dashboardDraft1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {}
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plot\n",
    "import matplotlib.dates as dates\n",
    "import pydata_google_auth\n",
    "import pandas as pd\n",
    "from google.cloud import bigquery\n",
    "import projectIDContainer\n",
    "\n",
    "credentials = pydata_google_auth.get_user_credentials(\n",
    "    ['https://www.googleapis.com/auth/bigquery'],\n",
    ")\n",
    "project_id = projectIDContainer.project_id\n",
    "threeColorsArray = ['#FFC6FF', '#CAFFBF', '#FFD6A5'] # tablet, desktop, mobile\n",
    "threeColorsArray1 = ['#FFC6FF', '#FFD6A5', '#CAFFBF'] # tablet, mobile, desktop\n",
    "threeColorsArray2 = ['#FFD6A5', '#CAFFBF', '#FFC6FF'] # mobile, desktop, tablet\n",
    "rainbowArray = ['#FFADAD', '#FFD6A5', '#FDFFB6', '#CAFFBF', '#9BF6FF', '#A0C4FF', '#BDB2FF', '#FFC6FF']\n",
    "singleColorArray = [\"#BDB2FF\"]\n",
    "\n",
    "def runQuery(queryName):\n",
    "    query = pd.read_gbq(queryName, project_id=project_id, dialect='standard', credentials=credentials)\n",
    "    print(query)\n",
    "    return query\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {}
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  deviceCategory  totalSessions\n",
      "0         tablet        1931531\n",
      "1        desktop        6572847\n",
      "2         mobile        7935801\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='totalSessions'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "totalSessionsPerDeviceCategory = \"\"\"\n",
    "    SELECT deviceCategory, SUM(sessions) AS totalSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY deviceCategory\n",
    "    ORDER BY totalSessions ASC\n",
    "\"\"\"\n",
    "runQuery(totalSessionsPerDeviceCategory).plot.pie(x='deviceCategory', y='totalSessions', colors=threeColorsArray, legend=False, labels=[\"tablet\", \"desktop\", \"mobile\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {}
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     channelGrouping  totalSessions\n",
      "0         Newsletter         106582\n",
      "1            Display         122714\n",
      "2            (Other)         154333\n",
      "3        Retargeting         209782\n",
      "4       Email alerts         298831\n",
      "5        Aggregators         537797\n",
      "6        Paid Search         673125\n",
      "7             Social         677312\n",
      "8   Partner referral         702044\n",
      "9              Email         891855\n",
      "10          Referral        2564612\n",
      "11            Direct        2854506\n",
      "12    Organic Search        6646686\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='channelGrouping'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "totalSessionsPerChannelGrouping = \"\"\"\n",
    "    SELECT channelGrouping, SUM(sessions) AS totalSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY channelGrouping\n",
    "    ORDER BY totalSessions ASC\n",
    "\"\"\"\n",
    "runQuery(totalSessionsPerChannelGrouping).plot.bar(x='channelGrouping', y='totalSessions', color=rainbowArray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    formattedDate  numberOfSessions\n",
      "0      2017-01-01             17367\n",
      "1      2017-01-02             27842\n",
      "2      2017-01-03             42792\n",
      "3      2017-01-04             42956\n",
      "4      2017-01-05             43019\n",
      "..            ...               ...\n",
      "500    2018-05-16             32012\n",
      "501    2018-05-17             26716\n",
      "502    2018-05-18             22831\n",
      "503    2018-05-19             14260\n",
      "504    2018-05-20             17993\n",
      "\n",
      "[505 rows x 2 columns]\n",
      "   formattedDate  numberOfSessions\n",
      "0     2017-07-01             19587\n",
      "1     2017-07-02             24581\n",
      "2     2017-07-03             44487\n",
      "3     2017-07-04              2991\n",
      "4     2017-07-05               392\n",
      "5     2017-07-06               250\n",
      "6     2017-07-07               184\n",
      "7     2017-07-08               141\n",
      "8     2017-07-09               117\n",
      "9     2017-07-10               104\n",
      "10    2017-07-11             35297\n",
      "11    2017-07-12             35401\n",
      "12    2017-07-13             32989\n",
      "13    2017-07-14             27177\n",
      "14    2017-07-15             19221\n",
      "15    2017-07-16             20640\n",
      "16    2017-07-17             35519\n",
      "17    2017-07-18             35898\n",
      "18    2017-07-19             39812\n",
      "19    2017-07-20             38116\n",
      "20    2017-07-21             26144\n",
      "21    2017-07-22             18614\n",
      "22    2017-07-23             21221\n",
      "23    2017-07-24             36918\n",
      "24    2017-07-25             40553\n",
      "25    2017-07-26             36546\n",
      "26    2017-07-27             32560\n",
      "27    2017-07-28             25011\n",
      "28    2017-07-29             18382\n",
      "29    2017-07-30             22466\n",
      "30    2017-07-31             42394\n",
      "         date channelGrouping deviceCategory  sessions  conversions\n",
      "0    20170703         (Other)         mobile        81            1\n",
      "1    20170703         (Other)         tablet        16            1\n",
      "2    20170703     Aggregators         mobile        86            2\n",
      "3    20170703     Aggregators         tablet        32            2\n",
      "4    20170703     Retargeting         tablet        42            2\n",
      "..        ...             ...            ...       ...          ...\n",
      "198  20170711          Direct        desktop      2424           75\n",
      "199  20170711        Referral        desktop      2444           97\n",
      "200  20170711  Organic Search        desktop      6013          366\n",
      "201  20170711          Direct         mobile      3613          114\n",
      "202  20170711  Organic Search         tablet      1948          136\n",
      "\n",
      "[203 rows x 5 columns]\n"
     ]
    },
    {
     "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>date</th>\n",
       "      <th>channelGrouping</th>\n",
       "      <th>deviceCategory</th>\n",
       "      <th>sessions</th>\n",
       "      <th>conversions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20170703</td>\n",
       "      <td>(Other)</td>\n",
       "      <td>mobile</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20170703</td>\n",
       "      <td>(Other)</td>\n",
       "      <td>tablet</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20170703</td>\n",
       "      <td>Aggregators</td>\n",
       "      <td>mobile</td>\n",
       "      <td>86</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20170703</td>\n",
       "      <td>Aggregators</td>\n",
       "      <td>tablet</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20170703</td>\n",
       "      <td>Retargeting</td>\n",
       "      <td>tablet</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>20170711</td>\n",
       "      <td>Direct</td>\n",
       "      <td>desktop</td>\n",
       "      <td>2424</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>20170711</td>\n",
       "      <td>Referral</td>\n",
       "      <td>desktop</td>\n",
       "      <td>2444</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>20170711</td>\n",
       "      <td>Organic Search</td>\n",
       "      <td>desktop</td>\n",
       "      <td>6013</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>20170711</td>\n",
       "      <td>Direct</td>\n",
       "      <td>mobile</td>\n",
       "      <td>3613</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>20170711</td>\n",
       "      <td>Organic Search</td>\n",
       "      <td>tablet</td>\n",
       "      <td>1948</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         date channelGrouping deviceCategory  sessions  conversions\n",
       "0    20170703         (Other)         mobile        81            1\n",
       "1    20170703         (Other)         tablet        16            1\n",
       "2    20170703     Aggregators         mobile        86            2\n",
       "3    20170703     Aggregators         tablet        32            2\n",
       "4    20170703     Retargeting         tablet        42            2\n",
       "..        ...             ...            ...       ...          ...\n",
       "198  20170711          Direct        desktop      2424           75\n",
       "199  20170711        Referral        desktop      2444           97\n",
       "200  20170711  Organic Search        desktop      6013          366\n",
       "201  20170711          Direct         mobile      3613          114\n",
       "202  20170711  Organic Search         tablet      1948          136\n",
       "\n",
       "[203 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "totalSessionsPerDay = \"\"\"\n",
    "    SELECT DATE(CAST(LEFT(CAST(date AS string), 4) AS INT64), \n",
    "            CAST(SUBSTRING(CAST(date AS string), 5, 2) AS INT64), \n",
    "            CAST(RIGHT(CAST(date AS string), 2) AS INT64)) AS formattedDate, \n",
    "        SUM(sessions) AS numberOfSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY formattedDate\n",
    "    ORDER BY formattedDate ASC\n",
    "\"\"\"\n",
    "runQuery(totalSessionsPerDay).plot.line(x='formattedDate', y='numberOfSessions', color=singleColorArray)\n",
    "\n",
    "totalSessionsPerDayForJuly2017 = \"\"\"\n",
    "    SELECT DATE(CAST(LEFT(CAST(date AS string), 4) AS INT64), \n",
    "            CAST(SUBSTRING(CAST(date AS string), 5, 2) AS INT64), \n",
    "            CAST(RIGHT(CAST(date AS string), 2) AS INT64)) AS formattedDate, \n",
    "        SUM(sessions) AS numberOfSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE CAST(date AS string) LIKE '201707%'\n",
    "    GROUP BY formattedDate\n",
    "    ORDER BY formattedDate ASC\n",
    "\"\"\"\n",
    "runQuery(totalSessionsPerDayForJuly2017).plot.line(x='formattedDate', y='numberOfSessions', color=singleColorArray)\n",
    "\n",
    "totalSessionsPerDayDuringDip = \"\"\"\n",
    "    SELECT *\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE date>=20170703 AND date<=20170711\n",
    "    ORDER BY date ASC\n",
    "\"\"\"\n",
    "runQuery(totalSessionsPerDayDuringDip)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  deviceCategory  averageConversions\n",
      "0         tablet                20.4\n",
      "1         mobile                38.6\n",
      "2        desktop                53.7\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='averageConversions'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "averageConversionsPerDeviceCategory = \"\"\"\n",
    "    SELECT deviceCategory, ROUND(AVG(conversions), 1) as averageConversions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY deviceCategory\n",
    "    ORDER BY averageConversions\n",
    "\"\"\"\n",
    "runQuery(averageConversionsPerDeviceCategory).plot.pie(y='averageConversions', colors=threeColorsArray1, legend=False, labels=[\"tablet\", \"mobile\", \"desktop\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  deviceCategory  conversionRate\n",
      "0         mobile          0.0261\n",
      "1        desktop          0.0430\n",
      "2         tablet          0.0551\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='conversionRate'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conversionRatePerDeviceCategory = \"\"\"\n",
    "    SELECT deviceCategory, ROUND((AVG(conversions))/(AVG(sessions)), 4) as conversionRate\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY deviceCategory\n",
    "    ORDER BY conversionRate\n",
    "\"\"\"\n",
    "runQuery(conversionRatePerDeviceCategory).plot.pie(x='deviceCategory', y='conversionRate', normalize=True, colors=threeColorsArray2, legend=False, labels=[\"mobile\", \"desktop\", \"tablet\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     channelGrouping  conversionRate\n",
      "0             Social          0.0287\n",
      "1            (Other)          0.0344\n",
      "2         Newsletter          0.0350\n",
      "3        Paid Search          0.0350\n",
      "4             Direct          0.0354\n",
      "5              Email          0.0357\n",
      "6        Aggregators          0.0358\n",
      "7       Email alerts          0.0358\n",
      "8     Organic Search          0.0368\n",
      "9           Referral          0.0370\n",
      "10       Retargeting          0.0387\n",
      "11  Partner referral          0.0399\n",
      "12           Display          0.0444\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='channelGrouping'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "conversionRatePerChannelGrouping = \"\"\"\n",
    "    SELECT channelGrouping, ROUND((AVG(conversions))/(AVG(sessions)), 4) as conversionRate\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY channelGrouping\n",
    "    ORDER BY conversionRate\n",
    "\"\"\"\n",
    "runQuery(conversionRatePerChannelGrouping).plot.bar(x='channelGrouping', y='conversionRate', color=rainbowArray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    formattedDate  conversionRate\n",
      "0      2017-01-01          0.0313\n",
      "1      2017-01-02          0.0308\n",
      "2      2017-01-03          0.0372\n",
      "3      2017-01-04          0.0317\n",
      "4      2017-01-05          0.0400\n",
      "..            ...             ...\n",
      "500    2018-05-16          0.0399\n",
      "501    2018-05-17          0.0345\n",
      "502    2018-05-18          0.0390\n",
      "503    2018-05-19          0.0342\n",
      "504    2018-05-20          0.0382\n",
      "\n",
      "[505 rows x 2 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='formattedDate'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "conversionRateOverTime = \"\"\"\n",
    "    SELECT DATE(CAST(LEFT(CAST(date AS string), 4) AS INT64), \n",
    "            CAST(SUBSTRING(CAST(date AS string), 5, 2) AS INT64), \n",
    "            CAST(RIGHT(CAST(date AS string), 2) AS INT64)) AS formattedDate, \n",
    "        ROUND((AVG(conversions))/(AVG(sessions)), 4) AS conversionRate\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY formattedDate\n",
    "    ORDER BY formattedDate ASC\n",
    "\"\"\"\n",
    "runQuery(conversionRateOverTime).plot.line(x='formattedDate', y='conversionRate', color=singleColorArray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    formattedDate  totalConversions\n",
      "0      2017-01-01               544\n",
      "1      2017-01-02               857\n",
      "2      2017-01-03              1590\n",
      "3      2017-01-04              1361\n",
      "4      2017-01-05              1719\n",
      "..            ...               ...\n",
      "500    2018-05-16              1278\n",
      "501    2018-05-17               922\n",
      "502    2018-05-18               891\n",
      "503    2018-05-19               488\n",
      "504    2018-05-20               688\n",
      "\n",
      "[505 rows x 2 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='formattedDate'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "totalConversionsOverTime = \"\"\"\n",
    "    SELECT DATE(CAST(LEFT(CAST(date AS string), 4) AS INT64), \n",
    "            CAST(SUBSTRING(CAST(date AS string), 5, 2) AS INT64), \n",
    "            CAST(RIGHT(CAST(date AS string), 2) AS INT64)) AS formattedDate,\n",
    "        SUM(conversions) AS totalConversions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    GROUP BY formattedDate\n",
    "    ORDER BY formattedDate ASC\n",
    "\"\"\"\n",
    "runQuery(totalConversionsOverTime).plot.line(x='formattedDate', y='totalConversions', color=singleColorArray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   conversionRateFor2017\n",
      "0                 0.0359\n",
      "   conversionRateFor2018\n",
      "0                  0.037\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "conversionRate2017 = \"\"\"\n",
    "    SELECT ROUND((AVG(conversions))/(AVG(sessions)), 4) AS conversionRateFor2017\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE date<20180000\n",
    "\"\"\"\n",
    "conversionRateFor2017 = runQuery(conversionRate2017).squeeze()\n",
    "\n",
    "conversionRate2018 = \"\"\"\n",
    "    SELECT ROUND((AVG(conversions))/(AVG(sessions)), 4) AS conversionRateFor2018\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE date>20180000\n",
    "\"\"\"\n",
    "conversionRateFor2018 = runQuery(conversionRate2018).squeeze()\n",
    "\n",
    "data = {\"Year\":[2017, 2018], \"Conversion Rate\":[conversionRateFor2017, conversionRateFor2018]};\n",
    "dataFrame= pd.DataFrame(data=data)\n",
    "dataFrame.plot.bar(x=\"Year\", y=\"Conversion Rate\", color=singleColorArray)\n",
    "plot.show(block=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     channelGrouping  totalSessions\n",
      "0         Newsletter           9286\n",
      "1            (Other)          17554\n",
      "2        Retargeting          19223\n",
      "3       Email alerts          26404\n",
      "4            Display          32090\n",
      "5             Social          37776\n",
      "6        Aggregators          47826\n",
      "7   Partner referral          83018\n",
      "8              Email          86646\n",
      "9        Paid Search          94330\n",
      "10            Direct         277229\n",
      "11          Referral         342738\n",
      "12    Organic Search         857411\n",
      "     channelGrouping  totalSessions\n",
      "0         Newsletter          27405\n",
      "1             Social          37549\n",
      "2            (Other)          52708\n",
      "3            Display          75258\n",
      "4        Retargeting         113498\n",
      "5       Email alerts         122579\n",
      "6        Aggregators         178839\n",
      "7        Paid Search         189047\n",
      "8              Email         346521\n",
      "9   Partner referral         458034\n",
      "10          Referral         992834\n",
      "11            Direct        1040719\n",
      "12    Organic Search        2937856\n",
      "     channelGrouping  totalSessions\n",
      "0            Display          15366\n",
      "1         Newsletter          69891\n",
      "2        Retargeting          77061\n",
      "3            (Other)          84071\n",
      "4       Email alerts         149848\n",
      "5   Partner referral         160992\n",
      "6        Aggregators         311132\n",
      "7        Paid Search         389748\n",
      "8              Email         458688\n",
      "9             Social         601987\n",
      "10          Referral        1229040\n",
      "11            Direct        1536558\n",
      "12    Organic Search        2851419\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='channelGrouping'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "numberOfSessionsPerChannelGroupingForTablet = \"\"\"\n",
    "    SELECT channelGrouping, SUM(sessions) as totalSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE deviceCategory=\"tablet\"\n",
    "    GROUP BY deviceCategory, channelGrouping\n",
    "    ORDER BY totalSessions\n",
    "\"\"\"\n",
    "runQuery(numberOfSessionsPerChannelGroupingForTablet).plot.bar(x='channelGrouping', y='totalSessions', color=rainbowArray)\n",
    "\n",
    "numberOfSessionsPerChannelGroupingForDesktop = \"\"\"\n",
    "    SELECT channelGrouping, SUM(sessions) as totalSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE deviceCategory=\"desktop\"\n",
    "    GROUP BY deviceCategory, channelGrouping\n",
    "    ORDER BY totalSessions\n",
    "\"\"\"\n",
    "runQuery(numberOfSessionsPerChannelGroupingForDesktop).plot.bar(x='channelGrouping', y='totalSessions', color=rainbowArray)\n",
    "\n",
    "numberOfSessionsPerChannelGroupingForMobile = \"\"\"\n",
    "    SELECT channelGrouping, SUM(sessions) as totalSessions\n",
    "    FROM \"\"\" + projectIDContainer.project_id + \"\"\"\n",
    "    .sample_data.datatable\n",
    "    WHERE deviceCategory=\"mobile\"\n",
    "    GROUP BY deviceCategory, channelGrouping\n",
    "    ORDER BY totalSessions\n",
    "\"\"\"\n",
    "runQuery(numberOfSessionsPerChannelGroupingForMobile).plot.bar(x='channelGrouping', y='totalSessions', color=rainbowArray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "extensions": {
   "jupyter_dashboards": {
    "activeView": "grid_default",
    "version": 1,
    "views": {
     "grid_default": {
      "cellMargin": 10,
      "defaultCellHeight": 20,
      "maxColumns": 12,
      "name": "grid",
      "type": "grid"
     },
     "report_default": {
      "name": "report",
      "type": "report"
     }
    }
   }
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}