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:

Price	7	8	8	9	9	9	10	11	14	14	15
Size	50	60	70	80	90	100	110	120	130	140	150

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

Example

const xArray = [50,60,70,80,90,100,110,120,130,140,150];
const yArray = [7,8,8,9,9,9,10,11,14,14,15];
// Define Data
const data = [{
    x: xArray, y: yArray, mode:"markers"
  }];
// Define Layout
const 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);

Graphs

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

Price	7	8	8	9	9	9	10	11	14	14	15
Size	50	60	70	80	90	100	110	120	130	140	150

Source Code

const xArray = [50,60,70,80,90,100,110,120,130,140,150];
const yArray = [7,8,8,9,9,9,10,11,14,14,15];
// Define Data
const data = [{
    x: xArray, y:yArray, mode:"lines"
  }];
// Define Layout
const 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);

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

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