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With the world producing over 2.5 quintillion bytes of data daily, data visualization charts are crucial in the modern world.
Your company must monitor a variety of critical indicators to be successful. That includes website metrics, sales organizational effectiveness, marketing campaign performance, and product adoption rates.
It can help you improve your business and earn more revenue. As you may already know, it is challenging to curate a valuable business story without data visualization charts. So, where do you start? Understanding the types of data visualization charts can help you make the most use of your business data.
Definition: The graphical display of information and data is known as data visualization. Types of data visualization charts provide an easy way to observe and evaluate trends, outliers, and patterns in data. That is by utilizing visual elements like charts, graphs, and maps.
Data visualization tools and technologies are crucial for analyzing vast volumes of information and making data-driven decisions. Which types of data visualization charts work best? Stay put if you want to learn more.
Data curation into an understandable form, emphasizing trends and outliers, and data visualization charts all help to convey stories. A good visualization highlights vital information while reducing the unnecessary noise from the data.
You must use the appropriate categories of data visualization charts and graphs if you want your data story to gain support immediately. Remember that your data is silent without accompanying stories to engage the target audience’s emotions.
Straightforward and simple-to-read data visualization graphs are at the core of engaging data storytelling.
A straightforward Bar Graph or Pie Chart is probably the first idea when you think of data visualization charts. These are crucial data visualization charts and a common starting point for many data graphics. However, a proper visualization needs the right set of data.
There are numerous visualization techniques available for efficient and creative data presentation.
Sankey Diagrams have directed arrows with a width proportional to the flow quantity represented: if a pointer is twice as broad, it indicates twice as much flow. Energy Flow Diagrams, materials, water, or costs.
A Sankey Chart always shows the directed flow between at least two nodes (processes). As a result, it displays not only values but also details about the distribution and structure of the specified system. It is, therefore, a fantastic alternative to Bar and Pie Charts or standard Flow Charts.
A Likert Scale Chart is an equally spaced scale on which respondents select their level of agreement or disagreement. It can gauge consumer satisfaction or problems with a particular product or service.
Bar Graphs are one of the best tools for comparing objects within different groups. In a Comparison Bar Chart, bars representing different parts of the same category are arranged next to one another. It’s an excellent approach to compare the data graphically.
It also makes it easier for you to track how these things change over time. Bar Graphs would be most effective if the items’ changes over time are substantial.
A Gauge Chart, Dial Chart, or Speedometer Chart is a style of data visualization chats used to present a single data value quantitatively. Users of Gauge Charts can see how a KPI is doing to a target by utilizing a colored data range.
As the name suggests, a Multi-Axis Line Chart is an interactive line chart that you can set up for several axes. Multiple y-axes can be displayed in a single chart thanks to a unique graphic style. You can plot many data sets with various units using a Multi-Axis Line Chart, which is advantageous.
For instance, a chart might have three axes with numbers 0 to 1 on one. Then 1 to 100 on another, and 1 to 1000 on a third axis.
The Sunburst Diagram uses several concentric circles to show hierarchical concepts. The Sunburst Chart’s circles represent different levels in the hierarchy of the data items. Additionally, each ring is proportionally divided into parts to depict those details, making it a versatile Circular chart that effectively visualizes complex data relationships.
A Radar Chart displays multivariate data mapped onto an axis and includes three or more quantitative variables. It has a core axis that contains at least three radiating spokes that give it the appearance of a spider’s web.
The values for the data are mapped on these spokes, making it a useful tool in Multivariate Analysis to highlight similarities, contrasts, and outliers for a good, service, or other items of interest.
A Radial Bar Chart is an exceptional bar visualization displayed in polar coordinates instead of a Cartesian plane. Be aware that reading this chart style is similar to reading bar visualization designs.
The circular bars of a Radial Bar Chart represent potential changes in your data variables, just like any other Bar Graph style.
This graph is a graphical representation used to summarize a data set by displaying its central tendency, variability, and distribution. It shows the median, quartiles, and possible outliers, providing a clear picture of data spread and symmetry.
A Dot Plot is a statistical diagram that shows data points on a comparatively simple scale. Despite having a plain appearance, a Dot Plot is a powerful histogram. It’s among the top tools for data visualization charts for large and small data sets. You may evaluate variability, distribution, value, and more using a single chart.
Your data insights are easy to find thanks to the simplicity of the Dot Plot Graph and Scatter Plot. These tools present categorical count data in a way that brings insights to the surface. Make it perfectly which can fit in content.
Types of data visualization charts are relatively simple to create with ChartExpo. The application includes a library with many charts. ChartExpo’s charts like funnel charts are ideal for displaying data in hundreds of beautiful ways.
For instance, you can make charts for print materials like brochures, proposals, school reports, blogs, and more.
This incredibly user-friendly tool provides more information, including Mosaic plots and Area charts, to help you develop your designer’s eye and get the most out of the editor’s capabilities.
So how do you get started? You’ll be adding a cloud-hosted add-on to Google Sheets.
How to install ChartExpo in Google Sheets?
ChartExpo charts are available both in Google Sheets and Microsoft Excel. Please use the following CTA’s to install the tool of your choice and create beautiful visualizations like the Waterfall visualizations chart in a few clicks in your favorite tool.
Sankey diagrams are useful for visualizing the flow of money between different levels. They can help identify areas for improvement or inefficiencies and can be easily understood by a wide audience.
Here we will track income and spending using the Sankey Diagram.
Sample Data
| Income | Budget | Categories | Spending | Amount |
| Salary | Total Income | Federal Taxes | 7126 | |
| Salary | Total Income | State Taxes | 1247 | |
| Salary | Total Income | Local Taxes | 945 | |
| Social Security | Total Income | Spending | Housing | 13497 |
| Dividends | Total Income | Spending | Utilities | 2290 |
| Dividends | Total Income | Spending | Vehicle | 4826 |
| Property | Total Income | Spending | Gas | 2254 |
| Other Income | Total Income | Spending | Food | 1754 |
| Other Income | Total Income | Spending | Eating Out | 495 |
| Salary | Total Income | Spending | Household | 5161 |
| Salary | Total Income | Spending | Insurance | 3260 |
| Salary | Total Income | Spending | Alcohol | 592 |
| Salary | Total Income | Spending | Clothing | 3133 |
| Salary | Total Income | Spending | Entertainment | 414 |
| Salary | Total Income | Spending | Phone | 1587 |
| Salary | Total Income | Saving | 7541 |
Data visualization tools are crucial in big data for analyzing vast volumes of information and making data-driven decisions.
Understanding chord diagrams enhances our ability to interpret data visualization charts, enabling swift recognition of trends and outliers. When we comprehend these diagrams, we internalize visual information more effectively, transforming data into a narrative with a clear goal.
A data-driven world requires new skill sets. Using data to inform the metrics of decisions is becoming increasingly valuable for professionals.
Almost every area of the economy is embracing data visualization charts. Even the music business, which has historically depended on intuition, is moving toward data-driven decision-making. There will always be a need for data visualization charts as long as there is data.
If you want a quick buy-in, you want your audience to be able to understand the significance and context of your data story. Therefore a robust visualization approach must be in place before you can produce an engaging data story.
Using the correct data visualization graphs, you can boost your data story and save daily hours. Finding the right graphic for your data story doesn’t have to be challenging or time-consuming. This is thanks to the types of data visualization charts we have discussed above.
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