Data | Exploratory Data Analysis | Missing values | Distributions | Bar Charts | Histograms & Density Estimates | QQ Plot | Correlation Analysis | Principal Component Analysis | Slicing & Dicing | Boxplots | Scatterplots | Interactive Plots | Known limitations | Feature Engineering | Replace missing values | Group sparse categories | Dummify data (one hot encoding) | Drop features | Update features | Data Reporting
Package: DataExplorer 0.9.0
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:
DataExplorer_0.9.0.tar.gz
DataExplorer_0.9.0.zip(r-4.7)DataExplorer_0.9.0.zip(r-4.6)DataExplorer_0.9.0.zip(r-4.5)
DataExplorer_0.9.0.tgz(r-4.6-any)DataExplorer_0.9.0.tgz(r-4.5-any)
DataExplorer_0.9.0.tar.gz(r-4.7-any)DataExplorer_0.9.0.tar.gz(r-4.6-any)
DataExplorer_0.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DataExplorer/json (API)
| # 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/docs site:https://boxuancui.github.io
data-analysisdata-explorationdata-scienceedavisualization
Last updated from:4ba833bcaa. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 185 | ||
| source / vignettes | OK | 311 | ||
| linux-release-x86_64 | OK | 268 | ||
| macos-release-arm64 | OK | 230 | ||
| macos-oldrel-arm64 | OK | 208 | ||
| windows-devel | OK | 188 | ||
| windows-release | OK | 156 | ||
| windows-oldrel | OK | 149 | ||
| wasm-release | OK | 157 |
Exports:configure_reportcreate_reportdrop_columnsdummifygroup_categoryintroduceplot_barplot_boxplotplot_correlationplot_densityplot_histogramplot_introplot_missingplot_prcompplot_qqplot_scatterplotplot_strplotDataExplorerprofile_missingset_missingsplit_columnsupdate_columns
Dependencies:base64encbslibcachemclicpp11data.tabledata.treedigestevaluatefarverfastmapfontawesomefsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimenetworkD3pkgconfigplyrR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml
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 |
