gettingandcleaningdata's Introduction
--- title: "Readme" author: "madhav" date: "May 25, 2017" output: html_document --- ># Getting and Cleaning Data - Course Project * This is the course project for the Getting and Cleaning Data Coursera course. The R script, `run_analysis.R`, does the following: + Download the dataset if it does not already exist in the working directory + Load the activity and feature information + Load the training and test datasets, keeping only those columns which reflect a mean or standard deviation + Load the activity and subject data for each dataset, and merges those columns with the dataset + Merge the two datasets + Convert the `activity` and `subject` columns into factors + Create a tidy dataset that consists of the average (mean) value of each variable for each subject and activity pair. The end result is shown in the file `tidy.txt`.
gettingandcleaningdata's People
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.