Today, technology is spreading across many industries and making work easier. Spreadsheets are no longer used to store and display data. Data collection, analysis, and presentation are all done using visualization tools.
Categorical data have been difficult to understand. The introduction of the best graphs for categorical data has greatly simplified the procedure. These graphs conventionally display the data. Most graphs accept different colors to ensure that the reader fully understands the graph. By including colored graphs, 80% of readers are likely to read and understand the graphs while 39% of people will remember them.
What is Categorical Data?
Categorical data represent different sorts of data you can group into different categories. Most of the time, despite having various numbers, you need to figure out what they imply. Categorized data fills in this gap by giving the context of the figures and making them simpler for you to comprehend.
Consider if numerals like 6, 9, and 10 are just that number, and you cannot comprehend their significance. However, if there are 6 women, 9 men, and 10 children, it is clear what the number means. Sex, educational attainment, race, and age group are some prominent instances of categorical data.
Importance of Visualizing Categorical Data
Categorical data visualization keeps growing better as technology advances. It is now a quicker and more efficient means of communication as well as a tool for motivation. Why, then, do graphs and charts offer more effective communication?
The primary explanation is that the human brain is designed to comprehend visual clues more quickly than textual information. Because of this, categorical data visualization is crucial.
Visual data processing can be processed more quickly and easily than text does. It has become easier thanks to improved visualization tools that produce high-quality data and offer a variety of themes and adaptable designs. The human brain is built to recognize and comprehend images more quickly. The brain finds it easier to process visual images.
It provides useful suggestions
Utilizing categorical data visualization can assist your company in identifying areas for improvement or potential solutions. Actionable items assist in identifying corporate successes and other areas that need improvement.
Increases sales and productivity
Results are better when you can visualize your business data. Daily report creation takes a lot of effort. However, data visualization reduces that time waste for the business. Visual data tools are used by organizations that are more successful than others. It enables them to obtain the information they require faster.
The majority of firms that use data visualization can reap the benefits. Each year, they also take the lead in investments and earnings.
It supports Visual Learners
The majority of information that the brain can visualize more quickly is visual. The majority of students today learn best visually. The pupils can learn the information presented more quickly using data visualization tools.
The spreadsheet era has been replaced by charts and graphs, which portray data. Compared to spreadsheets, they are simpler to read and comprehend. Using these data visualization tools can be quite advantageous for anyone in the corporate world.
What are the Best Graphs for Categorical Data?
When it comes to categorical data, you need the greatest graphs that portray the data to high standards if you want superior results. The graph should be simple to read or write down. There are many graphs now that technology has advanced. Are they the same, though? Can they accommodate all of your needs?
Here are the top graphs for categorical data that you can use to record.
As the name implies, hierarchical data is typically represented by this form of a sun graph. The data is displayed by breaking it into sections and plotting each section on a graph with a ring shape. The graph is divided into three parts: the hierarchy, the ring, and the central circle.
You can only display data from a single dimension using a pie chart. However, circle packing reveals a wide range of data dimensions. Each level of the hierarchy depicts a separate circle or ring. The innermost ring represents the highest hierarchy.
A sunburst chart without hierarchical data is equivalent to a donut chart. Demonstrates the relationship between the inner and outer rings using a sunburst with various levels. The diagram illustrates the breakdown of one circle into other supporting pieces.
A typical style of graph used to display categorical data is the Treemap. Each of the hierarchical data is represented by nested rectangles. It uses the data visualization approach to make this graph.
The data is presented using a tree-like structure in a Treemap chart. For representing data, the tree has rectangular branches and sub-branches. It has various colors and sizes, and each rectangle has two numerical values.
You can design a variety of levels to utilize in the Treemap chart. They will make it simpler to distinguish between different categories and data. This graphic represents the most effective visualization of numerical data.
Stacked Bar Chart
The type of bar graph also called a stacked bar graph, is used to display categorical data. The chart separates several pieces and contrasts them with the entire part. Each bar in the chart represents one whole bar. Additionally, it features segments to symbolize other pieces of the entire.
To distinguish the many categories in the bar, utilize various color schemes.
Sankey charts are specialized graphs that show how energy, money, and materials move through a flow diagram. It displays the item in proportion to its quantity. The graphs highlight the biggest purchases, losses, and flow for the reader.
You can use different colors to guarantee that the reader understands the proportions, and various colors support the chart. When using these charts, they may include links. The graph’s link joins several nodes together. You can utilize the link only once between two nodes.
Supply chain management, energy efficiency, production systems, and marketing analysis are a few areas where Sankey charts are frequently employed. These businesses favor this kind of graph due to the distinctive way it displays data.
Another kind of hierarchical chart is the crosstab chart. One can be created by simply stacking neighboring bars on top of one another. When it comes to hierarchical data presentation, it is among the finest. A plain bar on the main bar serves as a representation of the many levels.
You are only permitted to display one dimension using a bar chart. However, a crosstab allows you to display as many dimensions as you like. A multi-level crosstab chart illustrates the relationship between the right and left bars.
Most businesses have switched to charting categorical data over the last few years for better analysis. One of the key reasons to do this is that graphed data is simple to analyze, evaluate, and determine the company’s performance. A market leader in data visualization, VisioChart, is gradually gaining ground. It is one of the best tools for your organization if you want to visualize data. Additionally, it has many graphs that you may use to exhibit categorical data in a uniform manner
What graph is best for Categorical data?
There are numerous categorical data graphs on the market right now. Depending on your demands, every graph has a different set of features. For categorical data, a crosstab chart is consistently the best graph.