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Analyze Data and Build a Dashboard with AI - AI Foundations Day 13

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Building a Data Demo: Hands On

5:29 with Travis Alstrand

Upload a real dataset to Claude, explore it before questioning it, then ask questions that return charts, comparisons, and even predictions. Finish by generating a full interactive dashboard as an Artifact, and changing it with nothing but plain-language requests.

CSV Review Prompt

Here's a dataset. Before I ask any questions: 1.Tell me what columns exist, 2. How many rows of data there are, 3. What the dataset appears to be about, and 4. Whether there are any obvious data quality issues, like missing values, duplicates, or formatting problems.

Dashboard Creation Prompt

Of course, this should be tailored to your data and exact needs.

Create an interactive dashboard from this data. Include a summary card showing totals, a bar chart comparing categories, and a line chart showing trends over time. Make it clean and professional.

Vocabulary

  • Artifact — Claude's side panel, where documents, code, and interactive visualizations are created and edited alongside the conversation instead of scrolling past in the chat.
  • CSV (Comma-Separated Values) — A plain-text spreadsheet format — each line a row, commas between columns. The most common way to move data between tools.

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    So I've created a fresh project in Claude, and I'm attaching a CSV, or Comma 0:00
    Separated 0:04
    Values file right into the chat here. 0:04
    This is just a random dataset I chose from the website Kaggle. 0:07
    You can create a free account and browse and download tons of datasets that people 0:11
    have created and shared. 0:15
    For this demonstration, I'm using this Amazon sales dataset, which says it has 0:16
    250 records 0:21
    of Amazon sales transactions. 0:22
    So after uploading the file, the first thing we want to do is explore the dataset 0:26

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