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Voltar para Merge, Sort and Filter Data in Python Pandas

Comentários e feedback de alunos de Merge, Sort and Filter Data in Python Pandas da instituição Coursera Project Network

4.4
estrelas
79 classificações
•
9 avaliações

Sobre o 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....

Melhores avaliações

SJ
2 de Nov de 2020

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

AT
6 de Nov de 2020

I loved this course because of the clarity and simplicity

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1 — 9 de 9 Avaliações para o Merge, Sort and Filter Data in Python Pandas

por Smita J

•
3 de Nov de 2020

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

Thank you.

por Anureet K T

•
7 de Nov de 2020

I loved this course because of the clarity and simplicity

por Deepak K

•
2 de Nov de 2020

Thank You

por Darshan D T

•
3 de Nov de 2020

Rhyme platform feels bug, demo video screen automatically becoming full screen it was really annoying and made coding uneasy. Please fix this.

por Idris

•
20 de Set de 2020

You get what the title says! He also explains what we do why we do! so that's also good.

por Akash R

•
29 de Set de 2020

only for beginners

por Satyam K Y

•
11 de Ago de 2020

Some what good

por wangjunposter@gmail.com

•
15 de Ago de 2020

there could be more stuff, given this price.

por Steven W

•
22 de Ago de 2020

Waste of time

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