Data Explorer Package in R

Last Updated : 23 Jul, 2025

Data explorer is a part of modeling and it is a package in R programming. It is used for data analysis. This package, which might be what we are referring to, is designed to provide a convenient interface to explore and visualize data, especially for initial exploratory data analysis (EDA) tasks.

Installation of Data Explorer

Here we are taking the dataset: penguins, from the Palmer penguins package, and also loading the package for usage by typing the following commands:

Exploratory Data Analysis:

The introduce () function gives the basic information about our dataset i.e., penguins.

Output:

tibble [344 × 8] (S3: tbl_df/tbl/data.frame)
 $ species : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ island : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
 $ bill_length_mm : num [1:344] 39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
 $ bill_depth_mm : num [1:344] 18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
 $ flipper_length_mm: int [1:344] 181 186 195 NA 193 190 181 195 193 190 ...
 $ body_mass_g : int [1:344] 3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
 $ sex : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
 $ year : int [1:344] 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...

Output:

👁 Image

To visualize the data which is shown above introduce the () function.

Plot the Missing values:

Output:

👁 ing

Continuous value columns with Plot_Histogram()

Output:

👁 ing

Correlation Plots

Output:

👁 WhatsApp-Image-2023-07-13-at-111245-PM

Visualizes the heatmap, in this, we use the argument called type=" " .,

Data Report of Data Explorer

create_report() is used to create the report on a dataset. and this will generate a file on our computer.

From this, we get a report in HTML format that will show the complete information of the data.

Here,

data: the dataset which you want to work with
output_file: The name of the output file.
output_dir: location where the rendered
config: configuration of output
report_title: Title of the report.

Adding a ggplot2 Theme to the dataset

ggtheme() adds a ggplot2 theme, to the plot.

For example, we are taking the theme_minimal() theme.

As well title() adds title to the plot.

Output:

👁 New-Doc-2023-07-19-224016_1(2)

Extra Theme Configuration

theme_config() is used to customize the elements in the plot.

plot. title is used to add color to the plot.

Output:

👁 Image

First, install the Dataexplorer from CRAN:

Report:

To get the report of dataset: air quality we have to use create _ report.

From this, we get a report in HTML format that will show the complete information of the data.

Output:

 rows columns discrete_columns continuous_columns all_missing_columns
1 153 6 0 6 0
 total_missing_values complete_rows total_observations memory_usage
1 44 111 918 6376