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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
- ?
- Can you make a narrative out of this graph?
- What sorts of supplemental data would be helpful in constructing this narrative?
- Conjecture as to what Class, Subclass and Narrow class mean. Where would this faceting data come from?
- Click on a spot on one of the plotted curves (and wait, rendering can take a little time). What is this data in the drop down? Explore it - how 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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