diff --git a/analysis/analysis1.ipynb b/analysis/analysis1.ipynb
index 8dce16d..491a0d9 100644
--- a/analysis/analysis1.ipynb
+++ b/analysis/analysis1.ipynb
@@ -36,7 +36,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -53,7 +53,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -79,7 +79,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -92,56 +92,134 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " state | \n",
+ " county | \n",
+ " party | \n",
+ " votes | \n",
+ " total | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " AL | \n",
+ " Autauga | \n",
+ " Democrat | \n",
+ " 6363 | \n",
+ " 23932 | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " AL | \n",
+ " Autauga | \n",
+ " Republican | \n",
+ " 17379 | \n",
+ " 23932 | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " AL | \n",
+ " Autauga | \n",
+ " Other | \n",
+ " 190 | \n",
+ " 23932 | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " AL | \n",
+ " Baldwin | \n",
+ " Democrat | \n",
+ " 18424 | \n",
+ " 85338 | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " AL | \n",
+ " Baldwin | \n",
+ " Republican | \n",
+ " 66016 | \n",
+ " 85338 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " state county party votes total\n",
+ "0 AL Autauga Democrat 6363 23932\n",
+ "1 AL Autauga Republican 17379 23932\n",
+ "2 AL Autauga Other 190 23932\n",
+ "3 AL Baldwin Democrat 18424 85338\n",
+ "4 AL Baldwin Republican 66016 85338"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# We only want 2012--the latest election before the gb data was collected\n",
- "pol = pol[pol[\"year\"] == 2012].reset_index()\n",
+ "pol = pol.query(\"`year` == 2012\") \\\n",
+ " .reset_index() \\\n",
+ " .drop([\n",
+ " \"year\", \"state\", \"county_fips\", \"office\",\n",
+ " \"candidate\", \"version\", \"mode\", \"index\",\n",
+ " ], axis=\"columns\") \\\n",
+ " .rename({\n",
+ " \"county_name\": \"county\",\n",
+ " \"state_po\": \"state\",\n",
+ " \"candidatevotes\": \"votes\",\n",
+ " \"totalvotes\": \"total\"\n",
+ " }, axis=\"columns\") \\\n",
+ " .apply(lambda x: x.str.capitalize() if x.name == \"county\" or x.name == \"party\" else x)\n",
"\n",
- "# Get rid of undesireable columns\n",
- "pol = pol.drop([\n",
- " \"year\", \"state\", \"county_fips\", \"office\",\n",
- " \"candidate\", \"version\", \"mode\", \"index\",\n",
- "], axis=\"columns\")\n",
- "\n",
- "# Change the column names to make them a little more friendly\n",
- "pol.rename({\n",
- " \"county_name\": \"county\",\n",
- " \"state_po\": \"state\",\n",
- " \"candidatevotes\": \"votes\",\n",
- " \"totalvotes\": \"total\"\n",
- "}, axis=\"columns\", inplace=True)\n",
- "\n",
- "# Make cells lowercase\n",
- "pol[\"county\"] = pol[\"county\"].apply(lambda x: x.capitalize())\n",
- "pol[\"party\"] = pol[\"party\"].apply(lambda x: x.capitalize())"
+ "pol.head()"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Let's add long/lat columns to gb\n",
- "gb = gb.merge(cords, left_on=\"GEOID10\", right_on=\"ZIP\")\n",
- "\n",
- "# Get rid of unneeded columns\n",
- "gb = gb.drop([\n",
- " \"Mjoint_MF\", \"Mjoint_SS\", \"Mjoint_FF\", \"Mjoint_MM\",\n",
- " \"Cns_TotHH\", \"Cns_UPSS\", \"Cns_UPFF\", \"Cns_UPMM\",\n",
- " \"ParadeFlag\", \"FF_Tax\", \"FF_Cns\", \"MM_Tax\", \"MM_Cns\",\n",
- " \"SS_Index_Weight\", \"Parade_Weight\", \"Bars_Weight\",\n",
- " \"GEOID10\", \"ZIP\",\n",
- "], axis=\"columns\")\n",
- "\n",
- "# There's a lot of info baked into some of these columns. Especially the composite indexes.\n",
- "# We'll leave their names as is for easy reference even if they're a little ugly.\n",
- "gb = gb.rename({\n",
- " \"LAT\": \"lat\",\n",
- " \"LNG\": \"long\",\n",
- "}, axis=\"columns\")"
+ "gb = gb.merge(cords, left_on=\"GEOID10\", right_on=\"ZIP\") \\\n",
+ " .drop([\n",
+ " \"Mjoint_MF\", \"Mjoint_SS\", \"Mjoint_FF\", \"Mjoint_MM\",\n",
+ " \"Cns_TotHH\", \"Cns_UPSS\", \"Cns_UPFF\", \"Cns_UPMM\",\n",
+ " \"ParadeFlag\", \"FF_Tax\", \"FF_Cns\", \"MM_Tax\", \"MM_Cns\",\n",
+ " \"SS_Index_Weight\", \"Parade_Weight\", \"Bars_Weight\",\n",
+ " \"GEOID10\", \"ZIP\",\n",
+ " ], axis=\"columns\") \\\n",
+ " .rename({\n",
+ " \"LAT\": \"lat\",\n",
+ " \"LNG\": \"long\",\n",
+ " }, axis=\"columns\")"
]
},
{
@@ -153,7 +231,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -226,7 +304,7 @@
"4 Cedar IA 41.772360 -91.132610"
]
},
- "execution_count": 11,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -237,10 +315,8 @@
" row[\"name\"] = f\"{row['name']} {row['STUSAB']}\"\n",
" return row\n",
"\n",
- "counties = counties.apply(combine_name_state, axis=\"columns\")\n",
- "\n",
- "# We don't need this column anymore\n",
- "counties = counties.drop([\"STUSAB\"], axis=\"columns\")\n",
+ "counties = counties.apply(combine_name_state, axis=\"columns\") \\\n",
+ " .drop([\"STUSAB\"], axis=\"columns\")\n",
"\n",
"counties.to_csv(\"../data/processed/us-county-boundaries.csv\")\n",
"counties.head()"
@@ -248,7 +324,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -272,74 +348,80 @@
" \n",
" \n",
" | \n",
+ " county | \n",
" party | \n",
" votes | \n",
" total | \n",
- " percent | \n",
" lat | \n",
" long | \n",
+ " percent | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
+ " Autauga AL | \n",
" Democrat | \n",
" 6363 | \n",
" 23932 | \n",
- " 0.265878 | \n",
" 32.532237 | \n",
" -86.646439 | \n",
+ " 0.265878 | \n",
"
\n",
" \n",
" 1 | \n",
+ " Autauga AL | \n",
" Republican | \n",
" 17379 | \n",
" 23932 | \n",
- " 0.726183 | \n",
" 32.532237 | \n",
" -86.646439 | \n",
+ " 0.726183 | \n",
"
\n",
" \n",
" 2 | \n",
+ " Autauga AL | \n",
" Other | \n",
" 190 | \n",
" 23932 | \n",
- " 0.007939 | \n",
" 32.532237 | \n",
" -86.646439 | \n",
+ " 0.007939 | \n",
"
\n",
" \n",
" 3 | \n",
+ " Baldwin AL | \n",
" Democrat | \n",
" 18424 | \n",
" 85338 | \n",
- " 0.215894 | \n",
" 30.659218 | \n",
" -87.746067 | \n",
+ " 0.215894 | \n",
"
\n",
" \n",
" 4 | \n",
+ " Baldwin AL | \n",
" Republican | \n",
" 66016 | \n",
" 85338 | \n",
- " 0.773583 | \n",
" 30.659218 | \n",
" -87.746067 | \n",
+ " 0.773583 | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " party votes total percent lat long\n",
- "0 Democrat 6363 23932 0.265878 32.532237 -86.646439\n",
- "1 Republican 17379 23932 0.726183 32.532237 -86.646439\n",
- "2 Other 190 23932 0.007939 32.532237 -86.646439\n",
- "3 Democrat 18424 85338 0.215894 30.659218 -87.746067\n",
- "4 Republican 66016 85338 0.773583 30.659218 -87.746067"
+ " county party votes total lat long percent\n",
+ "0 Autauga AL Democrat 6363 23932 32.532237 -86.646439 0.265878\n",
+ "1 Autauga AL Republican 17379 23932 32.532237 -86.646439 0.726183\n",
+ "2 Autauga AL Other 190 23932 32.532237 -86.646439 0.007939\n",
+ "3 Baldwin AL Democrat 18424 85338 30.659218 -87.746067 0.215894\n",
+ "4 Baldwin AL Republican 66016 85338 30.659218 -87.746067 0.773583"
]
},
- "execution_count": 12,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -350,16 +432,10 @@
" row[\"county\"] = f\"{row['county']} {row['state']}\"\n",
" return row\n",
"\n",
- "pol = pol.apply(combine_name_state, axis=\"columns\")\n",
- "\n",
- "# Add a percent column which will be useful when graphing\n",
- "pol[\"percent\"] = pol[\"votes\"] / pol[\"total\"]\n",
- "\n",
- "# Attach long/lat data to each row\n",
- "pol = pol.merge(counties, left_on=\"county\", right_on=\"name\")\n",
- "\n",
- "# Now we can get rid of the state columns\n",
- "pol = pol.drop([\"state\", \"name\", \"county\"], axis=\"columns\")\n",
+ "pol = pol.apply(combine_name_state, axis=\"columns\") \\\n",
+ " .merge(counties, left_on=\"county\", right_on=\"name\") \\\n",
+ " .drop([\"state\", \"name\"], axis=\"columns\") \\\n",
+ " .assign(percent=lambda x: x.votes/x.total)\n",
"\n",
"pol.to_csv(\"../data/processed/election-2012.csv\", index=False)\n",
"pol.head()"
@@ -367,7 +443,7 @@
},
{
"cell_type": "code",
- "execution_count": 87,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -520,7 +596,7 @@
"4 37.773134 -122.411167 "
]
},
- "execution_count": 87,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -543,12 +619,12 @@
},
{
"cell_type": "code",
- "execution_count": 109,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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",
+ "image/png": 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\n",
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