Pandas Trick: Aggregate and Compare Data by Multiple Features (Pandas Aggregator)
Aggregate data by Pandas is one of the common action in both Data Analysis and Data Science. Compare Data by Aggregated Multiple Features is very easy and you can do it just in few lines with Pandas in Python. Personally for me this Pandas trick saves lot of time.
Pandas Aggregation let you to create a representative table with aggregated features values for diferent object that you want to compare its data. It is not a pivot table. It is more like aggregated table based on multiple features in one place for you comparison analysis, to get quick insights for your project, case or business problem.
I think this woul really help in Exploratory Data Analysis (EDA) phase while you perform data pre-processing or pos-processing, data cleaning and other processes with data.
The method I used from Panas is group by and then applying my custom aggregator on the top of this method to my data.
Data used in the video: https://www.kaggle.com/jessemostipak/...
Enjoy!
#pandastrick
#dataanalytics
#statistics
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