Our main objective is to identify which people are most likely to respond positively to the campaign. This can be done by analysing attributes such as age group, marital status, and other demographic details. You can check each factor individually, or you can use Excel features to automate the process and save a significant amount of time.
In this section, we’ll explore the role of binary values (0 and 1) and learn how to use the Remove Duplicates option available on the Data tab.
Key Learnings from the Previous Lesson:
- Instead of storing responses as “Yes” or “No,” we used 0 and 1. This approach makes it easier to perform calculations such as averages.
- The Remove Duplicates tool helps clean the dataset by keeping only unique values in a selected column.
Moving Further, Is there a way to automate grouping by age category without relying on filters? The answer lies in Excel formulas.
In the video demonstration, you practiced the following:
- Used the AVERAGEIF function to calculate the average response based on marital status (e.g., married, single, divorced).
- Learned how to lock certain cell ranges in formulas with the dollar sign ($). For example, in the AVERAGEIF function, the marital status column changes, but the response range remains fixed.
Mastering the use of fixed and relative cell references is a fundamental skill for day-to-day data analysis. What’s Next?
In the upcoming segment, you will dive deeper into cell referencing and explore text functions, which further expand Excel’s analytical power.