![]() ![]() Here is a quick explanation of each formula starting in column C: The chart uses a few columns of formulas to calculate the amounts for the invisible columns and variances used for the error bars and labels. You can just download the example file and plug in your own data. However, you don’t have to create the chart. I explain the steps to create the chart below, which will also help you learn more about the different chart elements and techniques available to us. It does require a few columns of formulas to create the source data for the chart columns, error bars, and data labels. Even though we have made several iterations, this should still help you learn how to use the different chart elements to get creative with your charts. The rest of the article explains how to create the original chart. You will learn a lot and improve your skills faster when you do. The look of a chart is a highly subjective matter anyways, so don't be afraid to publish. You will get new ideas as you gather feedback from your audience (boss, co-workers, colleagues). We don't always get it perfect the first time we create a chart, and that is OK! I'm showing all the chart iterations to help you see the process for improving our charts. You can read Jon's full article on this combo chart solution over at the PeltierTech blog. This puts the data points and their vertical error bars between the data columns for revenue. Instead, he used an invisible data point for the XY scatter and 0.5 increments for the X-axis data. This is another great solution because we don't need the invisible error bars. This solution uses a combo chart with an XY Scatter for the error bars. The 4th solution came from my good friend and charting master, Jon Peltier. This macro can be called with the Worksheet_Change event to update the chart every time the source data changes. The macro also changes the font color of the data labels. The 3rd solution came from Wayne Edmondson and uses a macro to move the data labels above/below the positive/negative error bars. The 2nd video above explains more about this solution. You do NOT have to change the label position for the negative bars for this solution. I believe this will be the most popular choice. I've included it in the example file that you can download above on the ‘Conditional Format' sheet. I created this alternative based on a suggestions from Conor and Wayne on the YouTube video. This allows us to change the formatting of the positive and negative bars individually. Iteration #2įor the 2nd iteration the positive and negative error bars use a separate series. The article below also explains how to create this chart step-by-step. ![]() ![]() I explain it in more detail in the first video above. This allowed us to display both positive and negative change between periods. The original solution used an invisible series between the data columns, with error bars that sat above the column. We originally had some great feedback from Conor Foley and Wayne Edmondson. This chart has gone through several iterations since I first published it. There are many ways to go about this, including displaying the variances on a separate chart. When creating simple column charts for trends, we almost always want to see the amount or percentage change between each column. I like how they displayed the variances between years, and decided to recreate it in Excel. This post was inspired by a chart I saw in an article on Visual Capitalist about music industry sales. Column-Chart-with-Percentage-Change.zip Download The Column Chart with Percentage Change ![]()
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