Charan H U charanhu

Getting and Cleaning Data Quiz 3 (JHU) Coursera

Question 1

The American Community Survey distributes downloadable data about United States communities. Download the 2006 microdata survey about housing for the state of Idaho using download.file() from here:

https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Fss06hid.csv

and load the data into R. The code book, describing the variable names is here:

R Programming Project 1

github repo for rest of specialization: Data Science Coursera

For this first programming assignment you will write three functions that are meant to interact with dataset that accompanies this assignment. The dataset is contained in a zip file specdata.zip that you can download from the Coursera web site.

Although this is a programming assignment, you will be assessed using a separate quiz.

The zip file containing the data can be downloaded here: specdata.zip [2.4MB]


	Selection: 15


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	\| One of the greatest strengths of R, relative to other programming languages, is the ease with which we can create publication-quality graphics. In this lesson,
	\| you'll learn about base graphics in R.

	election: 12


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	\| Whenever you're working with a new dataset, the first thing you should do is look at it! What is the format of the data? What are the dimensions? What are the
	\| variable names? How are the variables stored? Are there missing data? Are there any flaws in the data?

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	Selection: 6


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	\| In this lesson, we'll see how to extract elements from a vector based on some
	\| conditions that we specify.

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	1
	Take a look at the 'iris' dataset that comes with R. The data can be loaded with the code:

	library(datasets)
	data(iris)

	A description of the dataset can be found by running

	?iris

	1
	The R language is a dialect of which of the following programming languages?
	S

	2
	The definition of free software consists of four freedoms (freedoms 0 through 3). Which of the following is NOT one of the freedoms that are part of the definition?
	The freedom to prevent users from using the software for undesirable purposes.

	3
	In R the following are all atomic data types EXCEPT

	"%p%" <- function(left, right){
	paste(left, right)
	}