I’ve always been “the math kid”. I obsessed over multiplication tables as a young girl, and I LOVED learning functions and how to graph them. I was always especially enamored with probability and statistics, even from a young age. This started with introduction of simple […]
Let’s take a step into more intermediate data analysis territory *dun dun dun*…. and discuss the self join.
I got an Instagram DM the other day that really got me thinking. This person explained that they were a data analyst by trade, and had years of experience with data concepts. But, they also said that they felt that their technical skills were slightly […]
Which countries are the happiest? This question is extremely difficult to answer. Yet, the World Happiness Report tries its best to report on this topic by ranking 156 countries on how happy their citizens perceive themselves to be. One interesting way to analyze the World […]
Ever since I started my data science journey, I have been fascinated by word clouds. A word cloud (or tag cloud) is a unique data visualization tool for exploring text data through word frequency or significance. This is handy when you have text data and […]
I’ve seen so many fantastic resources about how to start from ground zero and transform yourself into a data scientist. These resources advise to learn Python or R, master data munging and cleaning, understand effective and intentional data visualization, or maybe even to study machine […]
Introduction (aka why do we care?) The daily workflow of a data scientist involves data cleaning, data analysis, data modeling, and organization of the results in a presentable manner. Many languages did not have everything that data scientists were looking for in these areas – […]
Recently, I was lucky enough to stumble upon a great article written in 2019 by Manuel Lima, senior UX engineer at Google, that was full of interesting facts and data visualization tips. In this article Lima starts off by explaining how this list even came […]