diagnose_web_report.data.frame: Reporting the information of data diagnosis with html

In bit2r/kodlookr: Korean Help Resources for the dlookr Package

Description

The diagnose_web_report() report the information for diagnosing the quality of the data.

Usage

diagnose_web_report(.data, ...)

## S3 method for class 'data.frame'
diagnose_web_report(
  .data,
  output_file = NULL,
  output_dir = tempdir(),
  browse = TRUE,
  title = "Data Diagnosis",
  subtitle = deparse(substitute(.data)),
  author = "dlookr",
  title_color = "gray",
  thres_uniq_cat = 0.5,
  thres_uniq_num = 5,
  logo_img = NULL,
  create_date = Sys.time(),
  theme = c("orange", "blue"),
  sample_percent = 100,
  is_tbl_dbi = FALSE,
  ...
)

Arguments

.data	a data.frame or a tbl_df.
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 "Data Diagnosis 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".
thres_uniq_cat	numeric. threshold to use for "Unique Values - Categorical Variables". default is 0.5.
thres_uniq_num	numeric. threshold to use for "Unique Values - Numerical Variables". default is 5.
create_date	Date or POSIXct, character. The date on which the report is generated. The default value is the result of Sys.time().
logo_img	character. name of logo image file on top left.
theme	character. name of theme for report. support "orange" and "blue". default is "orange".
sample_percent	numeric. Sample percent of data for performing Diagnosis. It has a value between (0, 100]. 100 means all data, and 5 means 5\ This is useful for data with a large number of observations.
is_tbl_dbi	logical. whether .data is a tbl_dbi object.
...	arguments to be passed to methods.

Details

Generate generalized data diagnostic reports automatically. This is useful for diagnosing a data frame with a large number of variables than data with a small number of variables.

Reported information

Reported from the data diagnosis is as follows.

• Overview

  • Data Structures

    • Data Structures

    • Data Types

    • Job Informations

  • Warnings

  • Variables

• Missing Values

  • List of Missing Values

  • Visualization

• Unique Values

  • Categorical Variables

  • Numerical Variables

• Outliers

• Samples

  • Duplicated

  • Heads

  • Tails

See Also

diagnose_web_report.tbl_dbi.

Examples

## Not run: 
# create dataset
heartfailure2 <- dlookr::heartfailure
heartfailure2[sample(seq(NROW(heartfailure2)), 20), "sodium"] <- NA
heartfailure2[sample(seq(NROW(heartfailure2)), 5), "smoking"] <- NA
heartfailure2[sample(seq(NROW(heartfailure2)), 2), "time"] <- 0
heartfailure2[sample(seq(NROW(heartfailure2)), 1), "creatinine"] <- -0.3
 
# create pdf file. file name is Diagnosis_Report.html
diagnose_web_report(heartfailure2)

# file name is Diagn.html. and change logo image
logo <- file.path(system.file(package = "dlookr"), "report", "R_logo_html.svg")
diagnose_web_report(heartfailure2, logo_img = logo, title_color = "black",
  output_file = "Diagn.html")

# file name is ./Diagn_heartfailure.html, "blue" theme and not browse
diagnose_web_report(heartfailure2, output_dir = ".", author = "Choonghyun Ryu",
  output_file = "Diagn_heartfailure.html", theme = "blue", browse = FALSE)

## End(Not run)

bit2r/kodlookr documentation built on Dec. 19, 2021, 9:49 a.m.