Grouping and aggregating data in pandas

Most business questions involve grouping and aggregating data. For example, we might want to examine sales by product category. Or else, we might be looking at profit margins by customer. Even when charting business performance over time, we are grouping our data by month or quarter. Therefore, you’ll find that .groupby() may be the method […]