From the course: Generative AI Tools for Productivity and Research

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Data exploration with Google Gemini

Data exploration with Google Gemini

From the course: Generative AI Tools for Productivity and Research

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Data exploration with Google Gemini

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- [Instructor] With Gemini, you can explore data. To get data in hand, you can either copy and paste the values or create the sample. For this exercise, we will generate the synthetic dataset and explore the data with some basic statistical analysis. A prompt to get started can be, "To practice data exploration, create the synthetic dataset showing the citation styles for 100 publications." Okay, so now we have a data set of 100 rows. You might notice that number six to 95 are missing. This is because Gemini limits the output to a certain number of rows based on the basic plan. This is a queue to consider using fewer rows for your experiment. Now let's use the same prompt, but request only 15 rows. Okay, so now we have a synthetic dataset with 15 rows and it has columns like publication ID, citation style, year, field, and author count. Let's see what this looks like when we export directly to Google Sheets. Gemini has automatically created a new Google Sheet for us. Let's see. So…

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