Note: If you are looking for more functions, we have a huge guide of 100+ Functions & Formulas for Google Sheets & Excel Basics<\/a>\u00a0<\/p>\n PERCENTILE(data, percentile)<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n Please consider the following screenshot, that demonstrates the practical application of this formula. We have a numeric dataset in column A. And we have a few percentile calculations as illustrated in column B.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2021\/10\/PERCENTILE-formula-Google-Sheets-1.png” alt=”PERCENTILE formula Google Sheets 1″ title_text=”PERCENTILE formula Google Sheets 1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.16″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n The first example is calculating the 50th percentile \u2013 meaning that we see the median value of the dataset. It may so happen that the output may not correspond to any single value in the dataset. And that is what happened here. The second and third examples calculate the 67th and 90th percentiles respectively. And they don\u2019t correspond to any single data point either.<\/p>\n Now one might begin to wonder, what would a 0th and 100th percentile look like. So, we\u2019ve tried them too, in the fourth and fifth examples. And it is no surprise that the 0th percentile displayed the lowest value in the dataset, while the 100th percentile got us the highest value.<\/p>\n You may have noticed the data is sorted in ascending order \u2013 that is done just for the purposes of our quick understanding. However, in real life scenarios, it is not necessary to have a sorted data for input.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Spreadsheets are where most of us do our data analysis on. For that reason, we have many formulas and tools to aid us in that direction. And the\u00a0PERCENTILE\u00a0formula in Google Sheets is one such formula. It gives us the value below which the specified percentage of\u00a0observations in a group fall.\u00a0It essentially segregates the data points […]<\/p>\n","protected":false},"author":40,"featured_media":8792,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"Spreadsheets are where most of us do our data analysis on. For that reason, we have many formulas and tools to aid us in that direction. And the PERCENTILE<\/a> formula in Google Sheets is one such formula. It gives us the value below which the specified percentage of observations in a group fall. It essentially segregates the data points into 100 equidistant segments. So the 50th percentile, for example, would return the value placed in the 50th segment.\nSyntax<\/h3>\n
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Usage: PERCENTILE formula in Google Sheets<\/h3>\n
Syntax<\/h3>\nPERCENTILE(data, percentile)<\/strong>\n
\n \t
Usage: PERCENTILE formula in Google Sheets<\/h3>\nPlease consider the following screenshot, that demonstrates the practical application of this formula. We have a numeric dataset in column A. And we have a few percentile calculations as illustrated in column B.\n\n
![\"PERCENTILE](\"https:\/\/static.sheetgo.com\/wp-content\/uploads\/2018\/06\/PERCENTILE-formula-Illustration-Frame-1.png\")
\n\nThe first example is calculating the 50th percentile - meaning that we see the median value of the dataset. It may so happen that the output may not correspond to any single value in the dataset. And that is what happened here. The second and third examples calculate the 67th and 90th percentiles respectively. And they don't correspond to any single data point either.\n\nNow one might begin to wonder, what would a 0th and 100th percentile look like. So, we've tried them too, in the fourth and fifth examples. And it is no surprise that the 0th percentile displayed the lowest value in the dataset, while the 100th percentile got us the highest value.\n\nYou may have noticed the data is sorted in ascending order - that is done just for the purposes of our quick understanding. However, in real life scenarios, it is not necessary to have a sorted data for input.","_et_gb_content_width":"","footnotes":""},"categories":[54],"tags":[39,28],"class_list":["post-8754","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google-sheets-formulas","tag-connections-t","tag-spreadsheets"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts\/8754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/comments?post=8754"}],"version-history":[{"count":0,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts\/8754\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/media\/8792"}],"wp:attachment":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/media?parent=8754"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/categories?post=8754"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/tags?post=8754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}