| abtest | A/B testing | 
| abtest_shiny | A/B testing interactive | 
| abtest_targetnum | A/B testing comparing two mean | 
| abtest_targetpct | A/B testing comparing percent per group | 
| add_var_id | Add a variable id at first column in dataset | 
| add_var_random_01 | Add a random 0/1 variable to dataset | 
| add_var_random_cat | Add a random categorical variable to dataset | 
| add_var_random_dbl | Add a random double variable to dataset | 
| add_var_random_int | Add a random integer variable to dataset | 
| add_var_random_moon | Add a random moon variable to dataset | 
| add_var_random_starsign | Add a random starsign variable to dataset | 
| balance_target | Balance target variable | 
| check_vec_low_variance | Check vector for low variance | 
| clean_var | Clean variable | 
| count_pct | Adds percentage to dplyr::count() | 
| create_data_abtest | Create data of A/B testing | 
| create_data_app | Create data app | 
| create_data_buy | Create data buy | 
| create_data_churn | Create data churn | 
| create_data_empty | Create an empty dataset | 
| create_data_esoteric | Create data esoteric | 
| create_data_newsletter | Create data newsletter | 
| create_data_person | Create data person | 
| create_data_random | Create data random | 
| create_data_unfair | Create data unfair | 
| create_notebook_explore | Generate a notebook | 
| cut_vec_num_avg | Cut a variable | 
| data_dict_md | Create a data dictionary Markdown file | 
| decrypt | decrypt text | 
| describe | Describe a dataset or variable | 
| describe_all | Describe all variables of a dataset | 
| describe_cat | Describe categorical variable | 
| describe_num | Describe numerical variable | 
| describe_tbl | Describe table | 
| drop_obs_if | Drop all observations where expression is true | 
| drop_obs_with_na | Drop all observations with NA-values | 
| drop_var_by_names | Drop variables by name | 
| drop_var_low_variance | Drop all variables with low variance | 
| drop_var_not_numeric | Drop all not numeric variables | 
| drop_var_no_variance | Drop all variables with no variance | 
| drop_var_with_na | Drop all variables with NA-values | 
| encrypt | encrypt text | 
| explain_forest | Explain a target using Random Forest. | 
| explain_logreg | Explain a binary target using a logistic regression (glm). Model chosen by AIC in a Stepwise Algorithm ('MASS::stepAIC()'). | 
| explain_tree | Explain a target using a simple decision tree (classification or regression) | 
| explain_xgboost | Explain a binary target using xgboost | 
| explore | Explore a dataset or variable | 
| explore_all | Explore all variables | 
| explore_bar | Explore categorical variable using bar charts | 
| explore_col | Explore data without aggregation (label + value) | 
| explore_cor | Explore the correlation between two variables | 
| explore_count | Explore count data (categories + frequency) | 
| explore_density | Explore density of variable | 
| explore_shiny | Explore dataset interactive | 
| explore_targetpct | Explore variable + binary target (values 0/1) | 
| explore_tbl | Explore table | 
| format_num_auto | Format number as character string (auto) | 
| format_num_kMB | Format number as character string (kMB) | 
| format_num_space | Format number as character string (space as big.mark) | 
| format_target | Format target | 
| format_type | Format type description | 
| get_color | Get predefined colors | 
| get_type | Return type of variable | 
| get_var_buckets | Put variables into "buckets" to create a set of plots instead one large plot | 
| guess_cat_num | Return if variable is categorical or numerical | 
| interact | Make a explore-plot interactive | 
| log_info_if | Log conditional | 
| mix_color | Mix colors | 
| plot_legend_targetpct | Plots a legend that can be used for explore_all with a binary target | 
| plot_text | Plot a text | 
| plot_var_info | Plot a variable info | 
| predict_target | Predict target using a trained model. | 
| replace_na_with | Replace NA | 
| report | Generate a report of all variables | 
| rescale01 | Rescales a numeric variable into values between 0 and 1 | 
| show_color | Show color vector as ggplot | 
| simplify_text | Simplifies a text string | 
| target_explore_cat | Explore categorical variable + target | 
| target_explore_num | Explore Nuberical variable + target | 
| total_fig_height | Get fig.height for RMarkdown-junk using explore_all() | 
| use_data_beer | Use the beer data set | 
| use_data_diamonds | Use the diamonds data set | 
| use_data_iris | Use the iris flower data set | 
| use_data_mpg | Use the mpg data set | 
| use_data_mtcars | Use the mtcars data set | 
| use_data_penguins | Use the penguins data set | 
| use_data_starwars | Use the starwars data set | 
| use_data_titanic | Use the titanic data set | 
| use_data_wordle | Use the wordle data set | 
| weight_target | Weight target variable | 
| yyyymm_calc | Calculate with periods (format yyyymm) |