What is Posit?
Posit is the open-source data science company committed to building smarter tools that help individuals and organizations unlock the full potential of data. Its flagship editor, Positron, offers an immersive coding experience that combines live console interaction with robust debugging, project management, and production capabilities. Across its product ecosystem, Posit supports publishing dashboards, deploying APIs, sharing Shiny applications, and distributing analytical content securely throughout an organization. Open-source remains foundational to Posit’s mission, giving users the transparency, flexibility, and community-driven innovation necessary for long-term success. Enterprise offerings ensure teams can scale their workflows with proper governance, authentication, and performance guarantees. Cloud services further streamline collaboration by making it simple to store, access, and share work without infrastructure overhead. Posit supports a wide range of industries—from pharmaceuticals and finance to public sector and research—helping each build reproducible, trusted insights. Customer case studies show how organizations like AstraZeneca and municipal governments use Posit tools to accelerate impact. The company also invests heavily in education, offering cheat sheets, hangouts, videos, and community forums that empower practitioners at every skill level. With millions of users worldwide, Posit continues to strengthen the future of open-source data science.
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Statistics and graphs
Date: Mar 23 2022SummaryI've been studying statistics for the last year and RStudio is the easy part. You get a lot of value by visualising stuff and it's easy. It automatically calculates correlations, associations, confidence intervals, prediction intervals, p/t/f values... Even if you just have a straight list of numbers you can get a boxplot, standard deviation, test normality...
PositivePowerful statistical tools.
Good quality customisable plots, all different types using all different data and models.
Easy to import from csv and there's plenty of datasets around if you go looking.
Easy to create and export graphs.
Being able to quickly and easily visualise (and share) data is more useful than I could have imagined. All the "academic" data online is suddenly easy to use.
I haven't even scratched the surface of community created packages, but they're easy to install, not always so easy to use.NegativeYou can get unhelpful syntax error messages.
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The basics work well but sometimes just changing something (eg colours) in specialised plots feels like a hard programming puzzle.
It's mostly straight-forward like "plot(data)", but the commands are written in a programming language and get tricky depending on your needs.
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