1. Analyzing Customer Age Groups
Marketing AnalystBackground
A marketing team has a list of 500 customer ages in a CSV file and needs to understand the age distribution for a targeted campaign.
Problem
The raw list is too long to interpret manually and needs to be grouped into 10-year age brackets.
How to use
Paste the age data, select 'Custom Ranges' for the bin type, and enter ranges like '18-28', '29-38', etc.
binType: custom, customBins: '18-28\n29-38\n39-48', includePercentage: trueOutcome
A clean table showing the count and percentage of customers in each age bracket, ready for a presentation.