How can we understand some general properties of a dataset with pandas?
Using either specific statistics, such as mean, median, or standard deviation, on specific columns. Alternatively, you can use the describe method—it will compute descriptive statistics (the ones above it, plus the minimum/maximum, quartiles, and a few more) for all the columns in a dataframe.
What does the resample function do in pandas? How is it different from aggregation?
This method is meant to be used on a dataframe of time-based records. resample works similar to aggregation, except that it groups by a time period and returns rows (with empty values) for missing periods as well.
How does visualization work in pandas?
Pandas has an extensive and simple interface for visualization, but it doesn't create charts on its own; all the actual visual stuff is done by matplotlib. Starting...
