![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
| auto_grouping | Reduce cardinality in categorical variable by automatic grouping |
| categ_analysis | Profiling analysis of categorical vs. target variable |
| compare_df | Compare two data frames by keys |
| concatenate_n_vars | Concatenate 'N' variables |
| convert_df_to_categoric | Convert every column in a data frame to character |
| coord_plot | Coordinate plot |
| correlation_table | Get correlation against target variable |
| cross_plot | Cross-plotting input variable vs. target variable |
| data_country | People with flu data |
| data_golf | Play golf |
| desc_groups | Profiling categorical variable |
| desc_groups_rank | Profiling categorical variable (rank) |
| df_status | Get a summary for the given data frame (o vector). |
| discretize_df | Discretize a data frame |
| discretize_get_bins | Get the data frame thresholds for discretization |
| entropy_2 | Computes the entropy between two variables |
| equal_freq | Equal frequency binning |
| fibonacci | Fibonacci series |
| filter_vars | Filtering variables by string name |
| freq | Frequency table for categorical variables |
| gain_lift | Generates lift and cumulative gain performance table and plot |
| gain_ratio | Gain ratio |
| get_sample | Sampling training and test data |
| hampel_outlier | Hampel Outlier Threshold |
| heart_disease | Heart Disease Data |
| information_gain | Information gain |
| infor_magic | Computes several information theory metrics between two vectors |
| model_performance | Get model perfomance metrics (KS, AUC and ROC) |
| plotar | Correlation plots |
| plot_num | Plotting numerical data |
| prep_outliers | Outliers Data Preparation |
| profiling_num | Profiling numerical data |
| range01 | Transform a variable into the [0-1] range |
| tukey_outlier | Tukey Outlier Threshold |
| var_rank_info | Importance variable ranking based on information theory |
| v_compare | Compare two vectors |