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#Excel for mac line chart add secondary axis series

of Jackets sold and Average Temperature are data plotted as a clustered chart only.

Step 3: Now, your chart should like this. Step 2: Select the data and insert a new column chart. Step 1: The dataset should look like this. We need to plot a graph, see when are the highest sales happened and find the reasons. In this example, I will show you the sale of leather jackets in the last 12 months with the temperate data.ĭata includes the sales of leather jackets against the average temperature data for the last 12 months. In the previous example, we have seen the combination of sales, COGS, and profit margin. In the year 2013, COGS is more and profit comes down drastically.

From the year 2013 to 2016, revenue is constant, but profit fluctuated due to variance in COGS.

In terms of profit margin, the year 2008 has given a profit percentage of 66.50%, which highest in terms of percentage.

It has reached its peak sale in the year 2012, i.e.

Sales have fluctuated throughout the last 10 years.

Below are some of the important observations of the above chart. Now you must be thinking about what the use of the combination chart is. I have changed according to my preferences, and combo charts looking like this in Excel. You can change the line color and column bar colors according to your wish. Step 11: It will give us the below combination chart. Step 10: In the same window, change the chart type of both COGS & Profit to Line chart as shown in the below image. (Excel must have selected this option by default). Step 9: Now, you will see the Change Chart Type dialogue box.

#Excel for mac line chart add secondary axis series

Right-click and select Change Series Chart Type. Step 7: Now, your chart should look like this. Step 6: Select the Year list here. Click on OK to complete the process. Step 5: Now click on EDIT on the right-hand side, i.e.

Step 4: Firstly, remove Year from the below window. Step 3: Right-click on the chart and select Select Data. Step 2: Now, your chart should look like this.