2. What is Data Visualization?
• A way of presenting data in graphical/pictorial
format.
• It enables us to identify new patterns and help
us to understand complex data.
3. Why Data Visualization ?
• “We have data but not information…”
• Complicated data structures with multi-years,
multi-categories and multi-geographic-
regions.
4. Tableau: A tool for Data Visualization
• Ability to handle Geographic data with few clicks.
• It uses Dashboard technology to summarize key
findings.
• Possible to zoom in for any specific part of data
and export it for external use.
5. Example: Super Store Sales Data
• What can we do with this dataset ?
– Association Rule
– Predictive Modeling
– Data Visualization
14. References
• Article on “Dynamic Data Visualization” by
Chamont Wang & Michele Meisner
– https://www.bentley.edu/sites/www.bentley.edu.centers/files/csbigs/wang2.pdf
• https://www.tableau.com