This is a collection of notes and reports to highlight some introductory data science concepts
- BasicModelAnalysis
- MyNeighborhood - notebook about using leaflet to visualize geographic data
- BasicDataAnalysis - include notes on linear regression and residuals
This repo has 2 branches, master where the main work is done and the gh-pages used so gitHub can host the content as I do for [linear regression](https://mcliff1.github.io/DataScienceNotes/BasicLinearRegression.html] whcih is also hosted n RPubs
Notes on how to do a general data analysis
Pull out the primary linaer driver and look at the second
Submission of Peer-graded assignment for: Getting and Cleaning data
This repository contains scripts and codebooks to produce tidy data sets from the UCI Human Activity dataset to help identify the human activity, such as Walking, Running, etc based on the sensor data (acceleration and rotation in 3 dimensions) of the users phones.
Code Book outlines process to convert data from source to tidy data sets
- UCI Dataset from Coursera Data from Coursera Site
- Human Activity Recognition Using SmartPhones Description of data from UCI data repository
- CodeBook.md describes the variables, data, and transformations
- README.md overview of file contents and explanation of analysis
- run_analysis.md code to create the tidy data sets