Package: DataExplorer 0.8.3.9000

DataExplorer: Automate Data Exploration and Treatment

Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.

Authors:Boxuan Cui [aut, cre]

DataExplorer_0.8.3.9000.tar.gz
DataExplorer_0.8.3.9000.zip(r-4.5)DataExplorer_0.8.3.9000.zip(r-4.4)DataExplorer_0.8.3.9000.zip(r-4.3)
DataExplorer_0.8.3.9000.tgz(r-4.4-any)DataExplorer_0.8.3.9000.tgz(r-4.3-any)
DataExplorer_0.8.3.9000.tar.gz(r-4.5-noble)DataExplorer_0.8.3.9000.tar.gz(r-4.4-noble)
DataExplorer_0.8.3.9000.tgz(r-4.4-emscripten)DataExplorer_0.8.3.9000.tgz(r-4.3-emscripten)
DataExplorer.pdf |DataExplorer.html✨
DataExplorer/json (API)
NEWS

# Install 'DataExplorer' in R:

install.packages('DataExplorer', repos = c('https://boxuancui.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/boxuancui/dataexplorer/issues

Pkgdown site:https://boxuancui.github.io

On CRAN:

data-analysis data-exploration data-science eda visualization

10.98 score 518 stars 2.2k scripts 5.5k downloads 27 mentions 22 exports 60 dependencies

Last updated 1 years agofrom:b932420640. Checks:5 OK, 2 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 20 2025
R-4.5-win	NOTE	Jan 20 2025
R-4.5-linux	NOTE	Jan 20 2025
R-4.4-win	OK	Jan 20 2025
R-4.4-mac	OK	Jan 20 2025
R-4.3-win	OK	Jan 20 2025
R-4.3-mac	OK	Jan 20 2025

Exports:configure_report create_report drop_columns dummify group_category introduce plot_bar plot_boxplot plot_correlation plot_density plot_histogram plot_intro plot_missing plot_prcomp plot_qq plot_scatterplot plot_str plotDataExplorer profile_missing set_missing split_columns update_columns

Dependencies:base64enc bslib cachem cli colorspace cpp11 data.table digest evaluate fansi farver fastmap fontawesome fs ggplot2 glue gridExtra gtable highr htmltools htmlwidgets igraph isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell networkD3 nlme pillar pkgconfig plyr R6 rappdirs RColorBrewer Rcpp reshape2 rlang rmarkdown sass scales stringi stringr tibble tinytex utf8 vctrs viridisLite withr xfun yaml

Introduction to DataExplorer

Boxuan Cui

Rendered fromdataexplorer-intro.Rmdusingknitr::rmarkdownon Jan 20 2025.

Last update: 2020-11-21
Started: 2017-01-25

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Configure report template	configure_report
Create report	create_report
Drop selected variables	drop_columns
Dummify discrete features to binary columns	dummify
Group categories for discrete features	group_category
Describe basic information	introduce
Plot bar chart	plot_bar
Create boxplot for continuous features	plot_boxplot
Create correlation heatmap for discrete features	plot_correlation
Plot density estimates	plot_density
Plot histogram	plot_histogram
Plot introduction	plot_intro
Plot missing value profile	plot_missing
Visualize principal component analysis	plot_prcomp
Plot QQ plot	plot_qq
Create scatterplot for all features	plot_scatterplot
Visualize data structure	plot_str
Profile missing values	profile_missing
Set all missing values to indicated value	set_missing
Split data into discrete and continuous parts	split_columns
Update variable types or values	update_columns