Beamsync is providing analytics courses in Bangalore. You will get training for Data Analytics, Data Scientist, Business Ananalytics along with R tool. For upcoming schedules visit: http://beamsync.com/business-analytics-training-bangalore/

1. Lesson3
BASIC ANALYTIC TECHNIQUES – USING R
Part 1

2. ● Get a basic introduction to R
● Understand exploration of data
● Explore data using R
● Visualize data using R
● Understand diagnostic analytics
● Implement diagnostic analytics using R
Objective Slide
After completing
this course, you will
be able to:
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3. Introduction to R
• Programming language for graphics and statistical computations
• Available freely under the GNU public license
• Used in data mining and statistical analysis
• Included time series analysis, linear and non linear modeling among others
• Very active community and package contributions
• Very little programming language knowledge necessary
• Can be downloaded from http://www.r-project.org/
• R Studio - optional
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4. • Packages -
• install.packages('package_name')
• library(package_name)
• Loading data –
• data(dataset_name)
• read and write functions
• getwd() and setwd(dir)
• read and write functions use full path name
• Example : read.csv(“C:/Rtutorials/Sampledata.csv”).
• Assignment operator : “ <- ”
• Help - ?function_name
Basic R
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5. • Basic functions for data exploration in R
• Data stored as “data frames”
• Data frames – tabular representation of data with rows and columns
• Every row denotes a particular “case”
• Sample data frame (iris data set)
Data exploration using R
Sepallength Sepalwidth Petallength Petalwidth Species
7.9 3.8 6.4 2 I. virginica
7.7 3 6.1 2.3 I. virginica
5.6 2.5 3.9 1.1 I. versicolor
5.6 2.8 4.9 2 I. virginica
5.5 4.2 1.4 0.2 I. setosa
5.5 3.5 1.3 0.2 I. setosa
7.1 3 5.9 2.1 I. virginica
7 3.2 4.7 1.4 I. versicolor
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6. • Iris dataset – built in
data frame
• View data set
• iris
• View first few rows of
the data set
• head(iris, n)
• View last few rows of
the data set
• tail(iris, n)
Viewing data frame
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7. • View the dimensions of the data set
• dim(iris)
• View the number of columns
• ncol(iris)
• View the number of rows
• nrow(iris)
Dimensions of data frame
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8. • View column names/headers
• names(iris)
• View all attributes
• attributes(iris)
Attributes of Data frame
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9. • iris$Petal.Length
• iris* , “Petal.Length”+
View column data
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10. Thank You
Beamsync is providing business analytics training in Bangalore along with
certification. If you are looking for upcoming training schedules then visit:
http://beamsync.com/business-analytics-training-bangalore/