R You Ready - 1st Session_v2

8/12/2019 R You Ready - 1st Session_v2

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Ru ready


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Divide and win

Group Red

Sravika

Radhika Reddy

Mamatha

Group Green

SudharsanReddy Yettapu

Swapna C

Grou

Vinit

Madh

Nave


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So Why R???

Its free Yes we dont have to pay to buy licence It has a robust community used by academics and re

around the world

Graphics and data visualization lattice, ggplot2 (we later)


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Basics of Data structure in R Vector- The fundamental of data structure in R. All the e

a vector must be of the same type

Integer (numbers without decimals) Numeric (numbers with decimals) Character (text data) Logical (TRUE or FALSE values)

Factors- A factor is a special case of vector that is solelyrepresenting nominal variables

List- special type of vector, unlike a vector that requires elements to be the same type, a list allows different typevalues to be collected

Data frame - a structure analogous to a spreadsheet or dasince it has both rows and columns of data

Matrix- A matrix is a data structure that represents a twodimensional table, with rows and columns of data. R matrcontain any single type of data


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Vector

paitent_name


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Factors

An advantage of using factors is that they are generalefficient than character vectors because the categoryare stored only once. Rather than storing MALE, MALEFEMALE, the computer may store 1, 1, 2. This can savmemory

gender


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List Unlike vector that requires all elements to be the same type, a list allows different

values to be collected. Due to this flexibility, lists are often used to store various tyand output data

subject1


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Data frame

In R terms, a data frame can be understood as a list oor factors, each having exactly the same number of vaBecause the data frame is literally a list of vectors, itcombines aspects of both vectors and lists

pt_data


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Some useful function for data frame

How to read/load data in R read.csv (file name.csv, header =T, stringsAsFactors = FA

read.table( file name, header = T, sep = ,, stringsAsFacFALSE)

"csv" for comma-separated and "tab" for tab-separated

read.csv (file.choose(),header=T) (select the file)

How to save data in R write.csv(pt_data, file = "pt_data.csv")

save(pt_data, file = "pt_data.RData")


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Lets start Running

rm (list =ls()) to remove data already in getwd () show the path where R operates

setwd ("D:/R learning/first class") to change th

install.packages (ca, dep=T)

library (ca)

library (help=ca) ----- tells about the package Help for any function

?read.csv () ??read.csv () Google/youtube


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Exploring and understanding data

df


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Exploring and understanding data

table(df$year) table(df$model)

table(df$color)

color_percentage


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Case Study 1 Brand perception

How my brand is different from competition What consumer think of my Nokia vis a. viz Samsumg,

Micromax, HTC

Is my brand differentiated compared to competition

So how you as a analyst can help brand managerto solve above problem?


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Data for Correspondence Analysis

rm (list =ls())

df


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What Next???

Need to work on one case studies with these 2 techneach team

Assignment should be submit before Thursday

You need to take the data from Canon Wave 2 /Dentsu

Next Session --- 23/05/2014

Documents

R You Ready - 1st Session_v2