| dlookr-package | dlookr: Tools for Data Diagnosis, Exploration, Transformation |
| binning | Binning the Numeric Data |
| binning_by | Optimal Binning for Scoring Modeling |
| compare_category | Compare categorical variables |
| compare_category.data.frame | Compare categorical variables |
| compare_numeric | Compare numerical variables |
| compare_numeric.data.frame | Compare numerical variables |
| correlate | Compute the correlation coefficient between two numerical data |
| correlate.data.frame | Compute the correlation coefficient between two numerical data |
| correlate.tbl_dbi | Compute the correlation coefficient between two numerical data |
| describe | Compute descriptive statistic |
| describe.data.frame | Compute descriptive statistic |
| describe.tbl_dbi | Compute descriptive statistic |
| diagnose | Diagnose data quality of variables |
| diagnose.data.frame | Diagnose data quality of variables |
| diagnose.tbl_dbi | Diagnose data quality of variables in the DBMS |
| diagnose_category | Diagnose data quality of categorical variables |
| diagnose_category.data.frame | Diagnose data quality of categorical variables |
| diagnose_category.tbl_dbi | Diagnose data quality of categorical variables in the DBMS |
| diagnose_numeric | Diagnose data quality of numerical variables |
| diagnose_numeric.data.frame | Diagnose data quality of numerical variables |
| diagnose_numeric.tbl_dbi | Diagnose data quality of numerical variables in the DBMS |
| diagnose_outlier | Diagnose outlier of numerical variables |
| diagnose_outlier.data.frame | Diagnose outlier of numerical variables |
| diagnose_outlier.tbl_dbi | Diagnose outlier of numerical variables in the DBMS |
| diagnose_report | Reporting the information of data diagnosis |
| diagnose_report.data.frame | Reporting the information of data diagnosis |
| diagnose_report.tbl_dbi | Reporting the information of data diagnosis for table of the DBMS |
| dlookr | dlookr: Tools for Data Diagnosis, Exploration, Transformation |
| eda_report | Reporting the information of EDA |
| eda_report.data.frame | Reporting the information of EDA |
| eda_report.tbl_dbi | Reporting the information of EDA for table of the DBMS |
| find_class | Extract variable names or indices of a specific class |
| find_na | Finding variables including missing values |
| find_outliers | Finding variables including outliers |
| find_skewness | Finding skewed variables |
| get_class | Extracting a class of variables |
| get_column_info | Describe column of table in the DBMS |
| get_os | Finding Users Machine's OS |
| imputate_na | Impute Missing Values |
| imputate_outlier | Impute Outliers |
| kurtosis | Kurtosis of the data |
| normality | Performs the Shapiro-Wilk test of normality |
| normality.data.frame | Performs the Shapiro-Wilk test of normality |
| normality.tbl_dbi | Performs the Shapiro-Wilk test of normality |
| plot.bins | Visualize Distribution for a "bins" object |
| plot.compare_category | Visualize Information for an "compare_category" Object |
| plot.compare_numeric | Visualize Information for an "compare_numeric" Object |
| plot.imputation | Visualize Information for an "imputation" Object |
| plot.optimal_bins | Visualize Distribution for an "optimal_bins" Object |
| plot.relate | Visualize Information for an "relate" Object |
| plot.transform | Visualize Information for an "transform" Object |
| plot.univar_category | Visualize Information for an "univar_category" Object |
| plot.univar_numeric | Visualize Information for an "univar_numeric" Object |
| plot_correlate | Visualize correlation plot of numerical data |
| plot_correlate.data.frame | Visualize correlation plot of numerical data |
| plot_correlate.tbl_dbi | Visualize correlation plot of numerical data |
| plot_na_hclust | Combination chart for missing value |
| plot_na_intersect | Plot the combination variables that is include missing value |
| plot_na_pareto | Pareto chart for missing value |
| plot_normality | Plot distribution information of numerical data |
| plot_normality.data.frame | Plot distribution information of numerical data |
| plot_normality.tbl_dbi | Plot distribution information of numerical data |
| plot_outlier | Plot outlier information of numerical data diagnosis |
| plot_outlier.data.frame | Plot outlier information of numerical data diagnosis |
| plot_outlier.tbl_dbi | Plot outlier information of numerical data diagnosis in the DBMS |
| print.bins | Summarizing Binned Variable |
| print.compare_category | Summarizing compare_category information |
| print.compare_numeric | Summarizing compare_numeric information |
| print.relate | Summarizing relate information |
| print.univar_category | Summarizing univar_category information |
| print.univar_numeric | Summarizing univar_numeric information |
| relate | Relationship between target variable and variable of interest |
| skewness | Skewness of the data |
| summary.bins | Summarizing Binned Variable |
| summary.compare_category | Summarizing compare_category information |
| summary.compare_numeric | Summarizing compare_numeric information |
| summary.imputation | Summarizing imputation information |
| summary.transform | Summarizing transformation information |
| summary.univar_category | Summarizing univar_category information |
| summary.univar_numeric | Summarizing univar_numeric information |
| target_by | Target by one variables |
| target_by.data.frame | Target by one variables |
| target_by.tbl_dbi | Target by one column in the DBMS |
| transform | Data Transformations |
| transformation_report | Reporting the information of transformation |
| univar_category | Statistic of univariate categorical variables |
| univar_category.data.frame | Statistic of univariate categorical variables |
| univar_numeric | Statistic of univariate numerical variables |
| univar_numeric.data.frame | Statistic of univariate numerical variables |