- https://editor.p5js.org/jht1493/sketches/bxiT7lMbt loadJSON c19 series brooklyn
- 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 visualizations) 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?
- Are there helpful notes, labels, and navigational hints?
- Can the viewer gather useful and actionable data from this visualization?
*Source: Tableau Online
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
COVID-19
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https://covid19impactproject.com/2022/01/15/curating-covid-19-memorials/
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https://itp.nyu.edu/covid19impactproject/data-storytelling/ (Focus Tito)
COVID & Wealth
WEALTH AND POVERTY
- Submit homework to your folder on the 2023 CLASS GOOGLE DRIVE
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Reflect on Week 2 class. Think about whether you might like to contribute to building the project or creating a new piece of work for your final project. Be prepared to discuss in class.
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THE COVID TRACKING PROJECT: https://revealnews.org/article/covid-tracking-project/ This three-part podcast series exposes the Centers for Disease Control and Prevention’s (CDC's) bungled response to COVID-19 in the early days of the pandemic and takes listeners inside the massive volunteer effort to collect data about tests, cases, hospitalizations and deaths in the U.S. The United States has 4% of the world’s population, but 16% of COVID-19 deaths. This podcast series investigates the failures that led to over 1 million Americans dying from COVID-19 and what that tells us about the nation’s ability to respond to the next pandemic. This three-part series was reported by Artis Curiskis and Kara Oehler and hosted by infectious disease expert Jessica Malaty Rivera.
- Listen to Episode 2 of the COVID Tracking Project podcast (50 mins). https://revealnews.org/article/covid-tracking-project/
- In a medium of your choice, react to at least one thing that caught your attention. (essay, poetry, prose, art etc)
- Choose a new data vizzies or one from last week's homework. Put screenshots, images (if from printed material) and links if relevant into your Week 2 Google folder. Analyze the vizzie through the lens of data literacy as we discussed in class. For the vizzie you chose, write down your answers to the following questions:
- What is the source of the data?
- What does the chart/graph/visualization represent?
- Is there a clear title and purpose?
- Is the title informative/accurate/misleading/vague? COuld you suggest a more accurate or informative title?
- Can you understand the intent of the visualization in a few moments?
- Is there enough auxiliary information to help you decode the data? What auxiliary information is provided? How is it provided?
- Does the visualization allow you to access granularity?
- What insight into the data does the visualization provide?
- Do any particular patterns or trends emerge? If so, what are they?