-
Welcome to the course
- Welcome to Interactive Dashboards with Shiny
- Overview of Shiny
- Course Logistics
-
Basic Architecture of a Shiny App
- Introduction to Shiny App Architecture
- A Minimal Shiny App
- Add a plot to our App
- Server to UI
- UI to Server
- Add a control to our App
- Using the widget gallery
-
Reactive Datasets
- Basic Reactive concepts
- Making a Reactive from a filter/Using Reactives
- Some hints on using reactives
- Reactive Graphs
-
Using plotly to add more interactions
- Making a Plotly Object
- Integrating Plotly with Shiny
- Adding Tooltips to a Plotly Plot
- Other kinds of plotly interactions
-
Layouts with Quarto
- Introduction to Layouts
- Types of Layouts
- Introduction to Sidebar Layout
- Plot Layout
- Layouts Wrap Up
-
Wrapping Up
- Deploying Your App
- Course Review
Interactive Dashboards with Shiny
Basic Reactive concepts
This lesson is called Basic Reactive concepts, part of the Interactive Dashboards with Shiny course. This lesson is called Basic Reactive concepts, part of the Interactive Dashboards with Shiny course.
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Transcript
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Your Turn
Working in reactivates/01_assignment/assignment_01.Rmd
, do the following:
Build up your dplyr statement by specifying your filter command below.
We want to filter the year_release
variable. Specifically, we want whether a film was released by less than or equal to 2001.
Here is the starter code you'll use:
```{r}
library(fivethirtyeight)
library(ggplot2)
library(dplyr)
data(biopics)
```
Think about it: where would our input value go in this calculation?
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Amy Yates
April 10, 2024
Not a question, but note that the assignment file provided already contains the solution, so there's no work to be done here.