plotly-mapping

Learning how to learn....

Outline

Context

Learning approaches

Plotly API

{today's repo}

{context}

So far.....

Read interesting data into an analysis program

Wrangle the data to ask questions about it

Write and share reports with interesting insights

Understanding of R programming syntax

Ability to use Git and GitHub to track code

What's next....

Interactive graphics

Dynamic applications

Introduction to analytical methods

Visualization and coding principles

Collaborative coding techniques

{learning approaches}

If you wanted to learn how to make a map in R, what steps would you take?

Well....

{then what....?}

Build an example

Start with documentation

Top-down Approach

Start with an example

Consult documentation

Bottom-up Approach

Exercise 1: Getting Started

Find the Plotly R documentation

Find an example of a Plotly R bubble map

Get an example of a bubble map up and running

But what does all this mean?

g <- list(
  scope = 'usa',
  projection = list(type = 'albers usa'),
  showland = TRUE,
  landcolor = toRGB("gray85"),
  subunitwidth = 1,
  countrywidth = 1,
  subunitcolor = toRGB("white"),
  countrycolor = toRGB("white")
)

If you wanted to figure out what all that syntax meant, what would you do?

Reference code

Start with documentation

Top-down Approach

g <- list(
  scope = 'usa',
  projection = list(type = 'albers usa'),
  showland = TRUE,
  landcolor = toRGB("gray85"),
  subunitwidth = 1,
  countrywidth = 1,
  subunitcolor = toRGB("white"),
  countrycolor = toRGB("white")
)

Fiddle with your code

Consult documentation

Bottom-up Approach

g <- list(
  scope = 'usa',
  projection = list(type = 'albers usa'),
  showland = TRUE,
  landcolor = toRGB("gray85"),
  subunitwidth = 1,
  countrywidth = 1,
  subunitcolor = toRGB("white"),
  countrycolor = toRGB("white")
)