The document discusses different types of visualizations that can be used to summarize spreadsheet data, including pivot tables, static visualizations like charts, and dynamic visualizations. Pivot tables automatically sort, count, and total spreadsheet data to show only the most relevant information. Static visualizations provide clear views of spreadsheet information either from pivot tables or other sources. Dynamic visualizations provide animated displays of data to help visualize trends over time. The document provides an example of a Google motion chart comparing work and study hours for two students over two weeks.

1. Visualization of
Spreadsheet Data

2. PIVOT TABLE
•Summarises data within a spreadsheet
•Automatically sorts, counts and totals the data available
•Instead of “flat” information in rows and columns, the table
pivots around the data fields to show only the most relevant
information

4. STATIC VISUALIZATIONS
•Are spawned either from the pivot table, or from another
source, such as a Google Gadget
•Provide clear and quick views of the spreadsheet information

6. STATIC VISUALIZATIONS
•Other charts can be created
•They can be created to summarise the data with reference to a
particular category, day, or student

9. DYNAMIC VISUALIZATIONS
•Provide an animated display of data
•Helps us to visualize any emerging trends in the information
provided

10. GOOGLE MOTION CHART
•This chart compares the amount of Work in Hours versus the
amount of Study in Hours, for both Anthony & Marie over the
two week period
•You will notice that the amount of Study decreases when the
amount of Work increases!

12. CONCLUSION
•Spreadsheets have easy graphics setup
•Makes it easier to view certain information or trends in data