funModeling quick-start
Blog posts based on funModeling: | Opening the black-box | About this quick-start | Exploratory data analysis | status: Dataset health status (2nd version) | data_integrity: Dataset health status (2nd version) | plot_num: Plotting distributions for numerical variables | profiling_num: Calculating several statistics for numerical variables | freq: Getting frequency distributions for categoric variables | Correlation | correlation_table: Calculates R statistic | var_rank_info: Correlation based on information theory | cross_plot: Distribution plot between input and target variable | plotar: Boxplot and density histogram between input and target variables | categ_analysis: Quantitative analysis for binary outcome | Data preparation | Data discretization | discretize_get_bins + discretize_df: Convert numeric variables to categoric | equal_freq: Convert numeric variable to categoric | discretize_rgr: Variable discretization based on gain ratio maximization | range01: Scales variable into the 0 to 1 range | Outliers data preparation | hampel_outlier and tukey_outlier: Gets outliers threshold | prep_outliers: Prepare outliers in a data frame | Predictive model performance | gain_lift: Gain and lift performance curve | coord_plot: Coordinate plot (clustering models)
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