我的收藏夹：第十五期

网址收藏夹又快挤爆了，赶紧把它们整理整理，于是就有 每周分享第 15 期 了！

Python 语言

• 这些方法解决了数据清洗 80%的工作量

这篇文章介绍了一些使用 Python 清理数据的流程和方法。

R 语言

• texPreview: Preview and save images of rendered snippets of LaTeX in RStudio viewer, rmarkdown and shiny

使用 RStudio 的 Viewer 展示 tex 片段的预览。

• klippy: Copy to Clipboard Buttons for RMarkdown HTML Documents

该包的功能是为 RMarkdown 生成的 HTML 文档中的代码框添加一键复制粘贴功能。

• githubdashboard: #rstats github flexdashboard

使用 RMarkdown 生成自己的 Github 展板。

• pagedown-cv: A recreation of my CV (which was originally designed in Microsoft Word) in HTML using pagedown for R Markdown

使用 pagedown 制作基于 HTML 的简历：

• d3rain: An htmlwidget bringing D3 drip to R

• R Markdown Gallery: 很多 RMarkdown 的资源

• RStudio 开发的 R 包都值得学习学习

• prettydoc: Creating Pretty HTML From R Markdown

• Creating Pretty Documents with the prettydoc Package

• rmdshower: R Markdown Template for the Shower Presentation Engine
• fastmap: Fast map implementation for R

这个很难用人话解释，看一下代码就能理解了：

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library(fastmap)

# Create a map
m <- fastmap()

# Set some key-value pairs
m$set("x", 100)
m$set("letters", c("a", "b", "c"))
m$mset(numbers = c(10, 20, 30), nothing = NULL)

# Get values using keys
m$get("x")
#> [1] 100
m$get("numbers")
#> [1] 10 20 30
m$mget(c("letters", "numbers"))
#> $letters
#> [1] "a" "b" "c"
#>
#> $numbers
#> [1] 10 20 30

• hms: A simple class for storing time-of-day values
• Backtest Trading Strategies like a real Quant
• Run R code online, embedded in your own website

就是这个意思：

• urbnthemes: Urban Institute’s ggplot2 theme and tools. NOTE: this is under active development：ggplot2 主题包。

• redoc: Reversible Reproducible Documents

• countdown ⏲ :: 💭 💬 👩‍💻 :: ⏰：这个非常值得学习一下，可以在 RMarkdown Pre 里显示倒计时。

• Anime Movie Ratings

• Vroom: vroom reads rectangular data, such as comma separated (csv), tab separated (tsv) or fixed width files (fwf) into R. It performs similar roles to functions like readr::read_csv(), data.table::fread() or read.csv(). But for many datasets vroom::vroom() can read them much, much faster (hence the name).
• R Package for internal usage
• lint-md：📚 检查中文 markdown 编写格式规范的命令行工具，基于 AST，方便集成 ci，写博客 / 文档必备。支持 API 调用！

• Rcpp for everyone：开源书

• Statistical Inference via Data Science: A moderndive into R and the tidyverse：开源书

• tvthemes: ggplot2 themes and palettes based on your favorite TV shows：蛮有意思的 ggplot2 主题。

• Iteration in R
• HighFreq: R package for high frequency time series data management
• rutils: Utility functions for simplifying financial data management and modeling
• long-short-macro-global-strategy: Build long/short macro strategy by using 13 ETFs with different models
• rosr: Create academic R markdown projects for open science and reproducible research
• The Tidynomicon：A Brief Introduction to R for Python Programmers：开源书

• A new package for panel data analysis in R

• Putting the into Reproducible Research

• rrtools: Adapting R package development tools for Reproducible Research
• drakeplanner: A web app to create new drake projects
• tsbox: tsbox: Class-Agnostic Time Series in R
• The small multiples plot: how to combine ggplot2 plots with one shared axis
• Interactive web-based data visualization with R, plotly, and shiny
• do_if
• FOUR WAYS TO REVERSE A STRING IN R
• The Evolution of a ggplot

• Mapping Tornado Alley with R
• Popular Letters in Baby Names, Animated

• ggthreed: 3d geoms and stats for ggplot

• Create a CLI for R with npm
• littler: A scripting and command-line front-end for GNU R
• clickme: An R package to create interactive plots
• sortableR: R htmlwidget for Sortable.js：可以拖动 shiny 页面上的小控件。

• panelr: Regression models and utilities for repeated measures and panel data
• Can I do that? Inspiration from a Pudding data visualization.

好玩的东西

• 2018 全球情绪报告显示，我们在一个更愤怒更悲伤的世界

• 世界各国国旗的矢量图下载

• ✍️Fusuma makes slides with Markdown easily.：使用 Markdown 制作 HTML Pre 的工具。

• Beamer 模板

• An introduction to typesetting with LATEX

• 1 million+ Stunning Free Images to Use Anywhere - Pixabay

• best-resume-ever: Build fast and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

• The world population is changing: For the first time there are more people over 64 than children younger than 5

实际上中国，作为一个老龄化国家，在 1999 年就出现了这个交叉点。