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April 2013

Week Five

Week 5: Data Presentation Tools

Presentation involves sharing data with other people in a way that is visually insightful. Students will be asked to bring an example of a visualization of data from a website or news organization, and make a short presentation about what makes the visualization insightful.
Readings and Assignments Due:
1. Software Sharing #1 (Share scripts produced in week 3 using an open source software configuration management tool).
2. Part Three of “Data Analysis with Open Source Tools”.

Week Four

Week 4: Sharing Data Preparation Tools

Students will become familiar with the use of open source software configuration management tools for sharing software developed to prepare open data. The specific environments used may change as open source software evolves. Github, Google Code and Source Forge are prominent SCM exemplars.
Readings and Assignments Due:
1. Software Sharing #1 (Share scripts produced in week 3 using an open source software configuration management tool).

R and "Windows" Tips

Running Scripts using "ls" in Sean's Sample Scripts

As we learned in class, this does not work! :( However, its a common problem that is encountered, and there is a simple workaround. Go ahead and redownload the scripts from my Github Repository as a "Zip File" here:

https://github.com/The-Art-of-Big-Social-Data/info480

Then go to the "GitHub Networks" folder and open the file "github-v3b-WINDOWS.R"

  • Apr 3 2013

Week One

Week 1: Introduction to Data Science
General introduction and explanation of syllabus. Example data science activity using Github data. Demonstration of data collection and management, analysis and visualization lifecycle. Privacy implications of analyzing public data discussed. The social value of analyzing “big data”: How we learn about social and organizational performance and structure using “big data”.
Readings Due:

The Zeitgeist of Google Search Phrase Trends I thought or Cared About Today

I'm teaching a course on data science this quarter, and was looking through some tools that a number of my colleagues have shared with me over the past few months. One especially interesting, starter tool for helping students think about and experiment with their own curiosities is "Google Trends". In this trend block below, I contrast google interest in "Taxes", "Health Care" and "Gun Control":

I'm teaching a course on data science this quarter, and was looking through some tools that a number of my colleagues have shared with me over the past few months. One especially interesting, starter tool for helping students think about and experiment with their own curiosities is "Google Trends". In this trend block below, I contrast google interest in "Taxes", "Health Care" and "Gun Control":