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{
"cells": [
{
"cell_type": "markdown",
"id": "d7251293-fc5e-4b41-8d0b-1b50f1df0e40",
"metadata": {},
"source": [
"# Introduction\n",
"\n",
"## The task at hand is to use stylometry methods to analyze the 8 chapters of Caesar's _Commentaries on the Gallic War_. We know the 8th chapter--traditionally included in the book--was not written by Caesar himself. We'll try to show quantitatively that the 8th chapter is by a different author."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "2b2f0cd7-2adc-451d-91c8-afa496cacb3f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# requires Python 3.7, 3.8, 3.9 or 3.10\n",
"\n",
"# install the Classical Language Toolkit\n",
"# !pip install cltk"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d3b6884a-0ef5-430a-b872-81fa97b98c56",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/tim/predictive_analytics/DATA301_final_project/envs/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import pandas as pd\n",
"pd.set_option(\"display.max_columns\", None)\n",
"import matplotlib.pyplot as plt\n",
"from cltk import NLP\n",
"from cltk.data.fetch import FetchCorpus\n",
"from sklearn.feature_extraction.text import TfidfVectorizer, TfidfTransformer;\n",
"from sklearn.decomposition import PCA\n",
"from scipy.cluster.hierarchy import dendrogram, linkage"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f64d21f4-b285-4ba2-9b3f-8c8a7f29b45c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['lat_text_perseus',\n",
" 'lat_treebank_perseus',\n",
" 'lat_text_latin_library',\n",
" 'phi5',\n",
" 'phi7',\n",
" 'latin_proper_names_cltk',\n",
" 'lat_models_cltk',\n",
" 'latin_pos_lemmata_cltk',\n",
" 'latin_treebank_index_thomisticus',\n",
" 'latin_lexica_perseus',\n",
" 'latin_training_set_sentence_cltk',\n",
" 'latin_word2vec_cltk',\n",
" 'latin_text_antique_digiliblt',\n",
" 'latin_text_corpus_grammaticorum_latinorum',\n",
" 'latin_text_poeti_ditalia',\n",
" 'lat_text_tesserae',\n",
" 'cltk_lat_lewis_elementary_lexicon']"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# get texts\n",
"\n",
"corpus_downloader = FetchCorpus(language=\"lat\")\n",
"corpus_downloader.list_corpora"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "9bcb9cbb-ca49-4a21-93db-d14c96b33c1d",
"metadata": {},
"outputs": [],
"source": [
"# download plain text files of Caesar's Commentaries on the Gallic Wars\n",
"# the files download to ~/cltk_data/\n",
"\n",
"corpus_downloader.import_corpus(\"lat_text_tesserae\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cab0d102-f606-46c0-81c4-ec942c989430",
"metadata": {},
"outputs": [],
"source": [
"# read in the files and assign variables\n",
"\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.1.tess\") as fo:\n",
" ch1 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.2.tess\") as fo:\n",
" ch2 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.3.tess\") as fo:\n",
" ch3 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.4.tess\") as fo:\n",
" ch4 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.5.tess\") as fo:\n",
" ch5 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.6.tess\") as fo:\n",
" ch6 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.7.tess\") as fo:\n",
" ch7 = fo.read()\n",
"with open(\"/home/tim/cltk_data/lat/text/lat_text_tesserae/texts/caesar.de_bello_gallico.part.8.tess\") as fo:\n",
" ch8 = fo.read()"
]
},
{
"cell_type": "markdown",
"id": "6b25451d-3270-4f7c-a367-cfd4d720977a",
"metadata": {},
"source": [
"# EDA"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "46cc146d-77ae-4242-869c-45910279a544",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"‎𐤀 CLTK version '1.1.6'.\n",
"Pipeline for language 'Latin' (ISO: 'lat'): `LatinNormalizeProcess`, `LatinStanzaProcess`, `LatinEmbeddingsProcess`, `StopsProcess`, `LatinLexiconProcess`.\n"
]
}
],
"source": [
"# instantiate the pipeline\n",
"\n",
"cltk_nlp = NLP(language=\"lat\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "576affdd-cad6-485d-b0df-b97bd3b7611c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[<class 'cltk.alphabet.processes.LatinNormalizeProcess'>, <class 'cltk.dependency.processes.LatinStanzaProcess'>, <class 'cltk.embeddings.processes.LatinEmbeddingsProcess'>, <class 'cltk.stops.processes.StopsProcess'>]\n"
]
}
],
"source": [
"# pre-processing\n",
"# remove ``LatinLexiconProcess`` because it is slow (adds ~9 mins total)\n",
"\n",
"cltk_nlp.pipeline.processes.pop(-1)\n",
"print(cltk_nlp.pipeline.processes)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "3e94698d-be62-4086-92d4-0b150a94fe72",
"metadata": {},
"outputs": [],
"source": [
"# process each text\n",
"\n",
"text1 = cltk_nlp.analyze(text = ch1)\n",
"text2 = cltk_nlp.analyze(text = ch2)\n",
"text3 = cltk_nlp.analyze(text = ch3)\n",
"text4 = cltk_nlp.analyze(text = ch4)\n",
"text5 = cltk_nlp.analyze(text = ch5)\n",
"text6 = cltk_nlp.analyze(text = ch6)\n",
"text7 = cltk_nlp.analyze(text = ch7)\n",
"text8 = cltk_nlp.analyze(text = ch8)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d59ff7c5-bbf3-463c-8886-fb3144bb61a1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"cltk.core.data_types.Doc"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# what's inside?\n",
"\n",
"type(text1)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "27b3a9eb-b760-41f8-8f9f-be6756fa6fd5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Gallia', 'est', 'omnis', 'divisa', 'in', 'partes', 'tres']"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# the object contains the output of many useful processes\n",
"\n",
"# see https://docs.cltk.org/en/latest/quickstart.html\n",
"\n",
"# here are a few examples\n",
"\n",
"text1.tokens[5:12]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "de02b927-3461-43ca-9e71-9afe4459f22c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Gallia', 'sum', 'omnis', 'divisa', 'in', 'pars', 'tres']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text1.lemmata[5:12] # root words"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b928c3d4-8e21-4adf-b473-b43892145084",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['NOUN', 'AUX', 'DET', 'ADJ', 'ADP', 'NOUN', 'NUM']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text1.pos[5:12] # parts of speech"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "03523fbd-d62b-4a0d-88e7-ef82e21a39fb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'<caes. gal. 1.1.1> Gallia est omnis divisa in partes tres, quarum unam incolunt Belgae, aliam Aquita'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text1.raw[:100] # the raw text"
]
},
{
"cell_type": "markdown",
"id": "4bdf993c-cff5-45b1-8475-1fe9377be233",
"metadata": {},
"source": [
"# Stylometry"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "de2c0268-972c-454d-ae80-915bc11279f0",
"metadata": {},
"outputs": [],
"source": [
"# make a list of texts\n",
"\n",
"corpus = [text1.tokens, text2.tokens, text3.tokens, text4.tokens,\n",
" text5.tokens, text6.tokens, text7.tokens, text8.tokens]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "a7ad5f3d-d6f2-4864-a864-bc424351a40d",
"metadata": {},
"outputs": [],
"source": [
"# instantiate the vectorizer\n",
"\n",
"# text is already tokenized\n",
"# pass a dummy function so the vectorizer doesn't use\n",
"# its built in tokenizer\n",
"\n",
"def dummy_fun(doc):\n",
" return(doc)\n",
"\n",
"vectorizer = TfidfVectorizer(min_df = 1.0, max_features = 300,\n",
" tokenizer = dummy_fun,\n",
" preprocessor = dummy_fun,\n",
" token_pattern = None)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "e2af9d0e-6b18-43c2-8875-5a8f79f2d4df",
"metadata": {},
"outputs": [],
"source": [
"text_frequencies = vectorizer.fit_transform(corpus).todense()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "5b060eb1-b3dd-40a4-8d29-16a2f929e20e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"matrix([[3.84759305e-03, 3.84759305e-03, 6.95452444e-01, ...,\n",
" 9.61898262e-04, 2.88569479e-03, 1.92379652e-03],\n",
" [9.42567775e-03, 9.42567775e-03, 6.67337985e-01, ...,\n",
" 1.88513555e-03, 5.65540665e-03, 3.77027110e-03],\n",
" [4.21829232e-03, 4.21829232e-03, 7.06563963e-01, ...,\n",
" 2.10914616e-03, 6.32743848e-03, 4.21829232e-03],\n",
" ...,\n",
" [2.70298901e-03, 2.70298901e-03, 6.54123340e-01, ...,\n",
" 1.35149450e-03, 4.05448351e-03, 1.35149450e-03],\n",
" [1.27072753e-03, 1.27072753e-03, 6.77933140e-01, ...,\n",
" 6.35363767e-04, 3.17681884e-03, 1.27072753e-03],\n",
" [1.07680311e-02, 1.07680311e-02, 7.28636770e-01, ...,\n",
" 1.19644790e-03, 2.39289580e-03, 1.19644790e-03]])"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text_frequencies"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "7f1e86e8-f5a3-4d19-836e-affcd622004e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(8, 277)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text_frequencies.shape"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "160b9960-a03f-4240-a20b-5a61550b6c40",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"numpy.matrix"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(text_frequencies)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "def520f2-7563-418d-8c99-05558f08a25c",
"metadata": {},
"outputs": [],
"source": [
"# make the matrix a dataframe\n",
"\n",
"df = pd.DataFrame(text_frequencies)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "55b04e53-8374-4e86-b761-f5ae06df3341",
"metadata": {},
"outputs": [
{
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" <th>218</th>\n",
" <th>219</th>\n",
" <th>220</th>\n",
" <th>221</th>\n",
" <th>222</th>\n",
" <th>223</th>\n",
" <th>224</th>\n",
" <th>225</th>\n",
" <th>226</th>\n",
" <th>227</th>\n",
" <th>228</th>\n",
" <th>229</th>\n",
" <th>230</th>\n",
" <th>231</th>\n",
" <th>232</th>\n",
" <th>233</th>\n",
" <th>234</th>\n",
" <th>235</th>\n",
" <th>236</th>\n",
" <th>237</th>\n",
" <th>238</th>\n",
" <th>239</th>\n",
" <th>240</th>\n",
" <th>241</th>\n",
" <th>242</th>\n",
" <th>243</th>\n",
" <th>244</th>\n",
" <th>245</th>\n",
" <th>246</th>\n",
" <th>247</th>\n",
" <th>248</th>\n",
" <th>249</th>\n",
" <th>250</th>\n",
" <th>251</th>\n",
" <th>252</th>\n",
" <th>253</th>\n",
" <th>254</th>\n",
" <th>255</th>\n",
" <th>256</th>\n",
" <th>257</th>\n",
" <th>258</th>\n",
" <th>259</th>\n",
" <th>260</th>\n",
" <th>261</th>\n",
" <th>262</th>\n",
" <th>263</th>\n",
" <th>264</th>\n",
" <th>265</th>\n",
" <th>266</th>\n",
" <th>267</th>\n",
" <th>268</th>\n",
" <th>269</th>\n",
" <th>270</th>\n",
" <th>271</th>\n",
" <th>272</th>\n",
" <th>273</th>\n",
" <th>274</th>\n",
" <th>275</th>\n",
" <th>276</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.695452</td>\n",
" <td>0.307807</td>\n",
" <td>0.015390</td>\n",
" <td>0.002886</td>\n",
" <td>0.026933</td>\n",
" <td>0.015390</td>\n",
" <td>0.000962</td>\n",
" <td>0.090418</td>\n",
" <td>0.014428</td>\n",
" <td>0.276065</td>\n",
" <td>0.290493</td>\n",
" <td>0.041362</td>\n",
" <td>0.007695</td>\n",
" <td>0.016352</td>\n",
" <td>0.006733</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.014428</td>\n",
" <td>0.021162</td>\n",
" <td>0.012505</td>\n",
" <td>0.006733</td>\n",
" <td>0.007695</td>\n",
" <td>0.004809</td>\n",
" <td>0.003848</td>\n",
" <td>0.008657</td>\n",
" <td>0.002886</td>\n",
" <td>0.002886</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.003848</td>\n",
" <td>0.014428</td>\n",
" <td>0.028857</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.055790</td>\n",
" <td>0.042324</td>\n",
" <td>0.026933</td>\n",
" <td>0.102923</td>\n",
" <td>0.003848</td>\n",
" <td>0.005771</td>\n",
" <td>0.010581</td>\n",
" <td>0.011543</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.045209</td>\n",
" <td>0.033666</td>\n",
" <td>0.007695</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.013467</td>\n",
" <td>0.015390</td>\n",
" <td>0.023086</td>\n",
" <td>0.015390</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.010581</td>\n",
" <td>0.005771</td>\n",
" <td>0.000962</td>\n",
" <td>0.004809</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.001924</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.012505</td>\n",
" <td>0.004809</td>\n",
" <td>0.076952</td>\n",
" <td>0.034628</td>\n",
" <td>0.014428</td>\n",
" <td>0.003848</td>\n",
" <td>0.022124</td>\n",
" <td>0.001924</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.031743</td>\n",
" <td>0.002886</td>\n",
" <td>0.038476</td>\n",
" <td>0.019238</td>\n",
" <td>0.024047</td>\n",
" <td>0.005771</td>\n",
" <td>0.004809</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.021162</td>\n",
" <td>0.069257</td>\n",
" <td>0.011543</td>\n",
" <td>0.020200</td>\n",
" <td>0.042324</td>\n",
" <td>0.185646</td>\n",
" <td>0.016352</td>\n",
" <td>0.027895</td>\n",
" <td>0.051943</td>\n",
" <td>0.003848</td>\n",
" <td>0.012505</td>\n",
" <td>0.005771</td>\n",
" <td>0.012505</td>\n",
" <td>0.001924</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.018276</td>\n",
" <td>0.014428</td>\n",
" <td>0.011543</td>\n",
" <td>0.005771</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.290493</td>\n",
" <td>0.006733</td>\n",
" <td>0.009619</td>\n",
" <td>0.000962</td>\n",
" <td>0.020200</td>\n",
" <td>0.005771</td>\n",
" <td>0.006733</td>\n",
" <td>0.009619</td>\n",
" <td>0.010581</td>\n",
" <td>0.004809</td>\n",
" <td>0.013467</td>\n",
" <td>0.005771</td>\n",
" <td>0.003848</td>\n",
" <td>0.019238</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.170256</td>\n",
" <td>0.001924</td>\n",
" <td>0.016352</td>\n",
" <td>0.013467</td>\n",
" <td>0.006733</td>\n",
" <td>0.011543</td>\n",
" <td>0.010581</td>\n",
" <td>0.002886</td>\n",
" <td>0.009619</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.004809</td>\n",
" <td>0.008657</td>\n",
" <td>0.010581</td>\n",
" <td>0.003848</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.006733</td>\n",
" <td>0.005771</td>\n",
" <td>0.006733</td>\n",
" <td>0.003848</td>\n",
" <td>0.004809</td>\n",
" <td>0.004809</td>\n",
" <td>0.001924</td>\n",
" <td>0.007695</td>\n",
" <td>0.013467</td>\n",
" <td>0.002886</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.004809</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.029819</td>\n",
" <td>0.048095</td>\n",
" <td>0.004809</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.084647</td>\n",
" <td>0.005771</td>\n",
" <td>0.003848</td>\n",
" <td>0.011543</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.012505</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.006733</td>\n",
" <td>0.012505</td>\n",
" <td>0.001924</td>\n",
" <td>0.010581</td>\n",
" <td>0.001924</td>\n",
" <td>0.005771</td>\n",
" <td>0.013467</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.000962</td>\n",
" <td>0.031743</td>\n",
" <td>0.006733</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.024047</td>\n",
" <td>0.014428</td>\n",
" <td>0.011543</td>\n",
" <td>0.012505</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.005771</td>\n",
" <td>0.000962</td>\n",
" <td>0.003848</td>\n",
" <td>0.013467</td>\n",
" <td>0.003848</td>\n",
" <td>0.014428</td>\n",
" <td>0.012505</td>\n",
" <td>0.011543</td>\n",
" <td>0.026933</td>\n",
" <td>0.048095</td>\n",
" <td>0.000962</td>\n",
" <td>0.007695</td>\n",
" <td>0.007695</td>\n",
" <td>0.061561</td>\n",
" <td>0.008657</td>\n",
" <td>0.013467</td>\n",
" <td>0.007695</td>\n",
" <td>0.005771</td>\n",
" <td>0.016352</td>\n",
" <td>0.095228</td>\n",
" <td>0.000962</td>\n",
" <td>0.006733</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.013467</td>\n",
" <td>0.008657</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.012505</td>\n",
" <td>0.000962</td>\n",
" <td>0.086571</td>\n",
" <td>0.004809</td>\n",
" <td>0.018276</td>\n",
" <td>0.003848</td>\n",
" <td>0.041362</td>\n",
" <td>0.036552</td>\n",
" <td>0.000962</td>\n",
" <td>0.011543</td>\n",
" <td>0.006733</td>\n",
" <td>0.000962</td>\n",
" <td>0.015390</td>\n",
" <td>0.009619</td>\n",
" <td>0.001924</td>\n",
" <td>0.023086</td>\n",
" <td>0.004809</td>\n",
" <td>0.009619</td>\n",
" <td>0.010581</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.000962</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.007695</td>\n",
" <td>0.005771</td>\n",
" <td>0.008657</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.008657</td>\n",
" <td>0.002886</td>\n",
" <td>0.005771</td>\n",
" <td>0.001924</td>\n",
" <td>0.070219</td>\n",
" <td>0.024047</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.667338</td>\n",
" <td>0.286541</td>\n",
" <td>0.022622</td>\n",
" <td>0.001885</td>\n",
" <td>0.030162</td>\n",
" <td>0.018851</td>\n",
" <td>0.003770</td>\n",
" <td>0.094257</td>\n",
" <td>0.022622</td>\n",
" <td>0.290311</td>\n",
" <td>0.312933</td>\n",
" <td>0.047128</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.005655</td>\n",
" <td>0.013196</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.005655</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.018851</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.033932</td>\n",
" <td>0.084831</td>\n",
" <td>0.041473</td>\n",
" <td>0.135730</td>\n",
" <td>0.007541</td>\n",
" <td>0.005655</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.016966</td>\n",
" <td>0.062209</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.011311</td>\n",
" <td>0.030162</td>\n",
" <td>0.030162</td>\n",
" <td>0.016966</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.011311</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.007541</td>\n",
" <td>0.015081</td>\n",
" <td>0.096142</td>\n",
" <td>0.024507</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.001885</td>\n",
" <td>0.022622</td>\n",
" <td>0.037703</td>\n",
" <td>0.028277</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.026392</td>\n",
" <td>0.018851</td>\n",
" <td>0.052784</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.037703</td>\n",
" <td>0.162122</td>\n",
" <td>0.020736</td>\n",
" <td>0.018851</td>\n",
" <td>0.081061</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.016966</td>\n",
" <td>0.007541</td>\n",
" <td>0.024507</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.312933</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.026392</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.011311</td>\n",
" <td>0.024507</td>\n",
" <td>0.013196</td>\n",
" <td>0.018851</td>\n",
" <td>0.009426</td>\n",
" <td>0.007541</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.214905</td>\n",
" <td>0.001885</td>\n",
" <td>0.020736</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.013196</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.022622</td>\n",
" <td>0.026392</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.013196</td>\n",
" <td>0.007541</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.013196</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.018851</td>\n",
" <td>0.041473</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.001885</td>\n",
" <td>0.054669</td>\n",
" <td>0.026392</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.007541</td>\n",
" <td>0.024507</td>\n",
" <td>0.007541</td>\n",
" <td>0.016966</td>\n",
" <td>0.024507</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.018851</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.011311</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.007541</td>\n",
" <td>0.018851</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.013196</td>\n",
" <td>0.003770</td>\n",
" <td>0.013196</td>\n",
" <td>0.037703</td>\n",
" <td>0.028277</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.082946</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.016966</td>\n",
" <td>0.056554</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.018851</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.056554</td>\n",
" <td>0.001885</td>\n",
" <td>0.013196</td>\n",
" <td>0.005655</td>\n",
" <td>0.022622</td>\n",
" <td>0.018851</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.016966</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.015081</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.073520</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.706564</td>\n",
" <td>0.278407</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.021091</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.052729</td>\n",
" <td>0.021091</td>\n",
" <td>0.291062</td>\n",
" <td>0.312154</td>\n",
" <td>0.023201</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.027419</td>\n",
" <td>0.040074</td>\n",
" <td>0.059056</td>\n",
" <td>0.103348</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.002109</td>\n",
" <td>0.059056</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.027419</td>\n",
" <td>0.021091</td>\n",
" <td>0.018982</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.014764</td>\n",
" <td>0.086475</td>\n",
" <td>0.023201</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.016873</td>\n",
" <td>0.008437</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.018982</td>\n",
" <td>0.006327</td>\n",
" <td>0.031637</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.029528</td>\n",
" <td>0.021091</td>\n",
" <td>0.008437</td>\n",
" <td>0.012655</td>\n",
" <td>0.040074</td>\n",
" <td>0.156077</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.075929</td>\n",
" <td>0.004218</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.312154</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.031637</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.016873</td>\n",
" <td>0.010546</td>\n",
" <td>0.021091</td>\n",
" <td>0.021091</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.187714</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.012655</td>\n",
" <td>0.012655</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.016873</td>\n",
" <td>0.050620</td>\n",
" <td>0.012655</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.048510</td>\n",
" <td>0.010546</td>\n",
" <td>0.010546</td>\n",
" <td>0.012655</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.025310</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.025310</td>\n",
" <td>0.010546</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.018982</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.023201</td>\n",
" <td>0.025310</td>\n",
" <td>0.021091</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.006327</td>\n",
" <td>0.040074</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.016873</td>\n",
" <td>0.069602</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.012655</td>\n",
" <td>0.012655</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.052729</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.014764</td>\n",
" <td>0.018982</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.023201</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.054838</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.662893</td>\n",
" <td>0.278679</td>\n",
" <td>0.016490</td>\n",
" <td>0.003298</td>\n",
" <td>0.036278</td>\n",
" <td>0.018139</td>\n",
" <td>0.006596</td>\n",
" <td>0.067608</td>\n",
" <td>0.013192</td>\n",
" <td>0.306712</td>\n",
" <td>0.319903</td>\n",
" <td>0.057715</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.018139</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.039576</td>\n",
" <td>0.041225</td>\n",
" <td>0.029682</td>\n",
" <td>0.126972</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.084098</td>\n",
" <td>0.019788</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.014841</td>\n",
" <td>0.019788</td>\n",
" <td>0.016490</td>\n",
" <td>0.023086</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.080800</td>\n",
" <td>0.026384</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.019788</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.016490</td>\n",
" <td>0.023086</td>\n",
" <td>0.026384</td>\n",
" <td>0.008245</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.019788</td>\n",
" <td>0.024735</td>\n",
" <td>0.037927</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.037927</td>\n",
" <td>0.202825</td>\n",
" <td>0.009894</td>\n",
" <td>0.016490</td>\n",
" <td>0.092343</td>\n",
" <td>0.001649</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.008245</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.319903</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.026384</td>\n",
" <td>0.011543</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.019788</td>\n",
" <td>0.013192</td>\n",
" <td>0.011543</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.016490</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.194580</td>\n",
" <td>0.006596</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.016490</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.001649</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.056066</td>\n",
" <td>0.008245</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.044523</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.008245</td>\n",
" <td>0.018139</td>\n",
" <td>0.008245</td>\n",
" <td>0.011543</td>\n",
" <td>0.031331</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.019788</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.008245</td>\n",
" <td>0.009894</td>\n",
" <td>0.004947</td>\n",
" <td>0.013192</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.019788</td>\n",
" <td>0.006596</td>\n",
" <td>0.018139</td>\n",
" <td>0.052768</td>\n",
" <td>0.028033</td>\n",
" <td>0.006596</td>\n",
" <td>0.013192</td>\n",
" <td>0.011543</td>\n",
" <td>0.056066</td>\n",
" <td>0.028033</td>\n",
" <td>0.004947</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.016490</td>\n",
" <td>0.061013</td>\n",
" <td>0.001649</td>\n",
" <td>0.013192</td>\n",
" <td>0.018139</td>\n",
" <td>0.008245</td>\n",
" <td>0.026384</td>\n",
" <td>0.008245</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.014841</td>\n",
" <td>0.006596</td>\n",
" <td>0.080800</td>\n",
" <td>0.003298</td>\n",
" <td>0.014841</td>\n",
" <td>0.006596</td>\n",
" <td>0.028033</td>\n",
" <td>0.028033</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.023086</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.019788</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.052768</td>\n",
" <td>0.016490</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.655680</td>\n",
" <td>0.314201</td>\n",
" <td>0.008082</td>\n",
" <td>0.002021</td>\n",
" <td>0.015154</td>\n",
" <td>0.010103</td>\n",
" <td>0.002021</td>\n",
" <td>0.093957</td>\n",
" <td>0.022226</td>\n",
" <td>0.313191</td>\n",
" <td>0.335417</td>\n",
" <td>0.032329</td>\n",
" <td>0.005051</td>\n",
" <td>0.018185</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.013134</td>\n",
" <td>0.013134</td>\n",
" <td>0.007072</td>\n",
" <td>0.002021</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.007072</td>\n",
" <td>0.005051</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.009093</td>\n",
" <td>0.030309</td>\n",
" <td>0.058597</td>\n",
" <td>0.025257</td>\n",
" <td>0.135379</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.008082</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.082844</td>\n",
" <td>0.016165</td>\n",
" <td>0.005051</td>\n",
" <td>0.001010</td>\n",
" <td>0.009093</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.018185</td>\n",
" <td>0.012124</td>\n",
" <td>0.019196</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.020206</td>\n",
" <td>0.005051</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.008082</td>\n",
" <td>0.096988</td>\n",
" <td>0.037381</td>\n",
" <td>0.014144</td>\n",
" <td>0.001010</td>\n",
" <td>0.013134</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.005051</td>\n",
" <td>0.025257</td>\n",
" <td>0.001010</td>\n",
" <td>0.024247</td>\n",
" <td>0.012124</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.010103</td>\n",
" <td>0.005051</td>\n",
" <td>0.011113</td>\n",
" <td>0.010103</td>\n",
" <td>0.040412</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.036371</td>\n",
" <td>0.136390</td>\n",
" <td>0.007072</td>\n",
" <td>0.020206</td>\n",
" <td>0.079813</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.009093</td>\n",
" <td>0.011113</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.335417</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.012124</td>\n",
" <td>0.013134</td>\n",
" <td>0.012124</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.017175</td>\n",
" <td>0.005051</td>\n",
" <td>0.015154</td>\n",
" <td>0.008082</td>\n",
" <td>0.006062</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.177812</td>\n",
" <td>0.002021</td>\n",
" <td>0.013134</td>\n",
" <td>0.010103</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.015154</td>\n",
" <td>0.010103</td>\n",
" <td>0.006062</td>\n",
" <td>0.012124</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.020206</td>\n",
" <td>0.014144</td>\n",
" <td>0.006062</td>\n",
" <td>0.006062</td>\n",
" <td>0.001010</td>\n",
" <td>0.010103</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.007072</td>\n",
" <td>0.004041</td>\n",
" <td>0.012124</td>\n",
" <td>0.005051</td>\n",
" <td>0.021216</td>\n",
" <td>0.007072</td>\n",
" <td>0.011113</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.016165</td>\n",
" <td>0.035360</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.041422</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.007072</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.005051</td>\n",
" <td>0.032329</td>\n",
" <td>0.007072</td>\n",
" <td>0.006062</td>\n",
" <td>0.029298</td>\n",
" <td>0.006062</td>\n",
" <td>0.007072</td>\n",
" <td>0.009093</td>\n",
" <td>0.013134</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.004041</td>\n",
" <td>0.013134</td>\n",
" <td>0.011113</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.012124</td>\n",
" <td>0.006062</td>\n",
" <td>0.011113</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.019196</td>\n",
" <td>0.001010</td>\n",
" <td>0.008082</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.027278</td>\n",
" <td>0.023237</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.009093</td>\n",
" <td>0.040412</td>\n",
" <td>0.014144</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.014144</td>\n",
" <td>0.059607</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.011113</td>\n",
" <td>0.016165</td>\n",
" <td>0.022226</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.012124</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.003031</td>\n",
" <td>0.061628</td>\n",
" <td>0.004041</td>\n",
" <td>0.016165</td>\n",
" <td>0.002021</td>\n",
" <td>0.021216</td>\n",
" <td>0.010103</td>\n",
" <td>0.006062</td>\n",
" <td>0.009093</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.004041</td>\n",
" <td>0.011113</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.001010</td>\n",
" <td>0.006062</td>\n",
" <td>0.018185</td>\n",
" <td>0.004041</td>\n",
" <td>0.005051</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.005051</td>\n",
" <td>0.005051</td>\n",
" <td>0.008082</td>\n",
" <td>0.001010</td>\n",
" <td>0.063648</td>\n",
" <td>0.010103</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.654123</td>\n",
" <td>0.328413</td>\n",
" <td>0.016218</td>\n",
" <td>0.004054</td>\n",
" <td>0.043248</td>\n",
" <td>0.017569</td>\n",
" <td>0.001351</td>\n",
" <td>0.070278</td>\n",
" <td>0.013515</td>\n",
" <td>0.316250</td>\n",
" <td>0.329765</td>\n",
" <td>0.020272</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.006757</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.012163</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.012163</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.018921</td>\n",
" <td>0.051357</td>\n",
" <td>0.029733</td>\n",
" <td>0.108120</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.009460</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.087847</td>\n",
" <td>0.054060</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.013515</td>\n",
" <td>0.006757</td>\n",
" <td>0.017569</td>\n",
" <td>0.010812</td>\n",
" <td>0.021624</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.009460</td>\n",
" <td>0.002703</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.079738</td>\n",
" <td>0.037842</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.008109</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.024327</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.028381</td>\n",
" <td>0.013515</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.009460</td>\n",
" <td>0.012163</td>\n",
" <td>0.012163</td>\n",
" <td>0.027030</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.051357</td>\n",
" <td>0.120283</td>\n",
" <td>0.017569</td>\n",
" <td>0.013515</td>\n",
" <td>0.068926</td>\n",
" <td>0.008109</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.010812</td>\n",
" <td>0.014866</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.329765</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.020272</td>\n",
" <td>0.014866</td>\n",
" <td>0.006757</td>\n",
" <td>0.009460</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.006757</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.201373</td>\n",
" <td>0.001351</td>\n",
" <td>0.016218</td>\n",
" <td>0.009460</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.018921</td>\n",
" <td>0.018921</td>\n",
" <td>0.002703</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.031084</td>\n",
" <td>0.039193</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.054060</td>\n",
" <td>0.005406</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.024327</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.025678</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.020272</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.009460</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.021624</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.039193</td>\n",
" <td>0.025678</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.064872</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.017569</td>\n",
" <td>0.039193</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.008109</td>\n",
" <td>0.010812</td>\n",
" <td>0.021624</td>\n",
" <td>0.014866</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.013515</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.012163</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.068926</td>\n",
" <td>0.001351</td>\n",
" <td>0.018921</td>\n",
" <td>0.001351</td>\n",
" <td>0.029733</td>\n",
" <td>0.009460</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.032436</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.005406</td>\n",
" <td>0.067575</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.001271</td>\n",
" <td>0.001271</td>\n",
" <td>0.677933</td>\n",
" <td>0.321494</td>\n",
" <td>0.009530</td>\n",
" <td>0.001906</td>\n",
" <td>0.013978</td>\n",
" <td>0.005718</td>\n",
" <td>0.000635</td>\n",
" <td>0.090857</td>\n",
" <td>0.022238</td>\n",
" <td>0.310058</td>\n",
" <td>0.332295</td>\n",
" <td>0.032404</td>\n",
" <td>0.002541</td>\n",
" <td>0.010166</td>\n",
" <td>0.006354</td>\n",
" <td>0.008260</td>\n",
" <td>0.001906</td>\n",
" <td>0.010166</td>\n",
" <td>0.004448</td>\n",
" <td>0.010166</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.000635</td>\n",
" <td>0.001906</td>\n",
" <td>0.015884</td>\n",
" <td>0.003177</td>\n",
" <td>0.000635</td>\n",
" <td>0.005718</td>\n",
" <td>0.004448</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.000635</td>\n",
" <td>0.004448</td>\n",
" <td>0.003812</td>\n",
" <td>0.008260</td>\n",
" <td>0.011437</td>\n",
" <td>0.003812</td>\n",
" <td>0.008260</td>\n",
" <td>0.002541</td>\n",
" <td>0.019061</td>\n",
" <td>0.070525</td>\n",
" <td>0.022238</td>\n",
" <td>0.111824</td>\n",
" <td>0.005718</td>\n",
" <td>0.001271</td>\n",
" <td>0.013343</td>\n",
" <td>0.004448</td>\n",
" <td>0.009530</td>\n",
" <td>0.003177</td>\n",
" <td>0.073702</td>\n",
" <td>0.019061</td>\n",
" <td>0.003177</td>\n",
" <td>0.003177</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.012072</td>\n",
" <td>0.019061</td>\n",
" <td>0.028591</td>\n",
" <td>0.019061</td>\n",
" <td>0.010166</td>\n",
" <td>0.000635</td>\n",
" <td>0.006354</td>\n",
" <td>0.005083</td>\n",
" <td>0.005718</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.005083</td>\n",
" <td>0.006989</td>\n",
" <td>0.001271</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.010801</td>\n",
" <td>0.008260</td>\n",
" <td>0.057183</td>\n",
" <td>0.033674</td>\n",
" <td>0.013978</td>\n",
" <td>0.003177</td>\n",
" <td>0.008260</td>\n",
" <td>0.004448</td>\n",
" <td>0.004448</td>\n",
" <td>0.005718</td>\n",
" <td>0.013343</td>\n",
" <td>0.002541</td>\n",
" <td>0.020332</td>\n",
" <td>0.015884</td>\n",
" <td>0.010166</td>\n",
" <td>0.010166</td>\n",
" <td>0.008260</td>\n",
" <td>0.007624</td>\n",
" <td>0.010801</td>\n",
" <td>0.014613</td>\n",
" <td>0.021602</td>\n",
" <td>0.001906</td>\n",
" <td>0.008895</td>\n",
" <td>0.020332</td>\n",
" <td>0.134062</td>\n",
" <td>0.006989</td>\n",
" <td>0.006354</td>\n",
" <td>0.077514</td>\n",
" <td>0.005083</td>\n",
" <td>0.010166</td>\n",
" <td>0.003812</td>\n",
" <td>0.006989</td>\n",
" <td>0.001271</td>\n",
" <td>0.001906</td>\n",
" <td>0.005083</td>\n",
" <td>0.004448</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.005083</td>\n",
" <td>0.332295</td>\n",
" <td>0.001906</td>\n",
" <td>0.005083</td>\n",
" <td>0.000635</td>\n",
" <td>0.013978</td>\n",
" <td>0.008260</td>\n",
" <td>0.001271</td>\n",
" <td>0.003812</td>\n",
" <td>0.012707</td>\n",
" <td>0.012072</td>\n",
" <td>0.017155</td>\n",
" <td>0.015249</td>\n",
" <td>0.005083</td>\n",
" <td>0.011437</td>\n",
" <td>0.001906</td>\n",
" <td>0.003177</td>\n",
" <td>0.147404</td>\n",
" <td>0.001906</td>\n",
" <td>0.012707</td>\n",
" <td>0.006989</td>\n",
" <td>0.007624</td>\n",
" <td>0.001906</td>\n",
" <td>0.004448</td>\n",
" <td>0.013343</td>\n",
" <td>0.002541</td>\n",
" <td>0.000635</td>\n",
" <td>0.007624</td>\n",
" <td>0.003177</td>\n",
" <td>0.007624</td>\n",
" <td>0.010166</td>\n",
" <td>0.020332</td>\n",
" <td>0.007624</td>\n",
" <td>0.002541</td>\n",
" <td>0.006989</td>\n",
" <td>0.002541</td>\n",
" <td>0.008260</td>\n",
" <td>0.000635</td>\n",
" <td>0.006989</td>\n",
" <td>0.003812</td>\n",
" <td>0.003177</td>\n",
" <td>0.011437</td>\n",
" <td>0.005083</td>\n",
" <td>0.010166</td>\n",
" <td>0.005083</td>\n",
" <td>0.007624</td>\n",
" <td>0.003812</td>\n",
" <td>0.005083</td>\n",
" <td>0.001271</td>\n",
" <td>0.002541</td>\n",
" <td>0.003177</td>\n",
" <td>0.035580</td>\n",
" <td>0.024144</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.003177</td>\n",
" <td>0.045746</td>\n",
" <td>0.004448</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.008895</td>\n",
" <td>0.006354</td>\n",
" <td>0.005083</td>\n",
" <td>0.023508</td>\n",
" <td>0.010166</td>\n",
" <td>0.005083</td>\n",
" <td>0.026050</td>\n",
" <td>0.003812</td>\n",
" <td>0.006354</td>\n",
" <td>0.006989</td>\n",
" <td>0.013978</td>\n",
" <td>0.009530</td>\n",
" <td>0.005083</td>\n",
" <td>0.001906</td>\n",
" <td>0.001271</td>\n",
" <td>0.008260</td>\n",
" <td>0.013343</td>\n",
" <td>0.004448</td>\n",
" <td>0.006354</td>\n",
" <td>0.001906</td>\n",
" <td>0.001906</td>\n",
" <td>0.010166</td>\n",
" <td>0.009530</td>\n",
" <td>0.007624</td>\n",
" <td>0.006989</td>\n",
" <td>0.000635</td>\n",
" <td>0.003812</td>\n",
" <td>0.001906</td>\n",
" <td>0.000635</td>\n",
" <td>0.007624</td>\n",
" <td>0.005083</td>\n",
" <td>0.002541</td>\n",
" <td>0.003177</td>\n",
" <td>0.004448</td>\n",
" <td>0.012072</td>\n",
" <td>0.001271</td>\n",
" <td>0.006989</td>\n",
" <td>0.003177</td>\n",
" <td>0.005083</td>\n",
" <td>0.038122</td>\n",
" <td>0.023508</td>\n",
" <td>0.004448</td>\n",
" <td>0.006989</td>\n",
" <td>0.010166</td>\n",
" <td>0.047017</td>\n",
" <td>0.006989</td>\n",
" <td>0.015249</td>\n",
" <td>0.006989</td>\n",
" <td>0.003812</td>\n",
" <td>0.013978</td>\n",
" <td>0.054006</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.015249</td>\n",
" <td>0.015249</td>\n",
" <td>0.014613</td>\n",
" <td>0.013978</td>\n",
" <td>0.000635</td>\n",
" <td>0.003177</td>\n",
" <td>0.006354</td>\n",
" <td>0.001271</td>\n",
" <td>0.006354</td>\n",
" <td>0.003177</td>\n",
" <td>0.012707</td>\n",
" <td>0.004448</td>\n",
" <td>0.059089</td>\n",
" <td>0.001271</td>\n",
" <td>0.011437</td>\n",
" <td>0.000635</td>\n",
" <td>0.024779</td>\n",
" <td>0.012707</td>\n",
" <td>0.000635</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.005083</td>\n",
" <td>0.006354</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.012707</td>\n",
" <td>0.003177</td>\n",
" <td>0.010166</td>\n",
" <td>0.009530</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.002541</td>\n",
" <td>0.012707</td>\n",
" <td>0.004448</td>\n",
" <td>0.014613</td>\n",
" <td>0.003812</td>\n",
" <td>0.005083</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.008895</td>\n",
" <td>0.003177</td>\n",
" <td>0.003812</td>\n",
" <td>0.001271</td>\n",
" <td>0.061630</td>\n",
" <td>0.002541</td>\n",
" <td>0.000635</td>\n",
" <td>0.003177</td>\n",
" <td>0.001271</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>0.010768</td>\n",
" <td>0.010768</td>\n",
" <td>0.728637</td>\n",
" <td>0.302701</td>\n",
" <td>0.032304</td>\n",
" <td>0.001196</td>\n",
" <td>0.051447</td>\n",
" <td>0.025125</td>\n",
" <td>0.002393</td>\n",
" <td>0.052644</td>\n",
" <td>0.008375</td>\n",
" <td>0.278772</td>\n",
" <td>0.287147</td>\n",
" <td>0.040679</td>\n",
" <td>0.005982</td>\n",
" <td>0.011964</td>\n",
" <td>0.021536</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.001196</td>\n",
" <td>0.008375</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.001196</td>\n",
" <td>0.007179</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.007179</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.008375</td>\n",
" <td>0.008375</td>\n",
" <td>0.004786</td>\n",
" <td>0.008375</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.022733</td>\n",
" <td>0.033501</td>\n",
" <td>0.022733</td>\n",
" <td>0.096912</td>\n",
" <td>0.007179</td>\n",
" <td>0.009572</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.046661</td>\n",
" <td>0.035893</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.013161</td>\n",
" <td>0.002393</td>\n",
" <td>0.011964</td>\n",
" <td>0.026322</td>\n",
" <td>0.014357</td>\n",
" <td>0.007179</td>\n",
" <td>0.010768</td>\n",
" <td>0.003589</td>\n",
" <td>0.001196</td>\n",
" <td>0.021536</td>\n",
" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.008375</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.016750</td>\n",
" <td>0.008375</td>\n",
" <td>0.009572</td>\n",
" <td>0.139984</td>\n",
" <td>0.010768</td>\n",
" <td>0.003589</td>\n",
" <td>0.007179</td>\n",
" <td>0.010768</td>\n",
" <td>0.002393</td>\n",
" <td>0.004786</td>\n",
" <td>0.005982</td>\n",
" <td>0.015554</td>\n",
" <td>0.022733</td>\n",
" <td>0.028715</td>\n",
" <td>0.010768</td>\n",
" <td>0.007179</td>\n",
" <td>0.004786</td>\n",
" <td>0.013161</td>\n",
" <td>0.009572</td>\n",
" <td>0.007179</td>\n",
" <td>0.021536</td>\n",
" <td>0.040679</td>\n",
" <td>0.009572</td>\n",
" <td>0.032304</td>\n",
" <td>0.015554</td>\n",
" <td>0.087341</td>\n",
" <td>0.010768</td>\n",
" <td>0.005982</td>\n",
" <td>0.051447</td>\n",
" <td>0.008375</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.005982</td>\n",
" <td>0.003589</td>\n",
" <td>0.009572</td>\n",
" <td>0.002393</td>\n",
" <td>0.010768</td>\n",
" <td>0.009572</td>\n",
" <td>0.001196</td>\n",
" <td>0.009572</td>\n",
" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.287147</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.005982</td>\n",
" <td>0.005982</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.007179</td>\n",
" <td>0.013161</td>\n",
" <td>0.007179</td>\n",
" <td>0.028715</td>\n",
" <td>0.004786</td>\n",
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" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 4 5 6 \\\n",
"0 0.003848 0.003848 0.695452 0.307807 0.015390 0.002886 0.026933 \n",
"1 0.009426 0.009426 0.667338 0.286541 0.022622 0.001885 0.030162 \n",
"2 0.004218 0.004218 0.706564 0.278407 0.006327 0.004218 0.021091 \n",
"3 0.001649 0.001649 0.662893 0.278679 0.016490 0.003298 0.036278 \n",
"4 0.003031 0.003031 0.655680 0.314201 0.008082 0.002021 0.015154 \n",
"5 0.002703 0.002703 0.654123 0.328413 0.016218 0.004054 0.043248 \n",
"6 0.001271 0.001271 0.677933 0.321494 0.009530 0.001906 0.013978 \n",
"7 0.010768 0.010768 0.728637 0.302701 0.032304 0.001196 0.051447 \n",
"\n",
" 7 8 9 10 11 12 13 \\\n",
"0 0.015390 0.000962 0.090418 0.014428 0.276065 0.290493 0.041362 \n",
"1 0.018851 0.003770 0.094257 0.022622 0.290311 0.312933 0.047128 \n",
"2 0.014764 0.002109 0.052729 0.021091 0.291062 0.312154 0.023201 \n",
"3 0.018139 0.006596 0.067608 0.013192 0.306712 0.319903 0.057715 \n",
"4 0.010103 0.002021 0.093957 0.022226 0.313191 0.335417 0.032329 \n",
"5 0.017569 0.001351 0.070278 0.013515 0.316250 0.329765 0.020272 \n",
"6 0.005718 0.000635 0.090857 0.022238 0.310058 0.332295 0.032404 \n",
"7 0.025125 0.002393 0.052644 0.008375 0.278772 0.287147 0.040679 \n",
"\n",
" 14 15 16 17 18 19 20 \\\n",
"0 0.007695 0.016352 0.006733 0.007695 0.002886 0.000962 0.014428 \n",
"1 0.001885 0.015081 0.005655 0.013196 0.003770 0.001885 0.015081 \n",
"2 0.002109 0.006327 0.004218 0.010546 0.004218 0.004218 0.006327 \n",
"3 0.004947 0.011543 0.003298 0.004947 0.001649 0.001649 0.006596 \n",
"4 0.005051 0.018185 0.014144 0.003031 0.001010 0.002021 0.013134 \n",
"5 0.004054 0.010812 0.006757 0.006757 0.001351 0.004054 0.006757 \n",
"6 0.002541 0.010166 0.006354 0.008260 0.001906 0.010166 0.004448 \n",
"7 0.005982 0.011964 0.021536 0.016750 0.004786 0.001196 0.008375 \n",
"\n",
" 21 22 23 24 25 26 27 \\\n",
"0 0.021162 0.012505 0.006733 0.007695 0.004809 0.003848 0.008657 \n",
"1 0.005655 0.001885 0.007541 0.001885 0.001885 0.007541 0.018851 \n",
"2 0.004218 0.004218 0.006327 0.004218 0.002109 0.004218 0.014764 \n",
"3 0.001649 0.006596 0.001649 0.004947 0.003298 0.003298 0.018139 \n",
"4 0.013134 0.007072 0.002021 0.005051 0.003031 0.001010 0.012124 \n",
"5 0.012163 0.002703 0.001351 0.006757 0.002703 0.004054 0.010812 \n",
"6 0.010166 0.003812 0.003812 0.003812 0.000635 0.001906 0.015884 \n",
"7 0.016750 0.004786 0.002393 0.005982 0.002393 0.001196 0.001196 \n",
"\n",
" 28 29 30 31 32 33 34 \\\n",
"0 0.002886 0.002886 0.003848 0.003848 0.002886 0.002886 0.000962 \n",
"1 0.003770 0.001885 0.005655 0.003770 0.001885 0.003770 0.003770 \n",
"2 0.002109 0.002109 0.002109 0.014764 0.002109 0.006327 0.004218 \n",
"3 0.006596 0.003298 0.003298 0.011543 0.001649 0.004947 0.001649 \n",
"4 0.003031 0.007072 0.005051 0.005051 0.003031 0.002021 0.001010 \n",
"5 0.012163 0.008109 0.001351 0.006757 0.006757 0.008109 0.002703 \n",
"6 0.003177 0.000635 0.005718 0.004448 0.002541 0.005718 0.000635 \n",
"7 0.004786 0.001196 0.007179 0.009572 0.004786 0.007179 0.002393 \n",
"\n",
" 35 36 37 38 39 40 41 \\\n",
"0 0.003848 0.014428 0.028857 0.003848 0.000962 0.001924 0.002886 \n",
"1 0.001885 0.005655 0.009426 0.001885 0.003770 0.003770 0.001885 \n",
"2 0.006327 0.008437 0.004218 0.002109 0.010546 0.004218 0.004218 \n",
"3 0.009894 0.004947 0.011543 0.001649 0.003298 0.001649 0.001649 \n",
"4 0.003031 0.001010 0.005051 0.001010 0.001010 0.001010 0.009093 \n",
"5 0.006757 0.001351 0.004054 0.001351 0.005406 0.001351 0.002703 \n",
"6 0.004448 0.003812 0.008260 0.011437 0.003812 0.008260 0.002541 \n",
"7 0.005982 0.008375 0.008375 0.004786 0.008375 0.008375 0.001196 \n",
"\n",
" 42 43 44 45 46 47 48 \\\n",
"0 0.055790 0.042324 0.026933 0.102923 0.003848 0.005771 0.010581 \n",
"1 0.033932 0.084831 0.041473 0.135730 0.007541 0.005655 0.011311 \n",
"2 0.027419 0.040074 0.059056 0.103348 0.006327 0.004218 0.004218 \n",
"3 0.039576 0.041225 0.029682 0.126972 0.003298 0.004947 0.006596 \n",
"4 0.030309 0.058597 0.025257 0.135379 0.006062 0.003031 0.008082 \n",
"5 0.018921 0.051357 0.029733 0.108120 0.004054 0.004054 0.009460 \n",
"6 0.019061 0.070525 0.022238 0.111824 0.005718 0.001271 0.013343 \n",
"7 0.022733 0.033501 0.022733 0.096912 0.007179 0.009572 0.009572 \n",
"\n",
" 49 50 51 52 53 54 55 \\\n",
"0 0.011543 0.002886 0.008657 0.045209 0.033666 0.007695 0.006733 \n",
"1 0.005655 0.003770 0.016966 0.062209 0.009426 0.003770 0.001885 \n",
"2 0.004218 0.008437 0.002109 0.059056 0.014764 0.006327 0.006327 \n",
"3 0.009894 0.006596 0.009894 0.084098 0.019788 0.004947 0.009894 \n",
"4 0.006062 0.003031 0.004041 0.082844 0.016165 0.005051 0.001010 \n",
"5 0.006757 0.001351 0.004054 0.087847 0.054060 0.002703 0.002703 \n",
"6 0.004448 0.009530 0.003177 0.073702 0.019061 0.003177 0.003177 \n",
"7 0.004786 0.004786 0.004786 0.046661 0.035893 0.016750 0.004786 \n",
"\n",
" 56 57 58 59 60 61 62 \\\n",
"0 0.006733 0.006733 0.013467 0.015390 0.023086 0.015390 0.001924 \n",
"1 0.007541 0.001885 0.011311 0.030162 0.030162 0.016966 0.001885 \n",
"2 0.012655 0.002109 0.027419 0.021091 0.018982 0.021091 0.016873 \n",
"3 0.009894 0.006596 0.014841 0.019788 0.016490 0.023086 0.011543 \n",
"4 0.009093 0.005051 0.004041 0.018185 0.012124 0.019196 0.007072 \n",
"5 0.008109 0.013515 0.006757 0.017569 0.010812 0.021624 0.006757 \n",
"6 0.004448 0.008260 0.012072 0.019061 0.028591 0.019061 0.010166 \n",
"7 0.013161 0.002393 0.011964 0.026322 0.014357 0.007179 0.010768 \n",
"\n",
" 63 64 65 66 67 68 69 \\\n",
"0 0.002886 0.010581 0.005771 0.000962 0.004809 0.002886 0.008657 \n",
"1 0.005655 0.011311 0.007541 0.001885 0.007541 0.003770 0.003770 \n",
"2 0.006327 0.004218 0.012655 0.002109 0.002109 0.002109 0.012655 \n",
"3 0.003298 0.011543 0.003298 0.004947 0.001649 0.001649 0.006596 \n",
"4 0.003031 0.020206 0.005051 0.006062 0.004041 0.004041 0.009093 \n",
"5 0.001351 0.001351 0.004054 0.008109 0.004054 0.002703 0.009460 \n",
"6 0.000635 0.006354 0.005083 0.005718 0.003812 0.004448 0.008260 \n",
"7 0.003589 0.001196 0.021536 0.001196 0.002393 0.001196 0.008375 \n",
"\n",
" 70 71 72 73 74 75 76 \\\n",
"0 0.000962 0.001924 0.001924 0.007695 0.002886 0.012505 0.004809 \n",
"1 0.003770 0.003770 0.005655 0.003770 0.009426 0.007541 0.015081 \n",
"2 0.006327 0.004218 0.002109 0.008437 0.006327 0.008437 0.014764 \n",
"3 0.001649 0.006596 0.004947 0.003298 0.006596 0.003298 0.004947 \n",
"4 0.014144 0.003031 0.003031 0.004041 0.003031 0.011113 0.008082 \n",
"5 0.002703 0.005406 0.004054 0.004054 0.005406 0.004054 0.010812 \n",
"6 0.005083 0.006989 0.001271 0.002541 0.005718 0.010801 0.008260 \n",
"7 0.007179 0.003589 0.004786 0.004786 0.016750 0.008375 0.009572 \n",
"\n",
" 77 78 79 80 81 82 83 \\\n",
"0 0.076952 0.034628 0.014428 0.003848 0.022124 0.001924 0.014428 \n",
"1 0.096142 0.024507 0.003770 0.003770 0.007541 0.003770 0.003770 \n",
"2 0.086475 0.023201 0.002109 0.004218 0.016873 0.008437 0.012655 \n",
"3 0.080800 0.026384 0.009894 0.003298 0.019788 0.004947 0.003298 \n",
"4 0.096988 0.037381 0.014144 0.001010 0.013134 0.002021 0.006062 \n",
"5 0.079738 0.037842 0.004054 0.005406 0.013515 0.008109 0.006757 \n",
"6 0.057183 0.033674 0.013978 0.003177 0.008260 0.004448 0.004448 \n",
"7 0.139984 0.010768 0.003589 0.007179 0.010768 0.002393 0.004786 \n",
"\n",
" 84 85 86 87 88 89 90 \\\n",
"0 0.007695 0.031743 0.002886 0.038476 0.019238 0.024047 0.005771 \n",
"1 0.003770 0.011311 0.001885 0.022622 0.037703 0.028277 0.007541 \n",
"2 0.002109 0.018982 0.006327 0.031637 0.012655 0.008437 0.004218 \n",
"3 0.001649 0.009894 0.006596 0.016490 0.023086 0.026384 0.008245 \n",
"4 0.005051 0.025257 0.001010 0.024247 0.012124 0.009093 0.007072 \n",
"5 0.008109 0.024327 0.004054 0.010812 0.028381 0.013515 0.010812 \n",
"6 0.005718 0.013343 0.002541 0.020332 0.015884 0.010166 0.010166 \n",
"7 0.005982 0.015554 0.022733 0.028715 0.010768 0.007179 0.004786 \n",
"\n",
" 91 92 93 94 95 96 97 \\\n",
"0 0.004809 0.002886 0.008657 0.021162 0.069257 0.011543 0.020200 \n",
"1 0.009426 0.005655 0.026392 0.018851 0.052784 0.001885 0.009426 \n",
"2 0.004218 0.004218 0.010546 0.029528 0.021091 0.008437 0.012655 \n",
"3 0.013192 0.004947 0.019788 0.024735 0.037927 0.009894 0.006596 \n",
"4 0.010103 0.005051 0.011113 0.010103 0.040412 0.003031 0.011113 \n",
"5 0.005406 0.009460 0.012163 0.012163 0.027030 0.002703 0.002703 \n",
"6 0.008260 0.007624 0.010801 0.014613 0.021602 0.001906 0.008895 \n",
"7 0.013161 0.009572 0.007179 0.021536 0.040679 0.009572 0.032304 \n",
"\n",
" 98 99 100 101 102 103 104 \\\n",
"0 0.042324 0.185646 0.016352 0.027895 0.051943 0.003848 0.012505 \n",
"1 0.037703 0.162122 0.020736 0.018851 0.081061 0.003770 0.015081 \n",
"2 0.040074 0.156077 0.012655 0.008437 0.075929 0.004218 0.014764 \n",
"3 0.037927 0.202825 0.009894 0.016490 0.092343 0.001649 0.013192 \n",
"4 0.036371 0.136390 0.007072 0.020206 0.079813 0.002021 0.006062 \n",
"5 0.051357 0.120283 0.017569 0.013515 0.068926 0.008109 0.005406 \n",
"6 0.020332 0.134062 0.006989 0.006354 0.077514 0.005083 0.010166 \n",
"7 0.015554 0.087341 0.010768 0.005982 0.051447 0.008375 0.009572 \n",
"\n",
" 105 106 107 108 109 110 111 \\\n",
"0 0.005771 0.012505 0.001924 0.001924 0.002886 0.018276 0.014428 \n",
"1 0.009426 0.003770 0.001885 0.005655 0.005655 0.016966 0.007541 \n",
"2 0.004218 0.004218 0.004218 0.002109 0.016873 0.006327 0.002109 \n",
"3 0.004947 0.003298 0.001649 0.009894 0.008245 0.011543 0.011543 \n",
"4 0.005051 0.004041 0.001010 0.002021 0.009093 0.011113 0.002021 \n",
"5 0.006757 0.002703 0.002703 0.001351 0.010812 0.014866 0.013515 \n",
"6 0.003812 0.006989 0.001271 0.001906 0.005083 0.004448 0.004448 \n",
"7 0.004786 0.005982 0.003589 0.009572 0.002393 0.010768 0.009572 \n",
"\n",
" 112 113 114 115 116 117 118 \\\n",
"0 0.011543 0.005771 0.001924 0.002886 0.290493 0.006733 0.009619 \n",
"1 0.024507 0.007541 0.003770 0.003770 0.312933 0.003770 0.003770 \n",
"2 0.002109 0.006327 0.004218 0.008437 0.312154 0.002109 0.006327 \n",
"3 0.008245 0.008245 0.004947 0.011543 0.319903 0.003298 0.001649 \n",
"4 0.004041 0.003031 0.002021 0.004041 0.335417 0.002021 0.004041 \n",
"5 0.004054 0.008109 0.001351 0.004054 0.329765 0.004054 0.006757 \n",
"6 0.005083 0.004448 0.005083 0.005083 0.332295 0.001906 0.005083 \n",
"7 0.001196 0.009572 0.001196 0.002393 0.287147 0.007179 0.003589 \n",
"\n",
" 119 120 121 122 123 124 125 \\\n",
"0 0.000962 0.020200 0.005771 0.006733 0.009619 0.010581 0.004809 \n",
"1 0.001885 0.026392 0.001885 0.007541 0.011311 0.024507 0.013196 \n",
"2 0.002109 0.031637 0.008437 0.004218 0.010546 0.016873 0.010546 \n",
"3 0.001649 0.026384 0.011543 0.004947 0.006596 0.019788 0.013192 \n",
"4 0.012124 0.013134 0.012124 0.002021 0.003031 0.017175 0.005051 \n",
"5 0.001351 0.020272 0.014866 0.006757 0.009460 0.010812 0.005406 \n",
"6 0.000635 0.013978 0.008260 0.001271 0.003812 0.012707 0.012072 \n",
"7 0.005982 0.005982 0.008375 0.001196 0.007179 0.013161 0.007179 \n",
"\n",
" 126 127 128 129 130 131 132 \\\n",
"0 0.013467 0.005771 0.003848 0.019238 0.003848 0.002886 0.170256 \n",
"1 0.018851 0.009426 0.007541 0.007541 0.003770 0.005655 0.214905 \n",
"2 0.021091 0.021091 0.004218 0.010546 0.002109 0.006327 0.187714 \n",
"3 0.011543 0.006596 0.009894 0.016490 0.001649 0.004947 0.194580 \n",
"4 0.015154 0.008082 0.006062 0.012124 0.003031 0.006062 0.177812 \n",
"5 0.008109 0.006757 0.004054 0.002703 0.005406 0.004054 0.201373 \n",
"6 0.017155 0.015249 0.005083 0.011437 0.001906 0.003177 0.147404 \n",
"7 0.028715 0.004786 0.007179 0.013161 0.007179 0.004786 0.197414 \n",
"\n",
" 133 134 135 136 137 138 139 \\\n",
"0 0.001924 0.016352 0.013467 0.006733 0.011543 0.010581 0.002886 \n",
"1 0.001885 0.020736 0.001885 0.005655 0.005655 0.009426 0.001885 \n",
"2 0.004218 0.004218 0.008437 0.006327 0.002109 0.006327 0.008437 \n",
"3 0.006596 0.008245 0.008245 0.006596 0.006596 0.004947 0.003298 \n",
"4 0.002021 0.013134 0.010103 0.003031 0.003031 0.006062 0.015154 \n",
"5 0.001351 0.016218 0.009460 0.005406 0.006757 0.001351 0.008109 \n",
"6 0.001906 0.012707 0.006989 0.007624 0.001906 0.004448 0.013343 \n",
"7 0.001196 0.004786 0.014357 0.007179 0.005982 0.002393 0.003589 \n",
"\n",
" 140 141 142 143 144 145 146 \\\n",
"0 0.009619 0.001924 0.003848 0.002886 0.001924 0.004809 0.008657 \n",
"1 0.013196 0.001885 0.007541 0.003770 0.005655 0.003770 0.022622 \n",
"2 0.006327 0.004218 0.004218 0.002109 0.014764 0.012655 0.012655 \n",
"3 0.006596 0.003298 0.001649 0.001649 0.001649 0.016490 0.009894 \n",
"4 0.010103 0.006062 0.012124 0.002021 0.003031 0.004041 0.020206 \n",
"5 0.009460 0.001351 0.009460 0.001351 0.001351 0.005406 0.018921 \n",
"6 0.002541 0.000635 0.007624 0.003177 0.007624 0.010166 0.020332 \n",
"7 0.005982 0.001196 0.016750 0.002393 0.004786 0.016750 0.019143 \n",
"\n",
" 147 148 149 150 151 152 153 \\\n",
"0 0.010581 0.003848 0.001924 0.003848 0.006733 0.005771 0.006733 \n",
"1 0.026392 0.001885 0.005655 0.003770 0.005655 0.007541 0.009426 \n",
"2 0.004218 0.008437 0.006327 0.004218 0.006327 0.002109 0.016873 \n",
"3 0.003298 0.004947 0.009894 0.001649 0.011543 0.003298 0.009894 \n",
"4 0.014144 0.006062 0.006062 0.001010 0.010103 0.005051 0.004041 \n",
"5 0.018921 0.002703 0.009460 0.001351 0.008109 0.002703 0.010812 \n",
"6 0.007624 0.002541 0.006989 0.002541 0.008260 0.000635 0.006989 \n",
"7 0.016750 0.003589 0.010768 0.002393 0.016750 0.002393 0.007179 \n",
"\n",
" 154 155 156 157 158 159 160 \\\n",
"0 0.003848 0.004809 0.004809 0.001924 0.007695 0.013467 0.002886 \n",
"1 0.001885 0.009426 0.013196 0.007541 0.005655 0.007541 0.003770 \n",
"2 0.004218 0.002109 0.014764 0.002109 0.010546 0.004218 0.002109 \n",
"3 0.003298 0.006596 0.006596 0.006596 0.006596 0.001649 0.001649 \n",
"4 0.007072 0.004041 0.012124 0.005051 0.021216 0.007072 0.011113 \n",
"5 0.005406 0.004054 0.006757 0.002703 0.008109 0.002703 0.004054 \n",
"6 0.003812 0.003177 0.011437 0.005083 0.010166 0.005083 0.007624 \n",
"7 0.004786 0.009572 0.003589 0.002393 0.001196 0.004786 0.013161 \n",
"\n",
" 161 162 163 164 165 166 167 \\\n",
"0 0.003848 0.003848 0.004809 0.000962 0.002886 0.029819 0.048095 \n",
"1 0.003770 0.013196 0.007541 0.003770 0.009426 0.018851 0.041473 \n",
"2 0.004218 0.010546 0.002109 0.002109 0.008437 0.016873 0.050620 \n",
"3 0.008245 0.004947 0.003298 0.001649 0.003298 0.011543 0.056066 \n",
"4 0.003031 0.006062 0.004041 0.004041 0.004041 0.016165 0.035360 \n",
"5 0.010812 0.004054 0.002703 0.002703 0.004054 0.031084 0.039193 \n",
"6 0.003812 0.005083 0.001271 0.002541 0.003177 0.035580 0.024144 \n",
"7 0.002393 0.003589 0.004786 0.009572 0.004786 0.032304 0.026322 \n",
"\n",
" 168 169 170 171 172 173 174 \\\n",
"0 0.004809 0.003848 0.002886 0.000962 0.084647 0.005771 0.003848 \n",
"1 0.011311 0.005655 0.005655 0.001885 0.054669 0.026392 0.003770 \n",
"2 0.012655 0.004218 0.004218 0.002109 0.048510 0.010546 0.010546 \n",
"3 0.008245 0.003298 0.004947 0.001649 0.044523 0.011543 0.003298 \n",
"4 0.012124 0.003031 0.005051 0.004041 0.041422 0.007072 0.003031 \n",
"5 0.004054 0.004054 0.001351 0.002703 0.054060 0.005406 0.002703 \n",
"6 0.003812 0.003812 0.004448 0.003177 0.045746 0.004448 0.002541 \n",
"7 0.002393 0.003589 0.002393 0.001196 0.050251 0.017947 0.005982 \n",
"\n",
" 175 176 177 178 179 180 181 \\\n",
"0 0.011543 0.006733 0.006733 0.012505 0.014428 0.007695 0.006733 \n",
"1 0.015081 0.007541 0.003770 0.007541 0.024507 0.007541 0.016966 \n",
"2 0.012655 0.014764 0.006327 0.006327 0.025310 0.008437 0.010546 \n",
"3 0.009894 0.003298 0.006596 0.008245 0.018139 0.008245 0.011543 \n",
"4 0.007072 0.006062 0.003031 0.005051 0.032329 0.007072 0.006062 \n",
"5 0.001351 0.024327 0.001351 0.002703 0.025678 0.005406 0.006757 \n",
"6 0.005718 0.008895 0.006354 0.005083 0.023508 0.010166 0.005083 \n",
"7 0.007179 0.008375 0.002393 0.005982 0.019143 0.004786 0.009572 \n",
"\n",
" 182 183 184 185 186 187 188 \\\n",
"0 0.012505 0.001924 0.010581 0.001924 0.005771 0.013467 0.003848 \n",
"1 0.024507 0.003770 0.009426 0.005655 0.018851 0.015081 0.001885 \n",
"2 0.025310 0.010546 0.010546 0.006327 0.016873 0.006327 0.002109 \n",
"3 0.031331 0.001649 0.003298 0.011543 0.011543 0.019788 0.006596 \n",
"4 0.029298 0.006062 0.007072 0.009093 0.013134 0.014144 0.003031 \n",
"5 0.020272 0.005406 0.013515 0.009460 0.005406 0.005406 0.008109 \n",
"6 0.026050 0.003812 0.006354 0.006989 0.013978 0.009530 0.005083 \n",
"7 0.023929 0.004786 0.010768 0.002393 0.013161 0.005982 0.008375 \n",
"\n",
" 189 190 191 192 193 194 195 \\\n",
"0 0.003848 0.000962 0.000962 0.031743 0.006733 0.003848 0.000962 \n",
"1 0.001885 0.003770 0.001885 0.011311 0.007541 0.003770 0.001885 \n",
"2 0.010546 0.002109 0.002109 0.018982 0.002109 0.002109 0.002109 \n",
"3 0.004947 0.003298 0.009894 0.011543 0.003298 0.001649 0.004947 \n",
"4 0.002021 0.001010 0.004041 0.013134 0.011113 0.004041 0.003031 \n",
"5 0.009460 0.001351 0.004054 0.021624 0.001351 0.005406 0.004054 \n",
"6 0.001906 0.001271 0.008260 0.013343 0.004448 0.006354 0.001906 \n",
"7 0.007179 0.004786 0.002393 0.010768 0.013161 0.002393 0.003589 \n",
"\n",
" 196 197 198 199 200 201 202 \\\n",
"0 0.024047 0.014428 0.011543 0.012505 0.000962 0.002886 0.001924 \n",
"1 0.007541 0.007541 0.018851 0.011311 0.009426 0.009426 0.003770 \n",
"2 0.002109 0.016873 0.014764 0.006327 0.004218 0.002109 0.002109 \n",
"3 0.009894 0.008245 0.009894 0.004947 0.013192 0.003298 0.001649 \n",
"4 0.003031 0.012124 0.006062 0.011113 0.005051 0.003031 0.001010 \n",
"5 0.002703 0.004054 0.005406 0.005406 0.008109 0.001351 0.002703 \n",
"6 0.001906 0.010166 0.009530 0.007624 0.006989 0.000635 0.003812 \n",
"7 0.003589 0.013161 0.013161 0.014357 0.001196 0.001196 0.004786 \n",
"\n",
" 203 204 205 206 207 208 209 \\\n",
"0 0.002886 0.001924 0.002886 0.000962 0.005771 0.000962 0.003848 \n",
"1 0.003770 0.001885 0.003770 0.005655 0.009426 0.001885 0.003770 \n",
"2 0.002109 0.002109 0.002109 0.002109 0.014764 0.002109 0.006327 \n",
"3 0.004947 0.003298 0.003298 0.001649 0.003298 0.003298 0.006596 \n",
"4 0.001010 0.002021 0.003031 0.001010 0.003031 0.003031 0.001010 \n",
"5 0.002703 0.001351 0.013515 0.004054 0.002703 0.006757 0.002703 \n",
"6 0.001906 0.000635 0.007624 0.005083 0.002541 0.003177 0.004448 \n",
"7 0.003589 0.003589 0.009572 0.001196 0.005982 0.003589 0.004786 \n",
"\n",
" 210 211 212 213 214 215 216 \\\n",
"0 0.013467 0.003848 0.014428 0.012505 0.011543 0.026933 0.048095 \n",
"1 0.009426 0.005655 0.013196 0.003770 0.013196 0.037703 0.028277 \n",
"2 0.014764 0.002109 0.010546 0.006327 0.023201 0.025310 0.021091 \n",
"3 0.004947 0.006596 0.019788 0.006596 0.018139 0.052768 0.028033 \n",
"4 0.019196 0.001010 0.008082 0.002021 0.006062 0.027278 0.023237 \n",
"5 0.013515 0.004054 0.004054 0.002703 0.004054 0.039193 0.025678 \n",
"6 0.012072 0.001271 0.006989 0.003177 0.005083 0.038122 0.023508 \n",
"7 0.009572 0.002393 0.010768 0.004786 0.010768 0.043072 0.038286 \n",
"\n",
" 217 218 219 220 221 222 223 \\\n",
"0 0.000962 0.007695 0.007695 0.061561 0.008657 0.013467 0.007695 \n",
"1 0.003770 0.001885 0.007541 0.082946 0.005655 0.009426 0.003770 \n",
"2 0.002109 0.012655 0.006327 0.040074 0.021091 0.016873 0.010546 \n",
"3 0.006596 0.013192 0.011543 0.056066 0.028033 0.004947 0.004947 \n",
"4 0.001010 0.005051 0.009093 0.040412 0.014144 0.009093 0.007072 \n",
"5 0.004054 0.008109 0.004054 0.064872 0.008109 0.009460 0.008109 \n",
"6 0.004448 0.006989 0.010166 0.047017 0.006989 0.015249 0.006989 \n",
"7 0.007179 0.003589 0.013161 0.055037 0.011964 0.002393 0.005982 \n",
"\n",
" 224 225 226 227 228 229 230 \\\n",
"0 0.005771 0.016352 0.095228 0.000962 0.006733 0.011543 0.011543 \n",
"1 0.003770 0.016966 0.056554 0.003770 0.011311 0.009426 0.009426 \n",
"2 0.006327 0.016873 0.069602 0.004218 0.004218 0.012655 0.012655 \n",
"3 0.001649 0.016490 0.061013 0.001649 0.013192 0.018139 0.008245 \n",
"4 0.003031 0.014144 0.059607 0.002021 0.006062 0.011113 0.016165 \n",
"5 0.001351 0.017569 0.039193 0.002703 0.008109 0.008109 0.010812 \n",
"6 0.003812 0.013978 0.054006 0.004448 0.008260 0.015249 0.015249 \n",
"7 0.003589 0.015554 0.044269 0.001196 0.013161 0.008375 0.014357 \n",
"\n",
" 231 232 233 234 235 236 237 \\\n",
"0 0.013467 0.008657 0.000962 0.001924 0.000962 0.002886 0.014428 \n",
"1 0.018851 0.007541 0.001885 0.003770 0.003770 0.009426 0.005655 \n",
"2 0.021091 0.016873 0.002109 0.004218 0.006327 0.006327 0.002109 \n",
"3 0.026384 0.008245 0.006596 0.004947 0.006596 0.003298 0.003298 \n",
"4 0.022226 0.005051 0.002021 0.001010 0.005051 0.002021 0.012124 \n",
"5 0.021624 0.014866 0.001351 0.002703 0.013515 0.005406 0.005406 \n",
"6 0.014613 0.013978 0.000635 0.003177 0.006354 0.001271 0.006354 \n",
"7 0.009572 0.004786 0.001196 0.001196 0.001196 0.004786 0.007179 \n",
"\n",
" 238 239 240 241 242 243 244 \\\n",
"0 0.007695 0.012505 0.000962 0.086571 0.004809 0.018276 0.003848 \n",
"1 0.009426 0.011311 0.005655 0.056554 0.001885 0.013196 0.005655 \n",
"2 0.006327 0.008437 0.004218 0.052729 0.002109 0.012655 0.008437 \n",
"3 0.006596 0.014841 0.006596 0.080800 0.003298 0.014841 0.006596 \n",
"4 0.004041 0.009093 0.003031 0.061628 0.004041 0.016165 0.002021 \n",
"5 0.012163 0.008109 0.004054 0.068926 0.001351 0.018921 0.001351 \n",
"6 0.003177 0.012707 0.004448 0.059089 0.001271 0.011437 0.000635 \n",
"7 0.003589 0.004786 0.003589 0.045465 0.002393 0.016750 0.001196 \n",
"\n",
" 245 246 247 248 249 250 251 \\\n",
"0 0.041362 0.036552 0.000962 0.011543 0.006733 0.000962 0.015390 \n",
"1 0.022622 0.018851 0.005655 0.009426 0.003770 0.001885 0.009426 \n",
"2 0.014764 0.018982 0.008437 0.006327 0.002109 0.008437 0.006327 \n",
"3 0.028033 0.028033 0.003298 0.006596 0.001649 0.006596 0.003298 \n",
"4 0.021216 0.010103 0.006062 0.009093 0.004041 0.004041 0.009093 \n",
"5 0.029733 0.009460 0.004054 0.001351 0.004054 0.004054 0.002703 \n",
"6 0.024779 0.012707 0.000635 0.004448 0.005083 0.005083 0.006354 \n",
"7 0.019143 0.020340 0.001196 0.025125 0.001196 0.001196 0.004786 \n",
"\n",
" 252 253 254 255 256 257 258 \\\n",
"0 0.009619 0.001924 0.023086 0.004809 0.009619 0.010581 0.002886 \n",
"1 0.001885 0.003770 0.015081 0.001885 0.015081 0.016966 0.007541 \n",
"2 0.002109 0.014764 0.004218 0.002109 0.016873 0.014764 0.004218 \n",
"3 0.003298 0.004947 0.011543 0.003298 0.023086 0.013192 0.004947 \n",
"4 0.002021 0.003031 0.011113 0.004041 0.011113 0.009093 0.007072 \n",
"5 0.004054 0.001351 0.006757 0.008109 0.032436 0.008109 0.001351 \n",
"6 0.002541 0.005718 0.012707 0.003177 0.010166 0.009530 0.002541 \n",
"7 0.008375 0.001196 0.013161 0.008375 0.005982 0.005982 0.010768 \n",
"\n",
" 259 260 261 262 263 264 265 \\\n",
"0 0.001924 0.000962 0.007695 0.002886 0.007695 0.005771 0.008657 \n",
"1 0.001885 0.005655 0.003770 0.015081 0.011311 0.009426 0.005655 \n",
"2 0.004218 0.002109 0.014764 0.008437 0.010546 0.006327 0.002109 \n",
"3 0.003298 0.008245 0.019788 0.003298 0.008245 0.008245 0.001649 \n",
"4 0.001010 0.006062 0.018185 0.004041 0.005051 0.006062 0.004041 \n",
"5 0.001351 0.008109 0.002703 0.002703 0.006757 0.005406 0.006757 \n",
"6 0.005718 0.002541 0.012707 0.004448 0.014613 0.003812 0.005083 \n",
"7 0.005982 0.001196 0.032304 0.002393 0.017947 0.007179 0.001196 \n",
"\n",
" 266 267 268 269 270 271 272 \\\n",
"0 0.001924 0.003848 0.008657 0.002886 0.005771 0.001924 0.070219 \n",
"1 0.007541 0.009426 0.015081 0.003770 0.011311 0.005655 0.073520 \n",
"2 0.004218 0.023201 0.008437 0.010546 0.004218 0.004218 0.054838 \n",
"3 0.003298 0.008245 0.008245 0.004947 0.004947 0.003298 0.052768 \n",
"4 0.005051 0.002021 0.005051 0.005051 0.008082 0.001010 0.063648 \n",
"5 0.004054 0.005406 0.013515 0.004054 0.006757 0.005406 0.067575 \n",
"6 0.003812 0.004448 0.008895 0.003177 0.003812 0.001271 0.061630 \n",
"7 0.004786 0.007179 0.001196 0.010768 0.008375 0.001196 0.049054 \n",
"\n",
" 273 274 275 276 \n",
"0 0.024047 0.000962 0.002886 0.001924 \n",
"1 0.015081 0.001885 0.005655 0.003770 \n",
"2 0.012655 0.002109 0.006327 0.004218 \n",
"3 0.016490 0.003298 0.004947 0.003298 \n",
"4 0.010103 0.001010 0.005051 0.004041 \n",
"5 0.004054 0.001351 0.004054 0.001351 \n",
"6 0.002541 0.000635 0.003177 0.001271 \n",
"7 0.001196 0.001196 0.002393 0.001196 "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "e349f960-4a18-4237-b780-98a912fbfb16",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(8, 277)"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "f8a5160b-d739-40a7-80e8-f6672d1ed129",
"metadata": {},
"outputs": [],
"source": [
"# we need labels for columns and rows\n",
"\n",
"wordnames = vectorizer.get_feature_names_out() # columns\n",
"titles = ['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7', 'ch8'] # rows\n",
"\n",
"df = pd.DataFrame(text_frequencies, columns = wordnames, index = titles)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "43b51e60-ad52-41b1-97a7-c5a98403f937",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>(</th>\n",
" <th>)</th>\n",
" <th>,</th>\n",
" <th>.</th>\n",
" <th>1</th>\n",
" <th>10</th>\n",
" <th>2</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>;</th>\n",
" <th>&lt;caes</th>\n",
" <th>&lt;caes.</th>\n",
" <th>&gt;</th>\n",
" <th>Caesar</th>\n",
" <th>Caesare</th>\n",
" <th>Caesarem</th>\n",
" <th>Caesaris</th>\n",
" <th>Cum</th>\n",
" <th>Eodem</th>\n",
" <th>Galli</th>\n",
" <th>Gallia</th>\n",
" <th>Galliae</th>\n",
" <th>Galliam</th>\n",
" <th>Gallis</th>\n",
" <th>Gallorum</th>\n",
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" <th>His</th>\n",
" <th>Hoc</th>\n",
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" <th>Romanos</th>\n",
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" <th>a</th>\n",
" <th>ab</th>\n",
" <th>ac</th>\n",
" <th>ad</th>\n",
" <th>adventu</th>\n",
" <th>amplius</th>\n",
" <th>ante</th>\n",
" <th>apud</th>\n",
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" <th>armis</th>\n",
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" <th>auxilium</th>\n",
" <th>belli</th>\n",
" <th>bello</th>\n",
" <th>bellum</th>\n",
" <th>castra</th>\n",
" <th>castris</th>\n",
" <th>causa</th>\n",
" <th>celeriter</th>\n",
" <th>certior</th>\n",
" <th>circiter</th>\n",
" <th>civitates</th>\n",
" <th>civitatibus</th>\n",
" <th>civitatis</th>\n",
" <th>concilio</th>\n",
" <th>consilio</th>\n",
" <th>consilium</th>\n",
" <th>constituit</th>\n",
" <th>consuetudine</th>\n",
" <th>contendit</th>\n",
" <th>contra</th>\n",
" <th>copias</th>\n",
" <th>copiis</th>\n",
" <th>cum</th>\n",
" <th>de</th>\n",
" <th>die</th>\n",
" <th>duas</th>\n",
" <th>ea</th>\n",
" <th>eadem</th>\n",
" <th>eam</th>\n",
" <th>ei</th>\n",
" <th>eius</th>\n",
" <th>enim</th>\n",
" <th>eo</th>\n",
" <th>eorum</th>\n",
" <th>eos</th>\n",
" <th>equitatu</th>\n",
" <th>equites</th>\n",
" <th>equitum</th>\n",
" <th>erant</th>\n",
" <th>erat</th>\n",
" <th>esse</th>\n",
" <th>essent</th>\n",
" <th>esset</th>\n",
" <th>est</th>\n",
" <th>et</th>\n",
" <th>etiam</th>\n",
" <th>eum</th>\n",
" <th>ex</th>\n",
" <th>exercitu</th>\n",
" <th>exercitum</th>\n",
" <th>exercitus</th>\n",
" <th>facere</th>\n",
" <th>faciunt</th>\n",
" <th>facto</th>\n",
" <th>fere</th>\n",
" <th>fines</th>\n",
" <th>finibus</th>\n",
" <th>flumen</th>\n",
" <th>fuga</th>\n",
" <th>fugam</th>\n",
" <th>fuit</th>\n",
" <th>gal.</th>\n",
" <th>habebat</th>\n",
" <th>habere</th>\n",
" <th>hiberna</th>\n",
" <th>his</th>\n",
" <th>hoc</th>\n",
" <th>homines</th>\n",
" <th>hominum</th>\n",
" <th>hostes</th>\n",
" <th>hostibus</th>\n",
" <th>hostium</th>\n",
" <th>iam</th>\n",
" <th>ibi</th>\n",
" <th>id</th>\n",
" <th>impedimenta</th>\n",
" <th>impetum</th>\n",
" <th>in</th>\n",
" <th>inde</th>\n",
" <th>inter</th>\n",
" <th>ipse</th>\n",
" <th>ipsi</th>\n",
" <th>ita</th>\n",
" <th>itinere</th>\n",
" <th>iubet</th>\n",
" <th>legatos</th>\n",
" <th>legione</th>\n",
" <th>legionibus</th>\n",
" <th>legionis</th>\n",
" <th>loci</th>\n",
" <th>locis</th>\n",
" <th>loco</th>\n",
" <th>locum</th>\n",
" <th>longe</th>\n",
" <th>longius</th>\n",
" <th>magis</th>\n",
" <th>magna</th>\n",
" <th>magnam</th>\n",
" <th>magno</th>\n",
" <th>maxime</th>\n",
" <th>milibus</th>\n",
" <th>milites</th>\n",
" <th>militibus</th>\n",
" <th>militum</th>\n",
" <th>minus</th>\n",
" <th>mittit</th>\n",
" <th>modo</th>\n",
" <th>multitudine</th>\n",
" <th>multitudinem</th>\n",
" <th>multitudo</th>\n",
" <th>natura</th>\n",
" <th>ne</th>\n",
" <th>neque</th>\n",
" <th>nihil</th>\n",
" <th>nisi</th>\n",
" <th>nocte</th>\n",
" <th>noctu</th>\n",
" <th>non</th>\n",
" <th>nostri</th>\n",
" <th>nostrorum</th>\n",
" <th>nostros</th>\n",
" <th>numero</th>\n",
" <th>numerum</th>\n",
" <th>obsides</th>\n",
" <th>omnes</th>\n",
" <th>omni</th>\n",
" <th>omnia</th>\n",
" <th>omnibus</th>\n",
" <th>omnis</th>\n",
" <th>omnium</th>\n",
" <th>pars</th>\n",
" <th>parte</th>\n",
" <th>partem</th>\n",
" <th>partes</th>\n",
" <th>paucis</th>\n",
" <th>paulatim</th>\n",
" <th>paulo</th>\n",
" <th>per</th>\n",
" <th>periculo</th>\n",
" <th>pervenit</th>\n",
" <th>plerumque</th>\n",
" <th>populi</th>\n",
" <th>posse</th>\n",
" <th>possent</th>\n",
" <th>posset</th>\n",
" <th>post</th>\n",
" <th>poterant</th>\n",
" <th>poterat</th>\n",
" <th>potestatem</th>\n",
" <th>potuit</th>\n",
" <th>praesidio</th>\n",
" <th>primo</th>\n",
" <th>primum</th>\n",
" <th>principes</th>\n",
" <th>prius</th>\n",
" <th>pro</th>\n",
" <th>proeliis</th>\n",
" <th>proelio</th>\n",
" <th>proelium</th>\n",
" <th>propter</th>\n",
" <th>quae</th>\n",
" <th>quam</th>\n",
" <th>quantum</th>\n",
" <th>quas</th>\n",
" <th>quem</th>\n",
" <th>qui</th>\n",
" <th>quibus</th>\n",
" <th>quid</th>\n",
" <th>quidem</th>\n",
" <th>quin</th>\n",
" <th>quo</th>\n",
" <th>quod</th>\n",
" <th>quoque</th>\n",
" <th>quorum</th>\n",
" <th>quos</th>\n",
" <th>re</th>\n",
" <th>rebus</th>\n",
" <th>rei</th>\n",
" <th>reliquae</th>\n",
" <th>reliqui</th>\n",
" <th>reliquis</th>\n",
" <th>reliquos</th>\n",
" <th>rem</th>\n",
" <th>rerum</th>\n",
" <th>res</th>\n",
" <th>rursus</th>\n",
" <th>se</th>\n",
" <th>secum</th>\n",
" <th>sed</th>\n",
" <th>seque</th>\n",
" <th>si</th>\n",
" <th>sibi</th>\n",
" <th>silvas</th>\n",
" <th>sine</th>\n",
" <th>sit</th>\n",
" <th>spatio</th>\n",
" <th>sua</th>\n",
" <th>suam</th>\n",
" <th>subito</th>\n",
" <th>suis</th>\n",
" <th>summa</th>\n",
" <th>sunt</th>\n",
" <th>suos</th>\n",
" <th>superiore</th>\n",
" <th>superioribus</th>\n",
" <th>supra</th>\n",
" <th>tamen</th>\n",
" <th>tanta</th>\n",
" <th>tempore</th>\n",
" <th>tempus</th>\n",
" <th>totius</th>\n",
" <th>tum</th>\n",
" <th>ubi</th>\n",
" <th>una</th>\n",
" <th>undique</th>\n",
" <th>unum</th>\n",
" <th>usus</th>\n",
" <th>ut</th>\n",
" <th>uti</th>\n",
" <th>ventum</th>\n",
" <th>vero</th>\n",
" <th>vulneribus</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ch1</th>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.695452</td>\n",
" <td>0.307807</td>\n",
" <td>0.015390</td>\n",
" <td>0.002886</td>\n",
" <td>0.026933</td>\n",
" <td>0.015390</td>\n",
" <td>0.000962</td>\n",
" <td>0.090418</td>\n",
" <td>0.014428</td>\n",
" <td>0.276065</td>\n",
" <td>0.290493</td>\n",
" <td>0.041362</td>\n",
" <td>0.007695</td>\n",
" <td>0.016352</td>\n",
" <td>0.006733</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.014428</td>\n",
" <td>0.021162</td>\n",
" <td>0.012505</td>\n",
" <td>0.006733</td>\n",
" <td>0.007695</td>\n",
" <td>0.004809</td>\n",
" <td>0.003848</td>\n",
" <td>0.008657</td>\n",
" <td>0.002886</td>\n",
" <td>0.002886</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.003848</td>\n",
" <td>0.014428</td>\n",
" <td>0.028857</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.055790</td>\n",
" <td>0.042324</td>\n",
" <td>0.026933</td>\n",
" <td>0.102923</td>\n",
" <td>0.003848</td>\n",
" <td>0.005771</td>\n",
" <td>0.010581</td>\n",
" <td>0.011543</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.045209</td>\n",
" <td>0.033666</td>\n",
" <td>0.007695</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.013467</td>\n",
" <td>0.015390</td>\n",
" <td>0.023086</td>\n",
" <td>0.015390</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.010581</td>\n",
" <td>0.005771</td>\n",
" <td>0.000962</td>\n",
" <td>0.004809</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.001924</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.012505</td>\n",
" <td>0.004809</td>\n",
" <td>0.076952</td>\n",
" <td>0.034628</td>\n",
" <td>0.014428</td>\n",
" <td>0.003848</td>\n",
" <td>0.022124</td>\n",
" <td>0.001924</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.031743</td>\n",
" <td>0.002886</td>\n",
" <td>0.038476</td>\n",
" <td>0.019238</td>\n",
" <td>0.024047</td>\n",
" <td>0.005771</td>\n",
" <td>0.004809</td>\n",
" <td>0.002886</td>\n",
" <td>0.008657</td>\n",
" <td>0.021162</td>\n",
" <td>0.069257</td>\n",
" <td>0.011543</td>\n",
" <td>0.020200</td>\n",
" <td>0.042324</td>\n",
" <td>0.185646</td>\n",
" <td>0.016352</td>\n",
" <td>0.027895</td>\n",
" <td>0.051943</td>\n",
" <td>0.003848</td>\n",
" <td>0.012505</td>\n",
" <td>0.005771</td>\n",
" <td>0.012505</td>\n",
" <td>0.001924</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.018276</td>\n",
" <td>0.014428</td>\n",
" <td>0.011543</td>\n",
" <td>0.005771</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.290493</td>\n",
" <td>0.006733</td>\n",
" <td>0.009619</td>\n",
" <td>0.000962</td>\n",
" <td>0.020200</td>\n",
" <td>0.005771</td>\n",
" <td>0.006733</td>\n",
" <td>0.009619</td>\n",
" <td>0.010581</td>\n",
" <td>0.004809</td>\n",
" <td>0.013467</td>\n",
" <td>0.005771</td>\n",
" <td>0.003848</td>\n",
" <td>0.019238</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.170256</td>\n",
" <td>0.001924</td>\n",
" <td>0.016352</td>\n",
" <td>0.013467</td>\n",
" <td>0.006733</td>\n",
" <td>0.011543</td>\n",
" <td>0.010581</td>\n",
" <td>0.002886</td>\n",
" <td>0.009619</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.004809</td>\n",
" <td>0.008657</td>\n",
" <td>0.010581</td>\n",
" <td>0.003848</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.006733</td>\n",
" <td>0.005771</td>\n",
" <td>0.006733</td>\n",
" <td>0.003848</td>\n",
" <td>0.004809</td>\n",
" <td>0.004809</td>\n",
" <td>0.001924</td>\n",
" <td>0.007695</td>\n",
" <td>0.013467</td>\n",
" <td>0.002886</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.004809</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.029819</td>\n",
" <td>0.048095</td>\n",
" <td>0.004809</td>\n",
" <td>0.003848</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.084647</td>\n",
" <td>0.005771</td>\n",
" <td>0.003848</td>\n",
" <td>0.011543</td>\n",
" <td>0.006733</td>\n",
" <td>0.006733</td>\n",
" <td>0.012505</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.006733</td>\n",
" <td>0.012505</td>\n",
" <td>0.001924</td>\n",
" <td>0.010581</td>\n",
" <td>0.001924</td>\n",
" <td>0.005771</td>\n",
" <td>0.013467</td>\n",
" <td>0.003848</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.000962</td>\n",
" <td>0.031743</td>\n",
" <td>0.006733</td>\n",
" <td>0.003848</td>\n",
" <td>0.000962</td>\n",
" <td>0.024047</td>\n",
" <td>0.014428</td>\n",
" <td>0.011543</td>\n",
" <td>0.012505</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.002886</td>\n",
" <td>0.000962</td>\n",
" <td>0.005771</td>\n",
" <td>0.000962</td>\n",
" <td>0.003848</td>\n",
" <td>0.013467</td>\n",
" <td>0.003848</td>\n",
" <td>0.014428</td>\n",
" <td>0.012505</td>\n",
" <td>0.011543</td>\n",
" <td>0.026933</td>\n",
" <td>0.048095</td>\n",
" <td>0.000962</td>\n",
" <td>0.007695</td>\n",
" <td>0.007695</td>\n",
" <td>0.061561</td>\n",
" <td>0.008657</td>\n",
" <td>0.013467</td>\n",
" <td>0.007695</td>\n",
" <td>0.005771</td>\n",
" <td>0.016352</td>\n",
" <td>0.095228</td>\n",
" <td>0.000962</td>\n",
" <td>0.006733</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.013467</td>\n",
" <td>0.008657</td>\n",
" <td>0.000962</td>\n",
" <td>0.001924</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.014428</td>\n",
" <td>0.007695</td>\n",
" <td>0.012505</td>\n",
" <td>0.000962</td>\n",
" <td>0.086571</td>\n",
" <td>0.004809</td>\n",
" <td>0.018276</td>\n",
" <td>0.003848</td>\n",
" <td>0.041362</td>\n",
" <td>0.036552</td>\n",
" <td>0.000962</td>\n",
" <td>0.011543</td>\n",
" <td>0.006733</td>\n",
" <td>0.000962</td>\n",
" <td>0.015390</td>\n",
" <td>0.009619</td>\n",
" <td>0.001924</td>\n",
" <td>0.023086</td>\n",
" <td>0.004809</td>\n",
" <td>0.009619</td>\n",
" <td>0.010581</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" <td>0.000962</td>\n",
" <td>0.007695</td>\n",
" <td>0.002886</td>\n",
" <td>0.007695</td>\n",
" <td>0.005771</td>\n",
" <td>0.008657</td>\n",
" <td>0.001924</td>\n",
" <td>0.003848</td>\n",
" <td>0.008657</td>\n",
" <td>0.002886</td>\n",
" <td>0.005771</td>\n",
" <td>0.001924</td>\n",
" <td>0.070219</td>\n",
" <td>0.024047</td>\n",
" <td>0.000962</td>\n",
" <td>0.002886</td>\n",
" <td>0.001924</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch2</th>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.667338</td>\n",
" <td>0.286541</td>\n",
" <td>0.022622</td>\n",
" <td>0.001885</td>\n",
" <td>0.030162</td>\n",
" <td>0.018851</td>\n",
" <td>0.003770</td>\n",
" <td>0.094257</td>\n",
" <td>0.022622</td>\n",
" <td>0.290311</td>\n",
" <td>0.312933</td>\n",
" <td>0.047128</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.005655</td>\n",
" <td>0.013196</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.005655</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.018851</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.033932</td>\n",
" <td>0.084831</td>\n",
" <td>0.041473</td>\n",
" <td>0.135730</td>\n",
" <td>0.007541</td>\n",
" <td>0.005655</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.016966</td>\n",
" <td>0.062209</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.011311</td>\n",
" <td>0.030162</td>\n",
" <td>0.030162</td>\n",
" <td>0.016966</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.011311</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.007541</td>\n",
" <td>0.015081</td>\n",
" <td>0.096142</td>\n",
" <td>0.024507</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.001885</td>\n",
" <td>0.022622</td>\n",
" <td>0.037703</td>\n",
" <td>0.028277</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.026392</td>\n",
" <td>0.018851</td>\n",
" <td>0.052784</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.037703</td>\n",
" <td>0.162122</td>\n",
" <td>0.020736</td>\n",
" <td>0.018851</td>\n",
" <td>0.081061</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.016966</td>\n",
" <td>0.007541</td>\n",
" <td>0.024507</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.312933</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.026392</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.011311</td>\n",
" <td>0.024507</td>\n",
" <td>0.013196</td>\n",
" <td>0.018851</td>\n",
" <td>0.009426</td>\n",
" <td>0.007541</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.214905</td>\n",
" <td>0.001885</td>\n",
" <td>0.020736</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.013196</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.022622</td>\n",
" <td>0.026392</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.013196</td>\n",
" <td>0.007541</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.013196</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.018851</td>\n",
" <td>0.041473</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.005655</td>\n",
" <td>0.001885</td>\n",
" <td>0.054669</td>\n",
" <td>0.026392</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.007541</td>\n",
" <td>0.024507</td>\n",
" <td>0.007541</td>\n",
" <td>0.016966</td>\n",
" <td>0.024507</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.018851</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.011311</td>\n",
" <td>0.007541</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.007541</td>\n",
" <td>0.018851</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.013196</td>\n",
" <td>0.003770</td>\n",
" <td>0.013196</td>\n",
" <td>0.037703</td>\n",
" <td>0.028277</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.007541</td>\n",
" <td>0.082946</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.016966</td>\n",
" <td>0.056554</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.009426</td>\n",
" <td>0.018851</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.003770</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.056554</td>\n",
" <td>0.001885</td>\n",
" <td>0.013196</td>\n",
" <td>0.005655</td>\n",
" <td>0.022622</td>\n",
" <td>0.018851</td>\n",
" <td>0.005655</td>\n",
" <td>0.009426</td>\n",
" <td>0.003770</td>\n",
" <td>0.001885</td>\n",
" <td>0.009426</td>\n",
" <td>0.001885</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.015081</td>\n",
" <td>0.016966</td>\n",
" <td>0.007541</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" <td>0.015081</td>\n",
" <td>0.011311</td>\n",
" <td>0.009426</td>\n",
" <td>0.005655</td>\n",
" <td>0.007541</td>\n",
" <td>0.009426</td>\n",
" <td>0.015081</td>\n",
" <td>0.003770</td>\n",
" <td>0.011311</td>\n",
" <td>0.005655</td>\n",
" <td>0.073520</td>\n",
" <td>0.015081</td>\n",
" <td>0.001885</td>\n",
" <td>0.005655</td>\n",
" <td>0.003770</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch3</th>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.706564</td>\n",
" <td>0.278407</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.021091</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.052729</td>\n",
" <td>0.021091</td>\n",
" <td>0.291062</td>\n",
" <td>0.312154</td>\n",
" <td>0.023201</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.027419</td>\n",
" <td>0.040074</td>\n",
" <td>0.059056</td>\n",
" <td>0.103348</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.002109</td>\n",
" <td>0.059056</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.027419</td>\n",
" <td>0.021091</td>\n",
" <td>0.018982</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.014764</td>\n",
" <td>0.086475</td>\n",
" <td>0.023201</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.016873</td>\n",
" <td>0.008437</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.018982</td>\n",
" <td>0.006327</td>\n",
" <td>0.031637</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.029528</td>\n",
" <td>0.021091</td>\n",
" <td>0.008437</td>\n",
" <td>0.012655</td>\n",
" <td>0.040074</td>\n",
" <td>0.156077</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.075929</td>\n",
" <td>0.004218</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.312154</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.031637</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.016873</td>\n",
" <td>0.010546</td>\n",
" <td>0.021091</td>\n",
" <td>0.021091</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.187714</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.012655</td>\n",
" <td>0.012655</td>\n",
" <td>0.004218</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.016873</td>\n",
" <td>0.050620</td>\n",
" <td>0.012655</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.048510</td>\n",
" <td>0.010546</td>\n",
" <td>0.010546</td>\n",
" <td>0.012655</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.025310</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.025310</td>\n",
" <td>0.010546</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.016873</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.018982</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.014764</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.014764</td>\n",
" <td>0.002109</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.023201</td>\n",
" <td>0.025310</td>\n",
" <td>0.021091</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.006327</td>\n",
" <td>0.040074</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.016873</td>\n",
" <td>0.069602</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.012655</td>\n",
" <td>0.012655</td>\n",
" <td>0.021091</td>\n",
" <td>0.016873</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.006327</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.008437</td>\n",
" <td>0.004218</td>\n",
" <td>0.052729</td>\n",
" <td>0.002109</td>\n",
" <td>0.012655</td>\n",
" <td>0.008437</td>\n",
" <td>0.014764</td>\n",
" <td>0.018982</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.008437</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.016873</td>\n",
" <td>0.014764</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.002109</td>\n",
" <td>0.014764</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.006327</td>\n",
" <td>0.002109</td>\n",
" <td>0.004218</td>\n",
" <td>0.023201</td>\n",
" <td>0.008437</td>\n",
" <td>0.010546</td>\n",
" <td>0.004218</td>\n",
" <td>0.004218</td>\n",
" <td>0.054838</td>\n",
" <td>0.012655</td>\n",
" <td>0.002109</td>\n",
" <td>0.006327</td>\n",
" <td>0.004218</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch4</th>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.662893</td>\n",
" <td>0.278679</td>\n",
" <td>0.016490</td>\n",
" <td>0.003298</td>\n",
" <td>0.036278</td>\n",
" <td>0.018139</td>\n",
" <td>0.006596</td>\n",
" <td>0.067608</td>\n",
" <td>0.013192</td>\n",
" <td>0.306712</td>\n",
" <td>0.319903</td>\n",
" <td>0.057715</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.018139</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.039576</td>\n",
" <td>0.041225</td>\n",
" <td>0.029682</td>\n",
" <td>0.126972</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.084098</td>\n",
" <td>0.019788</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.014841</td>\n",
" <td>0.019788</td>\n",
" <td>0.016490</td>\n",
" <td>0.023086</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.080800</td>\n",
" <td>0.026384</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.019788</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.016490</td>\n",
" <td>0.023086</td>\n",
" <td>0.026384</td>\n",
" <td>0.008245</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.019788</td>\n",
" <td>0.024735</td>\n",
" <td>0.037927</td>\n",
" <td>0.009894</td>\n",
" <td>0.006596</td>\n",
" <td>0.037927</td>\n",
" <td>0.202825</td>\n",
" <td>0.009894</td>\n",
" <td>0.016490</td>\n",
" <td>0.092343</td>\n",
" <td>0.001649</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.009894</td>\n",
" <td>0.008245</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.319903</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.026384</td>\n",
" <td>0.011543</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.019788</td>\n",
" <td>0.013192</td>\n",
" <td>0.011543</td>\n",
" <td>0.006596</td>\n",
" <td>0.009894</td>\n",
" <td>0.016490</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.194580</td>\n",
" <td>0.006596</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.016490</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.001649</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.001649</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.056066</td>\n",
" <td>0.008245</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.044523</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.008245</td>\n",
" <td>0.018139</td>\n",
" <td>0.008245</td>\n",
" <td>0.011543</td>\n",
" <td>0.031331</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.011543</td>\n",
" <td>0.011543</td>\n",
" <td>0.019788</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.009894</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.009894</td>\n",
" <td>0.008245</td>\n",
" <td>0.009894</td>\n",
" <td>0.004947</td>\n",
" <td>0.013192</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.019788</td>\n",
" <td>0.006596</td>\n",
" <td>0.018139</td>\n",
" <td>0.052768</td>\n",
" <td>0.028033</td>\n",
" <td>0.006596</td>\n",
" <td>0.013192</td>\n",
" <td>0.011543</td>\n",
" <td>0.056066</td>\n",
" <td>0.028033</td>\n",
" <td>0.004947</td>\n",
" <td>0.004947</td>\n",
" <td>0.001649</td>\n",
" <td>0.016490</td>\n",
" <td>0.061013</td>\n",
" <td>0.001649</td>\n",
" <td>0.013192</td>\n",
" <td>0.018139</td>\n",
" <td>0.008245</td>\n",
" <td>0.026384</td>\n",
" <td>0.008245</td>\n",
" <td>0.006596</td>\n",
" <td>0.004947</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.014841</td>\n",
" <td>0.006596</td>\n",
" <td>0.080800</td>\n",
" <td>0.003298</td>\n",
" <td>0.014841</td>\n",
" <td>0.006596</td>\n",
" <td>0.028033</td>\n",
" <td>0.028033</td>\n",
" <td>0.003298</td>\n",
" <td>0.006596</td>\n",
" <td>0.001649</td>\n",
" <td>0.006596</td>\n",
" <td>0.003298</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.011543</td>\n",
" <td>0.003298</td>\n",
" <td>0.023086</td>\n",
" <td>0.013192</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.019788</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.001649</td>\n",
" <td>0.003298</td>\n",
" <td>0.008245</td>\n",
" <td>0.008245</td>\n",
" <td>0.004947</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" <td>0.052768</td>\n",
" <td>0.016490</td>\n",
" <td>0.003298</td>\n",
" <td>0.004947</td>\n",
" <td>0.003298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch5</th>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.655680</td>\n",
" <td>0.314201</td>\n",
" <td>0.008082</td>\n",
" <td>0.002021</td>\n",
" <td>0.015154</td>\n",
" <td>0.010103</td>\n",
" <td>0.002021</td>\n",
" <td>0.093957</td>\n",
" <td>0.022226</td>\n",
" <td>0.313191</td>\n",
" <td>0.335417</td>\n",
" <td>0.032329</td>\n",
" <td>0.005051</td>\n",
" <td>0.018185</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.013134</td>\n",
" <td>0.013134</td>\n",
" <td>0.007072</td>\n",
" <td>0.002021</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.007072</td>\n",
" <td>0.005051</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.009093</td>\n",
" <td>0.030309</td>\n",
" <td>0.058597</td>\n",
" <td>0.025257</td>\n",
" <td>0.135379</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.008082</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.082844</td>\n",
" <td>0.016165</td>\n",
" <td>0.005051</td>\n",
" <td>0.001010</td>\n",
" <td>0.009093</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.018185</td>\n",
" <td>0.012124</td>\n",
" <td>0.019196</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.020206</td>\n",
" <td>0.005051</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.008082</td>\n",
" <td>0.096988</td>\n",
" <td>0.037381</td>\n",
" <td>0.014144</td>\n",
" <td>0.001010</td>\n",
" <td>0.013134</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.005051</td>\n",
" <td>0.025257</td>\n",
" <td>0.001010</td>\n",
" <td>0.024247</td>\n",
" <td>0.012124</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.010103</td>\n",
" <td>0.005051</td>\n",
" <td>0.011113</td>\n",
" <td>0.010103</td>\n",
" <td>0.040412</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.036371</td>\n",
" <td>0.136390</td>\n",
" <td>0.007072</td>\n",
" <td>0.020206</td>\n",
" <td>0.079813</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.009093</td>\n",
" <td>0.011113</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.335417</td>\n",
" <td>0.002021</td>\n",
" <td>0.004041</td>\n",
" <td>0.012124</td>\n",
" <td>0.013134</td>\n",
" <td>0.012124</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.017175</td>\n",
" <td>0.005051</td>\n",
" <td>0.015154</td>\n",
" <td>0.008082</td>\n",
" <td>0.006062</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.177812</td>\n",
" <td>0.002021</td>\n",
" <td>0.013134</td>\n",
" <td>0.010103</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.015154</td>\n",
" <td>0.010103</td>\n",
" <td>0.006062</td>\n",
" <td>0.012124</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.004041</td>\n",
" <td>0.020206</td>\n",
" <td>0.014144</td>\n",
" <td>0.006062</td>\n",
" <td>0.006062</td>\n",
" <td>0.001010</td>\n",
" <td>0.010103</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.007072</td>\n",
" <td>0.004041</td>\n",
" <td>0.012124</td>\n",
" <td>0.005051</td>\n",
" <td>0.021216</td>\n",
" <td>0.007072</td>\n",
" <td>0.011113</td>\n",
" <td>0.003031</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.016165</td>\n",
" <td>0.035360</td>\n",
" <td>0.012124</td>\n",
" <td>0.003031</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" <td>0.041422</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.007072</td>\n",
" <td>0.006062</td>\n",
" <td>0.003031</td>\n",
" <td>0.005051</td>\n",
" <td>0.032329</td>\n",
" <td>0.007072</td>\n",
" <td>0.006062</td>\n",
" <td>0.029298</td>\n",
" <td>0.006062</td>\n",
" <td>0.007072</td>\n",
" <td>0.009093</td>\n",
" <td>0.013134</td>\n",
" <td>0.014144</td>\n",
" <td>0.003031</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.004041</td>\n",
" <td>0.013134</td>\n",
" <td>0.011113</td>\n",
" <td>0.004041</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.012124</td>\n",
" <td>0.006062</td>\n",
" <td>0.011113</td>\n",
" <td>0.005051</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.001010</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.003031</td>\n",
" <td>0.003031</td>\n",
" <td>0.001010</td>\n",
" <td>0.019196</td>\n",
" <td>0.001010</td>\n",
" <td>0.008082</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.027278</td>\n",
" <td>0.023237</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.009093</td>\n",
" <td>0.040412</td>\n",
" <td>0.014144</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.003031</td>\n",
" <td>0.014144</td>\n",
" <td>0.059607</td>\n",
" <td>0.002021</td>\n",
" <td>0.006062</td>\n",
" <td>0.011113</td>\n",
" <td>0.016165</td>\n",
" <td>0.022226</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.012124</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.003031</td>\n",
" <td>0.061628</td>\n",
" <td>0.004041</td>\n",
" <td>0.016165</td>\n",
" <td>0.002021</td>\n",
" <td>0.021216</td>\n",
" <td>0.010103</td>\n",
" <td>0.006062</td>\n",
" <td>0.009093</td>\n",
" <td>0.004041</td>\n",
" <td>0.004041</td>\n",
" <td>0.009093</td>\n",
" <td>0.002021</td>\n",
" <td>0.003031</td>\n",
" <td>0.011113</td>\n",
" <td>0.004041</td>\n",
" <td>0.011113</td>\n",
" <td>0.009093</td>\n",
" <td>0.007072</td>\n",
" <td>0.001010</td>\n",
" <td>0.006062</td>\n",
" <td>0.018185</td>\n",
" <td>0.004041</td>\n",
" <td>0.005051</td>\n",
" <td>0.006062</td>\n",
" <td>0.004041</td>\n",
" <td>0.005051</td>\n",
" <td>0.002021</td>\n",
" <td>0.005051</td>\n",
" <td>0.005051</td>\n",
" <td>0.008082</td>\n",
" <td>0.001010</td>\n",
" <td>0.063648</td>\n",
" <td>0.010103</td>\n",
" <td>0.001010</td>\n",
" <td>0.005051</td>\n",
" <td>0.004041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch6</th>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.654123</td>\n",
" <td>0.328413</td>\n",
" <td>0.016218</td>\n",
" <td>0.004054</td>\n",
" <td>0.043248</td>\n",
" <td>0.017569</td>\n",
" <td>0.001351</td>\n",
" <td>0.070278</td>\n",
" <td>0.013515</td>\n",
" <td>0.316250</td>\n",
" <td>0.329765</td>\n",
" <td>0.020272</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.006757</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.012163</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.012163</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.018921</td>\n",
" <td>0.051357</td>\n",
" <td>0.029733</td>\n",
" <td>0.108120</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.009460</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.087847</td>\n",
" <td>0.054060</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.013515</td>\n",
" <td>0.006757</td>\n",
" <td>0.017569</td>\n",
" <td>0.010812</td>\n",
" <td>0.021624</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.009460</td>\n",
" <td>0.002703</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.079738</td>\n",
" <td>0.037842</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.008109</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.024327</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.028381</td>\n",
" <td>0.013515</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.009460</td>\n",
" <td>0.012163</td>\n",
" <td>0.012163</td>\n",
" <td>0.027030</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.051357</td>\n",
" <td>0.120283</td>\n",
" <td>0.017569</td>\n",
" <td>0.013515</td>\n",
" <td>0.068926</td>\n",
" <td>0.008109</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.010812</td>\n",
" <td>0.014866</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.329765</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.020272</td>\n",
" <td>0.014866</td>\n",
" <td>0.006757</td>\n",
" <td>0.009460</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.006757</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.201373</td>\n",
" <td>0.001351</td>\n",
" <td>0.016218</td>\n",
" <td>0.009460</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.018921</td>\n",
" <td>0.018921</td>\n",
" <td>0.002703</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.010812</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.010812</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.031084</td>\n",
" <td>0.039193</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.054060</td>\n",
" <td>0.005406</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.024327</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.025678</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.020272</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.009460</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.021624</td>\n",
" <td>0.001351</td>\n",
" <td>0.005406</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.001351</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.002703</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.039193</td>\n",
" <td>0.025678</td>\n",
" <td>0.004054</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.064872</td>\n",
" <td>0.008109</td>\n",
" <td>0.009460</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.017569</td>\n",
" <td>0.039193</td>\n",
" <td>0.002703</td>\n",
" <td>0.008109</td>\n",
" <td>0.008109</td>\n",
" <td>0.010812</td>\n",
" <td>0.021624</td>\n",
" <td>0.014866</td>\n",
" <td>0.001351</td>\n",
" <td>0.002703</td>\n",
" <td>0.013515</td>\n",
" <td>0.005406</td>\n",
" <td>0.005406</td>\n",
" <td>0.012163</td>\n",
" <td>0.008109</td>\n",
" <td>0.004054</td>\n",
" <td>0.068926</td>\n",
" <td>0.001351</td>\n",
" <td>0.018921</td>\n",
" <td>0.001351</td>\n",
" <td>0.029733</td>\n",
" <td>0.009460</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.004054</td>\n",
" <td>0.002703</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.006757</td>\n",
" <td>0.008109</td>\n",
" <td>0.032436</td>\n",
" <td>0.008109</td>\n",
" <td>0.001351</td>\n",
" <td>0.001351</td>\n",
" <td>0.008109</td>\n",
" <td>0.002703</td>\n",
" <td>0.002703</td>\n",
" <td>0.006757</td>\n",
" <td>0.005406</td>\n",
" <td>0.006757</td>\n",
" <td>0.004054</td>\n",
" <td>0.005406</td>\n",
" <td>0.013515</td>\n",
" <td>0.004054</td>\n",
" <td>0.006757</td>\n",
" <td>0.005406</td>\n",
" <td>0.067575</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" <td>0.004054</td>\n",
" <td>0.001351</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch7</th>\n",
" <td>0.001271</td>\n",
" <td>0.001271</td>\n",
" <td>0.677933</td>\n",
" <td>0.321494</td>\n",
" <td>0.009530</td>\n",
" <td>0.001906</td>\n",
" <td>0.013978</td>\n",
" <td>0.005718</td>\n",
" <td>0.000635</td>\n",
" <td>0.090857</td>\n",
" <td>0.022238</td>\n",
" <td>0.310058</td>\n",
" <td>0.332295</td>\n",
" <td>0.032404</td>\n",
" <td>0.002541</td>\n",
" <td>0.010166</td>\n",
" <td>0.006354</td>\n",
" <td>0.008260</td>\n",
" <td>0.001906</td>\n",
" <td>0.010166</td>\n",
" <td>0.004448</td>\n",
" <td>0.010166</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.000635</td>\n",
" <td>0.001906</td>\n",
" <td>0.015884</td>\n",
" <td>0.003177</td>\n",
" <td>0.000635</td>\n",
" <td>0.005718</td>\n",
" <td>0.004448</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.000635</td>\n",
" <td>0.004448</td>\n",
" <td>0.003812</td>\n",
" <td>0.008260</td>\n",
" <td>0.011437</td>\n",
" <td>0.003812</td>\n",
" <td>0.008260</td>\n",
" <td>0.002541</td>\n",
" <td>0.019061</td>\n",
" <td>0.070525</td>\n",
" <td>0.022238</td>\n",
" <td>0.111824</td>\n",
" <td>0.005718</td>\n",
" <td>0.001271</td>\n",
" <td>0.013343</td>\n",
" <td>0.004448</td>\n",
" <td>0.009530</td>\n",
" <td>0.003177</td>\n",
" <td>0.073702</td>\n",
" <td>0.019061</td>\n",
" <td>0.003177</td>\n",
" <td>0.003177</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.012072</td>\n",
" <td>0.019061</td>\n",
" <td>0.028591</td>\n",
" <td>0.019061</td>\n",
" <td>0.010166</td>\n",
" <td>0.000635</td>\n",
" <td>0.006354</td>\n",
" <td>0.005083</td>\n",
" <td>0.005718</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.005083</td>\n",
" <td>0.006989</td>\n",
" <td>0.001271</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.010801</td>\n",
" <td>0.008260</td>\n",
" <td>0.057183</td>\n",
" <td>0.033674</td>\n",
" <td>0.013978</td>\n",
" <td>0.003177</td>\n",
" <td>0.008260</td>\n",
" <td>0.004448</td>\n",
" <td>0.004448</td>\n",
" <td>0.005718</td>\n",
" <td>0.013343</td>\n",
" <td>0.002541</td>\n",
" <td>0.020332</td>\n",
" <td>0.015884</td>\n",
" <td>0.010166</td>\n",
" <td>0.010166</td>\n",
" <td>0.008260</td>\n",
" <td>0.007624</td>\n",
" <td>0.010801</td>\n",
" <td>0.014613</td>\n",
" <td>0.021602</td>\n",
" <td>0.001906</td>\n",
" <td>0.008895</td>\n",
" <td>0.020332</td>\n",
" <td>0.134062</td>\n",
" <td>0.006989</td>\n",
" <td>0.006354</td>\n",
" <td>0.077514</td>\n",
" <td>0.005083</td>\n",
" <td>0.010166</td>\n",
" <td>0.003812</td>\n",
" <td>0.006989</td>\n",
" <td>0.001271</td>\n",
" <td>0.001906</td>\n",
" <td>0.005083</td>\n",
" <td>0.004448</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.005083</td>\n",
" <td>0.332295</td>\n",
" <td>0.001906</td>\n",
" <td>0.005083</td>\n",
" <td>0.000635</td>\n",
" <td>0.013978</td>\n",
" <td>0.008260</td>\n",
" <td>0.001271</td>\n",
" <td>0.003812</td>\n",
" <td>0.012707</td>\n",
" <td>0.012072</td>\n",
" <td>0.017155</td>\n",
" <td>0.015249</td>\n",
" <td>0.005083</td>\n",
" <td>0.011437</td>\n",
" <td>0.001906</td>\n",
" <td>0.003177</td>\n",
" <td>0.147404</td>\n",
" <td>0.001906</td>\n",
" <td>0.012707</td>\n",
" <td>0.006989</td>\n",
" <td>0.007624</td>\n",
" <td>0.001906</td>\n",
" <td>0.004448</td>\n",
" <td>0.013343</td>\n",
" <td>0.002541</td>\n",
" <td>0.000635</td>\n",
" <td>0.007624</td>\n",
" <td>0.003177</td>\n",
" <td>0.007624</td>\n",
" <td>0.010166</td>\n",
" <td>0.020332</td>\n",
" <td>0.007624</td>\n",
" <td>0.002541</td>\n",
" <td>0.006989</td>\n",
" <td>0.002541</td>\n",
" <td>0.008260</td>\n",
" <td>0.000635</td>\n",
" <td>0.006989</td>\n",
" <td>0.003812</td>\n",
" <td>0.003177</td>\n",
" <td>0.011437</td>\n",
" <td>0.005083</td>\n",
" <td>0.010166</td>\n",
" <td>0.005083</td>\n",
" <td>0.007624</td>\n",
" <td>0.003812</td>\n",
" <td>0.005083</td>\n",
" <td>0.001271</td>\n",
" <td>0.002541</td>\n",
" <td>0.003177</td>\n",
" <td>0.035580</td>\n",
" <td>0.024144</td>\n",
" <td>0.003812</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.003177</td>\n",
" <td>0.045746</td>\n",
" <td>0.004448</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.008895</td>\n",
" <td>0.006354</td>\n",
" <td>0.005083</td>\n",
" <td>0.023508</td>\n",
" <td>0.010166</td>\n",
" <td>0.005083</td>\n",
" <td>0.026050</td>\n",
" <td>0.003812</td>\n",
" <td>0.006354</td>\n",
" <td>0.006989</td>\n",
" <td>0.013978</td>\n",
" <td>0.009530</td>\n",
" <td>0.005083</td>\n",
" <td>0.001906</td>\n",
" <td>0.001271</td>\n",
" <td>0.008260</td>\n",
" <td>0.013343</td>\n",
" <td>0.004448</td>\n",
" <td>0.006354</td>\n",
" <td>0.001906</td>\n",
" <td>0.001906</td>\n",
" <td>0.010166</td>\n",
" <td>0.009530</td>\n",
" <td>0.007624</td>\n",
" <td>0.006989</td>\n",
" <td>0.000635</td>\n",
" <td>0.003812</td>\n",
" <td>0.001906</td>\n",
" <td>0.000635</td>\n",
" <td>0.007624</td>\n",
" <td>0.005083</td>\n",
" <td>0.002541</td>\n",
" <td>0.003177</td>\n",
" <td>0.004448</td>\n",
" <td>0.012072</td>\n",
" <td>0.001271</td>\n",
" <td>0.006989</td>\n",
" <td>0.003177</td>\n",
" <td>0.005083</td>\n",
" <td>0.038122</td>\n",
" <td>0.023508</td>\n",
" <td>0.004448</td>\n",
" <td>0.006989</td>\n",
" <td>0.010166</td>\n",
" <td>0.047017</td>\n",
" <td>0.006989</td>\n",
" <td>0.015249</td>\n",
" <td>0.006989</td>\n",
" <td>0.003812</td>\n",
" <td>0.013978</td>\n",
" <td>0.054006</td>\n",
" <td>0.004448</td>\n",
" <td>0.008260</td>\n",
" <td>0.015249</td>\n",
" <td>0.015249</td>\n",
" <td>0.014613</td>\n",
" <td>0.013978</td>\n",
" <td>0.000635</td>\n",
" <td>0.003177</td>\n",
" <td>0.006354</td>\n",
" <td>0.001271</td>\n",
" <td>0.006354</td>\n",
" <td>0.003177</td>\n",
" <td>0.012707</td>\n",
" <td>0.004448</td>\n",
" <td>0.059089</td>\n",
" <td>0.001271</td>\n",
" <td>0.011437</td>\n",
" <td>0.000635</td>\n",
" <td>0.024779</td>\n",
" <td>0.012707</td>\n",
" <td>0.000635</td>\n",
" <td>0.004448</td>\n",
" <td>0.005083</td>\n",
" <td>0.005083</td>\n",
" <td>0.006354</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.012707</td>\n",
" <td>0.003177</td>\n",
" <td>0.010166</td>\n",
" <td>0.009530</td>\n",
" <td>0.002541</td>\n",
" <td>0.005718</td>\n",
" <td>0.002541</td>\n",
" <td>0.012707</td>\n",
" <td>0.004448</td>\n",
" <td>0.014613</td>\n",
" <td>0.003812</td>\n",
" <td>0.005083</td>\n",
" <td>0.003812</td>\n",
" <td>0.004448</td>\n",
" <td>0.008895</td>\n",
" <td>0.003177</td>\n",
" <td>0.003812</td>\n",
" <td>0.001271</td>\n",
" <td>0.061630</td>\n",
" <td>0.002541</td>\n",
" <td>0.000635</td>\n",
" <td>0.003177</td>\n",
" <td>0.001271</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch8</th>\n",
" <td>0.010768</td>\n",
" <td>0.010768</td>\n",
" <td>0.728637</td>\n",
" <td>0.302701</td>\n",
" <td>0.032304</td>\n",
" <td>0.001196</td>\n",
" <td>0.051447</td>\n",
" <td>0.025125</td>\n",
" <td>0.002393</td>\n",
" <td>0.052644</td>\n",
" <td>0.008375</td>\n",
" <td>0.278772</td>\n",
" <td>0.287147</td>\n",
" <td>0.040679</td>\n",
" <td>0.005982</td>\n",
" <td>0.011964</td>\n",
" <td>0.021536</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.001196</td>\n",
" <td>0.008375</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.001196</td>\n",
" <td>0.007179</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.007179</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.008375</td>\n",
" <td>0.008375</td>\n",
" <td>0.004786</td>\n",
" <td>0.008375</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.022733</td>\n",
" <td>0.033501</td>\n",
" <td>0.022733</td>\n",
" <td>0.096912</td>\n",
" <td>0.007179</td>\n",
" <td>0.009572</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.046661</td>\n",
" <td>0.035893</td>\n",
" <td>0.016750</td>\n",
" <td>0.004786</td>\n",
" <td>0.013161</td>\n",
" <td>0.002393</td>\n",
" <td>0.011964</td>\n",
" <td>0.026322</td>\n",
" <td>0.014357</td>\n",
" <td>0.007179</td>\n",
" <td>0.010768</td>\n",
" <td>0.003589</td>\n",
" <td>0.001196</td>\n",
" <td>0.021536</td>\n",
" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.008375</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.004786</td>\n",
" <td>0.004786</td>\n",
" <td>0.016750</td>\n",
" <td>0.008375</td>\n",
" <td>0.009572</td>\n",
" <td>0.139984</td>\n",
" <td>0.010768</td>\n",
" <td>0.003589</td>\n",
" <td>0.007179</td>\n",
" <td>0.010768</td>\n",
" <td>0.002393</td>\n",
" <td>0.004786</td>\n",
" <td>0.005982</td>\n",
" <td>0.015554</td>\n",
" <td>0.022733</td>\n",
" <td>0.028715</td>\n",
" <td>0.010768</td>\n",
" <td>0.007179</td>\n",
" <td>0.004786</td>\n",
" <td>0.013161</td>\n",
" <td>0.009572</td>\n",
" <td>0.007179</td>\n",
" <td>0.021536</td>\n",
" <td>0.040679</td>\n",
" <td>0.009572</td>\n",
" <td>0.032304</td>\n",
" <td>0.015554</td>\n",
" <td>0.087341</td>\n",
" <td>0.010768</td>\n",
" <td>0.005982</td>\n",
" <td>0.051447</td>\n",
" <td>0.008375</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.005982</td>\n",
" <td>0.003589</td>\n",
" <td>0.009572</td>\n",
" <td>0.002393</td>\n",
" <td>0.010768</td>\n",
" <td>0.009572</td>\n",
" <td>0.001196</td>\n",
" <td>0.009572</td>\n",
" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.287147</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.005982</td>\n",
" <td>0.005982</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.007179</td>\n",
" <td>0.013161</td>\n",
" <td>0.007179</td>\n",
" <td>0.028715</td>\n",
" <td>0.004786</td>\n",
" <td>0.007179</td>\n",
" <td>0.013161</td>\n",
" <td>0.007179</td>\n",
" <td>0.004786</td>\n",
" <td>0.197414</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.014357</td>\n",
" <td>0.007179</td>\n",
" <td>0.005982</td>\n",
" <td>0.002393</td>\n",
" <td>0.003589</td>\n",
" <td>0.005982</td>\n",
" <td>0.001196</td>\n",
" <td>0.016750</td>\n",
" <td>0.002393</td>\n",
" <td>0.004786</td>\n",
" <td>0.016750</td>\n",
" <td>0.019143</td>\n",
" <td>0.016750</td>\n",
" <td>0.003589</td>\n",
" <td>0.010768</td>\n",
" <td>0.002393</td>\n",
" <td>0.016750</td>\n",
" <td>0.002393</td>\n",
" <td>0.007179</td>\n",
" <td>0.004786</td>\n",
" <td>0.009572</td>\n",
" <td>0.003589</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.013161</td>\n",
" <td>0.002393</td>\n",
" <td>0.003589</td>\n",
" <td>0.004786</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.032304</td>\n",
" <td>0.026322</td>\n",
" <td>0.002393</td>\n",
" <td>0.003589</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" <td>0.050251</td>\n",
" <td>0.017947</td>\n",
" <td>0.005982</td>\n",
" <td>0.007179</td>\n",
" <td>0.008375</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.019143</td>\n",
" <td>0.004786</td>\n",
" <td>0.009572</td>\n",
" <td>0.023929</td>\n",
" <td>0.004786</td>\n",
" <td>0.010768</td>\n",
" <td>0.002393</td>\n",
" <td>0.013161</td>\n",
" <td>0.005982</td>\n",
" <td>0.008375</td>\n",
" <td>0.007179</td>\n",
" <td>0.004786</td>\n",
" <td>0.002393</td>\n",
" <td>0.010768</td>\n",
" <td>0.013161</td>\n",
" <td>0.002393</td>\n",
" <td>0.003589</td>\n",
" <td>0.003589</td>\n",
" <td>0.013161</td>\n",
" <td>0.013161</td>\n",
" <td>0.014357</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.003589</td>\n",
" <td>0.003589</td>\n",
" <td>0.009572</td>\n",
" <td>0.001196</td>\n",
" <td>0.005982</td>\n",
" <td>0.003589</td>\n",
" <td>0.004786</td>\n",
" <td>0.009572</td>\n",
" <td>0.002393</td>\n",
" <td>0.010768</td>\n",
" <td>0.004786</td>\n",
" <td>0.010768</td>\n",
" <td>0.043072</td>\n",
" <td>0.038286</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.013161</td>\n",
" <td>0.055037</td>\n",
" <td>0.011964</td>\n",
" <td>0.002393</td>\n",
" <td>0.005982</td>\n",
" <td>0.003589</td>\n",
" <td>0.015554</td>\n",
" <td>0.044269</td>\n",
" <td>0.001196</td>\n",
" <td>0.013161</td>\n",
" <td>0.008375</td>\n",
" <td>0.014357</td>\n",
" <td>0.009572</td>\n",
" <td>0.004786</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.007179</td>\n",
" <td>0.003589</td>\n",
" <td>0.004786</td>\n",
" <td>0.003589</td>\n",
" <td>0.045465</td>\n",
" <td>0.002393</td>\n",
" <td>0.016750</td>\n",
" <td>0.001196</td>\n",
" <td>0.019143</td>\n",
" <td>0.020340</td>\n",
" <td>0.001196</td>\n",
" <td>0.025125</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.013161</td>\n",
" <td>0.008375</td>\n",
" <td>0.005982</td>\n",
" <td>0.005982</td>\n",
" <td>0.010768</td>\n",
" <td>0.005982</td>\n",
" <td>0.001196</td>\n",
" <td>0.032304</td>\n",
" <td>0.002393</td>\n",
" <td>0.017947</td>\n",
" <td>0.007179</td>\n",
" <td>0.001196</td>\n",
" <td>0.004786</td>\n",
" <td>0.007179</td>\n",
" <td>0.001196</td>\n",
" <td>0.010768</td>\n",
" <td>0.008375</td>\n",
" <td>0.001196</td>\n",
" <td>0.049054</td>\n",
" <td>0.001196</td>\n",
" <td>0.001196</td>\n",
" <td>0.002393</td>\n",
" <td>0.001196</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" ( ) , . 1 10 2 \\\n",
"ch1 0.003848 0.003848 0.695452 0.307807 0.015390 0.002886 0.026933 \n",
"ch2 0.009426 0.009426 0.667338 0.286541 0.022622 0.001885 0.030162 \n",
"ch3 0.004218 0.004218 0.706564 0.278407 0.006327 0.004218 0.021091 \n",
"ch4 0.001649 0.001649 0.662893 0.278679 0.016490 0.003298 0.036278 \n",
"ch5 0.003031 0.003031 0.655680 0.314201 0.008082 0.002021 0.015154 \n",
"ch6 0.002703 0.002703 0.654123 0.328413 0.016218 0.004054 0.043248 \n",
"ch7 0.001271 0.001271 0.677933 0.321494 0.009530 0.001906 0.013978 \n",
"ch8 0.010768 0.010768 0.728637 0.302701 0.032304 0.001196 0.051447 \n",
"\n",
" 4 5 ; <caes <caes. > Caesar \\\n",
"ch1 0.015390 0.000962 0.090418 0.014428 0.276065 0.290493 0.041362 \n",
"ch2 0.018851 0.003770 0.094257 0.022622 0.290311 0.312933 0.047128 \n",
"ch3 0.014764 0.002109 0.052729 0.021091 0.291062 0.312154 0.023201 \n",
"ch4 0.018139 0.006596 0.067608 0.013192 0.306712 0.319903 0.057715 \n",
"ch5 0.010103 0.002021 0.093957 0.022226 0.313191 0.335417 0.032329 \n",
"ch6 0.017569 0.001351 0.070278 0.013515 0.316250 0.329765 0.020272 \n",
"ch7 0.005718 0.000635 0.090857 0.022238 0.310058 0.332295 0.032404 \n",
"ch8 0.025125 0.002393 0.052644 0.008375 0.278772 0.287147 0.040679 \n",
"\n",
" Caesare Caesarem Caesaris Cum Eodem Galli Gallia \\\n",
"ch1 0.007695 0.016352 0.006733 0.007695 0.002886 0.000962 0.014428 \n",
"ch2 0.001885 0.015081 0.005655 0.013196 0.003770 0.001885 0.015081 \n",
"ch3 0.002109 0.006327 0.004218 0.010546 0.004218 0.004218 0.006327 \n",
"ch4 0.004947 0.011543 0.003298 0.004947 0.001649 0.001649 0.006596 \n",
"ch5 0.005051 0.018185 0.014144 0.003031 0.001010 0.002021 0.013134 \n",
"ch6 0.004054 0.010812 0.006757 0.006757 0.001351 0.004054 0.006757 \n",
"ch7 0.002541 0.010166 0.006354 0.008260 0.001906 0.010166 0.004448 \n",
"ch8 0.005982 0.011964 0.021536 0.016750 0.004786 0.001196 0.008375 \n",
"\n",
" Galliae Galliam Gallis Gallorum Germanis Hi His \\\n",
"ch1 0.021162 0.012505 0.006733 0.007695 0.004809 0.003848 0.008657 \n",
"ch2 0.005655 0.001885 0.007541 0.001885 0.001885 0.007541 0.018851 \n",
"ch3 0.004218 0.004218 0.006327 0.004218 0.002109 0.004218 0.014764 \n",
"ch4 0.001649 0.006596 0.001649 0.004947 0.003298 0.003298 0.018139 \n",
"ch5 0.013134 0.007072 0.002021 0.005051 0.003031 0.001010 0.012124 \n",
"ch6 0.012163 0.002703 0.001351 0.006757 0.002703 0.004054 0.010812 \n",
"ch7 0.010166 0.003812 0.003812 0.003812 0.000635 0.001906 0.015884 \n",
"ch8 0.016750 0.004786 0.002393 0.005982 0.002393 0.001196 0.001196 \n",
"\n",
" Hoc In Ipse Itaque Labienum Nam Quae \\\n",
"ch1 0.002886 0.002886 0.003848 0.003848 0.002886 0.002886 0.000962 \n",
"ch2 0.003770 0.001885 0.005655 0.003770 0.001885 0.003770 0.003770 \n",
"ch3 0.002109 0.002109 0.002109 0.014764 0.002109 0.006327 0.004218 \n",
"ch4 0.006596 0.003298 0.003298 0.011543 0.001649 0.004947 0.001649 \n",
"ch5 0.003031 0.007072 0.005051 0.005051 0.003031 0.002021 0.001010 \n",
"ch6 0.012163 0.008109 0.001351 0.006757 0.006757 0.008109 0.002703 \n",
"ch7 0.003177 0.000635 0.005718 0.004448 0.002541 0.005718 0.000635 \n",
"ch8 0.004786 0.001196 0.007179 0.009572 0.004786 0.007179 0.002393 \n",
"\n",
" Quibus Quod Romani Romanis Romanorum Romanos Tum \\\n",
"ch1 0.003848 0.014428 0.028857 0.003848 0.000962 0.001924 0.002886 \n",
"ch2 0.001885 0.005655 0.009426 0.001885 0.003770 0.003770 0.001885 \n",
"ch3 0.006327 0.008437 0.004218 0.002109 0.010546 0.004218 0.004218 \n",
"ch4 0.009894 0.004947 0.011543 0.001649 0.003298 0.001649 0.001649 \n",
"ch5 0.003031 0.001010 0.005051 0.001010 0.001010 0.001010 0.009093 \n",
"ch6 0.006757 0.001351 0.004054 0.001351 0.005406 0.001351 0.002703 \n",
"ch7 0.004448 0.003812 0.008260 0.011437 0.003812 0.008260 0.002541 \n",
"ch8 0.005982 0.008375 0.008375 0.004786 0.008375 0.008375 0.001196 \n",
"\n",
" a ab ac ad adventu amplius ante \\\n",
"ch1 0.055790 0.042324 0.026933 0.102923 0.003848 0.005771 0.010581 \n",
"ch2 0.033932 0.084831 0.041473 0.135730 0.007541 0.005655 0.011311 \n",
"ch3 0.027419 0.040074 0.059056 0.103348 0.006327 0.004218 0.004218 \n",
"ch4 0.039576 0.041225 0.029682 0.126972 0.003298 0.004947 0.006596 \n",
"ch5 0.030309 0.058597 0.025257 0.135379 0.006062 0.003031 0.008082 \n",
"ch6 0.018921 0.051357 0.029733 0.108120 0.004054 0.004054 0.009460 \n",
"ch7 0.019061 0.070525 0.022238 0.111824 0.005718 0.001271 0.013343 \n",
"ch8 0.022733 0.033501 0.022733 0.096912 0.007179 0.009572 0.009572 \n",
"\n",
" apud arma armis atque aut autem auxilium \\\n",
"ch1 0.011543 0.002886 0.008657 0.045209 0.033666 0.007695 0.006733 \n",
"ch2 0.005655 0.003770 0.016966 0.062209 0.009426 0.003770 0.001885 \n",
"ch3 0.004218 0.008437 0.002109 0.059056 0.014764 0.006327 0.006327 \n",
"ch4 0.009894 0.006596 0.009894 0.084098 0.019788 0.004947 0.009894 \n",
"ch5 0.006062 0.003031 0.004041 0.082844 0.016165 0.005051 0.001010 \n",
"ch6 0.006757 0.001351 0.004054 0.087847 0.054060 0.002703 0.002703 \n",
"ch7 0.004448 0.009530 0.003177 0.073702 0.019061 0.003177 0.003177 \n",
"ch8 0.004786 0.004786 0.004786 0.046661 0.035893 0.016750 0.004786 \n",
"\n",
" belli bello bellum castra castris causa celeriter \\\n",
"ch1 0.006733 0.006733 0.013467 0.015390 0.023086 0.015390 0.001924 \n",
"ch2 0.007541 0.001885 0.011311 0.030162 0.030162 0.016966 0.001885 \n",
"ch3 0.012655 0.002109 0.027419 0.021091 0.018982 0.021091 0.016873 \n",
"ch4 0.009894 0.006596 0.014841 0.019788 0.016490 0.023086 0.011543 \n",
"ch5 0.009093 0.005051 0.004041 0.018185 0.012124 0.019196 0.007072 \n",
"ch6 0.008109 0.013515 0.006757 0.017569 0.010812 0.021624 0.006757 \n",
"ch7 0.004448 0.008260 0.012072 0.019061 0.028591 0.019061 0.010166 \n",
"ch8 0.013161 0.002393 0.011964 0.026322 0.014357 0.007179 0.010768 \n",
"\n",
" certior circiter civitates civitatibus civitatis concilio \\\n",
"ch1 0.002886 0.010581 0.005771 0.000962 0.004809 0.002886 \n",
"ch2 0.005655 0.011311 0.007541 0.001885 0.007541 0.003770 \n",
"ch3 0.006327 0.004218 0.012655 0.002109 0.002109 0.002109 \n",
"ch4 0.003298 0.011543 0.003298 0.004947 0.001649 0.001649 \n",
"ch5 0.003031 0.020206 0.005051 0.006062 0.004041 0.004041 \n",
"ch6 0.001351 0.001351 0.004054 0.008109 0.004054 0.002703 \n",
"ch7 0.000635 0.006354 0.005083 0.005718 0.003812 0.004448 \n",
"ch8 0.003589 0.001196 0.021536 0.001196 0.002393 0.001196 \n",
"\n",
" consilio consilium constituit consuetudine contendit contra \\\n",
"ch1 0.008657 0.000962 0.001924 0.001924 0.007695 0.002886 \n",
"ch2 0.003770 0.003770 0.003770 0.005655 0.003770 0.009426 \n",
"ch3 0.012655 0.006327 0.004218 0.002109 0.008437 0.006327 \n",
"ch4 0.006596 0.001649 0.006596 0.004947 0.003298 0.006596 \n",
"ch5 0.009093 0.014144 0.003031 0.003031 0.004041 0.003031 \n",
"ch6 0.009460 0.002703 0.005406 0.004054 0.004054 0.005406 \n",
"ch7 0.008260 0.005083 0.006989 0.001271 0.002541 0.005718 \n",
"ch8 0.008375 0.007179 0.003589 0.004786 0.004786 0.016750 \n",
"\n",
" copias copiis cum de die duas ea \\\n",
"ch1 0.012505 0.004809 0.076952 0.034628 0.014428 0.003848 0.022124 \n",
"ch2 0.007541 0.015081 0.096142 0.024507 0.003770 0.003770 0.007541 \n",
"ch3 0.008437 0.014764 0.086475 0.023201 0.002109 0.004218 0.016873 \n",
"ch4 0.003298 0.004947 0.080800 0.026384 0.009894 0.003298 0.019788 \n",
"ch5 0.011113 0.008082 0.096988 0.037381 0.014144 0.001010 0.013134 \n",
"ch6 0.004054 0.010812 0.079738 0.037842 0.004054 0.005406 0.013515 \n",
"ch7 0.010801 0.008260 0.057183 0.033674 0.013978 0.003177 0.008260 \n",
"ch8 0.008375 0.009572 0.139984 0.010768 0.003589 0.007179 0.010768 \n",
"\n",
" eadem eam ei eius enim eo eorum \\\n",
"ch1 0.001924 0.014428 0.007695 0.031743 0.002886 0.038476 0.019238 \n",
"ch2 0.003770 0.003770 0.003770 0.011311 0.001885 0.022622 0.037703 \n",
"ch3 0.008437 0.012655 0.002109 0.018982 0.006327 0.031637 0.012655 \n",
"ch4 0.004947 0.003298 0.001649 0.009894 0.006596 0.016490 0.023086 \n",
"ch5 0.002021 0.006062 0.005051 0.025257 0.001010 0.024247 0.012124 \n",
"ch6 0.008109 0.006757 0.008109 0.024327 0.004054 0.010812 0.028381 \n",
"ch7 0.004448 0.004448 0.005718 0.013343 0.002541 0.020332 0.015884 \n",
"ch8 0.002393 0.004786 0.005982 0.015554 0.022733 0.028715 0.010768 \n",
"\n",
" eos equitatu equites equitum erant erat esse \\\n",
"ch1 0.024047 0.005771 0.004809 0.002886 0.008657 0.021162 0.069257 \n",
"ch2 0.028277 0.007541 0.009426 0.005655 0.026392 0.018851 0.052784 \n",
"ch3 0.008437 0.004218 0.004218 0.004218 0.010546 0.029528 0.021091 \n",
"ch4 0.026384 0.008245 0.013192 0.004947 0.019788 0.024735 0.037927 \n",
"ch5 0.009093 0.007072 0.010103 0.005051 0.011113 0.010103 0.040412 \n",
"ch6 0.013515 0.010812 0.005406 0.009460 0.012163 0.012163 0.027030 \n",
"ch7 0.010166 0.010166 0.008260 0.007624 0.010801 0.014613 0.021602 \n",
"ch8 0.007179 0.004786 0.013161 0.009572 0.007179 0.021536 0.040679 \n",
"\n",
" essent esset est et etiam eum ex \\\n",
"ch1 0.011543 0.020200 0.042324 0.185646 0.016352 0.027895 0.051943 \n",
"ch2 0.001885 0.009426 0.037703 0.162122 0.020736 0.018851 0.081061 \n",
"ch3 0.008437 0.012655 0.040074 0.156077 0.012655 0.008437 0.075929 \n",
"ch4 0.009894 0.006596 0.037927 0.202825 0.009894 0.016490 0.092343 \n",
"ch5 0.003031 0.011113 0.036371 0.136390 0.007072 0.020206 0.079813 \n",
"ch6 0.002703 0.002703 0.051357 0.120283 0.017569 0.013515 0.068926 \n",
"ch7 0.001906 0.008895 0.020332 0.134062 0.006989 0.006354 0.077514 \n",
"ch8 0.009572 0.032304 0.015554 0.087341 0.010768 0.005982 0.051447 \n",
"\n",
" exercitu exercitum exercitus facere faciunt facto fere \\\n",
"ch1 0.003848 0.012505 0.005771 0.012505 0.001924 0.001924 0.002886 \n",
"ch2 0.003770 0.015081 0.009426 0.003770 0.001885 0.005655 0.005655 \n",
"ch3 0.004218 0.014764 0.004218 0.004218 0.004218 0.002109 0.016873 \n",
"ch4 0.001649 0.013192 0.004947 0.003298 0.001649 0.009894 0.008245 \n",
"ch5 0.002021 0.006062 0.005051 0.004041 0.001010 0.002021 0.009093 \n",
"ch6 0.008109 0.005406 0.006757 0.002703 0.002703 0.001351 0.010812 \n",
"ch7 0.005083 0.010166 0.003812 0.006989 0.001271 0.001906 0.005083 \n",
"ch8 0.008375 0.009572 0.004786 0.005982 0.003589 0.009572 0.002393 \n",
"\n",
" fines finibus flumen fuga fugam fuit gal. \\\n",
"ch1 0.018276 0.014428 0.011543 0.005771 0.001924 0.002886 0.290493 \n",
"ch2 0.016966 0.007541 0.024507 0.007541 0.003770 0.003770 0.312933 \n",
"ch3 0.006327 0.002109 0.002109 0.006327 0.004218 0.008437 0.312154 \n",
"ch4 0.011543 0.011543 0.008245 0.008245 0.004947 0.011543 0.319903 \n",
"ch5 0.011113 0.002021 0.004041 0.003031 0.002021 0.004041 0.335417 \n",
"ch6 0.014866 0.013515 0.004054 0.008109 0.001351 0.004054 0.329765 \n",
"ch7 0.004448 0.004448 0.005083 0.004448 0.005083 0.005083 0.332295 \n",
"ch8 0.010768 0.009572 0.001196 0.009572 0.001196 0.002393 0.287147 \n",
"\n",
" habebat habere hiberna his hoc homines hominum \\\n",
"ch1 0.006733 0.009619 0.000962 0.020200 0.005771 0.006733 0.009619 \n",
"ch2 0.003770 0.003770 0.001885 0.026392 0.001885 0.007541 0.011311 \n",
"ch3 0.002109 0.006327 0.002109 0.031637 0.008437 0.004218 0.010546 \n",
"ch4 0.003298 0.001649 0.001649 0.026384 0.011543 0.004947 0.006596 \n",
"ch5 0.002021 0.004041 0.012124 0.013134 0.012124 0.002021 0.003031 \n",
"ch6 0.004054 0.006757 0.001351 0.020272 0.014866 0.006757 0.009460 \n",
"ch7 0.001906 0.005083 0.000635 0.013978 0.008260 0.001271 0.003812 \n",
"ch8 0.007179 0.003589 0.005982 0.005982 0.008375 0.001196 0.007179 \n",
"\n",
" hostes hostibus hostium iam ibi id impedimenta \\\n",
"ch1 0.010581 0.004809 0.013467 0.005771 0.003848 0.019238 0.003848 \n",
"ch2 0.024507 0.013196 0.018851 0.009426 0.007541 0.007541 0.003770 \n",
"ch3 0.016873 0.010546 0.021091 0.021091 0.004218 0.010546 0.002109 \n",
"ch4 0.019788 0.013192 0.011543 0.006596 0.009894 0.016490 0.001649 \n",
"ch5 0.017175 0.005051 0.015154 0.008082 0.006062 0.012124 0.003031 \n",
"ch6 0.010812 0.005406 0.008109 0.006757 0.004054 0.002703 0.005406 \n",
"ch7 0.012707 0.012072 0.017155 0.015249 0.005083 0.011437 0.001906 \n",
"ch8 0.013161 0.007179 0.028715 0.004786 0.007179 0.013161 0.007179 \n",
"\n",
" impetum in inde inter ipse ipsi ita \\\n",
"ch1 0.002886 0.170256 0.001924 0.016352 0.013467 0.006733 0.011543 \n",
"ch2 0.005655 0.214905 0.001885 0.020736 0.001885 0.005655 0.005655 \n",
"ch3 0.006327 0.187714 0.004218 0.004218 0.008437 0.006327 0.002109 \n",
"ch4 0.004947 0.194580 0.006596 0.008245 0.008245 0.006596 0.006596 \n",
"ch5 0.006062 0.177812 0.002021 0.013134 0.010103 0.003031 0.003031 \n",
"ch6 0.004054 0.201373 0.001351 0.016218 0.009460 0.005406 0.006757 \n",
"ch7 0.003177 0.147404 0.001906 0.012707 0.006989 0.007624 0.001906 \n",
"ch8 0.004786 0.197414 0.001196 0.004786 0.014357 0.007179 0.005982 \n",
"\n",
" itinere iubet legatos legione legionibus legionis loci \\\n",
"ch1 0.010581 0.002886 0.009619 0.001924 0.003848 0.002886 0.001924 \n",
"ch2 0.009426 0.001885 0.013196 0.001885 0.007541 0.003770 0.005655 \n",
"ch3 0.006327 0.008437 0.006327 0.004218 0.004218 0.002109 0.014764 \n",
"ch4 0.004947 0.003298 0.006596 0.003298 0.001649 0.001649 0.001649 \n",
"ch5 0.006062 0.015154 0.010103 0.006062 0.012124 0.002021 0.003031 \n",
"ch6 0.001351 0.008109 0.009460 0.001351 0.009460 0.001351 0.001351 \n",
"ch7 0.004448 0.013343 0.002541 0.000635 0.007624 0.003177 0.007624 \n",
"ch8 0.002393 0.003589 0.005982 0.001196 0.016750 0.002393 0.004786 \n",
"\n",
" locis loco locum longe longius magis magna \\\n",
"ch1 0.004809 0.008657 0.010581 0.003848 0.001924 0.003848 0.006733 \n",
"ch2 0.003770 0.022622 0.026392 0.001885 0.005655 0.003770 0.005655 \n",
"ch3 0.012655 0.012655 0.004218 0.008437 0.006327 0.004218 0.006327 \n",
"ch4 0.016490 0.009894 0.003298 0.004947 0.009894 0.001649 0.011543 \n",
"ch5 0.004041 0.020206 0.014144 0.006062 0.006062 0.001010 0.010103 \n",
"ch6 0.005406 0.018921 0.018921 0.002703 0.009460 0.001351 0.008109 \n",
"ch7 0.010166 0.020332 0.007624 0.002541 0.006989 0.002541 0.008260 \n",
"ch8 0.016750 0.019143 0.016750 0.003589 0.010768 0.002393 0.016750 \n",
"\n",
" magnam magno maxime milibus milites militibus militum \\\n",
"ch1 0.005771 0.006733 0.003848 0.004809 0.004809 0.001924 0.007695 \n",
"ch2 0.007541 0.009426 0.001885 0.009426 0.013196 0.007541 0.005655 \n",
"ch3 0.002109 0.016873 0.004218 0.002109 0.014764 0.002109 0.010546 \n",
"ch4 0.003298 0.009894 0.003298 0.006596 0.006596 0.006596 0.006596 \n",
"ch5 0.005051 0.004041 0.007072 0.004041 0.012124 0.005051 0.021216 \n",
"ch6 0.002703 0.010812 0.005406 0.004054 0.006757 0.002703 0.008109 \n",
"ch7 0.000635 0.006989 0.003812 0.003177 0.011437 0.005083 0.010166 \n",
"ch8 0.002393 0.007179 0.004786 0.009572 0.003589 0.002393 0.001196 \n",
"\n",
" minus mittit modo multitudine multitudinem multitudo \\\n",
"ch1 0.013467 0.002886 0.003848 0.003848 0.004809 0.000962 \n",
"ch2 0.007541 0.003770 0.003770 0.013196 0.007541 0.003770 \n",
"ch3 0.004218 0.002109 0.004218 0.010546 0.002109 0.002109 \n",
"ch4 0.001649 0.001649 0.008245 0.004947 0.003298 0.001649 \n",
"ch5 0.007072 0.011113 0.003031 0.006062 0.004041 0.004041 \n",
"ch6 0.002703 0.004054 0.010812 0.004054 0.002703 0.002703 \n",
"ch7 0.005083 0.007624 0.003812 0.005083 0.001271 0.002541 \n",
"ch8 0.004786 0.013161 0.002393 0.003589 0.004786 0.009572 \n",
"\n",
" natura ne neque nihil nisi nocte noctu \\\n",
"ch1 0.002886 0.029819 0.048095 0.004809 0.003848 0.002886 0.000962 \n",
"ch2 0.009426 0.018851 0.041473 0.011311 0.005655 0.005655 0.001885 \n",
"ch3 0.008437 0.016873 0.050620 0.012655 0.004218 0.004218 0.002109 \n",
"ch4 0.003298 0.011543 0.056066 0.008245 0.003298 0.004947 0.001649 \n",
"ch5 0.004041 0.016165 0.035360 0.012124 0.003031 0.005051 0.004041 \n",
"ch6 0.004054 0.031084 0.039193 0.004054 0.004054 0.001351 0.002703 \n",
"ch7 0.003177 0.035580 0.024144 0.003812 0.003812 0.004448 0.003177 \n",
"ch8 0.004786 0.032304 0.026322 0.002393 0.003589 0.002393 0.001196 \n",
"\n",
" non nostri nostrorum nostros numero numerum obsides \\\n",
"ch1 0.084647 0.005771 0.003848 0.011543 0.006733 0.006733 0.012505 \n",
"ch2 0.054669 0.026392 0.003770 0.015081 0.007541 0.003770 0.007541 \n",
"ch3 0.048510 0.010546 0.010546 0.012655 0.014764 0.006327 0.006327 \n",
"ch4 0.044523 0.011543 0.003298 0.009894 0.003298 0.006596 0.008245 \n",
"ch5 0.041422 0.007072 0.003031 0.007072 0.006062 0.003031 0.005051 \n",
"ch6 0.054060 0.005406 0.002703 0.001351 0.024327 0.001351 0.002703 \n",
"ch7 0.045746 0.004448 0.002541 0.005718 0.008895 0.006354 0.005083 \n",
"ch8 0.050251 0.017947 0.005982 0.007179 0.008375 0.002393 0.005982 \n",
"\n",
" omnes omni omnia omnibus omnis omnium pars \\\n",
"ch1 0.014428 0.007695 0.006733 0.012505 0.001924 0.010581 0.001924 \n",
"ch2 0.024507 0.007541 0.016966 0.024507 0.003770 0.009426 0.005655 \n",
"ch3 0.025310 0.008437 0.010546 0.025310 0.010546 0.010546 0.006327 \n",
"ch4 0.018139 0.008245 0.011543 0.031331 0.001649 0.003298 0.011543 \n",
"ch5 0.032329 0.007072 0.006062 0.029298 0.006062 0.007072 0.009093 \n",
"ch6 0.025678 0.005406 0.006757 0.020272 0.005406 0.013515 0.009460 \n",
"ch7 0.023508 0.010166 0.005083 0.026050 0.003812 0.006354 0.006989 \n",
"ch8 0.019143 0.004786 0.009572 0.023929 0.004786 0.010768 0.002393 \n",
"\n",
" parte partem partes paucis paulatim paulo per \\\n",
"ch1 0.005771 0.013467 0.003848 0.003848 0.000962 0.000962 0.031743 \n",
"ch2 0.018851 0.015081 0.001885 0.001885 0.003770 0.001885 0.011311 \n",
"ch3 0.016873 0.006327 0.002109 0.010546 0.002109 0.002109 0.018982 \n",
"ch4 0.011543 0.019788 0.006596 0.004947 0.003298 0.009894 0.011543 \n",
"ch5 0.013134 0.014144 0.003031 0.002021 0.001010 0.004041 0.013134 \n",
"ch6 0.005406 0.005406 0.008109 0.009460 0.001351 0.004054 0.021624 \n",
"ch7 0.013978 0.009530 0.005083 0.001906 0.001271 0.008260 0.013343 \n",
"ch8 0.013161 0.005982 0.008375 0.007179 0.004786 0.002393 0.010768 \n",
"\n",
" periculo pervenit plerumque populi posse possent posset \\\n",
"ch1 0.006733 0.003848 0.000962 0.024047 0.014428 0.011543 0.012505 \n",
"ch2 0.007541 0.003770 0.001885 0.007541 0.007541 0.018851 0.011311 \n",
"ch3 0.002109 0.002109 0.002109 0.002109 0.016873 0.014764 0.006327 \n",
"ch4 0.003298 0.001649 0.004947 0.009894 0.008245 0.009894 0.004947 \n",
"ch5 0.011113 0.004041 0.003031 0.003031 0.012124 0.006062 0.011113 \n",
"ch6 0.001351 0.005406 0.004054 0.002703 0.004054 0.005406 0.005406 \n",
"ch7 0.004448 0.006354 0.001906 0.001906 0.010166 0.009530 0.007624 \n",
"ch8 0.013161 0.002393 0.003589 0.003589 0.013161 0.013161 0.014357 \n",
"\n",
" post poterant poterat potestatem potuit praesidio primo \\\n",
"ch1 0.000962 0.002886 0.001924 0.002886 0.001924 0.002886 0.000962 \n",
"ch2 0.009426 0.009426 0.003770 0.003770 0.001885 0.003770 0.005655 \n",
"ch3 0.004218 0.002109 0.002109 0.002109 0.002109 0.002109 0.002109 \n",
"ch4 0.013192 0.003298 0.001649 0.004947 0.003298 0.003298 0.001649 \n",
"ch5 0.005051 0.003031 0.001010 0.001010 0.002021 0.003031 0.001010 \n",
"ch6 0.008109 0.001351 0.002703 0.002703 0.001351 0.013515 0.004054 \n",
"ch7 0.006989 0.000635 0.003812 0.001906 0.000635 0.007624 0.005083 \n",
"ch8 0.001196 0.001196 0.004786 0.003589 0.003589 0.009572 0.001196 \n",
"\n",
" primum principes prius pro proeliis proelio proelium \\\n",
"ch1 0.005771 0.000962 0.003848 0.013467 0.003848 0.014428 0.012505 \n",
"ch2 0.009426 0.001885 0.003770 0.009426 0.005655 0.013196 0.003770 \n",
"ch3 0.014764 0.002109 0.006327 0.014764 0.002109 0.010546 0.006327 \n",
"ch4 0.003298 0.003298 0.006596 0.004947 0.006596 0.019788 0.006596 \n",
"ch5 0.003031 0.003031 0.001010 0.019196 0.001010 0.008082 0.002021 \n",
"ch6 0.002703 0.006757 0.002703 0.013515 0.004054 0.004054 0.002703 \n",
"ch7 0.002541 0.003177 0.004448 0.012072 0.001271 0.006989 0.003177 \n",
"ch8 0.005982 0.003589 0.004786 0.009572 0.002393 0.010768 0.004786 \n",
"\n",
" propter quae quam quantum quas quem qui \\\n",
"ch1 0.011543 0.026933 0.048095 0.000962 0.007695 0.007695 0.061561 \n",
"ch2 0.013196 0.037703 0.028277 0.003770 0.001885 0.007541 0.082946 \n",
"ch3 0.023201 0.025310 0.021091 0.002109 0.012655 0.006327 0.040074 \n",
"ch4 0.018139 0.052768 0.028033 0.006596 0.013192 0.011543 0.056066 \n",
"ch5 0.006062 0.027278 0.023237 0.001010 0.005051 0.009093 0.040412 \n",
"ch6 0.004054 0.039193 0.025678 0.004054 0.008109 0.004054 0.064872 \n",
"ch7 0.005083 0.038122 0.023508 0.004448 0.006989 0.010166 0.047017 \n",
"ch8 0.010768 0.043072 0.038286 0.007179 0.003589 0.013161 0.055037 \n",
"\n",
" quibus quid quidem quin quo quod quoque \\\n",
"ch1 0.008657 0.013467 0.007695 0.005771 0.016352 0.095228 0.000962 \n",
"ch2 0.005655 0.009426 0.003770 0.003770 0.016966 0.056554 0.003770 \n",
"ch3 0.021091 0.016873 0.010546 0.006327 0.016873 0.069602 0.004218 \n",
"ch4 0.028033 0.004947 0.004947 0.001649 0.016490 0.061013 0.001649 \n",
"ch5 0.014144 0.009093 0.007072 0.003031 0.014144 0.059607 0.002021 \n",
"ch6 0.008109 0.009460 0.008109 0.001351 0.017569 0.039193 0.002703 \n",
"ch7 0.006989 0.015249 0.006989 0.003812 0.013978 0.054006 0.004448 \n",
"ch8 0.011964 0.002393 0.005982 0.003589 0.015554 0.044269 0.001196 \n",
"\n",
" quorum quos re rebus rei reliquae reliqui \\\n",
"ch1 0.006733 0.011543 0.011543 0.013467 0.008657 0.000962 0.001924 \n",
"ch2 0.011311 0.009426 0.009426 0.018851 0.007541 0.001885 0.003770 \n",
"ch3 0.004218 0.012655 0.012655 0.021091 0.016873 0.002109 0.004218 \n",
"ch4 0.013192 0.018139 0.008245 0.026384 0.008245 0.006596 0.004947 \n",
"ch5 0.006062 0.011113 0.016165 0.022226 0.005051 0.002021 0.001010 \n",
"ch6 0.008109 0.008109 0.010812 0.021624 0.014866 0.001351 0.002703 \n",
"ch7 0.008260 0.015249 0.015249 0.014613 0.013978 0.000635 0.003177 \n",
"ch8 0.013161 0.008375 0.014357 0.009572 0.004786 0.001196 0.001196 \n",
"\n",
" reliquis reliquos rem rerum res rursus se \\\n",
"ch1 0.000962 0.002886 0.014428 0.007695 0.012505 0.000962 0.086571 \n",
"ch2 0.003770 0.009426 0.005655 0.009426 0.011311 0.005655 0.056554 \n",
"ch3 0.006327 0.006327 0.002109 0.006327 0.008437 0.004218 0.052729 \n",
"ch4 0.006596 0.003298 0.003298 0.006596 0.014841 0.006596 0.080800 \n",
"ch5 0.005051 0.002021 0.012124 0.004041 0.009093 0.003031 0.061628 \n",
"ch6 0.013515 0.005406 0.005406 0.012163 0.008109 0.004054 0.068926 \n",
"ch7 0.006354 0.001271 0.006354 0.003177 0.012707 0.004448 0.059089 \n",
"ch8 0.001196 0.004786 0.007179 0.003589 0.004786 0.003589 0.045465 \n",
"\n",
" secum sed seque si sibi silvas sine \\\n",
"ch1 0.004809 0.018276 0.003848 0.041362 0.036552 0.000962 0.011543 \n",
"ch2 0.001885 0.013196 0.005655 0.022622 0.018851 0.005655 0.009426 \n",
"ch3 0.002109 0.012655 0.008437 0.014764 0.018982 0.008437 0.006327 \n",
"ch4 0.003298 0.014841 0.006596 0.028033 0.028033 0.003298 0.006596 \n",
"ch5 0.004041 0.016165 0.002021 0.021216 0.010103 0.006062 0.009093 \n",
"ch6 0.001351 0.018921 0.001351 0.029733 0.009460 0.004054 0.001351 \n",
"ch7 0.001271 0.011437 0.000635 0.024779 0.012707 0.000635 0.004448 \n",
"ch8 0.002393 0.016750 0.001196 0.019143 0.020340 0.001196 0.025125 \n",
"\n",
" sit spatio sua suam subito suis summa \\\n",
"ch1 0.006733 0.000962 0.015390 0.009619 0.001924 0.023086 0.004809 \n",
"ch2 0.003770 0.001885 0.009426 0.001885 0.003770 0.015081 0.001885 \n",
"ch3 0.002109 0.008437 0.006327 0.002109 0.014764 0.004218 0.002109 \n",
"ch4 0.001649 0.006596 0.003298 0.003298 0.004947 0.011543 0.003298 \n",
"ch5 0.004041 0.004041 0.009093 0.002021 0.003031 0.011113 0.004041 \n",
"ch6 0.004054 0.004054 0.002703 0.004054 0.001351 0.006757 0.008109 \n",
"ch7 0.005083 0.005083 0.006354 0.002541 0.005718 0.012707 0.003177 \n",
"ch8 0.001196 0.001196 0.004786 0.008375 0.001196 0.013161 0.008375 \n",
"\n",
" sunt suos superiore superioribus supra tamen \\\n",
"ch1 0.009619 0.010581 0.002886 0.001924 0.000962 0.007695 \n",
"ch2 0.015081 0.016966 0.007541 0.001885 0.005655 0.003770 \n",
"ch3 0.016873 0.014764 0.004218 0.004218 0.002109 0.014764 \n",
"ch4 0.023086 0.013192 0.004947 0.003298 0.008245 0.019788 \n",
"ch5 0.011113 0.009093 0.007072 0.001010 0.006062 0.018185 \n",
"ch6 0.032436 0.008109 0.001351 0.001351 0.008109 0.002703 \n",
"ch7 0.010166 0.009530 0.002541 0.005718 0.002541 0.012707 \n",
"ch8 0.005982 0.005982 0.010768 0.005982 0.001196 0.032304 \n",
"\n",
" tanta tempore tempus totius tum ubi una \\\n",
"ch1 0.002886 0.007695 0.005771 0.008657 0.001924 0.003848 0.008657 \n",
"ch2 0.015081 0.011311 0.009426 0.005655 0.007541 0.009426 0.015081 \n",
"ch3 0.008437 0.010546 0.006327 0.002109 0.004218 0.023201 0.008437 \n",
"ch4 0.003298 0.008245 0.008245 0.001649 0.003298 0.008245 0.008245 \n",
"ch5 0.004041 0.005051 0.006062 0.004041 0.005051 0.002021 0.005051 \n",
"ch6 0.002703 0.006757 0.005406 0.006757 0.004054 0.005406 0.013515 \n",
"ch7 0.004448 0.014613 0.003812 0.005083 0.003812 0.004448 0.008895 \n",
"ch8 0.002393 0.017947 0.007179 0.001196 0.004786 0.007179 0.001196 \n",
"\n",
" undique unum usus ut uti ventum vero \\\n",
"ch1 0.002886 0.005771 0.001924 0.070219 0.024047 0.000962 0.002886 \n",
"ch2 0.003770 0.011311 0.005655 0.073520 0.015081 0.001885 0.005655 \n",
"ch3 0.010546 0.004218 0.004218 0.054838 0.012655 0.002109 0.006327 \n",
"ch4 0.004947 0.004947 0.003298 0.052768 0.016490 0.003298 0.004947 \n",
"ch5 0.005051 0.008082 0.001010 0.063648 0.010103 0.001010 0.005051 \n",
"ch6 0.004054 0.006757 0.005406 0.067575 0.004054 0.001351 0.004054 \n",
"ch7 0.003177 0.003812 0.001271 0.061630 0.002541 0.000635 0.003177 \n",
"ch8 0.010768 0.008375 0.001196 0.049054 0.001196 0.001196 0.002393 \n",
"\n",
" vulneribus \n",
"ch1 0.001924 \n",
"ch2 0.003770 \n",
"ch3 0.004218 \n",
"ch4 0.003298 \n",
"ch5 0.004041 \n",
"ch6 0.001351 \n",
"ch7 0.001271 \n",
"ch8 0.001196 "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "2a231cde-34d1-4444-a681-93fcef31f5d3",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"ch1 0.013467\n",
"ch2 0.011311\n",
"ch3 0.027419\n",
"ch4 0.014841\n",
"ch5 0.004041\n",
"ch6 0.006757\n",
"ch7 0.012072\n",
"ch8 0.011964\n",
"Name: bellum, dtype: float64"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['bellum'] # how often does this word appear in each text?"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "e907cbac-dd41-4959-9602-43aa1dcd0805",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot: >"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df['bellum'].plot(kind = 'bar') # distribution of 'bellum' for each text"
]
},
{
"cell_type": "markdown",
"id": "0ddc77c5-7c9b-41bf-9104-820697e9615b",
"metadata": {},
"source": [
"## Principal Component Analysis"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "587bc9a8-6aed-4709-a0d3-29bb909f763c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(8, 277)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# the current shape of our matrix\n",
"\n",
"text_frequencies.shape"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "c4fdc6a7-7531-4e73-84ad-2e91d5f60d35",
"metadata": {},
"outputs": [],
"source": [
"# we will collapse our 277 components (most frequent words) down to just 2\n",
"# so that we can easily plot the data\n",
"\n",
"pca = PCA(n_components = 2) # we want 2 components as output"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "9938feed-9a13-4a67-8269-6c10bef2f3e6",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/tim/predictive_analytics/DATA301_final_project/envs/lib/python3.9/site-packages/sklearn/utils/validation.py:727: FutureWarning: np.matrix usage is deprecated in 1.0 and will raise a TypeError in 1.2. Please convert to a numpy array with np.asarray. For more information see: https://numpy.org/doc/stable/reference/generated/numpy.matrix.html\n",
" warnings.warn(\n"
]
}
],
"source": [
"text_frequencies_reduced = pca.fit_transform(text_frequencies) # use the original matrix, not the dataframe"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "699fd0a8-6a56-496d-be54-7a934d95a0a8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(8, 2)"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# the new shape of our matrix\n",
"\n",
"text_frequencies_reduced.shape"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "a4c604a0-bd61-4e4a-8acb-3b87a15238d9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0.00283166, 0.10205117],\n",
" [-0.0276947 , 0.02508813],\n",
" [ 0.0150007 , 0.01285037],\n",
" [-0.0555023 , 0.03585336],\n",
" [-0.03362365, -0.04507844],\n",
" [-0.01771797, -0.06511353],\n",
" [-0.02507698, -0.05298959],\n",
" [ 0.14178324, -0.01266148]])"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text_frequencies_reduced"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "d0972829-9ffb-46bf-b6d2-925dbf79570a",
"metadata": {},
"outputs": [],
"source": [
"# make the matrix a dataframe so we can plot it\n",
"\n",
"df_text_frequencies_reduced = pd.DataFrame(text_frequencies_reduced,\n",
" columns = ['First Component', 'Second Component'],\n",
" index = ['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7', 'ch8'])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "a27ea5bd-ef41-44d8-87e3-2dfdf5ccdd66",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>First Component</th>\n",
" <th>Second Component</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ch1</th>\n",
" <td>0.002832</td>\n",
" <td>0.102051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch2</th>\n",
" <td>-0.027695</td>\n",
" <td>0.025088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch3</th>\n",
" <td>0.015001</td>\n",
" <td>0.012850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch4</th>\n",
" <td>-0.055502</td>\n",
" <td>0.035853</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch5</th>\n",
" <td>-0.033624</td>\n",
" <td>-0.045078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch6</th>\n",
" <td>-0.017718</td>\n",
" <td>-0.065114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch7</th>\n",
" <td>-0.025077</td>\n",
" <td>-0.052990</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch8</th>\n",
" <td>0.141783</td>\n",
" <td>-0.012661</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" First Component Second Component\n",
"ch1 0.002832 0.102051\n",
"ch2 -0.027695 0.025088\n",
"ch3 0.015001 0.012850\n",
"ch4 -0.055502 0.035853\n",
"ch5 -0.033624 -0.045078\n",
"ch6 -0.017718 -0.065114\n",
"ch7 -0.025077 -0.052990\n",
"ch8 0.141783 -0.012661"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_text_frequencies_reduced"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "25098dab-c36f-4d12-9127-4e283d29ba3d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plot the dataframe\n",
"# blue is Caesar, red Not Caesar\n",
"\n",
"ax = df_text_frequencies_reduced.plot(kind = 'scatter', x = 'First Component',\n",
" y = 'Second Component', c = list('b' * 7 + 'r'))\n",
"\n",
"for title, points in df_text_frequencies_reduced.iterrows():\n",
" ax.annotate(title, points)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "6b88561d-14ff-40f3-b9d8-b4905550daf4",
"metadata": {},
"outputs": [],
"source": [
"# The result shows all of Caesar's texts on the left side"
]
},
{
"cell_type": "markdown",
"id": "a572a677-37f8-4283-b17a-b3726a0fbb7f",
"metadata": {},
"source": [
"# Stylometry, continued"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "18e62f2d-188a-44f6-b549-fc3acb2ea957",
"metadata": {},
"outputs": [],
"source": [
"# create a dendrogram to show hierarchical clustering"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "244554a6-0f3a-4046-81dc-e1b5d4112bb0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>First Component</th>\n",
" <th>Second Component</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ch1</th>\n",
" <td>0.002832</td>\n",
" <td>0.102051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch2</th>\n",
" <td>-0.027695</td>\n",
" <td>0.025088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch3</th>\n",
" <td>0.015001</td>\n",
" <td>0.012850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch4</th>\n",
" <td>-0.055502</td>\n",
" <td>0.035853</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch5</th>\n",
" <td>-0.033624</td>\n",
" <td>-0.045078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch6</th>\n",
" <td>-0.017718</td>\n",
" <td>-0.065114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch7</th>\n",
" <td>-0.025077</td>\n",
" <td>-0.052990</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ch8</th>\n",
" <td>0.141783</td>\n",
" <td>-0.012661</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" First Component Second Component\n",
"ch1 0.002832 0.102051\n",
"ch2 -0.027695 0.025088\n",
"ch3 0.015001 0.012850\n",
"ch4 -0.055502 0.035853\n",
"ch5 -0.033624 -0.045078\n",
"ch6 -0.017718 -0.065114\n",
"ch7 -0.025077 -0.052990\n",
"ch8 0.141783 -0.012661"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_text_frequencies_reduced"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "da3cb105-0efb-499c-925b-346026f3685b",
"metadata": {},
"outputs": [],
"source": [
"links = linkage(df_text_frequencies_reduced, method = 'ward')"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "d0f7309c-8a6c-4bba-9b2f-bfc1f7d506ed",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = dendrogram(links, labels = titles) # show the dendrogram; '_' suppresses the other output"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "78c9c308-6b32-4718-b039-d802bb683e1b",
"metadata": {},
"outputs": [],
"source": [
"# The result shows 3 clusters of texts. Chapters 1, 2, 3 and 4 cluster together,\n",
"# as do chapters 5, 6 and 7. Chapter 8 is by itself"
]
},
{
"cell_type": "markdown",
"id": "42339c73-5ea4-4544-91a3-4e7b27f22ce2",
"metadata": {},
"source": [
"# Conclusion"
]
},
{
"cell_type": "markdown",
"id": "3e0f777a-2fd4-473c-9906-1c45fc81c12c",
"metadata": {},
"source": [
"## In the first part of this notebook we imported and processed the eight chapters of Caesar's _Commentaries on the Gallic War_. We know that chapters 1-7 were written by Caesar himself, but chapter 8 was written after his death. The texts were tokenized and added to a single corpus. Next we applied TfidfVectorization to the corpus, which produced a large array. The array was reduced to 2 dimensions using Principal Component Analysis so we could create plots. The first plot is a scatter plot showing chapter 8 as an outlier. The second is a dendrogram that shows clustering of texts, with chapter 8 forming its own cluster. Both results are strong evidence that the \"author imprint\" of chapter 8 is different from that of the other chapters taken together."
]
},
{
"cell_type": "markdown",
"id": "fbaed032-c2d0-40fe-9e8a-5e393537e88e",
"metadata": {},
"source": [
"## Resources"
]
},
{
"cell_type": "markdown",
"id": "4f7f4f57-3722-4dd0-8d8f-5c245b6016c4",
"metadata": {},
"source": [
"### Batista, David S. (2018, February 28). _Applying scikit-learn TfidfVectorizer on tokenized text_ [Blog Post]. https://www.davidsbatista.net/blog/2018/02/28/TfidfVectorizer/\n"
]
},
{
"cell_type": "markdown",
"id": "6a0af761-68fd-4e5c-9f22-c0ac9721cf6b",
"metadata": {},
"source": [
"### Reeve, Jonathan. (2021, July 27). _Introduction to Computational Literary Analysis_ Lecture 14 [Video]. Youtube. https://youtu.be/43_Egqq0hsQ"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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