SQL vs. Pandas: How to Count Unique Users per Day (Leetcode 1693)

In this video, we solve "Daily Leads and Partners" (LeetCode 1693), a classic Data Science interview question that tests your ability to perform Distinct Aggregations. The Challenge: We have a table of sales leads and partners for different car makes (Toyota, Honda, etc.). We need to find the number of distinct leads and distinct partners for each date and make. If you just use COUNT(), you'll count duplicates! We solve this side-by-side: - MS SQL Server: Using GROUP BY and the COUNT(DISTINCT column) function. - Python Pandas: Using .groupby() and the .agg('nunique') function to handle multiple columns at once. ⏱️ Timestamps: 0:00 - Intro 0:40 - SQL Solution 1:09 - Pandas Solution Check out my Playlist: https://www.youtube.com/playlist?list=PLGT-z9cVth9mua-HvnqhN2FQTisyZjQ4B Subscribe for more Data Science coding challenges! www.youtube.com/@datahead_girl #python #pandas #coding #datascience