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Share & Wrap-up

Session 4

August 12th, 2024
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Agenda

  1. Finish your data exploration (30 min)

  2. Share your progress with your group (30 min)

  3. Wrap-up (recap and resources) (30 min)

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Finish your data exploration

  • Import your data into R (anyone working with files formats other than .csv?)

  • Compute summary statistics to better understand your data -- what types of variables do you have? How much variation is there within certain variables of interest?

  • Follow your curiosity -- what relationships do you want to explore? Come up with one or two questions to investigate.

  • Create at least one plot and one table to explore patterns of covariation in the data

  • (Optional) Create a rendered Quarto report. Add formatting to your document and experiment with different output formats

πŸ•° Until 4:00 PM

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Share your work

  • What did you learn? Where did you struggle?

  • Pick one plot or table and walk through how you created it

πŸ•  Until 4:30 PM

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Wrap-up

  1. Resources + Best practices

  2. Continuing education

  3. Conference schedule

  4. Feedback survey

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1.

Resources + Best practices

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Project-oriented workflows

Use R projects to make your code more organized and shareable

Resources:

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Code style

Consistent style makes your easier to read & debug by your future self and collaborators

Resources:

Image from the Tidyverse Style Guide

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Quarto

quarto.org/docs/gallery

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Quarto (at conf)

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Positron

github.com/posit-dev/positron

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Positron (at conf)

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2.

Continuing education

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rconf.posit.academy

  • You will have continued access to the Academy website for 45 days (Slack channels will stay up until August 30th). Check out optional tutorials and case studies for more practice.

  • You can download milestone materials for later reference. In your Files pane:

    1. Click Home and select the folder(s) you want to export
    2. Click More
    3. Click Export... (and save a .zip file to your computer)

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Books and websites

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More info at posit.co/academy

Posit Academy

Foundations of the Tidyverse (10 weeks) - Import, visualize and wrangle data with the tidyverse and report reproducibly with Quarto

Foundations of Python for Data Science (10 weeks) - Import, visualize data with plotnine, wrangle data with pandas and report reproducibly with Quarto

Programming in R (6 weeks) - Write functions in R, iterate and debug code

Shiny for R (4 weeks) - Build Shiny apps to automate work and make data more user-friendly

πŸ‘‹ Email us academy@posit.co - or ask any Posit employee in the Lounge!

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3.

Conference schedule

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Search for sessions by topic

Browse the session catalog

Download the mobile app

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Social/Networking events

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4.

Feedback

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Your turn

Please go to pos.it/conf-workshop-survey

Your feedback is crucial and informs curriculum and format decisions for future workshops.

We really appreciate you taking the time to provide it :-)

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pos.it/conf-workshop-survey

Thank you so much for being a part of this course + workshop!

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Agenda

  1. Finish your data exploration (30 min)

  2. Share your progress with your group (30 min)

  3. Wrap-up (recap and resources) (30 min)

2 / 22
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