Visualization

Visualizing always challenges our community of designers, coders, and developers to take on the  pressing issues of our day. Each data visualization challenge involves creators working from the same  data set to compete for unique prizes. Data visualization has changed our society considerably. These  are some of the challenges faced in today’s world

VR

Virtual reality is going to have a huge impact on the potential for data visualizations, allowing people  to interact with data in the third dimension for the first time.

AR

Augmented reality may well be the single biggest change that we are going to see regarding the use of  data visualizations.

The challenge that data visualization is going to have is that those creating them need to make sure  they are doing so in an understandable and non-obtrusive way. It creates a new dynamic, where the  data overlaid needs to be clear, concise and not distracting. It’s a fine line to balance on and a real  challenge for those who are used to creating traditional visualizations.

Development

VR and AR are likely to be interesting technologies in the future, but for the time being, we are still  going to be consuming the majority of our data through traditional 2D screens. As the number of data  visualizations increases in almost every area, the chances of yours standing out decreases too as you’re  trying to get to the top of a larger and larger pile.

Differing Levels Of Understanding

As data has spread throughout society one of the elements that has become evident is that there is a  huge variation in the levels of understanding. This could even be in a high powered business setting,  where people who are used to seeing basic excel graphs do not understand anything more complex.  The idea of interactivity within visualized data is not something they would ever feel necessary.  However, there are others who would benefit from more complex visualizations, where they can see  as much as possible in as smaller space as they can, through interactive design or just more complex  features.

Technical Skills

Technical skills to first understand and translate the data then create visualizations around the  results.We already have a shortage of data scientists and people who can feed the right data to the right  people, so this is going to be a key challenge for the creation of decent data visualizations that can  pinpoint important data.

What is Data Visualization

A data visualization (often referred to as a chart or graph) is a graphical representation of data. Its goal  is to convey information in a clear and succinct format.

Data visualization is as much an art as it is a science. Selecting the right type of chart and adding  features that will enhance the visualization while keeping it readable can be quite challenging.

Selection of Data Visualization

There are many of types of charts that are easily available in most data visualization products.The  common chart that are used

• Line chart  • Column chart  • Bar chart  • Pie chart   • Stacked Bar chart  • Scatter plot  • Box Plot

Application of Data Visualization

Data Visualization Application enables users to visualize data, draw insights and understand it  better. It allows people to organize and present information intuitively. People can understand  pictures better than tables that contain rows and columns. By visualizing data, you are able to  ask more questions and quickly find answers. You can combine visualizations into a dashboard.  Dashboards are useful because they allows you to relate different views of information visually.     1.Tableau  Tableau is a business intelligence app that is among the leading software when it comes to data  visualization. It is quite straightforward in using, thanks to its intuitive drag and drop  functionality.    2.Roambi  It is a mobile-based website application for analyzing and visualizing data that revolutionizes  the way users leverage business intelligence.

3 Qlik  Data analysis is essential when it comes to improving your enterprise. With Qlik, you can  visualize any information you have, and thus, analyze it faster. It enables you to create  interactive reports and dashboards with stunning graphical and chart displays.    4.Salesforce Einstein Analytics  Initially developed for mobile, Salesforce Einstein Analytics can now work on smartwatches.  It enables you to leverage data and develop readable charts, images and graphical depictions of  any information you have. This application shines when it comes to assisting users in  comprehending their enterprises without the need for a background in analysis.    5.HighCharts  Highcharts is an excellent tool, particularly if you know JavaScript. The reason for this is that  its library is written entirely in JavaScript and leverages various formats to display charts on  different browsers and smart gadgets. It can process JSON data on the go and represent it in  diagrams as per the preference of the user.      Insights through data visualization    Data visualization is capable of producing significant levels of insight, provided that said data  is extracted in a clear and non-convoluted manner. Such insights can be used to delve deeper  into data sets, and have the ability to extract actionable information for businesses and clients  alike. For example, if an organization has been found to be operating at a loss, it would be wise  to draw on data to identify where changes can be made.    Approach to data visualization    Approach to data visualization mainly depends on your goals and audience. To present the  information engagingly and make viewers stick around, you should go with an infographic.     Meanwhile, if your audience is a board of busy people, you should use a pie or a bar chart –  this way, they'll be able to understand the information quickly. With that said, you should get  to know your audience first, then decide on the data visualization technique.

