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In this repo, I attempted to solve the CFG Python for Data MOOC Challenge to analyze data for Product Sales. I used pandas and plotly to solve this challenge.

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CFG Python for Data Challenge

In this repo, I attempted to solve the CFG Python for Data MOOC Challenge to analyze data for Product Sales. I used pandas and plotly to solve this challenge.

You can find the slide deck which summarises key findings and data visualisations I made as part of the project here.

Feedback from the Instructor:

  • Nice looking slide deck, but try using a lighter background with darker font colour or vice-versa. The current one makes it bit hard to read the slide text sometimes, such as slide 3.
  • Nice and beautiful plots. Out of all the submission, this is first one which uses plotly. And good observation about fitbit and wrong categorisation- good inputs.
  • Great use of Jupyter Notebook's markdowns and clear explanations.
  • Customer with most sales calculation might be bit wrong, but I understand the question itself wasn't absolutely clear about it either Great work overall!

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In this repo, I attempted to solve the CFG Python for Data MOOC Challenge to analyze data for Product Sales. I used pandas and plotly to solve this challenge.

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