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added index for change between census tracts as one confounding explanation for percent change in population demographics
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3 changed files with 3172 additions and 23 deletions
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@ -1001,7 +1001,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,
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@ -2397,28 +2397,8 @@
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"# these are not converted into percent 0 - 100 scale\n",
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"percent_cols = [x for x in combined_df_percent_cols_df.columns if \n",
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" 'Percent' in x or '(percent)' in x\n",
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" ]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/sarahluw/justice-40-main/justice40-tool/data/data-pipeline/justifce-40-main-env/lib/python3.7/site-packages/pandas/core/frame.py:3641: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" self[k1] = value[k2]\n"
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]
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}
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],
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"source": [
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" ]\n",
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"\n",
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"combined_df_percent_cols_df[\n",
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" percent_cols] = combined_df_percent_cols_df[\n",
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" percent_cols].apply(lambda x: x * 100)"
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