data-ayyadurai-2.ipynb

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    "### Performing Ayyadurai's Analysis, This Time On Democrats\n",
    "\n",
    "We'll do the same operations as Ayyadurai. We'll take fractions of the straight-ticket vote for Democrats, and fraction of votes for Biden among split-ticket voters to conduct our analysis.\n",
    "\n",
    "To get split-ticket voter percentages alone, we need to remove straight-ticket votes we know go towards candidates. This is to get as close to Ayyadurai's quantities as possible."
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    "split_ticket_data = presidential_vote_data.copy()\n",
    "split_ticket_data[\"biden\"] -= straight_ticket_data[\"Democratic Party\"]\n",
    "split_ticket_data[\"trump\"] -= straight_ticket_data[\"Republican Party\"]\n",
    "split_ticket_data[\"jorgensen\"] -= straight_ticket_data[\"Libertarian Party\"]\n",
    "split_ticket_data[\"blankenship\"] -= straight_ticket_data[\"U.S. Taxpayers Party\"]\n",
    "split_ticket_data[\"hawkins\"] -= straight_ticket_data[\"Green Party\"]\n",
    "split_ticket_data[\"rocky\"] -= straight_ticket_data[\"Natural Law Party\"]"
   ]
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    "# Get totals so we can frame our numbers as percentages\n",
    "\n",
    "straight_ticket_data[\"totals\"] = straight_ticket_data.sum(axis=1)\n",
    "split_ticket_data[\"totals\"] = split_ticket_data.sum(axis=1)"
   ]
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   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get percentages\n",
    "straight_ticket_data[\"%_democrat\"] = (\n",
    "    straight_ticket_data[\"Democratic Party\"] / straight_ticket_data[\"totals\"]\n",
    ")\n",
    "split_ticket_data[\"%_biden\"] = (\n",
    "    split_ticket_data[\"biden\"] / split_ticket_data[\"totals\"]\n",
    ")"
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   "metadata": {},
   "source": [
    "Now we can plot precinct percentages."
   ]
  }
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