Reflect on Week 1 class and the skills you have or would like to enhance. Develop and document an initial concept for your FINAL PROJECT.
Your final project should
- Contribute to the COVID-19 Impact Project OR
- Be centered on pandemic data around something culturally relevant to you OR
- Be related to populations that experienced disparate effects due to the pandemic
Create a folder with your name in the class GOOGLE DRIVE. Homework must be submitted by midnight on the night before class. Submit homework to your folder on
Project ideas with documentation must be presented in class for feedback on Week 2.
- Researcher: Curate data vis and stories on marginalized demographic group; collect examples of data vis that can inspire our work.
- Writer: Collect and present at least one personal/community original pandemic story. Does the story connect to the data? How? Document in the medium of your choice (audio/visual/performance etc…)
- Artist: Express a pandemic narrative in the medium of your choice.
- Coder: Develop data vis sketch/prototype/idea using tools of your choice. Present a working model or a model with well documented issues
- Essential workers
- Race/ethnicity and COVID-19
- Poverty and COVID-19
- Culturally relevant/localized community
Develop and document original ideas for memorials, grief and mourning at any scale in an ongoing pandemic.
- https://editor.p5js.org/jht1493/sketches/bxiT7lMbt loadJSON c19 series brooklyn
Data from JHU Repo
- Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
- JHU CSSE Daily Report Sample
- Program developed by John Henry Thompson to parse JHU data.
- The data parsed into a json file
Data from NYC Department of Health and Mental Hygiene
- NYC DOHMH Github
- NYC Data by zip code
- Program developed by John Henry Thompson to parse NYC data
- Parsed data as human readable files
Florence Nightingale, aka the "Lady with the Lamp", best known for her nursing work during the Crimean war. She was a nurse and a statistician who collected and analysed data on the deaths of soldiers in Crimean war. The data showed that more soldiers were dying from infectious diseases due to unsanitary conditions and poor ventilation than from wounds of war and other causes. Florence Nightingale instituted reforms to mitigate these outcomes. She created visualizations to communicate her findings and the results of her interventions to the general public.
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https://www.sciencemuseum.org.uk/objects-and-stories/florence-nightingale-pioneer-statistician
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https://www.theguardian.com/news/datablog/2010/aug/13/florence-nightingale-graphics
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http://www.florence-nightingale-avenging-angel.co.uk/GraphicsPaper/Graphics.htm
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https://www.sciencenews.org/article/florence-nightingale-birthday-power-visualizing-science
"The core mission of Du Bois’s sociological research was to forcefully refute the widespread belief that black Americans were innately inferior and incapable of social advancement.”
- WEB DuBois's Data Portraits Visualizing Black America
- Black Lives 1900: W.E.B. Du Bois at the Paris Exposition
- https://visionscarto.net/web-du-bois-color-line
- https://medium.com/nightingale/exploring-the-craft-and-design-of-w-e-b-du-bois-data-visualizations-part-3-b110d034fd36
African American Photographs Assembled By W. E. B. DuBois for 1900 Paris Exposition
- The Covid Tracking Project https://covidtracking.com/
- https://www.tableau.com/academic/students Download and install Tableau. Get one year license for use (renewable)
- p5*js p5*js.org
Data is a set of numerical values described by qualitative and quantitative variables. Data visualizations (graphs, charts, maps and other creative visualizatoins) should:
- Have a clear title and purpose
- Provide insight into the data?
- Make clear what the visualization represents
- Make it's intention clear within moments
- Reveal trends and patterns if they exist
- Provide easy access to insights into the data
In addition:
- If outliers in the data exist they should be easy to spot
- The completeness of the data should be explained
- A data literate consumer should be able to spot whether the author deliberately excluded or hid relevant data
In creating or examining visualizations ask:
- Can I answer all of my questions with what I see, or do I need more data?
- Is it clear what has been measured, and what the numbers represent?
- Has the author included helpful notes, labels, and navigational hints?
- Can you gather useful and actionable data from this visualization?
*Source: Tableau Online
COVID-19
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https://covid19impactproject.com/2022/01/15/curating-covid-19-memorials/
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https://covid19impactproject.com/extracting-stories-from-data/spring-2021-student-project-samples/ (Focus Tito)
COVID & wealth
WEALTH AND POVERTY