AI-Powered Analysis of Sample Dataset

A practical and beginner-friendly guide to data analysis with Python and AI. Learn how to process, visualize, and interpret data step by step using real-world examples and tools.

This notebook will guide you through using Python and AI to data analysis step by step. You don’t need any prior experience - just follow along. Click button below each step to create Python code.

You’ll learn how to:

  1. Load a sample dataset

  2. Explore it with an easy report

  3. Ask AI questions about your data

  4. Make interactive charts

Let’s have fun with data!

Step 1 - Load a Sample Dataset

Pick one of our ready-to-go datasets to get started. Just click yellow Recipe button. The Iris dataset is a great choice to start with:

  • 150 samples of three iris species (setosa, versicolor, virginica)
  • 4 features: sepal length, sepal width, petal length, petal width

Or, simply click Ask AI and say Load sample dataset (or any other from scikit-learn) to have the AI fetch it for you.

Step 2 - Automated Exploratory Data Analysis (EDA)

Run a full EDA report in one click to:

  • See summary statistics (mean, median, quartiles)

  • Visualize distributions and correlations

  • Spot missing values and outliers

You’ll get an interactive report right here - just run the cell below and explore the tabs!

Step 3 - Ask AI for Data Insights

Got questions? Use plain English to dig deeper. For example:

“What are the strongest correlations in this dataset?”

“Are there any surprising outliers?”

Just click Ask AI: Get insights about dataset and let the AI do the rest. Feel free to tweak the prompt or ask follow-up questions in chat!

Step 4 - Build Interactive Visualizations with AI

Turn your insights into clear, interactive charts with Plotly. Try commands like:

  • “Show me a scatter plot of petal length vs. petal width.”

  • “Plot the distribution of sepal length by species.”

Click Ask AI: Create interactive visualization, wait a few seconds, and voilà - beautiful, interactive plots you can zoom, hover, and share!

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