to Carson's personal site.
I'm an independent consultant helping organizations generate data-driven products & insight. Every year, tens of thousands of people learn how to build data products for free using software I've developed. My experiences developing, using, and teaching prominent data science software facilitates rapid creation of interfaces that support data analysis tasks.
I develop software interfaces (graphical & programmatic) that enable myself and others to do data analysis in a more efficient, reproducible, and appealing way. Here are some examples:
plotly, which allows one to create interactive web graphics without any understanding of web technologies. This interactive demos the award-winning linked-views paradigm, in which, high-level R code generates standalone HTML (making the result easy to share/host/deploy)." />
shiny app, shipped with the R package zikar, allows one to graphically query Zika virus reports anywhere in the world. I've been developing shiny apps since it was released in 2012 and keep source code/links for my public apps here (including the user showcase apps ggtree and LDAelife)." />
R package for web-based interactive topic model visualization. More specifically, it aids interpretation of topics from a topic model that has been fit to a corpus of text data. This example explores a model fit to a corpus of movie reviews (interactive and full reproducible report). For more examples and methodology behind LDAvis, see the readme." />
rOpenSci's mission of: 'creating software tools that lower barriers to working with scientific data sources on the web'. One way I contribute to this mission is by maintaining the R package plotdap, which makes it easy to visualize spatio-temporal NOAA data (the animation of wind speed here was created ." />
BCIC data visualization challenge and was awarded $10,000. The application is available here."/>
pitchRx which makes it easy to acquire MLBAM Gameday data and visualize PITCHf/x." />
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