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Using SQL to query data to get insights into an E-commerce business dataset provided by Google (Bigquery)

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LinhNguyen-MyLi/Google-Analysis-SQL

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Google-Analysis-SQL

SQL Project Google analytics session data

Note: To access data please follow steps below:

  1. Access console.cloud.google.com/bigquery
  2. Register for Google Cloud
  3. Click “Create Project” then name your project (Ex: query data from Google analytics
  4. Click Create
  5. In the left side, click SQL workspace
  6. In search tool, type ‘ga_session’ (click Broaden search to all project if the result don’t appear)
  7. Now you can use those query command below to explore dataset.

This project include answers (queries) for 08 task questions. Those questions are essential for exploring E-commerce dataset, it include:

• -- Query 01: calculate total visit, pageview, transaction and revenue for Jan, Feb and March 2017 order by month

• -- Query 02: Bounce rate per traffic source in July 2017 (Bounce session is the session that user does not raise any click after landing on the website)

• -- Query 03: Revenue by traffic source by week, by month in June 2017

• -- Query 04: Average number of product pageviews by purchaser type (purchasers vs non-purchasers) in June, July 2017.

• -- Query 05: Average number of transactions per user that made a purchase in July 2017

• -- Query 06: Average amount of money spent per session

• -- Query 07: Other products purchased by customers who purchased product "YouTube Men's Vintage Henley" in July 2017.

• -- Query 08: Calculate cohort map from pageview to add to cart to purchase in last 3 month

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