課程介紹

Course Objectives

This course is designed to develop the skill of efficient graphic language, where efficiency is defined as the data information delivery that is self-contained, concise, and non-distorting. The programming language is mainly based on R, with a little bit of Javascript toward the end. Though there is no computer programming knowledge required, basic R knowledge will help (the ebook, R for Data Science, would be a good start). By the end of the course, students who learn well should be able to design professional dashboards like the Big-Mac index from 《the Economist》 Magazine . (The course will be taught in mixed language–Chinese and English, but mainly in English, since English is an important skill for being a good programmer.)

Before you start

Before your start, please do the following:

Register a Gmail.
Install Google Chrome.
Install R, then RStudio.
Register a GitHub account, then install Github Desktop.

完成以上步驟請填寫以下google表單：學生資訊帳號單

課程聊天室設定(gitter.im)

電子書筆記工具(hypothes.is)

以下為使用Hypothes.is線上註記工具步驟：

Sign up a Hypothes.is account.
Join course Hypothes.is group (click to join).
Install Hypothes.is Chrome extension

環境設定

In-class repo

課堂範習repo使用

（只做一次）Fork 老師的in-class repo
會複製一個in-class repo到你的github帳號成為「你的in-class repo」。
（只做一次）Github desktop downloads the repo.
將你的in-class repo下載到你的電腦
以後上課請依下列步驟在「你的in-class repo」練習：
1. 點你電腦的course-108-1-inclass-datavisualization.Rproj檔，開啟RStudio。
2. 在RStudio點開「課堂練習.Rmd」再另存新檔成「課堂練習yyyymmdd.Rmd」其中yyyymmdd為今天日期。
3. 開啟你的Github desktop，選你的in-class repo。
  課程中你可以隨時點commit, 再點push，於雲端githut備份你的課堂練習。

下載

請於Google classroom下載cwTeXQYuan-Medium.ttf字體及相關R套件cheat sheets PDF檔。

Starting chunk

library(dplyr); library(stringr); library(ggplot2); library(plotly); library(lubridate); library(readr); library(tidyr); library(showtext)

font_add("QYuan","cwTeXQYuan-Medium.ttf") # 新增字體
showtext_auto(enable=TRUE) #啟用字體
theme_set(theme_classic())
knitr::opts_chunk$set(out.width='80%', fig.asp=.75, fig.align='center', fig.showtext=T)

經濟資料視覺化處理