DOI: 10.6084/m9.figshare.30350887.v1
title: ggEDA

description: <b>iris.csv</b>The version of the iris dataset used in the ggEDA manuscript.Accessible from base R (`datasets::iris`)If you use, please cite[First Published by]: Fisher, R. A. (1936) The use of multiple measurements in taxonomic problems. <i>Annals of Eugenics</i>, <b>7</b>, Part II, 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x.[Collected by] Anderson, Edgar (1935). The irises of the Gaspe Peninsula, <i>Bulletin of the American Iris Society</i>, <b>59</b>, 2–5.[Version in R was originally package with the S programming language] Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) <i>The New S Language</i>. Wadsworth & Brooks/Cole.License: CC0<b>titanic.raw.csv</b>Version of the titanic dataset used in ggEDA manuscript.Can be loaded from the datarium R package (`datarium::titanic.raw`). Originally published by the British Board of Trade in 1990.If you use, please cite:British Board of Trade. Report on the Loss of the ’Titanic’ (S.S.). Allan Sutton Publishing, Gloucester, UK, 1990. British Board of Trade Inquiry Report (reprint).Alboukadel Kassambara. datarium: Data Bank for Statistical Analysis and Visualization, 2019. URL https://CRAN.R-project.org/package=datarium. R package version 0.1.0.License: CC0lazy_birdwatcher.csv<b>[NOTE]:</b><b> </b>This is a <b>simulated dataset</b> created for demonstration and teaching purposes. It does <b>not contain any real or identifiable information</b>.A <b>simulated dataset</b> which describes magpie observations by two birdwatchers, one of whom routinely skips birdwatching on weekends. This introduces a missing data pattern dependent on both the birdwatcher and day of the week.The dataset has been used to evaluate whether exploratory data analysis tools can successfully identify the features driving missingness.<br>Contains 45 rows and 3 columns:<b>Magpies</b>: Number of magpies observed<b>Day:</b><b> </b>Was the observation on a weekday or a weekend?<b>Birdwatcher:</b><b> </b>Name of the birdwatcherLicense: CC0penguins.csvThe version of the Palmer Penguins dataset used in the ggEDA manuscript.Also accessible via the palmerpenguins R package.If you use please cite:Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer Archipelago (Antarctica) penguin data. R package version 0.1.0. https://allisonhorst.github.io/palmerpenguins/. doi:10.5281/zenodo.3960218.Gorman KB, Williams TD, Fraser WR (2014) Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis). PLoS ONE 9(3): e90081. doi:10.1371/journal.pone.0090081License: CC0dry_beans.csvThe Koklu & Ozkan (2020) dry beans dataset produced by imaging a total of 13,611 grains from 7 varieties of dry beans. The original dataset (dry_beans.csv) contains 13,611 observations, but here we also include a random subsample of 1000 (minibeans.csv). See https://doi.org/10.24432/C50S4B for original complete dataset.The minibeans dataset is also available from the ggEDA R package (`ggEDA::minibeans`).If you use please cite the original publication:Koklu, M, and IA Ozkan. 2020. Multiclass Classification of Dry Beans Using Computer Vision and Machine Learning Techniques. Computers and Electronics in Agriculture, 174: 105507. doi: 10.1016/j.compag.2020.105507, https://doi.org/10.24432/C50S4BAnd also the UCI Machine Learning Repository where the dataset:Dry Bean [Dataset]. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C50S4BLicense: CC BY 4.0