Oreilly – Expert Data Wrangling with R (2015) [22 video FLV files]
English | Size: 2.94 GB (3,155,601,232 bytes )
Category: CBTs
Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work. This video tutorial shows you how to streamline your code-and your thinking-by introducing a set of principles and R packages that make this work much faster and easier.
Expert Data Wrangling with R
Streamline Your Work with tidyr, dplyr, and ggvis
By Garrett Grolemund
Publisher: O’Reilly Media
Final Release Date: February 2015
Run time: 3 hours 50 minutes
Garrett Grolemund, Data Scientist and Master Instructor at RStudio, demonstrates how R and its packages help you tackle three main issues:
– Data Manipulation. Data sets contain more information than they display. By transforming your data, you can reveal a wealth of descriptive statistics, group level observations, and hidden variables. R’s dplyr package provides optimized functions to help you transform data, as well as a pipe syntax that makes R code more concise and intuitive.
– Data Tidying. Data sets come in many formats, but R prefers just one. R runs quickly and intuitively when your data is stored in the tidy format, a layout that allows vectorized programming. R’s tidyr package reshapes the layout of your data sets, making them tidy while preserving the relationships they contain.
– Data Visualization. The structure of data visualizations parallels the structure of data sets. Once your data is tidy, visualizations become straightforward: each observation in your dataset becomes a mark on a graph, each variable becomes a visual property of the marks.
The result is a grammar of graphics that lets you create thousands of graphs. R’s ggvis package implements the grammar, providing a system of data visualization for R.
Garrett Grolemund is a Data Scientist and Master Instructor at RStudio. Garrett maintains the lubridate R package and is the author of Hands-On Programming with R and the upcoming Data Science with R (both O’Reilly books).
More info: shop.oreilly.com/product/0636920035992.do
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