For a long time, I have been noticing how big and open data can be easily simplified and interacted with new visualization methods and techniques. But, since not everyone knows the secrets of building a successful visualization, I found it necessary to share this article about myths and reality of effective data visualization I came across lately.
#Myth: Data visualization is easy.
#In Reality: Although data visualization seems easy, projecting the correct values (units, numbers) holds as much importance as the dataset itself. Sometimes, authors just skip the part while assigning values or units and this might result in the complete “bizarre” of the message itself.
#Myth: Data visualization is for grabbing people’s attention for eye-catching displays!
#In Reality: The whole sole purpose of a data visualization is to project data in a very compelling way and NOT to compromise the contents for its artistry. Data can always be presented in several ways alluring to the eyes, but it should always represent the authenticity of its contents.
#Myth: Any beautiful chart would present my info
#In Reality: This is absolutely not appropriate to project your data with any graph available. Using certain graphs adds more value to the existing data set. For example, pie & donut charts are best in choice when a percentage fraction is to be shown. Also, scatter charts are best when a two dimensional data is needed to be set.
#Myth: Data Visualization is for those who have difficulty looking at the figures!
#In Reality: The primary purpose of data visualization is to make complicated figures more reader friendly and NOT for those who have difficulty in looking at figures. As it is rightly said “Data visualization is not dumbed-down expression of quantitative concepts.”
#Myth: I need to be professionally trained to project awesome data visualization.
#In Reality: No, you don’t have to master in any specialty to be able to project your figures beautifully. A little knowledge and careful study of the figures would suffice.