CommitsAndConventionPatternAnalysis_20231210.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5e25afb-f09a-4df4-b5f7-e47728e75be6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82bcecde-df9a-4a02-bf74-3a8df8021733",
   "metadata": {},
   "source": [
    "# Commit Patterns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "817d98a6-735f-4f0c-985d-62fdd2a2e132",
   "metadata": {},
   "source": [
    "### 깃헙 커밋이 가장 활발하게 일어나는 시간대는?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8b8f48e2-4aa0-463b-82a4-6d179aa523a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c3b344183ab4d419af242498698a0a1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "548553ee3bb044739c9b13b54a2cedb0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery hourly_commit_counts\n",
    "SELECT \n",
    "  EXTRACT(HOUR FROM TIMESTAMP_SECONDS(committer.date.seconds)) AS hour_of_day,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "GROUP BY\n",
    "  hour_of_day\n",
    "ORDER BY\n",
    "  hour_of_day;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5d77871d-0415-47ee-b0dd-6477062162fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_hours = pd.DataFrame({'hour_of_day': range(1,24)})\n",
    "hourly_commit_counts = pd.merge(all_hours, hourly_commit_counts, on='hour_of_day', how='left')\n",
    "\n",
    "hourly_commit_counts['commit_count'] = hourly_commit_counts['commit_count'].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f4810a85-54e1-4e68-abe7-5a822d2361c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hour_of_day</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7674983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>7267032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7003084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>6658097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>6790185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7379197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>8516162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>9984912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>11395872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>11022905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>11058736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>11963506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>13576066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>14944077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>15455959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>14889284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>13941761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>13676596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>13776282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>14038128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>13565526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>11995478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>10067590</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    hour_of_day  commit_count\n",
       "0             1       7674983\n",
       "1             2       7267032\n",
       "2             3       7003084\n",
       "3             4       6658097\n",
       "4             5       6790185\n",
       "5             6       7379197\n",
       "6             7       8516162\n",
       "7             8       9984912\n",
       "8             9      11395872\n",
       "9            10      11022905\n",
       "10           11      11058736\n",
       "11           12      11963506\n",
       "12           13      13576066\n",
       "13           14      14944077\n",
       "14           15      15455959\n",
       "15           16      14889284\n",
       "16           17      13941761\n",
       "17           18      13676596\n",
       "18           19      13776282\n",
       "19           20      14038128\n",
       "20           21      13565526\n",
       "21           22      11995478\n",
       "22           23      10067590"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_commit_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f750c181-6fb8-4c89-bde6-12219b7d685d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(hourly_commit_counts['hour_of_day'], hourly_commit_counts['commit_count'], marker='o')\n",
    "plt.title('Commit Count by Hour of Day')\n",
    "plt.xlabel('Hour of Day (UTC)')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.grid(True)\n",
    "plt.xticks(range(0, 24))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1228b95-1387-404c-8519-818f04183cf3",
   "metadata": {},
   "source": [
    "위 그래프는 UTC 기준으로 발생한 시점을 보여주기 때문에 커미터의 시간대를 고려하지 않음\n",
    "\n",
    "따라서 로컬 시간대로 변환하는 쿼리로 재진행:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "58fedc0a-538a-4a21-8e99-58c94c9b5000",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e5d0312d0fc24f168aeaef91b94f980c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2a72f7d42997429cae99f5781f1b8c61",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery hourly_commit_counts_local\n",
    "SELECT \n",
    "  EXTRACT(HOUR FROM TIMESTAMP_SECONDS(committer.date.seconds + committer.tz_offset * 60)) AS local_hour_of_day,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "GROUP BY\n",
    "  local_hour_of_day\n",
    "ORDER BY\n",
    "  local_hour_of_day;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0d87804f-8a29-4bc9-80ff-fcfa3b9e91ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>local_hour_of_day</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>8838926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>5854315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4100412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3063010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2467000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   local_hour_of_day  commit_count\n",
       "0                  0       8838926\n",
       "1                  1       5854315\n",
       "2                  2       4100412\n",
       "3                  3       3063010\n",
       "4                  4       2467000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_hours = pd.DataFrame({'local_hour_of_day': range(0, 24)})\n",
    "hourly_commit_counts_local = pd.merge(all_hours, hourly_commit_counts_local, on='local_hour_of_day', how='left')\n",
    "\n",
    "hourly_commit_counts_local['commit_count'] = hourly_commit_counts_local['commit_count'].fillna(0)\n",
    "hourly_commit_counts_local.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "42fb4346-d46c-4ec4-92e8-00bfef07a8fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(hourly_commit_counts_local['local_hour_of_day'], hourly_commit_counts_local['commit_count'], marker='o')\n",
    "plt.title('Commit Count by Hour of Day')\n",
    "plt.xlabel('Local Hour of Day')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.grid(True)\n",
    "plt.xticks(range(0, 24))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ab02c40-feaf-40ea-ad50-36e2525468c0",
   "metadata": {},
   "source": [
    "### 깃헙 커밋이 가장 활발하게 일어나는 달은?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ef5e93c5-b6d4-4b76-b2f6-97e56f6fea17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e617c51e70574c31bd99060387814404",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "84fa64da3da045d198b677daebff0ec9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_month_df\n",
    "SELECT\n",
    "  FORMAT_TIMESTAMP('%Y-%m', TIMESTAMP_SECONDS(committer.date.seconds)) AS commit_month,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "GROUP BY\n",
    "  commit_month\n",
    "ORDER BY\n",
    "  commit_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f99a4441-7b04-49d5-9396-60f1961529a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "829    2088-01\n",
       "830    2088-11\n",
       "831    2099-05\n",
       "832    2099-06\n",
       "833    2104-03\n",
       "834    2104-11\n",
       "835    2107-11\n",
       "836    2116-03\n",
       "837    2184-06\n",
       "838    2245-02\n",
       "Name: commit_month, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commits_by_month_df.commit_month.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea695ac9-70c9-4691-8256-60f7e9faff14",
   "metadata": {},
   "source": [
    "미래의 날짜 제외하는 쿼리로 재진행:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f5d923ba-012f-412d-9f2e-8bf1a23260af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a2ee5241a43b40b99cb35525dd2d1eaf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d053b6db3804f0ba8763263658eb8b9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_month_df2\n",
    "SELECT\n",
    "  FORMAT_TIMESTAMP('%Y-%m', TIMESTAMP_SECONDS(committer.date.seconds)) AS commit_month,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "WHERE\n",
    "  TIMESTAMP_SECONDS(committer.date.seconds) <= CURRENT_TIMESTAMP()\n",
    "GROUP BY\n",
    "  commit_month\n",
    "ORDER BY\n",
    "  commit_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "71bd8640-8567-48f6-986f-2f7132d22961",
   "metadata": {},
   "outputs": [],
   "source": [
    "commits_by_month_df2['month'] = commits_by_month_df2['commit_month'].str[-2:]\n",
    "commits_aggregated = commits_by_month_df2.groupby('month')['commit_count'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3369d32c-d15a-48c9-acda-6f70e5383a7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(commits_aggregated['month'], commits_aggregated['commit_count'], marker='o')\n",
    "plt.title('Commit Count Aggregated by Month (January to December)')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Commit Count')\n",
    "plt.grid(True)\n",
    "plt.xticks(range(12), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "589f0c3e-4f0e-4fe9-ab09-915a3f15cba7",
   "metadata": {},
   "source": [
    "## 대륙별 커밋 수\n",
    "\n",
    "데이터셋에 location 정보가 없는 관계로 timezone offset 정보를 이용해 임의로 대륙을 분류"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d7b4e272-676a-4e8f-a367-8bb446cc2ea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d85f74d251e4bf492d94c17a16f0d05",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bfedecf5c50546df97ba12f8d8f623d9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_continent_df\n",
    "SELECT\n",
    "  CASE\n",
    "    WHEN committer.tz_offset BETWEEN -600 AND -300 THEN 'North America'\n",
    "    WHEN committer.tz_offset BETWEEN -240 AND 60 THEN 'South America'\n",
    "    WHEN committer.tz_offset BETWEEN 0 AND 180 THEN 'Europe/Africa'\n",
    "    WHEN committer.tz_offset BETWEEN 180 AND 420 THEN 'Asia'\n",
    "    WHEN committer.tz_offset >= 420 THEN 'Oceania'\n",
    "    ELSE 'Unknown'\n",
    "  END AS continent,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "GROUP BY\n",
    "  continent\n",
    "ORDER BY\n",
    "  commit_count DESC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8d6af252-f67b-4eb4-9c94-baf6ef37f2e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>continent</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South America</td>\n",
       "      <td>113411759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>North America</td>\n",
       "      <td>62177660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Europe/Africa</td>\n",
       "      <td>54845450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>25704003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Asia</td>\n",
       "      <td>9187240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       continent  commit_count\n",
       "0  South America     113411759\n",
       "1  North America      62177660\n",
       "2  Europe/Africa      54845450\n",
       "3        Oceania      25704003\n",
       "4           Asia       9187240"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commits_by_continent_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "be2591dc-fd01-434d-9523-ee48a6176b09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.pie(commits_by_continent_df['commit_count'], labels=commits_by_continent_df['continent'], autopct='%1.1f%%', startangle=140)\n",
    "plt.title('Distribution of Commits by Continent')\n",
    "plt.axis('equal') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb73069f-be27-4553-9adc-8fe46dad3aa5",
   "metadata": {},
   "source": [
    "## 대륙별 월간 커밋 수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7593c3b8-d6c3-4e47-9ea6-e9953a850c50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "87bfde5bb5d947d49aea158f132b4e0c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "14137fa55eee428493b23b7f3c217ea6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_month_north_america_df\n",
    "SELECT\n",
    "  FORMAT_TIMESTAMP('%m', TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE)) AS commit_month,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "WHERE\n",
    "  TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE) <= CURRENT_TIMESTAMP()\n",
    "  AND committer.tz_offset BETWEEN -600 AND -300  -- North American time zones range\n",
    "GROUP BY\n",
    "  commit_month\n",
    "ORDER BY\n",
    "  commit_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e4ee56c4-d1be-43f6-bfda-53377ea8f7b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>commit_month</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>6940793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>7339854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>5484631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>4332348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>4312013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>4057681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>4075543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>4249955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>4121389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>4825143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>6389727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>6048108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   commit_month  commit_count\n",
       "0            01       6940793\n",
       "1            02       7339854\n",
       "2            03       5484631\n",
       "3            04       4332348\n",
       "4            05       4312013\n",
       "5            06       4057681\n",
       "6            07       4075543\n",
       "7            08       4249955\n",
       "8            09       4121389\n",
       "9            10       4825143\n",
       "10           11       6389727\n",
       "11           12       6048108"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commits_by_month_north_america_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d2a5968-d121-4276-bf5f-def83cec6f33",
   "metadata": {},
   "source": [
    "### 예. North America\n",
    "북미 대륙의 월간 커밋 수 플롯:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "17b07889-42e2-4dfd-a707-3e5d7b1c6d16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(commits_by_month_north_america_df['commit_month'], commits_by_month_north_america_df['commit_count'], color='blue')\n",
    "plt.title('Number of Commits by Month from North America')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.xticks(range(12), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1db1266-2430-430b-8193-4ec9ac09d3bc",
   "metadata": {},
   "source": [
    "### 예. Europe\n",
    "유럽 대륙의 월간 커밋 수 플롯:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f28bfbda-7d3c-4cf2-ab4e-9b692e5abbc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a144b5822a6d4734b1f5e5d1b404090c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c5e22ccc15f4e4790a7708cedc12acc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_month_europe_df\n",
    "# Europe\n",
    "SELECT\n",
    "  FORMAT_TIMESTAMP('%m', TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE)) AS commit_month,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "WHERE\n",
    "  TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE) <= CURRENT_TIMESTAMP()\n",
    "  AND committer.tz_offset BETWEEN 0 AND 240  -- European time zones range\n",
    "GROUP BY\n",
    "  commit_month\n",
    "ORDER BY\n",
    "  commit_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0f038081-2cea-45d0-9352-684097f65cea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>commit_month</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>12059627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>12245222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>13074297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>12006040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>12074115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>11417423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>11401411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>11552042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>11993799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>12523137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>11914212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>10641373</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   commit_month  commit_count\n",
       "0            01      12059627\n",
       "1            02      12245222\n",
       "2            03      13074297\n",
       "3            04      12006040\n",
       "4            05      12074115\n",
       "5            06      11417423\n",
       "6            07      11401411\n",
       "7            08      11552042\n",
       "8            09      11993799\n",
       "9            10      12523137\n",
       "10           11      11914212\n",
       "11           12      10641373"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commits_by_month_europe_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c0cd2311-7637-4d6e-8eb1-20bf0d51fc4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(commits_by_month_europe_df['commit_month'], commits_by_month_europe_df['commit_count'], color='orange')\n",
    "plt.title('Number of Commits by Month from Europe')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.xticks(range(12), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "812c7e73-7cae-427a-8145-55e608849c1f",
   "metadata": {},
   "source": [
    "### 예. Asia\n",
    "아시아 대륙의 월간 커밋 수 플롯:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d2bb71d7-a832-440e-a1d7-63462e906099",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "41158da819f84f7b9a8bbe4d88c559d9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d38db448b1fb4dfdad3006c76b846394",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery commits_by_month_asia_df\n",
    "# Asia\n",
    "SELECT\n",
    "  FORMAT_TIMESTAMP('%m', TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE)) AS commit_month,\n",
    "  COUNT(*) AS commit_count\n",
    "FROM\n",
    "  `bigquery-public-data.github_repos.commits`\n",
    "WHERE\n",
    "  TIMESTAMP_ADD(TIMESTAMP_SECONDS(committer.date.seconds), INTERVAL committer.tz_offset MINUTE) <= CURRENT_TIMESTAMP()\n",
    "  AND committer.tz_offset BETWEEN 240 AND 720  -- Asian time zones range\n",
    "GROUP BY\n",
    "  commit_month\n",
    "ORDER BY\n",
    "  commit_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e0f38173-f10a-46a7-a77a-48168d559fbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>commit_month</th>\n",
       "      <th>commit_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>2617954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>2468114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>2919609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>2929452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>3058115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>2917343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>3005688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>3029970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>2925809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>2894699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>2697217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>2612492</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   commit_month  commit_count\n",
       "0            01       2617954\n",
       "1            02       2468114\n",
       "2            03       2919609\n",
       "3            04       2929452\n",
       "4            05       3058115\n",
       "5            06       2917343\n",
       "6            07       3005688\n",
       "7            08       3029970\n",
       "8            09       2925809\n",
       "9            10       2894699\n",
       "10           11       2697217\n",
       "11           12       2612492"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "commits_by_month_asia_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "19d65eeb-e69d-4b4e-bd1f-d2b0a4e82c87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(commits_by_month_asia_df['commit_month'], commits_by_month_asia_df['commit_count'], color='green')\n",
    "plt.title('Number of Commits by Month from Asia')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.xticks(range(12), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af546d79-c881-4c34-a6e2-90098176aba0",
   "metadata": {},
   "source": [
    "### 북미, 유럽, 아시아 대륙의 월간 커밋 수 비교"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f87274d3-5224-4f66-8ffe-04d18bb7d56a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 8))\n",
    "\n",
    "# North America\n",
    "plt.plot(commits_by_month_north_america_df['commit_month'], commits_by_month_north_america_df['commit_count'], label='North America', marker='o')\n",
    "\n",
    "# Europe\n",
    "plt.plot(commits_by_month_europe_df['commit_month'], commits_by_month_europe_df['commit_count'], label='Europe', marker='s')\n",
    "\n",
    "# Asia\n",
    "plt.plot(commits_by_month_asia_df['commit_month'], commits_by_month_asia_df['commit_count'], label='Asia', marker='^')\n",
    "\n",
    "plt.title('Comparison of Monthly Commits: North America, Europe, and Asia')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Commits')\n",
    "plt.xticks(range(1, 13), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f14069e-73f9-4e5e-9531-9fb13cc16e61",
   "metadata": {},
   "source": [
    "#### 한계점\n",
    "1. 커밋의 타임존 오프셋을 기반으로 대륙을 임의로 분류했기 때문에 정확한 지리적 위치를 반영하지 않을 수 있음\n",
    "2. 각 대륙 내에서도 다양한 시간대가 존재. 특히 아시아는 넓은 범위를 포함하고 있기 때문에 이로 인해 커밋 활동이 실제보다 낮게 보고될 수 있음 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9192fd93-0d1d-4b24-8323-f0806ea99cb7",
   "metadata": {},
   "source": [
    "# Coding Conventions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14eb102a-34ba-4904-923d-089ec9268ecf",
   "metadata": {},
   "source": [
    "### Tabs vs. Spaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3b8a6eba-0408-4efc-bf9c-ba90e6ae0900",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f609fe50a3ec421d9ece5f549f090e79",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "623619ad80af41c99e9eee66eaec7bb9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery sample\n",
    "SELECT COUNT(*) \n",
    "FROM `bigquery-public-data.github_repos.files` \n",
    "WHERE path LIKE \"%.py\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fafb3e14-5b6e-41d8-9087-d4be32b754bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1725975e2ac0448f84d964d22412bee5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98924b2e9a424163a16c50780d0cce1b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery tabs_or_spaces_df\n",
    "WITH\n",
    "  lines AS (\n",
    "  SELECT\n",
    "    SPLIT(content, '\\n') AS line,\n",
    "    id\n",
    "  FROM\n",
    "    `bigquery-public-data.github_repos.sample_contents`\n",
    "  WHERE\n",
    "    sample_path LIKE \"%.py\" )\n",
    "SELECT\n",
    "  Indentation,\n",
    "  COUNT(Indentation) AS number_of_occurence\n",
    "FROM (\n",
    "  SELECT\n",
    "    CASE\n",
    "        WHEN MIN(CHAR_LENGTH(REGEXP_EXTRACT(flatten_line, r\"^\\t+\")))>=1 THEN 'Tab'\n",
    "        WHEN MIN(CHAR_LENGTH(REGEXP_EXTRACT(flatten_line, r\"^ +\")))>=1 THEN 'Space'\n",
    "        ELSE 'Other'\n",
    "    END AS Indentation\n",
    "  FROM\n",
    "    lines\n",
    "  CROSS JOIN\n",
    "    UNNEST(lines.line) AS flatten_line\n",
    "  WHERE\n",
    "    REGEXP_CONTAINS(flatten_line, r\"^\\s+\")\n",
    "  GROUP BY\n",
    "    id )\n",
    "GROUP BY\n",
    "  Indentation\n",
    "ORDER BY\n",
    "  number_of_occurence DESC;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "23937269-13a5-446b-98a3-5333d647dcdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_occurrences = tabs_or_spaces_df['number_of_occurence'].sum()\n",
    "tabs_or_spaces_df['percentage'] = (tabs_or_spaces_df['number_of_occurence'] / total_occurrences) * 100\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(tabs_or_spaces_df['Indentation'], tabs_or_spaces_df['percentage'], color=['blue', 'green', 'red'])\n",
    "plt.title('Indentation in Python Files')\n",
    "plt.xlabel('Indentation Type')\n",
    "plt.ylabel('Percentage (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "84fb1ebe-1ce6-45c2-bfad-c453b449f579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Indentation</th>\n",
       "      <th>number_of_occurence</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Space</td>\n",
       "      <td>75203</td>\n",
       "      <td>92.619095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tab</td>\n",
       "      <td>5843</td>\n",
       "      <td>7.196167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Other</td>\n",
       "      <td>150</td>\n",
       "      <td>0.184738</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Indentation  number_of_occurence  percentage\n",
       "0       Space                75203   92.619095\n",
       "1         Tab                 5843    7.196167\n",
       "2       Other                  150    0.184738"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabs_or_spaces_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7afa0ae-47f9-4fbe-943f-8afad796998f",
   "metadata": {},
   "source": [
    "### Single vs. Double Quotes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "33950ac2-3acd-4fae-9b8b-bb2e591bc709",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a8b85851919c4decba4e1c16887e4d95",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9215d23425ed4898bfb9917f860d4607",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery single_or_double_quotes_df\n",
    "WITH lines AS (\n",
    "  SELECT SPLIT(content, '\\\\n') AS line\n",
    "  FROM `bigquery-public-data.github_repos.sample_contents`\n",
    "  WHERE sample_path LIKE \"%.py\"\n",
    ")\n",
    "SELECT \n",
    "  IF(REGEXP_CONTAINS(flatten_line, r\"'[^']*'\"), 'Single Quotes', 'Double Quotes') AS quote_type,\n",
    "  COUNT(*) AS count\n",
    "FROM lines\n",
    "CROSS JOIN UNNEST(lines.line) AS flatten_line\n",
    "WHERE REGEXP_CONTAINS(flatten_line, r\"'[^']*'|\\\"[^\\\"]*\\\"\")\n",
    "GROUP BY quote_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "bad946c0-e56d-4b6f-b5e6-7f9dca87ab28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_count = single_or_double_quotes_df['count'].sum()\n",
    "single_or_double_quotes_df['percentage'] = (single_or_double_quotes_df['count'] / total_count) * 100\n",
    "\n",
    "# Plotting as a bar chart\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(single_or_double_quotes_df['quote_type'], single_or_double_quotes_df['percentage'], color=['blue', 'green'])\n",
    "plt.title('Quotes in Python Files')\n",
    "plt.xlabel('Quote Type')\n",
    "plt.ylabel('Percentage (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4a976462-3566-4bd3-bb9b-2b81ed972460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>quote_type</th>\n",
       "      <th>count</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Single Quotes</td>\n",
       "      <td>143390</td>\n",
       "      <td>76.227486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Double Quotes</td>\n",
       "      <td>44718</td>\n",
       "      <td>23.772514</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      quote_type   count  percentage\n",
       "0  Single Quotes  143390   76.227486\n",
       "1  Double Quotes   44718   23.772514"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "single_or_double_quotes_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8682df30-fd95-45aa-bf74-c1c285ad60ee",
   "metadata": {},
   "source": [
    "### Comma Position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "04e92dfc-9d38-4cce-990f-605afbf7b468",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9bf2a3cc85e4436596f29e62cb17530c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "88224b0462e34aa1a00dabdf232803ab",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery comma_position_df\n",
    "WITH lines AS (\n",
    "  SELECT SPLIT(content, '\\\\n') AS line\n",
    "  FROM `bigquery-public-data.github_repos.sample_contents`\n",
    "  WHERE sample_path LIKE \"%.py\"\n",
    ")\n",
    "SELECT \n",
    "  IF(REGEXP_CONTAINS(flatten_line, r',\\s*$'), 'Last Comma', 'First Comma') AS comma_position,\n",
    "  COUNT(*) AS count\n",
    "FROM lines\n",
    "CROSS JOIN UNNEST(lines.line) AS flatten_line\n",
    "WHERE REGEXP_CONTAINS(flatten_line, r',\\s*$') OR REGEXP_CONTAINS(flatten_line, r'^\\s*,')\n",
    "GROUP BY comma_position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e44dd5c1-3075-4bc2-a8e5-ac7d0631b8ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1IAAAIjCAYAAAAJLyrXAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABK5ElEQVR4nO3de3zP9f//8ft77GSzjWEzZoZhyzEk5hQrh5xC+FROEeWUU0o5nxY5RDmW0OczJTlVymlESZJzco4ojMjmOGyv3x9+3l9vI+9nNnvjdr1c3pdL7+fr+Xq9Hq/Xppe75+v1fNksy7IEAAAAAHCaW2YXAAAAAAD3G4IUAAAAABgiSAEAAACAIYIUAAAAABgiSAEAAACAIYIUAAAAABgiSAEAAACAIYIUAAAAABgiSAEAAACAIYIUAMDlDB48WDabzam+s2bNks1m06FDhzK2qFsoWLCg2rZte8/3e7cOHTokm82mMWPGZHYpTrvVz7lGjRqqUaNGptUE4OFGkAKAWzhw4IA6deqkQoUKycvLS35+foqOjtaECRN08eLFzC7vnitYsKBsNpv9kydPHlWtWlULFy68ZzWMHDlSixYtumf7ywzXA+T1T7Zs2RQVFaX+/fsrKSnJeHtff/21Bg8enP6FZoC2bds6HPuNn6VLl2Z2eQCQRtbMLgAAXM2SJUv07LPPytPTU61bt1aJEiV0+fJlff/993rttde0c+dOTZ8+PbPLvOfKlCmj3r17S5KOHj2qadOmqUmTJpoyZYpefvnldN1X//799cYbbzi0jRw5Us2aNVPjxo0d2lu1aqWWLVvK09MzXWtwxp49e+Tmlv7/JjllyhT5+vrq3LlzWr58uUaMGKFVq1Zp3bp1To/USdeC1KRJk+6bMOXp6akPP/wwTXvp0qX15JNPZtrPGQBuhSAFADc4ePCgWrZsqbCwMK1atUp58+a1L+vSpYv279+vJUuWZGKFmSdfvnx64YUX7N9bt26tIkWKaPz48ekepLJmzaqsWZ27RGXJkkVZsmRJ1/07K6P+Ut+sWTPlypVLkvTyyy+radOmWrBggX788UdVqlQpQ/bpCrJmzerwO3azzPo5A8CtcGsfANxg9OjROnfunGbMmOEQoq4rUqSIXn31Vfv3q1evatiwYSpcuLA8PT1VsGBBvfnmm0pOTnZYr2DBgqpfv76+/fZblS9fXt7e3ipZsqS+/fZbSdKCBQtUsmRJeXl5qVy5ctqyZYvD+m3btpWvr68OHz6s+vXry9fXV/ny5dOkSZMkSTt27FDNmjXl4+OjsLAwzZkzx2H906dPq0+fPipZsqR8fX3l5+enunXratu2bf/6XAUHBysyMlIHDx60t23ZskV169aVn5+ffH19VatWLf34448O6125ckVDhgxRRESEvLy8FBgYqCpVqmjFihX2Pjc/I2Wz2XT+/HnNnj3bfrvX9WeTbveM1OTJk/XII4/I09NTISEh6tKli86cOePQp0aNGipRooR+/fVXPfHEE8qWLZvy5cun0aNHO3UObn5G6not69atU69evZQ7d275+PjomWee0cmTJ53a5q3UrFlT0rWgv3r1atlstlveVjlnzhzZbDatX79ebdu2tf9+3Hib3M2mT59u//2tUKGCNm7cmKbPqlWrVLVqVfn4+CggIECNGjXSrl27HPpc/5nt379fbdu2VUBAgPz9/dWuXTtduHDhXx/7dc4+C5ecnKxBgwapSJEi8vT0VGhoqPr27Zvmz+SKFStUpUoVBQQEyNfXV8WKFdObb75513UCeHgwIgUAN/jyyy9VqFAhVa5c2an+HTp00OzZs9WsWTP17t1bGzZsUGxsrHbt2pXmL7r79+/Xc889p06dOumFF17QmDFj1KBBA02dOlVvvvmmOnfuLEmKjY1V8+bN09w2lpKSorp166patWoaPXq04uLi1LVrV/n4+Oitt97S888/ryZNmmjq1Klq3bq1KlWqpPDwcEnSb7/9pkWLFunZZ59VeHi4EhISNG3aNFWvXl2//vqrQkJCjM/VlStXdOTIEQUGBkqSdu7cqapVq8rPz099+/aVu7u7pk2bpho1amjNmjWqWLGipGt/4Y6NjVWHDh302GOPKSkpST///LM2b96sJ5988pb7+u9//2vv37FjR0lS4cKFb1vb4MGDNWTIEMXExOiVV17Rnj17NGXKFG3cuFHr1q2Tu7u7ve/ff/+tOnXqqEmTJmrevLk+//xzvf766ypZsqTq1q1rfF4kqVu3bsqRI4cGDRqkQ4cO6d1331XXrl01d+7cf7W9AwcOSJICAwNVo0YNhYaGKi4uTs8884xDv7i4OBUuXNg+anX06FGtWLFC//3vf2+53Tlz5ujs2bPq1KmTbDabRo8erSZNmui3336zn6OVK1eqbt26KlSokAYPHqyLFy/qvffeU3R0tDZv3qyCBQs6bLN58+YKDw9XbGysNm/erA8//FB58uTRqFGjnDrWv/76y+G7u7u7/P39nVo3NTVVDRs21Pfff6+OHTsqMjJSO3bs0Pjx47V37177M3Y7d+5U/fr1VapUKQ0dOlSenp7av3+/1q1b59R+AECSZAEALMuyrMTEREuS1ahRI6f6b9261ZJkdejQwaG9T58+liRr1apV9rawsDBLkvXDDz/Y25YtW2ZJsry9va3ff//d3j5t2jRLkrV69Wp7W5s2bSxJ1siRI+1tf//9t+Xt7W3ZbDbr008/tbfv3r3bkmQNGjTI3nbp0iUrJSXFoc6DBw9anp6e1tChQ+94rGFhYdZTTz1lnTx50jp58qS1bds2q2XLlpYkq1u3bpZlWVbjxo0tDw8P68CBA/b1jh49amXPnt2qVq2ava106dLW008//Y/7GzRokHXzJcrHx8dq06ZNmr4zZ860JFkHDx60LMuyTpw4YXl4eFhPPfWUwzG///77liTro48+srdVr17dkmR9/PHH9rbk5GQrODjYatq0qVPn5caartcSExNjpaam2tt79uxpZcmSxTpz5oxTx71nzx7r5MmT1sGDB61p06ZZnp6eVlBQkHX+/HnLsiyrX79+lqenp8P2Tpw4YWXNmtXh596lS5c059Gyrv3sJVmBgYHW6dOn7e2LFy+2JFlffvmlva1MmTJWnjx5rFOnTtnbtm3bZrm5uVmtW7dOU/uLL77osK9nnnnGCgwM/Mfjtqz/+x2/+VO9enXLstL+nC3r2s/v+nLLsqz//ve/lpubm/Xdd985bHvq1KmWJGvdunWWZVnW+PHjLUnWyZMn71gXANwOt/YBwP93fVa07NmzO9X/66+/liT16tXLof36hAw3P0sVFRXl8HzL9RGamjVrqkCBAmnaf/vttzT77NChg/2/AwICVKxYMfn4+Kh58+b29mLFiikgIMBhfU9PT/voVkpKik6dOmW/nWnz5s1OHe/y5cuVO3du5c6dW6VLl9a8efPUqlUrjRo1SikpKVq+fLkaN26sQoUK2dfJmzevnnvuOX3//ff28xsQEKCdO3dq3759Tu3X1MqVK3X58mX16NHDYUTvpZdekp+fX5qfi6+vr8NzOR4eHnrsscduef6d1bFjR4fb6KpWraqUlBT9/vvvTq1frFgx5c6dW+Hh4erUqZOKFCmiJUuWKFu2bJKuPZ+WnJyszz//3L7O3LlzdfXq1X98xuhmLVq0UI4cORzqlP7vd+/YsWPaunWr2rZtq5w5c9r7lSpVSk8++aT9z8CNbn5ermrVqjp16pRTsw56eXlpxYoVDp+xY8c6fTzz5s1TZGSkihcvrr/++sv+uX5r5OrVqyVd+x2UpMWLFys1NdXp7QPAjbi1DwD+Pz8/P0nS2bNnner/+++/y83NTUWKFHFoDw4OVkBAQJq/NN8YliTZb1cKDQ29Zfvff//t0O7l5aXcuXOn6Zs/f/40z774+/s7rJ+amqoJEyZo8uTJOnjwoFJSUuzLrt+adycVK1bU8OHD7dNyR0ZG2v9Cevz4cV24cEHFihVLs15kZKRSU1N15MgRPfLIIxo6dKgaNWqkokWLqkSJEqpTp45atWqlUqVKOVXHnVw/7zfX4uHhoUKFCqX5udzq/OXIkUPbt2//1zXc/LO+HlZu/pnezvz58+Xn5yd3d3flz58/zW2MxYsXV4UKFRQXF6f27dtLunZb3+OPP57m9/Fu6rzduZSu/VyXLVum8+fPy8fHx6ltXv8zdjtZsmRRTEyM0/XfbN++fdq1a1eaPyfXnThxQtK1APnhhx+qQ4cOeuONN1SrVi01adJEzZo1y5BZGAE8mAhSAPD/+fn5KSQkRL/88ovRes5OR327Gcdu125ZVrqtP3LkSA0YMEAvvviihg0bppw5c8rNzU09evRw+l/kc+XKdVd/yb2uWrVqOnDggBYvXqzly5frww8/1Pjx4zV16lSHEbd7xdnzfy+3Wa1aNfusfbfTunVrvfrqq/rjjz+UnJysH3/8Ue+///49rfNebdNZqampKlmypMaNG3fL5df/0cLb21tr167V6tWrtWTJEi1dulRz585VzZo1tXz5cmYHBOAUghQA3KB+/fqaPn261q9ff8dppsPCwpSamqp9+/YpMjLS3p6QkKAzZ84oLCwso8t12ueff64nnnhCM2bMcGg/c+bMHf/C7ozcuXMrW7Zs2rNnT5plu3fvlpubm8PIW86cOdWuXTu1a9dO586dU7Vq1TR48OB/DFLOBtbr533Pnj0OtxlevnxZBw8eTJcw6ApatmypXr166ZNPPtHFixfl7u6uFi1aOPQxeefUrdx4Lm+2e/du5cqVy2E0KrMVLlxY27ZtU61ate547G5ubqpVq5Zq1aqlcePGaeTIkXrrrbe0evXqB+Z3BEDGYvwaAG7Qt29f+fj4qEOHDkpISEiz/MCBA5owYYIkqV69epKkd99916HP9X8Nf/rppzO2WANZsmRJMyIwb948/fnnn+m2/aeeekqLFy92mJ46ISFBc+bMUZUqVey3dZ06dcphXV9fXxUpUiTN9NQ38/HxSTN9+a3ExMTIw8NDEydOdDjmGTNmKDEx0aV+LncjV65cqlu3rv73v/8pLi5OderUSROKr4ccZ87breTNm1dlypTR7NmzHbbxyy+/aPny5fY/A66iefPm+vPPP/XBBx+kWXbx4kWdP39e0rXXAdysTJkyknTH30MAuI4RKQC4QeHChTVnzhy1aNFCkZGRat26tUqUKKHLly/rhx9+0Lx58+zvDSpdurTatGmj6dOn68yZM6pevbp++uknzZ49W40bN9YTTzyRuQdzg/r162vo0KFq166dKleurB07diguLs5hxOZuDR8+3P5uns6dOytr1qyaNm2akpOTHd7LFBUVpRo1aqhcuXLKmTOnfv75Z33++efq2rXrP26/XLlyWrlypcaNG6eQkBCFh4fbJ+a4Ue7cudWvXz8NGTJEderUUcOGDbVnzx5NnjxZFSpUMJqMwdW1bt1azZo1kyQNGzYszfJy5cpJkrp3767atWsrS5YsatmypdE+3nnnHdWtW1eVKlVS+/bt7dOf+/v7a/DgwXd9DOmpVatW+uyzz/Tyyy9r9erVio6OVkpKinbv3q3PPvtMy5YtU/ny5TV06FCtXbtWTz/9tMLCwnTixAlNnjxZ+fPnV5UqVTL7MADcJwhSAHCThg0bavv27XrnnXe0ePFiTZkyRZ6enipVqpTGjh2rl156yd73ww8/VKFChTRr1iwtXLhQwcHB6tevnwYNGpSJR5DWm2++qfPnz2vOnDmaO3euHn30US1ZskRvvPFGuu3jkUce0Xfffad+/fopNjZWqampqlixov73v/85BJ7u3bvriy++0PLly5WcnKywsDANHz5cr7322j9uf9y4cerYsaP69++vixcvqk2bNrcMUtK190jlzp1b77//vnr27KmcOXOqY8eOGjlypMM7pO53DRo0UI4cOezvT7pZkyZN1K1bN3366af63//+J8uyjINUTEyMli5dqkGDBmngwIFyd3dX9erVNWrUKPt7ylyFm5ubFi1apPHjx+vjjz/WwoULlS1bNhUqVEivvvqqihYtKunan/FDhw7po48+0l9//aVcuXKpevXqGjJkiNPvrAIAm3Uvnv4EAADp7urVqwoJCVGDBg3SPP8GAMhYPCMFAMB9atGiRTp58qRat26d2aUAwEOHESkAAO4zGzZs0Pbt2zVs2DDlypXL6ZcqAwDSDyNSAADcZ6ZMmaJXXnlFefLk0ccff5zZ5QDAQ4kRKQAAAAAwxIgUAAAAABgiSAEAAACAId4jJSk1NVVHjx5V9uzZZbPZMrscAAAAAJnEsiydPXtWISEhcnO7/bgTQUrS0aNHFRoamtllAAAAAHARR44cUf78+W+7nCAlKXv27JKunSw/P79MrgYAAABAZklKSlJoaKg9I9wOQUqy387n5+dHkAIAAABwx0d+mGwCAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADAUKYGqbVr16pBgwYKCQmRzWbTokWLHJZblqWBAwcqb9688vb2VkxMjPbt2+fQ5/Tp03r++efl5+engIAAtW/fXufOnbuHRwEAAADgYZOpQer8+fMqXbq0Jk2adMvlo0eP1sSJEzV16lRt2LBBPj4+ql27ti5dumTv8/zzz2vnzp1asWKFvvrqK61du1YdO3a8V4cAAAAA4CFksyzLyuwipGsvvFq4cKEaN24s6dpoVEhIiHr37q0+ffpIkhITExUUFKRZs2apZcuW2rVrl6KiorRx40aVL19ekrR06VLVq1dPf/zxh0JCQm65r+TkZCUnJ9u/X397cWJiIi/kBQAAAB5iSUlJ8vf3v2M2cNlnpA4ePKjjx48rJibG3ubv76+KFStq/fr1kqT169crICDAHqIkKSYmRm5ubtqwYcNttx0bGyt/f3/7JzQ0NOMOBAAAAMADx2WD1PHjxyVJQUFBDu1BQUH2ZcePH1eePHkclmfNmlU5c+a097mVfv36KTEx0f45cuRIOlcPAAAA4EGWNbMLyAyenp7y9PTM7DIAAAAA3KdcdkQqODhYkpSQkODQnpCQYF8WHBysEydOOCy/evWqTp8+be8DAAAAAOnNZYNUeHi4goODFR8fb29LSkrShg0bVKlSJUlSpUqVdObMGW3atMneZ9WqVUpNTVXFihXvec0AAAAAHg6ZemvfuXPntH//fvv3gwcPauvWrcqZM6cKFCigHj16aPjw4YqIiFB4eLgGDBigkJAQ+8x+kZGRqlOnjl566SVNnTpVV65cUdeuXdWyZcvbztgHAAAAAHcrU4PUzz//rCeeeML+vVevXpKkNm3aaNasWerbt6/Onz+vjh076syZM6pSpYqWLl0qLy8v+zpxcXHq2rWratWqJTc3NzVt2lQTJ06858cCAAAA4OHhMu+RykzOzhUPAAAA4MF2379HCgAAAABcFUEKAAAAAAw9lO+RcnU2W2ZXAAAZhxvKAQAPAkakAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMCQSweplJQUDRgwQOHh4fL29lbhwoU1bNgwWZZl72NZlgYOHKi8efPK29tbMTEx2rdvXyZWDQAAAOBB59JBatSoUZoyZYref/997dq1S6NGjdLo0aP13nvv2fuMHj1aEydO1NSpU7Vhwwb5+Piodu3aunTpUiZWDgAAAOBBZrNuHN5xMfXr11dQUJBmzJhhb2vatKm8vb31v//9T5ZlKSQkRL1791afPn0kSYmJiQoKCtKsWbPUsmVLp/aTlJQkf39/JSYmys/PL0OOxYTNltkVAEDGcd2rDgAAzmcDlx6Rqly5suLj47V3715J0rZt2/T999+rbt26kqSDBw/q+PHjiomJsa/j7++vihUrav369bfdbnJyspKSkhw+AAAAAOCsrJldwD954403lJSUpOLFiytLlixKSUnRiBEj9Pzzz0uSjh8/LkkKCgpyWC8oKMi+7FZiY2M1ZMiQjCscAAAAwAPNpUekPvvsM8XFxWnOnDnavHmzZs+erTFjxmj27Nl3td1+/fopMTHR/jly5Eg6VQwAAADgYeDSI1Kvvfaa3njjDfuzTiVLltTvv/+u2NhYtWnTRsHBwZKkhIQE5c2b175eQkKCypQpc9vtenp6ytPTM0NrBwAAAPDgcukRqQsXLsjNzbHELFmyKDU1VZIUHh6u4OBgxcfH25cnJSVpw4YNqlSp0j2tFQAAAMDDw6VHpBo0aKARI0aoQIECeuSRR7RlyxaNGzdOL774oiTJZrOpR48eGj58uCIiIhQeHq4BAwYoJCREjRs3ztziAQAAADywXDpIvffeexowYIA6d+6sEydOKCQkRJ06ddLAgQPtffr27avz58+rY8eOOnPmjKpUqaKlS5fKy8srEysHAAAA8CBz6fdI3Su8RwoA7h2uOgAAV/ZAvEcKAAAAAFwRQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMAQQQoAAAAADBGkAAAAAMBQVtMVkpOTtWHDBv3++++6cOGCcufOrbJlyyo8PDwj6gMAAAAAl+N0kFq3bp0mTJigL7/8UleuXJG/v7+8vb11+vRpJScnq1ChQurYsaNefvllZc+ePSNrBgAAAIBM5dStfQ0bNlSLFi1UsGBBLV++XGfPntWpU6f0xx9/6MKFC9q3b5/69++v+Ph4FS1aVCtWrMjougEAAAAg0zg1IvX0009r/vz5cnd3v+XyQoUKqVChQmrTpo1+/fVXHTt2LF2LBAAAAABXYrMsy8rsIjJbUlKS/P39lZiYKD8/v8wuRzZbZlcAABmHqw4AwJU5mw2MJ5u40S+//KI1a9YoJSVF0dHRKleu3N1sDgAAAADuC/96+vNJkyapVq1aWrNmjVavXq2aNWtqxIgR6VkbAAAAALgkp2/tO3LkiEJDQ+3fIyMj9d133ylXrlySpPXr16thw4Y6efJkxlSagbi1DwDuHW7tAwC4MmezgdMjUjExMZowYYKu567AwEAtXbpUycnJOnv2rFauXKncuXPffeU3+fPPP/XCCy8oMDBQ3t7eKlmypH7++Wf7csuyNHDgQOXNm1fe3t6KiYnRvn370r0OAAAAALjO6SC1ceNG7dmzRxUrVtTWrVs1ffp0jR8/Xt7e3goICNDcuXM1e/bsdC3u77//VnR0tNzd3fXNN9/o119/1dixY5UjRw57n9GjR2vixImaOnWqNmzYIB8fH9WuXVuXLl1K11oAAAAA4DrjWft++OEHde7cWTVr1tTw4cOVkpKilJQUBQQEpHtxb7zxhtatW6fvvvvulssty1JISIh69+6tPn36SJISExMVFBSkWbNmqWXLlk7th1v7AODe4dY+AIArS/db+66rXLmyfv75Z+XIkUNly5bV2rVrMyRESdIXX3yh8uXL69lnn1WePHlUtmxZffDBB/blBw8e1PHjxxUTE2Nv8/f3V8WKFbV+/frbbjc5OVlJSUkOHwAAAABwltNB6urVq5o8ebK6deumWbNm6c0339SXX36psWPH6tlnn1VCQkK6F/fbb79pypQpioiI0LJly/TKK6+oe/fu9lsIjx8/LkkKCgpyWC8oKMi+7FZiY2Pl7+9v/9w4iQYAAAAA3InTQap9+/Z6//335ePjo5kzZ6pnz54qWrSoVq1apTp16qhSpUqaMmVKuhaXmpqqRx99VCNHjlTZsmXVsWNHvfTSS5o6depdbbdfv35KTEy0f44cOZJOFQMAAAB4GDgdpBYvXqz58+fr7bff1ooVK7RkyRL7svbt2+vHH3+87bNM/1bevHkVFRXl0BYZGanDhw9LkoKDgyUpzWhYQkKCfdmteHp6ys/Pz+EDAAAAAM5yOkgFBQVp+fLlunz5slatWqXAwECH5Xny5NGcOXPStbjo6Gjt2bPHoW3v3r0KCwuTJIWHhys4OFjx8fH25UlJSdqwYYMqVaqUrrUAAAAAwHVZne34/vvv6/nnn1evXr2UN29effbZZxlZlySpZ8+eqly5skaOHKnmzZvrp59+0vTp0zV9+nRJks1mU48ePTR8+HBFREQoPDxcAwYMUEhIiBo3bpzh9QEAAAB4OBlNf25Zlv76668MefHu7Xz11Vfq16+f9u3bp/DwcPXq1UsvvfSSQ02DBg3S9OnTdebMGVWpUkWTJ09W0aJFnd4H058DwL3D9OcAAFfmbDYwfo/Ug4ggBQD3DlcdAIArS9f3SNWpU0c//vjjHfudPXtWo0aN0qRJk5yvFAAAAADuM049I/Xss8+qadOm8vf3V4MGDVS+fHmFhITIy8tLf//9t3799Vd9//33+vrrr/X000/rnXfeyei6AQAAACDTOH1rX3JysubNm6e5c+fq+++/V2Ji4rUN2GyKiopS7dq11b59e0VGRmZowRmBW/sA4N7h1j4AgCvL8GekEhMTdfHiRQUGBsrd3f1fF+oKCFIAcO8QpAAArszZbOD09Oc38/f3l7+//79dHQAAAADuW06/kBcAAAAAcA1BCgAAAAAMEaQAAAAAwBBBCgAAAAAM/asgdebMGX344Yfq16+fTp8+LUnavHmz/vzzz3QtDgAAAABckfGsfdu3b1dMTIz8/f116NAhvfTSS8qZM6cWLFigw4cP6+OPP86IOgEAAADAZRiPSPXq1Utt27bVvn375OXlZW+vV6+e1q5dm67FAQAAAIArMg5SGzduVKdOndK058uXT8ePH0+XogAAAADAlRkHKU9PTyUlJaVp37t3r3Lnzp0uRQEAAACAKzMOUg0bNtTQoUN15coVSZLNZtPhw4f1+uuvq2nTpuleIAAAAAC4GuMgNXbsWJ07d0558uTRxYsXVb16dRUpUkTZs2fXiBEjMqJGAAAAAHApxrP2+fv7a8WKFfr++++1fft2nTt3To8++qhiYmIyoj4AAAAAcDk2y7KszC4isyUlJcnf31+JiYny8/PL7HJks2V2BQCQcbjqAABcmbPZwHhEauLEibdst9ls8vLyUpEiRVStWjVlyZLFdNMAAAAAcF8wDlLjx4/XyZMndeHCBeXIkUOS9Pfffytbtmzy9fXViRMnVKhQIa1evVqhoaHpXjAAAAAAZDbjySZGjhypChUqaN++fTp16pROnTqlvXv3qmLFipowYYIOHz6s4OBg9ezZMyPqBQAAAIBMZ/yMVOHChTV//nyVKVPGoX3Lli1q2rSpfvvtN/3www9q2rSpjh07lp61ZhiekQKAe4dnpAAArszZbGA8InXs2DFdvXo1TfvVq1d1/PhxSVJISIjOnj1rumkAAAAAuC8YB6knnnhCnTp10pYtW+xtW7Zs0SuvvKKaNWtKknbs2KHw8PD0qxIAAAAAXIhxkJoxY4Zy5sypcuXKydPTU56enipfvrxy5sypGTNmSJJ8fX01duzYdC8WAAAAAFzBv36P1O7du7V3715JUrFixVSsWLF0Lexe4hkpALh3eEYKAODKMuw9UtcVL15cxYsX/7erAwAAAMB9618FqT/++ENffPGFDh8+rMuXLzssGzduXLoUBgAAAACuyjhIxcfHq2HDhipUqJB2796tEiVK6NChQ7IsS48++mhG1AgAAAAALsV4sol+/fqpT58+2rFjh7y8vDR//nwdOXJE1atX17PPPpsRNQIAAACASzEOUrt27VLr1q0lSVmzZtXFixfl6+uroUOHatSoUeleIAAAAAC4GuMg5ePjY38uKm/evDpw4IB92V9//ZV+lQEAAACAizJ+Rurxxx/X999/r8jISNWrV0+9e/fWjh07tGDBAj3++OMZUSMAAAAAuBTjIDVu3DidO3dOkjRkyBCdO3dOc+fOVUREBDP2AQAAAHgo/OsX8j5IeCEvANw7XHUAAK7M2Wxg/IxUoUKFdOrUqTTtZ86cUaFChUw3BwAAAAD3HeMgdejQIaWkpKRpT05O1p9//pkuRQEAAACAK3P6GakvvvjC/t/Lli2Tv7+//XtKSori4+NVsGDBdC0OAAAAAFyR00GqcePGkiSbzaY2bdo4LHN3d1fBggU1duzYdC0OAAAAAFyR00EqNTVVkhQeHq6NGzcqV65cGVYUAAAAALgy4+nPDx48mBF1AAAAAMB9wzhISVJ8fLzi4+N14sQJ+0jVdR999FG6FAYAAAAArso4SA0ZMkRDhw5V+fLllTdvXtl46REAAACAh4xxkJo6dapmzZqlVq1aZUQ9AAAAAODyjN8jdfnyZVWuXDkjagEAAACA+4JxkOrQoYPmzJmTEbUAAAAAwH3B+Na+S5cuafr06Vq5cqVKlSold3d3h+Xjxo1Lt+IAAAAAwBUZB6nt27erTJkykqRffvnFYRkTTwAAAAB4GBgHqdWrV2dEHQAAAABw3zB+Ruq6/fv3a9myZbp48aIkybKsdCsKAAAAAFyZcZA6deqUatWqpaJFi6pevXo6duyYJKl9+/bq3bt3uhcIAAAAAK7GOEj17NlT7u7uOnz4sLJly2Zvb9GihZYuXZquxQEAAACAKzJ+Rmr58uVatmyZ8ufP79AeERGh33//Pd0KAwAAAABXZTwidf78eYeRqOtOnz4tT0/PdCkKAAAAAFyZcZCqWrWqPv74Y/t3m82m1NRUjR49Wk888US6FgcAAAAArsj41r7Ro0erVq1a+vnnn3X58mX17dtXO3fu1OnTp7Vu3bqMqBEAAAAAXIrxiFSJEiW0d+9eValSRY0aNdL58+fVpEkTbdmyRYULF86IGgEAAADApdgsXgClpKQk+fv7KzExUX5+fpldjmy2zK4AADIOVx0AgCtzNhsYj0jNnDlT8+bNS9M+b948zZ4923RzAAAAAHDfMQ5SsbGxypUrV5r2PHnyaOTIkelSFAAAAAC4MuMgdfjwYYWHh6dpDwsL0+HDh9OlKAAAAABwZcZBKk+ePNq+fXua9m3btikwMDBdigIAAAAAV2YcpP7zn/+oe/fuWr16tVJSUpSSkqJVq1bp1VdfVcuWLTOiRgAAAABwKcbvkRo2bJgOHTqkWrVqKWvWa6unpqaqdevWPCMFAAAA4KFgNP25ZVk6cuSIcufOrT/++ENbt26Vt7e3SpYsqbCwsIysM0Mx/TkA3DtMfw4AcGXOZgOjESnLslSkSBHt3LlTERERioiIuOtCAQAAAOB+Y/SMlJubmyIiInTq1KmMqgcAAAAAXJ7xZBNvv/22XnvtNf3yyy8ZUQ8AAAAAuDyjZ6QkKUeOHLpw4YKuXr0qDw8PeXt7Oyw/ffp0uhZ4L/CMFADcOzwjBQBwZRnyjJQkvfvuu3dTFwAAAADc94yDVJs2bTKiDgAAAAC4bxg/IyVJBw4cUP/+/fWf//xHJ06ckCR988032rlzZ7oWBwAAAACuyDhIrVmzRiVLltSGDRu0YMECnTt3TpK0bds2DRo0KN0LBAAAAABXYxyk3njjDQ0fPlwrVqyQh4eHvb1mzZr68ccf07U4AAAAAHBFxkFqx44deuaZZ9K058mTR3/99Ve6FAUAAAAArsw4SAUEBOjYsWNp2rds2aJ8+fKlS1EAAAAA4MqMg1TLli31+uuv6/jx47LZbEpNTdW6devUp08ftW7dOiNqBAAAAACXYhykRo4cqeLFiys0NFTnzp1TVFSUqlWrpsqVK6t///4ZUSMAAAAAuBSbZf27d8wfOXJEO3bs0Llz51S2bFlFRESkd233jLNvL75XbLbMrgAAMs6/u+oAAHBvOJsNnB6RSk1N1ahRoxQdHa0KFSpo0qRJeuKJJ9S8efN7FqLefvtt2Ww29ejRw9526dIldenSRYGBgfL19VXTpk2VkJBwT+oBAAAA8HByOkiNGDFCb775pnx9fZUvXz5NmDBBXbp0ycjaHGzcuFHTpk1TqVKlHNp79uypL7/8UvPmzdOaNWt09OhRNWnS5J7VBQAAAODh43SQ+vjjjzV58mQtW7ZMixYt0pdffqm4uDilpqZmZH2SpHPnzun555/XBx98oBw5ctjbExMTNWPGDI0bN041a9ZUuXLlNHPmTP3www+80woAAABAhnE6SB0+fFj16tWzf4+JiZHNZtPRo0czpLAbdenSRU8//bRiYmIc2jdt2qQrV644tBcvXlwFChTQ+vXrb7u95ORkJSUlOXwAAAAAwFlZne149epVeXl5ObS5u7vrypUr6V7UjT799FNt3rxZGzduTLPs+PHj8vDwUEBAgEN7UFCQjh8/ftttxsbGasiQIeldKgAAAICHhNNByrIstW3bVp6enva2S5cu6eWXX5aPj4+9bcGCBelW3JEjR/Tqq69qxYoVaULc3ejXr5969epl/56UlKTQ0NB02z4AAACAB5vTQapNmzZp2l544YV0LeZmmzZt0okTJ/Too4/a21JSUrR27Vq9//77WrZsmS5fvqwzZ844jEolJCQoODj4ttv19PR0CIQAAAAAYMLpIDVz5syMrOOWatWqpR07dji0tWvXTsWLF9frr7+u0NBQubu7Kz4+Xk2bNpUk7dmzR4cPH1alSpXueb0AAAAAHg5OB6nMkD17dpUoUcKhzcfHR4GBgfb29u3bq1evXsqZM6f8/PzUrVs3VapUSY8//nhmlAwAAADgIeDSQcoZ48ePl5ubm5o2bark5GTVrl1bkydPzuyyAAAAADzAbJZlWZldRGZLSkqSv7+/EhMT5efnl9nlyGbL7AoAIONw1QEAuDJns4HT75ECAAAAAFxDkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADDk0kEqNjZWFSpUUPbs2ZUnTx41btxYe/bscehz6dIldenSRYGBgfL19VXTpk2VkJCQSRUDAAAAeBi4dJBas2aNunTpoh9//FErVqzQlStX9NRTT+n8+fP2Pj179tSXX36pefPmac2aNTp69KiaNGmSiVUDAAAAeNDZLMuyMrsIZ508eVJ58uTRmjVrVK1aNSUmJip37tyaM2eOmjVrJknavXu3IiMjtX79ej3++ONObTcpKUn+/v5KTEyUn59fRh6CU2y2zK4AADLO/XPVAQA8jJzNBi49InWzxMRESVLOnDklSZs2bdKVK1cUExNj71O8eHEVKFBA69evv+12kpOTlZSU5PABAAAAAGfdN0EqNTVVPXr0UHR0tEqUKCFJOn78uDw8PBQQEODQNygoSMePH7/ttmJjY+Xv72//hIaGZmTpAAAAAB4w902Q6tKli3755Rd9+umnd72tfv36KTEx0f45cuRIOlQIAAAA4GGRNbMLcEbXrl311Vdfae3atcqfP7+9PTg4WJcvX9aZM2ccRqUSEhIUHBx82+15enrK09MzI0sGAAAA8ABz6REpy7LUtWtXLVy4UKtWrVJ4eLjD8nLlysnd3V3x8fH2tj179ujw4cOqVKnSvS4XAAAAwEPCpUekunTpojlz5mjx4sXKnj27/bknf39/eXt7y9/fX+3bt1evXr2UM2dO+fn5qVu3bqpUqZLTM/YBAAAAgCmXnv7cdpt5wGfOnKm2bdtKuvZC3t69e+uTTz5RcnKyateurcmTJ//jrX03Y/pzALh3XPeqAwCA89nApYPUvUKQAoB7h6sOAMCVPZDvkQIAAAAAV0CQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMESQAgAAAABDBCkAAAAAMJQ1swsAAABOmGPL7AoAIOM8Z2V2BcYYkQIAAAAAQwQpAAAAADBEkAIAAAAAQwQpAAAAADBEkAIAAAAAQw9MkJo0aZIKFiwoLy8vVaxYUT/99FNmlwQAAADgAfVABKm5c+eqV69eGjRokDZv3qzSpUurdu3aOnHiRGaXBgAAAOAB9EAEqXHjxumll15Su3btFBUVpalTpypbtmz66KOPMrs0AAAAAA+g+/6FvJcvX9amTZvUr18/e5ubm5tiYmK0fv36W66TnJys5ORk+/fExERJUlJSUsYWCwAQ/6v9ly5kdgEAkIFc6OJwPRNY1j+/JPi+D1J//fWXUlJSFBQU5NAeFBSk3bt333Kd2NhYDRkyJE17aGhohtQIAPg//v6ZXQEAwOW85HoXh7Nnz8r/Hy5a932Q+jf69eunXr162b+npqbq9OnTCgwMlM1my8TKgHsrKSlJoaGhOnLkiPz8/DK7HACAi+D6gIeZZVk6e/asQkJC/rHffR+kcuXKpSxZsighIcGhPSEhQcHBwbdcx9PTU56eng5tAQEBGVUi4PL8/Py4UAIA0uD6gIfVP41EXXffTzbh4eGhcuXKKT4+3t6Wmpqq+Ph4VapUKRMrAwAAAPCguu9HpCSpV69eatOmjcqXL6/HHntM7777rs6fP6927dpldmkAAAAAHkAPRJBq0aKFTp48qYEDB+r48eMqU6aMli5dmmYCCgCOPD09NWjQoDS3ugIAHm5cH4A7s1l3mtcPAAAAAODgvn9GCgAAAADuNYIUAAAAABgiSAEAAACAIYIUAACAC6hRo4Z69OiR2WUAcBJBCsggbdu2VePGjTNk299++61sNpvOnDlzx76WZWn69OmqWLGifH19FRAQoPLly+vdd9/VhQsXMqQ+AMCttW3bVjabLc1n//79WrBggYYNG3ZX27fZbFq0aJFTfVevXq169eopMDBQ2bJlU1RUlHr37q0///zzrmoAHhYEKeAB16pVK/Xo0UONGjXS6tWrtXXrVg0YMECLFy/W8uXLM7s8AHjo1KlTR8eOHXP4hIeHK2fOnMqePftt17t8+XK61TBt2jTFxMQoODhY8+fP16+//qqpU6cqMTFRY8eOTbf9AA80C0CGaNOmjdWoUaPbLh87dqxVokQJK1u2bFb+/PmtV155xTp79qx9+aFDh6z69etbAQEBVrZs2ayoqChryZIl1sGDBy1JDp82bdrcch9z5861JFmLFi1Ksyw1NdU6c+aMZVmWlZKSYg0ZMsTKly+f5eHhYZUuXdr65ptv7H2v73Pu3LlWlSpVLC8vL6t8+fLWnj17rJ9++skqV66c5ePjY9WpU8c6ceJEmnMwYsQIK0+ePJa/v781ZMgQ68qVK1afPn2sHDlyWPny5bM++ugjh9r69u1rRUREWN7e3lZ4eLjVv39/6/Lly86cdgBwaf90bahevbr16quv2r+HhYVZQ4cOtVq1amVlz57datOmjZWcnGx16dLFCg4Otjw9Pa0CBQpYI0eOtPe/8doQFhZ2y/0cOXLE8vDwsHr06HHL5X///bf9vz///HMrKirK8vDwsMLCwqwxY8Y49A0LC7OGDRtmtWrVyvLx8bEKFChgLV682Dpx4oTVsGFDy8fHxypZsqS1ceNG+zozZ860/P39rS+//NIqWrSo5e3tbTVt2tQ6f/68NWvWLCssLMwKCAiwunXrZl29etW+3scff2yVK1fO8vX1tYKCgqz//Oc/VkJCwj+cbSBjMSIFZBI3NzdNnDhRO3fu1OzZs7Vq1Sr17dvXvrxLly5KTk7W2rVrtWPHDo0aNUq+vr4KDQ3V/PnzJUl79uzRsWPHNGHChFvuIy4uTsWKFVOjRo3SLLPZbPL395ckTZgwQWPHjtWYMWO0fft21a5dWw0bNtS+ffsc1hk0aJD69++vzZs3K2vWrHruuefUt29fTZgwQd99953279+vgQMHOqyzatUqHT16VGvXrtW4ceM0aNAg1a9fXzly5NCGDRv08ssvq1OnTvrjjz/s62TPnl2zZs3Sr7/+qgkTJuiDDz7Q+PHj/92JBoD72JgxY1S6dGlt2bJFAwYM0MSJE/XFF1/os88+0549exQXF6eCBQtKkjZu3ChJmjlzpo4dO2b/frN58+bp8uXLDtecGwUEBEiSNm3apObNm6tly5basWOHBg8erAEDBmjWrFkO/cePH6/o6Ght2bJFTz/9tFq1aqXWrVvrhRde0ObNm1W4cGG1bt1a1g2vLr1w4YImTpyoTz/9VEuXLtW3336rZ555Rl9//bW+/vpr/fe//9W0adP0+eef29e5cuWKhg0bpm3btmnRokU6dOiQ2rZt++9OLJAeMjvJAQ+qO41I3WzevHlWYGCg/XvJkiWtwYMH37Lv6tWrLUkO/2p4K5GRkVbDhg3vuO+QkBBrxIgRDm0VKlSwOnfubFnW/41Iffjhh/bln3zyiSXJio+Pt7fFxsZaxYoVs39v06aNFRYWZqWkpNjbihUrZlWtWtX+/erVq5aPj4/1ySef3La+d955xypXrtwdjwMAXF2bNm2sLFmyWD4+PvZPs2bNLMu69YhU48aNHdbv1q2bVbNmTSs1NfWW25dkLVy48B9reOWVVyw/P7871vrcc89ZTz75pEPba6+9ZkVFRTnU+MILL9i/Hzt2zJJkDRgwwN62fv16S5J17Ngxy7KujUhJsvbv32/v06lTJytbtmwOd2bUrl3b6tSp023r27hxoyXJYR3gXmJECsgkK1euVK1atZQvXz5lz55drVq10qlTp+wTQHTv3l3Dhw9XdHS0Bg0apO3btxvvw7rhX/9uJykpSUePHlV0dLRDe3R0tHbt2uXQVqpUKft/BwUFSZJKlizp0HbixAmHdR555BG5ubk59LlxnSxZsigwMNBhvblz5yo6OlrBwcHy9fVV//79dfjw4TseCwDcD5544glt3brV/pk4ceJt+5YvX97he9u2bbV161YVK1ZM3bt3/1fPulqWJZvNdsd+u3btuuW1Yd++fUpJSbG3OXNtkOTw//ls2bKpcOHCDn0KFiwoX19fh7Yb19m0aZMaNGigAgUKKHv27KpevbokcX1ApiFIAZng0KFDql+/vkqVKqX58+dr06ZNmjRpkqT/e5i4Q4cO+u2339SqVSvt2LFD5cuX13vvvWe0n6JFi2r37t3pVre7u7v9v69fhG9uS01Nve061/vcqu36euvXr9fzzz+vevXq6auvvtKWLVv01ltvpetD1gCQmXx8fFSkSBH7J2/evP/Y90aPPvqoDh48qGHDhunixYtq3ry5mjVrZrT/okWLKjExUceOHftX9d/MmWuDJIfrg+m14fz586pdu7b8/PwUFxenjRs3auHChZLSdxIOwARBCsgEmzZtUmpqqsaOHavHH39cRYsW1dGjR9P0Cw0N1csvv6wFCxaod+/e+uCDDyRJHh4ekuTwL4K38txzz2nv3r1avHhxmmWWZSkxMVF+fn4KCQnRunXrHJavW7dOUVFR//YQ/7UffvhBYWFheuutt1S+fHlFRETo999/v+d1AICr8vPzU4sWLfTBBx9o7ty5mj9/vk6fPi3pWkC507WhWbNm8vDw0OjRo2+5/PqrNSIjI295bShatKiyZMly9wdiYPfu3Tp16pTefvttVa1aVcWLF09zBwRwr2XN7AKAB1liYqK2bt3q0BYYGKgiRYroypUreu+999SgQQOtW7dOU6dOdejXo0cP1a1bV0WLFtXff/+t1atXKzIyUpIUFhYmm82mr776SvXq1ZO3t7fD7RDXNW/eXAsXLtR//vMf9e/fX0899ZRy586tHTt2aPz48erWrZsaN26s1157TYMGDVLhwoVVpkwZzZw5U1u3blVcXFyGnZvbiYiI0OHDh/Xpp5+qQoUKWrJkif1fHQHgYTdu3DjlzZtXZcuWlZubm+bNm6fg4GD7BBEFCxZUfHy8oqOj5enpqRw5cqTZRmhoqMaPH6+uXbsqKSlJrVu3VsGCBfXHH3/o448/lq+vr8aOHavevXurQoUKGjZsmFq0aKH169fr/fff1+TJk+/xUUsFChSQh4eH3nvvPb388sv65Zdf7vqdW8DdYkQKyEDffvutypYt6/AZMmSISpcurXHjxmnUqFEqUaKE4uLiFBsb67BuSkqKunTposjISNWpU0dFixa1X7zy5cunIUOG6I033lBQUJC6du16y/3bbDbNmTNH48aN06JFi1S9enWVKlVKgwcPVqNGjVS7dm1J157H6tWrl3r37q2SJUtq6dKl+uKLLxQREZGxJ+gWGjZsqJ49e6pr164qU6aMfvjhBw0YMOCe1wEArih79uwaPXq0ypcvrwoVKujQoUP6+uuv7c+ijh07VitWrFBoaKjKli172+107txZy5cv159//qlnnnlGxYsXV4cOHeTn56c+ffpIunYb4WeffaZPP/1UJUqU0MCBAzV06NBMmSkvd+7cmjVrlubNm6eoqCi9/fbbGjNmzD2vA7iRzXLmaXQAAAAAgB0jUgAAAABgiCAFAAAAAIYIUgAAAABgiCAFAAAAAIYIUgAAAABgiCAFAAAAAIYIUgAAAABgiCAFAAAAAIYIUgAAZAKbzaZFixb9Y5+2bduqcePG96QeAIAZghQAwNjx48fVrVs3FSpUSJ6engoNDVWDBg0UHx+f2aWlm1mzZslms8lms8nNzU358+dXu3btdOLEiXTZ/rFjx1S3bl1J0qFDh2Sz2bR161aHPhMmTNCsWbPSZX8AgPSVNbMLAADcXw4dOqTo6GgFBATonXfeUcmSJXXlyhUtW7ZMXbp00e7duzO7xHTj5+enPXv2KDU1Vdu2bVO7du109OhRLVu27K63HRwcfMc+/v7+d70fAEDGYEQKAGCkc+fOstls+umnn9S0aVMVLVpUjzzyiHr16qUff/zR3u/w4cNq1KiRfH195efnp+bNmyshIcG+fPDgwSpTpow++ugjFShQQL6+vurcubNSUlI0evRoBQcHK0+ePBoxYoTD/m02m6ZNm6b69esrW7ZsioyM1Pr167V//37VqFFDPj4+qly5sg4cOGBf58CBA2rUqJGCgoLk6+urChUqaOXKlXc8VpvNpuDgYIWEhKhu3brq3r27Vq5cqYsXLyo1NVVDhw5V/vz55enpqTJlymjp0qX2dS9fvqyuXbsqb9688vLyUlhYmGJjYx22ff3WvvDwcElS2bJlZbPZVKNGDUlpb+1LTk5W9+7dlSdPHnl5ealKlSrauHGjffm3334rm82m+Ph4lS9fXtmyZVPlypW1Z8+eOx4rAMAMQQoA4LTTp09r6dKl6tKli3x8fNIsDwgIkCSlpqaqUaNGOn36tNasWaMVK1bot99+U4sWLRz6HzhwQN98842WLl2qTz75RDNmzNDTTz+tP/74Q2vWrNGoUaPUv39/bdiwwWG9YcOGqXXr1tq6dauKFy+u5557Tp06dVK/fv30888/y7Isde3a1d7/3LlzqlevnuLj47VlyxbVqVNHDRo00OHDh42O39vbW6mpqbp69aomTJigsWPHasyYMdq+fbtq166thg0bat++fZKkiRMn6osvvtBnn32mPXv2KC4uTgULFrzldn/66SdJ0sqVK3Xs2DEtWLDglv369u2r+fPna/bs2dq8ebOKFCmi2rVr6/Tp0w793nrrLY0dO1Y///yzsmbNqhdffNHoOAEATrAAAHDShg0bLEnWggUL/rHf8uXLrSxZsliHDx+2t+3cudOSZP3000+WZVnWoEGDrGzZsllJSUn2PrVr17YKFixopaSk2NuKFStmxcbG2r9Lsvr372//vn79ekuSNWPGDHvbJ598Ynl5ef1jjY888oj13nvv3Xb5zJkzLX9/f/v3vXv3WkWLFrXKly9vWZZlhYSEWCNGjHBYp0KFClbnzp0ty7Ksbt26WTVr1rRSU1NvuX1J1sKFCy3LsqyDBw9akqwtW7Y49GnTpo3VqFEjy7Is69y5c5a7u7sVFxdnX3758mUrJCTEGj16tGVZlrV69WpLkrVy5Up7nyVLlliSrIsXL97+ZAAAjDEiBQBwmmVZTvXbtWuXQkNDFRoaam+LiopSQECAdu3aZW8rWLCgsmfPbv8eFBSkqKgoubm5ObTdPMFDqVKlHJZLUsmSJR3aLl26pKSkJEnXRqT69OmjyMhIBQQEyNfXV7t27brjiFRiYqJ8fX2VLVs2FStWTEFBQYqLi1NSUpKOHj2q6Ohoh/7R0dH242vbtq22bt2qYsWKqXv37lq+fPk/n7Q7OHDggK5cueKwT3d3dz322GMO51RyPD958+aVpHSbJAMAcA2TTQAAnBYRESGbzZZuE0q4u7s7fLfZbLdsS01Nve16Npvttm3X1+vTp49WrFihMWPGqEiRIvL29lazZs10+fLlf6wve/bs2rx5s9zc3JQ3b155e3tLkj2g/ZNHH31UBw8e1DfffKOVK1eqefPmiomJ0eeff37Hde/WP50LAED6YEQKAOC0nDlzqnbt2po0aZLOnz+fZvmZM2ckSZGRkTpy5IiOHDliX/brr7/qzJkzioqKulfl2q1bt05t27bVM888o5IlSyo4OFiHDh2643pubm4qUqSIChUqZA9R0rXZ/EJCQrRu3bo0+7nx+Pz8/NSiRQt98MEHmjt3rubPn5/meSZJ8vDwkCSlpKTctpbChQvLw8PDYZ9XrlzRxo0bM+WcAsDDjhEpAICRSZMmKTo6Wo899piGDh2qUqVK6erVq1qxYoWmTJmiXbt2KSYmRiVLltTzzz+vd999V1evXlXnzp1VvXp1lS9f/p7XHBERoQULFqhBgway2WwaMGDAXY/QvPbaaxo0aJAKFy6sMmXKaObMmdq6davi4uIkSePGjVPevHlVtmxZubm5ad68eQoODrZPyHGjPHnyyNvbW0uXLlX+/Pnl5eWVZupzHx8fvfLKK3rttdeUM2dOFShQQKNHj9aFCxfUvn37uzoWAIA5ghQAwEihQoW0efNmjRgxQr1799axY8eUO3dulStXTlOmTJF07XayxYsXq1u3bqpWrZrc3NxUp04dvffee5lS87hx4/Tiiy+qcuXKypUrl15//XWnbs/7J927d1diYqJ69+6tEydOKCoqSl988YUiIiIkXbstcPTo0dq3b5+yZMmiChUq6Ouvv3Z4/uu6rFmzauLEiRo6dKgGDhyoqlWr6ttvv03T7+2331ZqaqpatWqls2fPqnz58lq2bJly5MhxV8cCADBns5x9chgAAAAAIIlnpAAAAADAGEEKAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADAEEEKAAAAAAwRpAAAAADA0P8DZlLWbvUFb8MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_count = comma_position_df['count'].sum()\n",
    "comma_position_df['percentage'] = (comma_position_df['count'] / total_count) * 100\n",
    "\n",
    "# Plotting as a bar chart\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(comma_position_df['comma_position'], comma_position_df['percentage'], color=['blue', 'orange'])\n",
    "plt.title('Comma Position in Python Files')\n",
    "plt.xlabel('Comma Position')\n",
    "plt.ylabel('Percentage (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "31efabdd-c3d7-44d7-bc53-0f6961a61147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comma_position</th>\n",
       "      <th>count</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Last Comma</td>\n",
       "      <td>3181</td>\n",
       "      <td>97.937192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>First Comma</td>\n",
       "      <td>67</td>\n",
       "      <td>2.062808</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  comma_position  count  percentage\n",
       "0     Last Comma   3181   97.937192\n",
       "1    First Comma     67    2.062808"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comma_position_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "954d74d2-dc79-4915-8d68-e74826331bd2",
   "metadata": {},
   "source": [
    "### Constant Naming Styles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4e3a096c-363f-48dc-9903-ef5c9c5bc164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc40f801d5404c07965d3792f8652802",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Query is running:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e95f08ac7c9a408bbd3f72f6c05e7309",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%bigquery constant_naming_styles_df\n",
    "WITH lines AS (\n",
    "  SELECT SPLIT(content, '\\\\n') AS line\n",
    "  FROM `bigquery-public-data.github_repos.sample_contents`\n",
    "  WHERE sample_path LIKE \"%.py\"\n",
    ")\n",
    "SELECT \n",
    "  CASE\n",
    "    WHEN REGEXP_CONTAINS(flatten_line, r'^\\s*[A-Z][a-zA-Z0-9]*\\s*=\\s*') THEN 'PascalCase'\n",
    "    WHEN REGEXP_CONTAINS(flatten_line, r'^\\s*[A-Z0-9_]+\\s*=\\s*') THEN 'ALL_CAPS_WITH_UNDERSCORE'\n",
    "    ELSE 'Others'\n",
    "  END AS naming_style,\n",
    "  COUNT(*) AS count\n",
    "FROM lines\n",
    "CROSS JOIN UNNEST(lines.line) AS flatten_line\n",
    "WHERE REGEXP_CONTAINS(flatten_line, r'^\\s*[A-Z][a-zA-Z0-9_]*\\s*=\\s*')\n",
    "GROUP BY naming_style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "dd9bcd8e-0c73-4246-82f1-27220a928f47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>naming_style</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PascalCase</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALL_CAPS_WITH_UNDERSCORE</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Others</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               naming_style  count\n",
       "0                PascalCase    312\n",
       "1  ALL_CAPS_WITH_UNDERSCORE    134\n",
       "2                    Others      8"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "constant_naming_styles_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "add6206a-762c-4798-8815-5c5a06ebfc66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_count = constant_naming_styles_df['count'].sum()\n",
    "constant_naming_styles_df['percentage'] = (constant_naming_styles_df['count'] / total_count) * 100\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(constant_naming_styles_df['naming_style'], constant_naming_styles_df['percentage'], color=['blue', 'orange', 'green'])\n",
    "plt.title('Constant Naming Styles in Python Files')\n",
    "plt.xlabel('Naming Style')\n",
    "plt.ylabel('Percentage (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcbf42b5-457b-4c37-80fa-142cb6c81eed",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (Local)",
   "language": "python",
   "name": "local-base"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}