Challenge 2: Merge with Missing Values (Medium)
Explore techniques for merging DataFrames with missing values using left joins in Pandas. Understand how to identify records without matching keys, filter them effectively, and compute sums on specific columns. This lesson helps you handle imperfect data merges often encountered in real-world datasets.
We'll cover the following...
We'll cover the following...
Problem definition
your music analyst now has two datasets with complementary information.
The first dataset contains information about bands, and their associated data. However, instead of names, it refers to countries by their IDs. Here are three sample rows:
| artist | country | plays | genre | fans |
|---|---|---|---|---|
| The Beatles | 1 | 150 | rock | 50 |