These biases make for irrational human behavior in the way we make daily decisions.
For example, you will be prepared to pay more for a cookie, when there are less of them in the jar. The generic principle here is that we assign higher valuations to objects under conditions of scarcity.
Once you are aware of such psychological biases, you will start to notice how they are (mis)used nearly everywhere these days. Particularly in sales and marketing. In restaurants, shops, online, and in virtually any case where we act as a consumer, we are subconciously influenced to make certain purchasing decision.
Nudging, is what they call these attempts to manipulate your behavior.
Maybe not so ethical, but still these infographics look amazing and these biases are good to be aware of!
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Many (aspiring) programming professionals competed in this challenge, sharing their learning journeys in domains from web development, machine learning, or data visualization.
With this blog, I wanted to share two of those learning journeys that stood out for me.
First, there’s Avik Jain’s 100 days of Machine Learning code repository on Github. Avik’s repository contains all learning activities he followed during the 53 days of programming he completed. Some of Avik’s entries really stood out, and I particularly liked his educational infographics:
Just look at the wonderful design and visual aids on this decision tree for dummies infographic, pseudocode and all:
Although Avik didn’t seem to have completed the full 100 days, many others did.
I have blogged about Hannah Yan Han‘s 100 days of code project before, but she definately deserves another mention here. Her 100 days revolved around data science, data visualization, and storytelling using both R and Python. You can find her #100DaysOfCode Medium page here, and her associated Github repository here.
For example, one day Hannah explored where instant noodles come from, how they are served, and whether people like them or not.
What I found so great about Hannah’s project is that she picked a novel dataset every couple of days. Moreover, she used a extremely large variety of different visualization formats. All visuals were equally beautiful, but Hannah made sure to pick the right one for the purpose she was trying to serve. If you are interested in data visualization, you seriously should check out Hannah’s 100DaysOfCode Medium page.