Remove status (#1527)

* Remove status

* Remove status, no other changes

* Leave a note about how to use status()

* Remove status + visual editor made some changes

* Remove backticks added by visual editor

* Remove whitespaces

EDA.qmd

@@ -1,10 +1,9 @@
 # Exploratory data analysis {#sec-exploratory-data-analysis}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

_common.R

@@ -25,6 +25,7 @@ options(
 
 ggplot2::theme_set(ggplot2::theme_gray(12))
 
+# use results: "asis" when setting a status for a chapter
 status <- function(type) {
  status <- switch(type,
  polishing = "should be readable but is currently undergoing final polishing",

arrow.qmd

@@ -5,10 +5,9 @@ freeze: true
 # Arrow {#sec-arrow}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

base-R.qmd

@@ -1,11 +1,9 @@
 # A field guide to base R {#sec-base-r}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

communicate.qmd

@@ -1,8 +1,8 @@
 # Communicate {#sec-communicate-intro .unnumbered}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
 ```
 

communication.qmd

@@ -1,10 +1,9 @@
 # Communication {#sec-communication}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

data-import.qmd

@@ -1,11 +1,9 @@
 # Data import {#sec-data-import}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

data-tidy.qmd

@@ -1,11 +1,9 @@
 # Data tidying {#sec-data-tidy}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

data-transform.qmd

@@ -1,11 +1,9 @@
 # Data transformation {#sec-data-transform}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

data-visualize.qmd

@@ -1,11 +1,9 @@
 # Data visualization {#sec-data-visualization}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

databases.qmd

@@ -1,10 +1,9 @@
 # Databases {#sec-import-databases}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction
@@ -29,6 +28,7 @@ DBI is a low-level interface that connects to databases and executes SQL; dbplyr
 ```{r}
 #| label: setup
 #| message: false
+
 library(DBI)
 library(dbplyr)
 library(tidyverse)

datetimes.qmd

@@ -1,10 +1,9 @@
 # Dates and times {#sec-dates-and-times}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 
 # https://github.com/tidyverse/lubridate/issues/1058
 options(warnPartialMatchArgs = FALSE)

factors.qmd

@@ -1,10 +1,9 @@
 # Factors {#sec-factors}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

functions.qmd

@@ -1,10 +1,9 @@
 # Functions {#sec-functions}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

import.qmd

@@ -1,8 +1,8 @@
 # Import {#sec-import .unnumbered}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
 ```
 

intro.qmd

@@ -1,8 +1,8 @@
 # Introduction {#sec-intro}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
 ```
 

iteration.qmd

@@ -1,11 +1,9 @@
 # Iteration {#sec-iteration}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

joins.qmd

@@ -1,10 +1,9 @@
 # Joins {#sec-joins}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

layers.qmd

@@ -1,11 +1,9 @@
 # Layers {#sec-layers}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction
@@ -1005,14 +1003,16 @@ There are two other coordinate systems that are occasionally helpful.
 
 We can expand on the graphing template you learned in @sec-ggplot2-calls by adding position adjustments, stats, coordinate systems, and faceting:
 
- ggplot(data = <DATA>) + 
-  <GEOM_FUNCTION>(
-  mapping = aes(<MAPPINGS>),
-  stat = <STAT>, 
-  position = <POSITION>
-  ) +
-  <COORDINATE_FUNCTION> +
-  <FACET_FUNCTION>
+``` 
+ggplot(data = <DATA>) + 
+ <GEOM_FUNCTION>(
+ mapping = aes(<MAPPINGS>),
+ stat = <STAT>, 
+ position = <POSITION>
+ ) +
+ <COORDINATE_FUNCTION> +
+ <FACET_FUNCTION>
+```
 
 Our new template takes seven parameters, the bracketed words that appear in the template.
 In practice, you rarely need to supply all seven parameters to make a graph because ggplot2 will provide useful defaults for everything except the data, the mappings, and the geom function.

logicals.qmd

@@ -1,11 +1,9 @@
 # Logical vectors {#sec-logicals}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

missing-values.qmd

@@ -1,10 +1,9 @@
 # Missing values {#sec-missing-values}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

numbers.qmd

@@ -1,11 +1,9 @@
 # Numbers {#sec-numbers}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

quarto-formats.qmd

@@ -1,11 +1,9 @@
 # Quarto formats {#sec-quarto-formats}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

quarto.qmd

@@ -1,11 +1,9 @@
 # Quarto {#sec-quarto}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction
@@ -118,7 +116,7 @@ This will display the report in the viewer pane as shown in @fig-diamond-sizes-r
 knitr::include_graphics("quarto/diamond-sizes-report.png")
 ```
 
-When you render the document, Quarto sends the `.qmd` file to **knitr**, [https://yihui.org/knitr/](https://yihui.org/knitr/){.uri}, which executes all of the code chunks and creates a new markdown (`.md`) document which includes the code and its output.
+When you render the document, Quarto sends the `.qmd` file to **knitr**, <https://yihui.org/knitr/>, which executes all of the code chunks and creates a new markdown (`.md`) document which includes the code and its output.
 The markdown file generated by knitr is then processed by **pandoc**, [https://pandoc.org](https://pandoc.org/){.uri}, which is responsible for creating the finished file.
 This process is shown in @fig-quarto-flow.
 The advantage of this two step workflow is that you can create a very wide range of output formats, as you'll learn about in @sec-quarto-formats.

rectangling.qmd

@@ -1,10 +1,9 @@
 # Hierarchical data {#sec-rectangling}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

regexps.qmd

@@ -1,10 +1,9 @@
 # Regular expressions {#sec-regular-expressions}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

spreadsheets.qmd

@@ -1,11 +1,9 @@
 # Spreadsheets {#sec-import-spreadsheets}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

strings.qmd

@@ -1,11 +1,9 @@
 # Strings {#sec-strings}
 
 ```{r}
-#| results: "asis"
 #| echo: false
 
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction

visualize.qmd

@@ -1,10 +1,9 @@
 # Visualize {#sec-visualize .unnumbered}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 After reading the first part of the book, you understand (at least superficially) the most important tools for doing data science.

webscraping.qmd

@@ -1,10 +1,9 @@
 # Web scraping {#sec-scraping}
 
 ```{r}
-#| results: "asis"
 #| echo: false
+
 source("_common.R")
-status("complete")
 ```
 
 ## Introduction