Data visualization is a basic necessity in our daily operations. It focuses on representing data in an easy-to-read format that everybody can understand.
Given that visualization impacts the decision-making process, approximately 74% of managers utilizes this technique in making prudent development decisions that enhance their company’s growth.
However, not everybody is familiar with this newly established data processing concept. There are the coolest data visualizations that you can incorporate into your data processing activities to help you generate incredible data reports for your readers. Also, many people struggle when converting raw data content into an easy-to-read format.
Visualization is a term repeated on several occasions within the business sector; it is high time to uncover some of the best data visualizations that business stakeholders can use to get a clear picture of how it is done. This article lists the top data visualization examples used several times within different domains.
Visualization Source: ChartExpo
Word cloud is an awesome example of data visualization mainly used to display dominant data sets over others. This chart type uses a body of text to analyze data elements by making the size of each word within the group appear proportionally to its frequency. All the words under processing are outlined in a cloud format to enhance ease of processing and interpretation.
You have the freedom to arrange the words depending on your preferred shape since the answer you get at the end of the process is the same regardless of the method you apply. In most cases, word clouds are used in analyzing qualitative data, which you cannot measure or quantify. Also, it can be applied in analyzing words that have meta-data.
The color applied on the word cloud is usually meaningless and does not have any impact on the final results you get. However, the colors are only meant to make the chart unique and attractive during data analysis. Word clouds are mostly applied on blogs and websites to analyze keywords and tags depending on how they will be applied across the content you create.
The advantage that comes with using word clouds is that readers do not need interpretation since everything is self-explanatory.
Visualization Source: ChartExpo
A Sankey chart is one of the most interesting data visualizations mainly applied in analyzing the flow of resources moving from one point to the next. The chart has nodes that are interconnected with connections known as links. If you have a lot of data that you intend to depict its flow, look no further because a Sankey chart covers all your needs.
Initially, the Sankey chart was mainly applied to depicting energy flow within an engineering system. Currently, the chart can detect the flow of any data variable provided that you have collected all your data figures correctly and understand what needs to be done. They have multiple paths that can accommodate massive amounts of data.
When data is presented in a Sankey chart, it becomes pretty simple to analyze since the links showcase the direction of the flow, thus answering the big question. The only thing you need to remember is that the flow height is directly proportional to its quantity.
Visualization Source: ChartExpo
A dot plot chart is an advanced data visualization example that encodes data into a small circle or a dot. The chart is displayed on a number line elaborating more about the distribution of various numerical variables where a dot represents every value. The chart operates the same way as a histogram, although the height of the dots represents the numerical value.
In most cases, the dot plot chart is applied when presenting small amounts of data. However, different types of dot plot charts work depending on the complexity of the data you have. There is the Wilkinson dot plot chart and the Cleveland dot plot chart, which are all used in matters of data processing.
Visualization Source: ChartExpo
The Likert Scale chart plays a massive role in visualizing your business survey data. This chart utilizes concrete numbers operating behind intangible feelings and attitudes. It has incredible features that enable it to drill down and uncover hidden data concepts from the data generated from survey activities.
After a detailed analysis of the survey data, you can utilize the insights to improve your strategies and tailor them depending on the interests and desires of your market audience. Remember that the survey data is qualitative in nature, thus calling for an excellent tool to process and analyze it.
The Likert scale chart operates on a much higher level enabling you to analyze all the essential touchpoints to ensure that you give your market audience what they need.
Visualization Source: ChartExpo
You cannot compare large data sets in your head or use the manual approach. Many people initially preferred using the traditional bar chart, although it had many errors, making it unreliable for data processing. The comparison bar chart is a fantastic data visualization example used to analyze and compare complex data sets and uncover potential data insights.
If you want to engage appropriately with your data and generate awesome analysis conclusions, the comparison bar chart has all your needs backed up. The chart lets you compare different data insights visually, giving you a better opportunity to make sound decisions that are vital to your well-being.
Visualization Source: ChartExpo
A Pareto chart is a method of evaluating your data in a visual format to discover any essential inputs that take over the responsibility of the results you get at the end. This visualization example is mainly applied if you want to identify some of the best strategies that can work well for your business.
If you are provided with a comprehensive list of data points and need to make a good choice, a Pareto chart can help analyze the data and pick the best that suits your business needs. The ultimate goal of this chart is to ensure that you focus your efforts on the most appropriate things.
Google Sheets is a trusted data visualization tool since it’s natural to many.
However, the application lacks an instant and ready-to-use top data visualizations. We comprehend changing tools is certainly not a simple task.
In this way, we’re not encouraging you to ditch Google Sheets for other costly data visualization instruments.
There’s a simple to-utilize tool that comes as an add-on you can easily install in your Google Sheets to get ready-made top data visualizations.
The tool is called ChartExpo.
So, what is ChartExpo?
ChartExpo is an incredibly intuitive add-on you can easily install in your Google Sheets without watching hours of YouTube tutorials.
In the coming section, we’ll take you through how to install and use ChartExpo into your Google Sheets to create top data visualizations.
Example
This section will use a Pareto Chart to display insights into the table below.
| Issues | Frequency |
| Over Stitch | 54 |
| Uncut Thread | 52 |
| Broken Stitch | 44 |
| Raw Edge | 29 |
| Fabric Fault | 24 |
| Needle Mark | 22 |
| Other | 11 |
Once you have installed ChartExpo for Google Sheets, follow the easy steps below:
In our example, the key metric to fill in is frequency. Conversely, fill in the following variable in the dimension section: issues.
A smart data visualization should minimize distortions and properly convey the message. Use visual representations, such as Sankey Chart , Pareto Chart, etc. , that effectively depict the data set.
Business users may utilize data visualization to understand their massive data sets. They gain by being able to spot fresh patterns and data mistakes. The users can focus on areas that show red flags or progress by making sense of these patterns.
Following are the best data visualization examples.
Bar chart
Line chart
Comparison chart
Survey charts
Box and whisker plot
Sankey charts
Area charts
Pie charts
Combo charts
When you incorporate visuals in your data presentation, you will likely intrigue your readers and persuade them to take action. According to analysis, 64% of consumers are likely to make up their minds in a matter of minutes. Analytics and reporting play a significant role in analyzing the data visuals to help you uncover the hidden data elements. This article has covered all the best data visualizations you need.
How much did you enjoy this article?
Do you know the best way to ask your audience for feedback? Google Forms’ Likert Scale questions offer deeper, more valuable insights into your customers.
What is a Google forms Survey? Learn the importance and different types of Google Forms Survey Examples and how to analyze those using Google Sheets.
What is a net promoter score survey? Click to learn about benefits and how to create and analyze NPS survey questions in Google Sheets.
