Dplyr in r | part 3 [ Group by, mutate, distinct , if else ] скачать в хорошем качестве

Dplyr in r | part 3 [ Group by, mutate, distinct , if else ]

Dplyr in r is part of Tidyverse package from in r programming for data analysis and data manipulation ,exploratory data analysis. Exploratory data wrangling is made very easy with dplyr in r. Data wrangling is often the most time-consuming part of data science and applied statistics. Tabular data is data regardless of where it lives, so you should use the same functions to work with it. With dplyr, anything you can do to a local data frame you can also do to a remote database table. PostgreSQL, MySQL, SQLite and Google bigquery support is built-in; adding a new backend is a matter of implementing a handful of S3 methods. and so it makes dplyr an extremely fast and powerful tool for data analysis , data mining and data exploration.