Function reference
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explore() - Explore a dataset or variable
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explore_all() - Explore all variables
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explore_bar() - Explore categorical variable using bar charts
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explore_cor() - Explore the correlation between two variables
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explore_count() - Explore count data (categories + frequency)
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explore_density() - Explore density of variable
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explore_shiny() - Explore dataset interactive
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explore_targetpct() - Explore variable + binary target (values 0/1)
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explore_tbl() - Explore table
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interact() - Make a explore-plot interactive
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describe() - Describe a dataset or variable
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describe_all() - Describe all variables of a dataset
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describe_cat() - Describe categorical variable
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describe_num() - Describe numerical variable
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describe_tbl() - Describe table
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explain_forest() - Explain a target using Random Forest.
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explain_logreg() - Explain a binary target using a logistic regression (glm). Model chosen by AIC in a Stepwise Algorithm (
MASS::stepAIC()).
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explain_tree() - Explain a target using a simple decision tree (classification or regression)
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explain_xgboost() - Explain a binary target using xgboost
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balance_target() - Balance target variable
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weight_target() - Weight target variable
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predict_target() - Predict target using a trained model.
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report() - Generate a report of all variables
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get_var_buckets() - Put variables into "buckets" to create a set of plots instead one large plot
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total_fig_height() - Get fig.height for RMarkdown-junk using explore_all()
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plot_legend_targetpct() - Plots a legend that can be used for explore_all with a binary target
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create_notebook_explore() - Generate a notebook
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abtest() - A/B testing
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abtest_shiny() - A/B testing interactive
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abtest_targetnum() - A/B testing comparing two mean
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abtest_targetpct() - A/B testing comparing percent per group
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add_var_id() - Add a variable id at first column in dataset
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add_var_random_01() - Add a random 0/1 variable to dataset
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add_var_random_cat() - Add a random categorical variable to dataset
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add_var_random_dbl() - Add a random double variable to dataset
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add_var_random_int() - Add a random integer variable to dataset
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add_var_random_moon() - Add a random moon variable to dataset
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add_var_random_starsign() - Add a random starsign variable to dataset
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create_data_abtest() - Create data of A/B testing
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create_data_app() - Create data app
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create_data_buy() - Create data buy
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create_data_churn() - Create data churn
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create_data_empty() - Create an empty dataset
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create_data_esoteric() - Create data esoteric
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create_data_newsletter() - Create data newsletter
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create_data_person() - Create data person
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create_data_random() - Create data random
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create_data_unfair() - Create data unfair
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use_data_beer() - Use the beer data set
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use_data_diamonds() - Use the diamonds data set
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use_data_iris() - Use the iris flower data set
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use_data_mpg() - Use the mpg data set
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use_data_mtcars() - Use the mtcars data set
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use_data_penguins() - Use the penguins data set
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use_data_starwars() - Use the starwars data set
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use_data_titanic() - Use the titanic data set
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clean_var() - Clean variable
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drop_obs_if() - Drop all observations where expression is true
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drop_obs_with_na() - Drop all observations with NA-values
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drop_var_by_names() - Drop variables by name
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drop_var_low_variance() - Drop all variables with low variance
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drop_var_no_variance() - Drop all variables with no variance
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drop_var_not_numeric() - Drop all not numeric variables
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drop_var_with_na() - Drop all variables with NA-values
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count_pct() - Adds percentage to dplyr::count()
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data_dict_md() - Create a data dictionary Markdown file
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decrypt() - decrypt text
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encrypt() - encrypt text
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get_type() - Return type of variable
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guess_cat_num() - Return if variable is categorical or numerical
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plot_text() - Plot a text
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replace_na_with() - Replace NA
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rescale01() - Rescales a numeric variable into values between 0 and 1
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simplify_text() - Simplifies a text string
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get_color() - Get predefined colors
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mix_color() - Mix colors
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show_color() - Show color vector as ggplot
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format_num_auto() - Format number as character string (auto)
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format_num_kMB() - Format number as character string (kMB)
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format_num_space() - Format number as character string (space as big.mark)
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format_target() - Format target
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format_type() - Format type description
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target_explore_cat() - Explore categorical variable + target
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target_explore_num() - Explore Nuberical variable + target
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log_info_if() - Log conditional
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plot_var_info() - Plot a variable info
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check_vec_low_variance() - Check vector for low variance
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cut_vec_num_avg() - Cut a variable