Understanding Data Types and Sources

We are discussing data sources and types this October.
Why wait till 25th on Instagram?
Let us start the conversation here and now as well as ask all our pressing questions!

Learn and connect with data


Hi, drop your questions here. Let’s discuss

you mentioned categorizing eg occupation for easier analysis. is there a trade-off for this inconvenience? won’t some information be lost?

@Nma717 Usually, if the categories are too much, it ends up being useless for analysis. The sample size for each category will be too small to detect any statistically significant difference. If you are using a sample size of 200, and there are 10 different occupations for instance, the size is too small. So its better to group them in to fewer categories, its more meaningful and richer. It saves time during data entry and analysis