Responsive Design for Data Visualization



Responsive Design for Data Visualization



Data visualization is crucial for Big Data. Data visualization tools allow users to identify trends, correlations, and patterns in data. Data sets receive data from myriad disparate sources.


Data grows at a fast pace, and scientists need to analyze it quickly.


As the amount of data continues growing exponentially, data scientists need simple ways to detect underlying patterns.


Data visualization is a graphical presentation of data. These techniques and tools help to interpret the data with the help of charts, diagrams, and pictures. Visualizing the data in multiple devices improves collaboration and produces effective work. In this article, we will explain the basics of responsive web design and how it can help improve data visualization.



What is responsive Web design




According to Google’s mobile playbook, 40% of users will turn to a competitor if a website is not responsive. The main principle behind responsive design is that the content should adapt to the screen dimensions and the navigation style.


Consumers nowadays don’t have the patience to deal with a website not optimized for mobile. A mobile-friendly or adaptive design website will fit all the webpage on the screen. It usually features a different size designed for each device. As a consequence, the user sometimes has to zoom in or squint to find what they are looking for.


Responsive design involves more than resizing. The quality and resolution of the image should adapt too. Designers need to use proper image optimization to ensure the images translate well and load quickly.


It adjusts to the pixel-width of the target screen, maintaining the user experience on every device displayed. Responsive design adjusts the entire design to the target screen, highlighting the most useful parts.


Responsive Design and Data Visualization



Technologies such as JavaScript allows developers to adapt an app visualization to the size of the target device. This is why application developers have adopted responsive design principles.


Users need to be able to quickly understand the information presented. Adapting the presentation of the data to the device screen is another issue. Here’s an example of a Nobel Prizes statistic visualization:


Scalable vector graphics display interactive data visualizations, adapting them to smaller screens such as mobile and tablet devices. Gone are the days when scientists needed to rely on a static chart of a graph to convey information online.


If you try to display this map on a mobile site without optimization you probably won’t see many of the countries without zooming in.


Tools such as D3.js, Bootstrap or Viewbox for Scalable Vector Graphics, can help you create visualization graphics that are clear and understandable for the user.


Wrap Up Responsive Design




On the other hand, the widespread usage of mobile devices requires optimizing the visualizations to their format. Users can quickly understand the data, regardless of the device. You can apply responsive design tools to convey a clearer message with your visualization.


Responsive web design is changing the way users interact with websites and web apps. You can use the tips presented in this article to build effective and clear data visualizations. This helps users to extract useful information from otherwise huge datasets. Big data visualizations are becoming more popular as they showcase the most relevant information.



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