Course: CSCI-866-001: Data Mining & Knowledge Discovery
Lecturer: Sothea HAS, PhD
Objective: This lab aims at reproducing what we have seen in the class about overall pattern/connection existed in the dataset (Amazon). You will also investigate some interesting aspects of this dataset.
The notebook of this Lab can be downloaded here: Intro_Data_Mining.ipynb.
Or you can work directly with Google Colab here: Intro_Data_Mining.ipynb.
Let’s begin by importing the dataset into our environment.
# To do| UserId | ProductId | Rating | Timestamp | |
|---|---|---|---|---|
| 0 | A39HTATAQ9V7YF | 0205616461 | 5.0 | 1369699200 |
| 1 | A3JM6GV9MNOF9X | 0558925278 | 3.0 | 1355443200 |
| 2 | A1Z513UWSAAO0F | 0558925278 | 5.0 | 1404691200 |
| 3 | A1WMRR494NWEWV | 0733001998 | 4.0 | 1382572800 |
| 4 | A3IAAVS479H7M7 | 0737104473 | 1.0 | 1274227200 |
A. Reproduce the result and graph illustrated from slide 26 of the course.
B.1. Visualize the rating distribution for the most popular product.
# To doB.2. Repeat the previous question for the 2nd and 3rd most popular products.
# To doC.1. Visualize the rating distribution over time.
# To doC.2. Does it seem that the recent products are higher rated compared to the older ones?