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Want numbers to speak? Excel chart data combo
In daily report production, it's common to create charts for multiple indicators. For example, when dealing with sales data, a histogram is often used to represent sales volume, while a line chart can show the growth rate. Traditionally, these would be created as separate charts, which can take up too much space in a document and make it difficult to compare both metrics at once. However, Excel now allows you to combine these into one chart, making the visualization more efficient and intuitive.
One simple way to do this is by overlaying charts. Let’s say you want to display both sales volume and growth rate. Start by preparing your data—separate the sales volume and growth rate columns. Then, select all the data, go to "Insert → Chart → Column Chart," and choose "Combination Chart." From there, you can set the growth rate as a line chart. This automatically groups the two types of data, allowing you to visualize both metrics side by side (Figure 1).
The line chart typically uses a secondary axis, so you can adjust the right-side Y-axis to better represent the growth rate. Right-click on the axis, select "Format Axis," and set the minimum and maximum values to something like -1.5 and -1, depending on your data. This helps separate the line from the bars, making the trend clearer (Figure 2). You can also add data labels to the line chart and choose a dot mark to connect the points, enhancing the visual clarity of the growth rate changes (Figure 3).
Excel also offers other built-in combination charts, such as the composite pie chart. When a category has small data, it might not show well on a regular pie chart. A composite pie chart groups smaller categories together, improving readability. To use this, select your data, go to "Insert → Chart → Pie Chart," and choose "Composite Pie Chart." This combines a pie chart with a stacked bar chart, providing a more complete view (Figure 4).
You can further customize the composite chart by right-clicking on the series and selecting "Format Data Series." Here, you can choose whether to display values or percentages, helping you tailor the chart to your specific needs.
Sometimes, the built-in combinations may not fully meet your requirements. For instance, a composite pie chart may not clearly show differences between data points. In such cases, you can manually create a custom combination by inserting a bar chart alongside the pie chart. Adjust the colors, remove unnecessary elements like legends, and then group the two charts together. This creates a unique "pie + column" chart that isn't available in Excel’s default options, offering a clearer comparison of data (Figure 5 and Figure 6).
Another example involves creating quarterly sales charts for different provinces. Using only stacked column charts may result in overlapping data that’s hard to distinguish. To fix this, you can insert auxiliary columns that help structure the data. For instance, if the total should be 100, you can calculate the remaining percentage in an auxiliary column. This ensures each quarter starts at a consistent base, making the stacked chart easier to read (Figure 7 and Figure 8).
Once the auxiliary columns are in place, select all the data and insert a stacked column chart. Customize the colors for each quarter and hide the auxiliary columns visually. This results in a clean, organized chart that clearly displays sales data for each province across quarters (Figure 9).
By using these techniques, you can create more effective and visually appealing charts that better communicate your data, whether you're working with sales figures, growth rates, or complex datasets.