Excel Tutorial: How To Merge Two Graphs In Excel


Excel is a powerful tool for creating and analyzing data, and one of its most commonly used features is creating graphs and charts to visualize data. Sometimes, you may need to merge two graphs in Excel to compare and analyze data more effectively. This tutorial will show you how to merge two graphs in Excel, allowing you to easily visualize and understand the relationship between different sets of data.

Being able to merge graphs in Excel is important because it allows you to compare and contrast multiple data sets within the same chart, making it easier to identify trends, patterns, and relationships. Instead of having to flip back and forth between different charts, merging graphs in Excel can help you gain a more comprehensive understanding of your data at a glance.

Key Takeaways

  • Merging graphs in Excel allows for effective comparison and analysis of data sets.
  • Creating visually appealing graphs in Excel can be achieved through customization and attention to design elements.
  • Merged graphs in Excel are useful for presenting data comparisons, showing trends and patterns, and visualizing multiple data sets in one graph.
  • Consistent formatting, clear design, and avoiding clutter are important tips for creating visually appealing graphs in Excel.
  • Practice and exploration of Excel graph features is encouraged to further enhance data visualization skills.

Understanding Excel graphs

When working with data in Excel, it is often useful to visualize the information using graphs. Excel offers a variety of graph types to choose from, allowing you to select the most appropriate one for your data set.

A. Different types of graphs in Excel
  • Column and Bar graphs

    A column graph is used to represent data in vertical columns, while a bar graph is used for horizontal representation. These types of graphs are commonly used to compare categories of data.

  • Line graphs

    Line graphs are ideal for showing trends over time or for displaying continuous data sets. They are effective for illustrating changes or patterns in the data.

  • Pie charts

    Pie charts are circular graphs that display the proportion of each category in relation to the whole. They are useful for showing the distribution of data.

  • Scatter plots

    Scatter plots are used to display the relationship between two variables. They are helpful for identifying correlations or patterns in the data.

B. How to create a graph in Excel
  • Selecting the data

    To create a graph in Excel, start by selecting the data you want to include in the graph. This can be done by clicking and dragging over the cells containing the data.

  • Inserting the graph

    Once the data is selected, go to the "Insert" tab in the Excel ribbon and choose the type of graph you want to create. Click on the graph type and select the specific style from the dropdown menu.

  • Customizing the graph

    After the graph is inserted, you can customize it by adding titles, labels, and legends. You can also change the colors, styles, and formatting to make the graph visually appealing and easy to understand.

  • Updating the graph

    If the data in your Excel sheet changes, you can easily update the graph by right-clicking on it and selecting "Edit Data." This will allow you to modify the data range and instantly see the changes reflected in the graph.

Merging two graphs in Excel

When working with data in Excel, it's common to create multiple graphs to represent different aspects of the same data set. However, there may be times when you need to merge two graphs together to create a single, comprehensive visualization. Here's how you can do that:

A. Selecting the two graphs to merge

  • B.1. Open the Excel workbook containing the graphs you want to merge.
  • B.2. Click on one of the graphs to select it.
  • B.3. While holding down the "Ctrl" key, click on the second graph to select it as well.

B. Using the "Chart Tools" to combine the graphs

  • B.1. With both graphs selected, the "Chart Tools" tab will appear in the Excel ribbon.
  • B.2. Click on the "Chart Tools" tab to reveal the "Layout" and "Format" options.
  • B.3. In the "Chart Tools" tab, click on the "Design" or "Format" option, depending on your Excel version, and look for the "Combine" or "Merge" option. This will allow you to merge the selected graphs into a single chart.

C. Adjusting the layout and design of the merged graph

  • C.1. Once the graphs are merged, you can adjust the layout and design of the new combined chart to suit your needs. This includes changing the axis titles, adding or removing data series, and modifying the chart style and color scheme.
  • C.2. You can also add labels and annotations to the merged graph to provide additional context and clarity to the visualization.

Customizing the merged graph

Once you have successfully merged two graphs in Excel, you may want to further customize the appearance and layout of the merged graph to suit your specific needs.

  • Changing the colors and styles
  • Excel offers a variety of pre-set color schemes and styles for graphs. To change the colors and styles of your merged graph, simply select the graph and navigate to the "Chart Tools" section on the Excel ribbon. From there, you can experiment with different color combinations and styles until you find the one that best represents your data.

  • Adding labels and titles
  • In order to make your merged graph more informative, it is important to add appropriate labels and titles. You can do this by selecting the graph and going to the "Chart Elements" option in the Excel ribbon. From there, you can add titles, axis labels, and data labels to ensure that your audience can easily interpret the graph.

  • Adjusting the axes and scales
  • It is crucial to ensure that the axes and scales on your merged graph accurately represent the data being plotted. To adjust the axes and scales, select the graph and then right-click on the axis you want to modify. From there, you can change the scale, format the axis, or add a secondary axis if needed.

Tips for creating a visually appealing graph

When creating graphs in Excel, it’s important to keep in mind the visual appeal of the final product. This not only makes the graph more attractive, but also helps convey the information more effectively to the audience. Here are some tips for creating visually appealing graphs:

Using consistent formatting

  • Consistent color scheme: Use a consistent color scheme throughout the graph to make it look cohesive and visually appealing. Avoid using too many contrasting colors that may distract the audience.
  • Consistent font style and size: Choose a clear and easy-to-read font style and size for labels, titles, and data points. Consistency in font style and size helps maintain a clean and professional look.
  • Consistent axis and grid lines: Ensure that the axis lines and grid lines have consistent formatting, such as color and thickness, to create a uniform visual structure in the graph.

Choosing a clear and easy-to-read design

  • Clear labels and titles: Make sure that the labels and titles are easy to read and understand. Use descriptive and concise wording to convey the information clearly.
  • Appropriate chart type: Choose a chart type that best represents the data and makes it easy for the audience to interpret. For example, a bar chart may be more suitable for comparing different categories, while a line chart may be better for showing trends over time.
  • Proper scaling: Scale the axes appropriately to prevent distortion of the data. Avoid using unusual scaling that may misrepresent the data.

Avoiding clutter and unnecessary elements

  • Remove unnecessary elements: Eliminate any unnecessary elements such as excessive gridlines, legends, or data labels that may clutter the graph and distract the audience from the main message.
  • Use white space effectively: Allow for adequate white space around the graph elements to prevent overcrowding and improve readability.
  • Minimize visual distractions: Avoid adding too many decorative elements or embellishments that may detract from the main data points and make the graph visually overwhelming.

Practical applications of merged graphs

Merging two graphs in Excel can be a powerful way to present and analyze data. By combining multiple sets of data into one visual representation, you can easily compare, analyze, and identify trends and patterns. Below are some practical applications of merged graphs:

A. Presenting data comparisons
  • Comparing different time periods: Merging two graphs can be useful when comparing data from different time periods. For example, you can merge graphs to compare sales figures from two different quarters or years.
  • Comparing different variables: Merged graphs can also be used to compare different variables, such as revenue and expenses, to identify any correlations or discrepancies.

B. Showing trends and patterns
  • Identifying correlations: Merged graphs can help in visualizing correlations between different sets of data, making it easier to identify trends and patterns.
  • Highlighting outliers: By merging graphs, you can easily spot any outliers or anomalies in the data, which may not be as apparent when looking at separate graphs.

C. Visualizing multiple data sets in one graph
  • Comparing multiple variables: Merging graphs can be useful when you want to compare multiple variables simultaneously, providing a clear visual representation of the relationships between the variables.
  • Presenting a comprehensive view: Merged graphs can help in presenting a comprehensive view of the data, especially when there are multiple data sets that need to be analyzed together.


In conclusion, merging two graphs in Excel is a useful feature that allows you to compare and analyze data more effectively. By following the steps outlined in this tutorial, you can create visually appealing and insightful graphs for your presentations and reports.

We encourage you to practice and explore more Excel graph features to enhance your data visualization skills. With continued practice, you'll become more proficient in creating compelling graphs that effectively convey your data's message to your audience.

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