dlookr 0.3.13
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* binning() fixed error an issue where some bining errors could occur at values close to breaks for large numbers.

* binning() appended approxy.lab argument that choice large number breaks are approximated to pretty numbers.  


dlookr 0.3.12
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* diagnose_report() Adjusted the pdf margins to increase the number of columns represented in the table. In the latex, duplicate table labels were removed.

* eda_report() Adjusted the pdf margins to increase the number of columns represented in the table. In the latex, duplicate table labels were removed.

* transformation_report() Adjusted the pdf margins to increase the number of columns represented in the table. In the latex, duplicate table labels were removed.

* imputate_na() fixed error when method is 'rpart' or 'knn' .  

* imputate_na() appended no_attrs argument that choice the return value. return object of imputation class or numerical/categorical variable.  

* imputate_outlier() appended no_attrs argument that choice the return value. return object of imputation class or numerical vector.  


dlookr 0.3.11
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* plot_outlier() fixed error run against a dataset with a numeric column where all values are NA(@rhinomlbox, #8).

* describe() fixed error run against a dataset with a numeric column where number of complate values are 0 to 3.

* describe.grouped_df() fixed error run against a dataset with a numeric column where number of complate values are 0 to 3.

* transformation_report() fixed the problem of trying to output Korean language report in English operating system environment.

* transformation_report() fixed the LaTeX error like "Illegal unit of measure (pt inserted)" in Binning section. 

* transformation_report() fixed the error imputate_na() function call. 

* binning() fixed error like "'breaks' are not unique".

* binning() fixed error of binning with a column where all values are NA. 

* imputate_na() fixed the problem of imputation using 'rpart' method with a column where all values are NA.  

* imputate_na() fixed the problem of imputation using 'mode' method with a column where all values are NA. 

* imputate_na() fixed the problem of imputation using 'mice' method with a column where all values are NA. 

* imputate_na() fixed the problem of imputation using 'knn' method when the complete case is small.  

* summary.imputation() fixed the problem of imputation object isn't compleate.


dlookr 0.3.10
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* imputate_na() fixed error to imputation using 'method' argument value is "mice".


dlookr 0.3.9
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* find_class() handled 'labelled' vectors as categorical variables.

* binning() fixed error to converts a numeric variable to a categorization variable. (@Green-16, #4).

* binning_by() fixed error to converts a numeric variable to a categorization variable. (@Green-16, #4).

* imputate_na() modified to set the random number generation version to 3.5.0 in the 'mice' method.

* Set the random number generation version to 3.5.0 before calling set.seed() in the code of vignette of "EDA".

* Set the random number generation version to 3.5.0 before calling set.seed() in the code of vignette of "Data Transformation".


dlookr 0.3.8
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* summary.imputation() modified features to correspond to dplyr 0.8.0 or later.

* describe.grouped_df() modified features to correspond to dplyr 0.8.0 or later.

* normality.grouped_df() modified features to correspond to dplyr 0.8.0 or later.

* plot_normality.grouped_df() modified features to correspond to dplyr 0.8.0 or later.

* correlate.grouped_df() modified features to correspond to dplyr 0.8.0 or later.

* plot_correlate.grouped_df() modified features to correspond to dplyr 0.8.0 or later.

* relate.target_df() modified features to correspond to dplyr 0.8.0 or later.

* plot.relate() modified features to correspond to dplyr 0.8.0 or later.

* plot_correlate.grouped_df() fixed error in the main title of the plot output the factor value as an integer.


dlookr 0.3.7
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* diagnose_report() fixed errors when number of numeric variables is zero.

* eda_report() fixed errors that are outputting abnormalities in pdf documents when the target variable name contains "_".

* eda_report() Handle exceptions when there are fewer than two numeric variables when outputting a reflation plot.


dlookr 0.3.6
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* diagnose_report() was converted to Korean version of Hangul Report in Korean O/S.

* diagnose_report() was added an argument to choose whether to present the report results to the browser.

* diagnose_report() limited the maximum number of cases per "Categorical variable level top 10" to 50 cases.

* eda_report() was converted to Korean version of Hangul Report in Korean O/S.

* eda_report() was added an argument to choose whether to present the report results to the browser.

* transformation_report() was converted to Korean version of Hangul Report in Korean O/S.

* transformation_report() was added an argument to choose whether to present the report results to the browser.


dlookr 0.3.5
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* diagnose_category() fixed subscript error in data where all variables are numeric variables

* diagnose_numeric() fixed subscript error in data where all variables are categorical variables

* diagnose_outlier() fixed subscript error in data where all variables are categorical variables

* plot_outlier() change message in data where all variables are categorical variables

* diagnose_report() modify the table column name in pdf report and lower the number of decimal places

* eda_report() fixed errors in pdf report when variable name contains "_"


dlookr 0.3.4
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* find_outliers() fixed errors in index or name extraction of variables containing outliers

* find_skewness() fixed errors in index or name extraction of variables with skewness exceeds the threshold

* eda_report() fixed in table caption of EDA report. and added ability to set font family of pdf report figure

* transformation_report() fixed in table caption of Transformation report. and added ability to set font family of pdf report figure 

* diagnose_report() Added ability to set font family of pdf report figure 


dlookr 0.3.3
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* diagnose_report() supports Korean language(hangul) with pdf output. (@cardiomoon)

* eda_report() supports Korean language(hangul) with pdf output. (@cardiomoon)

* transformation_report() supports Korean language(hangul) with pdf output. (@cardiomoon)

* eda_report() fixed in table/figure caption of EDA report 


dlookr 0.3.2
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* plot.relate() supports hexabin plotting when this target variable is numeric and the predictor is also a numeric type.

* Add a new function get_column_info() to show the table information of the DBMS.

* diagnose() supports diagnosing columns of table in the DBMS.

* diagnose_category() supports diagnosing character columns of table in the DBMS.

* diagnose_numeric() supports diagnosing numeric columns of table in the DBMS.

* diagnose_outlier() supports diagnosing outlier of numeric columns of table in the DBMS.

* plot_outlier() supports diagnosing outlier of numeric columns of table in the DBMS.

* normality() supports test of normality for numeric columns of table in the DBMS.

* plot_normality() supports test of normality for numeric columns of table in the DBMS.

* correlate() supports Computing the correlation coefficient of numeric columns of table in the DBMS.

* plot_correlate() supports computing the correlation coefficient of numeric columns of table in the DBMS.

* describe() supports computing descriptive statistic of numeric columns of table in the DBMS.

* target_by() supports columns of table in the DBMS.

* Fixed in 4.1.1 of EDA report without target variable.


dlookr 0.3.1
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* Fixed typographical errors in EDA Report headings (@hangtime79, #2).

* The `plot_outlier()` supports a col argument that a color to be used to fill the bars. (@hangtime79, #3).

* Remove the name of the numeric vector to return when index = TRUE in `find_na ()`, `find_outliers()`, `find_skewness()`.