如何在Google Sheets中提取数据集的前n%数值——以身高数据场景为例

Hey there! Let's break down how to pull the top 1% height values from your 50-person dataset in Google Sheets. Depending on whether you need the threshold for the top 1% or the actual top values themselves, here are simple, actionable methods:

Method 1: Calculate the Top 1% Threshold #

If you want to find the minimum height that qualifies someone as part of the top 1% (i.e., any height above this value is in the top 1%), use the PERCENTILE.EXC function. This function excludes the 0th and 100th percentiles, which is ideal for this use case.

Formula: #

=PERCENTILE.EXC(A2:A51, 0.99)

• A2:A51: Replace this with your actual range of height data (assuming A1 is a header).
• 0.99: Represents the 99th percentile—any value above this falls into the top 1%.

Method 2: Extract the Actual Top 1% Values #

Since 1% of 50 people is 0.5, we'll round up to the nearest whole number (1 person) to get the tallest individual's height. Use the LARGE function combined with ROUNDUP and COUNT to automate this:

Formula: #

=LARGE(A2:A51, ROUNDUP(COUNT(A2:A51)*0.01, 0))

• COUNT(A2:A51): Counts the total number of height entries (50 in your case).
• *0.01: Calculates 1% of the total count.
• ROUNDUP(..., 0): Rounds 0.5 up to 1, so we target the tallest value.
• LARGE(range, 1): Pulls the 1st largest value from the dataset.

Bonus: Extract All Entries in the Top 1% #

If there are ties (e.g., two people with the same maximum height), use FILTER to get all heights that fall into the top 1%:

Formula: #

=FILTER(A2:A51, A2:A51>PERCENTILE.EXC(A2:A51, 0.99))

This will return every height value that's above the 99th percentile threshold.

内容的提问来源于stack exchange，提问作者Abdikadir Imano