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 R’s plot and hist functions for exploratory data analysis and all … Continue reading →

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 (with links to both shiny pages so you can have a play).

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 Modelling to Communication, EDA has got much more hidden benefits that aren’t often emphasised while beginners start while teaching 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 Least Squares (OLS), which has the interpretation of a model for … Continue reading →

Let’s say we’ve managed to find an interesting dataset 1 on heights for given countries since 1550 (yup!): country year height_cm continent Afghanistan 1870 168.40 Asia Afghanistan 1880 165.69 Asia Afghanistan 1930 166.80 Asia Afghanistan 1990 167.10 Asia Afghanistan 2000 161.40 Asia Albania 1880 170.10 Europe We’ve got country, year, height (in centimetres), and continent. Neat! Now, let’s look ...

I’ve written a few times about using an image as an x-axis label, and the solutions have been slowly improving. This one blows all of them out of the water. Claus Wilke (@ClausWilke) now has a {ggtext} package which can very neatly add images as x-axis labels! This makes ...

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. One important consideration to be made when developing APIs is how to log information about API requests and responses. This ...

Many news reports scare us with machines taking over our jobs in the not too distant future. Common examples of take-over targets include professions like truck drivers, lawyers and accountants. In this article we will explore how far machines are from replacing us (R programmers) in writing Shiny code. Spoiler ...

In the previous set we started with arithmetic operations on vectors. We’ll take this a step further now, by practising functions to summarize, sort and round the elements of a vector. Sofar, the functions we have practised (log, sqrt, exp, sin, cos, and acos) always return a vector with ...

The tsbox package makes life with time series in R easier. It is built around a set of functions that convert time series of different classes to each other. They are frequency-agnostic, and allow the user to combine time series of multiple non-standard and irregular frequencies. A detailed overview of ...

The Red Tide Visualization App offers a quick, interactive snapshot of harmful algae blooms, or 'Red Tide,' observed in the Gulf of Mexico from 2000 to 2018.  This app allows the user to examine 6,000 algal blooms recorded by the National Oceanic and Atmosphereic Association's harmful algae bloom observation system and their ...