The document discusses different types of maps and charts that can be used to visualize data based on the message, data, audience, and context. It lists common map types like choropleth, graduated symbol, dot density, and 3D maps. It also lists different chart types useful for different purposes, such as bar charts for comparing values, area charts for showing total values, line charts for trends over time, and scatter plots for revealing patterns. The document provides guidance on selecting the most appropriate visual based on the characteristics of the data and the goals of the analysis or communication.

1. Map Types Choose the most appropriate one based on your message, data, audience and venue

2. Standard

3. Images

4. Choropleth Unique Value

5. Choropleth Graduated Color

6. Graduated Symbol

7. Chart

8. Dot Density

9. 3-D

10. Statistical Analysis Result of a T-test performed to identify areas of significant change in deer harvest.

11. Polygon

12. Line

13. Point Data Discrete vs. Continuous Discrete Continuous

14. Large Scale Small Scale

15. Roads from USGS TIGER files 1:100,000

16. Rabies Vaccine Field Test Mapping

17. Charts . Presents complex tabular information effectively. Provides an immediate impact and takes less effort to understand. . Complements map information. Shows the same information in a different way, or provides additional information about map features.

18. Bar Chart Good for comparing values and showing trends

19. Column Chart Good for comparing values and showing trends

20. Area Chart Good for showing the relative value for each category as well as the total.

21. Cumulative Bar Chart Combines features of both the bar and area charts

22. Pie Charts Shows relationships between the parts and the whole, particularly useful for showing proportions and ratios.

23. Line Charts Emphasizes rate of change. Particularly good for representing trends over a period of time.

24. Scatter Charts Reveals trends or patterns in the data. Can help reveal associations, sometimes cause-and-effect relationships.