and the numbers that love them...
and some other numbers...
These posts are the most datalicious...
Writing this a good bit late but whatevs… So as my Learn SQL Basics for Data Science Specialization (UC Davis, Coursera) began to wind down, it came time to decide, what’s next? I realized that I really like SQL. And even though not all the classes in the Learn SQL Specialization were wonderful (looking at you Spark), I decided I […]
So, when we left off we were looking at population, GDP per capita, and urbanization metrics. Nothing jumped out except the urbanization… (tl;dr the first five posts in this series… I’m looking at connections between population and economic metrics and country success at the olympics. To start at the beginning, check out part 1.) (Standard warning in all my posts. I’m […]
Ok. So I have my main working tables, Athletes and Countries, (finally) done… (tl;dr the first four posts in this series… I’m looking at connections between population and economic metrics and country success at the olympics. To start at the beginning, check out part 1.) (Standard warning in all my posts. I’m a beginner. Nothing below should be taken as the […]
OK. So I just figured out what to do about countries being called different names across datasets are two Congos are now “Congo (Kinshasa)” and “Congo (Brazzaville)”. I worry though, I’ll have to deal with this issue again… (tl;dr the first three posts in this series… I’m looking at connections between population and economic metrics and country success at the […]
And back to work. When we left off I had just built the Countries DATAFRAME… (tl;dr the first two posts in this series… I’m looking at connections between population and economic metrics and country success at the olympics. To start at the beginning, check out part 1.) (Standard warning in all my posts. I’m a beginner. Nothing below should be […]
Ok. Back to work on the capstone for Learn SQL Basics for Data Science (via Coursera). I’m trying to look at the connections between a country’s population and economic metrics and success in the olympic games. I’ve collected all the data, gave it a quick look, and now it’s time to dig in. (If you want to see how I […]
(Standard warning in all my posts. I’m a beginner. Nothing below should be taken as the best way of doing things, a good way of doing things, or even a right way of doing things. If you think you know better than me, you probably do. Please comment with better practices) So, I was working on my first week’s assignment […]
So we’ve come to the last course in the Learn SQL Basics for Data Science specialization from UC-Davis (via Coursera), the capstone project. Here we supposedly take what we learned during the other courses and make something. Really, though, in the early days of this course I’m still learning a lot. So I’m writing this series of posts as a […]
(What is this project I’m writing about? I have a pretty detailed description here.) The first thing I’m noticing is that I’m taking this project very seriously. This is a project that I feel like I could provide a minimally acceptable product and pass and move on. I’m not doing that. I think there are 2 reasons: This is a […]
So, with pandemic kicking in, I decided to do what most people in the world decided to do, study Python and start playing disc golf. My disc golf career is of to a spectacular start, but you’re probably not here to read about that. Many newbies, including myself, who wanted to study Python and were either not afraid of paying […]