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Project 1: EDA on Real Dataset

Module 6: EDA Project🟢 Free Lesson

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Project 1: EDA on Real Dataset

EDA Workflow Steps1. LoadCSV/SQL2. CleanNulls3. ExploreStats4. VizCharts5. ActInsightsMean: x̄ = (1/n)Σxᵢ | Std: s = √(Σ(xᵢ-x̄)²/(n-1)) | Corr: r = Σ(xᵢ-x̄)(yᵢ-ȳ)/√(Σ(xᵢ-x̄)²Σ(yᵢ-ȳ)²)IQR = Q3 - Q1 | Outlier: < Q1 - 1.5·IQR or > Q3 + 1.5·IQRSkewness = E[(X-μ)³]/σ³ | Kurtosis = E[(X-μ)⁴]/σ⁴ - 3

This project guides you through a complete Exploratory Data Analysis workflow using a real-world dataset.

EDA Workflow

Project Setup

Data Cleaning

Univariate Analysis

Bivariate Analysis

Visualization Best Practices

Key Takeaways

  1. Always start with data shape and types
  2. Handle missing values systematically
  3. Use multiple visualization types for comprehensive understanding
  4. Document findings at each step
  5. Generate actionable insights from patterns

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