Index

A

• aggregation operations
  • about / Aggregation operations on the data
  • mean / Mean
  • median / Median
  • sum / Sum
  • minimum / Maximum and minimum
  • maximum / Maximum and minimum
  • standard deviation / Standard deviation
• Apriori analysis
  • about / Apriori analysis
• Apriori sequence analysis
  • about / Apriori sequence analysis
  • reference link / Apriori sequence analysis
  • business cases / Business cases
• arithmetic operations
  • about / Arithmetic operations on the data
• association rule analysis, parameters
  • support / Support, confidence, and lift, Support
  • confidence / Support, confidence, and lift, Confidence
  • lift / Support, confidence, and lift, Lift
• autoregressive integrated moving average (ARIMA)
  • used, for forecasting / Forecasting using ARIMA
  • order parameter / Forecasting using ARIMA
  • order parameter, URL / Forecasting using ARIMA

B

• bivariate analysis
  • about / Bivariate analysis
• box plot
  • plotting, for descriptive statistics / Box plot
• break control structure
  • about / Control structures – repeat and break

C

• Cassandra
  • about / Reading data from a database
• centroid-based clustering
  • about / Centroid-based clustering and an ideal number of clusters
• clustering
  • datasets, using / Datasets
  • datasets, reading / Reading and formatting the dataset in R
  • datasets, formatting / Reading and formatting the dataset in R
  • business use cases / Business use cases
• clusters
  • ideal number, obtaining / Centroid-based clustering and an ideal number of clusters
  • implementing, K-means algorithm used / Implementation using K-means
  • visualizing / Visualizing the clusters
• comma-separated values (CSV) format
  • about / Reading data from different sources
• connectivity-based clustering
  • about / Connectivity-based clustering
  • visualizing / Visualizing the connectivity
• control structures
  • about / Control structures in R
  • if and else / Control structures – if and else
  • for / Control structures – for
  • while / Control structures – while
  • repeat / Control structures – repeat and break
  • break / Control structures – repeat and break
  • next / Control structures – next and return
  • return / Control structures – next and return
• cross tabulation analysis
  • about / Cross-tabulation analysis

D

• data
  • reading, from different source / Reading data from different sources
  • reading, from database / Reading data from a database
  • preparing, for analysis / Bringing data to a usable format
• dataframe
  • about / Variable data types
• data operations
  • performing / Performing data operations
  • arithmetic operations / Arithmetic operations on the data
  • string operations / String operations on the data
  • aggregation operations / Aggregation operations on the data
• data preprocessing
  • techniques / Data preprocessing techniques
• dataset
  • plotting / Plotting, Dataset
• data types
  • about / Data types in R
  • variable data types / Variable data types
  • vector / Variable data types
  • matrix / Variable data types
  • list / Variable data types
  • factors / Variable data types
  • dataframe / Variable data types
• data visualization
  • dataset, using / Dataset
  • plotting, googleVis package used / Plotting using the googleVis package
  • interactive dashboard, creating with Shiny / Creating an interactive dashboard using Shiny
• DBI driver
  • about / Reading data from a database
• descriptive statistics
  • about / Descriptive statistics
  • box plot / Box plot

E

• ensemble models
  • building / Ensemble models
  • NA values, replacing with mean or median / Replacing NA with mean or median
  • highly correlated values, removing / Removing the highly correlated values
  • outliers, removing / Removing outliers

F

• factors
  • about / Variable data types
• forecasting
  • datasets, using / Datasets
  • extracting patterns / Extracting patterns
  • autoregressive integrated moving average (ARIMA), using / Forecasting using ARIMA
  • Holt-Winters, using / Forecasting using Holt-Winters
  • accuracy, improving / Methods to improve accuracy
• for loop
  • about / Control structures – for

G

• googleVis package
  • used, for plotting data visualization / Plotting using the googleVis package
  • reference link / Plotting using the googleVis package
• graphical analysis
  • about / Graphical analysis

H

• Hadoop
  • about / Reading data from a database
• Holt-Winters
  • used, for forecasting / Forecasting using Holt-Winters
  • URL / Forecasting using Holt-Winters

I

• if and else control structure
  • about / Control structures – if and else
• in-built dataset
  • using / Using the built-in dataset
• inferential statistics
  • about / Inferential statistics
• interactive dashboard
  • creating, Shiny used / Creating an interactive dashboard using Shiny
• item-based CF method
  • used, for implementing recommendation system / Recommendations using item-based CF

J

• JDBC driver
  • URL / Reading data from a database

K

• K-means algorithm
  • using / Centroid-based clustering and an ideal number of clusters
  • used, for cluster implementation / Implementation using K-means

L

• linear regression
  • about / Linear regression
  • evaluating / Evaluating linear regression
• list
  • about / Variable data types
• logistic regression
  • about / Logistic regression
  • evaluating / Evaluating logistic regression

M

• matrix
  • about / Variable data types
• MongoDB
  • about / Reading data from a database
• multivariate analysis
  • about / Multivariate analysis
  • cross tabulation analysis / Cross-tabulation analysis
  • graphical analysis / Graphical analysis

N

• next control structure
  • about / Control structures – next and return

O

• Oracle
  • about / Reading data from a database

P

• PostgreSQL
  • about / Reading data from a database
• public dataset
  • references / Exercise

R

• Random Forest
  • about / Ensemble models
• recommendation system
  • dataset, using / Dataset and transformation
  • implementing, user-based CF method used / Recommendations using user-based CF
  • implementing, item-based CF method used / Recommendations using item-based CF
  • challenges / Challenges and enhancements
  • enhancements / Challenges and enhancements
• regression models
  • datasets, using / Datasets
  • dataset, sampling / Sampling the dataset
  • logistic regression / Logistic regression
  • linear regression / Linear regression
  • accuracy, improving / Methods to improve the accuracy
  • ensemble models, building / Ensemble models
  • Support Vector Machine (SVM) / Ensemble models
  • Random Forest / Ensemble models
• repeat control structure
  • about / Control structures – repeat and break
• return control structure
  • about / Control structures – next and return
• rules
  • filtering / Generating filtering rules
  • plotting / Rules
  • results, checking / Understanding the results
  • references / Reference

S

• SAS
  • about / Reading data from a database
• Seasonal Decomposition of Time series
  • about / Extracting patterns
• sensitivity and specificity
  • reference link / Evaluating logistic regression
• sequential dataset
  • about / Sequential dataset
• Shiny
  • about / Creating an interactive dashboard using Shiny
  • used, for creating interactive dashboard / Creating an interactive dashboard using Shiny
  • reference link / Creating an interactive dashboard using Shiny
• SPSS
  • about / Reading data from a database
• SQL Server
  • about / Reading data from a database
• Stata
  • about / Reading data from a database
• stl function
  • about / Extracting patterns
  • reference link / Extracting patterns
• string operations
  • about / String operations on the data
• Support Vector Machine (SVM)
  • about / Ensemble models
• Systat
  • about / Reading data from a database

T

• Titanic dataset
  • using / The Titanic dataset
  • URL / The Titanic dataset
  • variables / The Titanic dataset
• transactional datasets
  • about / Transactional datasets
  • in-built dataset, using / Using the built-in dataset
  • building / Building the dataset

U

• univariate analysis
  • about / Univariate analysis
• user-based CF method
  • used, for implementing recommendation system / Recommendations using user-based CF

V

• variable data types
  • about / Variable data types
• vector
  • about / Variable data types

W

• while loop
  • about / Control structures – while