The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about.
Этот курс входит в специализацию ''Специализация Mastering Software Development in R'
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Специализация Mastering Software Development in RУниверситет Джонса ХопкинсаОб этом курсе
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаПриобретаемые навыки
- Mapping
- Ggplot2
- Data Visualization (DataViz)
- R Programming
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнеса
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Программа курса: что вы изучите
Welcome to Building Data Visualization Tools
Plotting with ggplot2
Mapping and interactive plots
The grid Package
Building New Graphical Elements
Рецензии
- 5 stars42,85 %
- 4 stars27,92 %
- 3 stars16,88 %
- 2 stars5,84 %
- 1 star6,49 %
Лучшие отзывы о курсе BUILDING DATA VISUALIZATION TOOLS
It is a very good course, but feels a bit more hands-off than the other 3 preceding courses in the Mastering Software Development in R certificate.
Great course - learned a lot. Excellent instruction
One downside.. Peer review can be a blocking issue to moving forward. If no one is around to peer review, you wait, and pay while you wait.
Great course! You'll learn a lot about the graphic capabilities of R. However, I think there are some things that need to be explained before one goes on to complete the final project.
very useful, especially the final practical exam.
not 5 score because I think more time should have been spent in more modern interactive charts
Специализация Mastering Software Development in R: общие сведения
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