Chevron Left
Zurück zu Merge, Sort and Filter Data in Python Pandas

Bewertung und Feedback des Lernenden für Merge, Sort and Filter Data in Python Pandas von Coursera Project Network

4.5
Sterne
102 Bewertungen

Über den Kurs

Visualizing data patterns often involves re-arrangement and elimination to determine patterns. For example, in a list of data with yearly rainfall amounts, to quickly determine the years with the most rainfall, the data can be sorted according to rainfall in descending order. A filter could be used to limit the amount of data observed, for example, to only show rainfall amounts greater than an inch. A merge can be used to join two datasets together, for example rainfall and temperature data from two different sources. The ability to sort, merge and filter data has always existed using SQL with database data, now it can be done in application memory space using Python. In this course, you will create an application that reads data from two CSV files. You will learn how to merge, sort, and filter the data to ultimately produce a regression plot to determine a possible correlation between two data sets....

Top-Bewertungen

SJ

2. Nov. 2020

All doubts are clear and all concepts are explain in details ,happy to learn all new concepts.

Thank you.

AT

6. Nov. 2020

I loved this course because of the clarity and simplicity

Filtern nach:

1 - 14 von 14 Bewertungen für Merge, Sort and Filter Data in Python Pandas

von Idris

20. Sep. 2020

von Smita J

3. Nov. 2020

von Anureet K T

7. Nov. 2020

von Vito S

1. Nov. 2022

von Paul M

14. Jan. 2022

von abubakr

15. Okt. 2021

von Deepak K

2. Nov. 2020

von Darshan D T

3. Nov. 2020

von Hamed A

17. Mai 2022

von Esteban G L

21. Jan. 2021

von Akash R

29. Sep. 2020

von Satyam K Y

11. Aug. 2020

von wangjunposter@gmail.com

15. Aug. 2020

von Steven W

22. Aug. 2020