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index.Rmd
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---
title: 'Dashboard Like a Boss'
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
orientation: rows
css: dashboard_source_folder/css/starlight_css.css
theme: bootstrap
---
```{r setup, include=FALSE, message=FALSE, warning=FALSE}
knitr::opts_chunk$set(echo = FALSE) # always echo=FALSE for dashboards. No need to show off. you can include source code if you want
# bc you set echo to false, you don't actually need include=FALSE, message=FALSE, or warning=FALSE in the
# chunk "preamble" (can I call it that? if it's called something else can I still call it that?)
library(flexdashboard) # dashboards!
library(highcharter) # for interactive plots
library(DT) # for search/filter/downloadable tables
library(tidyverse) # doi
options(scipen=999) # keep scientific notation turned off
source('dashboard_source_folder/R/file_export_for_dashboards.R')
```
<div class="footer">
<p> DCR 2019 | Malorie Hughes | [email protected] | github.com/maloriejhughes </p>
</div>
```{r,echo=F}
# pdated <script> document.write(new Date().toLocaleDateString()); </script>
# outline:
# motivation
# anatomy of a dashboard. navigation bar != header.
# map the anatomy to the css code
# define the basic components, and the basic attributes that can be modified.
# everything is like an object. there are
# boarders: margin, padding [learn diff between margin and padding]
# sizes: font-size, height/width
# position: fixed, float.....
# can css take variables? how?
# can i use javascript instead? how?
# find way to set css global custom options for:
# value boxes
# highcharter
# ggplot
# datatable
# color theme
# can use shiny runtime. make a skeleton for that and put on github
# look into navigation menu drop down
# you can bring the css into your code using a chunk:
# ```{css}
# ```
# same way you'd do an r chunk
# create code block looking style option
```
```{r export}
```
Slides {data-orientation="columns"}
=====================================
Column {data-height=800}
-------------------------------------
```{r,dpi=240}
knitr::include_url('Slides/DashboardingSlides.html', height="850px")
```
1. Basic Layout
=====================================
Row {data-height=175}
-------------------------------------
### 1-10, how cool are Value Boxes?
```{r}
valueBox(2
)
```
### 1-10, how cool are gauges?
```{r}
gauge(9
, min = 0 , max = 10
, gaugeSectors( success = c(9, 10), warning = c(7, 9), danger = c(0, 7))
)
```
### 1-10, how cool are Value Boxes + favicon icons?
```{r}
valueBox(7
, icon="fa-tag"
)
```
Row {data-height=300}
-------------------------------------
### stuuuuffff
```{r}
```
### more stuuuffffff
```{r}
```
Row {data-height=300}
-------------------------------------
### great insight
```{r}
```
### so actionable
```{r}
```
Row {data-height=1000, .tabset}
-------------------------------------
### omg
```{r}
```
### it's taaabbbed
```{r}
```
2. Printing {data-orientation="columns"}
=====================================
Column {data-height=1000}
-------------------------------------
```{r,dpi=240}
knitr::include_url('Tutorials/Table-Print-Comparison.html', height="1000px")
```
3. Datasets {data-orientation="columns"}
=====================================
Column {data-height=1000}
-------------------------------------
```{r,dpi=240}
knitr::include_url('Tutorials/Including-Datasets.html', height="1000px")
```
4. Interactive Viz {data-orientation="columns"}
=====================================
Column {data-height=1000}
-------------------------------------
```{r,dpi=240}
knitr::include_url('Tutorials/Highcharter-tutorial.html', height="1000px")
```
5. Exporting
=====================================
Column {data-height=1000}
-------------------------------------
```{r,dpi=300}
knitr::include_url('Tutorials/Exporting.html', height="1000px")
```