A roundup post celebrating the CRANniversary of the ggraph R package, highlighting its features and community tutorials for network visualization.
A technical tutorial on using Python and pandas to process electricity data and load it into OmniSci (formerly MapD) for dashboard creation.
A tutorial on installing OmniSci (formerly MapD) using Docker and loading data for GPU-accelerated SQL analytics and visualization.
An update on the 'Geocomputation with R' book, covering progress on chapters about spatial data, analysis, and future plans for advanced methods.
A personal selection of the author's favorite conference talks from 2017, covering web development, data visualization, and browser technology.
A data scientist's 2017 year in review, highlighting top R, Python, and data visualization resources and projects shared each month.
Introducing heatmaply, an R package for creating interactive, shareable cluster heatmaps for data visualization and online publishing.
A brief review of Refind, a tool that curates links from tweets into a browsable format for discovering tech articles and resources.
A data scientist explores using the Papyrus font in R and ggplot2, analyzing Avatar box office data with custom visualizations.
A critique of data visualization choices in a KCSE exam analysis, comparing heat maps to line graphs for clarity.
A tutorial on creating custom bar charts in React using SVG components, without relying on external charting libraries.
The Gamma project simplifies data visualization creation with a new four-step guide, allowing users to upload CSV data and build interactive charts.
A summary of a two-day workshop introducing R programming, data processing, visualization, and spatial analysis for beginners in geography and GIS.
Announcing a public lecture series honoring statistician Ross Ihaka, featuring talks on statistical computing, data visualization, and data journalism.
A developer explains their Twitter bot that monitors and visualizes Auckland bus delays using GTFS data and R packages.
Critique of the classic iris dataset as a misleading example in modern machine learning education, exploring its original scientific purpose.
A technical guide on using Kibana Timelion to calculate and visualize the difference between current data and data from one week ago.
A guide to using Kibana Timelion for time series analysis, covering installation, basic queries, data manipulation, and integrating external data from Quandl.
A guide for academics with math/physics backgrounds transitioning into data science, covering skills, learning paths, and practical advice.
A tutorial on using D3.js to create a reusable bar chart for data visualization, using a sample dataset of team members.
