A quality control analyst has measurements from 100 products…

A quality control analyst has measurements from 100 products across 5 different sensors (a 100×5 array). Explain how you would use NumPy to find: (1) the average reading for each sensor, (2) products where any sensor reading exceeds a threshold, and (3) the sensor with the highest variability. Which axis parameter would you use for each calculation and why?

You have sales data with columns: date, store_id, product, q…

You have sales data with columns: date, store_id, product, quantity, revenue. Explain how you would use Pandas to: (1) calculate total revenue per store, (2) find the top 5 best-selling products by quantity, and (3) create a new column showing revenue per unit.

You have sales data with columns: date, store_id, product, q…

You have sales data with columns: date, store_id, product, quantity, revenue. Explain how you would use Pandas to: (1) calculate total revenue per store, (2) find the top 5 best-selling products by quantity, and (3) create a new column showing revenue per unit.