Link to RShiny Dashboard: https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/
This is a repository to store the R Codebase used to produce the Final Project for DS4B 2023. The details of the Assignment instructions are further down this README.md file.
- GitHub Issues were used to manage and implement new features and documentation.
- GitHub Branching was used for most major Issues (see Branch History below).
- GitHub Releases were used to distinguish major developments of the RShiny App.
- GitHub Projects and Milestones were used to manage work timelines Data Science for Biologists (DS4B).
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The invasive_species_dashboard folder contains the entire self-contained RShiny dashboard codebase and data.
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The processed_data folder includes:
- The data_cleaning.Rmd file, which showcases the data cleaning thought process and highlights some of the initial data issues with the raw data.
- There are also several .csv files, including:
- tidied_data.csv is the binded rows of the raw data.
- cleaned_data.csv is the cleaned data, which removed the excluded data.
- dashboard_data.csv is the cleaned data with a few extra columns.
- excluded_data.csv is the excluded data which were identified in data_cleaning.Rmd.
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The raw_data folder includes the seven raw data files. The respective DOIs are listed below:
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The screenshots folder contains .png files that are used in final_project.Rmd
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The scripts folder contains .R files that load, clean, wrangle, manipulate, and visualise the raw data.
- The custom-functions sub-folder contains a bunch of .R files that are functions used in the main .R files.
Your task is to:
- choose a dataset or combination of datasets
- develop some questions/aims related to that dataset, including appropriate background research
- use R to address those questions/aims
- write your findings into a report of up to 2000 words and 10 figures
- summarise your findings in a poster which you will present in the week 12 workshop
Ideally, you should choose a combination of dataset and questions/aims that are interesting to you, because the more interesting you find it, the better your work will be!
Version control using Git was trialed for this assignment, as I wanted to learn more about the uses of Pull Requests and Merging Branches. I used SourceTree to visualise all of my commits/pushes/branch merges.
