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Artificial Intelligence

Scatter Plots

  • Data Collections
  • Scatter Plots
  • Graphs

Data Collection

Collecting data is the most important part of any Machine Intelligence projects.

The most common data to collect are numbers and measurements.

Often data are stored in arrays representing the relationship between values.

This table contains house prices versus size:

Price7889991011141415
Size5060708090100 110120130140150

Scatter Plots

A Scatter Plot has points scattered over an area representing the relationship between two values.

Example

var xArray = [50,60,70,80,90,100,110,120,130,140,150];
var yArray = [7,8,8,9,9,9,10,11,14,14,15];

// Define Data
var data = [{
  x: xArray,
  y: yArray,
  mode:"markers"
}];

// Define Layout
var layout = {
  xaxis: {range: [40, 160], title: "Square Meters"},
  yaxis: {range: [5, 16], title: "Price in Millions"},
  title: "House Prices vs. Size"
};

// Display with Plotly
Plotly.newPlot("myPlot", data, layout);
Try it Yourself ยป

Graphs

A Graph can also be used to show the same values:

Price7889991011141415
Size5060708090100 110120130140150

Source Code

var xArray = [50,60,70,80,90,100,110,120,130,140,150];
var yArray = [7,8,8,9,9,9,10,11,14,14,15];

// Define Data
var data = [{
  x: xArray,
  y:yArray,
  mode:"lines"
}];

// Define Layout
var layout = {
  xaxis: {range: [40, 160], title: "Square Meters"},
  yaxis: {range: [5, 16], title: "Price in Millions"},
  title: "House Prices vs Size"
};

// Display with Plotly
Plotly.newPlot("myPlot", data, layout);

Try it Yourself »


When to Use Scatter Plots

Scatter plots are great for:

  • Seeing the "Big Picture"
  • Compare different values
  • Discovering potential trends
  • Discovering patterns in data
  • Discovering relationships between data
  • Discovering Clusters and Correlations