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Tag: Data Visualization (page 1 of 9)

Introduction to Tableau for Data Visualization (Online Workshop)

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 they can 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 your visualizations).
  • Learn how to format and make adjustments to titles, axis titles, colors, marks and shapes, and more.
  • Export your 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 help learn about Tableau beyond this workshop.

Please note that 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

This event has passed. You can access a recording here.

Introduction to Data Visualization (Online Presentation)

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 in this day and age.
  • Learn more about the types of data visualizations available to choose from and reasons for using specific types of visualization.
  • Take a look at some 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: OSU faculty, staff, post docs and graduate students
When: Wednesday, June 17, 11:00 am – 12:00 p.m.
Recording: Click here to view a captioned recording

COVID-19 Data Visualizations Keep Us in the Loop

Over the last two months many of us have encountered a variety of COVID-19 maps, charts and other kinds of data visualizations. Hopefully they have been informative and led to a better understanding of the current pandemic. While no one dateset or visualization can truly capture the entire complicated picture of COVID-19, below are a few good examples that offer insight into what is happening in the United States and other countries, as well as what we might expect to see in the future. These visualizations serve to highlight particular trends in the COVID-19 data that we are able to collect, but come with their own caveats. We can make the most accurate and informed observations by understanding the limitations of how data is collected and organized, analyzing the added context of trusted news sources, and analyzing how the visualizations were put together.


1) John Hopkins University Coronavirus Resource Center Dashboard

https://coronavirus.jhu.edu/us-map

Johns Hopkins University’s Coronavirus Resource Center created this world map dashboard that highlights confirmed cases of COVID-19 by country and U.S. state, as well as other key counts such as total death (by country) and people tested (by U.S. state). The other two tabs within the dashboard offer a deeper dive into the U.S. states/counties, and allow users to find answers to questions: “Has the curve flattened?” with supporting evidence and visualizations.


2) Washington Post ‘Corona Simulator’

https://www.washingtonpost.com/graphics/2020/world/corona-simulator/

In March when COVID-19 turned into a pandemic, we started hearing several buzzwords and phrases: “Flattening the curve,” “social distancing,” and “quarantine.” It was difficult for most of us to understand what these words really meant. How do social distancing and quarantine actually help to flatten the curve? The Washington Post’s “Corona Simulator,” and the story behind it, communicated how the implementation of social distancing and quarantine policies would affect a small town of 200 people, using simple visual examples. They also took into account  the the level of policy-compliance.  Visualizations like these help inform and explain to the public how and why certain public health decisions are made.


3) Center for Disease Control COVID Data Tracker

https://www.cdc.gov/covid-data-tracker/index.html

The Center for Disease Control and Prevention (CDC) is the U.S. national health protection agency, and a reliable resource for information about COVID-19. In addition to the number of cases, deaths and people tested, this resource shows school closures and other social impacts of the pandemic. It also includes state-by-state status of business openings/closings, healthcare facilities, state of emergency status, lock-down/shelter in place status,  etc. While referring to an individual states’ website for updates is always the best course of action in keeping up to date with how each state is handling COVID-19, this is a good place to compare how all states are handling things.


4) Ohio Department of Health COVID-19 Dashboard

https://coronavirus.ohio.gov/wps/portal/gov/covid-19/dashboards

For those interested in COVID-19 as it relates to Ohio, the Ohio Department of Health put together this dashboard using the data visualization software, Tableau,  that shows most of the pertinent measurements by county. The “current trends” tab provides a glimpse at the past five days of cases, deaths and hospitalizations due to the Coronavirus. Other tabs such as “forecast model,” give a sense of the difference between an unmitigated spread of the virus and a mitigated spread, through data modeled by the epidemiologists at Ohio State’s Infectious Disease Institute.


5) New York Times ‘How Coronavirus Hijacks Your Cells’

https://www.nytimes.com/interactive/2020/03/11/science/how-coronavirus-hijacks-your-cells.html

Another article from March features illustrations explaining how the Coronavirus slips into cells to replicate and spread. Illustrations make it easier to zoom into the microscopic world of viruses and cells, and understand what makes COVID-19 so dangerous. This article offers a more detailed explanation – both visually and in text – to show where possible vaccine solutions may target, as well as how soap effectively destroys the virus.


6) Datawrapper Responsible Live Visualizations

https://blog.datawrapper.de/coronaviruscharts/

Data is often uncertain, and this is definitely true with COVID-19 as new cases emerge every day. When visualizing these ever-changing live datasets, a great deal of care has to be taken to ensure precise language, design and visuals.  The software Datawrapper confronts this ambiguity and demonstrates how different design choices within a visualization can affect the nuance of the message to the audience.


7) Vox: “How Coronavirus Charts Can Mislead Us”

You may have seen a visualization tracking all the cases of the Coronavirus by country (original from the John Burn-Murdoch at the Financial Times). Vox takes an in-depth look at how small choices in the way data is visualized and designed, can have a huge impact on our understanding of what is going on. Thinking critically about what “confirmed cases” really means (hint: it’s also a reflection of the aggressiveness each country is handling testing) and how a linear vs. a log scale impacts our interpretation, are vital questions to help make more insightful observations and come to better informed decisions.

ONLINE ONLY: Tableau User Group Meeting

Ohio State’s Tableau User Group (TUG) will meet virtually for their April meeting. The April meeting will focus on techniques for optimizing workbook performance (i.e. fix slow workbooks). 

Any Ohio State affiliate interested in Tableau is welcome to join. Please join via this Zoom link: https://osu.zoom.us/j/819559613 (note only authenticated Ohio State users will be allowed access).

For questions, contact Sarah Murphy, Data Literacy/Visualization Librarian, University Libraries

Who: Ohio State students, graduate students, staff, postdocs, and faculty
When: Thursday, April 16, 12:00 – 1:00 p.m.
Where: Online only. Zoom link: https://osu.zoom.us/j/819559613 

CANCELLED: 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 they can 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 your visualizations).
  • Learn how to format and make adjustments to titles, axis titles, colors, marks and shapes, and more.
  • Export your 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 help learn about Tableau beyond this workshop.

This event has been cancelled.

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