R/report.R
transformation_web_report.Rd
The transformation_web_report() report the information of transform numerical variables for object inheriting from data.frame.
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, base_family = NULL, ... )
.data | a data.frame or a |
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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. |
base_family | character. The name of the base font family to use for the visualization. If not specified, the font defined in dlookr is applied. (See details) |
... | arguments to be passed to methods. |
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.
The transformation process will report the following information:
Overview
Data Structures
Data Types
Job Informations
Imputation
Missing Values
Outliers
Resolving Skewness
Binning
Optimal Binning
The base_family is selected from "Roboto Condensed", "Liberation Sans Narrow", "NanumSquare", "Noto Sans Korean". If you want to use a different font, use it after loading the Google font with import_google_font().
# \donttest{ if (FALSE) { # 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) } # }