diagnose_paged_report.data.frame: Reporting the information of data diagnosis

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Reporting the information of data diagnosis

Description

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

Usage

diagnose_paged_report(.data, ...)

## S3 method for class 'data.frame'
diagnose_paged_report(
  .data,
  output_format = c("pdf", "html"),
  output_file = NULL,
  output_dir = tempdir(),
  browse = TRUE,
  title = "Data Diagnosis Report",
  subtitle = deparse(substitute(.data)),
  author = "dlookr",
  abstract_title = "Report Overview",
  abstract = NULL,
  title_color = "white",
  subtitle_color = "gold",
  thres_uniq_cat = 0.5,
  thres_uniq_num = 5,
  flag_content_zero = TRUE,
  flag_content_minus = TRUE,
  flag_content_missing = TRUE,
  cover_img = NULL,
  create_date = Sys.time(),
  logo_img = NULL,
  theme = c("orange", "blue"),
  sample_percent = 100,
  is_tbl_dbi = FALSE,
  base_family = NULL,
  ...
)

Arguments

.data	a data.frame or a tbl_df.
...	arguments to be passed to pagedown::chrome_print().
output_format	report output type. Choose either "pdf" and "html". "pdf" create pdf file by rmarkdown::render() and pagedown::chrome_print(). so, you needed Chrome web browser on computer. "html" create html file by rmarkdown::render().
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".
abstract_title	character. abstract title of report. default is "Report Overview".
abstract	character. abstract of report.
title_color	character. color of title. default is "white".
subtitle_color	character. color of subtitle. default is "gold".
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.
flag_content_zero	logical. whether to output "Zero Values" information. the default value is TRUE, and the information is displayed.
flag_content_minus	logical. whether to output "Minus Values" information. the default value is TRUE, and the information is displayed.
flag_content_missing	logical. whether to output "Missing Value" information. the default value is TRUE, and the information is displayed.
cover_img	character. name of cover image.
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 right.
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% of sample data. This is useful for data with a large number of observations.
is_tbl_dbi	logical. whether .data is a tbl_dbi object.
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)

Details

Generate generalized data diagnostic reports automatically. You can choose to output to pdf and html files. This is useful for diagnosing a data frame with a large number of variables than data with a small number of variables.

Create an PDF through the Chrome DevTools Protocol. If you want to create PDF, Google Chrome or Microsoft Edge (or Chromium on Linux) must be installed prior to using this function. If not installed, you must use output_format = "html".

Value

No return value. This function only generates a report.

Reported information

Reported from the data diagnosis is as follows.

• Overview

  • Data Structures

  • Job Informations

  • Warnings

  • Variables

• Missing Values

  • List of Missing Values

  • Visualization

• Unique Values

  • Categorical Variables

  • Numerical Variables

• Categorical Variable Diagnosis

  • Top Ranks

• Numerical Variable Diagnosis

  • Distribution

    • Zero Values

    • Minus Values

  • Outliers

    • List of Outliers

    • Individual Outliers

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().

See Also

diagnose_paged_report.tbl_dbi.

Examples

if (FALSE) {
# 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_Paged_Report.pdf
diagnose_paged_report(heartfailure2)

# create pdf file. file name is Diagn.pdf. and change cover image
cover <- file.path(system.file(package = "dlookr"), "report", "cover2.jpg")
diagnose_paged_report(heartfailure2, cover_img = cover, title_color = "gray",
  output_file = "Diagn.pdf")

# create pdf file. file name is ./Diagn.pdf and not browse
cover <- file.path(system.file(package = "dlookr"), "report", "cover3.jpg")
diagnose_paged_report(heartfailure2, output_dir = ".", cover_img = cover, 
  flag_content_missing = FALSE, output_file = "Diagn.pdf", browse = FALSE)

# create pdf file. file name is Diagnosis_Paged_Report.html
diagnose_paged_report(heartfailure2, output_format = "html")
}

dlookr documentation built on May 29, 2024, 2 a.m.