Tidyverse

layout: post
title: tidyverse
author: CY
tags: [R]
categories: [R]
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  background: triangular.png 

tidyverse introduction

The tidyverse is an opinionated collection of R packagesdesigned for data science. All packages share an underlying philosophy and common APIs.

大部分数据分析任务，通常有一些固定的操作，操作对应的命令和library也是相对固定的：

首先，导入数据→整理数据，然后进入：转换数据→数据图像化→建立模型这三者的循环中，同时需要一些操作让我们的代码更简洁。在这个过程中，我们经常会用到相应的很多library，悲剧的是我们经常会因为忘记载入相应的包而出现一系列的报错。是时候拿出大杀器tidyverse了。

tidyverse包一言以蔽之就是：Tidyverse是一个集成的系统包，里面包含了众多用作数据处理分析的library，并且持续更新中。载入这个包，你就可以高枕无忧了，以上所有命令随意用。哈哈哈哈

tidyverse usage

install.packages("tidyverse")
library(tidyverse)

tidyverse including packages:

• Load the core tidyverse packages:
  • ggplot2, for data visualisation.
  • dplyr, for data manipulation.
  • tidyr, for data tidying.
  • readr, for data import.
  • purrr, for functional programming.
  • tibble, for tibbles, a modern re-imagining of data frames.
• Working with specific types of vectors:
  • hms, for times.
  • stringr, for strings.
  • lubridate, for date/times.
  • forcats, for factors.
• Importing other types of data:
  • feather, for sharing with Python and other languages.
  • haven, for SPSS, SAS and Stata files.
  • httr, for web apis.
  • jsonlite for JSON.
  • readxl, for .xls and .xlsx files.
  • rvest, for web scraping.
  • xml2, for XML.
• Modelling
  • modelr, for modelling within a pipeline
  • broom, for turning models into tidy data

References

tidyverse website

[为”Tidyverse” 疯狂打call!]