• Why did your group choose the (type of) data/texts that you did?

My team (Helo) choose a Dutch poetry book on hymns because the data seemed interesting and  as a good example for our tool (ManyEyes).

• What parts of the tool did you use?

"ManyEyes" is a multi use tool that can be used to: analyze text (word cloud, word tree), value tables (bar chart, bubble chart), see relationships among data points ( matrix chart, scatter point), see parts of a whole (pie chart) and even create maps (country map). My team used word tree to analyze our text. The word tree created a neat separation of the words that could be easily accessible.

• What did you find out about these texts?

Using the word tree tree tool on the poetry document I found their was allot of; and, though, literacy and poetry words being used. The cool thing about word tree is, you can specify on a word it shows you all the sentences that word is used in.

• Which elements of the tools produced the deepest kinds of analysis (i.e. which were the most useful)?

Because "ManyEyes" has so may tools for different task, depending on what task analysis you need to be done, whether it be, analyzing text or collecting and graphing data "ManyEyes" has a tool for it. This diversity gives you options making it easy for you to go into depth into your analysis.
For me the word tree was most helpful for a written document because it allowed me to go into depth of each sentence of each word. This allowed me to understand which words were being used too often or not enough, alos it created a easily accecable outline of the document.

• Provide a brief description of what you plan to do for your Text Analysis and Data Visualization Exercise.

the book I am using to collect data  is "Life Of Pi", an interesting novel about a indian boy who finds himeself, after a ship wreck, stranded on a boat with a zebra, hayena and tiger. With this book i plan on using ManyEyes to visualy display words inharmony, emplacement and in frequency. I will either word clowd or word tree visualize the data.