1. For Wednesday, November 7 (but some submissions by Monday would be welcome), post (individually or in groups of 2) a data project description containing these parts:
- Description of the data
- Why the data is interesting
- How we can obtain the data
- What specific questions the data will/can answer
Between Wednesday and Friday, revise as desired
2. [Evaluation] (process to happen after Friday, Nov. 9, in groups of at least three, each group evaluating five or six projects*)
Requirement for evaluation teams: For each project description you evaluate, write about a page with about a paragraph for each of the categories below. If you want, give feedback for the proposers also, or ask questions as you evaluate these and invite proposers to revise their projects. Then write a summary page comparing the projects to one another, ranking them if possible on 1) the C’s criteria and (separately) 2) feasibility.
- Clarity
- Goal: the data should be described sufficiently well so that someone in this class could go with that data description and get the data in a “hands-on” form (in an Excel file, written on paper, or other electronic or written format that is organized and ready for processing to answer the questions).
- Correctness
- Is the data available from sources as described?
- Can the data answer the questions listed?
- Coolness
- Is the description creative, catchy, compelling?
- Is there some value to this project in terms of originality, larger purpose, building on existing knowledge, etc.? (innovative, interesting, practical, reliable)
- [not for grade, but to be evaluated] Feasibility
- What kind of time frame and resources would this project take to complete?
- Do we have the skills and access to information and tools needed?
- Would you want to complete this project yourself (with some help)?
*See November 9 post for evaluation groups and projects to evaluate.
3. Even later, we will execute at least a couple of these projects.
Entries (RSS)
November 4th, 2007 at 5:28 pm
a. Describe the data (clear, precise)
I plan on using the webpage aolstalker, which comprises a search engine to look through the AOL data released in 2006. The site show what anonymous AOL users searched for in a given time frame. If I were to conduct this on a larger scale I could use larger search engines such as Google or Yahoo. I will be trying to prove that a large portion of those who search for “Chinese Food” are college students.
b. Why is this data interesting?
The data concerning what types of people search for Chinese food could be used in order to place ads on the campuses webpage such as the ads seen on the schools news paper, The Acorn. Currently there are several Chinese food services that advertize with pamphlets on campus but a detailed report on how many college students search for Chinese food would be extremely helpful for more wide scale marketing campaign. The information gathered could also help college campuses dining contracts more successful by supplying more food that students love. As well as dining contracts the data could also be used to help determine eating habits of college students and examine why the particular food is appealing.
c. How do we obtain this data?
I will obtain the data by going onto aolstalker.com or if I were to conduct this search on a larger scale I could contact Google or Yahoo for search results for Chinese food. While at AOL stalker I can search though data free of charge; however, I would have to pay to get searches from Google or Yahoo. Once I gained the data base of items searched for, I could place in key words such as “Chinese food” and see who searched for that data in the search engine as well as the other items they searched for. The data will be easy to obtain and looking through the search results I can tell what college related sites they went to (eg. Facebook, universities, ect).
d. What questions will the data answer?
I want to be able to prove that college students are a large population of the Chinese food business. I will be able to get this by analyzing search result data from Chinese food and see what other searches they looked for that would relate to colleges and/or Universities.
- Matthew Fingerman (’11)
November 6th, 2007 at 10:07 pm
My proposal
1) Description of the data
a. Using the website espn.com, I would like to look at different baseball statistics over the last few years. Specifically, I would like to take a look at the number of homeruns hit by players each year between 2003 and 2007 for the top three paid batters for each team.
2) Why is this data interesting
a. This data is interesting because many players are paid an inordinate amount of money and provide little results while some players are paid little and provide many home runs for their teams. This data would provide fans, players, and teams with information about getting all they can for their money
3) How can we obtain this information
a. This data is rather easy to obtain whether from a google search for each of the teams over the last few years or just by going to espn.com and spending time looking at each team and player playing for the last five years of baseball.
4) What questions will this data answer?
a. Is a team getting the best results for the amount of money they are paying these players?
b. Who is the most economical player (has the highest homeruns to pay ratio)?
c. Who is the least economical player?
d. What team is getting the best deal (three players homeruns to pay ratio is the highest)?
e. What team is getting the worst deal?
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