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index.Rmd
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---
title: "Home"
site: workflowr::wflow_site
output:
workflowr::wflow_html:
toc: false
editor_options:
chunk_output_type: console
---
Welcome to my exam prep website. The chapters follow the printed version
of `R for Data Science` which is [online](https://r4ds.had.co.nz/) as well.
<strong>Assumptions:</strong>
- You have worked through the material in the physical or online book.
- You have attempted the exercises yourself. Learning by practicing
is a really great way to get acclimatised to the language.
- You understand that like you, I too am on a journey of learning, and therefore
will be kind with mistakes you may pick up.
That being said, I know there's many
ways to tackle problems in R and I never want to put out material that is
fundamentally flawed, so please do let [me](https://twitter.com/sciencificity) know if I have some glaring incorrect content contained within!
<b>Resources I really enjoyed:</b>
- [R for Data Science Community](https://www.rfordatasci.com/)
- [R Studio Education](https://education.rstudio.com/)
- [Primers](https://rstudio.cloud/learn/primers)
### Chapter Exercises
[Chapter 1: Data Viz with ggplot](ch1_ggplot.html) <br>
[Chapter 2: Workflow Basics](ch2_workflow.html) <br>
[Chapter 3: Data Transformation](ch3_dplyr.html) <br>
[Chapter 4: Workflow - Scripts](ch4_scripts_ide.html) <br>
[Chapter 5: Exploratory Data Analysis](ch5_eda.html) <br>
[Chapter 6: Workflow - Projects](ch6_projects.html) <br>
### Miscellaneous
[Publish Xaringan Slides to GitHub Pages](misc_add_xaringan_slides_github.html) <br>
[HTML Learning](html_learnings.html) <br>