• Post author:
  • Post category:General

What is Data visualization?

Data visualization, an Vague field, now has risen to a Omni presence in terms of Business intelligence and Data journalism.Data visualization is a geographical representation of information and data gathered. By the utilization of visual elements like charts, graphs, maps and data visualization tools making an ease understanding of data or information gathered. Data visualization is a form of see art, that draws your eye on the message, in other words data visualization is storytelling with a purpose and with the help of an visual art. Currently trending Data visualization tools uses more sophisticated way of displaying data, using charts, bar, pie, maps and infographics etc., allowing to manipulate and drill into data for querying and analysis. The efficacious vendors in Business intelligence firm, Tableau & Qlik, accentuating Visualization–have moved other vendors towards a more visual approach in their software. The plain graph will not be visually attractive though it may tell powerful point, a stunning visualization may fail conveying the message. The Data and visual needs to work together , combining the art of analysis and storytelling.

Importance of Data Visualization.

It’s difficult for any professional Industry to get benefited without making data more understandable. Visualization is so Copious, one of the most beneficial and professional skill to develop. The better you carry your message visually, the better you clout the information. In this data driven world we have to be updating our skill sets to run along this world. Data visualization  also plays a big part in Big data & advanced analytics projects.

Different Types of Visualization.

Data Visualization is not only visualized using bar graphs or pie charts. There is a whole set of visualization methods, pairing a information with  a right set of visualization, makes the data present in an most effective and interesting way.

Data visualization methods or types:-

  • Area Chart
  • Bar Chart
  • Bubble Cloud
  • Dot Distribution Map
  • Gantt Chart
  • Heat Map
  • Histogram
  • Matrix
  • Network
  • Scatter Plot (2D or 3D)
  • Timeline
  • Tree map
  • Wedge Stack Graph
  • Word Cloud
  • And any mix-and-match combination in a dashboard!