Data visualization is not easy if you choose to do it based on your instincts and understanding. The application of charts and graphs into the process is basically meant to make the process simpler and save time. When talking of some of the best data visualization tools, radar charts are always at the top of the list. A radar chart is one of the best data visualization tools that you can easily adapt and use based on your needs.
When you want to compare a group of data variables, a radar chart has all the features that you need to get the job done. If you are capable of reading and translating the chart, you will be better positioned to compare the general performance of different segments within your business. A radar chart offers an incredible mode of data visualization that every data analyst and digital marketer requires in order to extract meaning from the datasets.
Even though a radar chart is at the top of the list when it comes to data analysis, not everybody knows how to use it. It is high time that data analysts should learn the art of using this tool to visualize the data and extract the underlying concept. This guide offers you the details you need to know when using a radar chart for data analysis.
What is a Radar Chart?
A radar chart refers to a graphing method of data in a two-dimensional diagram when dealing with multiple data variables. You can use the chat when you want to graph a single group of data variables or when you want to compare multiple data groups that originated from the same data variable. When graphing the data points, you need to ensure that they all originate from the central data point. Gridlines are used when you want to connect the axes on the graph, making it easier to read.
When you connect all the data groups outlined on the chart, they form a polygon. When comparing more than one data group of the same chart, you need to utilize different colors to make them different from one another. Considering the structure of a radar chart, it also has other names such as a spider chart, web chart, polar chart, or star plot. When all the data points are connected on the chart, you can easily translate the data outcomes and make reliable conclusions.
The Application of Radar Charts
Radar charts are applied in different scenarios across industries. They are mostly used to achieve a specific type of data comparison, depending on your personal preference. One of the major areas of application is employee appraisals and reviews. Most company managers and supervisors use a radar chart when they want to give reviews to their employees. The chart is used to compare the performance of an individual employee to the entire work that is done.
The chart can also be used when comparing different products within a company or the market. A radar chart offers business owners a comprehensive room to compare the general performance of their products within the market and the industry. The comparison is done based on specifications or various features that make these products stand out. This is mostly done when a company wants to make changes to the existing product or launch a new product.
Benefits of Using Radar Charts
There are multiple benefits that come with using radar charts in visualizing data. This is not just a matter of basic data visualization as many people perceive it since it comes with multiple added advantages that you also enjoy. Let’s check them out!
- It Makes Data Comparison Faster
A radar chart compares data by laying shapes over one another. Using this strategy makes data easier to compare regardless of the complexity levels. A simple visual comparison of the data presented in the form of polygons enables you to save time and space. The strategy is easier to use compared to the manual method, regardless of the data complexity.
- You can Utilize Different Measurement Scales
With a radar chart, you have the freedom to choose your preferred scale depending on the nature of the data. Contrary to other charts and graphs that require an ideal scale, a radar chart is highly adaptable to any scale used. When you want to compare the general metrics of your sales team, you can choose a scale that is highly variable in measurement. The chart can work effectively regardless of the nature of the scale.
- It Can Compare a Large Number of Variables
If you are looking for a data visualization option that has the capability to compare a large number of data variables, a radar chart is a reliable option. You can feed a large number of data variables in a single chart and generate quality output. As a result, it becomes easier for you to compare large data sets without the chart appearing cluttered.
How to Create a Radar Chart?
Creating a radar chart is not a daunting task, as many people perceive it. Below are some of the basic guidelines that you need to consider.
- Identify the Most Suitable Data Range
Before making any step, you need to ensure that all your data values are already typed into Microsoft Excel. Remember that Excel is the only reliable option that is available, especially when you want to come up with a unique and quality data output. It’s also a user-friendly option that does not involve a lot of technicalities.
- Select a Radar Chart
Once you have verified the accuracy of your data values, it’s now time to create a radar chart. Click on the Insert button on the top toolbar and click on other charts. Here, you will find different radar chart options and pick on what suits you.
Excel will only generate a radar chart using the information presented to it. The chart will come out with all the outlined essential parts needed. However, you can go the extra mile and customize it based on your personal preferences and the objectives you intend to achieve.
Conclusion
A radar chart is one of the simplest options available for data visualization. When you want to compare multiple data sets, this is the most ideal option that has all your basic necessities covered. All you need to do is to ensure that you have accurate data values that you intend to use. Excel takes over the remaining complex task of doing the data analysis work and creating the chart.
