An analysis of user-created Sankey diagrams from Reddit, visualizing personal Tinder match data and dating outcomes.
A tutorial on creating and customizing scatter plots using the ggplot2 package in R for data visualization.
A tutorial on creating line graphs in R using the ggplot2 package's geom_line function, with examples using the built-in Orange dataset.
A tutorial on creating an animated bar chart race in R to visualize the changing population rankings of US cities from 1790 to 2010.
Analysis of PHP's limitations for machine learning, focusing on visualization, Jupyter support, and GPU capabilities compared to Python.
A technical tutorial on creating animated cartograms in R to visualize global population growth and distribution from 1800 to 2100.
A workshop tutorial on using Pangeo tools and Met Office weather data for business decision-making, like a ferry schedule.
An introduction to graph theory using examples from Facebook, Game of Thrones, and social relationships to explain network concepts.
A guide on how to customize ggplot graphs to match your company's visual branding, making your data visualizations stand out and be more impactful.
A technical tutorial on using the R plotly package to create interactive Gantt charts for project planning, specifically for a PhD thesis.
A tutorial on creating an animated world population cartogram from 1800 to 2100 using R, open data, and open-source geospatial libraries.
Introduces the 'sabre' R package for quantitatively comparing two categorical maps or regionalizations to measure spatial similarity.
A data science tutorial using Leaflet to map Wellington bus locations and lateness, analyzing real-time transit data with R.
A tutorial on creating a glass-shattering animation in R using the gganimate package to announce a monthly data science book giveaway winner.
A technical tutorial on generating color palettes in R using various packages, inspired by movie posters and applied to Archer TV show artwork.
A tutorial on using R packages to download, process, and visualize global life expectancy data from the World Bank API.
A technical analysis of Stack Overflow's 2018 survey data, visualizing global developer response rates per capita using Python, pandas, and GeoPandas.
A data scientist shares ideas for micro-projects for the Summer of Data Science, including manual annotation, package comparisons, and resource curation.
A technical tutorial on using Python, pandas, and geospatial data to create a world map visualizing the origins of metal bands from a dataset.
Presentation slides for a Power BI tips and tricks talk at DataBISummit, available for download.
