Data visualization outfits an incredible way of communicating essential information to your market audience. But have you ever thought about how you can visualize text-related data? When you want to create a presentable text visualization, it is high time you consider using word clouds to highlight the textual data points.
A good word cloud example is transforming dull data into a beautiful presentation with a specific message. When creating a data visualization presentation, you might find it challenging to discern the most critical data points. If you have ever taken much of your time looking at a lengthy database, you can easily relate to this situation.
Where do you begin to present data if there are multiple insights and data points to consider? A word cloud maker can help you in such a scenario by Identifying the way forward. Have you ever met a jumble of disparate words that seems not to correlate unless you investigate further? This is what we call a word cloud!
This blog post pinpoints the powerful feature of a word cloud and how to use it. Let’s get to work!
What are Word Clouds?
Word clouds also referred to as text clouds, work simply depending on how a specific word is in the source of textual data. In other words, a word cloud refers to a cluster or collection of words that are depicted in varying sizes. The word appears more often, depending on how bigger and bolder they appear.
This feature plays a vital role in pulling out crucial text information from blog posts and databases. The word clouds enable business owners to contrast and compare different pieces of data to identify any form of wording similarities. Word cloud plays a critical role in converting your important analytics into charts, graphs, and other types of infographics.
This is always the first step during the transformation of data since the brain prefers the use of visual information compared to any other data format. Many people get it hard to identify the way forward if they have raw data in the form of text. It is automatic the research conducted by your organization includes an open format inquiry that requires the respondents to give textual responses.
For instance, you might ask your customers to give reviews on how you can improve your business. Remember that this is an open-ended question that requires your customers to give textual feedback. Some tools play a crucial role in coding such data for the users to understand it quantitatively.
Word cloud offers a powerful option that perfectly evaluates such kinds of data. This option enables you to quantify the insights based on the insights into measurable analytics. The only difference is that you don’t need to create a chart or graph to analyze the data sets. Instead of creating a graph, you only need to develop a word cloud generator.
A word cloud generator allows you to see significant similarities and differences between a couples of speeches at a time. Note that using the word cloud is not explicitly meant for presidential eye candy.
Word Cloud Generator
This refers to an online word cloud generator that scans a considerable body of text and converts it to component words. It mainly highlights the frequently mentioned words that you can use to gather meaningful insights. If you do not prefer the cluster shape, you can opt for the columns, horizontal lines, or depending on your prioritized shape.
Where Word Clouds Excel for Businesses
When you use a word cloud within the right setting, you stand a chance to enjoy powerful visualization tools. Below are some of the most famous instances where word cloud works best.
- Understand How Employees Perceive Your Company
The text cloud visualization has the power to transform the employee feedback into a pile of information that you can interpret and generate more insights. The insights are later converted to company feedback that drives the company culture in the right direction.
- Identifying the Customer Pain Points
Collecting customer feedback is an important thing that has a massive impact on identifying the best way forward. The customer data enables you to learn more about the likes and dislikes of your customers. Also, you identify the major pain points and how you can easily convince customers to make purchases.
- Identify Target SEO Terms
Apart from the normal technique of doing keyword research, using a word cloud can help you identify some of the highly competitive keywords to target when creating content for your site. This gives you an added advantage since you implement some highly competitive keywords.
Instances When Word Cloud Don’t Work
It’s always good to understand that word cloud is not a perfect solution to every data problem that you have. Remember that you cannot use things such as a pie chart to showcase a company’s revenue growth. Also, you can’t use a word cloud in every publication since it won’t make sense in certain instances. Let’s look at cases where you don’t need a word cloud.
- When Other Visualization Methods Work Better
Many people firmly believe that word clouds are neat. Once you have this belief in mind, you will always go for word clouds even when other types of visualization can be used. Remember that you need to understand the right word cloud visualization for every case.
- When Data is not Optimized for Context
Just dumping text into a word cloud generator cannot give you in-depth insights that you can use. Instead, only use it when dealing with optimized context to get better insights that you can use within your data. Note that there are multiple instances where other visualization techniques can be used rather than a word cloud.
When you have a more complex data set, you should prioritize acquiring a team of developers and designers for a complete visualization transformation. Word cloud applications are limited to specific instances.
Bottom Line
A word cloud plays a critical role in identifying insights from text Information and converts it into a data format that you can use in your daily operations. When you have a bunch of text information that you want to transform into data, you can implement this technique and read out the insights from the data.
