Displaying insights into two different key variables in data is easier said than done.
You can easily be overwhelmed or get lost in the sea of data with multiple varying metrics. The number of charts you can use to visualize data is vast. Also, the odds of using the wrong charts to visualize complex data are high.
One of the best-suited visual analytics charts for comparing two sets of data is the Multi Axis Line Chart.
This chart can save you space and make your data visualization dashboard lean. In other words, it can perform a task usually done by two different charts.
However, Excel lacks ready-to-go and visually stunning Multi Axis Line Charts.
Yes, you read that right.
You actually don’t have to do away with Excel. You can supercharge the application by installing a particular add-in to access the ready-to-use and visually appealing Multi Axis Line Chart.
In this blog, you’ll learn the following:
Before jumping right into the blog’s core, we’ll address the following question: what is visual analytics?
Visual analytics entails displaying insights into data using charts, maps, and graphs.
The aforementioned visual illustrations can help you identify patterns, trends, and relationships that exist in data. Also, you can use the resulting insights to make data-driven decisions. A visual analytic tool is vital, especially when crafting data stories for the top management.
Top management personnel can use data presentation charts, such as Multi Axis Line Graphs, as a support for their decision-making process.
In the coming section, we’ll address the benefits of visual analytics software.
The key purpose of a visual analytics tool is to make sense of the data and use the resulting insights for the organization’s strategic benefit.
You agree raw data is of less use.
By leveraging visual illustrations, everything becomes clear for audiences at all levels.
Check out more benefits
Data storytelling can help you connect with potential readers and audiences on an emotional level.
In the coming section, we’ll go through the applications of visual analytics tools.
You can use the insights of a visual analytics tool as the backdrop for your final decisions.
Charts and graphs eliminate much of the guesswork from planning marketing campaigns, choosing what content to create, developing products, and more. Besides, you get a 360-degree view of your customers, which can help you to better meet your needs.
About one or two decades ago, you could easily sell a standard set of products and services to customers.
Today’s market craves products and services that can meet their individual needs.
One of the applications of visual analytics tools is keeping track of your target market’s tastes, preferences, and needs. You can leverage data from various attributions, such as social media and websites to create a reliable persona for the market.
In today’s world, customers have a broader range of choices.
If your business is not aligned with the customers’ desires and expectations, you can easily find yourself in a downward spiral. Customers change their minds as they are continuously exposed to new information in their purchasing journey.
With the vast amount of data, it’s practically impossible for you to make sense of all the changes in the market.
A visual analytics tool can provide you with answers about the changing behavior of the market. You can easily point out significant shifts in tastes and preferences by using charts.
Timely awareness of the change in customer behavior can be the decisive factor in the current competitive landscape.
Keep reading because, in the coming section, we’ll cover how to create charts using visual analytics tools.
Plotting insights into your raw data is challenging, especially if you don’t have the right visualization tool.
Excel is a trusted data visualization tool because it’s familiar and has been there for decades.
But the spreadsheet application should not be your go-to visual analytic tool, especially if you want to harness high-level insights.
This freemium spreadsheet tool lacks ready-made and visually stunning visual analytic charts, Multi Axis Line Graphs.
We understand switching tools is not an easy task.
This is why we’re not advocating you ditch Excel in favor of other expensive data visualization tools.
There’s an easy-to-use and amazingly affordable visualization tool that comes as an add-in you can easily install in your Excel ready-made visual analytic charts. The tool is called ChartExpo.
So, what is ChartExpo?
ChartExpo is an incredibly intuitive add-in for Excel you can easily install.
With a lot of ready-to-go visualizations, the visual analytic tool turns your complex, raw data into compelling, easy-to-digest, visual renderings that tell the performance review stories in real-time.
In the coming section, we’ll take you through how to use ChartExpo to create visualizations in your Excel for compelling data stories.
You don’t want to miss this!
This section will use a Multi Axis Line Chart (one of the tested and proven visual analytic graphs) to display insights into the table below.
| Year | Purchase | Sales | Expenses | Profit |
| 2016 | 100,000 | 150,000 | 30,000 | 20,000 |
| 2017 | 60,000 | 100,000 | 30,000 | 10,000 |
| 2018 | 140,000 | 200,000 | 38,000 | 22,000 |
| 2019 | 120,000 | 180,000 | 54,000 | 6,000 |
| 2020 | 130,000 | 200,000 | 56,000 | 14,000 |
| 2021 | 130,000 | 180,000 | 40,000 | 10,000 |
To install ChartExpo into your Excel, click this link.
In the coming section, we’ll go through visual analytics best practices.
Before displaying your raw data in a visual analytics chart, clean it. Yes, sparkling clean. What’s data cleaning?
Well, it’s the process of filtering out any anomalies or inaccuracies within your data. This process is essential because inaccuracies can distort the resulting insights.
Create visualizations that resonate with your audience.
And this means you’ve got to roll up your sleeves and do in-depth research on them. Specifically, focus on their interests, fears, and motivations to win them.
Use a visual analytics tool that generates custom-specific charts for your audience. By doing this, you’ll create charts with a strategic purpose that answers a specific question and can easily be understood by the audience.
Once your data is clean and ready, select the best visual analytics chart that complements your data story. Use charts that not only suit your data story seamlessly but are easy to read and interpret.
The purpose of visual analytic tools is pretty clear.
It is to make sense of the data and use the information for your benefit. That said, data is complicated, and it gains more value when it gets visualized.
Essentially, without visualization, it’s challenging to communicate the data findings quickly. Or identify patterns to pull insights and interact with the data seamlessly.
Select the best chart for your data story based on the attributes of the data and, most importantly, your goals.
It’s needless to reiterate that a visual analytics tool empowers us to identify patterns, trends, and outliers in our data quickly.
So, you need labels to describe your insights.
You don’t want your audience to struggle to determine the head or tail of your chart. You want them to cherry-pick insights right away as they flow with your data story.
Irrespective of whether you’re describing an experimental setup, introducing a new model, or presenting new results, data cannot speak for itself.
You need captions to help your audience understand the context of your visualization right away. The caption explains how to read and interpret your chart. More so, it provides additional information about missing variables.
The key purpose of a visual analytics chart is to make sense of the data and use the resulting insights for the organization’s benefit.
You agree raw data is of less use.
By leveraging charts, graphs, and map applications, everything becomes clear for audiences at all levels.
Reliable spreadsheet applications, such as Excel, lack ready-made visual analytics charts, such as Multi Axis Line Graph.
This does not mean you should do away with the spreadsheet application. You can supercharge its usefulness by installing the ChartExpo add-in to access ready-to-go visual analytics charts for your data stories.
Showcasing insights into two different key variables in data is easier said than done.
You can easily be overwhelmed or get lost in the sea of data with multiple varying metrics. The number of charts you can use to visualize data is vast.
More so, the odds of using the wrong charts to visualize complex data are high.
One of the best-suited visual analytics charts for comparing two sets of data is the Multi Axis Line Chart. And this chart can save you space and make your data visualization dashboard lean. In other words, it can perform a task usually done by two different charts.
However, Excel lacks ready-to-go and visually stunning Multi Axis Line Charts.
So, what’s the solution?
We recommend you install third-party apps, such as ChartExpo, to access ready-to-use visual analytic charts and graphs in Excel.
ChartExpo is an add-in for Excel that’s loaded with insightful and ready-to-go visual analytics charts. You don’t need programming or coding skills to use ChartExpo.
Sign up for a 7-day free trial today to access ready-made visual analytics charts that are easy to interpret and visually appealing to your target audience.
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