This Report will show Statistics and Visualization techniques and understand the dataset and get business inferences
- No null values or improper values present
- Changed Postal Code feature to object
- Five point Descriptive Statistics - Univariate description of both the numerical and categorical variables
- Correlation and Pair plot - Distribution and the relation between the numerial variables
- Bivariate and multivariate Analysis - Plotting Pieplot and Barplots to visualize and infer the significance of the features
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New York and Los Angeles among top 10 Revenue contributing Cities
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Relatively smaller cities such as Whakatane, Xingtai,Salto have higher revenue and profit per purchase on average
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Southeast Asia Region trending in less profits because of loss in Furniture category
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Office supplies have been given high discount at times, but Furnitures have wider possible range of discount
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Products on technology category yields best revenue and profit per purchase
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Standard Class is the most preferred. Second Class Shipping mode yield more profit per purchase
- In 'Southeast Asia', the furniture business is in loss and it is a concern to be addressed
- Company gets high revenue from popular cities such New York, Los Angeles, Manila,Seattle, but small cities such as Whakatane, Xingtai,Salto shows promise with high average revenue and profit per purchase
- Technology products give the best average profit per purchase
- In technology related products, 'copier' gives 10x profit compared with any other sub category
- Company should promote 'Second Class' shipping modes for better revenue and profit per purchase