Package: cleandata 0.3.0
cleandata: To Inspect and Manipulate Data; and to Keep Track of This Process
Functions to work with data frames to prepare data for further analysis. The functions for imputation, encoding, partitioning, and other manipulation can produce log files to keep track of process.
Authors:
cleandata_0.3.0.tar.gz
cleandata_0.3.0.zip(r-4.7)cleandata_0.3.0.zip(r-4.6)cleandata_0.3.0.zip(r-4.5)
cleandata_0.3.0.tgz(r-4.6-any)cleandata_0.3.0.tgz(r-4.5-any)
cleandata_0.3.0.tar.gz(r-4.7-any)cleandata_0.3.0.tar.gz(r-4.6-any)
cleandata_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cleandata/json (API)
NEWS
| # Install 'cleandata' in R: |
| install.packages('cleandata', repos = c('https://sherrisherry.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sherrisherry/cleandata/issues
data-analysisdata-miningmachine-learningwrangling
Last updated from:191ecc80a6. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 99 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | WARNING | 95 | ||
| macos-release-arm64 | WARNING | 128 | ||
| macos-oldrel-arm64 | WARNING | 173 | ||
| windows-devel | WARNING | 84 | ||
| windows-release | WARNING | 54 | ||
| windows-oldrel | WARNING | 55 | ||
| wasm-release | OK | 95 |
Exports:encode_binaryencode_onehotencode_ordinalimpute_meanimpute_medianimpute_modeinspect_mapinspect_nainspect_smappartition_randomwh_dict
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| List of Encoders | encode |
| Encode Binary Data Into 0 and 1 | encode_binary |
| One-Hot Encoding | encode_onehot |
| Encode Ordinal Data Into Integers | encode_ordinal |
| Impute Missing Values | impute impute_mean impute_median impute_mode |
| Classify The Columns of A Data Frame | inspect_map |
| Find Out Which Columns Have Most NAs | inspect_na |
| Simply Classify The Columns of A Data Frame | inspect_smap |
| Partitioning A Dataset Randomly | partition_random |
| Create Data Dictionary from Data Warehouse | wh_dict |
