Simplifies Exploratory Data Analysis
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Documentation for package ‘explore’ version 1.3.0
Help Pages
| 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_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 |
| weight_target | Weight target variable |