Meetup recording: The data you were promised…and the data that you got.Here’s an example of how the City of Reykjavík pins models that are used in their Shiny app to show the capacity of pools with Hlynur Hallgrímsson. Pins can be automatically versioned, making it straightforward to track changes, re-run analyses on historical data, and undo mistakes. The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. Meetup Recording: Capacity Planning for Microsoft Azure Data Centers Using R & RStudio Connectĭeploy pins to share data, models, and other R objects across projects and with your colleagues.Here’s an example of how Microsoft’s data scientists use Shiny and own the model development life cycle from data ingestion, model development, model deployment to visualization of insights with Paul Chang. Shiny makes it easy to build interactive web applications straight from R. Of course, start sharing Shiny applications You can also replace any of the examples above with Python because RStudio Connect supports Jupyter, Flask, FastAPI, Dash, Streamlit, Bokeh, mixed R/Python content with reticulate, Python pins, etc. Host microservices via Plumber APIs that connect data science work with your data engineering & development teams.Check out the Connect Server API to utilize usage data that helps answer questions like: Is my CEO using this app?.Use APIs to enable Tableau users at your company to leverage work done by your data science team in R and Python.Use an internally created package to standardize dashboards across the team.Build a custom landing page for business stakeholders to make content discovery easier.Use RStudio with communication channels (like Slack) that are already in use by business stakeholders.
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Schedule automated PDF reports with parameterized R Markdown for business stakeholders.Build a blog to share work & best practices among others at your company and/or help facilitate a meetup group.Deploy pins to share data, models, and other R objects across projects and with your colleagues.I’d love to hear about all the other ways your team is using RStudio Connect and about the cool things you are building too! If you’re interested in sharing your work at a meetup as well, please consider filling out the speaker submission form. On Twitter I posted 10 ways RStudio Connect can give your data science team superpowers and thought it’d be helpful to share here as well. In speaking with the community, I hear about so many different ways that teams are using RStudio Connect and providing value across their companies.
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