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R for Data Science by Dan Toomey

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Questions

Factual

  • How does using lowercase help in analyzing text?
  • Why are there so many sparse entries? Does this number make sense?
  • Determine how to order the instructors matrix.

When, how, and why?

  • How would you remove the Unicode sequences from the text?
  • In what list of terms would you be interested in finding associations?
  • How could you adjust the course credits to be inclusive of the ranges of credits?

Challenges

  • Can you determine the benefit of using word stems in the analysis?
  • Can you figure out how to display the actual text words in the dendogram rather than their index point?
  • Is there a way to convert a non-heterogeneous XML dataset to a matrix?

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