What is Data Visualization?

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

What are advantages of Data Visualization?

Our eyes are drawn to colors and patterns. We can quickly identify red from blue, square from circle. Our culture is visual, including everything from art and advertisements to TV and movies.

Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see something, we internalize it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.

Why is it so important?

It’s exhausting to consider an expert business that doesn’t enjoy creating  knowledge additional perceivable. Every STEM field edges from understanding data—and thus do fields in government, finance, marketing, history, goods, service industries, education, sports, and so on.
While we’ll continually wax poetically concerning knowledge visual image there area unit sensible, real-life applications that area unit simple. And, since visualization is so prolific, it’s also one of the most useful professional skills to develop. The better you can convey your points visually, whether in a dashboard or a slide deck, the better you can leverage that information.
The construct of the subject knowledge man of science is on the increase. Skill sets area unit dynamical to accommodate a data-driven world. It is progressively valuable for professionals to be able to use knowledge to create choices and use visuals to inform stories of once knowledge informs the UN agency, what, when, where, and how. While ancient education usually attracts a definite line between artistic storytelling and technical analysis, the modern professional world also values those who can cross between the two: data visualization sits right within the middle of research and visual storytelling.

What are types of data visualization?

General types of data visualization:

  • Charts
  • Tables
  • Graphs
  • Maps
  • Info graphics
  • Dashboards

Specific examples of methods to visualize data:

  • Area Chart
  • Bar Chart
  • Box-and-whisker Plots
  • Bubble Cloud
  • Bullet Graph
  • Cartogram
  • Circle View
  • Dot Distribution Map
  • Gantt Chart
  • Heat Map
  • Highlight Table
  • Histogram
  • Matrix
  • Network
  • Polar Area
  • Radial Tree
  • Scatter Plot (2D or 3D)
  • Stream graph
  • Text Tables
  • Timeline
  • Tree map
  • Wedge Stack Graph
  • Word Cloud
  • And any mix-and-match combination in a dashboard!


Data Visualization Tools

  • FusionCharts Suite XT
  • QlikView
  • Tibco Spotfire
  • Watson Analytics
  • Sisense
  • Tableau
  • Data wrapper
  • Infogram
  • Plot.ly
  • Microsoft Power BI

There are various tools but I have kept the list small and something easy to focus on.

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