1. Visualization Report of the school data
Lu Bauer, Yu Liang, Shuying Sai,
Yue shen, Yucheng Wang

2. Research Goals
Provide a visual representation with the explanation of what the school data indicates;
Provide the critical information for better understanding of the underlying causes & trends;
Provide potential alternative strategies to improve class registration in the future.

3. Methodology
Identification of class registration patterns between the year 2013 and 2015
Internal comparison between the adult class registration and camp only ;
External comparison of St. Louis postal codes from state and national records;

4. Visualization and finding --Camp Only

5. Gender and Register Number Count

6. Zip Code VS Register Number count

7. Location

8. Register number count for season

9. Media
895
678
473 55 15 10

10. Participant source

11. Register number count and open course

12. Register number count for season 2013-2015

13. Visualization and finding --Adults

14. Gender and Register Number Count

15. Media

16. Register Number Count for Season

17. Top 10 Classes

18. Register Number Count and Open Courses

19. Register Number Count for Season 2013-2015

20. Let’s go to Tableau!

21. Comparison on Postal codes

22. Postal codes with most enrolling
Source: Education-data.html

23. Conclusions: Showed people’s preferences and choices for calsses;
Identified significant trends in class registration:
Determined when most people are registering calsses
Investigated driving forces .