To facilitate complex data transformation, exploration and computing tasks in R. To help make R code fast, flexible, parsimonious and programmer friendly.It further implements a class-agnostic approach to R programming, supporting base R, tibble, grouped_df (tidyverse), data.table, sf, units, ...
These functions process data faster than Base R functions and are known the best for data exploration and transformation, as well. Following are some of the important functions included in the dplyr package select() :- To select columns (variables) filter() :-To filter (subset) rows. mutate...
In this article, I’ll demonstrate how to apply alog transformationto all columns of a data frameinthe R programming language. Table of contents: You’re here for the answer, so let’s get straight to the example… Example Data As a first step, we have to create some data that we can...
Data transformation: This resource focuses on how to use the filter() function in R, and demonstrates how to combine filter() with ggplot(). This is a useful resource if you are interested in learning more about how filter() can be used before plotting. Visualizing data with ggplot2: Th...
Transformation methods Examples of transforming skewed data Prerequisites Visualization Summary and discussion Related Book Practical Statistics in R II - Comparing Groups: Numerical Variables Non-normal distributions Skewness is a measure of symmetry for a distribution. The value can be positive, negative ...
You will learn how to use R tools to do data visualization, data transformation and exploratory data analysis. “R for Data Science” is available free online athttp://r4ds.had.co.nz/. Some other free online courses and books are listed below: ...
By Gu Xiaozhu, Senior Marketing Manager, Operation Transformation Marketing Dept., Huawei Mining data mountains for gold Operators amass huge amounts of data from huge amounts of customers. Yet they don’t fully exploit this un-mined gold from millions of people. In the telecoms sector, the ...
No immediate need for consideration of the capabilities of computer hardware; no entanglement in the vagaries of specific programming languages. Just algebra, pure and simple. His PhD thesis in the early 1970s was already concerned with program transformation: the rules by which one program is ...
Do you want to know more about the transformation of the summary() function output to a data frame? Then I recommend watching the following video on my YouTube channel. I’m illustrating the R code of this post in the video.In addition, you might have a look at the other articles on...
Data transformation.After cleansing, it's important to model, structure andtransform the datainto a suitable format for analysis. Data accessibility.During this step, searchable indexes of the data sets are created to make them available to users. ...