R Data Analysis Solution - Analyzing Time-Series and Social Media Data, and More [Video]

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R Data Analysis Solution - Analyzing Time-Series and Social Media Data, and More [Video]

Shanthi Viswanathan, Viswa Viswanathan

Master this practical approach to performing analytical operations

Quick links: > What will you learn?> Table of content

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Video Details

ISBN 139781788392532
Course Length2 hours and 33 minutes

Video Description

Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, by making advanced data exploration and insight accessible to anyone interested in learning it. This course's hands-on approach will help you perform data analysis. You will learn to perform social network analysis, to uncover hidden insights and trends from data. Later you will perform geospatial analysis to bring data into action with the easy-to-follow examples featured in the video course. By the end of this course, you will mastered quickly adapting the example code for your own needs, thus saving yourself the time-consuming task of constructing code from scratch.

Style and Approach

This course follows a video-based approach, where each recipe presents unique functions for time series analysis, Social Network Analysis, and Geospatial Analysis in a step-by-step manner. With practical hands-on guidance in each and every recipe, you'll quickly master the underlying concepts.

Table of Contents

Lessons from History - Time Series Analysis
The Course Overview
Creating and Examining Date Objects
Operating On Date Objects
Performing Preliminary Analyses on Time Series Data
Using Time Series Objects
Decomposing Time Series
Filtering the Time Series Data
Smoothing and Forecasting Using the Holt-Winters Method
Building an Automated ARIMA Model
It's All About Your Connections – Social Network Analysis
Downloading Social Network Data Using Public APIs
Creating Adjacency Matrices and Edge Lists
Plotting Social Network Data
Computing Important Network Metrics
Put Your Best Foot Forward – Document and Present Your Analysis
Generating Reports of Your Data Analysis with R Markdown and knitR
Creating Interactive Web Applications with Shiny
Creating PDF Presentations of Your Analysis with R Presentation
Work Smarter, Not Harder – Efficient and Elegant R Code
Exploiting Vectorized Operations
Processing Entire Rows or Columns Using the Apply Function
Applying a Function to All the Elements of a Collection with lapply and sapply
Applying Functions to the Subsets of a Vector
Using the split-apply-combine Strategy with plyr
Slicing, Dicing, and Combining Data with Data Tables
Where in the World? – Geospatial Analysis
Downloading and Plotting a Google Map of an Area
Overlaying Data on the Downloaded Google Map
Importing ESRI Shape Files into R
Using the sp Package to Plot Geographic Data
Getting Maps from the Maps Package
Creating Spatial Data Frames from Regular Data Frames Containing Spatial and Other Data
Creating Spatial Data Frames by Combining Regular Data Frames with Spatial Objects
Adding Variables to an Existing Spatial Data Frame
Playing Nice – Connecting to Other Systems
Using Java Objects in R
Using JRI to Call R Functions from Java
Executing R Scripts from Java
Using the XLSX Package to Connect to Excel
Reading Data From NoSQL Databases – MongoDB

What You Will Learn

  • Extract patterns from time-series data and use them to produce forecasts based on them
  • Learn how to extract actionable information from social network data
  • Implement geospatial analysis
  • Present your analysis convincingly through reports and build an infrastructure to enable others to play with your data

Authors

Table of Contents

Lessons from History - Time Series Analysis
The Course Overview
Creating and Examining Date Objects
Operating On Date Objects
Performing Preliminary Analyses on Time Series Data
Using Time Series Objects
Decomposing Time Series
Filtering the Time Series Data
Smoothing and Forecasting Using the Holt-Winters Method
Building an Automated ARIMA Model
It's All About Your Connections – Social Network Analysis
Downloading Social Network Data Using Public APIs
Creating Adjacency Matrices and Edge Lists
Plotting Social Network Data
Computing Important Network Metrics
Put Your Best Foot Forward – Document and Present Your Analysis
Generating Reports of Your Data Analysis with R Markdown and knitR
Creating Interactive Web Applications with Shiny
Creating PDF Presentations of Your Analysis with R Presentation
Work Smarter, Not Harder – Efficient and Elegant R Code
Exploiting Vectorized Operations
Processing Entire Rows or Columns Using the Apply Function
Applying a Function to All the Elements of a Collection with lapply and sapply
Applying Functions to the Subsets of a Vector
Using the split-apply-combine Strategy with plyr
Slicing, Dicing, and Combining Data with Data Tables
Where in the World? – Geospatial Analysis
Downloading and Plotting a Google Map of an Area
Overlaying Data on the Downloaded Google Map
Importing ESRI Shape Files into R
Using the sp Package to Plot Geographic Data
Getting Maps from the Maps Package
Creating Spatial Data Frames from Regular Data Frames Containing Spatial and Other Data
Creating Spatial Data Frames by Combining Regular Data Frames with Spatial Objects
Adding Variables to an Existing Spatial Data Frame
Playing Nice – Connecting to Other Systems
Using Java Objects in R
Using JRI to Call R Functions from Java
Executing R Scripts from Java
Using the XLSX Package to Connect to Excel
Reading Data From NoSQL Databases – MongoDB

Video Details

ISBN 139781788392532
Course Length2 hours and 33 minutes
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