auto_grouping | Reduce cardinality in categorical variable by automatic... |
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 |
data_integrity | Data integrity |
data_integrity_model | Check data integrity model |
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 |
discretize_rgr | Variable discretization by gain ratio maximization |
entropy_2 | Computes the entropy between two variables |
equal_freq | Equal frequency binning |
export_plot | Export plot to jpeg file |
fibonacci | Fibonacci series |
freq | Frequency table for categorical variables |
funModeling-package | funModeling: Exploratory data analysis, data preparation and... |
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 |
infor_magic | Computes several information theory metrics between two... |
information_gain | Information gain |
metadata_models | Metadata models data integrity |
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 |
status | Get a summary for the given data frame (o vector). |
tukey_outlier | Tukey Outlier Threshold |
var_rank_info | Importance variable ranking based on information theory |
v_compare | Compare two vectors |
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