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 |