The Diwali Sales Analysis dataset offers a fascinating glimpse into the shopping trends and consumer behaviors during the festive Diwali season. In this analysis, we will delve into the dataset to uncover patterns, insights, and narratives related to sales, products, and customer engagement during the Diwali festivities.
- Python
- Download the dataset from Kaggle.
- Most of the buyers are Females.
- Females are spending more money on purchasing as comapred to male.
- Buyers between 26-35 age group are spending more money on buying goods on diwali.
- Most of the orders are from Uttar Pradesh, Maharashtra and Karnataka.
- Uttar Pradesh, Maharashtra and Karnataka are spending more money on buying goods in diwali.
- Most of the buyers are married.
- Most of the buyers are married womens and they spent more amount on purchasing goods in diwali.
- Most of the buyers are from IT, Healthcare and Aviation sector.
- Most of the sold products are from Food, Clothing and Electronics category.
- P00265242 and P00110942 are the most sold products.
- Married women age group between 26-35 years from UP, Maharastra and Karnataka working in IT, Healthcare and Aviation sectors are more likely to buy products from Food, Clothing and Electronics categories