What is Posit?
At Posit, our mission is to transform data science into a more open, accessible, user-friendly, and collaborative field for all. Our comprehensive suite of tools enables individuals, teams, and organizations to harness advanced analytics for meaningful insights that drive significant change. Since our foundation, we have championed open-source software, including RStudio IDE, Shiny, and tidyverse, as we believe in making data science tools available to everyone. We provide solutions based on R and Python that streamline the analysis process, allowing users to achieve superior results in a shorter timeframe. Our platform promotes secure sharing of data-science applications throughout your organization, emphasizing that the code we create is yours to build upon, share, and utilize for the benefit of others. By simplifying the tasks of uploading, storing, accessing, and distributing your work, we strive to create a seamless experience for you. We are always eager to hear about the remarkable projects being developed globally with our tools, and we value the chance to share these inspiring stories with our community. Ultimately, we aim to cultivate a dynamic ecosystem where data science can thrive and empower everyone involved, fostering innovation and collaboration at every level.
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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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