Critical Data Literacy: Engaging with Search Engine Optimization and Data Visualization

For my presentation, I have decided to focus on data visualization. For those interested in web design and SEO, I will very briefly talk about projects we can work on; however, for the sake of you having time to “play” in class, let’s get into data viz!

Here are the topics we’ll cover:

Clean data

What does it mean to clean data? How do you do it?

Open data sets to peruse:

https://www.kaggle.com/datasets

https://healthdata.gov

https://public.tableau.com/en-us/s/resources

https://registry.opendata.aws

https://www.google.com/publicdata/directory

Data Visualization

What is data visualization? How does it align with humanities research?

Data viz tools that are free/open source:

https://gionkunz.github.io/chartist-js/examples.html

https://public.tableau.com/en-us/s/

https://www.datawrapper.de

http://timeline.knightlab.com/#examples

http://polymaps.org

https://infogram.com/examples/charts

https://datastudio.google.com/navigation/reporting

https://rawgraphs.io

https://socioviz.net

And a bit of inspiration…

https://informationisbeautiful.net/visualizations/worlds-biggest-data-breaches-hacks/

http://beta.wind-and-words.com

Demonstration

I’m going to start by showing you how to use Tableau Public, a free data visualization tool. We’ll use a well-known open data set, the Titanic passenger list. (Click here and click on “sample” data. Scroll down to the “lifestyle” section.)

After you learn a bit, you’ll be free to explore and play with your own data visualizations!


Check out my profile to learn more about my availability and what kinds of projects I can help students with.