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Deriving key insgihts from Amazon Sales Data through data visualization using Python Libraries

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pratyusha-garaye/Amazon-Sales-Data-Analysis

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Amazon-Sales-data-analysis

Tools and Libraries:

Jupyter Notebook, Python - Pandas, Seaborn, Matplotlib Libraries

  • Visualized data from Amazon Sales Dataset and drew key insights into different attributes of the business.

Insights:

  • Conclusion 1: North America Region has the biggest share in number of orders placed regionwise

  • Conclusion 2: Clothes and Cosmetics has sold equal units in all regions combined ItemType

  • Conclusion 3: Month of September has the highest sales monthlyrev

  • Conclusion 4: The highest levels of fluctuations in Total Revenue happened between 2012 and 2013 Fluctuations

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Deriving key insgihts from Amazon Sales Data through data visualization using Python Libraries

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