Powering Web Applications with Data Visualizations

Posted on the 01 April 2019 by Infographixdirectory @infographixdir


Web applications are a major part of the world today. With web applications and other data visualization tools, users can connect to online computer software.

Data is all around us. Whether it is with bank transactions or billing information, data continues to surround us in all shapes and forms. Often, the data sources areincrediblycomplex,and businesses and organizations need to properly display that data in the way of a chart,dashboard,infographics, or other interactive visualizationsthatare acceptable to the layperson.

Data visualizations may also reveal some surprising connections between data that you could have otherwise overlooked;this information helps you to further strengthen your business.

Powering your web applications with data-driven visualizationsespecially interactive datacan work wonders for your online product. With this article, we hope to explain why and how data visualization helps empower your web applications and show you which data visualization software works best.

What Is Data Visualization?

Data visualization is the process of connecting several different elements in the application using a link node model. These networks or entities are connected and provide a visual overview of the entire system and the relationship between theentities in the web application.

It also helps you analyze crucial parts of the data and identify trends. You canconclusively determine patterns of behavior in the data as well because it acts as “real-time data.” Itcan ultimately aid in helping you make more appropriate decisions for your organization or project.

Often, designers and developers overlook and underestimate data visualization and see it as just pretty pictures. They often feel that data visualization is an additional feature, but not something that is necessary.

To truly emphasize and highlight the way data visualization can be useful to you, we have compiled a list of benefits that it offers your web application:

It Works on Instinct

One of the major reasons data visualization is used by organizations, marketers, andanalysts alike, is its simplicity. Simply put, even a layperson can look at a data visualization graph and instantly find some intriguing patterns.

You can use your intuition to identify patterns or trends within your data set.

While there are several ways available online to present the data, we feel that the node-link structure is the most straightforward graph visualization possible. It is particularly easy to read and understand even for a person that possesses little to no graph visualization experience.

Because of the simplicity of such a design, your web application can serve a vast audience. They can easily find trends and patterns on their own, without any prior analytical skills.

It Is Prone to Change

There is no strict rule as to which kind of data set works with which graph visualization. Practically any type of data set will work efficiently with your web application. As long as you are eager to find patterns and trends in your data set, these web applications will always be of value to you.

You can even use data sets that people would usually never use such as a graph showing the contact lists of multiple people. These web applications can then plot a node-linkgraph and show how some contacts share a trend in the kind of people they talk to.

Overall, graph visualizations can help you pick out trends in your data set. Even if this data set is not conventional or is merely a bunch of emails, graph visualizations will always help you find interesting information about your data.

It Is Quicker

Research has proven that our brain responds immediately to graphical data when compared with raw statistical data. Remember, a picture is worth a thousand words. When you choose to tell your data story graphically through well-designed visuals, you are making more sense of the information and making it far easier to process.

You can use graph visualizations to gain exclusive insight into your data quickly. Usually, if the same data were in the form of a table or a spreadsheet, you would have to use some complex mathematical formula or deduction. Using these tools in your web application will save your business a lot of time,and it will also appeal to customers.

Show Locations

With graph visualizations in your web applications, customers can notice changes and identify their causes as well. Graph visualizations like maps can benefit a lot of organizations.

If an organization has several branches or offices, they can separately plot their data set onto an interactive map. This interactive map can essentially show you all the progress one office has made and how the other offices progress contrasts with each other.

Using this kind of a web application allows you to identify the weakest link in your network. You can then work on improving productivity to meet your business goals.

It Is Efficient

With graph visualizations in web applications, you can easily fit all of your data sets into a compact graph such as a map or scatter plot.

Doing this makes your web application more desirable. It takes a data set and then arranges it in a compact format. It becomes much easier to read and analyze, and it won’t be necessary tohave to scroll through sheets and sheets of tabulated data.

It Provides Insight

Interactive graph visualizations aid in providing insight into the people using them. Web applications can use interactive graphs and node-link systems to display dynamic and interactive information about the graph network.

You can use this to gain more knowledge than before and better understand the context of the data. You can use these web applications to ask more questions including how your system works, how you can optimize it, and how can you minimize risks.

Wrap Up

Graph visualizations are an essential tool for data analysis. When you find these tools in one web application, they can be beneficial for the business. They can provide dynamic and insightful information about your data sets in a quick, easy, and very efficient manner.