{"id":8497,"date":"2019-01-25T08:23:54","date_gmt":"2019-01-25T06:23:54","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=8497"},"modified":"2020-04-19T16:26:17","modified_gmt":"2020-04-19T15:26:17","slug":"display-a-beautiful-summary-statistics-in-r-using-skimr-package","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/blog\/display-a-beautiful-summary-statistics-in-r-using-skimr-package\/","title":{"rendered":"Display a Beautiful Summary Statistics in R using Skimr Package"},"content":{"rendered":"<div id=\"rdoc\">\n<p>This article describes how to quickly display <strong>summary statistics<\/strong> using the R package <strong>skimr<\/strong>.<\/p>\n<p><code>skimr<\/code> handles different data types and returns a <code>skim_df<\/code> object which can be included in a tidyverse pipeline or displayed nicely for the human reader.<\/p>\n<p>Key features of skimr:<\/p>\n<ul>\n<li>Provides a larger set of statistics than the R base function <code>summary()<\/code>, including missing, complete, n, and sd.<\/li>\n<li>reports each data types separately<\/li>\n<li>handles dates, logicals, and a variety of other types<\/li>\n<li>supports spark-bar and spark-line<\/li>\n<\/ul>\n<p>Contents:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#prerequisite\">Prerequisite<\/a><\/li>\n<li><a href=\"#summarize-a-whole-dataset\">Summarize a whole dataset<\/a><\/li>\n<li><a href=\"#select-specific-columns-to-summarize\">Select specific columns to summarize<\/a><\/li>\n<li><a href=\"#handle-grouped-data\">Handle grouped data<\/a><\/li>\n<li><a href=\"#specify-your-own-statistics-and-classes\">Specify your own statistics and classes<\/a><\/li>\n<\/ul>\n<\/div>\n<div id=\"prerequisite\" class=\"section level2\">\n<h2>Prerequisite<\/h2>\n<p>Install the stable version from CRAN:<\/p>\n<pre class=\"r\"><code>install.packages(\"skimr\")<\/code><\/pre>\n<p>Load the package:<\/p>\n<pre class=\"r\"><code>library(skimr)<\/code><\/pre>\n<\/div>\n<div id=\"summarize-a-whole-dataset\" class=\"section level2\">\n<h2>Summarize a whole dataset<\/h2>\n<pre class=\"r\"><code>skim(iris)<\/code><\/pre>\n<table>\n<caption>Data summary<\/caption>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Name<\/td>\n<td align=\"left\">iris<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Number of rows<\/td>\n<td align=\"left\">150<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Number of columns<\/td>\n<td align=\"left\">5<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">_______________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Column type frequency:<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">factor<\/td>\n<td align=\"left\">1<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">numeric<\/td>\n<td align=\"left\">4<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">________________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Group variables<\/td>\n<td align=\"left\">None<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Variable type: factor<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th align=\"left\">skim_variable<\/th>\n<th align=\"right\">n_missing<\/th>\n<th align=\"right\">complete_rate<\/th>\n<th align=\"left\">ordered<\/th>\n<th align=\"right\">n_unique<\/th>\n<th align=\"left\">top_counts<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Species<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"left\">FALSE<\/td>\n<td align=\"right\">3<\/td>\n<td align=\"left\">set: 50, ver: 50, vir: 50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Variable type: numeric<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th align=\"left\">skim_variable<\/th>\n<th align=\"right\">n_missing<\/th>\n<th align=\"right\">complete_rate<\/th>\n<th align=\"right\">mean<\/th>\n<th align=\"right\">sd<\/th>\n<th align=\"right\">p0<\/th>\n<th align=\"right\">p25<\/th>\n<th align=\"right\">p50<\/th>\n<th align=\"right\">p75<\/th>\n<th align=\"right\">p100<\/th>\n<th align=\"left\">hist<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">5.84<\/td>\n<td align=\"right\">0.83<\/td>\n<td align=\"right\">4.3<\/td>\n<td align=\"right\">5.1<\/td>\n<td align=\"right\">5.80<\/td>\n<td align=\"right\">6.4<\/td>\n<td align=\"right\">7.9<\/td>\n<td align=\"left\">\u2586\u2587\u2587\u2585\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Sepal.Width<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">3.06<\/td>\n<td align=\"right\">0.44<\/td>\n<td align=\"right\">2.0<\/td>\n<td align=\"right\">2.8<\/td>\n<td align=\"right\">3.00<\/td>\n<td align=\"right\">3.3<\/td>\n<td align=\"right\">4.4<\/td>\n<td align=\"left\">\u2581\u2586\u2587\u2582\u2581<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Petal.Length<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">3.76<\/td>\n<td align=\"right\">1.77<\/td>\n<td align=\"right\">1.0<\/td>\n<td align=\"right\">1.6<\/td>\n<td align=\"right\">4.35<\/td>\n<td align=\"right\">5.1<\/td>\n<td align=\"right\">6.9<\/td>\n<td align=\"left\">\u2587\u2581\u2586\u2587\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Petal.Width<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1.20<\/td>\n<td align=\"right\">0.76<\/td>\n<td align=\"right\">0.1<\/td>\n<td align=\"right\">0.3<\/td>\n<td align=\"right\">1.30<\/td>\n<td align=\"right\">1.8<\/td>\n<td align=\"right\">2.5<\/td>\n<td align=\"left\">\u2587\u2581\u2587\u2585\u2583<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"select-specific-columns-to-summarize\" class=\"section level2\">\n<h2>Select specific columns to summarize<\/h2>\n<pre class=\"r\"><code>skim(iris, Sepal.Length, Petal.Length)<\/code><\/pre>\n<table>\n<caption>Data summary<\/caption>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Name<\/td>\n<td align=\"left\">iris<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Number of rows<\/td>\n<td align=\"left\">150<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Number of columns<\/td>\n<td align=\"left\">5<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">_______________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Column type frequency:<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">numeric<\/td>\n<td align=\"left\">2<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">________________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Group variables<\/td>\n<td align=\"left\">None<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Variable type: numeric<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th align=\"left\">skim_variable<\/th>\n<th align=\"right\">n_missing<\/th>\n<th align=\"right\">complete_rate<\/th>\n<th align=\"right\">mean<\/th>\n<th align=\"right\">sd<\/th>\n<th align=\"right\">p0<\/th>\n<th align=\"right\">p25<\/th>\n<th align=\"right\">p50<\/th>\n<th align=\"right\">p75<\/th>\n<th align=\"right\">p100<\/th>\n<th align=\"left\">hist<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">5.84<\/td>\n<td align=\"right\">0.83<\/td>\n<td align=\"right\">4.3<\/td>\n<td align=\"right\">5.1<\/td>\n<td align=\"right\">5.80<\/td>\n<td align=\"right\">6.4<\/td>\n<td align=\"right\">7.9<\/td>\n<td align=\"left\">\u2586\u2587\u2587\u2585\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Petal.Length<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">3.76<\/td>\n<td align=\"right\">1.77<\/td>\n<td align=\"right\">1.0<\/td>\n<td align=\"right\">1.6<\/td>\n<td align=\"right\">4.35<\/td>\n<td align=\"right\">5.1<\/td>\n<td align=\"right\">6.9<\/td>\n<td align=\"left\">\u2587\u2581\u2586\u2587\u2582<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"handle-grouped-data\" class=\"section level2\">\n<h2>Handle grouped data<\/h2>\n<p><code>skim()<\/code> can handle data that has been grouped using <code>dplyr::group_by<\/code>.<\/p>\n<pre class=\"r\"><code>iris %&gt;% \r\n  dplyr::group_by(Species) %&gt;% \r\n  skim() <\/code><\/pre>\n<table>\n<caption>Data summary<\/caption>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Name<\/td>\n<td align=\"left\">Piped data<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Number of rows<\/td>\n<td align=\"left\">150<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Number of columns<\/td>\n<td align=\"left\">5<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">_______________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Column type frequency:<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">numeric<\/td>\n<td align=\"left\">4<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">________________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Group variables<\/td>\n<td align=\"left\">Species<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Variable type: numeric<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th align=\"left\">skim_variable<\/th>\n<th align=\"left\">Species<\/th>\n<th align=\"right\">n_missing<\/th>\n<th align=\"right\">complete_rate<\/th>\n<th align=\"right\">mean<\/th>\n<th align=\"right\">sd<\/th>\n<th align=\"right\">p0<\/th>\n<th align=\"right\">p25<\/th>\n<th align=\"right\">p50<\/th>\n<th align=\"right\">p75<\/th>\n<th align=\"right\">p100<\/th>\n<th align=\"left\">hist<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"left\">setosa<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">5.01<\/td>\n<td align=\"right\">0.35<\/td>\n<td align=\"right\">4.3<\/td>\n<td align=\"right\">4.80<\/td>\n<td align=\"right\">5.00<\/td>\n<td align=\"right\">5.20<\/td>\n<td align=\"right\">5.8<\/td>\n<td align=\"left\">\u2583\u2583\u2587\u2585\u2581<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"left\">versicolor<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">5.94<\/td>\n<td align=\"right\">0.52<\/td>\n<td align=\"right\">4.9<\/td>\n<td align=\"right\">5.60<\/td>\n<td align=\"right\">5.90<\/td>\n<td align=\"right\">6.30<\/td>\n<td align=\"right\">7.0<\/td>\n<td align=\"left\">\u2582\u2587\u2586\u2583\u2583<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"left\">virginica<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">6.59<\/td>\n<td align=\"right\">0.64<\/td>\n<td align=\"right\">4.9<\/td>\n<td align=\"right\">6.23<\/td>\n<td align=\"right\">6.50<\/td>\n<td align=\"right\">6.90<\/td>\n<td align=\"right\">7.9<\/td>\n<td align=\"left\">\u2581\u2583\u2587\u2583\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Sepal.Width<\/td>\n<td align=\"left\">setosa<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">3.43<\/td>\n<td align=\"right\">0.38<\/td>\n<td align=\"right\">2.3<\/td>\n<td align=\"right\">3.20<\/td>\n<td align=\"right\">3.40<\/td>\n<td align=\"right\">3.68<\/td>\n<td align=\"right\">4.4<\/td>\n<td align=\"left\">\u2581\u2583\u2587\u2585\u2582<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Width<\/td>\n<td align=\"left\">versicolor<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">2.77<\/td>\n<td align=\"right\">0.31<\/td>\n<td align=\"right\">2.0<\/td>\n<td align=\"right\">2.52<\/td>\n<td align=\"right\">2.80<\/td>\n<td align=\"right\">3.00<\/td>\n<td align=\"right\">3.4<\/td>\n<td align=\"left\">\u2581\u2585\u2586\u2587\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Sepal.Width<\/td>\n<td align=\"left\">virginica<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">2.97<\/td>\n<td align=\"right\">0.32<\/td>\n<td align=\"right\">2.2<\/td>\n<td align=\"right\">2.80<\/td>\n<td align=\"right\">3.00<\/td>\n<td align=\"right\">3.18<\/td>\n<td align=\"right\">3.8<\/td>\n<td align=\"left\">\u2582\u2586\u2587\u2585\u2581<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Petal.Length<\/td>\n<td align=\"left\">setosa<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1.46<\/td>\n<td align=\"right\">0.17<\/td>\n<td align=\"right\">1.0<\/td>\n<td align=\"right\">1.40<\/td>\n<td align=\"right\">1.50<\/td>\n<td align=\"right\">1.58<\/td>\n<td align=\"right\">1.9<\/td>\n<td align=\"left\">\u2581\u2583\u2587\u2583\u2581<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Petal.Length<\/td>\n<td align=\"left\">versicolor<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">4.26<\/td>\n<td align=\"right\">0.47<\/td>\n<td align=\"right\">3.0<\/td>\n<td align=\"right\">4.00<\/td>\n<td align=\"right\">4.35<\/td>\n<td align=\"right\">4.60<\/td>\n<td align=\"right\">5.1<\/td>\n<td align=\"left\">\u2582\u2582\u2587\u2587\u2586<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Petal.Length<\/td>\n<td align=\"left\">virginica<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">5.55<\/td>\n<td align=\"right\">0.55<\/td>\n<td align=\"right\">4.5<\/td>\n<td align=\"right\">5.10<\/td>\n<td align=\"right\">5.55<\/td>\n<td align=\"right\">5.88<\/td>\n<td align=\"right\">6.9<\/td>\n<td align=\"left\">\u2583\u2587\u2587\u2583\u2582<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Petal.Width<\/td>\n<td align=\"left\">setosa<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0.25<\/td>\n<td align=\"right\">0.11<\/td>\n<td align=\"right\">0.1<\/td>\n<td align=\"right\">0.20<\/td>\n<td align=\"right\">0.20<\/td>\n<td align=\"right\">0.30<\/td>\n<td align=\"right\">0.6<\/td>\n<td align=\"left\">\u2587\u2582\u2582\u2581\u2581<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Petal.Width<\/td>\n<td align=\"left\">versicolor<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1.33<\/td>\n<td align=\"right\">0.20<\/td>\n<td align=\"right\">1.0<\/td>\n<td align=\"right\">1.20<\/td>\n<td align=\"right\">1.30<\/td>\n<td align=\"right\">1.50<\/td>\n<td align=\"right\">1.8<\/td>\n<td align=\"left\">\u2585\u2587\u2583\u2586\u2581<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Petal.Width<\/td>\n<td align=\"left\">virginica<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">2.03<\/td>\n<td align=\"right\">0.27<\/td>\n<td align=\"right\">1.4<\/td>\n<td align=\"right\">1.80<\/td>\n<td align=\"right\">2.00<\/td>\n<td align=\"right\">2.30<\/td>\n<td align=\"right\">2.5<\/td>\n<td align=\"left\">\u2582\u2587\u2586\u2585\u2587<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"specify-your-own-statistics-and-classes\" class=\"section level2\">\n<h2>Specify your own statistics and classes<\/h2>\n<p>Users can specify their own statistics using a list combined with the <code>skim_with()<\/code> function. This can support any named class found in your data.<\/p>\n<pre class=\"r\"><code>my_skim &lt;- skim_with(\r\n  numeric = sfl(iqr = IQR, mad = mad, p99 = ~ quantile(., probs = .99)),\r\n  append = FALSE\r\n)\r\nmy_skim(iris, Sepal.Length)<\/code><\/pre>\n<table>\n<caption>Data summary<\/caption>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Name<\/td>\n<td align=\"left\">iris<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Number of rows<\/td>\n<td align=\"left\">150<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Number of columns<\/td>\n<td align=\"left\">5<\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">_______________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">Column type frequency:<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">numeric<\/td>\n<td align=\"left\">1<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td align=\"left\">________________________<\/td>\n<td align=\"left\"><\/td>\n<\/tr>\n<tr class=\"even\">\n<td align=\"left\">Group variables<\/td>\n<td align=\"left\">None<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Variable type: numeric<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th align=\"left\">skim_variable<\/th>\n<th align=\"right\">n_missing<\/th>\n<th align=\"right\">complete_rate<\/th>\n<th align=\"right\">iqr<\/th>\n<th align=\"right\">mad<\/th>\n<th align=\"right\">p99<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td align=\"left\">Sepal.Length<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1.3<\/td>\n<td align=\"right\">1.04<\/td>\n<td align=\"right\">7.7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article describes how to quickly display summary statistics using the R package skimr. skimr handles different data types and returns a skim_df object which can be included in a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7871,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[132],"tags":[140],"class_list":["post-8497","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-basic-statistics","tag-descriptive-statistics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - 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