MIT 15.071 The Analytics Edge, Spring 2017 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization
7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Examples of good and bad visualizations, and how to created better visualizations in R. License:
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Examples of good and bad visualizations, and how to created better visualizations in R. License:
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Examples of good and bad visualizations, and how to created better visualizations in R. License:
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization.
- Understand how statistical software fits into 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization.
- Understand how subjective fits into 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization.
- Understand how visualization software fits into 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Examples of good and bad visualizations, and how to created better visualizations in R. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Examples of good and bad visualizations, and how to created better visualizations in R. License:
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, statistical software, subjective, visualization software.
What should I learn before 7.4.1 Welcome to Recitation 7 - The Good, the Bad, and the Ugly in Visualization?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, statistical software, subjective, visualization software.
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Yes. The full transcript is visible on this page in indexable HTML sections.
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