B C D E F G H I J K N O P R S T U
dlookr-package | dlookr: Tools for Data Diagnosis, Exploration, Transformation |
binning | Binning the Numeric Data |
binning_by | Optimal Binning for Scoring Modeling |
binning_rgr | Binning by recursive information gain ratio maximization |
Carseats | Sales of Child Car Seats |
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 variable |
correlate.data.frame | Compute the correlation coefficient between two variable |
correlate.grouped_df | Compute the correlation coefficient between two variable |
correlate.tbl_dbi | Compute the correlation coefficient between two variable |
cramer | Cramer's V statistic |
describe | Compute descriptive statistic |
describe.data.frame | Compute descriptive statistic |
describe.grouped_df | Compute descriptive statistic |
describe.tbl_dbi | Compute descriptive statistic |
diagnose | Diagnose data quality of variables |
diagnose.data.frame | Diagnose data quality of variables |
diagnose.grouped_df | 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.grouped_df | 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.grouped_df | 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.grouped_df | Diagnose outlier of numerical variables |
diagnose_outlier.tbl_dbi | Diagnose outlier of numerical variables in the DBMS |
diagnose_paged_report | Reporting the information of data diagnosis |
diagnose_paged_report.data.frame | Reporting the information of data diagnosis |
diagnose_paged_report.tbl_dbi | Reporting the information of data diagnosis for table of 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 |
diagnose_sparese | Diagnosis of level combinations of categorical variables |
diagnose_sparese.data.frame | Diagnosis of level combinations of categorical variables |
diagnose_web_report | Reporting the information of data diagnosis with html |
diagnose_web_report.data.frame | Reporting the information of data diagnosis with html |
diagnose_web_report.tbl_dbi | Reporting the information of data diagnosis for table of the DBMS with html |
dlookr | dlookr: Tools for Data Diagnosis, Exploration, Transformation |
dlookr_blue_paged | Generate paged HTML document |
dlookr_orange_paged | Generate paged HTML document |
dlookr_templ_html | dlookr HTML template |
eda_paged_report | Reporting the information of EDA |
eda_paged_report.data.frame | Reporting the information of EDA |
eda_paged_report.tbl_dbi | Reporting the information of EDA for table of the DBMS |
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 |
eda_web_report | Reporting the information of EDA with html |
eda_web_report.data.frame | Reporting the information of EDA with html |
eda_web_report.tbl_dbi | Reporting the information of EDA for table of the DBMS with html |
entropy | Calculate the entropy |
extract | Extract bins from "bins" |
extract.bins | Extract bins from "bins" |
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 |
flights | Flights data |
get_class | Extracting a class of variables |
get_column_info | Describe column of table in the DBMS |
get_os | Finding Users Machine's OS |
get_percentile | Finding percentile |
get_transform | Transform a numeric vector |
heartfailure | Heart Failure Data |
import_google_font | Import Google Fonts |
imputate_na | Impute Missing Values |
imputate_outlier | Impute Outliers |
jobchange | Job Change of Data Scientists |
jsd | Jensen-Shannon Divergence |
kld | Kullback-Leibler Divergence |
kurtosis | Kurtosis of the data |
normality | Performs the Shapiro-Wilk test of normality |
normality.data.frame | Performs the Shapiro-Wilk test of normality |
normality.grouped_df | Performs the Shapiro-Wilk test of normality |
normality.tbl_dbi | Performs the Shapiro-Wilk test of normality |
overview | Describe overview of data |
performance_bin | Diagnose Performance Binned Variable |
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.correlate | Visualize Information for an "correlate" Object |
plot.imputation | Visualize Information for an "imputation" Object |
plot.infogain_bins | Visualize Distribution for an "infogain_bins" Object |
plot.optimal_bins | Visualize Distribution for an "optimal_bins" Object |
plot.overview | Visualize Information for an "overview" Object |
plot.performance_bin | Visualize Performance for an "performance_bin" Object |
plot.pps | Visualize Information for an "pps" 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_bar_category | Plot bar chart of categorical variables |
plot_bar_category.data.frame | Plot bar chart of categorical variables |
plot_bar_category.grouped_df | Plot bar chart of categorical variables |
plot_box_numeric | Plot Box-Plot of numerical variables |
plot_box_numeric.data.frame | Plot Box-Plot of numerical variables |
plot_box_numeric.grouped_df | Plot Box-Plot of numerical variables |
plot_hist_numeric | Plot histogram of numerical variables |
plot_hist_numeric.data.frame | Plot histogram of numerical variables |
plot_hist_numeric.grouped_df | Plot histogram of numerical variables |
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.grouped_df | 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.target_df | Plot outlier information of target_df |
plot_outlier.tbl_dbi | Plot outlier information of numerical data diagnosis in the DBMS |
plot_qq_numeric | Plot Q-Q plot of numerical variables |
plot_qq_numeric.data.frame | Plot Q-Q plot of numerical variables |
plot_qq_numeric.grouped_df | Plot Q-Q plot of numerical variables |
pps | Compute Predictive Power Score |
pps.data.frame | Compute Predictive Power Score |
pps.target_df | Compute Predictive Power Score |
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.transform | Summarizing transformation information |
print.univar_category | Summarizing univar_category information |
print.univar_numeric | Summarizing univar_numeric information |
relate | Relationship between target variable and variable of interest |
relate.target_df | 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.correlate | Summarizing Correlation Coefficient |
summary.imputation | Summarizing imputation information |
summary.optimal_bins | Summarizing Performance for Optimal Bins |
summary.overview | Summarizing overview information |
summary.performance_bin | Summarizing Performance for Binned Variable |
summary.pps | Summarizing Predictive Power Score |
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 |
theil | Theil's U statistic |
transform | Data Transformations |
transformation_paged_report | Reporting the information of transformation |
transformation_report | Reporting the information of transformation |
transformation_web_report | Reporting the information of transformation with html |
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 |