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Home Artificial Intelligence

Google’s Gemini AI Now Converts Spreadsheet Data into Charts

Akinola Ajibola by Akinola Ajibola
January 31, 2025
in Artificial Intelligence
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In Brief
  • Although creating data visualizations and spotting trends in data are essential business tasks, they may be time-consuming and sometimes intimidating.
  • We’re improving this experience by making it simpler for Sheets users from marketing experts to small company owners to see and analyse data with Gemini in...
  • Gemini can now answer queries about your data by providing information about trends or by producing static charts that you can add as pictures to your...

Although creating data visualizations and spotting trends in data are essential business tasks, they may be time-consuming and sometimes intimidating. We’re improving this experience by making it simpler for Sheets users from marketing experts to small company owners to see and analyse data with Gemini in Sheets. 

Google revealed in a post on the Workspace blog that Gemini has some new features that could make it more useful in Sheets. Gemini can now answer queries about your data by providing information about trends or by producing static charts that you can add as pictures to your spreadsheet. Users on the $19.99/month Google One AI Premium plan and the majority of Workspace plans are now able to use the new feature.

Gemini in Sheets can now respond to queries or take actions to handle a wide range of situations. You may specifically ask Gemini questions about your data, and they can offer insightful answers like contextual trends, patterns, and connections between various factors. Additionally, Gemini can create charts from your data that you can place over spreadsheet cells as static pictures.

For instance;

  • Asking “Provide some insights on my top 3 performing channels by conversion rate” can get a thorough breakdown with accompanying graphics for a marketing manager evaluating campaign effectiveness.
  • Asking “Predict my net income for the next quarter based on historical data” might help a small business owner who is in charge of cash flow proactively spot any possible gaps.
  • The question “Identify any anomalies in inventory levels for Product X” might be used by a financial analyst looking at inventory trends to find odd demand patterns or possible supply chain problems. 

According to Google, Gemini does all of this by writing and executing Python code and then generating an analysis of the code’s output. It could employ standard spreadsheet formulae for more straightforward requests, but the main benefit is that it might spare you the time and trouble associated with producing data visualizations. Previously, Gemini could only be used for more basic activities like making tables for you or instructing you on how to do tasks in Sheets.

Gemini in Sheets’ increased intelligence is reflected in this version, which now produces useful outputs by converting your queries into Python code, running them, and then evaluating the outcomes to carry out multi-layered analysis. Because of this, you can do things like immediately delve into the sales patterns of top-performing goods without writing a single line of code. 

Google warns that these AI-generated data visualizations are static pictures, so each time you change your data, you will need to request that Gemini create a new one. For datasets that you update often, it could be worthwhile to put in the upfront work because charts made using the old-fashioned method will always reflect your changes once they are in place. Google also warns that problems like uneven data formatting or missing numbers, as well as prompts that aren’t clear enough about what you want, might reduce Gemini’s accuracy.

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  • Make sure your data is in a consistent format, has clear headers, and has no missing values for the most accurate results.
  • To make sure Gemini understands your request, be as explicit as you can when you ask it to analyze your data in Sheets.
  • The performance of Gemini in Sheet is most reliable for sophisticated analysis in files with fewer than one million cells.
  • Gemini in Sheets may still use formulae rather than Python code to answer certain basic inquiries about your data.
  • Charts may be readily added to your document and are created as static pictures.
  • Charts won’t instantly update if your data changes since they aren’t connected to your sheet data. 
  • Charts cannot be changed after they are entered. You will have to create a new chart if you need to make adjustments. 

To use this feature either as an administrator, users must enable smart features and customization in order to access Gemini in the Workspace applications’ side panel. In the admin panel, administrators may enable the default customization setting for their users. Or as an end user; by selecting the “Ask Gemini” (spark button) in the upper right corner of Sheets, you may open Gemini for Sheets in the side panel. To find out more about working with Gemini in Sheets, visit the Help Centre. 

Whether Google’s Workspace users wanted it or not, the new feature is expected to be fully implemented by February 20th, joining other Gemini AI features that Google recently introduced to regular Workspace Business plans, along with a price increase.

Google Workspace offers Business Standard and Plus as well as Enterprise Standard and Plus. Users of Google One AI Premium who have the Gemini Education or Gemini Education Premium add-on

This functionality will also be available to anyone who has already purchased these add-ons:

Gemini Enterprise

Gemini Business

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