Package: AutoEDA 0.0.1

AutoEDA: Automatic Exploratory Data Analysis

Automatically performs exploratory data analysis, including data summaries, missing value analysis, descriptive statistics, visualizations, correlation analysis, outlier detection, and report generation.

Authors:Vinodhkumar [aut, cre]

AutoEDA_0.0.1.tar.gz
AutoEDA_0.0.1.zip(r-4.7-any)AutoEDA_0.0.1.zip(r-4.6-any)AutoEDA_0.0.1.zip(r-4.5-any)
AutoEDA_0.0.1.tgz(r-4.6-any)AutoEDA_0.0.1.tgz(r-4.5-any)
AutoEDA_0.0.1.tar.gz(r-4.7-any)AutoEDA_0.0.1.tar.gz(r-4.6-any)
AutoEDA_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AutoEDA/json (API)

# Install 'AutoEDA' in R:
install.packages('AutoEDA', repos = c('https://vinodhpmd.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vinodhpmd/autoeda/issues

On CRAN:

Conda:

3.00 score 1 stars 6 scripts 515 downloads 41 exports 146 dependencies

Last updated from:f67e5a1cbf. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING155
source / vignettesOK211
linux-releaseWARNING145
macos-releaseWARNING97
macos-oldrelWARNING89
windows-develWARNING76
windows-releaseWARNING84
windows-oldrelWARNING88
wasm-releaseOK141

Exports:auto_edaauto_plotbar_plotbox_plotcategorical_plotcategorical_summarycluster_analysiscluster_dendrogramcluster_elbowcluster_plotcluster_silhouettecorrelation_analysiscorrelation_networkcorrelation_plotcorrelation_testcreate_reportdensity_plotexport_excelexport_numeric_summaryhistogram_plothtml_reportmissing_heatmapmissing_patternmissing_summarynumeric_summaryoutlier_detectionoutlier_summaryoutlier_valuespair_plotpca_analysispca_biplotpca_individual_plotpca_scree_plotpca_variable_plotpdf_reportplot_missingplot_outliersscatter_plotsummary_datatheme_autoedaword_report

Dependencies:abindbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclicliprclustercolorspacecorrplotcowplotcpp11crayoncrosstalkdendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapflashClustfontawesomeforcatsforecastFormulafracdifffsgenericsGGallyggplot2ggpubrggrepelggsciggsignifggstatsglueGPArotationgridExtragtablehighrhmshtmltoolshtmlwidgetsirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamnormtmodelrmultcompViewmvtnormnaniarNbClustnlmenloptrnnetnormnumDerivopenxlsxotelpatchworkpbkrtestpillarpkgconfigplyrpolynomprettyunitsprogresspromisespsychpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrmarkdownrstatixS7sassscalesscatterplot3dshowtextshowtextdbSparseMstringistringrsurvivalsysfontstibbletidyrtidyselecttimeDatetinytextzdbUpSetRurcautf8vctrsviridisviridisLitevisdatvroomwithrxfunyamlzipzoo

Readme and manuals

Help Manual

Help pageTopics
Automatic Exploratory Data Analysisauto_eda
Automatic Plotauto_plot
Bar Plotbar_plot
Box Plotbox_plot
Plot Categorical Variablecategorical_plot
Categorical Variable Summarycategorical_summary
Cluster Analysiscluster_analysis
Hierarchical Clusteringcluster_dendrogram
Elbow Methodcluster_elbow
Cluster Plotcluster_plot
Silhouette Plotcluster_silhouette
Correlation Analysiscorrelation_analysis
Correlation Networkcorrelation_network
Correlation Heatmapcorrelation_plot
Pairwise Correlation Testscorrelation_test
Create AutoEDA Reportcreate_report
Density Plotdensity_plot
Export Report to Excelexport_excel
Export Numeric Summaryexport_numeric_summary
Histogramhistogram_plot
HTML Reporthtml_report
Missing Value Heatmapmissing_heatmap
Missing Data Patternmissing_pattern
Missing Value Summarymissing_summary
Numeric Variable Summarynumeric_summary
Detect Outliersoutlier_detection
Outlier Summaryoutlier_summary
Pair Plotpair_plot
Principal Component Analysispca_analysis
PCA Biplotpca_biplot
PCA Individual Plotpca_individual_plot
Scree Plotpca_scree_plot
PCA Variable Plotpca_variable_plot
Plot Missing Valuesplot_missing
Plot Outliersplot_outliers
Scatter Plotscatter_plot
Dataset Summarysummary_data
AutoEDA Themetheme_autoeda