In a previous post, we explored the dividend history of stocks included in the SP500, and we followed that with exploring the dividend history of some NASDAQ tickers. Today’s post is a short continuation of that tech dividend theme, with the aim of demonstrating how we can take our previous work and use it to quickly visualize research from...
Yesterday I released an ebook on Leanpub, called Modern R with the tidyverse, which you can also read for free here. In this blog post, I want to give some context. Modern R...
In this post, We’re simply going to see 5 tricks that could help improve your tooling using {tidyverse}. Create a difference variable between the current value and the next value This...
We're RStudio Trainers! Big news. RStudio recently started certifying trainers in three areas: the tidyverse, Shiny and teaching. To be certified to teach a topic you have to pass...
Robert Duff (Transport for London) and Rahulan Chandrasekaran (Department for Transport) Robert and Rahulan are doing a joint presentation titled ‘Let me in! Let me on! Quantifying highly frustrating...
In time series context, one of most the commonly used measures is the MAPE. In this blog post, I evaluate critical arguments and weaknesses concerning the MAPE and demonstrate...
This post will discuss ways of handling huge numbers in R using the gmp package. The gmp package The gmp package provides us a way of dealing with really...
During a search for data on programming language usage I discovered Stack Overflow Trends, showing an interesting plot of language tags appearing on Stack Overflow questions (see below). Where...
At the Summer School of the Swiss Association of Actuaries, in Lausanne, I will start talking about networks and insurance this Friday. Slides are available online
If you’re like me, when running a process through a loop you’ll add in counters and progress indicators. That way The post Fun with progress bars: Fish, daggers and...
There are so many wonderful EARL talks happening this year – it’s hard to highlight them all! But we thought we’d share some that the Mango team are really...
Wrangling Big Data is one of the best features of the R programming language, which boasts a Big Data Ecosystem that contains fast in-memory tools (e.g. data.table) and distributed...
rOpenSci HQ rOpenSci received a $678K award from the Sloan Foundation to expand Software Peer Review. We are hiring for a new position in statistical software testing and peer review. Join our...
At the Summer School of the Swiss Association of Actuaries, in Lausanne, I will start talking about text based data and NLP this Thursday. Slides are available online Ewen...
Many if not most data clean up, tidying, wrangling, and joining can be done directly in R. There are many advantages to this approach – i.e. read in data...
Reducing carbon emissions is maybe the world's most pressing challenge at the moment. One obvious avenue for action is the reduction of carbon emissions from electricity generation, which are...
vtreat is a DataFrame processor/conditioner that prepares real-world data for supervised machine learning or predictive modeling in a statistically sound manner. vtreat takes an input DataFrame that has a...
Planning for a trip to Cornwall, I was churning through some mysteries there, largely picking them at random from the map. I worked my way through this one by...
This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read for free here. This is taken from Chapter 8, in which I discuss...
1. Fit your repeated-measures model with lmer 2. Define the contrast(s) of interest 3. Run the bootstrap Summary A while back I wrote a post demonstrating how to bootstrap follow-up contrasts for repeated-measure...
At the Summer School of the Swiss Association of Actuaries, in Lausanne, following the part of Jean-Philippe Boucher (UQAM) on telematic data, I will start talking about pictures this...
We will be speaking at the Tuesday, September 3, 2019 BARUG. If you are in the Bay Area, please come see us. Nina Zumel & John Mount Practical Data...
I was recently working on a supervised learning problem (i.e. building a model using some features to predict some response variable) with a fairly large dataset. I used base...
The Prudential London-Surrey 100 is an annual cycling event for amateur cyclists. This article describes the public Shiny page riders use to analyse how they and their club performed...
EDA (Exploratory Data Analysis) is one of the key steps in any Data Science Project. The better the EDA is the better the Feature Engineering could be done. From...
Last week, We talked all about Artificial Intelligence (also Artifical Stupidity) which led me to think about the foundation of Data Science that's the Data itself. I think, Data...
By Gabriel Vasconcelos Introduction Today we are going to talk about quantile regression. When we use the lm command in R we are fitting a linear regression using Ordinary...
One approach of using random number generation inside a function without affecting outer state of random generator. Prologue Let’s say we...
The plumber R package is used to expose R functions as API endpoints. Due to plumber’s incredible flexibility, most major API design decisions are left up to the developer....
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