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ropensci/visdat: visdat 0.6.0 (2023/02/01) "Superman, Lazlo Bane"

Nicholas Tierney; cregouby; Maëlle Salmon; Nic Crane; Sean Hughes; Mara Averick; tierneyn; Noam Ross; Anthony Raborn; Carson Sievert; Jeroen Ooms; Jim Hester; Matthias Grenié; Romain François; John Muschelli


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  <identifier identifierType="DOI">10.5281/zenodo.7597257</identifier>
  <creators>
    <creator>
      <creatorName>Nicholas Tierney</creatorName>
      <affiliation>Telethon Kids Institute</affiliation>
    </creator>
    <creator>
      <creatorName>cregouby</creatorName>
    </creator>
    <creator>
      <creatorName>Maëlle Salmon</creatorName>
      <affiliation>@ropensci</affiliation>
    </creator>
    <creator>
      <creatorName>Nic Crane</creatorName>
    </creator>
    <creator>
      <creatorName>Sean Hughes</creatorName>
    </creator>
    <creator>
      <creatorName>Mara Averick</creatorName>
      <affiliation>@tidyverse</affiliation>
    </creator>
    <creator>
      <creatorName>tierneyn</creatorName>
    </creator>
    <creator>
      <creatorName>Noam Ross</creatorName>
      <affiliation>EcoHealth Alliance</affiliation>
    </creator>
    <creator>
      <creatorName>Anthony Raborn</creatorName>
      <affiliation>National Association of Boards of Pharmacy</affiliation>
    </creator>
    <creator>
      <creatorName>Carson Sievert</creatorName>
      <affiliation>@rstudio</affiliation>
    </creator>
    <creator>
      <creatorName>Jeroen Ooms</creatorName>
      <affiliation>Berkeley Institute for Data Science</affiliation>
    </creator>
    <creator>
      <creatorName>Jim Hester</creatorName>
      <affiliation>@netflix</affiliation>
    </creator>
    <creator>
      <creatorName>Matthias Grenié</creatorName>
      <affiliation>iDiv (German Center for Integrative Biodiversity Research)</affiliation>
    </creator>
    <creator>
      <creatorName>Romain François</creatorName>
      <affiliation>@tidyverse team at Posit</affiliation>
    </creator>
    <creator>
      <creatorName>John Muschelli</creatorName>
      <affiliation>Johns Hopkins Bloomberg School of Public Health</affiliation>
    </creator>
  </creators>
  <titles>
    <title>ropensci/visdat: visdat 0.6.0 (2023/02/01) "Superman, Lazlo Bane"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2023</publicationYear>
  <dates>
    <date dateType="Issued">2023-02-02</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7597257</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/ropensci/visdat/tree/v0.6.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.837273</relatedIdentifier>
  </relatedIdentifiers>
  <version>v0.6.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">visdat 0.6.0 (2023/02/01) "Superman, Lazlo Bane"
New Feature
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;vis_value()&lt;/code&gt; for visualising all values in a dataset. It rescales values to be between 0 and 1. See #100&lt;/li&gt;
&lt;li&gt;&lt;code&gt;vis_binary()&lt;/code&gt; for visualising datasets with binary values - similar to &lt;code&gt;vis_value()&lt;/code&gt;, but just for binary data (0, 1, NA). See #125. Thank you to Trish Gilholm for her suggested use case for this.&lt;/li&gt;
&lt;li&gt;Implemented facetting in &lt;code&gt;vis_dat()&lt;/code&gt; and &lt;code&gt;vis_cor()&lt;/code&gt;, and &lt;code&gt;vis_miss()&lt;/code&gt; see (#78). The next release will implement facetting for &lt;code&gt;vis_value()&lt;/code&gt;, &lt;code&gt;vis_binary()&lt;/code&gt;, &lt;code&gt;vis_compare()&lt;/code&gt;, &lt;code&gt;vis_expect()&lt;/code&gt;, and &lt;code&gt;vis_guess()&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Implemented data methods for plots with &lt;code&gt;data_vis_dat()&lt;/code&gt;, &lt;code&gt;data_vis_cor()&lt;/code&gt;, and &lt;code&gt;data_vis_miss()&lt;/code&gt; see (#78).&lt;/li&gt;
&lt;li&gt;&lt;code&gt;vis_dat()&lt;/code&gt; &lt;code&gt;vis_miss()&lt;/code&gt; and &lt;code&gt;vis_guess()&lt;/code&gt; now render missing values in list-columns (@cregouby #138)&lt;/li&gt;
&lt;li&gt;Added &lt;code&gt;abbreviate_vars()&lt;/code&gt; function to assist with abbreviating data names (#140)&lt;/li&gt;
&lt;li&gt;Percentage missing in columns for &lt;code&gt;vis_miss()&lt;/code&gt; is now rounding to integers - for more accurate representation of missingness summaries please use the &lt;code&gt;naniar&lt;/code&gt; R package.&lt;/li&gt;
&lt;li&gt;A new vignette on customising colour palettes in visdat, "Customising colour palettes in visdat".&lt;/li&gt;
&lt;/ul&gt;
Bug Fix
&lt;ul&gt;
&lt;li&gt;no longer use old version of &lt;code&gt;gather_&lt;/code&gt; (#141)&lt;/li&gt;
&lt;li&gt;resolve bug where &lt;code&gt;vis_value()&lt;/code&gt; displayed constant values as NA values (#128) - these constant values are now shown as 1.&lt;/li&gt;
&lt;li&gt;removed use of the now deprecated "aes_string" from ggplot2&lt;/li&gt;
&lt;li&gt;output of plot in &lt;code&gt;vis_expect&lt;/code&gt; would reorder columns (&lt;a href="https://github.com/ropensci/visdat/issues/133"&gt;#133&lt;/a&gt;), fixed in &lt;a href="https://github.com/ropensci/visdat/pull/134"&gt;#143&lt;/a&gt; by &lt;a href="https://github.com/muschellij2"&gt;@muschellij2&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;
Misc
&lt;ul&gt;
&lt;li&gt;No longer uses gdtools for testing (#145)&lt;/li&gt;
&lt;li&gt;Use &lt;code&gt;cli&lt;/code&gt; internally for error messages.&lt;/li&gt;
&lt;li&gt;Speed up some internal functions in visdat&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
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