diff --git a/your-code/1.-Data-Cleaning.ipynb b/your-code/1.-Data-Cleaning.ipynb index d1c8eea..2dd2a33 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": 17, "metadata": {}, "outputs": [], "source": [ @@ -47,11 +47,283 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
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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
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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HeightWeightBMIAgeGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
count142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000142.000000
mean184.61267678.97887323.09121427.11267624.429577500.10563474.401408168.70422543.10281714.83098643.69718324.97816939.53521149.42253575.82887322.06338061.59154983.65493044.51408517.7253529.78169032.288732203.1690141.1408450.007042
std8.69812810.9961102.0736913.6671807.075477289.37339355.980754117.1658099.85519917.37282946.15530218.45907536.74305344.24469718.53615121.51964849.66985468.20058541.49079013.41331212.53766921.447141153.0325592.9090020.083918
min165.00000055.00000018.39067521.0000002.00000012.0000001.0000003.00000016.7000000.0000000.0000000.0000000.0000000.0000000.0000000.0000002.0000002.0000000.0000000.0000000.0000002.0000002.0000000.0000000.000000
25%175.75000071.50000021.78587624.00000022.000000242.25000027.00000069.00000037.1250000.0000003.0000000.00000013.00000017.25000071.5750007.00000026.00000034.25000011.2500007.0000002.00000014.00000077.2500000.0000000.000000
50%185.00000079.00000022.87331427.00000027.500000506.00000069.000000152.50000042.05000010.50000032.00000030.55000029.00000035.50000080.00000013.00000050.00000062.50000034.00000015.0000005.00000028.000000181.0000000.0000000.000000
75%191.00000086.00000024.18071530.00000029.000000752.500000105.000000244.75000048.62500022.00000065.50000036.17500053.25000066.50000085.92500031.00000084.000000116.50000066.75000027.50000012.00000048.000000277.7500001.0000000.000000
max206.000000113.00000031.55588036.00000032.0000001018.000000227.000000509.000000100.00000088.000000225.000000100.000000168.000000186.000000100.000000113.000000226.000000334.000000206.00000063.00000064.00000087.000000584.00000017.0000001.000000
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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
...................................................................................................
137Tiffany HayesATLG1787022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.52889117693785046700
138Tiffany JacksonLAF1918423.025685USApril 26, 198532Texas922127122548.0010.04666.75182331382800
139Tiffany MitchellINDG1756922.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.2167086393154027700
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141Yvonne TurnerPHOG1755919.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.6111324301813215100
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
12Amanda Zahui B.NYC19611329.414827SEAugust 9, 199324Minnesota325133205337.72825.091275.051823745125100
23Brionna JonesCONF19110428.507990USDecember 18, 199521MarylandR19112142653.8000.0161984.211142527174400
36Courtney ParisDALC19311330.336385USSeptember 21, 198729Oklahoma716217325756.1000.061250.0283462568187000
41Danielle AdamsCONF/C18510831.555880USFebruary 19, 198928Texas A&M51881164337.2123040.055100.0641044474900
89Lynetta KizerCONC19310427.920213USApril 4, 199027Maryland5202384810048.0010.0233076.722355761171011900
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NY C 196 113 29.414827 SE \n", + "23 Brionna Jones CON F 191 104 28.507990 US \n", + "36 Courtney Paris DAL C 193 113 30.336385 US \n", + "41 Danielle Adams CON F/C 185 108 31.555880 US \n", + "89 Lynetta Kizer CON C 193 104 27.920213 US \n", + "\n", + " Birthdate Age College Experience Games Played MIN FGM \\\n", + "12 August 9, 1993 24 Minnesota 3 25 133 20 \n", + "23 December 18, 1995 21 Maryland R 19 112 14 \n", + "36 September 21, 1987 29 Oklahoma 7 16 217 32 \n", + "41 February 19, 1989 28 Texas A&M 5 18 81 16 \n", + "89 April 4, 1990 27 Maryland 5 20 238 48 \n", + "\n", + " FGA FG% 3PM 3PA 3P% FTM FTA FT% OREB DREB REB AST STL \\\n", + "12 53 37.7 2 8 25.0 9 12 75.0 5 18 23 7 4 \n", + "23 26 53.8 0 0 0.0 16 19 84.2 11 14 25 2 7 \n", + "36 57 56.1 0 0 0.0 6 12 50.0 28 34 62 5 6 \n", + "41 43 37.2 12 30 40.0 5 5 100.0 6 4 10 4 4 \n", + "89 100 48.0 0 1 0.0 23 30 76.7 22 35 57 6 11 \n", + "\n", + " BLK TO PTS DD2 TD3 \n", + "12 5 12 51 0 0 \n", + "23 1 7 44 0 0 \n", + "36 8 18 70 0 0 \n", + "41 4 7 49 0 0 \n", + "89 7 10 119 0 0 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "#your code here\n", + "mask_a = wnba['Age']>=34\n", + "#wnba[mask_a]\n", + "mask_w = wnba['Weight']>=100\n", + "wnba[mask_w]" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -89,11 +1214,99 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "plt.hist(wnba['Age'], bins=20)\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of Age')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(wnba['Weight'], bins=20)\n", + "plt.xlabel('Weight')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of weight')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(wnba['Height'], bins=20)\n", + "plt.xlabel('Height')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of Height')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "plt.hist(wnba['BMI'], bins=30)\n", + "plt.xlabel('BMI')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of BMI')\n", + "plt.show()" ] }, { @@ -109,7 +1322,8 @@ "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n", + "#weight and hight are very spread out across players" ] }, { @@ -134,11 +1348,75 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "plt.hist(wnba['REB'], bins=30)\n", + "plt.xlabel('REB')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of REB')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(wnba['AST'], bins=30)\n", + "plt.xlabel('Number AST')\n", + "plt.ylabel('Players')\n", + "plt.title('Distribution of AST')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "plt.hist(wnba['BLK'], bins=30)\n", + "plt.xlabel('BLK')\n", + "plt.ylabel('Count')\n", + "plt.title('Distribution of BLK')\n", + "plt.show()" ] }, { @@ -150,11 +1428,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n" ] }, { @@ -173,11 +1451,78 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "re_min = wnba['AST']/wnba['MIN']\n", + "plt.hist(re_min, bins=30)\n", + "plt.xlabel('AST/min')\n", + "plt.ylabel('Count')\n", + "plt.title('AST/min')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "r_min = wnba['REB']/wnba['MIN']\n", + "plt.hist(r_min, bins=30)\n", + "plt.xlabel('REB/min')\n", + "plt.ylabel('Count')\n", + "plt.title('REB/min')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "b_min = wnba['BLK']/wnba['MIN']\n", + "plt.hist(b_min, bins=30)\n", + "plt.xlabel('BLK/min')\n", + "plt.ylabel('Count')\n", + "plt.title('BLK/min')\n", + "plt.show()" ] }, { @@ -189,11 +1534,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n" ] }, { @@ -228,7 +1573,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -242,7 +1587,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" } }, "nbformat": 4, diff --git a/your-code/3.-Inferential-Analysis.ipynb b/your-code/3.-Inferential-Analysis.ipynb index 366765b..4090bb5 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": 14, "metadata": {}, "outputs": [], "source": [ @@ -46,11 +46,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "#your code here" + "#your code here\n", + "\n", + "wnba = pd.read_csv('wnba_clean.csv')" ] }, { @@ -70,11 +72,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "# your answer here" + "# your answer here\n", + "# first need to know what's the average weight of a professional female basketball player.\n", + "#infer average weight\n", + "#We could calculate a confidence interval to do the inference, but do you know any other ways?" ] }, { @@ -86,11 +91,27 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here" + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(77.17665079176093, 80.78109568711231)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your code here\n", + "mean = np.mean(wnba['Weight'])\n", + "std = np.std(wnba['Weight'])\n", + "n = wnba['Weight'].count()\n", + "\n", + "stats.norm.interval(0.95, loc=mean, scale=std/np.sqrt(n))\n" ] }, { @@ -102,11 +123,24 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "78.97887323943662" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your-answer-here" + "#your-answer-here\n", + "#the majority weights almost 80kg\n", + "mean" ] }, { @@ -118,11 +152,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#your-answer-here\n", + "#tell your grandaughter to play golf" ] }, { @@ -134,11 +169,519 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here" + "execution_count": 7, + "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
...................................................................................................
137Tiffany HayesATLG1787022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.52889117693785046700
138Tiffany JacksonLAF1918423.025685USApril 26, 198532Texas922127122548.0010.04666.75182331382800
139Tiffany MitchellINDG1756922.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.2167086393154027700
140Tina CharlesNYF/C1938422.550941USMay 12, 198829Connecticut82995222750944.6185632.111013581.55621226875212271582110
141Yvonne TurnerPHOG1755919.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.6111324301813215100
\n", + "

142 rows × 32 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 \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", + "137 37 8 50 467 0 0 \n", + "138 1 3 8 28 0 0 \n", + "139 31 5 40 277 0 0 \n", + "140 21 22 71 582 11 0 \n", + "141 18 1 32 151 0 0 \n", + "\n", + "[142 rows x 32 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your code here\n", + "wnba" ] }, { @@ -154,11 +697,29 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, - "outputs": [], - "source": [ - "# your answer here" + "outputs": [ + { + "data": { + "text/plain": [ + "0.09859154929577464" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your answer here\n", + "#FT 40%\n", + "\n", + "wnba40 = wnba[wnba['FT%'] < 60]\n", + "\n", + "# Calculate the proportion\n", + "percentage = (len(wnba40) / len(wnba))\n", + "percentage\n" ] }, { @@ -170,11 +731,35 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, - "outputs": [], - "source": [ - "# your code here" + "outputs": [ + { + "data": { + "text/plain": [ + "(0.049558988317297346, 0.14762411027425193)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p = percentage\n", + "SE = math.sqrt((p * (1 - p)) / len(wnba))\n", + "\n", + "# Set the desired confidence level\n", + "confidence_level = 0.95\n", + "\n", + "# Calculate the z-score for the given confidence level\n", + "z = stats.norm.ppf(1 - (1 - confidence_level) / 2)\n", + "\n", + "# Calculate the margin of error\n", + "ME = z * SE\n", + "\n", + "# Calculate the lower and upper bounds of the confidence interval\n", + "stats.norm.interval(confidence_level, loc=p, scale=SE)" ] }, { @@ -186,11 +771,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#your-answer-here\n" ] }, { @@ -227,11 +812,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#your-answer-here\n", + "avg_both = 52\n", + "\n", + "ass = wnba['AST']\n" ] }, { @@ -243,11 +831,25 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Ttest_1sampResult(statistic=-2.1499947192482898, pvalue=0.033261541354107166)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "#your code here\n", + "#H0: avg_both\n", + "#H1 wnba_ass > avg_both\n", + "stats.ttest_1samp(ass, avg_both)" ] }, { @@ -343,7 +945,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -357,7 +959,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" } }, "nbformat": 4, diff --git a/your-code/wnba.csv b/your-code/wnba.csv new file mode 100644 index 0000000..bb13374 --- /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_clean.csv b/your-code/wnba_clean.csv new file mode 100644 index 0000000..3bf5421 --- /dev/null +++ b/your-code/wnba_clean.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