Google Sheets provides its users with an online Spreadsheet for the storage of data. Google Sheets further houses formulas and other tools that users can leverage to draw insights from their data. Such insights can make the work of decision-makers easier and efficient. 

However, it is difficult to analyze textual or numerical data and draw insights from it. The human brain can grasp information more quickly from a visual presentation than from textual or numerical data. That’s why you should consider presenting your Google Sheets data visually. The best way to achieve this is by creating a Dashboard from your data using Google Sheets Dashboards.

Google Sheets Dashboards feature different types of visualizations to communicate the insights to users. It makes it easier for everyone to understand the information you are trying to communicate.

This article provides a detailed overview of Google Sheets Dashboards and also acts as a step-by-step guide for setting up your Google Sheets Dashboards.

Table of Contents

Introduction to Google Sheets

Google Sheets Dashboards: Google Sheets logo
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Google Sheets is an online Spreadsheet application owned by Google. It is similar to other Spreadsheet Tools, but the fact that it’s an online platform makes it more useful than other Spreadsheet Applications. 

Following are some unique features of Google Sheets that make it a better Spreadsheet application:

  • It is a Web-Based Application that can be used from any location. Thus, you can access your files from anywhere and anytime. 
  • It is usable on multiple devices. There are Google Sheet Applications for iOS and Android and the Web-Based Core Application. 
  • Google Sheets is a Free Application and it’s connected to Google Drive, Google Docs, and Google Slides for document sharing. 
  • It is user-friendly and accumulates all the necessary elements for Data Visualization.
  • With Google Sheets, you can download add-ons and even create your own add-ons.
  • Since it’s an online tool, you can use your Spreadsheet to collect data automatically.

For more information on Google Sheets, click here.

Introduction to Google Sheets Dashboards

Google Sheets Dashboards image
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Consider the last time you wanted to check a Key Performance Indicator (KPI) or a Metric for a report. Probably, you had to search through raw data in multiple Spreadsheets. This can be a great challenge, especially when you need to get answers quickly. The best way to solve this problem is by creating a Dashboard in Google Sheets. 

The purpose of Dashboards is to present your data visually, which gives you an at-a-glance overview of the Key Metrics for your business. Google Sheets Dashboards provide options for you to visualize your data using Tables, Charts, and Graphs. This makes it easier for your team members and users to understand information extracted from the Spreadsheet.

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Steps to Set up Google Sheets Dashboards

The process of creating a Dashboard in Google Sheets involves creating and adding different types of visualizations. Follow the steps given below to Set Up Google Sheets Dashboards:

Step 1: Logging in

Log into your Google Sheets account.

Step 2: Load Data into Google Sheets

The second step is to Load Data into Google Sheets. Click the “File” menu and choose “Open”. This will open a new window that prompts you to select the data to be loaded.

Google Sheets Dashboards: Import File image
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There are different sources where you can Load Data from. To upload the data from the computer, click the “Upload” tab then navigate to where the data is located. Select the data and then click the “Open” button to load it into your Google Spreadsheet.

Google Sheets Dashboards: Imported File image
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The data will be loaded into the Spreadsheet as shown above. In this case, the data loaded is eCommerce data that shows the Views, Adds to Cart, Checkouts, Quantity Purchased, and Revenue Generated by different products on sale.

Step 3: Insert Chart

Now that the data has been loaded into the Spreadsheet, you can create a chart. Select the rows and columns in the file that need to be visualized using charts. Click the “Insert” menu and choose “Chart”. You can also click the “Insert Chart” icon from the menu bar.

In the given example, column A and B have been selected to generate a column chart that shows the number of views for different products.

Google Sheets Dashboards: Insert Chart image
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Step 4: Select Chart Type

Google Sheets will automatically suggest the right chart for you based on the type of data that you’ve selected.

Google Sheets Dashboards: Select Chart Type image
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Step 5: Using the Chart Editor

If you need to make any changes to the chart, you can do so using the “Chart Editor” window shown on the right side of the Spreadsheet. 

For instance, if you need to change the type of chart, use the “Chart Type” drop-down button to select another type of chart for your Dashboard.

Google Sheets Dashboards: Chart Editor image
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Step 6: Insert Other Charts

Follow the same sequence of steps to insert another chart(s) into the Dashboard. For example, to see the products and their associated checkouts, select column A, hold down the Ctrl key, and select column D.

Google Sheets Dashboards: Insert other charts example image
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Click the “Insert” menu and select “Chart”. By default, it will insert a Column Chart. You can change the type of chart using the Chart Editor window. For example, you can change it to a Pie Chart.

Google Sheets Dashboards: Pie Chart image
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Step 7: Share the Google Sheets Dashboards

Once done, share the Dashboard with other users by clicking the “File” menu and selecting the “Share” button.

Google Sheets Dashboards: Share the Google Sheets Dashboards image
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A new window will pop up asking you to type the emails of individuals and groups that you need to share the Dashboard with. Once done, click the “Done” button.

Google Sheets Dashboards: Share it with your peers image
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You have successfully created Google Sheets Dashboards and shared them with others.

Limitations of Google Sheets Dashboards

The following are the challenges that users’ experience when creating and using Google Sheets Dashboards:

  • Insufficient Data Visualization Tools: Google Sheets doesn’t come with a wide variety of Data Visualization Tools like other Spreadsheet applications such as Microsoft Excel. 
  • Complex Process: The process of creating Dashboards in Google Sheets is a bit complex and can puzzle inexperienced Google Sheets users. 
  • Importing Data from Other Sources: Users experience challenges when they need to import data from other data sources into Google Sheets in real-time.


Google Sheets Dashboards help you to visually represent your data using Pie Chart, Bar Plot, Histogram, etc. This article has provided an overall picture of Google Sheets Dashboards. It has provided the 7 easy steps to set up your Google Sheets Dashboards. This article has also talked about the challenges you might face while working with Google Sheets Dashboards. In case you want to migrate data, then Hevo Data is the right choice for you! It will help simplify the ETL and management process of both the data sources and the data destinations.

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Hevo Data provides its users with a simpler platform for integrating data from 100+ sources(including 40+ free sources) for Analysis such as Google Sheets for free. It is a No-code Data Pipeline that can help you combine data from multiple sources. You can use it to transfer data from multiple data sources into your Data Warehouses/Databases, or a destination of your choice. It provides you with a consistent and reliable solution to managing data in real-time, ensuring that you always have Analysis-ready data in your desired destination.

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Share your experience of building Google Sheets Dashboards in the comments section below!

Nicholas Samuel
Freelance Technical Content Writer, Hevo Data

Skilled in freelance writing within the data industry, Nicholas is passionate about unraveling the complexities of data integration and data analysis through informative content for those delving deeper into these subjects. He has written more than 150+ blogs on databases, processes, and tutorials that help data practitioners solve their day-to-day problems.

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