We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How the New York Times uses R for Data Visualization
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > How the New York Times uses R for Data Visualization
Best PracticesR Programming Language

How the New York Times uses R for Data Visualization

DavidMSmith
DavidMSmith
2 Min Read
How the New York Times uses R for Data Visualization
Illustrative image generated with OpenAI gpt-image-1.
SHARE

The New York Times introduced R to the world with a feature article in 2009, and has been using R for many years to support its pioneering presentation data analysis and visualization, under the direction of graphics editor Amanda Cox.

Last week, the New York R User Group‘s featured speaker was Amanda Cox, where she presented

… how R is used in the news cycle at the The New York Times to crunch data and prepare graphics before they go to print or online. She will also discuss some of the problems facing the New York Times ongoing basis, including how to represent uncertainty in an accessible way, and how to move beyond “Here is some data:” toward something closer to inference.”

Video from Amanda’s talk on R at the New York Times is now available, which you can see at Drew Conway’s blog — it’s great to hear how R is put to practical use to such great ends.

More Read

Big Data Analytics Doesn't Have to Be the Wild West
Big Data Analytics Doesn’t Have to Be the Wild West
Parallel Processing in R for Windows
Outsourcing, Off-shoring and Near-shoring – what works or doesn’t for BI & DWH
A Comprehensive Guide to Time Series Plotting in R
Report Governance is Key to Consistent Business Information

By the way, if you haven’t seen it yet, the Times has a incredible (in the literal sense) and sobering visualization of before-and-after effects of the Japan tsunami disaster.

Zero Intelligence Agents: Amanda Cox on How The New York Times Graphics Department Uses R

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the hypervisor as the abstraction layer that makes hybrid cloud p
7 Best Virtualization Platforms for Hybrid Cloud Environments
Big Data
Flat editorial illustration: The article's core relationship is between aggregated workplace data (occupancy, environmental, feed
How Businesses Can Use Workplace Data to Create Better Office Environments
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Data Scientists Should Be the New Factory Workers
Best PracticesData MiningModelingPredictive Analytics

Data Scientists Should Be the New Factory Workers

5 Min Read
Why We Need to Deal with Big Data in R
AnalyticsR Programming Language

Why We Need to Deal with Big Data in R

3 Min Read
How SEO is Like Customer Service
Best PracticesCRM

How SEO is Like Customer Service

11 Min Read
Harnessing Collective Intelligence in Decision Making through Big Data Analytics
AnalyticsBest PracticesData MiningPolicy and Governance

Harnessing Collective Intelligence in Decision Making through Big Data Analytics

27 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?