With the new Premier League season kicking off, I plan to produce plenty of posts over the coming months I have yet to organize it all but the idea is to present tables and charts without embedded code. Hopefully, I will get around to publishing it on Github So let’s start of with a couple of different areas of interest
Starting survivors 220 keen players will start the season - but how often does the Game one starting lineup reflect who plays most for the team throughout the season?
My last post was a first look at StatCan data which highlighted that there was a lot of data available but that it was not necessarily easily available or perfectly presented
Since then (and apologies where due), I have come across a couple of APIs
First-off, StatCan do have a developers page one of which provides access to hundreds of indicators in JSON format.
I have plans to hive off the soccer/football section off to a separate blog as many sports readers will not be interested in code but until then, here is my latest effort
As the new season is now upon us it was time to post a new article. I have also been intending to pen something based around James Curley’s excellent engsoccerdata package which anyone interested in R and European football should definitely check out
Statistics Canada make available masses of useful data from Censuses and Surveys.
One way they communicate is via twitter e.g.
library(blogdown) shortcode("tweet", "891757886011002883")
In 2001, 31% of young adults (aged 20 to 34) were still living with their parents. Any change in 2016? Stay tuned! https://t.co/lUMBplYJWW pic.twitter.com/4CA3DvhuNw
— Statistics Canada (@StatCan_eng) July 30, 2017 Since January 2013 have also issued monthly blog posts covering a wide range of social and economic matters of interest
When Babe Ruth first retired from baseball he found it tough. Without the protection of the Yankees PR department his various, and widespread, indiscretions were fodder for the yellow press and the reluctance of anyone to give him a managerial position was humiliating
So he became a virtual recluse mainly fly-fishing, painting water-colours and studying the lives of contemporary artists. It was during the late 1930’s that he discovered that his favourite painter, Wassily Kandinsky, was alive and living in France.
On the front page of my premiersoccerstats site, I have a Player Milestones table which highlights players who have reached certain levels in the Premier League’s latest round of games e.g. 100 Appearances
This requires comparing two datasets and subsetting the rows with differences in the variable of interest. To this end, I use the daff package which was the subject of a presentation at the recent R User 2017 conference
Of course, it is not the same as actually being there, but as a good fall-back the videos of the talks for the R User 2017 conference are now available on channel 9.
I’ll be dipping into them over the next few weeks and reporting on any I find of interest.
Let’s kick-off with the padr package from Edwin Thoen. It is on CRAN
There are issues with packages in this post. Here are author comments weatherData
“All, yes looks like WU is no longer making it easy to get CSV files without API’s. If anyone figures out a URL for directly fetching CSV’s, I will modify the package. But until then, we are stuck” ggjoy
“All code has been moved over to package ggridges. As of this version, ggjoy simply calls ggridges and re-exports relevant functions under the old name.
Keeping up with the theme of utilizing official government open data to map via an R package I will now turn to the eurostat package which accesses data - via an API - from the European Commission.
First released in 2015, there is an article (wuth R code) by its authors in the most recent issue of the R Journal,9⁄1 which makes for an interesting read covering a variety of topics
Geography was not my favourite subject as a high-schooler: maybe having a teacher who smoked a pipe in the classroom had somethiing to do with that. In fact, I swiched to Ancient Greek as an option as soon as I could: it was that bad However, for some time I have loved early maps and have this one (regrettably not the original) on my wall at home
Recently I have been captivated at how modern ones can be used for socio-economic analyses with leading publications such as the Economist and 538 regularly producing maps using open data in their articles.