# Tools for Data Diagnosis, Exploration, Transformation

## Documentation for package ‘dlookr’ version 0.6.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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

## -- B --

binning | Binning the Numeric Data
binning_by | Optimal Binning for Scoring Modeling
binning_rgr | Binning by recursive information gain ratio maximization

## -- C --

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

## -- D --

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.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_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 Loads additional style and template file

## -- E --

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"

## -- F --

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

## -- G --

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

## -- H --

heartfailure | Heart Failure Data

## -- I --

import_google_font | Import Google Fonts
imputate_na | Impute Missing Values
imputate_outlier | Impute Outliers

## -- J --

jobchange | Job Change of Data Scientists
jsd | Jensen-Shannon Divergence

## -- K --

kld | Kullback-Leibler Divergence
kurtosis | Kurtosis of the data

## -- N --

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

## -- O --

overview | Describe overview of data

## -- P --

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.univar_category | Summarizing univar_category information
print.univar_numeric | Summarizing univar_numeric information

## -- R --

relate | Relationship between target variable and variable of interest
relate.target_df | Relationship between target variable and variable of interest

## -- S --

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

## -- T --

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

## -- U --

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