🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)
pdf pandas seaborn python-programming matplotlib feature-engineering data-normalization descriptive-statistics correlation-analysis project-organization data-presentation attention-to-detail multi-select-column-handling insight-extraction pdfpages insight-storytelling documentation-writing problem-solving-mindset cleaned-csv
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Updated
Sep 24, 2025 - Jupyter Notebook