Software Open Access

ropensci/visdat: The Northern Lights Moonwalker

Nicholas Tierney; Jennifer (Jenny) Bryan; Sean Hughes; Noam Ross; Mara Averick; Stuart Lee; Maëlle Salmon; Carson Sievert


JSON Export

{
  "conceptdoi": "10.5281/zenodo.837273", 
  "conceptrecid": "837273", 
  "created": "2018-07-02T07:20:29.211508+00:00", 
  "doi": "10.5281/zenodo.1302886", 
  "files": [
    {
      "bucket": "f30d6da9-3aea-4c2b-ba07-5c339d76ad78", 
      "checksum": "md5:4c0d94ce5c38df142269de689ec1f49f", 
      "key": "ropensci/visdat-0.5.0.zip", 
      "links": {
        "self": "https://zenodo.org/api/files/f30d6da9-3aea-4c2b-ba07-5c339d76ad78/ropensci/visdat-0.5.0.zip"
      }, 
      "size": 12534635, 
      "type": "zip"
    }
  ], 
  "id": 1302886, 
  "links": {
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.1302886.svg", 
    "bucket": "https://zenodo.org/api/files/f30d6da9-3aea-4c2b-ba07-5c339d76ad78", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.837273.svg", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.837273", 
    "doi": "https://doi.org/10.5281/zenodo.1302886", 
    "html": "https://zenodo.org/record/1302886", 
    "latest": "https://zenodo.org/api/records/1302886", 
    "latest_html": "https://zenodo.org/record/1302886"
  }, 
  "metadata": {
    "access_right": "open", 
    "access_right_category": "success", 
    "creators": [
      {
        "affiliation": "Monash University", 
        "name": "Nicholas Tierney"
      }, 
      {
        "affiliation": "@rstudio", 
        "name": "Jennifer (Jenny) Bryan"
      }, 
      {
        "name": "Sean Hughes"
      }, 
      {
        "affiliation": "EcoHealth Alliance", 
        "name": "Noam Ross"
      }, 
      {
        "name": "Mara Averick"
      }, 
      {
        "name": "Stuart Lee"
      }, 
      {
        "affiliation": "@ropensci @lockedata", 
        "name": "Ma\u00eblle Salmon"
      }, 
      {
        "affiliation": "Sievert Consulting LLC, @plotly", 
        "name": "Carson Sievert"
      }
    ], 
    "description": "New Features\n<ul>\n<li><code>vis_compare()</code> for comparing two dataframes of the same dimensions</li>\n<li><code>vis_expect()</code> for visualising where certain values of expectations occur in the data<ul>\n<li>Added NA colours to <code>vis_expect</code></li>\n<li>Added <code>show_perc</code> arg to <code>vis_expect</code> to show the percentage of expectations that are TRUE. #73</li>\n</ul>\n</li>\n<li><code>vis_cor</code> to visualise correlations in a dataframe</li>\n<li><code>vis_guess()</code> for displaying the likely type for each cell in a dataframe</li>\n<li>Added draft <code>vis_expect</code> to make it easy to look at certain appearances of numbers in your data.</li>\n<li>visdat is now under the rOpenSci github repository</li>\n</ul>\nMinor Changes\n<ul>\n<li>added CITATION for visdat to cite the JOSS article</li>\n<li>updated options for <code>vis_cor</code> to use argument <code>na_action</code> not <code>use_op</code>.</li>\n<li>cleaned up the organisation of the files and internal functions</li>\n<li>Added appropriate legend and x axis for <code>vis_miss_ly</code> - thanks to Stuart Lee</li>\n<li>Updated the <code>paper.md</code> for JOSS</li>\n<li>Updated some old links in doco</li>\n<li>Added Sean Hughes and Mara Averick to the DESCRIPTION with <code>ctb</code>.</li>\n<li>Minor changes to the paper for JOSS</li>\n</ul>\nBug Fixes\n<ul>\n<li><p>Fix bug reported in <a href=\"https://github.com/ropensci/visdat/issues/75\">#75</a> \nwhere <code>vis_dat(diamonds)</code> errored <code>seq_len(nrow(x))</code> inside internal \nfunction <code>vis_gather_</code>, used to calculate the row numbers. Using \n<code>mutate(rows = dplyr::row_number())</code> solved the issue.</p>\n</li>\n<li><p>Fix bug reported in <a href=\"https://github.com/ropensci/visdat/issues/72\">#72</a>\nwhere <code>vis_miss</code> errored when one column was given to it. This was an issue\nwith using <code>limits</code> inside <code>scale_x_discrete</code> - which is used to order the\ncolumns of the data. It is not necessary to order one column of data, so I\ncreated an if-else to avoid this step and return the plot early.</p>\n</li>\n<li><p>Fix visdat x axis alignment when show_perc_col = FALSE - <a href=\"https://github.com/ropensci/visdat/issues/82\">#82</a></p>\n</li>\n<li><p>fix visdat x axis alignment - <a href=\"https://github.com/ropensci/visdat/issues/57\">issue 57</a></p>\n</li>\n<li>fix bug where the column percentage missing would print to be NA when it was exactly equal to 0.1% missing. - <a href=\"https://github.com/ropensci/visdat/issues/62\">issue 62</a></li>\n<li><code>vis_cor</code> didn't gather variables for plotting appropriately - now fixed</li>\n</ul>", 
    "doi": "10.5281/zenodo.1302886", 
    "license": {
      "id": "other-open"
    }, 
    "publication_date": "2018-07-02", 
    "related_identifiers": [
      {
        "identifier": "https://github.com/ropensci/visdat/tree/0.5.0", 
        "relation": "isSupplementTo", 
        "scheme": "url"
      }, 
      {
        "identifier": "10.5281/zenodo.837273", 
        "relation": "isVersionOf", 
        "scheme": "doi"
      }
    ], 
    "relations": {
      "version": [
        {
          "count": 3, 
          "index": 2, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "1302886"
          }, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "837273"
          }
        }
      ]
    }, 
    "resource_type": {
      "title": "Software", 
      "type": "software"
    }, 
    "title": "ropensci/visdat: The Northern Lights Moonwalker", 
    "version": "0.5.0"
  }, 
  "owners": [
    29028
  ], 
  "revision": 3, 
  "stats": {
    "downloads": 0.0, 
    "unique_downloads": 0.0, 
    "unique_views": 4.0, 
    "version_downloads": 0.0, 
    "version_unique_downloads": 0.0, 
    "version_unique_views": 18.0, 
    "version_views": 18.0, 
    "version_volume": 0.0, 
    "views": 4.0, 
    "volume": 0.0
  }, 
  "updated": "2018-07-02T08:53:43.932623+00:00"
}
18
0
views
downloads
All versions This version
Views 184
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 184
Unique downloads 00

Share

Cite as