Exploring the Distribution of Age in the Medical Charges Dataset

TLDRThe age distribution in the dataset is almost uniform, with a similar number of customers at each age from 18 to 64, except for ages 18 and 19, which have over twice as many customers. This could be due to factors such as lower insurance premiums for younger ages or the legal age for insurance eligibility.

Key insights

📊The age distribution in the dataset is almost uniform, with 20 to 30 customers for every age from 18 to 64, except for ages 18 and 19.

📈The number of customers at each age reflects the overall population distribution in the United States.

💰The higher number of customers at ages 18 and 19 could be due to factors like lower insurance premiums for younger ages.

Q&A

Why are there over twice as many customers with ages 18 and 19 compared to other ages?

—The higher number of customers at ages 18 and 19 could be due to factors like lower insurance premiums for younger ages or the legal eligibility age for insurance.

Is the age distribution in the dataset reflective of the overall population?

—Yes, the age distribution in the dataset closely aligns with the overall population distribution in the United States.

Timestamped Summary

00:15The age distribution in the dataset is almost uniform, with 20 to 30 customers for every age from 18 to 64, except for ages 18 and 19.

00:18The distribution of ages reflects the overall population distribution in the United States.

00:42The higher number of customers at ages 18 and 19 could be due to factors like lower insurance premiums for younger ages.

Browse more