Unit 3 – Beautiful Evidence: Using data visualization to make sense of information

A. Reading Responses

1. Read. Download this literacy textbook and read Recommendations 4 and 5, keeping in mind these guiding questions:

a. What do we mean by literacy?

b. How is visualizing data the same and different as learning a human language?

c. What value do you see in these recommendations?

2. Respond. Now, create a response to this reading as a blog post on Pace Commons. Be sure to use the guidelines for reading responses. Use the tag: #cs4teachersunit3

Visualizing Data

For this part of the project, we are going to collect some data and then organize it visually in order to tell a story. We will use two tools to do this: Google Sheets and Datawrapper.

1. Getting started with visualizing data. Storying Data Project. In this project, you will use a dataset from the New York State Education Department (NYSED). You will narrow the data you are looking at, and then use the visualizing/charting tools in Google Sheets to tell a story.

2. Beyond the basics. Datawrapper. Datawrapper is an online tool for creating really interesting data visualizations. First, set up a free account. Then, using the same dataset, create a more complex and interesting visualization. Once again, share it here on Pace Commons. Remember, your job is to use the data to tell a compelling story.

For the data visualization projects, use the tag: #beautifulevidence

All of this work is due by Sunday April 14th 21st

Computer Science for Teachers Spring 2019

Computer Science for Teachers Spring 2019

Here is the online home for CS for Teachers at Pace University for Spring 2019.