Working with Statistics Canada Data in R, Part 2: Retrieving CANSIM Data
A detailed tutorial on using R to retrieve and clean Statistics Canada CANSIM data, step-by-step.
2019
R for trial and model-based cost-effectiveness analysis
29-30 June 2020, University College London
Training event (29 June): Torrington (1-19) 113 - Public Cluster, 1-19 in Torrington Place (https://goo.gl/maps/RtR3Ypug2Dq), University College London, United Kingdom
Main workshop (... [Read more...]
Favorite R Packages
Sourcing
readr - fast and friendly way to read rectangular data (i.e. csv, tsv)
RODBC - SQL querying against relational databases
readxl - importing Excel files including individual worksheets
rvest - tools for working with http connections
rio - ... [Read more...]
Visualizations
A collection of data visualizations I have built for fun using the R programming language. All visualizations are produced via code without post-processing.
The examples source data from the weekly R4DS #TidyTuesday project, which is a community fo...
The state of R in Africa
Growth of the R ecosystem in Africa
Over the past 2 years, we have seen R transform from just an academic and health care research language to one of the major languages in the budding data science community in Africa. For a long time, data scientis...
The state of R in Africa
Growth of the R ecosystem in Africa
Over the past 2 years, we have seen R transform from just an academic and health care research language to one of the major languages in the budding data science community in Africa. For a long time, data scientis...
Speed boosting in R: Writing efficient code & parallel programming
Have more things happen at once: Parallel Programming
Parallel processing is about using multiple cores of your computer’s CPU to run multiple tasks simultaneously. This enables you to complete the same task multiple times quicker!
In R, usually computations run sequentially. When we initiate multiple tasks they are performed ...
R for trial and model-based cost-effectiveness analysis
29-30 June 2020, University College London
Training event (29 June): Torrington (1-19) 113 - Public Cluster, 1-19 in Torrington Place (https://goo.gl/maps/RtR3Ypug2Dq), University College London, United Kingdom
Main workshop (30 June): Room G12, 1-19 in Torrington Place (https://goo.gl/maps/RtR3Ypug2Dq), University College London, United Kingdom.
... [Read more...]
GIS Day!
Yesterday was a GIS Day! Congratulations to everyone who loves maps, GIS, and working with spatial data! And as you may have guessed from my choice of this blog’s header image, I am one of those people. So, to mark the day, here are some links to great sources ... [Read more...]
The hidden diagnostic plots for the lm object
When plotting an lm object in R, one typically sees a 2 by 2 panel of diagnostic plots, much like the one below: This link has an excellent explanation of each of these 4 plots, and I highly recommend giving … Continue reading →
Gold-Mining Week 11 (2019)
Week 11 Gold Mining and Fantasy Football Projection Roundup now available.
The post Gold-Mining Week 11 (2019) appeared first on Fantasy Football Analytics.
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Data-Driven Tracking and Discovery of R Consortium Activities
by Benaiah Ubah R is a fast-growing language for statistical computing and graphics backed by a powerfully inclusive community of users and developers. The R community received a significant boost...
The post Data-Driven Tracking and Discovery of R Consortium Activities appeared first on R Consortium.
GIS Day!
A collection of links to some great R-spatial resources, sources of geospatial data, and other GIS-related stuff that you may find useful. [Read more...]
Factor Modeling in R
The most popular models for analysing the risk of portfolios are factor models, since stocks have a tendency to move together. The principal component of securities often explains a large share of it’s variance. Since we are mostly concerned with multiple assets which form a portfolio we need to ...
IPO Exploration Part Two
In a previous post, we explored IPOs and IPO returns by sector and year since 2004. Today, let’s investigate how portfolios formed with those IPOs have performed. We will need to grab the price histories of the tickers, then form portfolios, then calculate their performance, and then rank those performances ... [Read more...]
workloopR: Analysis of work loops and other data from muscle physiology experiments in R
Studies of muscle physiology often rely on closed-source, proprietary software for not only recording data but also for data wrangling and analyses. Although specialized software might be necessary to record data from highly-specialized equipment, data wrangling and analyses should be free from this constraint. It’s becoming more common for ... [Read more...]
Machine Learning in R: Start with an End-to-End Test
As a data scientist, you will likely be asked one day to automate your analysis and port your models to production environments. When that happens you cross the blurry line between data science and software engineering, and become a machine learning engineer. I’d like to share a few tips ...
Durban EDGE DataQuest
The Durban EDGE (Economic Development and Growth in eThekwini) DataQuest was held at UKZN (Westville Campus) on 13 November 2019. Participants were tasked with creating something interesting and useful with the civic data on the new Durban EDGE Open Da...
Durban EDGE DataQuest
The Durban EDGE (Economic Development and Growth in eThekwini) DataQuest was held at UKZN (Westville Campus) on 13 November 2019. Participants were tasked with creating something interesting and useful with the civic data on the new Durban EDGE Open Data Portal developed by Open Data Durban.
These datasets were available:
EThekwini Water ...
R scripts as command line tools
Most R users rely heavily on the interactive console for writing and executing code, but sometimes you will want to expose your work to a world outside of that cosy cocoon. One solution is to wrap a web API around your code, for instance using the excellent {plumber}. The other ... [Read more...]
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