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../../_extensions
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---
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title: "代码编写规则"
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subtitle: 《区域水环境污染数据分析实践》<br>Data analysis practice of regional water environment pollution
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author: 苏命、王为东<br>中国科学院大学资源与环境学院<br>中国科学院生态环境研究中心
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date: today
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lang: zh
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format:
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revealjs:
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theme: dark
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slide-number: true
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chalkboard:
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buttons: true
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preview-links: auto
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lang: zh
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toc: true
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toc-depth: 1
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toc-title: 大纲
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logo: ./_extensions/inst/img/ucaslogo.png
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css: ./_extensions/inst/css/revealjs.css
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pointer:
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key: "p"
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color: "#32cd32"
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pointerSize: 18
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revealjs-plugins:
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- pointer
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filters:
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- d2
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---
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```{r}
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#| echo: false
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knitr::opts_chunk$set(echo = TRUE)
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# source("../../coding/_common.R")
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library(tidyverse)
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library(nycflights13)
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```
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## tidy data
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```{r}
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knitr::include_graphics("../../image/tidy-1.png", dpi = 270)
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```
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## pipe(管道) |>
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```{r}
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#| eval: false
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require(patchwork)
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plot(1:10)
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1:10 |> plot()
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plot(x = 1:10, y = sin(1:10))
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1:10 |> plot(y = sin(1:10))
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```
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```{r}
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#| echo: false
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#| layout-nrow: 1
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#| fig-width: 4
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#| fig-height: 3
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#| out-height: 90%
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require(patchwork)
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plot(1:10)
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1:10 |> plot()
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plot(x = 1:10, y = sin(1:10))
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1:10 |> plot(y = sin(1:10))
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```
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## pipe(管道):%>%
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```{r}
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#| eval: false
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#| layout-nrow: 1
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#| fig-width: 3
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#| fig-height: 4
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#| out-height: 125%
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require(magrittr)
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1:10 %>% plot()
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1:10 %>% plot(y = sin(1:10))
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sin(1:10) %>% plot(1:10, .)
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sin(1:10) |> plot(x = 1:10, y = _)
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```
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```{r}
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#| echo: false
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#| layout-nrow: 1
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#| fig-width: 3
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#| fig-height: 4
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#| out-height: 125%
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require(magrittr)
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1:10 %>% plot()
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1:10 %>% plot(y = sin(1:10))
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sin(1:10) %>% plot(1:10, .)
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sin(1:10) |> plot(x = 1:10, y = _)
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```
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## 代码编写规则
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```{r}
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#| eval: false
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# Strive for:
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short_flights <- flights |> filter(air_time < 60)
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# Avoid:
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SHORTFLIGHTS <- flights |> filter(air_time < 60)
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# Strive for
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z <- (a + b)^2 / d
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# Avoid
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z<-( a + b ) ^ 2/d
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# Strive for
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mean(x, na.rm = TRUE)
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# Avoid
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mean (x ,na.rm=TRUE)
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```
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## 练习
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```{r}
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#| eval: false
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flights|>filter(dest=="IAH")|>
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group_by(year,month,day)|>summarize(n=n(),
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delay=mean(arr_delay,na.rm=TRUE))|>filter(n>10)
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```
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## 练习
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```{r}
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#| eval: false
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flights |>
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filter(dest == "IAH") |>
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group_by(year, month, day) |>
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summarize(n = n(),
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delay = mean(arr_delay, na.rm = TRUE)) |>
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filter(n > 10)
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```
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## quarto
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## 欢迎讨论!{.center}
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`r rmdify::slideend(wechat = FALSE, type = "public", tel = FALSE, thislink = "../")`
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