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undergrad-uh401/explore.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 28,
"id": "eeee645e-48b5-4bdf-a386-e3354c8ac46a",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"import numpy as np\n",
"import awkward as ak\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e18b60a6-be26-473b-9938-c9d18c28b8aa",
"metadata": {},
"outputs": [],
"source": [
"scorecard_dir = \"data/scorecard\"\n",
"scorecard_dir = os.path.join(scorecard_dir, os.listdir(scorecard_dir)[0])\n",
"data = ak.from_parquet(os.path.join(scorecard_dir, \"merged.parquet\"))"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "45b02475-f4cb-4830-8367-05ef5eefaaee",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" [0.0096, 0.0145, 0.0133, 0.0124, 0.0134, ..., 0.0145, 0.0189, 0.0226, 0.0231],\n",
" [0.0203, 0.0191, 0.0152, 0.0252, 0.0208, ..., 0.0465, 0.0382, 0.0413, 0.0514],\n",
" [0.0167, 0.0158, 0.0111, 0.0253, 0.0059, ..., 0.0125, 0.0255, 0.0063, 0.0126],\n",
" [0.0142, 0.0116, 0.006, 0.0073, 0.0105, ..., 0.01, 0.0087, 0.0095, 0.0106],\n",
" [0.009, 0.0063, 0.0047, 0.0105, 0.0066, ..., 0.0015, 0.0084, 0.004, 0, 0.0028],\n",
" [0.0144, 0.0101, 0.0062, 0.0142, 0.0108, ..., 0.0193, 0.0276, 0.0147, 0.0099],\n",
" [0.0075, 0.0082, 0.0091, 0.0079, 0.0077, ..., 0.0113, 0.007, 0.0099, 0.0083],\n",
" [0.0268, 0.0095, 0.015, 0.0176, 0.0221, ..., 0.0498, 0.0268, 0.0114, 0.0216],\n",
" [0.0354, 0.0303, 0.0208, 0.048, 0.0403, ..., 0.0129, 0.0123, 0.0098, 0.0058],\n",
" ...,\n",
" [0, 0, 0, 0.001, 0, 0, 0, 0, 0.0007, 0, 0, ..., 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [0.108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ..., 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [0, 0.0037, 0.0064, 0.0098, 0.0065, ..., 0.0049, 0.0067, 0.0113, 0.0051],\n",
" [0.0018, 0.005, 0.0093, 0.0052, 0.008, ..., 0.008, 0.006, 0.0063, 0.0076],\n",
" [0, 0, 0, 0, 0, 0, 0, ..., 0.0053, 0.0132, 0.015, 0.0145, 0.0162, 0.0182],\n",
" [0, 0, 0, 0, 0, 0, 0.0062, ..., 0.0478, 0.0467, 0.059, 0.044, 0.0253, 0.0164],\n",
" [0, 0, 0, 0.0125, 0, 0, 0, 0, 0, 0, 0, ..., 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
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" [0, 0, 0, 0, 0.0046, 0.0092, ..., 0.0014, 0.0012, 0.0009, 0.0011, 0.0002]]\n",
"--------------------------------------------------------------------------------\n",
"backend: cpu\n",
"nbytes: 2.8 MB\n",
"type: 1576 * 28 * float64</pre>"
],
"text/plain": [
"<Array [[0.0068, 0.0267, ..., 0.0117, 0.0137], ...] type='1576 * 28 * float64'>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mask_nan = ~ak.any(np.isnan(data.academics.program_percentage.physical_science), axis=1)\n",
"mask_all_zero = ~ak.all(data.academics.program_percentage.physical_science == 0, axis=1)\n",
"mask = mask_nan & mask_all_zero"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "2455fa7a-60cc-44e3-9682-76012682503b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x739dc95e00e0>"
]
},
"execution_count": 65,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data_m = data[mask]\n",
"for key in data_m.academics.program_percentage.fields:\n",
" mean = ak.mean(data_m.academics.program_percentage[key], axis=0)\n",
" if ak.mean(mean) < 0.03:\n",
" continue\n",
" plt.plot(mean * 100, label=key)\n",
"plt.legend()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}