Worth 5 points
For your final project for this class, you will produce a publishable feature story using data and visualizations.
You have two options for selecting a topic:
- You either pick your own story OR
- I can assign you a topic about Rowan.
Here are suggestions for how to come up with a topic…
- Start with a topic that you are interested in.
- Think about questions you have? Frame your story as a question.
- Try to narrow it down a particular focus. Keep it concrete, specific and simple.
- Think about access. Can you go places and talk to people for your topic?
- Start searching for where and how you might obtain the data you need.
Here’s how you are going to pitch your story:
Post your Pitch and Data Plan to rudatajstudent.wordpress.com in the following format…
Your Name’s Final Project Pitch and Data Plan
Pitch: Tell me:
- What is your story?
- Why is it interesting?
- Where could you pitch it? (Take this seriously. Find a real publication where you think you could pitch your story.)
Sources of data: I’m using the following sources:
- Source with link if available
- Or if you are creating your own data set through surveys or some other means, tell me your plan.
Story framed as question(s): I am looking to answer the following question(s):
- Question 1
- Question 2 (if needed)
- Question 3 (if needed)
It should look something like this…
Sam’s Final Project Pitch
Pitch: My story is about the NBA draft and how important draft position is to yielding a star player. It is interesting because there is the perception that teams need to get the first overall pick to draft a superstar, but many of the league’s star players today were drafted outside of the top 2, 5, and even 10 picks. I am writing it for a sports blog like SBNation. In addition, I will be comparing the results of my findings to the “tanking” strategy that was employed by the Sixers over the last few years and looking at if this a viable way to rebuild a NBA teams
Sources of data: I will be using the records of NBA drafts dating back to the 1970’s and player performance metrics such as MVP voting, scoring averages, First and Second All-NBA teams, Championships won, and more to create tiers of star players over the decades and then chart their draft positions.
- Scraping data from these draft record https://en.wikipedia.org/wiki/2016_NBA_draft
- Pulling stats from here http://www.basketball-reference.com/
- All-Time Player Rankings on sports websites
- Looking into the Draft Lottery Process and how it works
Questions: I am looking to answer these questions…
- At what draft position are NBA teams most likely to draft a superstar?
- How often do superstar players get drafted outside of the top 10?
- Is the Sixers “tanking” strategy a viable rebuild plan for NBA teams in the future?
If you want to be assigned a topic, you must still figure out your specific angle, data source, and write a pitch as outlined above.