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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "code",
  5. "execution_count": 1,
  6. "metadata": {},
  7. "outputs": [],
  8. "source": [
  9. "import pandas as pd"
  10. ]
  11. },
  12. {
  13. "cell_type": "code",
  14. "execution_count": 3,
  15. "metadata": {},
  16. "outputs": [],
  17. "source": [
  18. "df = pd.read_csv('data/Maine2018GenCD2.csv')"
  19. ]
  20. },
  21. {
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  23. "execution_count": 4,
  24. "metadata": {},
  25. "outputs": [
  26. {
  27. "data": {
  28. "text/html": [
  29. "<div>\n",
  30. "<style scoped>\n",
  31. " .dataframe tbody tr th:only-of-type {\n",
  32. " vertical-align: middle;\n",
  33. " }\n",
  34. "\n",
  35. " .dataframe tbody tr th {\n",
  36. " vertical-align: top;\n",
  37. " }\n",
  38. "\n",
  39. " .dataframe thead th {\n",
  40. " text-align: right;\n",
  41. " }\n",
  42. "</style>\n",
  43. "<table border=\"1\" class=\"dataframe\">\n",
  44. " <thead>\n",
  45. " <tr style=\"text-align: right;\">\n",
  46. " <th></th>\n",
  47. " <th>Election</th>\n",
  48. " <th>Choice1</th>\n",
  49. " <th>Choice2</th>\n",
  50. " <th>Choice3</th>\n",
  51. " <th>Choice4</th>\n",
  52. " <th>Choice5</th>\n",
  53. " <th>Choice6</th>\n",
  54. " <th>Choice7</th>\n",
  55. " <th>Choice8</th>\n",
  56. " <th>Front</th>\n",
  57. " <th>C1</th>\n",
  58. " <th>C2</th>\n",
  59. " <th>C3</th>\n",
  60. " <th>FC_EffNC</th>\n",
  61. " <th>SC_EffNC</th>\n",
  62. " <th>MajorityNum</th>\n",
  63. " </tr>\n",
  64. " </thead>\n",
  65. " <tbody>\n",
  66. " <tr>\n",
  67. " <th>0</th>\n",
  68. " <td>Maine2018GenCD2</td>\n",
  69. " <td>DEM Golden Jared F</td>\n",
  70. " <td>Bond Tiffany L</td>\n",
  71. " <td>Hoar William RS</td>\n",
  72. " <td>undervote</td>\n",
  73. " <td>undervote</td>\n",
  74. " <td>NaN</td>\n",
  75. " <td>NaN</td>\n",
  76. " <td>NaN</td>\n",
  77. " <td>0.464</td>\n",
  78. " <td>0.4548</td>\n",
  79. " <td>0.0573</td>\n",
  80. " <td>0.0238</td>\n",
  81. " <td>2.35</td>\n",
  82. " <td>NaN</td>\n",
  83. " <td>2</td>\n",
  84. " </tr>\n",
  85. " <tr>\n",
  86. " <th>1</th>\n",
  87. " <td>Maine2018GenCD2</td>\n",
  88. " <td>DEM Golden Jared F</td>\n",
  89. " <td>undervote</td>\n",
  90. " <td>undervote</td>\n",
  91. " <td>undervote</td>\n",
  92. " <td>undervote</td>\n",
  93. " <td>NaN</td>\n",
  94. " <td>NaN</td>\n",
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  100. " <td>2.35</td>\n",
  101. " <td>NaN</td>\n",
  102. " <td>2</td>\n",
  103. " </tr>\n",
  104. " <tr>\n",
  105. " <th>2</th>\n",
  106. " <td>Maine2018GenCD2</td>\n",
  107. " <td>REP Poliquin Bruce</td>\n",
  108. " <td>undervote</td>\n",
  109. " <td>undervote</td>\n",
  110. " <td>undervote</td>\n",
  111. " <td>undervote</td>\n",
  112. " <td>NaN</td>\n",
  113. " <td>NaN</td>\n",
  114. " <td>NaN</td>\n",
  115. " <td>0.464</td>\n",
  116. " <td>0.4641</td>\n",
  117. " <td>0.0000</td>\n",
  118. " <td>0.0000</td>\n",
  119. " <td>2.35</td>\n",
  120. " <td>NaN</td>\n",
  121. " <td>2</td>\n",
  122. " </tr>\n",
  123. " <tr>\n",
  124. " <th>3</th>\n",
  125. " <td>Maine2018GenCD2</td>\n",
  126. " <td>DEM Golden Jared F</td>\n",
  127. " <td>REP Poliquin Bruce</td>\n",
  128. " <td>Bond Tiffany L</td>\n",
  129. " <td>Hoar William RS</td>\n",
  130. " <td>undervote</td>\n",
  131. " <td>NaN</td>\n",
  132. " <td>NaN</td>\n",
  133. " <td>NaN</td>\n",
  134. " <td>0.464</td>\n",
  135. " <td>0.4548</td>\n",
  136. " <td>0.4641</td>\n",
  137. " <td>0.0573</td>\n",
  138. " <td>2.35</td>\n",
  139. " <td>NaN</td>\n",
  140. " <td>2</td>\n",
  141. " </tr>\n",
  142. " <tr>\n",
  143. " <th>4</th>\n",
  144. " <td>Maine2018GenCD2</td>\n",
  145. " <td>REP Poliquin Bruce</td>\n",
  146. " <td>undervote</td>\n",
  147. " <td>undervote</td>\n",
  148. " <td>undervote</td>\n",
  149. " <td>undervote</td>\n",
  150. " <td>NaN</td>\n",
  151. " <td>NaN</td>\n",
  152. " <td>NaN</td>\n",
  153. " <td>0.464</td>\n",
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  156. " <td>0.0000</td>\n",
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  158. " <td>NaN</td>\n",
  159. " <td>2</td>\n",
  160. " </tr>\n",
  161. " </tbody>\n",
  162. "</table>\n",
  163. "</div>"
  164. ],
  165. "text/plain": [
  166. " Election Choice1 Choice2 Choice3 \\\n",
  167. "0 Maine2018GenCD2 DEM Golden Jared F Bond Tiffany L Hoar William RS \n",
  168. "1 Maine2018GenCD2 DEM Golden Jared F undervote undervote \n",
  169. "2 Maine2018GenCD2 REP Poliquin Bruce undervote undervote \n",
  170. "3 Maine2018GenCD2 DEM Golden Jared F REP Poliquin Bruce Bond Tiffany L \n",
  171. "4 Maine2018GenCD2 REP Poliquin Bruce undervote undervote \n",
  172. "\n",
  173. " Choice4 Choice5 Choice6 Choice7 Choice8 Front C1 \\\n",
  174. "0 undervote undervote NaN NaN NaN 0.464 0.4548 \n",
  175. "1 undervote undervote NaN NaN NaN 0.464 0.4548 \n",
  176. "2 undervote undervote NaN NaN NaN 0.464 0.4641 \n",
  177. "3 Hoar William RS undervote NaN NaN NaN 0.464 0.4548 \n",
  178. "4 undervote undervote NaN NaN NaN 0.464 0.4641 \n",
  179. "\n",
  180. " C2 C3 FC_EffNC SC_EffNC MajorityNum \n",
  181. "0 0.0573 0.0238 2.35 NaN 2 \n",
  182. "1 0.0000 0.0000 2.35 NaN 2 \n",
  183. "2 0.0000 0.0000 2.35 NaN 2 \n",
  184. "3 0.4641 0.0573 2.35 NaN 2 \n",
  185. "4 0.0000 0.0000 2.35 NaN 2 "
  186. ]
  187. },
  188. "execution_count": 4,
  189. "metadata": {},
  190. "output_type": "execute_result"
  191. }
  192. ],
  193. "source": [
  194. "df.head()"
  195. ]
  196. },
  197. {
  198. "cell_type": "code",
  199. "execution_count": null,
  200. "metadata": {},
  201. "outputs": [],
  202. "source": [
  203. "df.head()"
  204. ]
  205. },
  206. {
  207. "cell_type": "code",
  208. "execution_count": null,
  209. "metadata": {},
  210. "outputs": [],
  211. "source": []
  212. }
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  214. "metadata": {
  215. "kernelspec": {
  216. "display_name": "Python 3",
  217. "language": "python",
  218. "name": "python3"
  219. },
  220. "language_info": {
  221. "codemirror_mode": {
  222. "name": "ipython",
  223. "version": 3
  224. },
  225. "file_extension": ".py",
  226. "mimetype": "text/x-python",
  227. "name": "python",
  228. "nbconvert_exporter": "python",
  229. "pygments_lexer": "ipython3",
  230. "version": "3.6.6"
  231. }
  232. },
  233. "nbformat": 4,
  234. "nbformat_minor": 2
  235. }
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