Data Cleaning with Pandas in Python
Clean a messy real-world dataset: handle missing values, fix dtypes, remove duplicates, and standardize columns using pandas and an AI data analyst.
Open analysis →Analysis category
Data Analysis
Ready-to-run examples generated from notebook workflows.
Data Visualization in Python with Seaborn
Create production-quality charts — bar, scatter, histogram, box plot, and heatmap — from real data using matplotlib and seaborn with an AI data analyst.
Open analysis →Exploratory Data Analysis (EDA) in Python
Complete EDA workflow: load data, check quality, compute correlations, detect outliers, and visualize distributions — all with an AI data analyst.
Open analysis →How to Analyze a CSV File in Python
A step-by-step AI data analyst session: load a CSV, inspect structure, handle missing values, and generate a full exploratory summary.
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