# Map Reduce and Data Analysis Accept the [classroom homework invitation](https://classroom.github.com/a/Kog9MCRN). Review the homework in this [pdf file](https://github.com/kni-neu/homework-2/blob/main/assignment2-questions.pdf). If Github Classrooms does not work for you, you can use [this template](https://github.com/kni-neu/homework-2) by 1. clicking **Use this template** 2. creating a new repository, and 3. making it visible to **kni-neu**, **nkumeh**, and **pratyaksh64**. ## What You Will Need You will need [the data](./data). If you are using Colabs (not a requirement), you would need a Google account. ## Starter Kit Here are the starter kits that you might find useful. * Document templates can be either [Overleaf TeX File](https://www.overleaf.com/read/zfwcfsbbgtxj) or [DOCX File](https://docs.google.com/document/d/1qXipr5Ko2Xpf71GbLzEZXa9khB5w4O2B/edit?usp=sharing&ouid=117230435864186314036&rtpof=true&sd=true). When you've compiled/finished writing, **download the PDF** from Overleaf/Google and upload it to the submission link. * Upload your processed `output.txt` file in the specified format in the [homework questions](./assignment2-questions.pdf). * To help you get started, you may find that this [Colaboratory Link](https://colab.research.google.com/drive/1tKYd9hQ-MHvjTXyti3FmOQLtpvc1HBfw) is useful. In order to submit, you'll need to Download the file as a `*.ipynb` file (Under **File** → **Download** → **Download .ipynb**.) ## Submission Instructions Commit your `*.py` or `*.ipynb` (either is fine as long as they are commented appropriately), `output.txt`, and `assignment2.pdf` to that repository and provide the URL via [Gradescope](https://www.gradescope.com/courses/494275).