Exploring Data with Python's Pandas Library - REAL WORLD EXERCISES (Interview) Part 5
In the fifth installment of our interview-driven "Exploring Data with Python's Pandas Library" series, we dive deep into real-world exercises that provide practical insights and applications for data analysis. Join us as we tackle complex data challenges, guided by experienced data professionals who share their expertise.
Chapters:
1:20, 4:15 - How to count the occurrences of each unique value in the "Position" column of a DataFrame df where the "Team" column is equal to "Boston Celtics".
6:00 - Return a subset of the DataFrame where the 'College' column contains ‘State’
10:15 - Display one specific or multiple columns , where the College column contains State
11:15 - Display the maximum, minimum, sum and average Number, Age for the Team column:
13:05 - Convert the data type of specific columns
15:55- Add a dollar sign to the 'salary' column in a DataFrame
16:45 - Combine Height / Weight to the new column.
#python #ai #bigdata #dataanalysis #datascience #pandas
Source:
https://github.com/Rruhid/data
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