knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
library(plotly)
## Loading required package: ggplot2
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
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##     last_plot
## The following object is masked from 'package:stats':
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##     filter
## The following object is masked from 'package:graphics':
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##     layout
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
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##     filter, lag
## The following objects are masked from 'package:base':
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# Built-in custom dataset
food_data <- data.frame(
  Food = c("Pizza", "Tacos", "Sushi", "Cheeseburger", "Ramen", "Ice Cream", "Chocolate Cake", "Donut", "Caesar Salad"),
  Category = c("Savory", "Savory", "Savory", "Savory", "Savory", "Sweet", "Sweet", "Sweet", "Savory"),
  Calories = c(300, 205, 160, 535, 450, 260, 370, 280, 180),
  Happiness = c(9.5, 9.0, 8.8, 8.5, 9.2, 9.4, 8.9, 7.8, 5.2),
  Popularity = c(95, 88, 82, 90, 85, 92, 80, 75, 40)
)

X-Axis: Average Calories per Serving

Y-Axis: Happiness / Joy Rating (out of 10)

Color: Category (Savory vs. Sweet)

Marker Size: Popularity Index