What is a Polar chart?
A Polar chart is a two-dimensional data visualisation that uses linear and radial axes to describe data. In the simplest form, it represents the distance from the chart’s center and the angle of orientation with a double-angle, radial-distance chart. Other versions of this intrinsic representation are exceptional cases.
For example, for estimating missing values, points represented by angle, and radial distance can be connected to join lines and points connected with a line and spline-interpolated. Another unique example allows you to combine points together to display three types of data on the chart: group, angle, and radial distance. The data plotted as a group can be plotted as scatter points on the radial axes, or the points can be combined to form a series.
When to Use a Polar Chart?
Knowing when to utilize a certain data visualization technique is one of the most critical aspects of selecting one for your dataset. Polar charts, like other systems, are most effective in certain scenarios.
This section explains when you should use a Polar chart and when you shouldn’t.
When comparing multivariate groups, there are a few things to keep in mind.
A polar chart’s distinguishing feature is its capacity to compare multiple variables at the same time to help you make a decision. To make an inference, you may easily use the cover area of each group of data in the spider web.
A comparison of many goods in general Based on the data, each of the spider chart’s groups will cover a certain area.
You can establish the total statistic of each group at a glance, especially when utilizing the filled radar chart.
Benefits of Using the Polar Chart
- Plotting and comparing several data and variables is possible.
- Great for comparing multiple data sets visually.
- It gives a compelling and visual tale about the dataset that even a layperson can understand.
- They have the ability to compare several sets of data or changes across time. This is one of the many benefits of using polar charts. When compared to other charts, it helps you to study multiple variables with less clutter.
- Polar charts make comparisons simple and quick.
- Because they do not overlap with other variables on the graph, outliers are immediately seen on the polar chart.
- They have the ability to compare variables that are unrelated. For example, in the employee appraisal scenario above, we graded the employees using separate indicators that were unrelated to one another.
Creation of a Polar Chart with Graphina
- It gives you an infographic manner of your data to help you comprehend it better.
- It has 13+ different chart styles, giving you a wide range of options.
- 50+ plus styles to add more attention to your presentation. Graphina contains all the necessary elements.
- It is not only customized for candle charts but also area charts, bar charts, pie charts, and many more are addons to this product.
Steps to Create Polar Chart Using Graphina
Open Graphina you would be seeing various options, choose a Polar graph and drag it to your page.
Next, you’ll want to explore the chart settings. Here, you can change multiple options to customize your chart. You can also resize the chart by adjusting the values. Plus, you have the option to turn the toolbar on or off..
In the label settings option, you can change the colors of the Polar chart, and make it view opaque, you can also select upward and downward colors as per your requirement.
The animation tool allows you to add animation settings to make your videos more lively. You can also control the speed of the animation.
The elements category allows you to add data to the chart, such as open, high, and close values. This makes it easy to customize your chart to your specific needs.
That’s all you need to do for a Polar chart using Graphina. Just 5 easy simple steps and you are done with your task.
Polar charts are widely used to compare and evaluate two or more multivariate datasets in detail. Its visual appeal and ease of usage are two of its primary assets.
Individuals can form conclusions about the superiority of one set of data over another through comparative data analysis. It evaluates performances and creates a visual depiction of each group’s strengths and flaws.
This illustration is usually colorful and gives a great story about the facts. Although useful for data presentation, a line chart can simply be substituted, particularly when undertaking time series analysis.