Chapter 18
Ten Tips for Visualizing Data
IN THIS CHAPTER
Considering your environment and resources
Evaluating your data’s story
Choosing the right scope and scale
Staying compliant
Having the biggest effect
The main purpose of data analytics is to uncover hidden meaning in data. If it were easy to look at raw data and interpret what it means, there wouldn’t be a need for sophisticated data analytics. Although a well-trained analyst can look at a model’s mathematical output and make inferences about the data, those inferences aren’t always easy to explain to others. To clearly explain the results of most models’ output, you need to draw a picture.
Visualizing data isn’t just a nice thing to know; it's critical to conveying meaning to other people. Technical and non-technical people alike benefit from a good data visualization. Sometimes a bar chart most clearly explains data visually; other times a pie chart is better. Knowing how to visualize your data for the biggest effect is ...
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