Chevron Left
Volver a Merge, Sort and Filter Data in Python Pandas

Opiniones y comentarios de aprendices correspondientes a Merge, Sort and Filter Data in Python Pandas por parte de Coursera Project Network

4.5
estrellas
97 calificaciones

Acerca del Curso

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....

Principales reseñas

SJ

2 de nov. de 2020

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

Thank you.

AT

6 de nov. de 2020

I loved this course because of the clarity and simplicity

Filtrar por:

1 - 13 de 13 revisiones para Merge, Sort and Filter Data in Python Pandas

por Idris

20 de sep. de 2020

por Smita J

3 de nov. de 2020

por Anureet K T

7 de nov. de 2020

por Paul M

14 de ene. de 2022

por abubakr

15 de oct. de 2021

por Deepak K

2 de nov. de 2020

por Darshan D T

3 de nov. de 2020

por Hamed A

17 de may. de 2022

por Esteban G L

21 de ene. de 2021

por Akash R

29 de sep. de 2020

por Satyam K Y

11 de ago. de 2020

por wangjunposter@gmail.com

15 de ago. de 2020

por Steven W

22 de ago. de 2020