We’re making interactive plots
library(tidyverse)
library(plotly)
library(p8105.datasets)
Focus on NYC Airbnb data.
data("nyc_airbnb")
nyc_airbnb =
nyc_airbnb |>
mutate(stars = review_scores_location / 2) |>
select(borough = neighbourhood_group,
neighbourhood, stars, price, room_type, lat, long) |>
drop_na(stars) |>
filter(
borough == "Manhattan",
room_type == "Entire home/apt",
price %in% 100:500
)
Let’s make a scatterplot!
nyc_airbnb |>
mutate(text_label = str_c("Price: $", price, "\nRating: ", stars)) |>
plot_ly(
x = ~lat, y = ~long, color = ~price, text = ~text_label,
type = "scatter", mode = "markers", alpha = 0.5)
Let’s make a box plot!
nyc_airbnb |>
mutate(neighbourhood = fct_reorder(neighbourhood, price)) |>
plot_ly(y = ~price, color = ~neighbourhood, type = "box", colors = "viridis")
Let’s make a bar plot!
nyc_airbnb |>
count(neighbourhood) |>
mutate(neighbourhood = fct_reorder(neighbourhood, n)) |>
plot_ly(
x = ~neighbourhood, y = ~n, color = ~neighbourhood,
type = "bar", colors = "viridis")