Exploratory Data Analysis and Data Preparation Tool-Box Book

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 |

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 |

dist2d | Distance from specific point to line |

entropy_2 | Computes the entropy between two variables |

equal_freq | Equal frequency binning |

errors | Calculate Errors |

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 |

gg_colour_customs | Custom colours to use in ggplot as scale_color_manual |

gg_fill_customs | Custom colours to use in ggplot as scale_fill_manual |

gg_text_customs | Custom colours to use in ggplot as scale_color_manual on... |

hampel_outlier | Hampel Outlier Threshold |

heart_disease | Heart Disease Data |

infor_magic | Computes several information theory metrics between two... |

information_gain | Information gain |

lares_pal | Personal Colours Palette |

mae | Mean Absolute Error (MAE) |

mape | Mean Absolute Percentage Error (MAPE) |

mplot_cuts | Cuts by quantiles for score plot |

mplot_cuts_error | Cuts by quantiles on absolut and percentual errors plot |

mplot_density | Density plot for discrete and continuous values |

mplot_full | MPLOTS Score Full Report Plots |

mplot_lineal | Linear Regression Results Plot |

mplot_metrics | AUC and LogLoss Plots |

mplot_roc | ROC Curve Plot |

mplot_splits | Split and compare quantiles plot |

mse | Mean Squared Error (MSE) |

plotar | Correlation plots |

plot_num | Plotting numerical data |

plot_palette | Plot Palette Colours |

prep_outliers | Outliers Data Preparation |

profiling_num | Profiling numerical data |

range01 | Transform a variable into the [0-1] range |

rmse | Root Mean Squared Error (RMSE) |

ROC | ROC Curves |

rsq | R Squared |

rsqa | Adjusted R Squared |

scale_x_comma | Axis scales format |

theme_lares | Theme for ggplot2 |

theme_lares2 | lares Theme for ggplot2 |

tukey_outlier | Tukey Outlier Threshold |

var_rank_info | Importance variable ranking based on information theory |

v_compare | Compare two vectors |

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