load data
library(tidyverse)
library(dplyr)
library(p8105.datasets)
library(plotly)
knitr::opts_chunk$set(
fig.width = 6,
fig.asp = .6,
out.width = "90%"
)
theme_set(theme_minimal() + theme(legend.position = "bottom"))
options(
ggplot2.continuous.colour = "viridis",
ggplot2.continuous.fill = "viridis"
)
scale_colour_discrete = scale_colour_viridis_d
scale_fill_discrete = scale_fill_viridis_d
data("instacart")
instacart =
instacart %>%
select(order_id, product_id, order_number, order_hour_of_day,product_name, department) %>%
filter(product_id <= 10)
instacart
## # A tibble: 247 x 6
## order_id product_id order_number order_hour_of_day product_name department
## <int> <int> <int> <int> <chr> <chr>
## 1 5368 10 33 14 Sparkling Oran… beverages
## 2 6695 1 29 1 Chocolate Sand… snacks
## 3 14172 10 30 17 Sparkling Oran… beverages
## 4 48361 1 5 14 Chocolate Sand… snacks
## 5 50978 10 6 8 Sparkling Oran… beverages
## 6 63399 10 10 17 Sparkling Oran… beverages
## 7 63770 1 7 6 Chocolate Sand… snacks
## 8 72425 3 22 16 Robust Golden … beverages
## 9 75339 1 6 13 Chocolate Sand… snacks
## 10 80409 10 9 15 Sparkling Oran… beverages
## # … with 237 more rows
scartter plot
instacart %>%
plot_ly(x = ~product_name, y = ~order_hour_of_day, color = ~department,type = "scatter", mode = "markers")
boxplot
instacart %>%
plot_ly(x = ~product_name, y = ~order_hour_of_day, color = ~department,type = "box", colors = "viridis")
bar plot
instacart %>%
plot_ly(x = ~product_name, y = ~order_hour_of_day, color = ~department,type = "bar", colors = "viridis")