Plotly

Data and libraries

Loading libraries

library(tidyverse)
library(p8105.datasets)

library(plotly)

Loading data

data(nyc_airbnb)

nyc_airbnb = nyc_airbnb %>%
  mutate(rating = review_scores_location/2) %>%
  select(neighbourhood_group, neighbourhood, rating, price,
         room_type, lat, long) %>%
  filter(
    !is.na(rating),
    neighbourhood_group == "Manhattan",
    room_type == "Entire home/apt",
    price %in% 100:500)

Plotly

Scatterplot

nyc_airbnb %>%
  mutate(
    text_label = str_c("Price: $", price, "\nRating: ", rating)) %>%
  plot_ly(
    x = ~lat, y = ~long, type = "scatter", mode = "markers", 
    color = ~price, text = ~text_label, alpha = 0.5
  )

Boxplots

 nyc_airbnb %>%
  mutate(neighbourhood = fct_reorder(neighbourhood, price)) %>%
  plot_ly(y = ~price, color = ~neighbourhood, 
          type = "box", colors = "viridis")

Barchart

nyc_airbnb %>%
  count(neighbourhood) %>%
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) %>%
  plot_ly(x = ~neighbourhood, y = ~n, type = "bar", color = ~neighbourhood, 
          colors = "viridis")

ggplotly

scatter = nyc_airbnb %>%
  ggplot(aes(x = lat, y = long, color = price)) +
  geom_point(alpha = 0.5) +
  coord_cartesian()

ggplotly(scatter)