Data Analyst with a passion for Data visualization and storytelling
Public
Edited
Feb 7
Plot.plot({
style: {
background: "#f8df20"
},
marks: [
// Main scatter plot
Plot.image(episode_metrics, {
x: "question_ratio",
y: "exclamation_ratio",
tip: true,
src: src,
r: 8
}),
// Crosshair for better data inspection
Plot.crosshair(episode_metrics, {
x: "question_ratio",
y: "exclamation_ratio",
textFill: "red",
textStroke: "white",
strokeWidth: 3
}),
Plot.image(episode_metrics, {
x: 0.13, // Adjust the X position to keep it near the top-left
y: 0.27, // Adjust the Y position to keep it above the plot area
src: () => logo,
width: 150, // Logo width
height: 100 // Logo height
}),
Plot.image(episode_metrics, {
x: 0.13, // Adjust the X position to keep it near the top-left
y: 0.23, // Adjust the Y position to keep it above the plot area
src: "https://andphilosophy.com/wp-content/uploads/2020/09/bobs-burgers.jpg",
width: 150, // Logo width
height: 100 // Logo height
})
],
height: 600,
width: 700
})
src = "https://cdn-icons-png.flaticon.com/512/4537/4537411.png"
logo = "https://upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Bob%27s_Burgers_logo.svg/2560px-Bob%27s_Burgers_logo.svg.png"
episode_metrics.csv
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