Research Commons

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Tag: Data Visualization (page 1 of 12)

Introduction to Tableau for Data Visualization

Tableau is a data visualization program that offers both quick and flexible methods of visualizing your data in a variety of ways, including through interactive dashboards. Offering ways to explore your dataset as well as explain it, Tableau combines ease of use and powerful options for engaging your audience with interesting visualizations. In this workshop participants will:

  • Learn about the different types of Tableau that exist and how to access the program (for free)
  • Discover the Tableau interface and learn how to import and connect data to Tableau itself
  • Explore how to quickly visualize data with different chart types (line and bar charts, scatter plots, maps and more) and through dashboards (adding some interactivity between visualizations)
  • Learn how to format and make adjustments to titles, axis titles, colors, marks and shapes and more
  • Export Tableau visualization for use in other tools and programs like PowerPoint and Adobe Illustrator
  • Interact with other resources like Tableau Public’s Gallery and knowledge bank to learn about Tableau beyond this workshop

Who: OSU faculty, staff, post docs and graduate students
When: Thursday, March 25, 20201 from 3 p.m. – 4:30 p.m.
Where: Remote (a personalized Zoom link will be included in the registration confirmation email)

Please note this workshop is capped at 30 participants. Please only sign-up if you can attend. This workshop will allow for hands-on participation. Participants will need to download free Tableau Public software at https://public.tableau.com/en-us/s/download or have the Tableau Desktop Student/Teacher version installed on their device.

If you require an accommodation such as live captioning or interpretation to participate in this event, please email libevents@osu.edu as soon as possible. Requests made at least one week prior to the event will generally allow us to provide seamless access, but the university will make every effort to meet requests made after this date.  

Introduction to Data Visualization

Data visualization (or data viz for short) has rapidly developed into a huge area of interest for a broad group of users including researchers, businesses and anyone looking to effectively communicate a large amount of information to a specific audience. If you have a research question that utilizes data, data visualization and its associated tools can help you analyze and make sense of the information you have gathered. In this presentation, participants will:

  • Be introduced to what data visualization is and why it is both an important and relevant skill to learn 
  • Learn more about the types of data visualizations available to choose from and reasons for using specific types of visualizations
  • Take a look at resources available for learning more about different types of data visualizations and how to create them
  • Explore some of the tools used to create data visualizations in a variety of fields
  • Watch a video showcasing what a great visualization and presentation can look like
  • Gain some useful tips on how to better design your next visualization
  • Find out what The Ohio State University Libraries has to offer in terms of data visualization support.

Who: Ohio State faculty, staff, post docs and graduate students
When: Thursday, March 18, 2021 from 2 p.m. – 3 p.m.
Where: Remote (a personalized Zoom link will be included in the registration confirmation email)

If you require an accommodation such as live captioning or interpretation to participate in this event, please email libevents@osu.edu as soon as possible. Requests made at least one week prior to the event will generally allow us to provide seamless access, but the university will make every effort to meet requests made after this date.

Free Data Viz Tools Series: Data Visualization Demo Using Datawrapper

In the second installment of the Free Data Viz Tools Series, we take a look at the free data visualization tool used to create charts and maps, Datawrapper.  This 30-minute presentation will include an overview of the tool and its capabilities, a discussion on who might be interested in using it and a demonstration on how to create data visualizations within the tool.

Who: Ohio State faculty, staff, postdocs and graduate students
When:  Wednesday, March 10, 2021 from 2:30 p.m. – 3 p.m.
Where: Remote (a personalized Zoom link will be included in the registration confirmation email)

You can view our first installment in the series, Getting Started with Canva, here.

If you require an accommodation such as live captioning or interpretation to participate in this event, please email libevents@osu.edu as soon as possible. Requests made at least one week prior to the event will generally allow us to provide seamless access, but the university will make every effort to meet requests made after this date.

Tableau 1: The Basics (Four-Part Workshop Series) Wednesday Sessions

Mastering Tableau requires patience and practice. This series of four, two-hour sessions includes several activities designed to help you understand and wrangle your data, create and format basic out-of-the box and custom charts and design dashboards that incorporate best practices for communication and visual storytelling. Workshop participants will learn to:

  • Connect, shape and prepare data for the Tableau workspace
  • Describe and demonstrate key concepts, including aggregation and level-of-detail, addressing and partitioning and knowing when to use continuous versus discrete dates
  • Create and format basic and combination charts
  • Assemble dashboards with basic interactivity using filters and actions

Who: Ohio State faculty, staff, postdocs and graduate students
Where: Remote (a personalized Zoom link will be included in the registration confirmation email)
When: Every Wednesday throughout the month of Feb. from 2 p.m. – 4 p.m.

    • Session #1: Wednesday, Feb. 3, 2021 
    • Session #2: Wednesday, Feb. 10, 2021 
    • Session #3: Wednesday, Feb. 17, 2021 
    • Session #4: Wednesday, Feb. 24, 2021 

This workshop is full. 

If you require an accommodation such as live captioning or interpretation to participate in this event, please email libevents@osu.edu as soon as possible. Requests made at least one week prior to the event will generally allow us to provide seamless access, but the university will make every effort to meet requests made after this date.

Tableau 1: The Basics (Four-Part Workshop Series) Tuesday Sessions

Mastering Tableau requires patience and practice. This series of four, two-hour sessions includes several activities designed to help you understand and wrangle your data, create and format basic out-of-the box and custom charts and design dashboards that incorporate best practices for communication and visual storytelling. Workshop participants will learn to:

  • Connect, shape and prepare data for the Tableau workspace
  • Describe and demonstrate key concepts, including aggregation and level-of-detail, addressing and partitioning and knowing when to use continuous versus discrete dates
  • Create and format basic and combination charts
  • Assemble dashboards with basic interactivity using filters and actions

Who: Ohio State faculty, staff, postdocs and graduate students
Where: Remote (a personalized Zoom link will be included in the registration confirmation email)
When: Every Tuesday throughout the month of Feb. from 10 a.m. – 12 p.m.

    • Session #1: Tuesday, Feb. 2, 2021 
    • Session #2: Tuesday, Feb. 9, 2021 
    • Session #3: Tuesday, Feb. 16, 2021 
    • Session #4: Tuesday, Feb. 23, 2021 

Please note: Participation is limited to 15 participants. We ask that you only register if you can commit to attending all four of the workshop sessions. Participants will access Tableau software by using the Research Commons remote computer lab. Instructions on how to access the remote lab will be forthcoming closer to the first session. 

This workshop is now full.

If you require an accommodation such as live captioning or interpretation to participate in this event, please email libevents@osu.edu as soon as possible. Requests made at least one week prior to the event will generally allow us to provide seamless access, but the university will make every effort to meet requests made after this date.

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