Data Structures & Algorithms With Python
Kent D. Lee & Steve Hubbard
TidyTuesday Projects
A showcase of my data analysis and visualization projects from TidyTuesday, a community data science initiative. You can explore all of my projects in my GitHub repository.
Featured Highlights: Two random projects are showcased below. Refresh the page to see different projects!
R packages
A small sample of ones I use regularly.
Data wrangling
- cli - Command line interface tools
- tidyverse - Collection of data science packages
- worrms - World Register of Marine Species client
Data analysis
- vegan - Community ecology package
Plotting
- gganimate - Animated ggplot2 graphics
- ggblanket - Simplified ggplot2 wrapper
- ggOceanMaps - Ocean and land maps
- ggstream - Stream plots in ggplot2
- ggtext - Rich text rendering for ggplot2
- MetBrewer - Color palettes from the Met Museum
- patchwork - Compose ggplot2 plots
- sf - Simple features for spatial data
- sp - Spatial data classes and methods
- plotly - Interactive web graphics
Books and Literature
A selection that I always seem to refer back to.
Data Visualization with R
Rob Kabacoff
Practical Statistics for Data Scientists, 2nd edition
Peter Bruce, Andrew Bruce & Peter Gedeck
Building reproducible analytical pipelines with R
Bruno Rodrigues
Other Resources
A selection of resources that I have found useful.
Data Science Resources (Github)
The Big Book of R
Infographics and Cheat Sheets
Links to original source included.
Data Import with the tidyverse
Data Tidying with tidyr
Data Transformation with dplyr
Data Visualization with ggplot2
Spatial manipulation with sf
Write and Render with Markdown
