Use the classification of variables from the Unit 1 assignment to match each variable to one appropriate type of graph

Introduce yourself

The graph is a powerful tool to present data visually and in an easy-to understand format. Graphs are a great way to reveal trends, patterns and distributions that might not have been apparent when presented in tabular form. This assignment will involve creating graphs and describing the distributions of variables using the Heart Rate Dataset.

Variables classification

We can use the assignment from Unit 1 to classify variables within the Heart Rate Dataset.

Variable 1: Age – quantitative continuous Variable 2: Gender – qualitative Variable 3: Heart rate – quantitative continuous

Graphs displaying variables

Variable 1: Age – quantitative continuous

A histogram would be the best graph for this variable. A histogram represents the frequency distribution in a continuous variables.

The distribution of ages is relatively normal, with most people falling in the 20-60 age bracket.

Variable 2: Gender – qualitative

A pie chart would be the best graph for this variable. Pie charts show the percentage of each type within a qualitative factor.

This pie chart shows a sample that is equally split between men and women, each gender representing roughly half the sample.

Variable 3: Heart rate – quantitative continuous

A histogram would be the best graph for this variable. A histogram represents the frequency distribution in a continuous variables.

Histograms show that heart rates have a normal distribution, and the mean rate is around 70 beats per minutes.

Distribution of Values

Variable 1: Age – quantitative continuous

The distribution of ages is fairly normal. Most people are aged between 20 and 60. A few people are over the 80-year age limit, which is an outlier.

Variable 2: Gender – qualitative

This pie chart shows an even split of males and females in the sample, each representing roughly half. The distribution of the genders is not a pattern.

Variable 3: Heart rate – quantitative continuous

Histograms show that heart rates have a normal distribution, and the mean rate is around 70 beats per minutes. A few people are at the higher end of heart rate, and some individuals even exceed 100 beats a minute.

The Importance Of Graphs

The graph is a powerful tool to present data visually and in an easy-to understand format. These graphs are a great way to reveal trends and patterns in the data, which might not have been apparent when presented in tabular format. They may also be used to help identify anomalies or outliers in data, which are worth investigating further. Graphs in healthcare can be used for monitoring patient vitals, tracking disease outbreaks or evaluating the effectiveness of interventions. Proper graph use is essential to effectively interpreting and communicating healthcare data.