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
103 classificações
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.
Thank you.
AT
6 de nov de 2020
I loved this course because of the clarity and simplicity
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por Idris
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•22 de ago de 2020
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