Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Tips on Accessing Data from Various Sources with R
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > R Programming Language > Tips on Accessing Data from Various Sources with R
R Programming Language

Tips on Accessing Data from Various Sources with R

DavidMSmith
DavidMSmith
1 Min Read
SHARE
Jeffrey Breen (the man behind the Twitter airline sentiment analysis example) recently posted a collection of slides with some great tips for accessing data from R.
Jeffrey Breen (the man behind the Twitter airline sentiment analysis example) recently posted a collection of slides with some great tips for accessing data from R. “Tapping the Data Deluge” includes information on:
  • Using the XLConnect package to read data from Excel spreadsheets
  • Using the foreign package to read SPSS, SAS, Stata and dBase data files
  • Using SQL queries to import data from MySQL with the RMySQL package
  • Accessing unstructured data in Hadoop with rhbase
  • Scraping data from websites via direct URLs and the XML package (to parse HTML tables)
  • Accessing public data sources (economic, financial, social, etc.)

Many thanks to Jeffrey for preparing and sharing this useful information. I’ve embedded the slides below, and you can find more information, including R code implementing the examples, at Jeffrey’s blog linked below.

Jeffrey Breen: Slides from “Tapping the Data Deluge with R” lightning talk
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Data Analytics Is Reshaping Patient Financing Decisions
How Data Analytics Is Reshaping Patient Financing Decisions
Analytics Big Data Exclusive
AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

R User Groups Update

3 Min Read

Using R and Motion Charts to analyze financial data

3 Min Read

Birthday Probabilities: Heat Map vs. R

2 Min Read

The R Ecosystem: a Presentation

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?