Recall that our primary aim is to find the types of people who are most likely to respond positively to the campaign. You can analyse various attributes like age group, marital status etc. one at a time or could automate the task to do the same thing in a fraction of seconds. In this segment, you will learn faster ways to extract the important pieces of information from the data.
In the previous video, we observed the use of:
Is there a formula that can automate the aggregation by age group and eliminate the use of filters? Let's explore
To summarize the most important things you've learnt:
Freezing cells in formulae is one of the most important skills you'll need to do in everyday analysis, so make sure to practise a bit more of that in the upcoming segments.