Friday, December 20, 2013

Session 8 HW

Hi all,

Pls find below the last HW for MKTR - that for session 8.

The files for classwork and HW are both up on LMS. *Highly* recommended to first try classwork code before the HW one.

HW can be done in groups but submission must be individual only. Also, interpretation should be yours, feel free to take help from peers for running the analysis.

Oh, and one other thing. For text analytics, better to leave Rstudio and run the analysis directly on the original R GUI. It will be there in Program files in the start menu. Same copy-paste will work there also. Plots appear in a cascading window. This is recommended but not mandatory

HW Qs:

The following Qs are based on your survey responses

  • Q1. List the top 5 firms that people have expressed preference for.
  • Q2. For each of the top 3 most frequently cited firms, name the top two firms that co-occur the most and with what correlation coefficient.
  • Q3. Name two 'singleton' firms - firms that do not have any co-occurence with any other firms in the network. [Hint: Invoke plot.words.network function]
  • Q4. Name three singleton people (who apparently do not share firm preferences) with anybody else in the class. [Hint: Invoke plot.ppl.network function]
  • Q5. Analyze the wordcloud for the top loyalty-commanding brands for Co2014
  • Q6. For each of the top 3 most frequently cited brands, name the top two brands that co-occur the most and with what correlation coefficient.
  • Q7. In the brands associations plot, do you see any natural groupings emerge? Do brands of a particular category or price level bunch up together? [Hint: Invoke plot.words.network function]
  • Q8. Name a few people who seem to share a lot of brand preferences with others in the class? [Hint: Invoke plot.ppl.network function]
  • ### following Qs are for web extraction of data from amazon ###
  • Q9. Collect 100 odd reviews from Amazon for xbox 360. Analyze the wordcloud. What themes seem to emerge from the wordcloud?
  • Q10. Analyze the positive wordcloud. What are the xbox's seeming strengths? What can they position around?
  • Q11. Analyze the negative wordcloud. What are the xbox's seeming weaknesses? What can they prioritize and fix?
Deadline is coming Thursday midnight. Submission must be in the form of PPTs only. Write your name and PGID on the title slide and write your name as file name. Dropbox will be made for this.

Any Qs etc, contact me.

Suhdir

2 comments:

  1. while insatlling the packages in R it asks for some CRAN mirror..what should I enter in there?

    ReplyDelete
    Replies
    1. Hi Kanika,
      You can choose *any* server from any country. I like Canada, so I choose Canada. We have a CRAN Server in IIT-Madras as well but its no. of connections is limited, so better to avoid, perhaps.

      Sudhir

      Delete

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