How to Rank() Your Data In Python Pandas [Part 1]

Опубликовано: 01 Ноябрь 2024
на канале: StrataScratch

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In this video, we will explore different ranking methods in Python for data analysis. We start with a simple exercise from Airbnb where we rank guests based on their ages in descending order. Then, we discuss the different ways to handle ties in ranking, including the default option that gives the same rank to tie groups under the average method, and the minimum and maximum methods that use the minimum and maximum rank for tie groups, respectively. Finally, we introduce the dense ranking method that assigns consecutive ranks with no gaps regardless of how many entities are tied for a rank. We apply these methods to different problems, including ranking cities by the most five-star businesses and hosts by the most number of beds listed, and compare the results of each method.

👉 Check out next video for more:
Data Ranking: Python Pandas and SQL Equivalents [Part 2]: • Data Ranking: Python Pandas and SQL E...

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Timeline:

Intro: (0:00)
Rank guests based on their ages (0:23)
Find the top 5 cities with the most 5 star businesses (2:09)
Ranking Hosts by beds (4:28)
Activity Rank (6:31)
Conclusion: (8:10)

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