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Название: Mastering Social Media Mining with R (+code)
Автор: Sharan Kumar Ravindran, Vikram Garg
Издательство: Packt Publishing
Год: 2015
Формат: PDF
Размер: 15 Мб
Язык: английский / English
With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data.
Автор: Sharan Kumar Ravindran, Vikram Garg
Издательство: Packt Publishing
Год: 2015
Формат: PDF
Размер: 15 Мб
Язык: английский / English
With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data.