Assignment 3
Tabular data viz
Setup
To be completed before 21-3-2021(Thurs) 1200hrs
- This repo link will be of the format https://<username>.github.io/HASS-assignment3
- In the forked repo create a basic index.html file, and make it visible on GitHub repo pages (it's under the settings tab, under GitHub pages).
- You can put your CSS style tags, HTML and JS script code into one file, or organize them into files/directories.
What: Dataset
- We'll be looking at HDB's Resale flat prices.
- Download the CSV. HDB now no longer publishes this as an API. I suspect because this is probably because it was impacting their server costs.
- You probably have to do some data manipulation. Whether it is in the CSV or via code or via API query, it's up to you.
Why: Framing is up to you
- The dataset is huge, so frame one simple hypothesis that you are interested in.
- E.g. What are transactions in only Ang Mo Kio like in the last 6 months?
- E.g. I want to sell my flat. Pick that block and maybe a few other blocks to analyze.
How: Encoding
- Up to you. Do you want to put everything into one scatterplot chart? Do a simple boxplot?
- Feel free to come up with derived columns, and/or filter away data that is not relevant to your hypothesis.
- If you are doing summary statistics, D3 has functions like D3.group to make your life easier. Or use an external library like tidyr.
- Have a very, very simple writeup (a few lines) to explain your hypothesis and choice.
- I'll get all of you to quickly present your hypothesis and chart once the assignment is in.
How: Execution / Expectations
- I'm expecting one chart (if D3), but you are free to do more than one (esp. if not using D3).
- You may prefer not to use D3 and that is fine. However, please don't just use Excel and then screenshot an image.
- Up to you how much interactivity you want to put into the piece (if D3). Good interactivity takes a ton of work.
- We'll be doing small code assignments for this course, so I'm not expecting anything complicated. Save it for the project.
Tips
- Frame your hypothesis carefully so that you don't have to kill yourself doing this assignment.
- With higher order libraries like Plots you can churn out exploratory charts a lot faster.
- The point of this assignment is to think about how to approach a bigger dataset (data), frame your hypothesis (task abstraction), then execute it (idiom).
Questions?
Chi-Loong | V/R