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Introduction to R for Business Intelligence

You're reading from   Introduction to R for Business Intelligence Profit optimization using data mining, data analysis, and Business Intelligence

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Product type Paperback
Published in Aug 2016
Publisher Packt
ISBN-13 9781785280252
Length 228 pages
Edition 1st Edition
Languages
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Author (1):
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Jay Gendron Jay Gendron
Author Profile Icon Jay Gendron
Jay Gendron
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Table of Contents (13) Chapters Close

Preface 1. Extract, Transform, and Load FREE CHAPTER 2. Data Cleaning 3. Exploratory Data Analysis 4. Linear Regression for Business 5. Data Mining with Cluster Analysis 6. Time Series Analysis 7. Visualizing the Datas Story 8. Web Dashboards with Shiny A. References
B. Other Helpful R Functions C. R Packages Used in the Book
D. R Code for Supporting Market Segment Business Case Calculations

Geo-mapping using Leaflet


Geo-mapping is the process of placing markers representing data in a geographic context, typically using latitude and longitude. Leaflet is an open source JavaScript library for building interactive geo-maps with ease. Why are we talking about a JavaScript mapping library in an R book? The R package leaflet is a wrapper around this JavaScript library that translates most of its functionality into a set of R functions. It allows analysts to visualize geospatial data easily. With this package, you can generate maps from within RStudio or embed them in R Markdown documents or Shiny web applications.

Note

Use case: Geo-mapping Bike Stations

Remember when you supported management by creating a business case for the location of customer service kiosks? You had data on each of the 244 Bike Sharing stations throughout the city. Go ahead and pull this same data from the file called Ch7_bike_station_locations.csv, located on the book's website at http://jgendron.github.io...

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