Package: inspectdf 0.0.12

inspectdf: Inspection, Comparison and Visualisation of Data Frames

A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.

Authors:Alastair Rushworth [aut, cre], David Wilkins [ctb]

inspectdf_0.0.12.tar.gz
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inspectdf.pdf |inspectdf.html✨
inspectdf/json (API)
NEWS

# Install 'inspectdf' in R:

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

Bug tracker:https://github.com/alastairrushworth/inspectdf/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

tech - Tech stocks closing prices

On CRAN:

comparison dataframe eda exploratory-data-analysis visualization

7.62 score 250 stars 1 packages 340 scripts 1.6k downloads 8 exports 51 dependencies

Last updated 2 years agofrom:5c516e3ee2. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 29 2024
R-4.5-win-x86_64	OK	Oct 29 2024
R-4.5-linux-x86_64	OK	Oct 29 2024
R-4.4-win-x86_64	OK	Oct 29 2024
R-4.4-mac-x86_64	OK	Oct 29 2024
R-4.4-mac-aarch64	OK	Oct 29 2024
R-4.3-win-x86_64	OK	Oct 29 2024
R-4.3-mac-x86_64	OK	Oct 29 2024
R-4.3-mac-aarch64	OK	Oct 29 2024

Exports:inspect_cat inspect_cor inspect_imb inspect_mem inspect_na inspect_num inspect_types show_plot

Dependencies:cli colorspace commonmark cpp11 crayon curl dplyr fansi farver generics ggfittext ggplot2 glue gridtext gtable hms isoband jpeg labeling lattice lifecycle magrittr markdown MASS Matrix mgcv munsell nlme pillar pkgconfig png prettyunits progress purrr R6 RColorBrewer Rcpp rlang scales shades stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr xfun xml2

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Summary and comparison of the levels in categorical columns	inspect_cat
Tidy correlation coefficients for numeric dataframe columns	inspect_cor
Summary and comparison of the most common levels in categorical columns	inspect_imb
Summary and comparison of memory usage of dataframe columns	inspect_mem
Summary and comparison of the rate of missingness across dataframe columns	inspect_na
Summary and comparison of numeric columns	inspect_num
Summary and comparison of column types	inspect_types
Simple graphical inspection of dataframe summaries	show_plot
Tech stocks closing prices	tech