Charts, graphics, maps, and diagrams don’t lie. People who design it do.
Data visualization methods concern the design of graphical representation to summarize the data in analytical processes.
From this first statement, it is important for companies to understand the risk that both disinformation and misinformation could represent.
And while disinformation is defined as a “false information deliberately and often covertly spread in order to influence public opinion or obscure the truth”, misinformation sets itself apart. So yes, charts can mislead. And, we will all agree that sometimes, the realisation of an aesthetic visualization without any risk of misinformation is a true art. However, we need to keep in mind that charts, graphics, maps, and diagrams are only the icons of analytical results.
What techniques can be used to prevent biased view in data visualization?
By Claire Genoux