https://github.com/mayarxx/coffee-order-dashboard

Excel Dashboard for coffee order data
https://github.com/mayarxx/coffee-order-dashboard

Last synced: about 2 months ago
JSON representation

Excel Dashboard for coffee order data

• Host: GitHub
• URL: https://github.com/mayarxx/coffee-order-dashboard
• Owner: mayarxx
• Created: 2024-04-19T19:15:13.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-10T17:33:55.000Z (8 months ago)
• Last Synced: 2024-05-10T18:39:39.702Z (8 months ago)
• Homepage:
• Size: 979 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
***An Excel project going through a coffee order dataset to explore its features and represent the important ones in a dashboard to gain insights***

**Core Elements of the Coffee Sales Dashboard**

*Order Date Filter:*

Use a timeline slicer to allow users to select specific periods or a range of months for deeper analysis.

*Sales Over Time:*

Utilize a line chart to depict sales trends across different coffee types over time. This can help in identifying seasonal peaks and troughs.

*Top Five Customers:*

Display a bar chart showing the top five customers by sales value. This could be dynamically updated based on the selected time period.

*Sales Per Country:*

Integrate a bar chart or even a map visualization if possible to show sales distribution by country. This should highlight the countries with the highest sales, aiding in geographic market analysis.

*Sales Per Coffee Type:*

Use a pie chart to display the proportion of total sales contributed by each coffee type. This visual can quickly inform which coffee types are most popular.

*Sales Metrics by Roast Type:*

Implement a series of bar charts or small multiples to compare sales metrics across different roast types (Dark, Light, Medium). This could include average sales value, number of transactions, and profitability.

*Loyalty Card Analysis:*

Analyze sales by customers with and without a loyalty card using a stacked bar chart to show the impact of loyalty programs on sales.

*Size-wise Sales Analysis:*

Explore the sales performance of different product sizes (0.2 kg, 0.5 kg, etc.) using a column chart. This can help in understanding consumer preferences for package sizes.