Exploratory Data Analysis with AI

Explore your data with AI—no coding needed. Upload a file, run automatic analysis, view charts and stats, then ask questions to find patterns, trends, and outliers easily.

In this notebook, you’ll transform raw data into insights in three easy steps:

  1. Load your dataset

  2. Analyze with automated EDA

  3. Discover deeper insights via AI chat

Let’s jump right in!

Step 1 – Load Your Dataset 📥

Quickly bring your data into the notebook:

  • 🍰 Recipe: Read Excel — Upload an Excel file through the UI.

  • 🤖 AI Read File — AI auto-detects and loads your file into a pandas DataFrame named df.

You’ll immediately see the first few rows to confirm it loaded correctly.

Step 2 – Automated EDA ⚙️

Run a one-click EDA report to:

  • View summary statistics (mean, median, quartiles)

  • Visualize distributions and correlations

  • Detect missing values and outliers

Just run the cell below and explore the interactive report!

Step 3 – Ask AI for Data Insights 💬

Have questions? Chat with your data using plain English to uncover trends, key drivers, and anomalies. For example:

“Which features most influence my target variable?”

“Are there any surprising outliers?”

“Compare the distribution of sales by region.”

Type your question below, and AI will run the analysis and show results!

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