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CCC TUG
Boo-tiful Tableau Dashboards
October 25, 2023
CCC TUG
Boo-tiful Tableau Dashboards
October 25, 2023
CCC TUG
Boo-tiful Tableau Dashboards
October 25, 2023
This meeting is
being recorded
Agenda
Announcements
Survey Results
Strategic Planning and Enrollment Management
Tableau Showcase
Office Hours: Data Governance
Next Meeting - December 6, 2023
Iron Viz
● Viz what you love
● Submissions are due on October 31
Qualifier is open!
https://www.tableau.com/community/iron-viz
OER/ZTC Data
Webinar: November 17 10:30-11:30 am
Contact:
Heather Dodge (hdodge@peralta.edu)
Survey Results
Lisa Trescott
Strategic Planning
and Enrollment
Management
Christopher Crew
How we use
Tableau
1. Program
Review
2. Enrollment
3. Vision 2030
Our motivation
1. Time
2. Innovation
3. Training
4. Best
practices
Dashboard
• Overview
Overview
Parameter use
• Use case
@ SBCCD Tableau is a means to move from problem to purpose.
Tableau is a seen as a tool for engagement and modeling District Initiatives
Where It Started
Footnote
Tableau Process
Resources
Parameters
Tableau Deep Dive: Parameters – Parameter Overview
Use Show/Hide Functionality for Container
Tableau 2021.2 New Feature: Show and Hide Everything!
Visualizations in Tooltips
Mastering Viz in Tooltip and Tooltip Filtering in Tableau
Tableau
Showcase
Denice Inciong, Judy Perez,
Nicole Ortega, Gene Tjoa
South Orange County Community College District
SOCCCD
Climate Survey
Dashboard Overview
South Orange County Community
College District
Multi-college District
• Irvine Valley College – Irvine, Ca
• 14,796
• Saddleback College – Mission Viejo, Ca
• 24,821
• District-wide
• 37,183
District Services – Office of Research, Planning and
Data Management
• Denice Inciong, District Director
• Gene Tjoa, Data Warehouse Database
Administrator
• Judy Perez, Research Analyst
• Nicole Ortega, Research Analyst
https://invision.socccd.edu/t/SOCCCD/views/CLIMATESURVEY2023_16941915894870/INTRODUCTION
SOCCCD Climate Survey Overview
Content areas and number of survey items
• Demographics (4)
• Working environment (4)
• Working relationships (3)
• Interactions with locations (3)
• Administrators (4)
• Work culture (6)
• Communication (8)
• District planning (3)
• Professional development (6)
Process of Visualizing Survey Data
Survey Data - Preparation
• Clean it – removing respondents that clicked on the survey link, but did
not answer any questions, etc.
• Challenges of combining the data into one file - edits to the survey
over the years
• Create an Excel file with two sets – one for all survey question data, one
for demographic questions
• Recode string data into numeric with all survey question data
• Keep data in string format for demographics
• Both data sets must be formatted identically
• Join the demographics and survey questions in Tableau
Pivoted Data
Survey Data Reshaping
Unpivoted Data
Data Visualization
Data Visualization Design
Content Areas Similar Design – Tabs
• Work Environment
• Working Relationships
• Perceptions of Leadership
• Work Culture
• Communication
• District Model and Process
• Professional Development
Filters (Located on the Upper Right of Dashboard)
• Year of the survey (2017, 2021, 2023)
• Employee Type (Faculty, Classified Staff,
Administrator/Manager)
• Location – District Services, IVC, Saddleback, or choose
more than 1 location
Filters
Data Visualization Design
Likert Scales Color Palette
Satisfaction Scale
Relationship Scale
Frequency Scale:
Agreement Scale
Informed Scale
Likert Scales Color Palette
• Generally, we tried to keep to
“green” representing a more
“positive” sentiment and “yellow
or orange” representing more
“negative” sentiments.
Work Culture
Diverging Stacked Bar
Steps for Stacked Bar Chart
• Calculated Fields
• Group Responses - Positive, Negative, and
Unknown
• Percentages, not counts
• Axis Negative %
• Labels
• Total Count (N)
Lessons Learned
Always make sure your counts match as you develop the dashboard
• Pivot on the data source to get an accurate count to use as a comparison
May need to re-organize questions for better understanding
Large number of calculated fields
• Duplicated
• Likert Scale color legends
• Aliases
Next Steps:
Looking to incorporate open-ended question responses
Thank You
Office Hours
Data Governance
Get involved!
https://docs.google.com/forms/d/e/1FAIpQLScJ
HLKhTRtrkvvLtpfHQBRBI_anicDqVbze0KJBiVyo
9ptdEg/viewform
See you at the next
meeting!
Wednesday, December 6, 2023
1:00 - 2:30 PM
Lindsay Betzendahl
HealthDataViz
Patsy Garcia
Bakersfield College
Samantha Homier
Kimberly Coutts Lisa Trescott
LTrescott@miracosta.edu
@lisatrescott
Contact Information
KCoutts@miracosta.edu
@kimstrezz
SHomier@valleycollege.edu
CCC TUG
CCCTableauUserGroup@gmail.com
@CCC_TUG
102523_CCC TUG.pptx

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102523_CCC TUG.pptx

  • 1. CCC TUG Boo-tiful Tableau Dashboards October 25, 2023
  • 2. CCC TUG Boo-tiful Tableau Dashboards October 25, 2023
  • 3. CCC TUG Boo-tiful Tableau Dashboards October 25, 2023
  • 5. Agenda Announcements Survey Results Strategic Planning and Enrollment Management Tableau Showcase Office Hours: Data Governance Next Meeting - December 6, 2023
  • 6. Iron Viz ● Viz what you love ● Submissions are due on October 31 Qualifier is open! https://www.tableau.com/community/iron-viz
  • 7. OER/ZTC Data Webinar: November 17 10:30-11:30 am Contact: Heather Dodge (hdodge@peralta.edu)
  • 10. How we use Tableau 1. Program Review 2. Enrollment 3. Vision 2030 Our motivation 1. Time 2. Innovation 3. Training 4. Best practices Dashboard • Overview Overview Parameter use • Use case @ SBCCD Tableau is a means to move from problem to purpose. Tableau is a seen as a tool for engagement and modeling District Initiatives
  • 13. Resources Parameters Tableau Deep Dive: Parameters – Parameter Overview Use Show/Hide Functionality for Container Tableau 2021.2 New Feature: Show and Hide Everything! Visualizations in Tooltips Mastering Viz in Tooltip and Tooltip Filtering in Tableau
  • 14. Tableau Showcase Denice Inciong, Judy Perez, Nicole Ortega, Gene Tjoa
  • 15. South Orange County Community College District SOCCCD Climate Survey Dashboard Overview
  • 16. South Orange County Community College District Multi-college District • Irvine Valley College – Irvine, Ca • 14,796 • Saddleback College – Mission Viejo, Ca • 24,821 • District-wide • 37,183 District Services – Office of Research, Planning and Data Management • Denice Inciong, District Director • Gene Tjoa, Data Warehouse Database Administrator • Judy Perez, Research Analyst • Nicole Ortega, Research Analyst
  • 18. SOCCCD Climate Survey Overview Content areas and number of survey items • Demographics (4) • Working environment (4) • Working relationships (3) • Interactions with locations (3) • Administrators (4) • Work culture (6) • Communication (8) • District planning (3) • Professional development (6)
  • 19. Process of Visualizing Survey Data Survey Data - Preparation • Clean it – removing respondents that clicked on the survey link, but did not answer any questions, etc. • Challenges of combining the data into one file - edits to the survey over the years • Create an Excel file with two sets – one for all survey question data, one for demographic questions • Recode string data into numeric with all survey question data • Keep data in string format for demographics • Both data sets must be formatted identically • Join the demographics and survey questions in Tableau
  • 20. Pivoted Data Survey Data Reshaping Unpivoted Data
  • 22. Data Visualization Design Content Areas Similar Design – Tabs • Work Environment • Working Relationships • Perceptions of Leadership • Work Culture • Communication • District Model and Process • Professional Development Filters (Located on the Upper Right of Dashboard) • Year of the survey (2017, 2021, 2023) • Employee Type (Faculty, Classified Staff, Administrator/Manager) • Location – District Services, IVC, Saddleback, or choose more than 1 location Filters
  • 23. Data Visualization Design Likert Scales Color Palette Satisfaction Scale Relationship Scale Frequency Scale: Agreement Scale Informed Scale Likert Scales Color Palette • Generally, we tried to keep to “green” representing a more “positive” sentiment and “yellow or orange” representing more “negative” sentiments.
  • 25. Steps for Stacked Bar Chart • Calculated Fields • Group Responses - Positive, Negative, and Unknown • Percentages, not counts • Axis Negative % • Labels • Total Count (N)
  • 26. Lessons Learned Always make sure your counts match as you develop the dashboard • Pivot on the data source to get an accurate count to use as a comparison May need to re-organize questions for better understanding Large number of calculated fields • Duplicated • Likert Scale color legends • Aliases Next Steps: Looking to incorporate open-ended question responses
  • 30. See you at the next meeting! Wednesday, December 6, 2023 1:00 - 2:30 PM Lindsay Betzendahl HealthDataViz Patsy Garcia Bakersfield College
  • 31. Samantha Homier Kimberly Coutts Lisa Trescott LTrescott@miracosta.edu @lisatrescott Contact Information KCoutts@miracosta.edu @kimstrezz SHomier@valleycollege.edu CCC TUG CCCTableauUserGroup@gmail.com @CCC_TUG