Coolest Data Visualizations: The World’s Most Interesting Charts
Data visualization is operating at the core of all data-related operations. Data mainly drives most operations across the globe to enhance accuracy and efficiency. This has contributed significantly to the availability of the coolest data visualizations that aid various processes within different industries. The reality is that there is no business that can run smoothly without data visualization.
Every organization uses data visualization to supercharge its operations to ensure everything runs in the right direction. As the technology sector continues to expand, the amount of data generated today is expected to be doubled within the next three years. This data does not have any definite meaning unless it has been keenly analyzed and a comprehensive report generated out of it.
When analyzing your data, you need to incorporate creative data visualizations to make your work unique and attract prospects from different localities. As a business owner, taking some of your time and evaluating some of the world’s most interesting charts you can utilize in your business activities is essential. The fun part is that multiple types of charts and graphs are available, making it difficult to make the right choice.
Do you know some of the world’s most interesting charts? The truth is that there are many interesting charting options that you can choose, but you need to have a basic understanding of every chart type to make the correct option. This article covers a series of interesting charts you need to learn how they operate. Let’s walk together!
● Column Chart
A column chart is the best charting option for displaying comparisons in your data. It’s used to showcase a comparison of data over a particular duration. You can use the column chart to evaluate your revenue on every landing page in a business setting. The chart can also be applied if you want to compare the behavior of different customers who enter your business.
Since column charts display data in a vertical format, it’s the best option to showcase the changes that occur in the data. Besides, column charts are the best option when visualizing negative data. For instance, when you are researching the number of accidents that take place on the shop floor within a given month, you can outline your figures on a column chart to depict any changes that take place.
When displaying data in a column chart, you can easily detect possible changes that occur in your data. The changes are easy to determine since everything is clearly brought to the limelight, and you don’t need any form of technical skills to interpret the results outlined in the chart. When creating the chart, you should ensure that you are using consistent colors throughout the chart.
Choose an accent color that will help you highlight essential data points in your data sets. Also, utilize horizontal tables to enhance readability.
● Dual Axis Chart
The dual Axis Chart operates by plotting data using two different y-axes and a common x-axis. The chart accommodates an average of three data sets. One of the data sets is available in a continuous format, while the others are used for grouping purposes. The dual Axis Chart is mostly used when you want to display correlation in your data.
In addition, the chart can be of great assistance when you want to evaluate the relationship between different data sets. Also, you can utilize it to compare and evaluate trends in your data sets. When the chart is implemented effectively in a business setting, it can help identify the revenue that every customer brings to the business.
The data generated from the chart helps to analyze the connection between the number of customers and the increase in revenue recorded by the business. The chart can also be applied when you want to compare the volume and price of your products. Besides, it’s also a good choice to analyze your business’s sales and profit margin.
When plotting a dual-axis chart, ensure that the y-axis is on the left-hand side to depict the primary variable. This is a common practice since the nature of the human being is naturally inclined to look on the left-hand side. Utilize contrasting colors in your chart to make everything clear.
● Bar Graph
A bar graph is the most common chart type you can use to analyze and present your data. However, you should only prioritize using a bar graph if you have less than ten data items you intend to compare. The chart is easy to read and understand since everything is outlined straightforwardly so that you can easily read and understand without wasting time or calling for interpretation.
The graph is good in helping you compare data between various groups or track change over a given time frame. A bar graph is a nice choice to showcase bugger chances that can be easily seen. It helps you understand the group of data larger than the other. You can use the chart to evaluate traffic recorded by your business within a given time frame.
You can also use it in matters of product comparison, marketing conversions, product usage, and marketing traffic within a given duration. Ensure that you use horizontal labels to enhance readability. Also, ensure that the y-axis begins at 0 to make it easier to reflect all the values in your graph.
When creating the chart, use consistent colors and accent colors to identify all the meaningful data points.
● Line Graph
A line graph is used when you want to detect trends or the progress of your business over a particular duration. It can display various data categories simultaneously and bring everything on display. Line graphs are popularly known for helping business owners to track changes within a longer duration. They are good when you want to display smaller changes that have occurred in your data.
In addition, you can use it to showcase how different groups of data are related to each other. You can also use a line graph to compare changes for more than one group within the same duration. The data can help you analyze how different data groups are related to each other. Business owners use the chart to detect the sales rate for various products or services over a particular duration.
A line chart can be of great use when you want to measure the service channel performance. For instance, the chart can help you analyze the number of emails your team members have responded to. When creating the chart, ensure that you use solid lines and avoid plotting more than four lines. Be keen with the number of lines you plot to avoid destruction and cluttering.
The line you use should be of the right height to enable them to convey the message you want. When you follow the right guidelines, you will be in a position to visualize your data and get reliable results.
Conclusion
The above list offers more information about the right chart type that suits your data. Always consider going for the most appropriate charting type that conveys the message of your in the right way and to the right audience. Remember that data visualization is your key weapon to communicating effectively with your market audience. To visualize your data properly, you need an excellent charting type with more room to accommodate your visualization needs and effectively communicate to your market audience.
