This repo implements the course project of the Coursera "Getting and Cleaning Data" course 2015.
- README.md is this file
- run_analysis.R script performs all the processings of the data
- CodeBook.md describes the variables, the data, and any transformations or work that are performed to clean up the data
To run the analysis from the command line: R --no-save < run_analysis.R The script will download the data and save it in the current directory as data.zip. The script automatically uncompress the package and run the analysis. When finished you will have the result in the tidyDS.txt file.
Package requirements:
- plyr
- dplyr
sessionInfo(): R version 3.2.1 (2015-06-18) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 14.04.2 LTS
locale:
[1] LC_CTYPE=it_IT.UTF-8 LC_NUMERIC=C LC_TIME=it_IT.UTF-8 LC_COLLATE=it_IT.UTF-8
[5] LC_MONETARY=it_IT.UTF-8 LC_MESSAGES=it_IT.UTF-8 LC_PAPER=it_IT.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=it_IT.UTF-8 LC_IDENTIFICATION=C
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] dplyr_0.4.2 plyr_1.8.3
loaded via a namespace (and not attached): [1] lazyeval_0.1.10 magrittr_1.5 R6_2.0.1 assertthat_0.1 parallel_3.2.1 DBI_0.3.1 tools_3.2.1 Rcpp_0.11.6
RStudio Version 0.99.465