Home Research Guide How to Get Started with Data Visualization in Google Data Studio

How to Get Started with Data Visualization in Google Data Studio

In this article, we will show you how to get started data visualization in Google Data Studio (GDS). Google Data Studio is a free, easy to use interactive dashboard. GDS is a part of the Google marketing platform. it is a web based software and has its own ecosystem. 

One of the most important beneļ¬ts of data visualization is that it lets you visual access to your datasets. Here, we will show you how to work with an interactive dashboard. This online software lets you create the line chart, bar chart, area chart, and pie chart.

Data sources, connectors, and reports are the main concepts of this data studio.  You can generate reports as many as you can using this advanced data visualization techniques.

You can create one report using multiple sources of data. The same data source can be connected to many reports.

Here, the connector acquires data from various sources like Google Analytics, Big Query, Social Media,  Spreadsheets, etc. 

In this section, we will walk through a step by step guide of working with online data studio. You can either upload your own dataset or access publicly available datasets.

Here, we have connected the dashboard to the Search Console Data (URL) data source.  we created the following report.

Report
Final Report


Steps for How to Make Automatic Report with Google Data Studio

Step #1:Sign in to Google Data Studio

Start by signing in or creating an account on google. After signing in Google Data Studio you will see the following page.

Creating report using Google Data Stdio
Creating Report

Step #2: Create Report

Now, you can create a report easily. To create a new report you can either click on plus (+) sign or Create a Report.

You can also choose a template ready to use. After you click on the (+) sign the following interface will come:

Add Dataset to Report using GDS
Add Data to Report

Step #3: Connecting Data Source

You choose Add Data option from toolbar to connect the dataset. We have already mentioned before that we connected URL console sample data. You can add a report name to the dashboard. After adding data to the studio, the following interface will appear:

Table for Dataset
Table

Step #4: Data Visualizatiionio in Google Data Studio for Making Automatic Report

Now, you can integrate various types of graphs as per the demand of the stakeholders.

It is worth mentioning that the same dashboard connected with various data sources does not mean that you have to create multiple dashboards for prepaying the single report.

You can fetch data from different sources to create one report.

Adding Chart for making automatic report in Google Data studio
Adding Chart

You need to add a graph by clicking on Add a Chart button. Once you are taken the above page then you can select a graph from the menu.

You can use the dashboard to visualize the Key Performance Integrators (KPIs).

Dashboard
Dashboard

Step #5 :Embedding and Sharing Data Visualization Report

We already demonstrated how to make automatic report with Google Data Studio. After creating the final report you can share, download, and embed it. You select the Share option to share your data visualization report.

Once your report is created, you can download it as PDF. Below is the screenshot of the interface.

Sharing Report link to others
Sharing Report

You can download datasets using the Google Dataset Search engine to create a visualization report.


Conclusion

In this article, we have described on how to get started with data visualization in google data studio. In our earlier post, we discussed on open source data visualization tool with examples.

We hope this post was helpful and gave you some ideas on how to get started with data visualization using Google Data Studio. Let me know in the comment box if you have any feedback or constructive criticism.

Dr. Ujjal Marjit, PhDhttps://researcherssite.com
Dr. Ujjal Marjit leads the Centre for Information Resource Management of the University of Kalyani, India. He received his bachelor honours degree from Visva Bharati, Central University and Master in Computer Application from Jadavpur University, India.He did his BLISc and MLISc from Madurai Kamraj University, India. He obtained his PhD in Computer Science and Engineering from University of Kalyani. He was also a visiting researcher at Norwegian University of Science and Technology (NTNU), Norway. Dr. Marjit was a member of the Association for Computing Machinery (ACM), USA. He has coauthored several book chapters and over 70 research publications in various International Journals and Conferences. Dr. Marjit attended many national and international conferences in India and abroad ( Germany, London, Finland, Norway, Netherlands). He has been working in University since 2001.

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