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- Spend some time exploring the notes about the underlying data. What kind of text data is this?
- Is the text clean? Indexed? Filtered? Structured? Anything else interesting you note about the data?
- Explore the functions of the tool. Attempt to make claims about the intellectual content of the text based on the tool and its visualizations. (Feel free to reach a little; definitely refine and make the input better.)
- How comprehensive are these terms? Can you make them more comprehensive by making them case insensitive? What happens to your results?
- Can you restrict the case of some phrases and make others case insensitive? How?
- Can you segment by language to indicate data from Great Britain as distinct from US English? What does it mean to find these terms in Spanish?
- Can you add related terms? Do these terms show interesting trending, either coincident or inverse?
- Add the coalesced term "(male+(chauvinism+chauvinist))". Note the way the frequency of this form obliterates the other waveforms. What can you do to temper this action?
- What sorts of supplemental data would be helpful in making sense of these visualizations?
- Play around - try other searches and customizations, observe and evaluate their effects.
- Consider the value of the tool
- What can you manage to do? What is this tool good for?
- What sorts of things did you want to do, but could not?
- What can you infer from the interface about the text? What is still opaque?
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- Any browser should work fine.
- Your exploration will begin here. If this doesn't render, open https://bookworm.htrc.illinois.edu/develop/, clear filtering, replace the two terms with "consumption" and "tuberculosis", and run the search.
- Discussion of the use of the tool is at https://wiki.htrc.illinois.edu/pages/viewpage.action?pageId=26705922 (See the bottom of the page under the heading "Using HT+BW)
- (Extremely short) description of underlying data is here, and greater documentation here.
- Choose roles of recorder and presenter
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- Spend some time exploring the notes about the underlying data. What kind of text data is this?
- Is the text clean? Indexed? Filtered? Structured? Anything else interesting you note about the data?
- Explore the functions of the tool. Attempt to make claims about the intellectual content of the text based on the tool and its visualizations. (Feel free to reach a little; definitely refine and make the input better.)
- Add other communicable diseases of interest.
- Try comparing Malaria as found in publications of the United States or the United Kingdom. Where does the data to facet in this way come from? faceting by language of publication, place of publication
- Conjecture as to what Class, Subclass and Narrow class mean. Where would this faceting data come from?
- click Click on a spot on one of the curves - what plotted curves (and wait, rendering can take a little time). What is this data in the drop down? Explore it - how is might it be useful.?
- Operate the date sliders. What happens to the representation of the data when you zero in on certain years? How does that affect the narrative you would tell about the trend of the frequency of a word?
What sorts of supplemental data would be helpful in making sense of these visualizations?
- Play around - try other searches and customizations, observe and evaluate their effects.
- Consider the value of the tool
- What can you manage to do? What is this tool good for?
- What sorts of things did you want to do, but could not?
- What can you infer from the interface about the text? What is still opaque?
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