This is the whole case study of Danny's Dinner project using power-bi Report
I am more focused toward visualizing data in "Danny’s Diner" Data Analyst project:
- Identify Key Metrics and Questions
Metrics: Total sales, average spend per customer, most popular items. Questions: Which customers are most loyal? What items generate the most revenue? What days have the highest sales?
- Prepare the Data Clean the Data: Remove any irrelevant data, handle missing values, and ensure consistency. Aggregate Data: Group by customer, item, and date to create summary statistics like total sales per customer or per item.
- Choose Visualizations Based on Insights Needed Sales Trends: Use a line chart to show daily or monthly sales trends. Top Customers: Use a bar chart to rank customers by total spend. Popular Items: Use a pie chart or bar chart to visualize the proportion of sales by item. Customer Behavior: Use a heatmap to identify peak visit times or sales periods.
- Create Visualizations Tool Selection: Use tools like Tableau, Power BI, or Excel. Design: Focus on clarity—ensure charts have proper labels, legends, and a consistent color scheme to highlight key insights.
- Analyze and Present Insights: Draw conclusions from the visualizations, such as identifying high-value customers or popular items. Presentation: Compile the visuals into a dashboard or report that tells a clear story about the diner’s performance.