Projects

Scientific Software

Updated 6 months ago

visdat — Peer-reviewed • Rank 21.1 • Science 95%

visdat: Visualising Whole Data Frames - Published in JOSS (2017)

exploratory-data-analysis missingness peer-reviewed r r-package ropensci rstats visualisation

Scientific Software · Peer-reviewed

Updated 6 months ago

naniar • Rank 20.8 • Science 59%

Tidy data structures, summaries, and visualisations for missing data

data-visualisation ggplot2 missing-data missingness r-package tidy-data

Updated 6 months ago

mde • Rank 13.7 • Science 36%

mde: Missing Data Explorer

data-analysis data-cleaning data-exploration data-science datacleaner datacleaning exploratory-data-analysis missing missing-data missing-value-treatment missing-values missingness omit r r-package r-stats recode replace rstats statistics

Updated 6 months ago

pygrinder • Science 67%

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

block data-mining data-science imputation interpolation machine-learning mar mcar missing-data missing-mechanism missing-pattern missing-values missingness mnar pattern-recognition python sequence synthetic

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Open Source Science

visdat — Peer-reviewed • Rank 21.1 • Science 95%

naniar • Rank 20.8 • Science 59%

mde • Rank 13.7 • Science 36%

pygrinder • Science 67%