This repository is used for visual exploration of target independent variable relationship. For each variable, below visualisations are plotted:

• The histogram of independent variable
• Log odds of target vs independent variable

Independent variables are processed as below:

• Numerical Variables: Create bins. Default 10 bins. For customer number of bins, use parameter numeric_bins
• Categorical Variables: Group low occuring values. Each value occuring <5% is grouped to others. For customer threshold, use parameter categorical_threshold

plot_exploratory_charts.py [-h] [--ifile IFILE] [--d D] [--target TARGET] [--invars INVARS] [--numeric_bins NUMERIC_BINS] [--categorical_threshold CATEGORICAL_THRESHOLD] [--output_csv OUTPUT_CSV]

--ifile Input file --d Delimiter. Default: Comma --target Dependent Variable. Default: target --invars File with independent variables --numeric_bins Bins for numerical variables. Defualt: 10 --categorical_threshold Threshold below which categorical values grouped to others. Defualt: 0.05 --output_csv Path for output summary csv. If not given, no csv output saved

python plot_exploratory_charts.py --ifile train.csv --invars vars.txt --target my_target

python plot_exploratory_charts.py --ifile train.csv --invars vars.txt --target my_target -d | --numeric_bins 20 --categorical_threshold 0.01 --output_csv bivariate_summary.csv