This is a project for the course Getting and Cleaning Data in coursera
R version used to the run this script is R version 3.6.3 (2020-02-29)
- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Uses descriptive activity names to name the activities in the data set
- Appropriately labels the data set with descriptive variable names.
- From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
This project has 2 main files and 1 missing folder
| Name | Description |
|---|---|
| /data | This is a missing folder containing the raw data from UCI Machine learning repository, you should download the data and put it in the data folder before running the code |
| run_analysis.R | This R file has 2 functions, getmergedset and run_analysis, for description what they do please refer to the CodeBook.md |
| CodeBook.md | A mark down file describing what have been done to the raw dataset to make a tidy set. |