Data visualization is the graphical representation of data, allowing for the identification of patterns and the understanding of complex datasets. It is important for transforming raw data into informative insights, especially when dealing with complicated multi-dimensional data. Tableau is highlighted as a powerful tool for data visualization, enabling users to easily handle geographic data, summarize findings, and export data.

1. Akash A. Borse
M.Tech (ACDS)
PRN: 170847980005
13/04/2018

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

6. Tableau: Chart Types

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