Contained in this project:
| Analysis Folder | Task Title |
|---|---|
| Task 1 | Decathalon Results |
| Task 2 | Cake Ingredients |
| Task 3 | Seabird Sightings |
| Task 4 | Halloween Candy Survey |
| Task 5 | Right Wing Authoritarianism Survey |
| Task 6 | Dog Survey |
How to run the tasks:
Each task has:
- two data directories: one raw (dirty) and one clean
- scripts for producing clean data
- an analysis of the data
To run the analysis:
- pull this repository
- open the desired task directory in RStudio
- navigate to the documentation and analysis directory
- open the analysis file
- either:
-
- run all chunks OR
-
- knit to html
To view the analysis results:
after pulling the repository, the analysis file: ____.html should be able to be viewed when opened in a web browser.
The analysis for each task uses the clean data. The cleaning scripts should not need to be run but they are included for reference.
| Task No. | Data Info | url |
|---|---|---|
| Task 1 | Decathalon Data | https://husson.github.io/img/decathlon.csv |
| Task 2 | Cake List | data(cake.ingredients.1961)* |
| Task 3 | Seabirds and Ships | https://www.tepapa.govt.nz/sites/default/files/asms_10min_seabird_counts_final.xls/ |
| Task 4 | Candy Data Info | https://www.scq.ubc.ca/so-much-candy-data-seriously/ |
| Task 5 | RWA Survey Data | https://openpsychometrics.org/_rawdata/ |
| Task 6 | Dog Owner Survey | (https://github.com/dc27/dirty_data_proj_david_c/tree/master/task_6/data/raw_data)** |
*the data can be accessed in R with this command
** this was mock data generated using the realistic random generator:
mockaroo