We are living in the age where data is huge. We can now monitor everything and establish connections (or just correlations between events). With so much going on, we have to find the best way to communicate all these information.
Data visualization the following:
- Conveys: Persuades people about something
- Collaborates: Presents an interesting/thought provoking argument
- Reasoning: Makes decision
“Data can change things if stories are told correctly.” A quote by Jeffrey Veen
Some examples where we can exercise this ability particularly well, with data visualization done right:
The above is a short presentation done by Jeffrey Venn who talked about how big data can be visualized to save the world (in a way). He takes us back to the 1800s to look at a cholera outbreak. While most visualizations mashed up the map and an airborne disease, John Snow took a closer look at the data and realized that the problem could have started from a water irrigation system. Very likely to stem out from a faulty water pump.
The interpretation of data must alwasy be left to your users. The more important thing is to ensure that your users are left with a tool which can help them interpret data.
“Let go of the control. Allow your readers to find their own story.”