Merge, Sort and Filter Data in Python Pandas
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.
由 SJ 提供2020年11月2日
All doubts are clear and all concepts are explain in details ,happy to learn all new concepts.
由 DT 提供2020年11月2日
Rhyme platform feels bug, demo video screen automatically becoming full screen it was really annoying and made coding uneasy. Please fix this.
由 II 提供2020年9月19日
You get what the title says! He also explains what we do why we do! so that's also good.
由 AT 提供2020年11月6日
I loved this course because of the clarity and simplicity