Finding Happiness in ‘The Smoke’
The Smoke, to use London’s nickname, has 32 boroughs plus the central business district known as the City of London. What does Cluster Analysis tell us about the characteristics that bind them?
Bootstraps & Bandings
Are the residential property bands of 3 decades ago becoming less so? Would a sample of those recently-sold reveal band convergence? And what may be inferred about those not sampled?
Sea Monsters that Lost their Way
The Natural History Museum began recording cetacean strandings in 1913. For some records the species is uncertain. Could these be predicted using tidymodels and textrecipes?
A Frosty Deal?
Before the post-Brexit trade negotiations concluded, what did quantitative textual analysis and word embeddings tell us about the shifting trade-talk sentiment?
The Goldilocks Principle
The Goldilocks principle has its origins in a story about a girl who tastes bowls of porridge left by three bears. When investing in stocks, how many might be ‘just right’?
Weathering the Storm
Covid-19 began battering the financial markets in February. Which sectors are faring best when comparing each in the S&P 500 with the overall market since February 19th, 2020.
Favourite Things
R packages & functions that make doing data science a joy. Established by aggregating actual usage across quantumjitter projects.
East-West Drift
Animated dimensionality reduction and whether East and West are drifting closer or farther apart based on historical UN voting patterns.
Seeing the Wood for the Trees
There comes a point where the sheer volume of small multiples one wants to visualise requires a different strategy.
Can Ravens Forecast?
Humans have the magical ability to plan for future events. But it’s not quite a uniquely human trait as ravens can match a four-year-old.
Six Months Later
Exploring colour palettes and small multiples with ggplot2.
Criminal Goings-on
Criminal goings-on in a random forest and predictions with other models from the Tidymodels framework.
Plots Thicken
Every story needs a good plot. Which plot types generate the most interest on Wikipedia?
Cluster of Six
Exploring parliamentary voting patterns with hierarchical clustering
Digging Deep
Do we see more planning applications when house sales are depressed?
Surprising Stories
A little interactive geospatial mapping and an unexpected find
House Sales
A series of events, such as the Financial Crisis and the 2016 Brexit vote, that damped down residential property sales in London
Set Operations
When visualising a small number of overlapping sets, Venn diagrams work well. But what if there are more. Here’s a tidy(verse) approach to the exploration of sets and their intersections.
Let’s Jitter
Welcome to the tidyverse with data ingestion, cleaning and tidying. And some visualisations of sales data with a little jittering.