dlookr (version 0.5.0)

transformation_web_report: Reporting the information of transformation with html

Description

The transformation_web_report() report the information of transform numerical variables for object inheriting from data.frame.

Usage

transformation_web_report(
  .data,
  target = NULL,
  output_file = NULL,
  output_dir = tempdir(),
  browse = TRUE,
  title = "Transformation",
  subtitle = deparse(substitute(.data)),
  author = "dlookr",
  title_color = "gray",
  logo_img = NULL,
  create_date = Sys.time(),
  theme = c("orange", "blue"),
  sample_percent = 100,
  ...
)

Arguments

.data

a data.frame or a tbl_df.

target

character. target variable.

output_file

name of generated file. default is NULL.

output_dir

name of directory to generate report file. default is tempdir().

browse

logical. choose whether to output the report results to the browser.

title

character. title of report. default is "EDA Report".

subtitle

character. subtitle of report. default is name of data.

author

character. author of report. default is "dlookr".

title_color

character. color of title. default is "gray".

logo_img

character. name of logo image file on top left.

create_date

Date or POSIXct, character. The date on which the report is generated. The default value is the result of Sys.time().

theme

character. name of theme for report. support "orange" and "blue". default is "orange".

sample_percent

numeric. Sample percent of data for performing EDA. It has a value between (0, 100]. 100 means all data, and 5 means 5% of sample data. This is useful for data with a large number of observations.

...

arguments to be passed to methods.

Reported information

The transformation process will report the following information:

• Overview

  • Data Structures

  • Data Types

  • Job Informations

• Imputation

  • Missing Values

  • Outliers

• Resolving Skewness

• Binning

• Optimal Binning

Details

Generate transformation reports automatically. This is useful for Binning a data frame with a large number of variables than data with a small number of variables.

Examples

# NOT RUN {
# create html file. file name is Transformation_Report.html
# transformation_web_report(heartfailure)

# file name is Transformation.html. and change logo image
# logo <- file.path(system.file(package = "dlookr"), "report", "R_logo_html.svg")
# transformation_web_report(heartfailure, logo_img = logo, title_color = "black",
#   output_file = "Transformation.html")

# file name is ./Transformation.html, "blue" theme and not browse
# transformation_web_report(heartfailure, output_dir = ".", target = "death_event", 
#   author = "Choonghyun Ryu", output_file = "Transformation.html", 
#   theme = "blue", browse = FALSE)
# }
# NOT RUN {
# }