GithubHelp home page GithubHelp logo

nishantsbi / data-analysis-statistical-inference-2014-project Goto Github PK

View Code? Open in Web Editor NEW

This project forked from maurotrb/data-analysis-statistical-inference-2014-project

0.0 1.0 0.0 2.61 MB

Project of Data Analysis and Statistical Inference Course on Coursera, February 2014 edition.

License: Other

data-analysis-statistical-inference-2014-project's Introduction

Data Analysis and Statistical Inference - Project

Project of Data Analysis and Statistical Inference course on Coursera, February 2014 edition.

About the project

The project studies the relationship between the highest degree earned by United States residents and their family income in constant dollars.

Access to education and its funding is the subject of many discussions on social mobility and redistribution of income. The study explores data from a long running social survey to verify one of the main topic of these discussions: if family income is related to education level.

The study uses General Social Survey (GSS) data for the year 2012.

What you find in this repository

A RStudio project with code tree organized with ProjectTemplate.

The main files are:

  • README.md: this file
  • data/statistic_project_gss.Rdata: raw data in R format
  • LICENSE: copyright and license information
  • build-data-analysis.R: R script to create the analysis document in md, html and pdf format
  • data-analysis.Rmd: analysis document in R markdown format

How to create the analysis document

You have to install R, RStudio, ProjectTemplate, knitr, and Pandoc with a LaTeX distribution that supports XeLaTeX engine.

To create the document:

  1. clone this repository
  2. open RStudio or a R console and set the working directory to src directory (use setwd())
  3. source build-data-analysis.R script

In the src directory you find the files data-analysis.md, data-analysis.html, data-analysis.pdf.

data-analysis-statistical-inference-2014-project's People

Contributors

maurotrb avatar

Watchers

NISHANT UPADHYAY avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.