Package: dataframeexplorer 1.0.2
Ashrith Reddy
dataframeexplorer: Familiarity with Dataframes Before Data Manipulation
Real life data is muddy, fuzzy and unpredictable. This makes data manipulations tedious and bringing the data to right shape alone is a major chunk of work. Functions in this package help us get an understanding of dataframes to dramatically reduces data coding time.
Authors:
dataframeexplorer_1.0.2.tar.gz
dataframeexplorer_1.0.2.zip(r-4.7)dataframeexplorer_1.0.2.zip(r-4.6)dataframeexplorer_1.0.2.zip(r-4.5)
dataframeexplorer_1.0.2.tgz(r-4.6-any)dataframeexplorer_1.0.2.tgz(r-4.5-any)
dataframeexplorer_1.0.2.tar.gz(r-4.7-any)dataframeexplorer_1.0.2.tar.gz(r-4.6-any)
dataframeexplorer_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dataframeexplorer/json (API)
| # Install 'dataframeexplorer' in R: |
| install.packages('dataframeexplorer', repos = c('https://ashrithssreddy.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:59a66c61dc. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 249 | ||
| linux-release-x86_64 | OK | 123 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-oldrel-arm64 | OK | 181 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 64 | ||
| wasm-release | OK | 108 |
Exports:detect_const_colsdetect_dupl_colsfrequency_tableglimpse_to_filelevel_of_datapercentiles_table
Dependencies:clicpp11data.tabledplyrgenericsgluelifecyclemagrittropenxlsxpillarpkgconfigplyrpurrrR6Rcpprlangstringistringrtibbletidyrtidyselectutf8vctrswithrzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Detect if any column of a data.frame has constant values. | detect_const_cols |
| Detect if any column of a data.frame is a duplicate of another | detect_dupl_cols |
| Generate frequency of each entry in each column of dataframe | frequency_table |
| Generate glimpse of dataset | glimpse_to_file |
| Determine the level / primary key of dataset | level_of_data |
| Generate percentiles for entire dataframe | percentiles_table |