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Data Science Track - Coursera; (11/21/17 used for Getting and Cleaning Data Project Submission)

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Data Science Notes

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

Data Analysis

Notes on how to do a general data analysis

Residuals Study

Pull out the primary linaer driver and look at the second

Getting and Cleaning Data - Course Project

Submission of Peer-graded assignment for: Getting and Cleaning data

Overview of Analysis

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

References

Repository Contents

  • 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

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Data Science Track - Coursera; (11/21/17 used for Getting and Cleaning Data Project Submission)

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