First Experience with Google Data Studio

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In the data analysis world, there are plenty of opportunities to learn about different technologies. In that context, I tried to explore Google Data Studio, I am capturing my learning steps.

History:

Google Data Studio was initially made available to users in 2016. The development of the platform is a great example of rapid, Agile development.

Feature:

Google Data Studio has some important capabilities like Data Visualization, Data Access, Data Processing, Communication, and Data Exploration and Analysis.

Data Set:

To start with our own data analysis project, it is the best option to take the data from Kaggle. Here is the data link https://www.kaggle.com/gregorut/videogamesales

Abstraction:

This data is about Video Game Sales data.

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The file includes the following fields.

•Rank — Ranking of overall sales

•Name — The games name

•Platform — Platform of the game’s release (i.e. PC, PS4, etc.)

•Year — Year of the game’s release

•Genre — Genre of the game

•Publisher — Publisher of the game

•NA_Sales — Sales in North America (in millions)

•EU_Sales — Sales in Europe (in millions)

•JP_Sales — Sales in Japan (in millions)

•Other_Sales — Sales in the rest of the world (in millions)

•Global_Sales — Total worldwide sales.

Start with Google Data Studio:

If we do not have Google Account, the below screen will be displayed

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If we have Google Account, the below screen will appear.

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Features of Landing Screen of Google Data Studio:

In the below video, get some idea about the landing page and the next steps.

Data Source Connectivity:

The below video is about to do some hands-on experience with Google Data Studio and its Data Source Connectivity.

Difference Between Create Report vs. Explore:

•Unlike Reports, everything created in the Explorer is temporary in nature.

•The Explorer simply acts as a place for brainstorming and testing, allowing users to dive into the data before having to worry about report formatting.

  • If users wish to retain the work, they will need to manually save the Explorer sheet. If we wish to share our work with others, we can export our explorations to a Report.

“Create Report” Layout Explanation:

The below video is about to do some hands-on experience with the “Create Report” layout

Create a Sample Report:

Here is some practical example of Sample Report Creation.

Report Sharing Options:

There are different options to share the report. Let’s learn from the below video.

Conclusion:

Now we have some ideas about Google Data Studio. In the future, we will explore more features of Google Data Studio.

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