TOP 5 DATA VISUALIZATION TECHNIQUE

The human eye usually gets more attracted to visuals  than written content. People also find it easier to understand through visuals and graphics. A faster and productive  way to convey the message is through data visualization techniques. It also spreads the message to  a widespread audience. 





Data Visualization Techniques


  1. Box Plot- A visual outline of information is drawn out from box plot and whisker plot. Initially,  from the primary quartile, a box is drawn to the third of the data set.  Inside the box, a line is there which  refers to the median. Whiskers are drawn and then stretched out from the lower extreme to the upper extreme. Outliers are addressed by individual focuses that are in-line with the whiskers. This outline is useful in the longer run. 


  1. Heat Maps- A very different concept of representation of data is displayed by heatmap. It portrays the data in a graphical manner and colors are used to display different values.


  1. Charts- Charts is one the easiest data visualization technique. Various categories of quantities are compared using charts. A Bar Graph with some thorough ideas is the perfect option if someone wants to analyze the data over time or if the data is collected in various sectors like variety of foods, different industries, etc. 


  1. Pie Charts- One of the very simple and well-known techniques of data visualization is pie charts. It is quite basic and easy to understand. It is a circular graph. Each piece’s arc size  is equal to the amount it reflects.

 

  1. Scatter Charts- Joint variation of two data elements is denoted by scatter charts. The marker like dots indicates an observation. Position of the marker implies the value for each observation. It is sort of like a mathematical illustration which displays the value for usually two variables for a set of data by using  the method of Cartesian coordinates.
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