Creating a template for Basic EDA on any datasets. Here we demonstrate a simple EDA on a coffee shop data.
Analyze sales trends over time, discover peak days, and identify top-selling products driving business revenue. Perfect for EDA enthusiasts and coffee connoisseurs. βπ #CoffeeSales #DataAnalysis #EDA
- Discovering transaction_date column
- Extract some information such as year , month and day
- Transaction in each month
- Transaction in each day of week
- Transaction in each hour
- Sales over different Transaction Quantities
- Sales in Each Store
- Most Common Category
- Most Common Product in Each Category
- Category VS Total revenue
A bar plot focusing on the Transactions over months.
A bar plot focusing on the Transactions over days of week.
A bar plot focusing on the Transactions over hours. Most sales were from 7 AM to 11 AM
A bar plot focusing on the sales over transaction quantities. Most sales were singles followed by 2 lots
A pie plot focusing on the sales for each store. The sales rates of the three stores were similar, with the most significant difference observed at the Hell's Kitchen store
A bar plot focusing on the most common products. Coffee stands as the best-selling product. Tea also exhibits a high sales rate.
A bar plot focusing on the most common products. Coffee stands as the best-selling product. Tea also exhibits a high sales rate.
Top Revenue Product Types :
- Barista Espresso with a revenue of 91,406.20
- Brewed Chai tea with a revenue of 77,081.95
- Hot chocolate with a revenue of 72,416.00
- Gourmet brewed coffee with a revenue of 70,034.60
- Brewed Black tea with a revenue of 47,932.00
Lowest Revenue Product Types :
- Organic Chocolate with a revenue of 1,679.60
- Green tea with a revenue of 1,470.75
- Green beans with a revenue of 1,340.00
Other Observations :
- Various products contribute to revenue across different ranges, with a mix of beverages (like teas, coffees) and snacks (biscotti, pastries).
- Coffee-related products, such as various brews and espresso variants, hold prominent positions in revenue generation.
- The lowest revenue-generating products are predominantly related to tea and specific beverage variants.