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df-slides.qmd
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---
title: ""
logo: "logos/df24-tshirt-2.png"
format: revealjs
---
{fig-align="center"}
##
<iframe width="1313" height="739" src="https://www.youtube.com/embed/5oG0UAHRWOk" title="ASA DataFest 2022 @dukeuniversity" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
## Stats
- 245 participants
. . .
- 67 teams
. . .
- 4 award categories
. . .
- 1 surprise data set
##
{fig-align="center" width="750"}
# Rules {.center}
{fig-align="center" width="800"}
## Presentations {.smaller}
- Stop work at noon on Sunday
- Between noon-12:30pm upload your presentation and write up
- Check slack for room assignment
- First round presentations start at 1pm
- Second (final) round presentations start at 3pm
- Same presentation as before
- All are welcome!
- 4 minutes (sharp!) + up to 5 minute Q&A
- 3 content slides max (+ cover slide with team name if preferred) - PDF preferred, check with organizers for other formats
- 1 page max write up (so the judges can refer back to it during deliberations) - PDF required
## Winning categories
**Four categories in no particular order!**
- Best Insight
- Best Use of Outside Data or Best Statistical Analysis
- Best Visualization
- Judge's Pick
::: callout-note
## Advice
Run your ideas by the consultants to see which might be the best fit for your project, have a back up category in mind.
:::
## Data distribution {.smaller}
Two methods:
1. If using the RStudio/Jupyter containers, data will appear magically for you, find credentials to log-in at check-in counter!
2. If not, download from the link pinned in slack (link will only be available for a short time after kickoff)
- **Read the proprietary statement!**
- Data can only be used for DataFest and should not be shared with anyone outside of DataFest or posted publicly
- Advice: Working with large data can be tricky, if you don't have your own tricks up your sleeves, ask/look for advice on working with large data
## Rules + recommendations
- Do not post the data or the data source publicly
- Wear your name badge at all times
- Stick around the premises --- that's where help, food, raffle prizes, and each others' company is!
## wifi
- If Duke, use what you usually use
- `DukeVisitor` works otherwise
## Activities
- Trivia prizes! (First round this evening!)
- Wrist mobility exercises
- Group photo
- Advice: Stick around :)
## Questions?
Find the organizers near the check-in area or flag down any consultant/staff (in the black shirts)
## What's next?
Tonight:
- Check-in if you haven't already
- Enjoy dinner!
- Trivia
- 12:00a consulting ends
- 2:00a DataFest closes
See the schedule for the most up-to-date info about the event: <https://dukestatsci.github.io/datafest/schedule.html>
## Thank you, sponsors!
{fig-align="center"}
# Meet the data!