dwblair – OccupyResearch http://occupyresearch.net Research Occupy, occupy the research Sun, 09 Oct 2016 22:34:30 +0000 en-US hourly 1 https://wordpress.org/?v=4.5.4 Visualizing “Phrase Nets” using Many Eyes …. http://occupyresearch.net/2012/03/24/visualizing-phrase-nets-using-many-eyes/ http://occupyresearch.net/2012/03/24/visualizing-phrase-nets-using-many-eyes/#comments Sat, 24 Mar 2012 16:47:25 +0000 http://www.occupyresearch.net/?p=426

Many Eyes provides an option for visualizing data via a mind-map, like the one above.  Following the same procedure we described in a previous post, we’re uploading the text of the responses to the survey question: “What is your top reason for participating in the Occupy Movement”?  At the visualization step, this time we’re choosing the “Phrase Net” option.

Once you’ve created an account on Many Eyes, you can play around with visualizing the same data set by searching for the data set labeled “Occupy–ORGS– #1 Reason for participation”.

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Why participate in Occupy? http://occupyresearch.net/2012/03/23/top-reasons-for-participation-in-occupy/ http://occupyresearch.net/2012/03/23/top-reasons-for-participation-in-occupy/#comments Fri, 23 Mar 2012 20:08:24 +0000 http://www.occupyresearch.net/?p=375

We used Many Eyes to visualize the responses to the survey question: “What is your top reason for participating in the Occupy Movement”?

For textual data, Many Eyes allows you to simply paste a large body of text into a field on their website.  To do this:

  1. Create an account. Create an account at Many Eyes; you will be sent an email to confirm your registration.
  2. Upload your data. Logging into Many Eyes, in the left-hand side of the main page you’ll see a link for “upload your data”. This will lead you to a page that will lead you the process in a straightforward manner.  If you’re analyzing simple text data, as we were, you can simply copy the text file you want to analyze, and paste it into the field provided.
  3. Create your visualization. After you have pasted in your data, and provided a name for your dataset, click “Create”.  This will lead you to page that provides you with various visualization options.  Above, we show the result that was generated by the “Word Cloud” option.

We’ve also generated a zipocc of the survey data, that simply contains the zip codes, latitude and longitude, and place names for people who responded to the survey.

 

 

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