Creating Dashboards with Shiny

Slides

1. Introduction to the webinar and instructor (led by DataCamp TA).
2. Introduction to the topics.
3. Discuss the need for data scientists to build web apps.
4. Introduction to the MoMa dataset and app we will be building.

Live Training

Shiny 101

1. Understand building blocks of a Shiny App (textInput, plotOutput, fluidPage)
2. Explore reactivity (reactive, reactiveValues)
3. Build a simple shiny app

Inputs, Outputs, Layouts

1. Explore inputs: textInput, numericInput, sliderInput, and selectInput
2. Explore outputs: renderPlot/plotOutput, renderPlotly/plotlyOutput, renderDT, and DTOutput
3. Explore layouts: sidebarLayout, sidebarPanel, tabPanel, tabsetPanel
4. Combine inputs, outputs, and layouts to build a small shiny app.

Building Dashboard

1. Design the layout of the dashboard and spec out the interactions.
2. Identify individual components, and build them.
3. Put them all together in a dashboard.

Ending slides

1. Recap of what we learned.
2. The data products mindset.
3. Importance of deliberate practice.
4. Call to action and course recommendations.