Shelter-in-Data
As we shelter-in-place and wait for the COVID-19 pandemic to subside, getting accurate information has become a primary concern not only for heads of state, health professionals, and business leaders, but for each of us trying to understand what is happening.
There is a wealth of data on COVID-19 available through your browser at home. One of the most powerful methods for understanding and telling stories on the pandemic is through effective data visualization.
Dr. Jim Hetrick, takes us through data visualizations, showing how different ways of presenting data portrays multiple aspects of the story.
Here is the linbk to the live Facebook recording: https://www.facebook.com/soecs/videos/1714099618747325/
Some of the topics covered in this brief lunchtime talk:
- Where to get good data on COVID-19
- The many dimensions of data
- Slicing and aggregating data to tell various stories
- Basic principles of effective visualization
Thank you for joining our Facebook Live Event! We hope you enjoyed learning about data visualization. Below are some resources and links that we discussed during the event:
INTERESTED IN LEARNING MORE ABOUT DATA SCIENCE…
- Check out our upcoming events calendar
- Follow us on Facebook for more live events
- Learn more about our MS Degree in Data Science
- Talk with someone about our Data Science Program
FREE RESOURCES + SYSTEMS
- https://www.crisistextline.org
- https://worditout.com/word-cloud/create
- https://www.anaconda.com/distribution/
- https://www.tableau.com/
SOURCES FOR COVID-19 DATA
- https://ourworldindata.org/coronavirus
- http://www.healthdata.org/covid
- https://coronavirus.jhu.edu/
- https://www.ecdc.europa.eu/en/covid-19-pandemic
- https://github.com/nytimes/covid-19-data
- https://www.kaggle.com/imdevskp/corona-virus-report
LINKS + DATA USED IN PRESENTATION
- https://towardsdatascience.com/data-science-with-python-intro-to-data-visualization-and-matplotlib-5f799b7c6d82
- https://www.aploris.com/blog/charts/link-between-health-spending-and-life-expectancy/
- https://en.wikipedia.org/wiki/Solar_cycle
- http://intellspot.com/types-graphs-charts/
- https://policyviz.com/2018/11/27/histogram-design-decisions/
- https://www.reddit.com/r/dataisbeautiful/comments/fqi9pw/oc_its_not_just_the_flu_comparing_weekly_seasonal/
- https://twitter.com/sawilkus/status/1247907183527895040
- https://gravyanecdote.com/visual-analytics/coronavirus-be-wary-how-we-visualise-data/
- https://www.crisistextline.org/data/bobs-notes-on-covid-19-mental-health-data-on-the-pandemic/
- https://www.economist.com/graphic-detail/2020/03/31/lessons-from-the-spanish-flu-social-distancing-can-be-good-for-the-economy
- https://www.chicagotribune.com/coronavirus/ct-viz-shelter-in-place-changes-charts-20200402-mrln2ovcvjamhm6wfckj77e3gi-htmlstory.html
- https://www.nytimes.com/interactive/2020/04/07/technology/coronavirus-internet-use.html
- https://covid-survey.dataforgood.fb.com/
- https://www.bbc.com/news/technology-52246319
- https://wwwnc.cdc.gov/eid/article/12/11/06-0255-f4
Disclaimer: Comments on any Facebook live post do not reflect the values or opinions of the university
