Unlock powerful insights from your CNFANS spreadsheet by transforming raw data into clear, actionable charts. This guide will show you how to generate graphs to identify your highest cost categories and your fastest delivery couriers.
Step 1: Prepare Your Data
Ensure your spreadsheet is well-organized with clear columns. Essential columns should include:
- Item/Category:
- Cost/Spending:
- Courier Name:
- Delivery Days:
- Date:
- Cost/Spending:
Format your data as a continuous table without blank rows for best results.
Step 2: Visualize Spending by Category
To see which categories cost the most, create a Bar Chart or Pie Chart.
- Highlight the columns containing your CategoryCost
- Navigate to Insert Chart
- For a Bar Chart, ensure "Column chart" is selected. This will clearly show each category's total spending side-by-side.
- For a Pie Chart, it will visually represent the proportion each category contributes to your total spending.
- Customize your chart with a title like "Total Spending by Category" and add data labels for clarity.
- Navigate to Insert Chart
Expected Insight:
Your chart will immediately highlight your top spending areas, allowing you to adjust your purchasing strategy or budget allocation.
Step 3: Visualize Courier Delivery Speed
To compare which couriers deliver fastest, use an Average Delivery Days Chart.
- Create a pivot table or a summary table that calculates the average delivery days
- Highlight the courier names and their calculated average delivery times.
- Go to Insert ChartBar ChartColumn Chart
. - In this chart, shorter bars represent faster couriers. Consider sorting the data from fastest (shortest bar) to slowest.
- Title the chart "Average Delivery Time by Courier".
Expected Insight:
This visualization provides an at-a-glance comparison of courier performance, helping you choose the most reliable and speedy shipping option for future orders.
Advanced Tips & Combined Analysis
- Trend Over Time:
- Cost vs. Speed Scatter Plot:
- Dashboard View:
- Regular Updates:
- Cost vs. Speed Scatter Plot: