Do a day-of-week donation analysis

front-seat · Dec 4, 2023 · 89cda2c · 89cda2c
1 parent 7e2383c
commit 89cda2c
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diff --git a/data/.DS_Store b/data/.DS_Store
diff --git a/notebooks/when-donate.ipynb b/notebooks/when-donate.ipynb
@@ -11,7 +11,7 @@
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@@ -36,14 +36,14 @@
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      "text": [
-      "100%|██████████| 70659611/70659611 [01:17<00:00, 914596.13it/s] \n"
+      "100%|██████████| 70659611/70659611 [01:16<00:00, 922617.11it/s] \n"
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@@ -124,7 +124,7 @@
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     {
@@ -185,6 +185,79 @@
     "ax.yaxis.set_major_formatter(mtick.StrMethodFormatter(\"${x:,.0f}\"))\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There seems to be a very strong day-of-week behavior in this data. What day of the week tends to get the most donations?  What day of the week gets the least?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total contribution amount and number of contributors by day of week:\n",
+      "Day of week: Tuesday\n",
+      "Total amount: $203,150,766\n",
+      "Number of contributors: 953,760\n",
+      "\n",
+      "Day of week: Sunday\n",
+      "Total amount: $177,424,293\n",
+      "Number of contributors: 817,579\n",
+      "\n",
+      "Day of week: Monday\n",
+      "Total amount: $176,489,050\n",
+      "Number of contributors: 909,178\n",
+      "\n",
+      "Day of week: Wednesday\n",
+      "Total amount: $166,863,743\n",
+      "Number of contributors: 812,352\n",
+      "\n",
+      "Day of week: Thursday\n",
+      "Total amount: $149,479,020\n",
+      "Number of contributors: 702,626\n",
+      "\n",
+      "Day of week: Friday\n",
+      "Total amount: $83,420,324\n",
+      "Number of contributors: 664,096\n",
+      "\n",
+      "Day of week: Saturday\n",
+      "Total amount: $83,191,962\n",
+      "Number of contributors: 629,041\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# For each of the seven days of the week, compute the average contribution amount and number of contributors\n",
+    "import datetime\n",
+    "from collections import defaultdict\n",
+    "\n",
+    "contributions_by_day_of_week: dict[int, tuple[float, int]] = defaultdict(lambda: (0.0, 0))\n",
+    "for date, amount_usd in contributions:\n",
+    "  day_of_week = date.weekday()\n",
+    "  total_amount_usd, num_contributors = contributions_by_day_of_week[day_of_week]\n",
+    "  total_amount_usd += amount_usd\n",
+    "  num_contributors += 1\n",
+    "  contributions_by_day_of_week[day_of_week] = (total_amount_usd, num_contributors)\n",
+    "\n",
+    "# Sort by total amount\n",
+    "contributions_by_day_of_week = dict(sorted(contributions_by_day_of_week.items(), key=lambda x: x[1][0], reverse=True))\n",
+    "\n",
+    "# Print the results\n",
+    "print(\"Total contribution amount and number of contributors by day of week:\")\n",
+    "for day_of_week, (total_amount_usd, num_contributors) in contributions_by_day_of_week.items():\n",
+    "  print(f\"Day of week: {datetime.date(2020, 1, 5 + day_of_week).strftime('%A')}\")\n",
+    "  print(f\"Total amount: ${total_amount_usd:,.0f}\")\n",
+    "  print(f\"Number of contributors: {num_contributors:,}\")\n",
+    "  print()\n"
+   ]
   }
  ],
  "metadata": {