This article describes how create easily an interactive web framework for exploring data in R using the datadigest package.
This tool provides a concise summary of every variable in a data frame and includes interactive features such as real-time filters, grouping, and highlighting.
This might be very helpful in exploring clinical trial data.
Required R packages and key functions
Load the datadigest package:
library(datadigest)Key R functions
#Summarize a single file
codebook(data = airquality)
# Explore multiple files
explorer(data = list(Cars = mtcars, Iris = iris), addEnv = FALSE)
# Run a shiny application
# Makes it possible to upload files
explorerApp()Explore interactively a data table
The main view available in the framework, include:
- CODEBOOK VIEW
- Shows a concise summary for each variable in the loaded data set.
- Users can click any variable to see additional details.
- Appropriate summary statistics, frequency tables and charts are provided.
- Histograms with box plots are drawn for continuous variables and bar charts for categorical variables. Variable level metadata is also shown beneath the chart if provided by the user.
- DATA LISTING VIEW
- Provides a simple tabular output so that the user can interact with the raw data.
- The listing is exportable, sortable and searchable.
- SETTINGS VIEW
- Lets users customize labels, hide variables and specify which columns should be used as interactive groups and filters.
- CHARTS VIEW
- Create simple bivariate data visualizations.
- The system automatically uses an appropriate visualization based on the types of the x and y variables selected.
Examples:
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Thanks for this!
Datadigest is a Great R pkg!.
The only thing that doesn’t work (for me),
is when you specify a “Group by” variable
in the top menu of Codebook.
It shows the message:
“…Stack exceeded…”.
It always works ok
if the “Group by” menu option
is set to: “None” (the default option).
So,
the menu option: “None” always works,
but choosing any other variable gives the error message.
Kassambara,
– can you please include a simple example
(say, with mtcars),
using the “Group by” option?.
*** THANKS!!! ***
It works for me! In the example, above, you can choose Group By Month, and it works.
Make sure you have the latest datadigest version.