Titlebook: Beginning Data Science with R; Manas A. Pathak Book 2014 Springer International Publishing Switzerland 2014 Creating Tag Clouds.R Code.R I

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书目名称Beginning Data Science with R影响因子(影响力)学科排名




书目名称Beginning Data Science with R网络公开度




书目名称Beginning Data Science with R网络公开度学科排名




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书目名称Beginning Data Science with R被引频次学科排名




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书目名称Beginning Data Science with R读者反馈学科排名

nutrients

Data Visualization,at extracting information from visual cues, so a visual representation is usually more intuitive than a textual representation. Second, data visualization, for the most part, also involves a data summarization step; a visualization provides a concise snapshot of the data.

LIMIT

Exploratory Data Analysis,he layout of the data first. Exploratory data analysis (EDA) is a collection of analysis techniques that we can apply to the data for this purpose. Most of these techniques are often simple to implement as well as computationally inexpensive, which allow us to obtain the exploratory results quickly.

obligation

CLEAR

Book 2014and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

小臼

ies.Examines cutting edge topics in both research and commer“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of da

Transfusion

Data Visualization,at extracting information from visual cues, so a visual representation is usually more intuitive than a textual representation. Second, data visualization, for the most part, also involves a data summarization step; a visualization provides a concise snapshot of the data.

Corporeal

Exploratory Data Analysis,he layout of the data first. Exploratory data analysis (EDA) is a collection of analysis techniques that we can apply to the data for this purpose. Most of these techniques are often simple to implement as well as computationally inexpensive, which allow us to obtain the exploratory results quickly.

VEN

https://doi.org/10.1007/978-3-319-12066-9Creating Tag Clouds; R Code; R Interfacing; R Programming; Social Network Data Analysis; Statistical Mode

ALLAY

978-3-319-37473-4Springer International Publishing Switzerland 2014