Data Visualization

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Data visualization in this context does not just mean the graphical representation of data, it means any way you convert data from text or numbers into a visualization, including graphs, charts, and diagrams.

We often need to turn Data --> Information --> Knowledge --> Wisdom. Using a visualization we recreate the data in a new format. This can help turn that data into information because we can better understand it through a visual. It can also help understand where we might be missing data/info (ie: System diagrams often spur questions on Networking configurations.) Finally, visualization helps us uncover new insights

“There are two goals when presenting data: convey your story and establish credibility.”

The job of the presenter is to inform the audience, not influence them.
Show baselines
follow conventions
don't cherrypick data

Choose the right chart
Using the wrong chart is like having good intentions but poor execution.

Choose the graph based on the kind of data and the message to be conveyed.
Do not use different graphs just for variety, as specific graphs convey certain types of information more effectively than others.
If not required, do not use any chart — show only numbers.

When showing comparisons, a bar chart is generally better than a pie chart. It is easier to make out the difference in length of bars than the size of pie segments.

Line graphs are typically better suited than bar charts to show comparison over time. Also, line charts are very useful to indicate trends or patterns.

When there is a specific figure to be highlighted, it can be effective to use only numbers with no charts. One or two numbers are easy to grasp and can make a large impact.

Omit the insignificant to highlight the essential!

“There is no such thing as information overload. There is only bad design.” — Edward Tufte

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” — Jim Barksdale

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