CHLOE MARTEN
QUANT HUMANISTS
SPRING 2018
05 02 2018
Assignment 2: Blog Post: Reflection, link to assignment
SO MUCH DATA. It is a bit overwhelming trying to sift through all the data available, especially as I learn python. This week I remembered how important it is to start with design thinking. It forced me to go back and really define my questions. I now need to ideate on how I imagine my data will work together to answer my questions before jumping back to code.
It's hard to figure out where to start, I empathize with that. I would recommend just collecting consistent data, the story or narrative you develop on what that data tells you will change, and you'll probably find that the hypothesis you made about what metrics would provide what insights will be different than you anticipated. For example, data in/consistency can be a metric for a lot of things; one days where you don't collect as much, you might have been busy/bored/depressed, and those kind of inferences will come after the data collection process. You can do this in tandem with developing your python skills, and there will be ways to manipulate the data you've collected as long as you can standardize it into a machine-readable format (like a csv for example).