Northeastern University assignment turns data science student into fan

data science

Michael Wheeler is a Candidate for a Bachelor of Science in Data Science at Northeastern University in Evanston, Illinois. As part of an assignment, he was required to use in the following way:

  1. Choose a website to get data.
  2. Set up an extractor using
  3. Run the extractor and import the data into R using the API or structured file.
  4. Analyze the data.

Michael described his experience this way:

“The assignment was for my Data Collection, Integration, and Analysis class at Northeastern University, taught by Prof. Martin Schedlbauer, and requires using as a way to learn about the basics of data extraction.

I’m a bit of a foodie, so I figured I would use to collect recipes. I pulled all the dessert recipes from and then did some imputation and analysis in R for assignment credit. If you’re curious or hungry you can find my assignment code and recipe data at this report.

I was honestly very impressed by the flexibility of your product. I found the whole process to be very easy. Chaining the extractors and dealing with infinite scrolling pages was painless and made particularly easy with clear and readable documentation. I liked it so much that I bought a student subscription.”

Thanks Michael!

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