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Copy pathnp statistics (mean, medium, corrcoef).ipynb.json
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np statistics (mean, medium, corrcoef).ipynb.json
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# np_baseball is available\n",
"\n",
"# Import numpy\n",
"import numpy as np\n",
"\n",
"# Print mean height (first column)\n",
"avg = np.mean(np_baseball[:,0])\n",
"print(\"Average: \" + str(avg))\n",
"\n",
"# Print median height. Replace 'None'\n",
"med = np.median(np_baseball[:,0])\n",
"print(\"Median: \" + str(med))\n",
"\n",
"# Print out the standard deviation on height. Replace 'None'\n",
"stddev = np.std(np_baseball[:,0])\n",
"print(\"Standard Deviation: \" + str(stddev))\n",
"\n",
"# Print out correlation between first and second column. Replace 'None'\n",
"corr = np.corrcoef(np_baseball[:,0],np_baseball[:,1])\n",
"print(\"Correlation: \" + str(corr))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}