Latest in the Data Visualization series, Tim Bock shares how to best utilize correspondence analysis and how to apply the practice using a case study on carbonated drinks.
With the sheer volume of large-scale unstructured data, market researchers need to take the time not only to understand the data itself but also to simplify and tell the story.
Visualizations can summarize patterns that are commonly hidden in a simulator, allowing users of conjoint analysis to gain insight into the key ways that preferences in a market vary.
The weak visualization of side-by-side pie charts stresses the need for visuals to be interpretable in seconds.
Visualizing data can be made easier by utilizing small charts for comparison. This guide includes general guidelines for creating small multiples for big success.
[Monthly Dose of Design] How to use interpretive visualisation to enhance consumer segmentation and audience understanding.
[Monthly Dose of Design] Tips on designing infographics to communicate complex data in a simple, effective and visually-appealing way.
Visual data allows for research methods that better fit people’s lifestyles, making data more accessible and authentic.
[Monthly Dose of Design] Learn the basics of great layout design to communicate insights more clearly to clients.
Data Visualization with Tim Bock is back with his guide to the strengths and weaknesses for visualizations used to compare the distributions of numeric data.
