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Double Bar Graph

A double bar graph is a powerful visual tool that can help you quickly understand and compare data. It’s an efficient way to display two sets of information side by side.

In this blog post, we’ll take a look at what a double bar graph is, some benefits and design tips.

(related topics)

Table of Contents

What is a double bar graph

A double bar chart is a type of graph that can be used to compare two different categories or data sets. It displays the data in bars, with each bar representing one of the values being compared. The length of each bar shows the magnitude of the difference between the two values. A double bar chart can be used to compare anything from sales figures to survey responses.

Oftentimes, the values for each x-value are plotted side-by-side. This makes it easier to compare and contrast the two sets of data, as well as identify any trends or relationships that exist between them.

Design Tips

When designing and creating a double bar chart, for example when embedding to a presentation, there are some key design tips that should be followed. It’s important to make sure the bars are easy to read and understand, with clear labels on each bar. The colors used in the chart should also be carefully considered so they contrast enough to clearly differentiate between the two sets of data being compared. A semi-transparent grid in the background of your double bar chart can help draw the attention of viewers to the important points of data.

Examples of Interesting and Creative Uses for a Double Bar Graph

Double bar graphs can be used in all kinds of creative ways, both within business settings and outside them. For example, you could use one to compare different customer feedback surveys, or to track changes in market share over a period of time. You could also use them to compare the results of different marketing campaigns, or to analyze trends in employee engagement levels.

Axis Line Recommendations

Since you are comparing two sets of data, it’s important to include axis lines in your double bar chart. The axis lines should clearly delineate the two different values being compared, which will make it easier for viewers to understand exactly what is being shown.

Remember, you can’t have multiple axis on a double bar chart (in 2d at least) so make sure that the data you are comparing is on the same scale.

Best Practices For Analyzing

When analyzing your double bar chart, it’s important to remember that the length of each bar provides an indication of magnitude. You can use this to compare the two values and draw conclusions about them. Additionally, it’s helpful to use a trend line when comparing two different sets of data. A trend line shows the overall direction of the data, and can help make it easier to spot patterns or changes in your data over time.

Double Bar Graph Generators

Creating a double bar graph doesn’t have to be difficult. In fact, most data software (such as Excel, Google Sheets, and Tableau) can generate double bar graphs with a few clicks. For those who are more comfortable with code, there are also several libraries that make it easy to create dynamic double bar graphs in JavaScript or Python.

Canva has a free bar graph tool if you are looking for something with a bit more flair. Alternatively if you are looking for a custom creation, consider hiring a graphic designer or studio to add some flair to your pitch. Here’s Jon’s option:

Templates

If you don’t want to start from scratch when creating your own double bar graph, there are many different templates available online. You can find templates in Excel, Google Sheets, or any other spreadsheet software of your choice.

Sharing Results From Your Graph

Once you’ve created and analyzed your double bar graph, you may want to share it with others. There are several ways to do this, such as embedding the graph in a presentation or exporting it to a document. 

If you have created your graph in Excel or Google sheets you can easily save these as an image to embed elsewhere. 

Looking to spice up your data? Jon’s data visualization packages include static (high-resolution) creations or HD and 4k video animations. Learn more here.

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