{"id":20487,"date":"2022-08-31T10:13:55","date_gmt":"2022-08-31T08:13:55","guid":{"rendered":"https:\/\/www.wjst.de\/blog\/?p=20487"},"modified":"2022-09-06T08:06:06","modified_gmt":"2022-09-06T06:06:06","slug":"initial-data-analysis","status":"publish","type":"post","link":"https:\/\/www.wjst.de\/blog\/sciencesurf\/2022\/08\/initial-data-analysis\/","title":{"rendered":"Initial data analysis"},"content":{"rendered":"<p>Here is my favorite R list of packages<\/p>\n<pre class=\"brush: php; title: ; notranslate\" title=\"\">\r\nlibrary(DataExplorer)\r\nplot_str(iris)\r\nplot_bar(iris)\r\nplot_density(iris)\r\nplot_correlation(iris)\r\nplot_prcomp(iris)\r\n<\/pre>\n<p>see also<\/p>\n<pre class=\"brush: php; title: ; notranslate\" title=\"\">\r\ndevtools::install_github('https:\/\/github.com\/paulvanderlaken\/ppsr')\r\nscore(iris, x = 'Sepal.Length', y = 'Petal.Length', algorithm = 'glm')&#x5B;&#x5B;'pps']]\r\n<\/pre>\n<p>while for robustness of models I use<\/p>\n<pre class=\"brush: php; title: ; notranslate\" title=\"\">\r\ndevtools::install_github(&quot;chiragjp\/quantvoe&quot;)\r\nlibrary(quantvoe)\r\n<\/pre>\n<p>Python versions come <a href=\"https:\/\/towardsdatascience.com\/exploratory-data-analysis-in-python-a-step-by-step-process-d0dfa6bf94ee\">here<\/a> or <a href=\"https:\/\/blog.jovian.ai\/exploratory-data-analysis-using-python-a-case-study-78aa34e5922e\">here<\/a>.<\/p>\n\n<p>&nbsp;<\/p>\n<div class=\"bottom-note\">\n  <span class=\"mod1\">CC-BY-NC Science Surf , accessed 28.04.2026<\/span>\n <\/div>","protected":false},"excerpt":{"rendered":"<p>Here is my favorite R list of packages library(DataExplorer) plot_str(iris) plot_bar(iris) plot_density(iris) plot_correlation(iris) plot_prcomp(iris) see also devtools::install_github(&#8216;https:\/\/github.com\/paulvanderlaken\/ppsr&#8217;) score(iris, x = &#8216;Sepal.Length&#8217;, y = &#8216;Petal.Length&#8217;, algorithm = &#8216;glm&#8217;)&#x5B;&#x5B;&#8217;pps&#8217;]] while for robustness of models I use devtools::install_github(&quot;chiragjp\/quantvoe&quot;) library(quantvoe) Python versions come here or here. &nbsp; CC-BY-NC Science Surf , accessed 28.04.2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-20487","post","type-post","status-publish","format-standard","hentry","category-computer-software"],"_links":{"self":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/20487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/comments?post=20487"}],"version-history":[{"count":2,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/20487\/revisions"}],"predecessor-version":[{"id":20625,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/posts\/20487\/revisions\/20625"}],"wp:attachment":[{"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/media?parent=20487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/categories?post=20487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wjst.de\/blog\/wp-json\/wp\/v2\/tags?post=20487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}