How do you analyze and visualize your google form data using google sheets or other tools?

Google Forms for Quantitative Data Collection Google Forms is a web-based Google Application used for designing and administering opinion surveys including both quantitative and qualitative data collection.

For the data management, we need to make a single Source of Truth – a version of the data that is clean, that everyone will use. The data of google form is not preferred to use as the Source of Truth because the data in it is dirty. We can use Power BI or any visualization tools for further purposes.

Google Forms connected to sheets is a great way to build something fast and cheap. No coding skills are needed, and an easy-to-use UI between the two software makes it easy to set up. You can set up a report in the assigned Google Sheets with a dashboard or connect it to a Google Slides report for easily automated reporting results. I like to connect the Google Sheets data set to Looker Studio to give the results more of a dynamic report.

Analyze and visualize Google Form data in Google Sheets by importing responses directly into a spreadsheet. Use built-in functions to clean and analyze the data, such as sorting, filtering, and pivot tables. Create visualizations with Google Sheets' charting tools, selecting appropriate charts (e.g., bar, line, pie) for the data. For advanced analysis, integrate with tools like Google Data Studio for interactive dashboards or export data to software like Excel or Tableau.

Beyond basic data visualization in Google Sheets, integration with Google Looker Studio opens up a world of possibilities for deeper analyzes and the creation of custom reports and dynamic dashboards. For example, you can create interactive dashboards that update in real time with the latest data from your spreadsheets. In addition, Google Looker Studio allows you to reconcile and cross-reference Google Sheets data with other sources, such as SQL databases, Google Analytics, and many others. This functionality is particularly useful for obtaining a comprehensive and integrated view of various information sources, thereby facilitating more informed decision-making based on complete and up-to-date data.

Building out a Google Sheets dashboard is a great way to visualize the data quickly. Connecting the Sheet to Looker Studio, or other BI tools, is a great way to get insights. But you can get a lot of insights with the charts offered in the software. With the right KPIs and an understanding of what charts to use, you could build out a nice report right in the Google Sheets workbook.

One great add-on for this type of system, especially for email building, is to connect it to the mail merge add-on. This would allow you to send emails directly from Gmail to the emails collected. Think of it as light weight MailChimp.

for advanced charts such as maps, grouping bar charts and other kinds of visualisations that require transforming data, it is worth to considering export the data as csv and handle that with other tools. One option that is worth exploring is the combo matplotlib + pandas. Both are from Python ecosystem and offer many functionalities out-of-the-box. The downside is that it requires programming skills.