Data Science

5.

Exploratory Data Analysis

5.1.

EDA Philosophy and Approach

5.1.1.

Objectives of EDA

5.1.2.

Exploratory vs Confirmatory Analysis

5.1.3.

Iterative Nature of EDA

5.1.4.

Hypothesis Generation

5.2.

Data Understanding

5.2.1.

Data Structure Assessment

5.2.1.1.

5.2.1.2.

Data Dimensions

5.2.1.3.

5.2.1.4.

Data Quality Issues

5.2.2.

Metadata Exploration

5.2.2.1.

Variable Definitions

5.2.2.2.

Data Dictionary

5.2.2.3.

5.3.

Univariate Analysis

5.3.1.

Numerical Variables

5.3.1.1.

Central Tendency Measures

5.3.1.2.

Dispersion Measures

5.3.1.3.

Distribution Shape

5.3.1.4.

Outlier Detection

5.3.2.

Categorical Variables

5.3.2.1.

Frequency Tables

5.3.2.2.

5.3.2.3.

Category Distribution

5.3.3.

Visualization Techniques

5.3.3.1.

5.3.3.2.

5.3.3.3.

5.3.3.4.

5.3.3.5.

5.3.3.6.

5.4.

Bivariate Analysis

5.4.1.

Numerical vs Numerical

5.4.1.1.

5.4.1.2.

Correlation Analysis

5.4.1.3.

Regression Lines

5.4.2.

Categorical vs Categorical

5.4.2.1.

Contingency Tables

5.4.2.2.

Chi-square Tests

5.4.2.3.

5.4.2.4.

Stacked Bar Charts

5.4.2.5.

5.4.3.

Numerical vs Categorical

5.4.3.1.

Group Comparisons

5.4.3.2.

Box Plots by Group

5.4.3.3.

Violin Plots by Group

5.4.3.4.

Statistical Tests

5.5.

Multivariate Analysis

5.5.1.

Correlation Matrices

5.5.1.1.

5.5.1.2.

Correlation Networks

5.5.2.

Dimensionality Reduction Visualization

5.5.2.1.

Principal Component Analysis

5.5.2.2.

5.5.2.3.

5.5.3.

Parallel Coordinates

5.5.4.

5.5.5.

Faceted Visualizations

5.6.

Time Series EDA

5.6.1.

5.6.2.

Seasonality Detection

5.6.3.

Cyclical Patterns

5.6.4.

Autocorrelation Analysis

5.6.5.

Stationarity Testing

5.7.

Advanced EDA Techniques

5.7.1.

Interactive Visualizations

5.7.1.1.

5.7.1.2.

5.7.1.3.

5.7.2.

Statistical Summaries

5.7.2.1.

Descriptive Statistics Tables

5.7.2.2.

Distribution Fitting

5.7.2.3.

Goodness of Fit Tests

5.7.3.

Anomaly Detection

5.7.3.1.

Statistical Methods

5.7.3.2.

Visualization-based Detection

5.7.3.3.

Machine Learning Approaches

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