A Bot That Generates Visualizations In Response To Messages
In this example, we'll show you how you can turn a dataset stored in Google Sheets into a conversational experience where the responses are custom tables and visualizations. A Google Drive was connected to Botsheets and conected to a Google Sheet. First, you'll need a datasaet and we scraped the web to create a dataset of SaaS startup investors.
Data Points Collected
- The Investor Firm
- The Investor Name
- The Type of Investor (Micro VC, Venture Capital, Accelerator)
- The Title of the Investor
- The Investor's Geographic Location
- The Investor's Email Address
- Have They Invested at the Pre-Seed Stage?
- Have They Invested at the Seed Stage?
- Did They Invest in 2024?
- Recent Investment Date
- Recent investment Amount
- Number of Investments Made
- Number of Lead Investments
- Number of Exits
- Their Smallest Investment
- Their Biggest Investment
- Investor / Firm URL
- Crunchbase URL
- Linkedin URL
- Twitter URL
- Angellist URL
Let's now look at the data we collected in a Google Sheet. Note that we'll only share a sample of the data we collected. If you want the complete dataset of 4,000 investors, you can click here to buy this valuable dataset
You can chat with your data privately directly from the Botsheets dashboard, but sharing the bot allows you to loop in others who can then interact with your data. This is a direct link share, but you can embed it into a webpage, or embed a widget that pops up in the corner of a webpage.
Best of all, if you make changes to your data in the Google Sheet, Botsheets keeps AI in sync with your changes.