nikhilkumarsingh

karamanbk

akamor

import random, csv
from datetime import timedelta, datetime
from faker import Faker
from faker.providers import person
from faker.providers import internet
from faker.providers import ssn
from faker.providers import address
from faker.providers import job
from faker.providers import date_time

vinayak-mehta

ToddKerpelman

A handful of BigQuery SQL queries that you can use to analyze your own Google Analytics for Firebase data. To find out more about how they work, check out our presentation from Cloud Next 2018 (Video link to be added soon)

Please note that these scripts have been updated to make sure of the new Firebase schema, which was rolled out to Analytics products in July of 2018.

Note that none of these scripts will work out of the box -- you'll need to update the values in brackets with the names of your actual datasets, and you'll most likely also need to replace the names of events and event properties with ones that are appropriate for your app.

The contents of this gist are licensed under the Apache License, version 2.0