Virtual event- Tidy Tuesday!
Details
*What are we going to do?
Tidy Tuesday (https://github.com/rfordatascience/tidytuesday) is a social weekly event where you can practice you data wrangling and visualisation skills using real-world data in a safe and supportive forum! Every Tuesday a new dataset is released.
*Who is going to present?
This is not a presentation. Please expect a hands-on session in a friendly and laid-back atmosphere where we are all encouraged to learn together. On the night, we will use the dataset released on Tuesday July 27th, divide into groups, and work and learn together to produce interesting visualisations. This will be an opportunity to work on real-world data in a collaborative environment, as well as to practice sharing your code on GitHub and with the online Twitter community.
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When are we meeting?
The hands-on will start at 5:30 pm for 1.5 hour. Please arrive on time! After the coding part we can have a social event for the last 30 minutes, and show each other what we achieved. End time 7:30 pm. -
Where are we meeting?
We will meet virtually using Zoom, the link will be visible to people who RSVP. -
What else is needed?
Feel free to download and start working on the dataset prior to the event!
The data for each week is available on the Tidy Tuesday website: https://github.com/rfordatascience/tidytuesday/tree/master/data/2021 Week 31.
Software requirements:
- R (Free at https://cran.r-project.org/)
- RStudio (Free at https://www.rstudio.com/products/rstudio/download/)
Resources:
Data Visualization https://clauswilke.com/dataviz/
Wrangle your data with dplyr - https://allisonhorst.shinyapps.io/dplyr-learnr/
Colour Palettes:
Wes Anderson Colour Palette https://github.com/karthik/wesanderson
Studio Ghibli Colour Palette https://ewenme.github.io/ghibli/
Calecopal (inspired by different California ecosystems and created by An Bui!) https://github.com/an-bui/calecopal
Sci-Fi Themed Colour Palette https://cran.r-project.org/web/packages/ggsci/vignettes/ggsci.html
Inspiration:
Collection of best tidy tuesday plots https://www.cedricscherer.com/2019/12/30/best-tidytuesday-2019/
https://twitter.com/hashtag/TidyTuesday
Looking forward to data wrangling with you!
R-Ladies Brisbane
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