Prepare data | Fit boosting models and visualize | xgboost with grid search hyperparameter optimization | xgboost with default parameters | xgboost with hand-picked parameters | predict on validation set | make predictions | predictions with eval_preds | get shapley values | understand xgboost with other functions from the original package

plot variable contributions | multiclass target | binary target | continuous target | auto anova

Analyze data properties with validata | Analyze data relationships with autostats | create dummies out of categorical variables | explore model-based variable contributions | create bins with tidybins | Create and analyze xgboost model for binary classification

Create a flextable from a small data frame | Create a pivot table with flextable | export tables to powerpoint

Distinct | Confirm Distinct | Determine Distinct | Mapping | Confirm mapping | Determine mapping | Overlap | Confirm Overlap | Determine Overlap | string length | confirm string length | choose string length | diagnose

zebra_blue | zebra_gold | tron | vader | vanilla | booktabs | alafoli

Bin Value

set nas | remove whitespace | set dates | relocate all | clean frame | fill nas

automatic formatting | argument descriptions | df | last id col | header words | make simple excel | export list of dfs | make an excel workbook with multiple sheets

Custom formatting | Automatic coloring

Pivot summary | 0 groups | 1 group | 2 groups