A few weeks ago the wonderful RWeekly mailing list introduced me to a new type of plot - the point density plot. Wonderfully, the ability to make this plot has been added to the R community in the form of a new package, ggpointdensity. From the top line description, it’s a cross between a scatter plot and a 2D density plot. The motivation for creating the package and using this new plot is that the points in scatter plots can overlap one another while the alternative density plots lose the resolution given by plotting indiviudal points.
I’ve been playing around with the data science projects from codeacademy for a few weeks. First I played with stocks data here and here. Today, I’ll be working through the second [codeacademy data science independant project: Watching the Stock Market] This is a continuation of my work on the codeacademy data science independant project #2: Explore a Sample Database. The database for this project is related to a fictional music store.
This is a continuation of my work on the codeacademy data science independant project #1: Watching the Stock Market. My first post on the subject explores how I put gathered the stock data. In my second post, I explored the data using basic sql queries (and put my sql code out into the world for the first time!) After completing the basic challenges from my last post on the topic, there are intermediate and advanced challenges too while playing with these stocks data.
This morning, I just found out about #tidytuesday and I figured it would be a fun thing to play with. For my first foray into tidytuesday, we have data on Bob Ross’s paintings during his show. The data were compiled by fivethirtyeight and reported here. The data are available here. On the info page for the data, they show how to load the data and give an example of some basic tidying.
This is a continuation of my work on the codeacademy data science independant project #1: Watching the Stock Market. My first post is here. In this project, the basic tasks are: What are the distinct stocks in the table? Query all data for a single stock. Do you notice any overall trends? Which rows have a price above 100? between 40 to 50, etc? Sort the table by price. What are the minimum and maximum prices?
I just started working on teaching myself sql and after completing the codeacadmey sql lessons, there are links to independant projects. My goal is to work on these independant projects in the coming weeks. To look ahead (and have a place to find them later outside my pocket list) here’s a list to all five I plan on working on: Watching the Stock Market Explore a Sample Database Education & Census Data Home Value Trends Analyze Airfare Data The first project has us working with stock market data.
Every Friday, five thirty eight comes out with two logic, math, or probability based puzzles - one quick to solve and one that takes a long time to solve. Although I don’t always get a chance to partake, thinking about them is always fun. This week’s quick puzzle related to a problem I’m trying to solve in the office, so I thought I would give this one a try. Taken from their site, the puzzle goes like this:
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