util_0.reading_the_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reading the data the easy way"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Package installation and imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -U -q datalearn19intro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datalearn19intro import (get_accounts, get_events, get_subscriptions, get_users)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "acc = get_accounts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>account_id</th>\n",
       "      <th>marketing_source</th>\n",
       "      <th>marketing_referrer</th>\n",
       "      <th>created_at</th>\n",
       "      <th>plan_id</th>\n",
       "      <th>trial_start</th>\n",
       "      <th>started_plan_at</th>\n",
       "      <th>signup_box_origin</th>\n",
       "      <th>churn_state</th>\n",
       "      <th>churn_date</th>\n",
       "      <th>...</th>\n",
       "      <th>utm_cluster_id</th>\n",
       "      <th>pricing_version</th>\n",
       "      <th>has_domain</th>\n",
       "      <th>mrr</th>\n",
       "      <th>lead_score</th>\n",
       "      <th>industry.1</th>\n",
       "      <th>team_size</th>\n",
       "      <th>user_goal</th>\n",
       "      <th>user_description</th>\n",
       "      <th>sub_industry</th>\n",
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       "      <td>https://www.bing.com/search?q=basecamp login</td>\n",
       "      <td>2019-01-01</td>\n",
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       "      <td>2019-01-01</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>orders</td>\n",
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       "      <td>0</td>\n",
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       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mobile_app</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2793498</td>\n",
       "      <td>adwordsverticals</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>todos</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   account_id  marketing_source                            marketing_referrer  \\\n",
       "0     2793496              bing  https://www.bing.com/search?q=basecamp login   \n",
       "1     2793497               NaN                                           NaN   \n",
       "2     2793498  adwordsverticals                       https://www.google.com/   \n",
       "\n",
       "   created_at  plan_id trial_start started_plan_at signup_box_origin  \\\n",
       "0  2019-01-01      NaN  2019-01-01             NaN               NaN   \n",
       "1  2019-01-01      NaN  2019-01-01             NaN        mobile_app   \n",
       "2  2019-01-01      NaN  2019-01-01             NaN               NaN   \n",
       "\n",
       "  churn_state churn_date  ...  utm_cluster_id  pricing_version has_domain mrr  \\\n",
       "0        none        NaN  ...          orders                3          0 NaN   \n",
       "1        none        NaN  ...             NaN                3          0 NaN   \n",
       "2        none        NaN  ...           todos                3          0 NaN   \n",
       "\n",
       "  lead_score  industry.1  team_size  user_goal  user_description sub_industry  \n",
       "0          0         NaN        NaN        NaN               NaN          NaN  \n",
       "1          0         NaN        NaN        NaN               NaN          NaN  \n",
       "2          0       Other          1        NaN               NaN          NaN  \n",
       "\n",
       "[3 rows x 49 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "events = get_events()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>raw_events</th>\n",
       "      <th>group_events</th>\n",
       "      <th>...</th>\n",
       "      <th>new_entry_events</th>\n",
       "      <th>payment_events</th>\n",
       "      <th>inbox_events</th>\n",
       "      <th>communicating_events</th>\n",
       "      <th>non_communicating_events</th>\n",
       "      <th>web_events</th>\n",
       "      <th>ios_events</th>\n",
       "      <th>android_events</th>\n",
       "      <th>desktop_app_events</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE  user_id  account_id  total_events  column_events  board_events  \\\n",
       "0  2019-01-01  6181915     2793790           212             30             1   \n",
       "1  2019-01-01  6182266     2793900           207              0             0   \n",
       "2  2019-01-01  6182190     2793860             4              0             0   \n",
       "\n",
       "   num_of_boards  count_kind_columns  raw_events  group_events  ...  \\\n",
       "0              1                   4          14             0  ...   \n",
       "1              0                   0           0             0  ...   \n",
       "2              0                   0           0             0  ...   \n",
       "\n",
       "   new_entry_events  payment_events  inbox_events  communicating_events  \\\n",
       "0                 1               0             1                     4   \n",
       "1                 1               0             0                     0   \n",
       "2                 0               0             0                     0   \n",
       "\n",
       "   non_communicating_events  web_events  ios_events  android_events  \\\n",
       "0                        58         201           0               0   \n",
       "1                         1           0         189               0   \n",
       "2                         0           0           0               0   \n",
       "\n",
       "   desktop_app_events  empty_events  \n",
       "0                   0             9  \n",
       "1                   0             8  \n",
       "2                   0             0  \n",
       "\n",
       "[3 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "subs = get_subscriptions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>account_id</th>\n",
       "      <th>plan_id</th>\n",
       "      <th>event_type</th>\n",
       "      <th>invoice_charge_amount</th>\n",
       "      <th>prev_plan_id</th>\n",
       "      <th>status</th>\n",
       "      <th>status_reason</th>\n",
       "      <th>currency</th>\n",
       "      <th>invoice_charge_amount_usd</th>\n",
       "      <th>mrr_gain</th>\n",
       "      <th>subscription_id</th>\n",
       "      <th>next_charge_date</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>transaction_date</th>\n",
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       "      <td>2019-01-07</td>\n",
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       "      <td>CHARGE</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2019-01-07 21:05:00</td>\n",
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       "      <td>AUD</td>\n",
       "      <td>43.94</td>\n",
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       "      <td>CC</td>\n",
       "      <td>2019-05-07 20:34:00</td>\n",
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       "    <tr>\n",
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       "      <td>2019-03-07</td>\n",
       "      <td>2793955</td>\n",
       "      <td>199</td>\n",
       "      <td>RECURRING</td>\n",
       "      <td>64.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUD</td>\n",
       "      <td>44.20</td>\n",
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       "      <td>CC</td>\n",
       "      <td>2019-03-07 21:33:00</td>\n",
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      ],
      "text/plain": [
       "   event_date  account_id  plan_id event_type  invoice_charge_amount  \\\n",
       "0  2019-01-07     2793955      199     CHARGE                   64.0   \n",
       "1  2019-05-07     2793955      199  RECURRING                   64.0   \n",
       "2  2019-03-07     2793955      199  RECURRING                   64.0   \n",
       "\n",
       "   prev_plan_id status status_reason currency  invoice_charge_amount_usd  \\\n",
       "0           NaN    NaN           NaN      AUD                      44.67   \n",
       "1         199.0    NaN           NaN      AUD                      43.94   \n",
       "2         199.0    NaN           NaN      AUD                      44.20   \n",
       "\n",
       "   mrr_gain  subscription_id     next_charge_date payment_type  \\\n",
       "0      46.0       65984302.0  2019-02-07 21:05:00           CC   \n",
       "1       0.0       65984302.0  2019-06-07 20:05:00           CC   \n",
       "2       0.0       65984302.0  2019-04-07 20:05:00           CC   \n",
       "\n",
       "      transaction_date  \n",
       "0  2019-01-07 21:05:00  \n",
       "1  2019-05-07 20:34:00  \n",
       "2  2019-03-07 21:33:00  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subs.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "users = get_users()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>LANGUAGE</th>\n",
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       "      <td>New South Wales</td>\n",
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       "      <td>microsoft edge</td>\n",
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       "      <td>Old Bridge</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4005516.0</td>\n",
       "      <td>29837847.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2793497</td>\n",
       "      <td>6181386</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>New York</td>\n",
       "      <td>New York</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4005619.0</td>\n",
       "      <td>29839571.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   account_id  user_id  created_at  is_admin  pending  enabled  \\\n",
       "0     2793496  6181341  2018-12-31         1        0        1   \n",
       "1     2793497  6181339  2018-12-31         1        0        1   \n",
       "2     2793497  6181386  2019-01-01         0        0        1   \n",
       "\n",
       "  became_active_at  time_diff        city           region  ...  \\\n",
       "0       2019-01-01       11.0    Warrawee  New South Wales  ...   \n",
       "1       2019-01-01       -5.0  Old Bridge       New Jersey  ...   \n",
       "2       2019-01-01       -5.0    New York         New York  ...   \n",
       "\n",
       "          browser  is_gmail  campaign_id first_user_in_account_id LANGUAGE  \\\n",
       "0  microsoft edge         1    4005514.0               29837820.0      NaN   \n",
       "1             NaN         1    4005516.0               29837847.0      NaN   \n",
       "2             NaN         1    4005619.0               29839571.0      NaN   \n",
       "\n",
       "  gender  seniority  title  mobile_activation_date has_phone  \n",
       "0      M        NaN    NaN                     NaN         1  \n",
       "1      F        NaN    NaN              2019-01-01         1  \n",
       "2      M        NaN    NaN              2019-01-01         1  \n",
       "\n",
       "[3 rows x 25 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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