Econometrics and Data Analysis

1. Data Analysis Techniques
   1. Data Cleaning and Preparation
      1. Handling Missing Data
         1. Imputation Methods
            1. Mean/Median/Mode Imputation
            2. Regression Imputation
            3. Multiple Imputation
            4. K-nearest Neighbors (KNN) imputation
         2. Deletion Methods
            1. Listwise Deletion
            2. Pairwise Deletion
         3. Advanced Techniques
            1. Maximum Likelihood Estimation
            2. Machine Learning Imputation
      2. Dealing with Outliers
         1. Identification Methods
            1. Z-score Analysis
            2. IQR Rule
            3. Boxplots
         2. Handling Techniques
            1. Trimming
            2. Winsorization
            3. Transformation Methods
      3. Data Transformation and Scaling
         1. Normalization Techniques
            1. Min-Max Scaling
            2. Z-score Normalization
         2. Log Transformation
         3. Box-Cox Transformation
         4. Feature Engineering
            1. Creating New Features
            2. Feature Reduction Techniques
               1. Principal Component Analysis (PCA)
               2. Singular Value Decomposition (SVD)
   2. Exploratory Data Analysis
      1. Descriptive Statistics
         1. Measures of Central Tendency
            1. Mean
            2. Median
            3. Mode
         2. Measures of Dispersion
            1. Variance
            2. Standard Deviation
            3. Range and Interquartile Range
      2. Visualization Techniques
         1. Univariate Visualization
            1. Histograms
            2. Box Plots
            3. Density Plots
         2. Bivariate Visualization
            1. Scatter Plots
            2. Hexbin Plots
            3. Heatmaps
         3. Multivariate Visualization
            1. Pairwise Plot (Scatterplot Matrix)
            2. Parallel Coordinates Plot
            3. Dimensionality Reduction Visualizations
   3. Advanced Data Visualization
      1. Interactive Plots
         1. Dashboards
         2. Dynamic Plotting Libraries
            1. Plotly
            2. Bokeh
         3. Animation in Data Visualization
      2. Geospatial Analysis
         1. Mapping Techniques
            1. Choropleth Maps
            2. Interactive Maps with Leaflet
         2. Spatial Statistics
            1. Spatial Autocorrelation
            2. Geographically Weighted Regression (GWR)
         3. Applications in Real-world Problems
            1. Urban Planning
            2. Environmental Monitoring