R live class | Data Visualization and Dashboard with R | Nov
栏目分类：资料 发布日期：2017-10-31 浏览次数：次
本文为去找网小编(www.7zhao.net)为您推荐的R live class | Data Visualization and Dashboard with R | Nov 7-8 Milan，希望对您有所帮助，谢谢！
This course will teach you how to build beautiful, effective and flexible plots using the most modern R tools for data visualization. Then you will discover how to embed visualizations and tables in a powerful Shinyapp, to make your data easily navigable and let their insights emerge. You should take this course if you have some knowledge of R and would like to deepen your knowledge in data visualization with R, both static data visualization and dashboards.
Data Visualization and Dashboard with R: Outlines
– ggplot2 grammar – Creating plots with ggplot (Scatter Plot, Line Plot, Bar Plot, Histogram, Box Plot, Surface Plot) – Customizing Plots (aesthetics, legend, axes, faceting and themes) – Specialised visualisation tools: ggmap and ggally – Basic shiny concepts – The structure of a shiny app – Shiny: the server side and the user side – Understanding reactivity in shiny – An overview of html widgets 本文来自去找www.7zhao.net
Data Visualization and Dashboard with R is organized by the R training and consulting company Quantide and is taught in Italian , while all the course materials are in English .
This course is for max 6 attendees. copyright www.7zhao.net
The course location is 550 mt. (7 minutes on walk) from Milano central station and just 77 mt. (1 minute on walk) from Lima subway station.
If you want to reserve a seat go to:
Other R courses | Autumn term
You can find . Next dates will be:
- November 21-22 : R with Database and Big Data . From databases to distributed infrastructure, master the R techniques to handle and query Big Data.
- November 29-30 : Professional R Programming . Organise, document and test your code: write efficient functions, improve the code reproducibility and build R packages.
In case you are a group of people interested in more than one class, write us at ! We can arrange together a tailor-made course, picking all the topics that are interesting for your organization and dropping the rest.
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