On November 12, 2020 — in the midst of a pandemic that has locked many people in their homes, Sony launched their much-anticipated PS5. What can the launch of this gaming console teach us about economics? The ugly side of supply and demand.
Originally retailing at $399-$499 ($399 for the digital version; $499 for the disc version), the console sold out in minutes. Now, people who want their own PS5 will have to shell out upwards of $1,000 on the secondhand market, more than double the original price. What went wrong?
Ggplot is R’s premier data visualization package. Its popularity can likely be attributed to its ease of use — with just a few lines of code you are able to produce great visualizations. This is especially great for beginners who are just beginning their journey into R, as it’s very encouraging that you can create something visual with just two lines of code:
ggplot(data = iris, aes(x = Sepal.Length, y = Sepal.Width)) +
I was gifted an Echo Dot back in 2017. Since then, I’ve used Alexa for more and more of my everyday needs — from turning on and off my lights, to seeing whether or not I need to bring an umbrella outside, to setting timers for baking.
Virtual assistants and smart speakers are only going to improve and become more ubiquitous. Looking back at my three years of Alexa ownership, I wanted to reflect on how I’ve used it.
In this article, I explore how I use Alexa.
When I first got my Alexa, I used it a bunch — with nearly 600 requests in September 2017. …
Scorigami is a concept thought up by Jon Bois. It is the art of building final scores that have never happened before in NFL history. Due to the unique nature of how points are scored in (American) Football, there are a lot of scores that are possible, but have never happened.
It’s always exciting when a Scorigami happens — over 180k people follow a Twitter account built for this exact purpose.
Mechanical keyboards look and sound great. Not only that, but they’re a lot more fun to type on as the feedback is more tactile than a normal keyboard. However, mechanical keyboards are expensive, with some of the costliest models ranging from a couple hundred dollars to over a thousand dollars. When investing in a piece of tech like this, are there any benefits to typing speed?
When I first discovered mechanical keyboards, it was back in 2013. I was an undergraduate at UC Berkeley, and just splurged $120 on a new keyboard.
As a consumer, Yelp provides helpful information when you’re looking to visit a business for the first time. Whether it’s looking for a new place to eat Chinese food, a new gym to join, or a place to get your haircut — Yelp is a great resource for making a very personal decision on whether or not you want to visit a business.
Yelp data becomes fascinating when you take a macro view. This requires scraping business data across hundreds of American cities. By doing this, we have one of the richest business datasets that covers a majority of America. …
Data visualization is one of the most powerful tools in analytics. It’s the best way to make sense of and communicate data to others. While a powerful tool, it is only as useful as the hands they are in. In visualizing data, as in any other field — there are rules, best practices, and guidelines. Of course, there are also mistakes.
I wanted to go over five of the most common mistakes that I’ve experienced and seen. …
Whether you’re trying to build a portfolio to be a stronger data science candidate, or looking to take on a new data-related challenge that can earn you money — I want to make the case the Daily Fantasy Sports is a great candidate for your next project.
What is Daily Fantasy Sports (DFS), and how is it related to data science? DFS mirrors season-long fantasy sports but condenses it into a shorter, more sweat-inducing format. With a lot of sports being book-shelved this year, eSports has also become a popular category under this model.
In DFS, you need to make data informed decisions to build an optimal lineup to compete against other players. It’s a data science project…
One of the most underrated skills that a data scientist can develop is the skill of writing.
Why is this? When we think about the role of a data scientist, it breaks down to four main buckets:
For those in college, two of the most important decisions you’ll have to make are:
Unsurprisingly, these two decisions are closely intertwined. In order to pursue a career in software engineering right out of college, it’s important that you major in computer science. If you want to go into investment banking, economics, or business make the most sense.
Having gone to a competitive school, there was always a lot of chatter around a third topic: What careers are the most lucrative? …