Solving real world data science tasks with Python Pandas!-sales Analysis

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In this video we use Python Pandas & Python Matplotlib to analyze and answer business questions regarding the sales trend of a company.
To answer these questions we walk through many different pandas & matplotlib methods. They include:
- Adding columns
- Parsing cells as strings to make new columns (.str)
- Using the .apply() method
- Using groupby to perform aggregate analysis
- Plotting stacked bar charts to visualize our results
- Labeling our graphs

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#Coding #Programming #Python #Rxtutorials
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In this video we use Python Pandas & Python Matplotlib to analyze and answer business questions regarding the sales of products of a company.
To answer these questions we walk through many different pandas & matplotlib methods. They include:
- Adding columns
- Parsing cells as strings to make new columns (.str)
- Using the .apply() method
- Using groupby to perform aggregate analysis
- Plotting stacked bar charts to visualize our results
- Labeling our graphs

rxtutorials
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can you provide the source of your data set

JohnAryeetey
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السلام عليكم انا Salman ramdoun DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM DREAM

salmanramdon