Rachael E. Blake's Projects
This is a repository of relevant files for the research and computation on causality in health and related fields.
Learn advanced git techniques with GitHub and RStudio
Use piped workflows for efficient data cleaning and visualization.
Start learning Python with Pandas and Scikit-learn.
Start learning R in RStudio.
Get interactive with the Shiny R package.
Speak to a database in its native language.
Get your data in shape with pandas.
Get your data in shape with tidyr & dplyr.
Various ways to run R code in parallel on the SESYNC SLURM cluster
QDR's git repo for SESYNC cyberhelp code
Package your data and metadata for publication.
eco-data-sci workshop (January 2019) - basic animated graphics with ggplot2 + gganimate
Access Land Data Assimilation System models with OPeNDAP.
Manipulate geospatial data with open source tools.
Use spatial data in NetLogo ABMs.
Perform version control from the command line.
Craft publication-quality graphics with ggplot2.
Fill in the blanks.
code for plotting lepidoptera data
Code to maintain and update the insect establishment dataset.
Code to clean insect data.
Extend your data pipeline with RMarkdown and Shiny.
Make your data safe, scalable and relational.
Library Carpentry: FAIR Data & Software
Make interactive maps in R using the leaflet package.