Solving Real-World Data Analysis Tasks with Python Pandas (Part 2)

Welcome to Solving Real-World Data Analysis Tasks with Python Pandas (Part 2) of our interview series, where we continue our exploration of real-world data analysis using Python Pandas. In this session, we delve into hands-on practical exercises and uncover valuable insights. Whether you're a data enthusiast, an analyst, or someone eager to dive into practical data analysis, this session provides a solid foundation.

Chapters:
0:43 - Print out the name of the columns
2:10 - Find out the Region column where Rate is between 5 and 10
4:30 - Filter the data based on multiple conditions and print out the Region column where
Rate is greater than 5
6:14 - Find the total number of filtered result with len:
6:51 - Find the maximum, minimum, sum and average, of the Count column in Pandas
8:30 - Find all instances where Region equal to Europe, Count is greater than 100, and year is greater than 2018
10:10 - Change the column’s values by using an apply method, Multiply Rate column by 2 and store it to the new column
12:46 - How to replace values in DataFrame column Region with Replace method
15:10 - How to replace values in DataFrame column Region with Map method

#python #pandas #dataanalysis

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