Data Science – Plotting Linear Functions

Data Science Visualization: Sports Watch Data

Table of Contents

Health Data Overview

Duration	Average_Pulse	Max_Pulse	Calorie_Burnage	Hours_Work	Hours_Sleep
30	80	120	240	10	7
30	85	120	250	10	7
45	90	130	260	8	7
45	95	130	270	8	7
45	100	140	280	0	7
60	105	140	290	7	8
60	110	145	300	7	8
60	115	145	310	8	8
75	120	150	320	0	8
75	125	150	330	8	8

Calorie Burnage vs Average Pulse

The graph below shows the relationship between Average Pulse and Calorie Burnage. As the Average Pulse increases, Calorie Burnage tends to increase as well. This suggests a linear relationship between the two variables.

The Relationship Between Average Pulse and Calorie Burnage

In this section, we will explore the relationship between Average Pulse and Calorie Burnage. As Average Pulse increases, Calorie Burnage increases proportionally. This shows a linear relationship that can be represented visually with a graph.

Linear Relationship

As the Average Pulse increases by 10 beats per minute, the Calorie Burnage increases by 20 calories.

80 90 100 110

240 260 280 300

Understanding the Data

In the above graph, the data points represent the relationship between Average Pulse (x-axis) and Calorie Burnage (y-axis). As Average Pulse increases from 80 to 125, the Calorie Burnage also increases. The pattern suggests that for every 10 increase in Average Pulse, the Calorie Burnage increases by approximately 20 calories.

For example:

At an Average Pulse of 80, the Calorie Burnage is 240.
At an Average Pulse of 90, the Calorie Burnage is 260.
At an Average Pulse of 100, the Calorie Burnage is 280.

Introduction to Data Science Written Edition English Tutorial

Curriculum