diff --git a/your-code/1.-Data-Cleaning.ipynb b/your-code/1.-Data-Cleaning.ipynb index d1c8eea..2f675b1 100644 --- a/your-code/1.-Data-Cleaning.ipynb +++ b/your-code/1.-Data-Cleaning.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -47,11 +47,282 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 90, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
0Aerial PowersDALF18371.021.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
1Alana BeardLAG/F18573.021.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
2Alex BentleyCONG17069.023.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F18584.024.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
4Alexis JonesMING17578.025.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
91Makayla EppsCHIG178NaNNaNUSJune 6, 199522KentuckyR145221414.3050.02540.02024104600
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" + ], + "text/plain": [ + " Name Team Pos Height Weight BMI Birth_Place Birthdate Age \\\n", + "91 Makayla Epps CHI G 178 NaN NaN US June 6, 1995 22 \n", + "\n", + " College Experience Games Played MIN FGM FGA FG% 3PM 3PA 3P% \\\n", + "91 Kentucky R 14 52 2 14 14.3 0 5 0.0 \n", + "\n", + " FTM FTA FT% OREB DREB REB AST STL BLK TO PTS DD2 TD3 \n", + "91 2 5 40.0 2 0 2 4 1 0 4 6 0 0 " + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "wnba[wnba.isnull().any(axis=1)]" ] }, { @@ -96,11 +521,22 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 93, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0.006993006993006993" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "1/(wnba.shape[0])" ] }, { @@ -114,11 +550,519 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 119, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
0Aerial PowersDALF18371.021.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
1Alana BeardLAG/F18573.021.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
2Alex BentleyCONG17069.023.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F18584.024.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
4Alexis JonesMING17578.025.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
...................................................................................................
138Tiffany HayesATLG17870.022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.52889117693785046700
139Tiffany JacksonLAF19184.023.025685USApril 26, 198532Texas922127122548.0010.04666.75182331382800
140Tiffany MitchellINDG17569.022.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.2167086393154027700
141Tina CharlesNYF/C19384.022.550941USMay 12, 198829Connecticut82995222750944.6185632.111013581.55621226875212271582110
142Yvonne TurnerPHOG17559.019.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.6111324301813215100
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142 rows × 32 columns

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" + ], + "text/plain": [ + " Name Team Pos Height Weight BMI Birth_Place \\\n", + "0 Aerial Powers DAL F 183 71.0 21.200991 US \n", + "1 Alana Beard LA G/F 185 73.0 21.329438 US \n", + "2 Alex Bentley CON G 170 69.0 23.875433 US \n", + "3 Alex Montgomery SAN G/F 185 84.0 24.543462 US \n", + "4 Alexis Jones MIN G 175 78.0 25.469388 US \n", + ".. ... ... ... ... ... ... ... \n", + "138 Tiffany Hayes ATL G 178 70.0 22.093170 US \n", + "139 Tiffany Jackson LA F 191 84.0 23.025685 US \n", + "140 Tiffany Mitchell IND G 175 69.0 22.530612 US \n", + "141 Tina Charles NY F/C 193 84.0 22.550941 US \n", + "142 Yvonne Turner PHO G 175 59.0 19.265306 US \n", + "\n", + " Birthdate Age College Experience Games Played MIN \\\n", + "0 January 17, 1994 23 Michigan State 2 8 173 \n", + "1 May 14, 1982 35 Duke 12 30 947 \n", + "2 October 27, 1990 26 Penn State 4 26 617 \n", + "3 December 11, 1988 28 Georgia Tech 6 31 721 \n", + "4 August 5, 1994 23 Baylor R 24 137 \n", + ".. ... ... ... ... ... ... \n", + "138 September 20, 1989 27 Connecticut 6 29 861 \n", + "139 April 26, 1985 32 Texas 9 22 127 \n", + "140 September 23, 1984 32 South Carolina 2 27 671 \n", + "141 May 12, 1988 29 Connecticut 8 29 952 \n", + "142 October 13, 1987 29 Nebraska 2 30 356 \n", + "\n", + " FGM FGA FG% 3PM 3PA 3P% FTM FTA FT% OREB DREB REB AST \\\n", + "0 30 85 35.3 12 32 37.5 21 26 80.8 6 22 28 12 \n", + "1 90 177 50.8 5 18 27.8 32 41 78.0 19 82 101 72 \n", + "2 82 218 37.6 19 64 29.7 35 42 83.3 4 36 40 78 \n", + "3 75 195 38.5 21 68 30.9 17 21 81.0 35 134 169 65 \n", + "4 16 50 32.0 7 20 35.0 11 12 91.7 3 9 12 12 \n", + ".. ... ... ... ... ... ... ... ... ... ... ... ... ... \n", + "138 144 331 43.5 43 112 38.4 136 161 84.5 28 89 117 69 \n", + "139 12 25 48.0 0 1 0.0 4 6 66.7 5 18 23 3 \n", + "140 83 238 34.9 17 69 24.6 94 102 92.2 16 70 86 39 \n", + "141 227 509 44.6 18 56 32.1 110 135 81.5 56 212 268 75 \n", + "142 59 140 42.1 11 47 23.4 22 28 78.6 11 13 24 30 \n", + "\n", + " STL BLK TO PTS DD2 TD3 \n", + "0 3 6 12 93 0 0 \n", + "1 63 13 40 217 0 0 \n", + "2 22 3 24 218 0 0 \n", + "3 20 10 38 188 2 0 \n", + "4 7 0 14 50 0 0 \n", + ".. ... ... .. ... ... ... \n", + "138 37 8 50 467 0 0 \n", + "139 1 3 8 28 0 0 \n", + "140 31 5 40 277 0 0 \n", + "141 21 22 71 582 11 0 \n", + "142 18 1 32 151 0 0 \n", + "\n", + "[142 rows x 32 columns]" + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "wnba= wnba.dropna()\n", + "wnba" ] }, { @@ -130,11 +1074,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ - "#your answer here" + "# where the value was improtant to our analysis and one column would be representative on the entire df" ] }, { @@ -147,11 +1091,54 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 120, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Name object\n", + "Team object\n", + "Pos object\n", + "Height int64\n", + "Weight float64\n", + "BMI float64\n", + "Birth_Place object\n", + "Birthdate object\n", + "Age int64\n", + "College object\n", + "Experience object\n", + "Games Played int64\n", + "MIN int64\n", + "FGM int64\n", + "FGA int64\n", + "FG% float64\n", + "3PM int64\n", + "3PA int64\n", + "3P% float64\n", + "FTM int64\n", + "FTA int64\n", + "FT% float64\n", + "OREB int64\n", + "DREB int64\n", + "REB int64\n", + "AST int64\n", + "STL int64\n", + "BLK int64\n", + "TO int64\n", + "PTS int64\n", + "DD2 int64\n", + "TD3 int64\n", + "dtype: object" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "wnba.dtypes" ] }, { @@ -170,11 +1157,532 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 121, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/_4/p643d6050rzf5fwbz9m36nyr0000gn/T/ipykernel_30330/1722146097.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " wnba['Weight'] = wnba['Weight'].apply(np.int64)\n" + ] + }, + { + "data": { + "text/html": [ + "
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
0Aerial PowersDALF1837121.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
1Alana BeardLAG/F1857321.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
2Alex BentleyCONG1706923.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F1858424.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
4Alexis JonesMING1757825.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
...................................................................................................
138Tiffany HayesATLG1787022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.52889117693785046700
139Tiffany JacksonLAF1918423.025685USApril 26, 198532Texas922127122548.0010.04666.75182331382800
140Tiffany MitchellINDG1756922.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.2167086393154027700
141Tina CharlesNYF/C1938422.550941USMay 12, 198829Connecticut82995222750944.6185632.111013581.55621226875212271582110
142Yvonne TurnerPHOG1755919.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.6111324301813215100
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" + ], + "text/plain": [ + " Name Team Pos Height Weight BMI Birth_Place \\\n", + "14 Aneika Henry ATL F/C 193 87 23.356332 JM \n", + "\n", + " Birthdate Age College Experience Games Played MIN FGM FGA \\\n", + "14 February 13, 1986 31 Florida 6 4 22 4 4 \n", + "\n", + " FG% 3PM 3PA 3P% FTM FTA FT% OREB DREB REB AST STL BLK TO \\\n", + "14 100.0 0 0 0.0 0 0 0.0 0 4 4 1 2 0 3 \n", + "\n", + " PTS DD2 TD3 \n", + "14 8 0 0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "display(wnba[wnba['Weight'] == wnba['Weight'].max()])\n", + "\n", + "display(wnba[wnba['Height'] == wnba['Height'].max()])\n", + "\n", + "display(wnba[wnba['3P%'] == wnba['3P%'].max()])\n", + "\n", + "display(wnba[wnba['FG%'] == wnba['FG%'].max()])" ] }, { @@ -89,11 +1261,86 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 60, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['BMI'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['Height'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['Weight'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "sns.displot(wnba['Age'])\n", + "plt.show()" ] }, { @@ -134,11 +1381,107 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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a9bwGp410ZIb6yg91ZPMatbe3O3L/ANDTuhTqnTt3dvccWrBggQ4fPqzdu3dfse/y+BtjOv0Hgdvtltvt7vb50LmBCSmKSxlx7QN7gK++xpH7BYBQseJrLhcuXKjNmzdr586dGjJkSOB6j8cj6Y+PrC9pbGy84lE2AAC9UZceUWdnZ1/1Ke4dO3Zc1+0YY7Rw4UJt2rRJ5eXlSktLC9qflpYmj8ejsrIy/cmf/Imkb95xXlFRoV/84hddGR0AgLDSpVBfen36kvPnz+vQoUM6cuTIFV/WcTXz58/Xhg0b9J//+Z+Kjo4OPHKOjY1VVFSUXC6XFi1apBUrVmj48OEaPny4VqxYof79+2vWrFldGR0AgLDSpVD/8z//c4fXFxQU6PTp09d9O8XFxZKkyZMnB12/du1azZkzR5L03HPPqa2tTc8880zgA0/ef/99RUdHd2V0AADCSpc/67sjs2fP1ve//3398pe/vK7jjTHXPMblcqmgoEAFBQU3OR0AAOGnW99M9uGHH+q2227rzpsEAKBP69Ij6kufEnaJMUb19fXav3//TX9aGQAA+KMuhTo2Njbo8i233KIRI0boxRdfDPoUMQAAcHO6FOq1a9d29xwAAKADN/VmsgMHDqiqqkoul0sZGRmB33UGAADdo0uhbmxs1GOPPaby8nJ95zvfkTFGLS0tys7OVklJiQYPHtzdcwIA0Cd16V3fCxculM/n09GjR/XVV1/p5MmTOnLkiHw+n5599tnunhEAgD6rS4+oS0tLtX37do0aNSpwXUZGhl577TXeTAYAQDfq0iPqixcvXvEd1JIUERGhixcv3vRQAADgG10K9ZQpU/R3f/d3+sMf/hC47osvvtDf//3f6wc/+EG3DQcAQF/XpVAXFRWptbVVQ4cO1R133KFhw4YpLS1Nra2t+td//dfunhEAgD6rS69RJycn6+OPP1ZZWZmOHTsmY4wyMjJ0//33d/d8AAD0aTf0iHrHjh3KyMiQz+eTJE2dOlULFy7Us88+q/Hjx2v06NH63e9+1yODAgDQF91QqFevXq25c+cqJibmin2xsbF66qmntGrVqm4bDgCAvu6GQv0///M/mjZtWqf7c3JydODAgZseCgAAfOOGQv3ll192+GtZl/Tr10//93//d9NDAQCAb9xQqG+//XZVVlZ2uv/w4cPyer03PRQAAPjGDYX6gQce0M9+9jN9/fXXV+xra2vTsmXL9OCDD3bbcAAA9HU39OtZ//iP/6h33nlH6enpWrBggUaMGCGXy6Wqqiq99tprunDhgpYuXdpTswIA0OfcUKgTExO1Z88ePf3008rPz5cxRpLkcrn053/+5/rVr36lxMTEHhkUAIC+6IY/8CQ1NVVbt27VyZMn9dlnn8kYo+HDh2vQoEE9MR8AAH1alz6ZTJIGDRqk8ePHd+csAADgMl36rG8AABAahBoAAIsRagAALEaoAQCwGKEGAMBihBoAAIsRagAALEaoAQCwGKEGAMBihBoAAIsRagAALEaoAQCwGKEGAMBihBoAAIsRagAALEaoAQCwGKEGAMBihBoAAIsRagAALEaoAQCwGKEGAMBijoZ6165dmj59upKSkuRyufTuu+8G7Z8zZ45cLlfQNnHiRGeGBQDAAY6G+syZMxo7dqyKioo6PWbatGmqr68PbFu3bg3hhAAAOKufk3eem5ur3Nzcqx7jdrvl8XhCNBEAAHax/jXq8vJyJSQkKD09XXPnzlVjY+NVj/f7/fL5fEEbAADhyupQ5+bm6q233tKOHTv0yiuvaN++fZoyZYr8fn+nP1NYWKjY2NjAlpycHMKJAQDoXo4+9X0tM2fODPw5MzNT48aNU2pqqrZs2aIZM2Z0+DP5+flavHhx4LLP5yPWAICwZXWoL+f1epWamqrjx493eozb7Zbb7Q7hVAAA9Byrn/q+XHNzs+rq6uT1ep0eBQCAkHD0EfXp06f12WefBS5XV1fr0KFDiouLU1xcnAoKCvToo4/K6/WqpqZGS5YsUXx8vB555BEHpwYAIHQcDfX+/fuVnZ0duHzpteW8vDwVFxersrJS69ev16lTp+T1epWdna2NGzcqOjraqZEBAAgpR0M9efJkGWM63b9t27YQTgMAgH3C6jVqAAD6GkINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWMzRUO/atUvTp09XUlKSXC6X3n333aD9xhgVFBQoKSlJUVFRmjx5so4ePerMsAAAOMDRUJ85c0Zjx45VUVFRh/tffvllrVq1SkVFRdq3b588Ho+mTp2q1tbWEE8KAIAz+jl557m5ucrNze1wnzFGq1ev1tKlSzVjxgxJ0rp165SYmKgNGzboqaeeCuWoAAA4wtrXqKurq9XQ0KCcnJzAdW63W/fdd5/27NnT6c/5/X75fL6gDQCAcGVtqBsaGiRJiYmJQdcnJiYG9nWksLBQsbGxgS05OblH5wQAoCdZG+pLXC5X0GVjzBXXfVt+fr5aWloCW11dXU+PCABAj3H0Neqr8Xg8kr55ZO31egPXNzY2XvEo+9vcbrfcbnePzwcAQChY+4g6LS1NHo9HZWVlgevOnTuniooKTZo0ycHJAAAIHUcfUZ8+fVqfffZZ4HJ1dbUOHTqkuLg4paSkaNGiRVqxYoWGDx+u4cOHa8WKFerfv79mzZrl4NQAAISOo6Hev3+/srOzA5cXL14sScrLy9Obb76p5557Tm1tbXrmmWd08uRJTZgwQe+//76io6OdGhkAgJByNNSTJ0+WMabT/S6XSwUFBSooKAjdUAAAWMTa16gBAAChBgDAaoQaAACLWft71AC6pra2Vk1NTU6Pofj4eKWkpDg9BhD2CDXQi9TW1mrkyFFqazvr9CiKiuqvY8eqiDVwkwg10Is0NTWpre2sJjyxTDHeoY7N4auv0UdvLFdTUxOhBm4SoQZ6oRjvUMWljHB6DADdgDeTAQBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDF+jk9ANCbVFVV9en7B9D9CDXQDdpamiW5NHv2bKdHkSSd959zegQA3YRQA93g/NlWSUZ3zXpeg9NGOjZHfeWHOrJ5jdrb2x2bAUD3ItRANxqYkKK4lBGO3b+vvsax+wbQM3gzGQAAFiPUAABYjFADAGAxQg0AgMUINQAAFiPUAABYjFADAGAxQg0AgMUINQAAFiPUAABYjFADAGAxQg0AgMUINQAAFiPUAABYjFADAGAxq0NdUFAgl8sVtHk8HqfHAgAgZPo5PcC1jB49Wtu3bw9cvvXWWx2cBgCA0LI+1P369eNRNACgz7L6qW9JOn78uJKSkpSWlqbHHntMJ06cuOrxfr9fPp8vaAMAIFxZHeoJEyZo/fr12rZtm37zm9+ooaFBkyZNUnNzc6c/U1hYqNjY2MCWnJwcwokBAOheVoc6NzdXjz76qO68807df//92rJliyRp3bp1nf5Mfn6+WlpaAltdXV2oxgUAoNtZ/xr1tw0YMEB33nmnjh8/3ukxbrdbbrc7hFMBANBzrH5EfTm/36+qqip5vV6nRwEAICSsDvVPfvITVVRUqLq6Wh999JH+8i//Uj6fT3l5eU6PBgBASFj91Pfvf/97/fCHP1RTU5MGDx6siRMnau/evUpNTXV6NAAAQsLqUJeUlDg9AgAAjrL6qW8AAPo6Qg0AgMUINQAAFrP6NWoA4a2qqsrpERQfH6+UlBSnx1Btba2ampqcHsOavw9cP0INoNu1tTRLcmn27NlOj6KoqP46dqzK0TjV1tZq5MhRams769gMl9jw94EbQ6gBdLvzZ1slGd0163kNThvp2By++hp99MZyNTU1ORqmpqYmtbWd1YQnlinGO9SxOWz5+8CNIdQAeszAhBTFpYxwegxrxHiH8veBG8abyQAAsBihBgDAYoQaAACLEWoAACxGqAEAsBihBgDAYoQaAACL8XvUAHo9pz/K1On7R3gj1AB6LZs+ylSSzvvPOT0CwhChBtBr2fJRpvWVH+rI5jVqb293bAaEL0INoNdz+qNMffU1jt03wh9vJgMAwGKEGgAAixFqAAAsRqgBALAYoQYAwGKEGgAAixFqAAAsRqgBALAYoQYAwGKEGgAAixFqAAAsRqgBALAYoQYAwGKEGgAAixFqAAAsRqgBALAYoQYAwGKEGgAAi/VzegAAQGhVVVU5PYL8fr/cbrfTYyg+Pl4pKSlOj3FVhBoA+oi2lmZJLs2ePdvpUSSXSzLG6SkUFdVfx45VWR1rQg0AfcT5s62SjO6a9bwGp410bI76yg91ZPMax+fw1dfoozeWq6mpiVADAOwxMCFFcSkjHLt/X32NFXOEC95MBgCAxQg1AAAWI9QAAFiMUAMAYLGwCPWvfvUrpaWl6bbbbtPdd9+t3/3ud06PBABASFgf6o0bN2rRokVaunSpDh48qD/7sz9Tbm6uamtrnR4NAIAeZ32oV61apR/96Ed68sknNWrUKK1evVrJyckqLi52ejQAAHqc1b9Hfe7cOR04cEA//elPg67PycnRnj17OvwZv98vv98fuNzS0iJJ8vl8Nz3P6dOnJUlfff6p2v1tN317XeWr/1yS1PLFcUX0c/XpOWyYgTmYgznCdI6Gb56ZPX36dLc0Ijo6Wi5XD6zHWOyLL74wksx///d/B13/0ksvmfT09A5/ZtmyZUYSGxsbGxtbSLfGxsYeaaHVj6gvufxfKMaYTv/Vkp+fr8WLFwcuX7x4UV999ZW++93vdulfOj6fT8nJyaqrq1NMTMwN/3w46O1rZH3hjfWFv96+xkvri4yM7JHbtzrU8fHxuvXWW9XQ0BB0fWNjoxITEzv8GbfbfcU3snznO9+56VliYmJ65X9g39bb18j6whvrC3+9fY098rS3LH8zWWRkpO6++26VlZUFXV9WVqZJkyY5NBUAAKFj9SNqSVq8eLEef/xxjRs3TllZWVqzZo1qa2s1b948p0cDAKDHWR/qmTNnqrm5WS+++KLq6+uVmZmprVu3KjU1NST373a7tWzZMiu+4Lyn9PY1sr7wxvrCX29fY0+vz2WMBd/cDQAAOmT1a9QAAPR1hBoAAIsRagAALEaoAQCwGKG+ht7yFZsFBQVyuVxBm8fjCew3xqigoEBJSUmKiorS5MmTdfToUQcnvrpdu3Zp+vTpSkpKksvl0rvvvhu0/3rW4/f7tXDhQsXHx2vAgAH6i7/4C/3+978P4So6d631zZkz54rzOXHixKBjbF5fYWGhxo8fr+joaCUkJOjhhx/Wp59+GnRMOJ/D61lfOJ/D4uJijRkzJvABJllZWXrvvfcC+8P53EnXXl+ozx2hvore9hWbo0ePVn19fWCrrKwM7Hv55Ze1atUqFRUVad++ffJ4PJo6dapaW1sdnLhzZ86c0dixY1VUVNTh/utZz6JFi7Rp0yaVlJRo9+7dOn36tB588EFduHAhVMvo1LXWJ0nTpk0LOp9bt24N2m/z+ioqKjR//nzt3btXZWVlam9vV05Ojs6cORM4JpzP4fWsTwrfczhkyBCtXLlS+/fv1/79+zVlyhQ99NBDgRiH87mTrr0+KcTnrkc+QbyX+P73v2/mzZsXdN3IkSPNT3/6U4cm6rply5aZsWPHdrjv4sWLxuPxmJUrVwau+/rrr01sbKz59a9/HaIJu06S2bRpU+Dy9azn1KlTJiIiwpSUlASO+eKLL8wtt9xiSktLQzb79bh8fcYYk5eXZx566KFOfyac1meMMY2NjUaSqaioMMb0vnN4+fqM6X3ncNCgQea3v/1trzt3l1xanzGhP3c8ou7Epa/YzMnJCbr+al+xabvjx48rKSlJaWlpeuyxx3TixAlJUnV1tRoaGoLW6na7dd9994XlWq9nPQcOHND58+eDjklKSlJmZmbYrLm8vFwJCQlKT0/X3Llz1djYGNgXbuu79HW0cXFxknrfObx8fZf0hnN44cIFlZSU6MyZM8rKyup15+7y9V0SynNn/SeTOaWpqUkXLly44ss/EhMTr/iSkHAwYcIErV+/Xunp6fryyy/185//XJMmTdLRo0cD6+lorZ9//rkT496U61lPQ0ODIiMjNWjQoCuOCYfzm5ubq7/6q79Samqqqqur9cILL2jKlCk6cOCA3G53WK3PGKPFixfrnnvuUWZmpqTedQ47Wp8U/uewsrJSWVlZ+vrrrzVw4EBt2rRJGRkZgRCF+7nrbH1S6M8dob6GG/mKTZvl5uYG/nznnXcqKytLd9xxh9atWxd4E0RvWeslXVlPuKx55syZgT9nZmZq3LhxSk1N1ZYtWzRjxoxOf87G9S1YsECHDx/W7t27r9jXG85hZ+sL93M4YsQIHTp0SKdOndLbb7+tvLw8VVRUBPaH+7nrbH0ZGRkhP3c89d2JrnzFZjgZMGCA7rzzTh0/fjzw7u/estbrWY/H49G5c+d08uTJTo8JJ16vV6mpqTp+/Lik8FnfwoULtXnzZu3cuVNDhgwJXN9bzmFn6+tIuJ3DyMhIDRs2TOPGjVNhYaHGjh2rV199tdecu87W15GePneEuhO9/Ss2/X6/qqqq5PV6lZaWJo/HE7TWc+fOqaKiIizXej3rufvuuxURERF0TH19vY4cORKWa25ublZdXZ28Xq8k+9dnjNGCBQv0zjvvaMeOHUpLSwvaH+7n8Frr60i4ncPLGWPk9/vD/tx15tL6OtLj5+6G337Wh5SUlJiIiAjz+uuvm08++cQsWrTIDBgwwNTU1Dg92g378Y9/bMrLy82JEyfM3r17zYMPPmiio6MDa1m5cqWJjY0177zzjqmsrDQ//OEPjdfrNT6fz+HJO9ba2moOHjxoDh48aCSZVatWmYMHD5rPP//cGHN965k3b54ZMmSI2b59u/n444/NlClTzNixY017e7tTywq42vpaW1vNj3/8Y7Nnzx5TXV1tdu7cabKyssztt98eNut7+umnTWxsrCkvLzf19fWB7ezZs4FjwvkcXmt94X4O8/Pzza5du0x1dbU5fPiwWbJkibnlllvM+++/b4wJ73NnzNXX58S5I9TX8Nprr5nU1FQTGRlp/vRP/zTo1yvCycyZM43X6zUREREmKSnJzJgxwxw9ejSw/+LFi2bZsmXG4/EYt9tt7r33XlNZWengxFe3c+dOI+mKLS8vzxhzfetpa2szCxYsMHFxcSYqKso8+OCDpra21oHVXOlq6zt79qzJyckxgwcPNhERESYlJcXk5eVdMbvN6+tobZLM2rVrA8eE8zm81vrC/Rw+8cQTgf8vDh482PzgBz8IRNqY8D53xlx9fU6cO77mEgAAi/EaNQAAFiPUAABYjFADAGAxQg0AgMUINQAAFiPUAABYjFADAGAxQg0AgMUINQAAFiPUQB8wZ84cuVwuuVwu9evXTykpKXr66aeDvt1n6NChgWO+va1cuVKSVFNTE3T9pW8X+vnPfy4+4BDoOXwfNdBHTJs2TWvXrlV7e7s++eQTPfHEEzp16pT+4z/+I3DMiy++qLlz5wb9XHR0dNDl7du3a/To0fL7/dq9e7eefPJJeb1e/ehHPwrJOoC+hlADfYTb7Q58V/CQIUM0c+ZMvfnmm0HHREdHB47pzHe/+93AMampqXrjjTf08ccfE2qgh/DUN9AHnThxQqWlpYqIiLip29m/f78+/vhjTZgwoZsmA3A5Qg30Ef/1X/+lgQMHKioqSnfccYc++eQTPf/880HHPP/88xo4cGDQVl5eHnTMpEmTNHDgQEVGRmr8+PH667/+a/3N3/xNCFcC9C089Q30EdnZ2SouLtbZs2f129/+Vv/7v/+rhQsXBh3zD//wD5ozZ07QdbfffnvQ5Y0bN2rUqFE6f/68Kisr9eyzz2rQoEGBN50B6F6EGugjBgwYoGHDhkmS/uVf/kXZ2dlavny5/umf/ilwTHx8fOCYziQnJweOGTVqlE6cOKEXXnhBBQUFuu2223puAUAfxVPfQB+1bNky/fKXv9Qf/vCHm7qdW2+9Ve3t7Tp37lw3TQbg23hEDfRRkydP1ujRo7VixQoVFRVJklpbW9XQ0BB0XP/+/RUTExO43NzcrIaGBrW3t6uyslKvvvqqsrOzg44B0H14RA30YYsXL9ZvfvMb1dXVSZJ+9rOfyev1Bm3PPfdc0M/cf//98nq9Gjp0qP72b/9WDzzwgDZu3OjE+ECf4DJ8pBAAANbiETUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgMUINAIDFCDUAABYj1AAAWIxQAwBgsf8H/eer7BIbL/EAAAAASUVORK5CYII=\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['REB'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['AST'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(wnba['PTS'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "sns.displot(wnba['BLK'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3rebperminrebpergameastpergameblkpergamestlpergameptspergame
0Aerial PowersDALF1837121.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.86222812361293000.1618503.51.50.81.511.6
1Alana BeardLAG/F1857321.329438USMay 14, 198235Duke12309479017750.851827.8324178.0198210172631340217000.1066533.42.40.42.47.2
2Alex BentleyCONG1706923.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.3436407822324218000.0648301.53.00.13.08.4
3Alex MontgomerySANG/F1858424.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.03513416965201038188200.2343975.52.10.32.16.1
4Alexis JonesMING1757825.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.7391212701450000.0875910.50.50.00.52.1
.....................................................................................................................
137Tiffany HayesATLG1787022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.528891176937850467000.1358894.02.40.32.416.1
138Tiffany JacksonLAF1918423.025685USApril 26, 198532Texas922127122548.0010.04666.751823313828000.1811021.00.10.10.11.3
139Tiffany MitchellINDG1756922.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.21670863931540277000.1281673.21.40.21.410.3
140Tina CharlesNYF/C1938422.550941USMay 12, 198829Connecticut82995222750944.6185632.111013581.556212268752122715821100.2815139.22.60.82.620.1
141Yvonne TurnerPHOG1755919.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.61113243018132151000.0674160.81.00.01.05.0
\n", + "

142 rows × 38 columns

\n", + "
" + ], + "text/plain": [ + " Name Team Pos Height Weight BMI Birth_Place \\\n", + "0 Aerial Powers DAL F 183 71 21.200991 US \n", + "1 Alana Beard LA G/F 185 73 21.329438 US \n", + "2 Alex Bentley CON G 170 69 23.875433 US \n", + "3 Alex Montgomery SAN G/F 185 84 24.543462 US \n", + "4 Alexis Jones MIN G 175 78 25.469388 US \n", + ".. ... ... ... ... ... ... ... \n", + "137 Tiffany Hayes ATL G 178 70 22.093170 US \n", + "138 Tiffany Jackson LA F 191 84 23.025685 US \n", + "139 Tiffany Mitchell IND G 175 69 22.530612 US \n", + "140 Tina Charles NY F/C 193 84 22.550941 US \n", + "141 Yvonne Turner PHO G 175 59 19.265306 US \n", + "\n", + " Birthdate Age College Experience Games Played MIN \\\n", + "0 January 17, 1994 23 Michigan State 2 8 173 \n", + "1 May 14, 1982 35 Duke 12 30 947 \n", + "2 October 27, 1990 26 Penn State 4 26 617 \n", + "3 December 11, 1988 28 Georgia Tech 6 31 721 \n", + "4 August 5, 1994 23 Baylor R 24 137 \n", + ".. ... ... ... ... ... ... \n", + "137 September 20, 1989 27 Connecticut 6 29 861 \n", + "138 April 26, 1985 32 Texas 9 22 127 \n", + "139 September 23, 1984 32 South Carolina 2 27 671 \n", + "140 May 12, 1988 29 Connecticut 8 29 952 \n", + "141 October 13, 1987 29 Nebraska 2 30 356 \n", + "\n", + " FGM FGA FG% 3PM 3PA 3P% FTM FTA FT% OREB DREB REB AST \\\n", + "0 30 85 35.3 12 32 37.5 21 26 80.8 6 22 28 12 \n", + "1 90 177 50.8 5 18 27.8 32 41 78.0 19 82 101 72 \n", + "2 82 218 37.6 19 64 29.7 35 42 83.3 4 36 40 78 \n", + "3 75 195 38.5 21 68 30.9 17 21 81.0 35 134 169 65 \n", + "4 16 50 32.0 7 20 35.0 11 12 91.7 3 9 12 12 \n", + ".. ... ... ... ... ... ... ... ... ... ... ... ... ... \n", + "137 144 331 43.5 43 112 38.4 136 161 84.5 28 89 117 69 \n", + "138 12 25 48.0 0 1 0.0 4 6 66.7 5 18 23 3 \n", + "139 83 238 34.9 17 69 24.6 94 102 92.2 16 70 86 39 \n", + "140 227 509 44.6 18 56 32.1 110 135 81.5 56 212 268 75 \n", + "141 59 140 42.1 11 47 23.4 22 28 78.6 11 13 24 30 \n", + "\n", + " STL BLK TO PTS DD2 TD3 rebpermin rebpergame astpergame \\\n", + "0 3 6 12 93 0 0 0.161850 3.5 1.5 \n", + "1 63 13 40 217 0 0 0.106653 3.4 2.4 \n", + "2 22 3 24 218 0 0 0.064830 1.5 3.0 \n", + "3 20 10 38 188 2 0 0.234397 5.5 2.1 \n", + "4 7 0 14 50 0 0 0.087591 0.5 0.5 \n", + ".. ... ... .. ... ... ... ... ... ... \n", + "137 37 8 50 467 0 0 0.135889 4.0 2.4 \n", + "138 1 3 8 28 0 0 0.181102 1.0 0.1 \n", + "139 31 5 40 277 0 0 0.128167 3.2 1.4 \n", + "140 21 22 71 582 11 0 0.281513 9.2 2.6 \n", + "141 18 1 32 151 0 0 0.067416 0.8 1.0 \n", + "\n", + " blkpergame stlpergame ptspergame \n", + "0 0.8 1.5 11.6 \n", + "1 0.4 2.4 7.2 \n", + "2 0.1 3.0 8.4 \n", + "3 0.3 2.1 6.1 \n", + "4 0.0 0.5 2.1 \n", + ".. ... ... ... \n", + "137 0.3 2.4 16.1 \n", + "138 0.1 0.1 1.3 \n", + "139 0.2 1.4 10.3 \n", + "140 0.8 2.6 20.1 \n", + "141 0.0 1.0 5.0 \n", + "\n", + "[142 rows x 38 columns]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "wnba['rebpergame'] = round(wnba['REB']/wnba['Games Played'],1)\n", + "wnba['astpergame'] = round(wnba['AST']/wnba['Games Played'],1)\n", + "wnba['blkpergame'] = round(wnba['BLK']/wnba['Games Played'],1)\n", + "wnba['stlpergame'] = round(wnba['AST']/wnba['Games Played'],1)\n", + "wnba['ptspergame'] = round(wnba['PTS']/wnba['Games Played'],1)\n", + "wnba" ] }, { @@ -218,17 +2158,77 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "75.82887323943662" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your comments here" + "wnba['FT%'].values.mean() #false. 75% doesnt fail" ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "44.514084507042256" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wnba['AST'].values.mean() #false. in the wnba the value is lower" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "70.0677966101695\n", + "22.494378600677965\n" + ] + } + ], + "source": [ + "print(wnba[wnba['Pos'] == 'G']['Weight'].values.mean())\n", + "print(wnba[wnba['Pos'] == 'G']['BMI'].values.mean())\n", + "\n", + "#the average women playing in the pos where they'rem ore likely to be skinne weights 70kg with a bmi of 22%\n", + "#need more information on the sister" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -242,7 +2242,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/your-code/3.-Inferential-Analysis.ipynb b/your-code/3.-Inferential-Analysis.ipynb index 366765b..756c344 100644 --- a/your-code/3.-Inferential-Analysis.ipynb +++ b/your-code/3.-Inferential-Analysis.ipynb @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -29,7 +29,7 @@ "import math\n", "import pandas as pd\n", "import numpy as np\n", - "from scipy import stats\n", + "import scipy.stats as st\n", "import matplotlib.pyplot as plt\n", "from scipy.stats import ttest_1samp\n", "pd.set_option('display.max_columns', 50)" @@ -46,11 +46,283 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#your code here" + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
0Aerial PowersDALF1837121.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
1Alana BeardLAG/F1857321.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
2Alex BentleyCONG1706923.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F1858424.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
4Alexis JonesMING1757825.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
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" + ], + "text/plain": [ + " Name Team Pos Height Weight BMI Birth_Place \\\n", + "0 Aerial Powers DAL F 183 71 21.200991 US \n", + "1 Alana Beard LA G/F 185 73 21.329438 US \n", + "2 Alex Bentley CON G 170 69 23.875433 US \n", + "3 Alex Montgomery SAN G/F 185 84 24.543462 US \n", + "4 Alexis Jones MIN G 175 78 25.469388 US \n", + "\n", + " Birthdate Age College Experience Games Played MIN FGM \\\n", + "0 January 17, 1994 23 Michigan State 2 8 173 30 \n", + "1 May 14, 1982 35 Duke 12 30 947 90 \n", + "2 October 27, 1990 26 Penn State 4 26 617 82 \n", + "3 December 11, 1988 28 Georgia Tech 6 31 721 75 \n", + "4 August 5, 1994 23 Baylor R 24 137 16 \n", + "\n", + " FGA FG% 3PM 3PA 3P% FTM FTA FT% OREB DREB REB AST STL BLK \\\n", + "0 85 35.3 12 32 37.5 21 26 80.8 6 22 28 12 3 6 \n", + "1 177 50.8 5 18 27.8 32 41 78.0 19 82 101 72 63 13 \n", + "2 218 37.6 19 64 29.7 35 42 83.3 4 36 40 78 22 3 \n", + "3 195 38.5 21 68 30.9 17 21 81.0 35 134 169 65 20 10 \n", + "4 50 32.0 7 20 35.0 11 12 91.7 3 9 12 12 7 0 \n", + "\n", + " TO PTS DD2 TD3 \n", + "0 12 93 0 0 \n", + "1 40 217 0 0 \n", + "2 24 218 0 0 \n", + "3 38 188 2 0 \n", + "4 14 50 0 0 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wnba = pd.read_csv('wnba_cleaned.csv')\n", + "\n", + "wnba.head()" ] }, { @@ -70,11 +342,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "# your answer here" + "# the sample must have a proportional number of player by position. guards are lighter than centers, for example. \n", + "# even though, guards are the lighter and sister is light as well\n", + "# a sample of 100 players must be fair, because it means we would have 10 teams \n", + "# we'll assume that the players per pos is evenly distributed and it's representative" ] }, { @@ -86,11 +361,41 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here" + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "superior limit: 80.89417227560538\n", + "inferior limit: 76.60582772439462\n", + "superior limit: 73.67016969455337\n", + "inferior limit: 67.44983030544664\n" + ] + } + ], + "source": [ + "### sample for all players\n", + "n=100\n", + "wnba_sample = wnba.sample(n)\n", + "weight_mean = wnba_sample['Weight'].mean()\n", + "weight_std = wnba_sample['Weight'].std(ddof=1)\n", + "\n", + "# confidence for 95.5%\n", + "print('superior limit: ', weight_mean + 2* (weight_std/np.sqrt(n)))\n", + "print('inferior limit: ', weight_mean - 2* (weight_std/np.sqrt(n)))\n", + "\n", + "\n", + "### sample for guards\n", + "n = 50\n", + "guards = wnba[wnba['Pos'] == 'G'].sample(n)\n", + "\n", + "guards_mean = guards['Weight'].mean()\n", + "guards_std = wnba['Weight'].std(ddof=1)\n", + "\n", + "print('superior limit: ', guards_mean + 2* (guards_std/np.sqrt(n)))\n", + "print('inferior limit: ', guards_mean - 2* (guards_std/np.sqrt(n)))" ] }, { @@ -102,11 +407,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "# the superior for a sample that gathers players from every position has a inferior limit that's higher\n", + "# than the superior limit for a sample of guards, that are the lightest player usually\n" ] }, { @@ -118,11 +424,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "# so, sister weights 67kg and the inferior limit for the interval for guards is 66kg. unless she's not guard\n", + "# she can have a small probability of making it taking into account only her weight" ] }, { @@ -134,7 +441,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -154,11 +461,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ - "# your answer here" + "# to miss 40% or more the FT% column has to be 60 or less" ] }, { @@ -170,11 +477,24 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "superior limit: 80.61656736770688\n", + "inferior limit: 69.84743263229312\n" + ] + } + ], "source": [ - "# your code here" + "ft_mean = wnba_sample['FT%'].mean()\n", + "ft_std = wnba_sample['FT%'].std(ddof = 1)\n", + " \n", + "print('superior limit: ', ft_mean + 2* (ft_std/np.sqrt(n)))\n", + "print('inferior limit: ', ft_mean - 2* (ft_std/np.sqrt(n)))" ] }, { @@ -186,11 +506,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#this means 95% has ft% higher than 70%. so, 95% fails 30% or less. i would say sis is wrong" ] }, { @@ -202,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -227,11 +547,24 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 38, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "47.45" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your-answer-here" + "#since 52 is not the avergae per game, the value we have is ok and we dont need to\n", + "# manipulate the df, just calculate mean and std\n", + "wnba_sample['AST'].mean()" ] }, { @@ -243,36 +576,45 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "#your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "#your-answer-here" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Now use a one-tailed one-sample t-test to see if we can reject (or not) the null hypothesis with a 95% confidence level.**" + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "accept the hyp\n" + ] + } + ], + "source": [ + "n = 30\n", + "alpha = 0.05\n", + "mu= 52\n", + "\n", + "astmean = wnba_sample['AST'].mean()\n", + "aststd = wnba_sample['AST'].std(ddof=1)\n", + "\n", + "stat = (astmean - mu) / (aststd/np.sqrt(n))\n", + "\n", + "#get p value\n", + "p_value = st.t.sf(abs(stat), 30-1) * 2\n", + "\n", + "#evaluate pvalue\n", + "\n", + "if p_value > alpha:\n", + " print('accept the hyp')\n", + "else:\n", + " print(\"don't\")" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#we accept it" ] }, { @@ -284,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -308,7 +650,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -317,7 +659,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -333,7 +675,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -343,7 +685,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -357,7 +699,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/your-code/wnba.csv b/your-code/wnba.csv new file mode 100644 index 0000000..0e35127 --- /dev/null +++ b/your-code/wnba.csv @@ -0,0 +1,144 @@ +Name,Team,Pos,Height,Weight,BMI,Birth_Place,Birthdate,Age,College,Experience,Games Played,MIN,FGM,FGA,FG%,3PM,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TO,PTS,DD2,TD3 +Aerial Powers,DAL,F,183,71,21.20099137,US,"January 17, 1994",23,Michigan State,2,8,173,30,85,35.3,12,32,37.5,21,26,80.8,6,22,28,12,3,6,12,93,0,0 +Alana Beard,LA,G/F,185,73,21.32943755,US,"May 14, 1982",35,Duke,12,30,947,90,177,50.8,5,18,27.8,32,41,78.0,19,82,101,72,63,13,40,217,0,0 +Alex Bentley,CON,G,170,69,23.87543253,US,"October 27, 1990",26,Penn State,4,26,617,82,218,37.6,19,64,29.7,35,42,83.3,4,36,40,78,22,3,24,218,0,0 +Alex Montgomery,SAN,G/F,185,84,24.54346238,US,"December 11, 1988",28,Georgia Tech,6,31,721,75,195,38.5,21,68,30.9,17,21,81.0,35,134,169,65,20,10,38,188,2,0 +Alexis Jones,MIN,G,175,78,25.46938776,US,"August 5, 1994",23,Baylor,R,24,137,16,50,32.0,7,20,35.0,11,12,91.7,3,9,12,12,7,0,14,50,0,0 +Alexis Peterson,SEA,G,170,63,21.79930796,US,"June 20, 1995",22,Syracuse,R,14,90,9,34,26.5,2,9,22.2,6,6,100,3,13,16,11,5,0,11,26,0,0 +Alexis Prince,PHO,G,188,81,22.91760978,US,"February 5, 1994",23,Baylor,R,16,112,9,34,26.5,4,15,26.7,2,2,100,1,14,15,5,4,3,3,24,0,0 +Allie Quigley,CHI,G,178,64,20.19946976,US,"June 20, 1986",31,DePaul,8,26,847,166,319,52.0,70,150,46.7,40,46,87.0,9,83,92,95,20,13,59,442,0,0 +Allisha Gray,DAL,G,185,76,22.20598977,US,"October 20, 1992",24,South Carolina,2,30,834,131,346,37.9,29,103,28.2,104,129,80.6,52,75,127,40,47,19,37,395,0,0 +Allison Hightower,WAS,G,178,77,24.30248706,US,"June 4, 1988",29,LSU,5,7,103,14,38,36.8,2,11,18.2,6,6,100,3,7,10,10,5,0,2,36,0,0 +Alysha Clark,SEA,F,180,76,23.45679012,US,"July 7, 1987",30,Middle Tennessee,6,30,843,93,183,50.8,20,62,32.3,38,51,74.5,29,97,126,50,22,4,32,244,0,0 +Alyssa Thomas,CON,F,188,84,23.76641014,US,"December 4, 1992",24,Maryland,3,28,833,154,303,50.8,0,3,0.0,91,158,57.6,34,158,192,136,48,11,87,399,4,0 +Amanda Zahui B.,NY,C,196,113,29.41482716,SE,"August 9, 1993",24,Minnesota,3,25,133,20,53,37.7,2,8,25.0,9,12,75.0,5,18,23,7,4,5,12,51,0,0 +Amber Harris,CHI,F,196,88,22.90712203,US,"January 16, 1988",29,Xavier,3,22,146,18,44,40.9,0,10,0.0,5,8,62.5,12,28,40,5,3,9,6,41,0,0 +Aneika Henry,ATL,F/C,193,87,23.35633171,JM,"February 13, 1986",31,Florida,6,4,22,4,4,100,0,0,0.0,0,0,0.0,0,4,4,1,2,0,3,8,0,0 +Angel Robinson,PHO,F/C,198,88,22.44668911,US,"August 30, 1995",21,Arizona State,1,15,237,25,44,56.8,1,1,100,7,7,100,16,42,58,8,1,11,16,58,0,0 +Asia Taylor,WAS,F,185,76,22.20598977,US,"August 22, 1991",26,Louisville,3,20,128,10,31,32.3,0,0,0.0,11,18,61.1,16,21,37,9,5,2,10,31,0,0 +Bashaara Graves,CHI,F,188,91,25.74694432,US,"March 17, 1994",23,Tennessee,1,5,59,8,14,57.1,0,0,0.0,3,4,75.0,4,13,17,3,0,1,3,19,0,0 +Breanna Lewis,DAL,C,196,93,24.20866306,US,"June 22, 1994",23,Kansas State,R,12,50,2,12,16.7,0,0,0.0,3,4,75.0,2,7,9,2,0,0,7,7,0,0 +Breanna Stewart,SEA,F/C,193,77,20.67169588,US,"August 27, 1994",22,Connecticut,2,29,952,201,417,48.2,46,123,37.4,136,171,79.5,43,206,249,78,29,47,68,584,8,0 +Bria Hartley,NY,G,173,66,22.05219018,US,"September 30, 1992",24,Connecticut,4,29,598,80,192,41.7,32,93,34.4,25,33,75.8,7,50,57,58,15,5,44,217,0,0 +Bria Holmes,ATL,G,185,77,22.49817385,US,"April 19, 1994",23,West Virginia,R,28,655,85,231,36.8,9,50,18.0,56,84,66.7,29,56,85,52,23,7,31,235,0,0 +Briann January,IND,G,173,65,21.71806609,US,"November 1, 1987",29,Arizona State,9,25,657,81,205,39.5,18,57,31.6,58,71,81.7,12,25,37,98,23,4,53,238,0,0 +Brionna Jones,CON,F,191,104,28.50799046,US,"December 18, 1995",21,Maryland,R,19,112,14,26,53.8,0,0,0.0,16,19,84.2,11,14,25,2,7,1,7,44,0,0 +Brittany Boyd,NY,G,175,71,23.18367347,US,"November 6, 1993",23,UC Berkeley,3,2,32,9,15,60.0,0,1,0.0,8,11,72.7,3,5,8,5,3,0,2,26,0,0 +Brittney Griner,PHO,C,206,93,21.91535489,US,"October 18, 1990",26,Baylor,5,22,682,167,293,57.0,0,0,0.0,127,154,82.5,43,129,172,39,13,54,52,461,6,0 +Brittney Sykes,ATL,G,175,66,21.55102041,US,"July 2, 1994",23,Rutgers,10,30,734,146,362,40.3,29,87,33.3,76,102,74.5,25,94,119,59,18,17,49,397,1,0 +Camille Little,PHO,F,188,82,23.20054323,US,"January 18, 1985",32,North Carolina,11,30,759,93,219,42.5,9,52,17.3,33,52,63.5,42,71,113,42,28,13,50,228,0,0 +Candace Parker,LA,F/C,193,79,21.20862305,US,"April 19, 1986",31,Tennessee,10,29,889,183,383,47.8,40,114,35.1,88,115,76.5,37,205,242,127,43,53,80,494,10,1 +Candice Dupree,IND,F,188,81,22.91760978,US,"February 25, 1984",33,Temple,12,29,911,189,370,51.1,0,2,0.0,57,65,87.7,31,124,155,47,28,12,42,435,2,0 +Cappie Pondexter,CHI,G,175,73,23.83673469,US,"July 1, 1983",34,Rutgers,11,24,676,94,258,36.4,8,32,25.0,54,67,80.6,10,59,69,104,17,5,56,250,2,0 +Carolyn Swords,SEA,C,198,95,24.2322212,US,"July 19, 1989",28,Boston College,6,26,218,19,39,48.7,0,0,0.0,16,20,80.0,10,29,39,9,5,4,22,54,0,0 +Cayla George,PHO,C,193,87,23.35633171,AU,"April 20, 1987",30,Georgia,1,28,365,40,105,38.1,13,45,28.9,7,12,58.3,10,71,81,15,9,11,13,100,1,0 +Chelsea Gray,LA,G,180,77,23.7654321,US,"August 10, 1992",25,Duke,3,30,996,165,326,50.6,48,100,48.0,78,94,83.0,19,80,99,132,29,7,61,456,1,0 +Cheyenne Parker,CHI,F,193,86,23.08786813,US,"August 22, 1992",25,Middle Tennessee,2,23,286,32,69,46.4,0,3,0.0,23,36,63.9,31,47,78,13,8,15,21,87,0,0 +Clarissa dos Santos,SAN,C,185,89,26.00438276,BR,"October 3, 1988",28,Brazil,4,7,52,8,14,57.1,1,1,100,0,0,0.0,3,7,10,7,1,1,5,17,0,0 +Courtney Paris,DAL,C,193,113,30.33638487,US,"September 21, 1987",29,Oklahoma,7,16,217,32,57,56.1,0,0,0.0,6,12,50.0,28,34,62,5,6,8,18,70,0,0 +Courtney Vandersloot,CHI,G,173,66,22.05219018,US,"August 2, 1989",28,Gonzaga,6,22,673,104,199,52.3,23,60,38.3,24,29,82.8,13,75,88,175,22,5,64,255,10,0 +Courtney Williams,CON,G,173,62,20.71569381,US,"November 5, 1994",22,South Florida,1,29,755,168,338,49.7,8,30,26.7,31,36,86.1,38,84,122,60,15,6,39,375,1,0 +Crystal Langhorne,SEA,F/C,188,84,23.76641014,US,"October 27, 1986",30,Maryland,10,30,848,160,240,66.7,1,2,50.0,49,68,72.1,35,140,175,46,16,11,50,370,2,0 +Damiris Dantas,ATL,C,191,89,24.39626107,BR,"November 17, 1992",24,Brazil,4,30,569,98,243,40.3,25,91,27.5,33,43,76.7,29,84,113,19,17,18,26,254,0,0 +Danielle Adams,CON,F/C,185,108,31.5558802,US,"February 19, 1989",28,Texas A&M,5,18,81,16,43,37.2,12,30,40.0,5,5,100,6,4,10,4,4,4,7,49,0,0 +Danielle Robinson,PHO,G,175,57,18.6122449,US,"October 5, 1989",27,Oklahoma,7,28,680,79,178,44.4,0,5,0.0,51,61,83.6,13,73,86,106,33,4,58,209,0,0 +Dearica Hamby,SAN,F,191,86,23.57391519,US,"June 11, 1993",24,Wake Forest,2,31,650,96,207,46.4,3,8,37.5,58,95,61.1,48,91,139,32,29,8,43,253,1,0 +Devereaux Peters,IND,F,188,79,22.35174287,US,"August 10, 1989",28,Notre Dame,6,28,796,154,380,40.5,88,225,39.1,118,130,90.8,8,69,77,76,16,9,56,514,0,0 +Diana Taurasi,PHO,G,183,74,22.09680791,US,"November 6, 1982",34,Connecticut,13,20,591,121,255,47.5,22,66,33.3,112,118,94.9,31,98,129,32,20,31,28,376,3,0 +Elena Delle Donne,WAS,G/F,196,85,22.12619742,US,"May 9, 1989",28,Delaware,5,30,939,133,272,48.9,0,1,0.0,51,78,65.4,99,116,215,43,32,64,36,317,4,0 +Elizabeth Williams,ATL,F/C,191,87,23.84803048,US,"June 23, 1993",24,Duke,3,30,377,48,96,50.0,0,1,0.0,32,55,58.2,35,61,96,5,5,4,21,128,0,0 +Emma Cannon,PHO,F,188,86,24.33227705,US,"January 6, 1989",28,Central Florida,R,18,508,105,220,47.7,11,33,33.3,31,34,91.2,33,72,105,52,21,27,30,252,1,0 +Emma Meesseman,WAS,C,193,83,22.28247738,BE,"May 13, 1993",24,Belgium,5,23,617,89,233,38.2,25,79,31.6,56,65,86.2,23,58,81,70,34,5,30,259,0,0 +Epiphanny Prince,NY,G,175,81,26.44897959,US,"November 1, 1988",28,Rutgers,8,26,282,36,86,41.9,1,3,33.3,15,22,68.2,17,44,61,5,4,8,17,88,0,0 +Erica Wheeler,IND,G,170,65,22.49134948,US,"February 5, 1991",26,Rutgers,3,30,767,130,321,40.5,42,129,32.6,34,40,85.0,11,57,68,117,38,1,68,336,0,0 +Érika de Souza,SAN,C,196,86,22.38650562,BR,"September 3, 1982",34,Brazil,13,30,579,65,112,58.0,0,0,0.0,29,32,90.6,58,74,132,35,18,7,37,159,0,0 +Erlana Larkins,IND,F,185,93,27.17311907,US,"February 4, 1986",31,North Carolina,9,20,386,36,92,39.1,9,35,25.7,21,24,87.5,9,26,35,24,11,8,13,102,0,0 +Essence Carson,LA,G/F,183,74,22.09680791,US,"July 28, 1986",31,Rutgers,10,15,61,4,16,25.0,0,0,0.0,5,6,83.3,7,2,9,0,1,3,5,13,0,0 +Evelyn Akhator,DAL,F,191,82,22.47745402,NG,"March 2, 1995",22,Kentucky,R,30,926,165,365,45.2,20,60,33.3,92,117,78.6,73,199,272,50,37,13,67,442,13,0 +Glory Johnson,DAL,F,191,77,21.10687755,US,"July 27, 1990",27,Tennessee,4,4,42,3,9,33.3,3,6,50.0,0,0,0.0,0,3,3,1,0,0,4,9,0,0 +Imani Boyette,ATL,C,201,88,21.78163907,US,"November 10, 1992",24,Texas,1,29,410,56,119,47.1,1,3,33.3,14,20,70.0,43,75,118,14,9,23,22,127,1,0 +Isabelle Harrison,SAN,C,191,83,22.75156931,US,"September 27, 1993",23,Kentucky,3,31,832,154,300,51.3,1,2,50.0,55,85,64.7,66,134,200,46,26,24,63,364,5,0 +Ivory Latta,WAS,G,168,63,22.32142857,US,"September 25, 1984",32,North Carolina,12,29,499,79,218,36.2,40,114,35.1,47,55,85.5,7,20,27,49,12,1,22,245,0,0 +Jantel Lavender,LA,C,193,84,22.55094096,US,"December 11, 1988",28,Ohio State,7,28,481,89,184,48.4,4,13,30.8,18,22,81.8,31,56,87,28,8,5,35,200,0,0 +Jasmine Thomas,CON,G,175,66,21.55102041,US,"September 30, 1989",27,Duke,6,27,762,151,341,44.3,50,116,43.1,39,55,70.9,9,55,64,118,45,4,58,391,1,0 +Jazmon Gwathmey,IND,G,188,65,18.39067451,PR,"January 24, 1993",24,James Madison,2,24,371,50,140,35.7,12,49,24.5,30,39,76.9,15,34,49,17,13,19,32,142,0,0 +Jeanette Pohlen,IND,G,183,78,23.29122996,US,"February 5, 1989",28,Stanford,6,25,278,20,52,38.5,13,29,44.8,17,20,85.0,3,19,22,13,5,0,15,70,0,0 +Jennifer Hamson,IND,C,201,95,23.51426945,US,"January 23, 1992",25,Brigham Young,1,10,50,2,12,16.7,0,3,0.0,8,10,80.0,5,6,11,6,2,2,3,12,0,0 +Jessica Breland,CHI,F,191,77,21.10687755,US,"February 23, 1988",29,North Carolina,5,10,78,9,16,56.3,0,0,0.0,4,5,80.0,5,13,18,2,1,9,3,22,0,0 +Jewell Loyd,SEA,G,178,67,21.14631991,US,"May 10, 1993",24,Notre Dame,3,29,715,116,245,47.3,8,21,38.1,28,37,75.7,50,139,189,46,18,50,57,268,4,0 +Jia Perkins,MIN,G,173,75,25.05930703,US,"February 23, 1982",35,Texas Tech,14,30,932,178,420,42.4,47,123,38.2,114,134,85.1,24,72,96,103,41,11,83,517,0,0 +Jonquel Jones,CON,F/C,198,86,21.93653709,BS,"May 1, 1994",23,George Washington,1,29,463,47,124,37.9,11,32,34.4,11,15,73.3,11,46,57,39,30,1,24,116,0,0 +Jordan Hooper,CHI,F,188,84,23.76641014,US,"February 20, 1992",25,Nebraska,3,29,833,164,299,54.8,22,49,44.9,117,142,82.4,108,226,334,40,29,46,46,467,17,0 +Kaela Davis,DAL,G,188,77,21.78587596,US,"March 15, 1995",22,South Carolina,R,23,208,27,75,36.0,20,55,36.4,3,4,75.0,2,20,22,5,7,1,6,77,0,0 +Kahleah Copper,CHI,G/F,185,70,20.45288532,US,"August 28, 1994",22,Rutgers,1,29,475,62,163,38.0,12,32,37.5,49,65,75.4,10,33,43,32,13,3,48,185,0,0 +Kaleena Mosqueda-Lewis,SEA,F,180,82,25.30864198,US,"March 11, 1993",24,Connecticut,3,29,369,60,140,42.9,5,23,21.7,36,45,80.0,11,43,54,11,9,2,22,161,0,0 +Karima Christmas-Kelly,DAL,G/F,183,82,24.48565201,US,"November 9, 1989",27,Duke,6,14,142,23,43,53.5,9,21,42.9,10,10,100,4,10,14,6,1,1,13,65,0,0 +Kayla Alexander,SAN,C,193,88,23.6247953,CA,"May 1, 1991",26,Arizona State,4,30,889,91,239,38.1,25,83,30.1,111,129,86.0,45,75,120,65,39,5,50,318,0,0 +Kayla McBride,SAN,G/F,180,79,24.38271605,US,"June 25, 1992",25,Notre Dame,3,31,433,78,141,55.3,0,0,0.0,15,16,93.8,40,47,87,17,13,15,30,171,0,0 +Kayla Pedersen,CON,F,193,86,23.08786813,US,"April 14, 1989",28,Stanford,5,27,882,128,337,38.0,47,147,32.0,108,118,91.5,12,93,105,59,32,5,54,411,0,0 +Kayla Thornton,DAL,F,185,86,25.12783053,US,"October 20, 1992",24,Texas–El Paso,2,21,224,11,30,36.7,0,1,0.0,10,14,71.4,19,26,45,13,6,2,9,32,0,0 +Keisha Hampton,CHI,F,185,78,22.79035793,US,"February 22, 1990",27,DePaul,1,30,504,64,157,40.8,14,52,26.9,65,81,80.2,36,59,95,24,20,7,21,207,0,0 +Kelsey Plum,SAN,G,173,66,22.05219018,US,"August 24, 1994",23,Washington,R,28,610,73,210,34.8,29,78,37.2,50,58,86.2,11,42,53,91,13,4,72,225,0,0 +Kia Vaughn,NY,C,193,90,24.16172246,US,"January 24, 1987",30,Rutgers,9,23,455,62,116,53.4,0,0,0.0,10,19,52.6,39,71,110,16,8,9,21,134,1,0 +Kiah Stokes,NY,C,191,87,23.84803048,US,"March 30, 1993",24,Connecticut,3,29,576,50,98,51.0,0,1,0.0,41,52,78.8,63,122,185,21,8,32,33,141,3,0 +Kristi Toliver,WAS,G,170,59,20.41522491,US,"January 27, 1987",30,Maryland,9,29,845,119,284,41.9,67,194,34.5,44,49,89.8,9,50,59,91,20,8,48,349,0,0 +Krystal Thomas,WAS,C,196,88,22.90712203,US,"October 6, 1989",27,Duke,6,29,737,81,149,54.4,0,0,0.0,37,61,60.7,97,172,269,30,15,31,45,199,2,0 +Lanay Montgomery,SEA,C,196,96,24.98958767,US,"September 17, 1993",23,West Virginia,R,7,28,3,7,42.9,0,0,0.0,0,0,0.0,0,5,5,0,1,4,2,6,0,0 +Layshia Clarendon,ATL,G,175,64,20.89795918,US,"February 5, 1991",26,UC Berkeley,5,30,900,124,320,38.8,8,53,15.1,73,81,90.1,27,88,115,206,29,1,82,329,3,0 +Leilani Mitchell,PHO,G,165,58,21.30394858,US,"June 15, 1985",32,Utah,9,30,623,70,182,38.5,31,92,33.7,62,75,82.7,12,57,69,108,26,9,50,233,0,0 +Lindsay Allen,NY,G,173,65,21.71806609,US,"March 20, 1995",22,Notre Dame,R,23,314,21,50,42.0,0,11,0.0,6,9,66.7,8,28,36,47,13,1,18,48,0,0 +Lindsay Whalen,MIN,G,175,78,25.46938776,US,"September 5, 1982",34,Minnesota,14,22,520,69,153,45.1,12,34,35.3,27,36,75.0,8,46,54,90,11,2,44,177,0,0 +Lynetta Kizer,CON,C,193,104,27.92021262,US,"April 4, 1990",27,Maryland,5,20,238,48,100,48.0,0,1,0.0,23,30,76.7,22,35,57,6,11,7,10,119,0,0 +Maimouna Diarra,LA,C,198,90,22.95684114,SN,"January 30, 1991",26,Sengal,R,9,16,1,3,33.3,0,0,0.0,1,2,50.0,3,4,7,1,1,0,3,3,0,0 +Makayla Epps,CHI,G,178,,,US,"June 6, 1995",22,Kentucky,R,14,52,2,14,14.3,0,5,0.0,2,5,40.0,2,0,2,4,1,0,4,6,0,0 +Marissa Coleman,IND,G/F,185,73,21.32943755,US,"April 1, 1987",30,Maryland,9,30,539,50,152,32.9,27,79,34.2,27,33,81.8,7,53,60,25,8,4,34,154,0,0 +Matee Ajavon,ATL,G,173,73,24.39105884,US,"July 5, 1986",31,Syracruse,R,27,218,22,69,31.9,0,3,0.0,29,35,82.9,8,26,34,27,10,0,26,73,0,0 +Maya Moore,MIN,F,183,80,23.88844098,US,"November 6, 1989",27,Connecticut,7,29,904,170,398,42.7,52,132,39.4,98,114,86.0,50,106,156,99,53,13,56,490,3,0 +Monique Currie,PHO,G/F,183,80,23.88844098,US,"February 25, 1983",34,Duke,11,32,717,121,284,42.6,37,93,39.8,85,103,82.5,19,103,122,67,22,11,48,364,0,0 +Morgan Tuck,CON,F,188,91,25.74694432,US,"April 30, 1994",23,Connecticut,1,17,294,35,101,34.7,8,28,28.6,13,16,81.3,9,34,43,19,7,0,15,91,1,0 +Moriah Jefferson,SAN,G,168,55,19.48696145,US,"August 3, 1994",23,Connecticut,1,21,514,81,155,52.3,9,20,45.0,20,27,74.1,6,31,37,92,33,2,43,191,0,0 +Natalie Achonwa,IND,C,193,83,22.28247738,CA,"November 22, 1992",24,Notre Dame,3,30,529,82,151,54.3,0,0,0.0,43,55,78.2,31,70,101,21,11,16,25,207,0,0 +Natasha Cloud,WAS,G,183,73,21.79820239,US,"February 22, 1992",25,Saint Joseph's,3,24,448,37,118,31.4,12,51,23.5,20,27,74.1,7,52,59,69,17,3,23,106,0,0 +Natasha Howard,MIN,F,188,75,21.22000905,US,"February 9, 1991",26,Florida State,4,29,315,48,104,46.2,3,13,23.1,17,23,73.9,25,38,63,16,11,19,20,116,0,0 +Nayo Raincock-Ekunwe,NY,F/C,188,79,22.35174287,CA,"August 29, 1991",25,Simon Fraser,R,27,243,33,63,52.4,0,4,0.0,30,49,61.2,24,22,46,8,2,1,13,96,0,0 +Nia Coffey,SAN,F,185,77,22.49817385,US,"May 21, 1995",22,Northwestern,R,25,203,16,59,27.1,0,4,0.0,16,22,72.7,16,30,46,6,5,6,14,48,0,0 +Nneka Ogwumike,LA,F,188,79,22.35174287,US,"February 7, 1990",27,Stanford,6,30,948,215,386,55.7,18,49,36.7,129,148,87.2,57,179,236,63,53,14,47,577,9,0 +Noelle Quinn,SEA,G,183,81,24.18704649,US,"March 1, 1985",32,UCLA,11,29,459,24,58,41.4,14,35,40.0,17,18,94.4,1,48,49,78,12,5,27,79,0,0 +Odyssey Sims,LA,G,173,73,24.39105884,US,"July 13, 1992",25,Baylor,4,27,626,86,198,43.4,11,49,22.4,47,55,85.5,10,34,44,87,38,5,39,230,1,0 +Plenette Pierson,MIN,F/C,188,88,24.89814396,US,"August 31, 1981",35,Texas Tech,15,29,402,54,142,38.0,17,51,33.3,15,20,75.0,13,49,62,48,12,4,33,140,0,0 +Rachel Banham,CON,G,175,76,24.81632653,US,"July 15, 1993",24,Minnesota,2,26,238,32,87,36.8,16,48,33.3,16,20,80.0,2,27,29,20,4,0,12,96,0,0 +Ramu Tokashiki,SEA,F,193,80,21.47708663,JP,"November 6, 1991",25,Japan,1,29,378,42,92,45.7,0,3,0.0,22,27,81.5,19,29,48,16,8,8,25,106,0,0 +Rebecca Allen,NY,G/F,188,74,20.9370756,AU,"June 11, 1992",25,Australia,3,28,254,31,86,36.0,14,40,35.0,2,6,33.3,13,51,64,15,9,12,17,78,0,0 +Rebekkah Brunson,MIN,F,188,84,23.76641014,US,"November 12, 1981",35,Georgetown,14,26,719,97,218,44.5,22,60,36.7,62,83,74.7,46,135,181,40,31,9,42,278,2,0 +Renee Montgomery,MIN,G,170,63,21.79930796,US,"February 12, 1986",31,Connecticut,9,29,614,71,181,39.2,30,89,33.7,44,51,86.3,12,34,46,96,24,1,43,216,0,0 +Riquna Williams,LA,G,170,75,25.95155709,US,"May 28, 1990",27,Miami (FL),5,23,408,45,140,32.1,20,74,27.0,38,44,86.4,6,26,32,16,19,3,26,148,0,0 +Sami Whitcomb,SEA,G,178,66,20.83070319,US,"July 20, 1988",29,Washington,R,29,354,46,120,38.3,33,94,35.1,14,17,82.4,12,40,52,24,22,0,24,139,0,0 +Sancho Lyttle,ATL,F,193,79,21.20862305,ES,"September 20, 1983",33,Houston,13,25,703,71,163,43.6,1,7,14.3,13,19,68.4,42,138,180,41,40,17,34,156,0,0 +Sandrine Gruda,LA,F/C,193,84,22.55094096,FR,"June 25, 1987",30,France,5,4,12,1,3,33.3,0,0,0.0,0,0,0.0,0,2,2,0,0,0,2,2,0,0 +Saniya Chong,DAL,G,173,64,21.383942,US,"June 27, 1994",23,Connecticut,R,29,348,27,74,36.5,8,35,22.9,25,29,86.2,9,19,28,33,21,3,23,87,0,0 +Seimone Augustus,MIN,G/F,183,77,22.99262444,US,"April 30, 1984",33,LSU,12,27,756,125,251,49.8,18,41,43.9,30,35,85.7,12,70,82,108,17,1,39,298,1,0 +Sequoia Holmes,SAN,G,185,70,20.45288532,US,"June 13, 1986",31,UNLV,2,24,280,31,89,34.8,13,46,28.3,6,11,54.5,12,12,24,23,13,5,11,81,0,0 +Shatori Walker-Kimbrough,WAS,G,180,64,19.75308642,US,"May 18, 1995",22,Maryland,R,22,260,29,78,37.2,9,26,34.6,29,32,90.6,4,13,17,10,11,1,12,96,0,0 +Shavonte Zellous,NY,G,178,85,26.82742078,US,"August 28, 1986",30,Pittsburgh,9,29,865,107,249,43.0,14,41,34.1,118,144,81.9,30,92,122,87,23,8,62,346,1,0 +Shay Murphy,SAN,G,180,74,22.83950617,US,"April 15, 1985",32,Southern California,9,23,242,23,62,37.1,12,35,34.3,8,12,66.7,12,26,38,17,10,1,12,66,0,0 +Shekinna Stricklen,CON,G/F,188,81,22.91760978,US,"July 30, 1990",27,Tennessee,5,29,795,80,202,39.6,59,149,39.6,26,31,83.9,15,71,86,30,36,2,23,245,0,0 +Shenise Johnson,IND,G,180,78,24.07407407,US,"September 12, 1990",26,Miami (FL),6,14,348,55,127,43.3,10,30,33.3,38,40,95.0,13,35,48,35,21,4,18,158,0,0 +Skylar Diggins-Smith,DAL,G,175,66,21.55102041,US,"February 8, 1990",27,Notre Dame,4,30,1018,167,394,42.4,43,119,36.1,168,186,90.3,21,86,107,173,38,24,83,545,1,0 +Stefanie Dolson,CHI,C,196,97,25.24989588,US,"August 1, 1992",25,Connecticut,3,28,823,162,293,55.3,24,60,40.0,50,58,86.2,35,121,156,65,14,37,65,398,3,0 +Stephanie Talbot,PHO,G,185,87,25.42001461,AU,"December 20, 1990",26,Australia,R,30,555,47,114,41.2,15,38,39.5,29,44,65.9,28,58,86,50,22,8,28,138,0,0 +Sue Bird,SEA,G,175,68,22.20408163,US,"October 16, 1980",36,Connecticut,15,27,806,103,244,42.2,50,134,37.3,17,24,70.8,7,46,53,177,31,3,57,273,1,0 +Sugar Rodgers,NY,G,175,75,24.48979592,US,"August 12, 1989",28,Georgetown,6,28,745,108,310,34.8,59,163,36.2,42,52,80.8,21,85,106,68,28,17,43,317,0,0 +Sydney Colson,SAN,G,173,64,21.383942,US,"June 8, 1989",28,Texas A&M,3,25,296,25,78,32.1,2,10,20.0,20,30,66.7,3,11,14,51,13,2,25,72,0,0 +Sydney Wiese,LA,G,183,68,20.30517483,US,"July 13, 1992",25,Oregon State,R,25,189,19,50,38.0,13,32,40.6,4,8,50.0,3,18,21,6,4,3,2,55,0,0 +Sylvia Fowles,MIN,C,198,96,24.48729721,US,"June 10, 1985",32,LSU,10,29,895,222,336,66.1,0,0,0.0,128,162,79.0,113,184,297,39,39,61,71,572,16,0 +Tamera Young,ATL,G/F,188,77,21.78587596,US,"October 30, 1986",30,Tennessee,9,31,820,105,297,35.4,23,70,32.9,44,65,67.7,23,87,110,66,36,14,61,277,0,0 +Tayler Hill,WAS,G,175,66,21.55102041,US,"October 23, 1990",26,Ohio State,5,18,462,69,191,36.1,27,89,30.3,75,80,93.8,5,29,34,47,16,1,26,240,0,0 +Temi Fagbenle,MIN,C,193,89,23.89325888,UK,"August 9, 1992",25,Southern California,R,17,74,6,14,42.9,0,0,0.0,5,6,83.3,3,13,16,1,3,3,8,17,0,0 +Theresa Plaisance,DAL,F,196,91,23.68804665,US,"May 18, 1992",25,LSU,4,30,604,80,213,37.6,35,101,34.7,22,24,91.7,38,89,127,24,23,22,24,217,1,0 +Tianna Hawkins,WAS,F,191,87,23.84803048,US,"February 3, 1991",26,Maryland,4,29,483,79,165,47.9,11,41,26.8,41,43,95.3,42,82,124,9,15,7,23,210,0,0 +Tierra Ruffin-Pratt,WAS,G,178,83,26.19618735,US,"November 4, 1991",25,North Carolina,5,29,703,77,217,35.5,0,4,0.0,71,96,74.0,45,120,165,68,30,16,47,225,2,0 +Tiffany Hayes,ATL,G,178,70,22.09317005,US,"September 20, 1989",27,Connecticut,6,29,861,144,331,43.5,43,112,38.4,136,161,84.5,28,89,117,69,37,8,50,467,0,0 +Tiffany Jackson,LA,F,191,84,23.0256846,US,"April 26, 1985",32,Texas,9,22,127,12,25,48.0,0,1,0.0,4,6,66.7,5,18,23,3,1,3,8,28,0,0 +Tiffany Mitchell,IND,G,175,69,22.53061224,US,"September 23, 1984",32,South Carolina,2,27,671,83,238,34.9,17,69,24.6,94,102,92.2,16,70,86,39,31,5,40,277,0,0 +Tina Charles,NY,F/C,193,84,22.55094096,US,"May 12, 1988",29,Connecticut,8,29,952,227,509,44.6,18,56,32.1,110,135,81.5,56,212,268,75,21,22,71,582,11,0 +Yvonne Turner,PHO,G,175,59,19.26530612,US,"October 13, 1987",29,Nebraska,2,30,356,59,140,42.1,11,47,23.4,22,28,78.6,11,13,24,30,18,1,32,151,0,0 \ No newline at end of file diff --git a/your-code/wnba_cleaned.csv b/your-code/wnba_cleaned.csv new file mode 100644 index 0000000..3bf5421 --- /dev/null +++ b/your-code/wnba_cleaned.csv @@ -0,0 +1,143 @@ +Name,Team,Pos,Height,Weight,BMI,Birth_Place,Birthdate,Age,College,Experience,Games Played,MIN,FGM,FGA,FG%,3PM,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TO,PTS,DD2,TD3 +Aerial Powers,DAL,F,183,71,21.20099137,US,"January 17, 1994",23,Michigan State,2,8,173,30,85,35.3,12,32,37.5,21,26,80.8,6,22,28,12,3,6,12,93,0,0 +Alana Beard,LA,G/F,185,73,21.32943755,US,"May 14, 1982",35,Duke,12,30,947,90,177,50.8,5,18,27.8,32,41,78.0,19,82,101,72,63,13,40,217,0,0 +Alex Bentley,CON,G,170,69,23.87543253,US,"October 27, 1990",26,Penn State,4,26,617,82,218,37.6,19,64,29.7,35,42,83.3,4,36,40,78,22,3,24,218,0,0 +Alex Montgomery,SAN,G/F,185,84,24.54346238,US,"December 11, 1988",28,Georgia Tech,6,31,721,75,195,38.5,21,68,30.9,17,21,81.0,35,134,169,65,20,10,38,188,2,0 +Alexis Jones,MIN,G,175,78,25.46938776,US,"August 5, 1994",23,Baylor,R,24,137,16,50,32.0,7,20,35.0,11,12,91.7,3,9,12,12,7,0,14,50,0,0 +Alexis Peterson,SEA,G,170,63,21.79930796,US,"June 20, 1995",22,Syracuse,R,14,90,9,34,26.5,2,9,22.2,6,6,100.0,3,13,16,11,5,0,11,26,0,0 +Alexis Prince,PHO,G,188,81,22.91760978,US,"February 5, 1994",23,Baylor,R,16,112,9,34,26.5,4,15,26.7,2,2,100.0,1,14,15,5,4,3,3,24,0,0 +Allie Quigley,CHI,G,178,64,20.19946976,US,"June 20, 1986",31,DePaul,8,26,847,166,319,52.0,70,150,46.7,40,46,87.0,9,83,92,95,20,13,59,442,0,0 +Allisha Gray,DAL,G,185,76,22.20598977,US,"October 20, 1992",24,South Carolina,2,30,834,131,346,37.9,29,103,28.2,104,129,80.6,52,75,127,40,47,19,37,395,0,0 +Allison Hightower,WAS,G,178,77,24.30248706,US,"June 4, 1988",29,LSU,5,7,103,14,38,36.8,2,11,18.2,6,6,100.0,3,7,10,10,5,0,2,36,0,0 +Alysha Clark,SEA,F,180,76,23.45679012,US,"July 7, 1987",30,Middle Tennessee,6,30,843,93,183,50.8,20,62,32.3,38,51,74.5,29,97,126,50,22,4,32,244,0,0 +Alyssa Thomas,CON,F,188,84,23.76641014,US,"December 4, 1992",24,Maryland,3,28,833,154,303,50.8,0,3,0.0,91,158,57.6,34,158,192,136,48,11,87,399,4,0 +Amanda Zahui B.,NY,C,196,113,29.41482716,SE,"August 9, 1993",24,Minnesota,3,25,133,20,53,37.7,2,8,25.0,9,12,75.0,5,18,23,7,4,5,12,51,0,0 +Amber Harris,CHI,F,196,88,22.90712203,US,"January 16, 1988",29,Xavier,3,22,146,18,44,40.9,0,10,0.0,5,8,62.5,12,28,40,5,3,9,6,41,0,0 +Aneika Henry,ATL,F/C,193,87,23.35633171,JM,"February 13, 1986",31,Florida,6,4,22,4,4,100.0,0,0,0.0,0,0,0.0,0,4,4,1,2,0,3,8,0,0 +Angel Robinson,PHO,F/C,198,88,22.44668911,US,"August 30, 1995",21,Arizona State,1,15,237,25,44,56.8,1,1,100.0,7,7,100.0,16,42,58,8,1,11,16,58,0,0 +Asia Taylor,WAS,F,185,76,22.20598977,US,"August 22, 1991",26,Louisville,3,20,128,10,31,32.3,0,0,0.0,11,18,61.1,16,21,37,9,5,2,10,31,0,0 +Bashaara Graves,CHI,F,188,91,25.74694432,US,"March 17, 1994",23,Tennessee,1,5,59,8,14,57.1,0,0,0.0,3,4,75.0,4,13,17,3,0,1,3,19,0,0 +Breanna Lewis,DAL,C,196,93,24.20866306,US,"June 22, 1994",23,Kansas State,R,12,50,2,12,16.7,0,0,0.0,3,4,75.0,2,7,9,2,0,0,7,7,0,0 +Breanna Stewart,SEA,F/C,193,77,20.67169588,US,"August 27, 1994",22,Connecticut,2,29,952,201,417,48.2,46,123,37.4,136,171,79.5,43,206,249,78,29,47,68,584,8,0 +Bria Hartley,NY,G,173,66,22.05219018,US,"September 30, 1992",24,Connecticut,4,29,598,80,192,41.7,32,93,34.4,25,33,75.8,7,50,57,58,15,5,44,217,0,0 +Bria Holmes,ATL,G,185,77,22.49817385,US,"April 19, 1994",23,West Virginia,R,28,655,85,231,36.8,9,50,18.0,56,84,66.7,29,56,85,52,23,7,31,235,0,0 +Briann January,IND,G,173,65,21.71806609,US,"November 1, 1987",29,Arizona State,9,25,657,81,205,39.5,18,57,31.6,58,71,81.7,12,25,37,98,23,4,53,238,0,0 +Brionna Jones,CON,F,191,104,28.50799046,US,"December 18, 1995",21,Maryland,R,19,112,14,26,53.8,0,0,0.0,16,19,84.2,11,14,25,2,7,1,7,44,0,0 +Brittany Boyd,NY,G,175,71,23.18367347,US,"November 6, 1993",23,UC Berkeley,3,2,32,9,15,60.0,0,1,0.0,8,11,72.7,3,5,8,5,3,0,2,26,0,0 +Brittney Griner,PHO,C,206,93,21.91535489,US,"October 18, 1990",26,Baylor,5,22,682,167,293,57.0,0,0,0.0,127,154,82.5,43,129,172,39,13,54,52,461,6,0 +Brittney Sykes,ATL,G,175,66,21.55102041,US,"July 2, 1994",23,Rutgers,10,30,734,146,362,40.3,29,87,33.3,76,102,74.5,25,94,119,59,18,17,49,397,1,0 +Camille Little,PHO,F,188,82,23.20054323,US,"January 18, 1985",32,North Carolina,11,30,759,93,219,42.5,9,52,17.3,33,52,63.5,42,71,113,42,28,13,50,228,0,0 +Candace Parker,LA,F/C,193,79,21.20862305,US,"April 19, 1986",31,Tennessee,10,29,889,183,383,47.8,40,114,35.1,88,115,76.5,37,205,242,127,43,53,80,494,10,1 +Candice Dupree,IND,F,188,81,22.91760978,US,"February 25, 1984",33,Temple,12,29,911,189,370,51.1,0,2,0.0,57,65,87.7,31,124,155,47,28,12,42,435,2,0 +Cappie Pondexter,CHI,G,175,73,23.83673469,US,"July 1, 1983",34,Rutgers,11,24,676,94,258,36.4,8,32,25.0,54,67,80.6,10,59,69,104,17,5,56,250,2,0 +Carolyn Swords,SEA,C,198,95,24.2322212,US,"July 19, 1989",28,Boston College,6,26,218,19,39,48.7,0,0,0.0,16,20,80.0,10,29,39,9,5,4,22,54,0,0 +Cayla George,PHO,C,193,87,23.35633171,AU,"April 20, 1987",30,Georgia,1,28,365,40,105,38.1,13,45,28.9,7,12,58.3,10,71,81,15,9,11,13,100,1,0 +Chelsea Gray,LA,G,180,77,23.7654321,US,"August 10, 1992",25,Duke,3,30,996,165,326,50.6,48,100,48.0,78,94,83.0,19,80,99,132,29,7,61,456,1,0 +Cheyenne Parker,CHI,F,193,86,23.08786813,US,"August 22, 1992",25,Middle Tennessee,2,23,286,32,69,46.4,0,3,0.0,23,36,63.9,31,47,78,13,8,15,21,87,0,0 +Clarissa dos Santos,SAN,C,185,89,26.00438276,BR,"October 3, 1988",28,Brazil,4,7,52,8,14,57.1,1,1,100.0,0,0,0.0,3,7,10,7,1,1,5,17,0,0 +Courtney Paris,DAL,C,193,113,30.33638487,US,"September 21, 1987",29,Oklahoma,7,16,217,32,57,56.1,0,0,0.0,6,12,50.0,28,34,62,5,6,8,18,70,0,0 +Courtney Vandersloot,CHI,G,173,66,22.05219018,US,"August 2, 1989",28,Gonzaga,6,22,673,104,199,52.3,23,60,38.3,24,29,82.8,13,75,88,175,22,5,64,255,10,0 +Courtney Williams,CON,G,173,62,20.71569381,US,"November 5, 1994",22,South Florida,1,29,755,168,338,49.7,8,30,26.7,31,36,86.1,38,84,122,60,15,6,39,375,1,0 +Crystal Langhorne,SEA,F/C,188,84,23.76641014,US,"October 27, 1986",30,Maryland,10,30,848,160,240,66.7,1,2,50.0,49,68,72.1,35,140,175,46,16,11,50,370,2,0 +Damiris Dantas,ATL,C,191,89,24.39626107,BR,"November 17, 1992",24,Brazil,4,30,569,98,243,40.3,25,91,27.5,33,43,76.7,29,84,113,19,17,18,26,254,0,0 +Danielle Adams,CON,F/C,185,108,31.5558802,US,"February 19, 1989",28,Texas A&M,5,18,81,16,43,37.2,12,30,40.0,5,5,100.0,6,4,10,4,4,4,7,49,0,0 +Danielle Robinson,PHO,G,175,57,18.6122449,US,"October 5, 1989",27,Oklahoma,7,28,680,79,178,44.4,0,5,0.0,51,61,83.6,13,73,86,106,33,4,58,209,0,0 +Dearica Hamby,SAN,F,191,86,23.57391519,US,"June 11, 1993",24,Wake Forest,2,31,650,96,207,46.4,3,8,37.5,58,95,61.1,48,91,139,32,29,8,43,253,1,0 +Devereaux Peters,IND,F,188,79,22.35174287,US,"August 10, 1989",28,Notre Dame,6,28,796,154,380,40.5,88,225,39.1,118,130,90.8,8,69,77,76,16,9,56,514,0,0 +Diana Taurasi,PHO,G,183,74,22.09680791,US,"November 6, 1982",34,Connecticut,13,20,591,121,255,47.5,22,66,33.3,112,118,94.9,31,98,129,32,20,31,28,376,3,0 +Elena Delle Donne,WAS,G/F,196,85,22.12619742,US,"May 9, 1989",28,Delaware,5,30,939,133,272,48.9,0,1,0.0,51,78,65.4,99,116,215,43,32,64,36,317,4,0 +Elizabeth Williams,ATL,F/C,191,87,23.84803048,US,"June 23, 1993",24,Duke,3,30,377,48,96,50.0,0,1,0.0,32,55,58.2,35,61,96,5,5,4,21,128,0,0 +Emma Cannon,PHO,F,188,86,24.33227705,US,"January 6, 1989",28,Central Florida,R,18,508,105,220,47.7,11,33,33.3,31,34,91.2,33,72,105,52,21,27,30,252,1,0 +Emma Meesseman,WAS,C,193,83,22.28247738,BE,"May 13, 1993",24,Belgium,5,23,617,89,233,38.2,25,79,31.6,56,65,86.2,23,58,81,70,34,5,30,259,0,0 +Epiphanny Prince,NY,G,175,81,26.44897959,US,"November 1, 1988",28,Rutgers,8,26,282,36,86,41.9,1,3,33.3,15,22,68.2,17,44,61,5,4,8,17,88,0,0 +Erica Wheeler,IND,G,170,65,22.49134948,US,"February 5, 1991",26,Rutgers,3,30,767,130,321,40.5,42,129,32.6,34,40,85.0,11,57,68,117,38,1,68,336,0,0 +Érika de Souza,SAN,C,196,86,22.38650562,BR,"September 3, 1982",34,Brazil,13,30,579,65,112,58.0,0,0,0.0,29,32,90.6,58,74,132,35,18,7,37,159,0,0 +Erlana Larkins,IND,F,185,93,27.17311907,US,"February 4, 1986",31,North Carolina,9,20,386,36,92,39.1,9,35,25.7,21,24,87.5,9,26,35,24,11,8,13,102,0,0 +Essence Carson,LA,G/F,183,74,22.09680791,US,"July 28, 1986",31,Rutgers,10,15,61,4,16,25.0,0,0,0.0,5,6,83.3,7,2,9,0,1,3,5,13,0,0 +Evelyn Akhator,DAL,F,191,82,22.47745402,NG,"March 2, 1995",22,Kentucky,R,30,926,165,365,45.2,20,60,33.3,92,117,78.6,73,199,272,50,37,13,67,442,13,0 +Glory Johnson,DAL,F,191,77,21.10687755,US,"July 27, 1990",27,Tennessee,4,4,42,3,9,33.3,3,6,50.0,0,0,0.0,0,3,3,1,0,0,4,9,0,0 +Imani Boyette,ATL,C,201,88,21.78163907,US,"November 10, 1992",24,Texas,1,29,410,56,119,47.1,1,3,33.3,14,20,70.0,43,75,118,14,9,23,22,127,1,0 +Isabelle Harrison,SAN,C,191,83,22.75156931,US,"September 27, 1993",23,Kentucky,3,31,832,154,300,51.3,1,2,50.0,55,85,64.7,66,134,200,46,26,24,63,364,5,0 +Ivory Latta,WAS,G,168,63,22.32142857,US,"September 25, 1984",32,North Carolina,12,29,499,79,218,36.2,40,114,35.1,47,55,85.5,7,20,27,49,12,1,22,245,0,0 +Jantel Lavender,LA,C,193,84,22.55094096,US,"December 11, 1988",28,Ohio State,7,28,481,89,184,48.4,4,13,30.8,18,22,81.8,31,56,87,28,8,5,35,200,0,0 +Jasmine Thomas,CON,G,175,66,21.55102041,US,"September 30, 1989",27,Duke,6,27,762,151,341,44.3,50,116,43.1,39,55,70.9,9,55,64,118,45,4,58,391,1,0 +Jazmon Gwathmey,IND,G,188,65,18.39067451,PR,"January 24, 1993",24,James Madison,2,24,371,50,140,35.7,12,49,24.5,30,39,76.9,15,34,49,17,13,19,32,142,0,0 +Jeanette Pohlen,IND,G,183,78,23.29122996,US,"February 5, 1989",28,Stanford,6,25,278,20,52,38.5,13,29,44.8,17,20,85.0,3,19,22,13,5,0,15,70,0,0 +Jennifer Hamson,IND,C,201,95,23.51426945,US,"January 23, 1992",25,Brigham Young,1,10,50,2,12,16.7,0,3,0.0,8,10,80.0,5,6,11,6,2,2,3,12,0,0 +Jessica Breland,CHI,F,191,77,21.10687755,US,"February 23, 1988",29,North Carolina,5,10,78,9,16,56.3,0,0,0.0,4,5,80.0,5,13,18,2,1,9,3,22,0,0 +Jewell Loyd,SEA,G,178,67,21.14631991,US,"May 10, 1993",24,Notre Dame,3,29,715,116,245,47.3,8,21,38.1,28,37,75.7,50,139,189,46,18,50,57,268,4,0 +Jia Perkins,MIN,G,173,75,25.05930703,US,"February 23, 1982",35,Texas Tech,14,30,932,178,420,42.4,47,123,38.2,114,134,85.1,24,72,96,103,41,11,83,517,0,0 +Jonquel Jones,CON,F/C,198,86,21.93653709,BS,"May 1, 1994",23,George Washington,1,29,463,47,124,37.9,11,32,34.4,11,15,73.3,11,46,57,39,30,1,24,116,0,0 +Jordan Hooper,CHI,F,188,84,23.76641014,US,"February 20, 1992",25,Nebraska,3,29,833,164,299,54.8,22,49,44.9,117,142,82.4,108,226,334,40,29,46,46,467,17,0 +Kaela Davis,DAL,G,188,77,21.78587596,US,"March 15, 1995",22,South Carolina,R,23,208,27,75,36.0,20,55,36.4,3,4,75.0,2,20,22,5,7,1,6,77,0,0 +Kahleah Copper,CHI,G/F,185,70,20.45288532,US,"August 28, 1994",22,Rutgers,1,29,475,62,163,38.0,12,32,37.5,49,65,75.4,10,33,43,32,13,3,48,185,0,0 +Kaleena Mosqueda-Lewis,SEA,F,180,82,25.30864198,US,"March 11, 1993",24,Connecticut,3,29,369,60,140,42.9,5,23,21.7,36,45,80.0,11,43,54,11,9,2,22,161,0,0 +Karima Christmas-Kelly,DAL,G/F,183,82,24.48565201,US,"November 9, 1989",27,Duke,6,14,142,23,43,53.5,9,21,42.9,10,10,100.0,4,10,14,6,1,1,13,65,0,0 +Kayla Alexander,SAN,C,193,88,23.6247953,CA,"May 1, 1991",26,Arizona State,4,30,889,91,239,38.1,25,83,30.1,111,129,86.0,45,75,120,65,39,5,50,318,0,0 +Kayla McBride,SAN,G/F,180,79,24.38271605,US,"June 25, 1992",25,Notre Dame,3,31,433,78,141,55.3,0,0,0.0,15,16,93.8,40,47,87,17,13,15,30,171,0,0 +Kayla Pedersen,CON,F,193,86,23.08786813,US,"April 14, 1989",28,Stanford,5,27,882,128,337,38.0,47,147,32.0,108,118,91.5,12,93,105,59,32,5,54,411,0,0 +Kayla Thornton,DAL,F,185,86,25.12783053,US,"October 20, 1992",24,Texas–El Paso,2,21,224,11,30,36.7,0,1,0.0,10,14,71.4,19,26,45,13,6,2,9,32,0,0 +Keisha Hampton,CHI,F,185,78,22.79035793,US,"February 22, 1990",27,DePaul,1,30,504,64,157,40.8,14,52,26.9,65,81,80.2,36,59,95,24,20,7,21,207,0,0 +Kelsey Plum,SAN,G,173,66,22.05219018,US,"August 24, 1994",23,Washington,R,28,610,73,210,34.8,29,78,37.2,50,58,86.2,11,42,53,91,13,4,72,225,0,0 +Kia Vaughn,NY,C,193,90,24.16172246,US,"January 24, 1987",30,Rutgers,9,23,455,62,116,53.4,0,0,0.0,10,19,52.6,39,71,110,16,8,9,21,134,1,0 +Kiah Stokes,NY,C,191,87,23.84803048,US,"March 30, 1993",24,Connecticut,3,29,576,50,98,51.0,0,1,0.0,41,52,78.8,63,122,185,21,8,32,33,141,3,0 +Kristi Toliver,WAS,G,170,59,20.41522491,US,"January 27, 1987",30,Maryland,9,29,845,119,284,41.9,67,194,34.5,44,49,89.8,9,50,59,91,20,8,48,349,0,0 +Krystal Thomas,WAS,C,196,88,22.90712203,US,"October 6, 1989",27,Duke,6,29,737,81,149,54.4,0,0,0.0,37,61,60.7,97,172,269,30,15,31,45,199,2,0 +Lanay Montgomery,SEA,C,196,96,24.98958767,US,"September 17, 1993",23,West Virginia,R,7,28,3,7,42.9,0,0,0.0,0,0,0.0,0,5,5,0,1,4,2,6,0,0 +Layshia Clarendon,ATL,G,175,64,20.89795918,US,"February 5, 1991",26,UC Berkeley,5,30,900,124,320,38.8,8,53,15.1,73,81,90.1,27,88,115,206,29,1,82,329,3,0 +Leilani Mitchell,PHO,G,165,58,21.30394858,US,"June 15, 1985",32,Utah,9,30,623,70,182,38.5,31,92,33.7,62,75,82.7,12,57,69,108,26,9,50,233,0,0 +Lindsay Allen,NY,G,173,65,21.71806609,US,"March 20, 1995",22,Notre Dame,R,23,314,21,50,42.0,0,11,0.0,6,9,66.7,8,28,36,47,13,1,18,48,0,0 +Lindsay Whalen,MIN,G,175,78,25.46938776,US,"September 5, 1982",34,Minnesota,14,22,520,69,153,45.1,12,34,35.3,27,36,75.0,8,46,54,90,11,2,44,177,0,0 +Lynetta Kizer,CON,C,193,104,27.92021262,US,"April 4, 1990",27,Maryland,5,20,238,48,100,48.0,0,1,0.0,23,30,76.7,22,35,57,6,11,7,10,119,0,0 +Maimouna Diarra,LA,C,198,90,22.95684114,SN,"January 30, 1991",26,Sengal,R,9,16,1,3,33.3,0,0,0.0,1,2,50.0,3,4,7,1,1,0,3,3,0,0 +Marissa Coleman,IND,G/F,185,73,21.32943755,US,"April 1, 1987",30,Maryland,9,30,539,50,152,32.9,27,79,34.2,27,33,81.8,7,53,60,25,8,4,34,154,0,0 +Matee Ajavon,ATL,G,173,73,24.39105884,US,"July 5, 1986",31,Syracruse,R,27,218,22,69,31.9,0,3,0.0,29,35,82.9,8,26,34,27,10,0,26,73,0,0 +Maya Moore,MIN,F,183,80,23.88844098,US,"November 6, 1989",27,Connecticut,7,29,904,170,398,42.7,52,132,39.4,98,114,86.0,50,106,156,99,53,13,56,490,3,0 +Monique Currie,PHO,G/F,183,80,23.88844098,US,"February 25, 1983",34,Duke,11,32,717,121,284,42.6,37,93,39.8,85,103,82.5,19,103,122,67,22,11,48,364,0,0 +Morgan Tuck,CON,F,188,91,25.74694432,US,"April 30, 1994",23,Connecticut,1,17,294,35,101,34.7,8,28,28.6,13,16,81.3,9,34,43,19,7,0,15,91,1,0 +Moriah Jefferson,SAN,G,168,55,19.48696145,US,"August 3, 1994",23,Connecticut,1,21,514,81,155,52.3,9,20,45.0,20,27,74.1,6,31,37,92,33,2,43,191,0,0 +Natalie Achonwa,IND,C,193,83,22.28247738,CA,"November 22, 1992",24,Notre Dame,3,30,529,82,151,54.3,0,0,0.0,43,55,78.2,31,70,101,21,11,16,25,207,0,0 +Natasha Cloud,WAS,G,183,73,21.79820239,US,"February 22, 1992",25,Saint Joseph's,3,24,448,37,118,31.4,12,51,23.5,20,27,74.1,7,52,59,69,17,3,23,106,0,0 +Natasha Howard,MIN,F,188,75,21.22000905,US,"February 9, 1991",26,Florida State,4,29,315,48,104,46.2,3,13,23.1,17,23,73.9,25,38,63,16,11,19,20,116,0,0 +Nayo Raincock-Ekunwe,NY,F/C,188,79,22.35174287,CA,"August 29, 1991",25,Simon Fraser,R,27,243,33,63,52.4,0,4,0.0,30,49,61.2,24,22,46,8,2,1,13,96,0,0 +Nia Coffey,SAN,F,185,77,22.49817385,US,"May 21, 1995",22,Northwestern,R,25,203,16,59,27.1,0,4,0.0,16,22,72.7,16,30,46,6,5,6,14,48,0,0 +Nneka Ogwumike,LA,F,188,79,22.35174287,US,"February 7, 1990",27,Stanford,6,30,948,215,386,55.7,18,49,36.7,129,148,87.2,57,179,236,63,53,14,47,577,9,0 +Noelle Quinn,SEA,G,183,81,24.18704649,US,"March 1, 1985",32,UCLA,11,29,459,24,58,41.4,14,35,40.0,17,18,94.4,1,48,49,78,12,5,27,79,0,0 +Odyssey Sims,LA,G,173,73,24.39105884,US,"July 13, 1992",25,Baylor,4,27,626,86,198,43.4,11,49,22.4,47,55,85.5,10,34,44,87,38,5,39,230,1,0 +Plenette Pierson,MIN,F/C,188,88,24.89814396,US,"August 31, 1981",35,Texas Tech,15,29,402,54,142,38.0,17,51,33.3,15,20,75.0,13,49,62,48,12,4,33,140,0,0 +Rachel Banham,CON,G,175,76,24.81632653,US,"July 15, 1993",24,Minnesota,2,26,238,32,87,36.8,16,48,33.3,16,20,80.0,2,27,29,20,4,0,12,96,0,0 +Ramu Tokashiki,SEA,F,193,80,21.47708663,JP,"November 6, 1991",25,Japan,1,29,378,42,92,45.7,0,3,0.0,22,27,81.5,19,29,48,16,8,8,25,106,0,0 +Rebecca Allen,NY,G/F,188,74,20.9370756,AU,"June 11, 1992",25,Australia,3,28,254,31,86,36.0,14,40,35.0,2,6,33.3,13,51,64,15,9,12,17,78,0,0 +Rebekkah Brunson,MIN,F,188,84,23.76641014,US,"November 12, 1981",35,Georgetown,14,26,719,97,218,44.5,22,60,36.7,62,83,74.7,46,135,181,40,31,9,42,278,2,0 +Renee Montgomery,MIN,G,170,63,21.79930796,US,"February 12, 1986",31,Connecticut,9,29,614,71,181,39.2,30,89,33.7,44,51,86.3,12,34,46,96,24,1,43,216,0,0 +Riquna Williams,LA,G,170,75,25.95155709,US,"May 28, 1990",27,Miami (FL),5,23,408,45,140,32.1,20,74,27.0,38,44,86.4,6,26,32,16,19,3,26,148,0,0 +Sami Whitcomb,SEA,G,178,66,20.83070319,US,"July 20, 1988",29,Washington,R,29,354,46,120,38.3,33,94,35.1,14,17,82.4,12,40,52,24,22,0,24,139,0,0 +Sancho Lyttle,ATL,F,193,79,21.20862305,ES,"September 20, 1983",33,Houston,13,25,703,71,163,43.6,1,7,14.3,13,19,68.4,42,138,180,41,40,17,34,156,0,0 +Sandrine Gruda,LA,F/C,193,84,22.55094096,FR,"June 25, 1987",30,France,5,4,12,1,3,33.3,0,0,0.0,0,0,0.0,0,2,2,0,0,0,2,2,0,0 +Saniya Chong,DAL,G,173,64,21.383942,US,"June 27, 1994",23,Connecticut,R,29,348,27,74,36.5,8,35,22.9,25,29,86.2,9,19,28,33,21,3,23,87,0,0 +Seimone Augustus,MIN,G/F,183,77,22.99262444,US,"April 30, 1984",33,LSU,12,27,756,125,251,49.8,18,41,43.9,30,35,85.7,12,70,82,108,17,1,39,298,1,0 +Sequoia Holmes,SAN,G,185,70,20.45288532,US,"June 13, 1986",31,UNLV,2,24,280,31,89,34.8,13,46,28.3,6,11,54.5,12,12,24,23,13,5,11,81,0,0 +Shatori Walker-Kimbrough,WAS,G,180,64,19.75308642,US,"May 18, 1995",22,Maryland,R,22,260,29,78,37.2,9,26,34.6,29,32,90.6,4,13,17,10,11,1,12,96,0,0 +Shavonte Zellous,NY,G,178,85,26.82742078,US,"August 28, 1986",30,Pittsburgh,9,29,865,107,249,43.0,14,41,34.1,118,144,81.9,30,92,122,87,23,8,62,346,1,0 +Shay Murphy,SAN,G,180,74,22.83950617,US,"April 15, 1985",32,Southern California,9,23,242,23,62,37.1,12,35,34.3,8,12,66.7,12,26,38,17,10,1,12,66,0,0 +Shekinna Stricklen,CON,G/F,188,81,22.91760978,US,"July 30, 1990",27,Tennessee,5,29,795,80,202,39.6,59,149,39.6,26,31,83.9,15,71,86,30,36,2,23,245,0,0 +Shenise Johnson,IND,G,180,78,24.07407407,US,"September 12, 1990",26,Miami (FL),6,14,348,55,127,43.3,10,30,33.3,38,40,95.0,13,35,48,35,21,4,18,158,0,0 +Skylar Diggins-Smith,DAL,G,175,66,21.55102041,US,"February 8, 1990",27,Notre Dame,4,30,1018,167,394,42.4,43,119,36.1,168,186,90.3,21,86,107,173,38,24,83,545,1,0 +Stefanie Dolson,CHI,C,196,97,25.24989588,US,"August 1, 1992",25,Connecticut,3,28,823,162,293,55.3,24,60,40.0,50,58,86.2,35,121,156,65,14,37,65,398,3,0 +Stephanie Talbot,PHO,G,185,87,25.42001461,AU,"December 20, 1990",26,Australia,R,30,555,47,114,41.2,15,38,39.5,29,44,65.9,28,58,86,50,22,8,28,138,0,0 +Sue Bird,SEA,G,175,68,22.20408163,US,"October 16, 1980",36,Connecticut,15,27,806,103,244,42.2,50,134,37.3,17,24,70.8,7,46,53,177,31,3,57,273,1,0 +Sugar Rodgers,NY,G,175,75,24.48979592,US,"August 12, 1989",28,Georgetown,6,28,745,108,310,34.8,59,163,36.2,42,52,80.8,21,85,106,68,28,17,43,317,0,0 +Sydney Colson,SAN,G,173,64,21.383942,US,"June 8, 1989",28,Texas A&M,3,25,296,25,78,32.1,2,10,20.0,20,30,66.7,3,11,14,51,13,2,25,72,0,0 +Sydney Wiese,LA,G,183,68,20.30517483,US,"July 13, 1992",25,Oregon State,R,25,189,19,50,38.0,13,32,40.6,4,8,50.0,3,18,21,6,4,3,2,55,0,0 +Sylvia Fowles,MIN,C,198,96,24.48729721,US,"June 10, 1985",32,LSU,10,29,895,222,336,66.1,0,0,0.0,128,162,79.0,113,184,297,39,39,61,71,572,16,0 +Tamera Young,ATL,G/F,188,77,21.78587596,US,"October 30, 1986",30,Tennessee,9,31,820,105,297,35.4,23,70,32.9,44,65,67.7,23,87,110,66,36,14,61,277,0,0 +Tayler Hill,WAS,G,175,66,21.55102041,US,"October 23, 1990",26,Ohio State,5,18,462,69,191,36.1,27,89,30.3,75,80,93.8,5,29,34,47,16,1,26,240,0,0 +Temi Fagbenle,MIN,C,193,89,23.89325888,UK,"August 9, 1992",25,Southern California,R,17,74,6,14,42.9,0,0,0.0,5,6,83.3,3,13,16,1,3,3,8,17,0,0 +Theresa Plaisance,DAL,F,196,91,23.68804665,US,"May 18, 1992",25,LSU,4,30,604,80,213,37.6,35,101,34.7,22,24,91.7,38,89,127,24,23,22,24,217,1,0 +Tianna Hawkins,WAS,F,191,87,23.84803048,US,"February 3, 1991",26,Maryland,4,29,483,79,165,47.9,11,41,26.8,41,43,95.3,42,82,124,9,15,7,23,210,0,0 +Tierra Ruffin-Pratt,WAS,G,178,83,26.19618735,US,"November 4, 1991",25,North Carolina,5,29,703,77,217,35.5,0,4,0.0,71,96,74.0,45,120,165,68,30,16,47,225,2,0 +Tiffany Hayes,ATL,G,178,70,22.09317005,US,"September 20, 1989",27,Connecticut,6,29,861,144,331,43.5,43,112,38.4,136,161,84.5,28,89,117,69,37,8,50,467,0,0 +Tiffany Jackson,LA,F,191,84,23.0256846,US,"April 26, 1985",32,Texas,9,22,127,12,25,48.0,0,1,0.0,4,6,66.7,5,18,23,3,1,3,8,28,0,0 +Tiffany Mitchell,IND,G,175,69,22.53061224,US,"September 23, 1984",32,South Carolina,2,27,671,83,238,34.9,17,69,24.6,94,102,92.2,16,70,86,39,31,5,40,277,0,0 +Tina Charles,NY,F/C,193,84,22.55094096,US,"May 12, 1988",29,Connecticut,8,29,952,227,509,44.6,18,56,32.1,110,135,81.5,56,212,268,75,21,22,71,582,11,0 +Yvonne Turner,PHO,G,175,59,19.26530612,US,"October 13, 1987",29,Nebraska,2,30,356,59,140,42.1,11,47,23.4,22,28,78.6,11,13,24,30,18,1,32,151,0,0