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7.4.2 R7. Visualization - Video 1: Introduction
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MIT 15.071 The Analytics Edge, Spring 2017 - 7.4.2 R7. Visualization - Video 1: Introduction

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MIT 15.071 The Analytics Edge, Spring 2017 7.4.2 R7. Visualization - Video 1: Introduction

7.4.2 R7. Visualization - Video 1: Introduction 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 Choosing how to present data in a visual format that accurately conveys the key messages and is

Quick Summary

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Choosing how to present data in a visual format that accurately conveys the key messages and is

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 Choosing how to present data in a visual format that accurately conveys the key messages and is
  • Understand how ggplot fits into 7.4.2 R7. Visualization - Video 1: Introduction.
  • Understand how ggplot2 fits into 7.4.2 R7. Visualization - Video 1: Introduction.
  • Understand how subjective judgement fits into 7.4.2 R7. Visualization - Video 1: Introduction.
  • Understand how misleading visualizations fits into 7.4.2 R7. Visualization - Video 1: Introduction.

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 Choosing how to present data in a visual format that accurately conveys the key messages and is also attractive. 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 7.4.2 R7. Visualization - Video 1: Introduction about?

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Choosing how to present data in a visual format that accurately conveys the key messages and is

What key concepts are covered in this lesson?

The lesson covers ggplot, ggplot2, subjective judgement, misleading visualizations.

What should I learn before 7.4.2 R7. Visualization - Video 1: Introduction?

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: ggplot, ggplot2, subjective judgement, misleading visualizations.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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