The eda_paged_report() paged report the information for EDA.

eda_paged_report(.data, ...)

# S3 method for data.frame
  target = NULL,
  output_format = c("pdf", "html"),
  output_file = NULL,
  output_dir = tempdir(),
  browse = TRUE,
  title = "EDA Report",
  subtitle = deparse(substitute(.data)),
  author = "dlookr",
  abstract_title = "Report Overview",
  abstract = NULL,
  title_color = "black",
  subtitle_color = "blue",
  cover_img = NULL,
  create_date = Sys.time(),
  logo_img = NULL,
  theme = c("orange", "blue"),
  sample_percent = 100,
  is_tbl_dbi = FALSE,
  base_family = NULL,



a data.frame or a tbl_df.


arguments to be passed to pagedown::chrome_print().


character. target variable.


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().


name of generated file. default is NULL.


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


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


character. title of report. default is "Data Diagnosis Report".


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


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


character. abstract title of report. default is "Report Overview".


character. abstract of report.


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


character. color of subtitle. default is "blue".


character. name of cover image.


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


character. name of logo image file on top right.


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


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.


logical. whether .data is a tbl_dbi object.


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)


Generate generalized EDA report automatically. You can choose to output to pdf and html files. This feature is useful for EDA of data with many variables, rather than data with fewer 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".

Reported information

The EDA process will report the following information:

  • Overview

    • Data Structures

    • Job Informations

  • Univariate Analysis

    • Descriptive Statistics

      • Numerical Variables

      • Categorical Variables

    • Normality Test

  • Bivariate Analysis

    • Compare Numerical Variables

    • Compare Categorical Variables

  • Multivariate Analysis

    • Correlation Analysis

      • Correlation Coefficient Matrix

      • Correlation Plot

  • Target based Analysis

    • Grouped Numerical Variables

    • Grouped Categorical Variables

    • Grouped Correlation

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 the dataset
heartfailure2 <- dlookr::heartfailure
heartfailure2[sample(seq(NROW(heartfailure2)), 20), "sodium"] <- NA
heartfailure2[sample(seq(NROW(heartfailure2)), 5), "smoking"] <- NA

# create pdf file. file name is EDA_Paged_Report.pdf
eda_paged_report(heartfailure2, sample_percent = 80)

# create pdf file. file name is EDA.pdf. and change cover image
cover <- file.path(system.file(package = "dlookr"), "report", "cover1.jpg")
eda_paged_report(heartfailure2, cover_img = cover, title_color = "gray",
  output_file = "EDA.pdf")

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

# create pdf file. file name is EDA_Paged_Report.html
eda_paged_report(heartfailure2, target = "death_event", output_format = "html")
# }