00:01
Once again, welcome to a new problem.
00:04
This time we're dealing with our variables.
00:07
We're dealing with variables and there are two types of variables.
00:11
We have categorical variables and of course we also have numerical variables.
00:23
Categorical variables are also qualitative in nature like gender and numerical.
00:32
Variables are quantitative in nature, like height, and when it comes to categorical variables, or rather numerical variables, for example, we could have discrete variables, which are whole numbers, like, for example, number of children, and we could also have continuous variables, which have intervals like weight or height.
01:19
When it comes to levels of measurement, data can be nominal with no ranking, with no ranking like gender.
01:37
Data can also be ordinal with the ranking, like school grades.
01:48
And when i say school grades, it's like a, b, c, d, and e.
01:55
So a has a higher ranking than e.
01:59
And we could also have interval, which are data points.
02:08
These are numerical in nature...