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In this tutorial, I cover core elements relating to data analysis with Python, such as:
Importing gold standard data analysis libraries- Pandas, Numpy, Seaborn, Matplotlib
Using sample Seaborn data
Checking for null values
Dropping columns in a Pythonic way
Adding percentage columns using lambda functions
Grouping and aggregating average values
Visualising our data with customised scatter plots and line of best fit
Enjoy!
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