欢迎加入 TidyFriday !

首年 345，续费享 8 折! 详情可添加我的微信咨询！

This is my notes for learning Mapping Quandl Macroeconomic Data. In this article, we are going to be working with a macroeconomic data source from the World Bank called World Development Indicators (WDI). The Quandl code for WDI is `WWDI`

, and thus we’ll prepend `WWDI/`

to each data set call. For more details, you can refer to: https://docs.quandl.com/docs/r-time-series and http://datatopics.worldbank.org/world-development-indicators/

This is my notes for learning Rsampling Fama French. This article introduced how to conduct `k-fold cross validation`

in R using `rsample`

and `yardstick`

packages. For more details, you can read the original article.

This is my note for learning Momentum Investing with R.

In practice, momentum entails a look back into the past to determine whether an asset has exceed some benchmark, and if it has, buy and hold that asset for some benchmark, and if it has, buy and hold that asset for some time into the future. That’s completely flying in the face of the efficient market hypothesis because it’s positing that the past is somehow giving us information that has not been reflected in the current price of the asset.

This is my note for learning Introduction to Fama French.

Today, we will be workding with our usual portfolio consisting of:

- SPY (S&P500 fund) weighted 25%
- EFA (a small-cap value fund) weighted 25%
- IJS (a small-cap value fund) weighted 20%
- EEM (a emerging-mkts fund) weighted 20%
- AGG (a bond fund) weighted 10%

This is my note for learning A quick tour of GA.

Genetic algorithms(GAs) are stochastic search algorithms inspired by the basic principles of biological evolution and natural selection. GAs simulate the evolution of living organisms, where the fittest individuals dominate over the weaker ones, by mimicking the biological mechanisms of evolution, such as selection, crossover and mutation.

This is my note for learning Themes for base plotting system in R.

`basetheme`

package is a magic package, which let you love R’s base plotting system again!

This is my note for learning Visualizing Natural Disaster Cost.

If you cannot download `data-2.tsv`

from the provided URL, you can download it from data-2.tsv.

This is my note for learning {ggrapid}: Create neat & complete ggplot visualizations with as little code as possible. `ggrapid`

offers a couple wrappers around the most commonly used ggplot functions in the course of doing an EDA or building a report:

- plot_density
- plot_boxplot
- plot_deciles (with calculate_decile_table)
- plot_correlation
- plot_bars
- plot_line

This is my learning note for Using gghalves, ‘gghalves’ is a R package which provides some geoms that are half of ggplot2’s geoms.

XKCD is a popular figure web comic with themes in mathematics, science, language, and romance created by Randall Munroe. The xkcd package provides a simple method to plot xkcd graphs. The tweet is my learning notes for xkcd: Plotting XKCD graphs.

This is my learning notes for *Spelunking macOS ‘ScreenTime’ App Usage with R | rud.is* and *Visualizing macOS App Usage with a Little Help from osqueryr & mactheknife | rud.is*. These two tweets introduced some methods about how to spelunk macOS screentime app usage and visualize macOS app usage with R. Following the author’s guide, I reproduced the results of my own macOS.

sweep 包是帮助预测的 tidy 工具包。本文是学习：Introduction to sweep、Forecasting Time Series Groups in the tidyverse 和 Forecasting Using Multiple Models 三篇小品文的笔记。

drake 是一个 R 数据分析工作流程的工具包。旨在提高数据分析的效率和用于高性能计算。本文是其 README 的学习笔记，是个使用 drake 进行数据分析的小例子。关于这个包，未来计划学习：The drake R Package User Manual。

Update your browser to view this website correctly. Update my browser now