# Medical Insurance Costs - Portfolio Project

HI All,

New poster here.

I have recently completed the US Medical Insurance Costs Portfolio Project. This project was a lot of fun and I enjoyed putting together everything I have learned so far.

It took me roughly 3-4 hours, but i’m sure i’ll be adding more to it later.

Thanks everyone, would love any feedback.

Congrats on completing the project. And yep, it’s one that you’ll revisit as you progress thru the course.

Thoughts:

• I like the introductory blurb at the top of the notebook & use of comments tells the reader your intentions. Where did the data come from? Kaggle? (I cannot recall).

• seems you have a solid understanding on how to write functions.

• there are 1338 records in the data set, not 1339 (you don’t count the column names row).
See (this is using Pandas):

``````df.shape
>>(1338, 7) #rows, cols
``````
• the avg. charge isn’t \$1338, it’s \$13270. But, in this case it’s better to calculate the median b/c there are outliers in the data that pull the mean. So, I think that function needs to be tweaked a bit.
``````df['charges'].describe().round(2)
>>count     1338.00
mean     13270.42
std      12110.01
min       1121.87
25%       4740.29
50%       9382.03
75%      16639.91
max      63770.43
``````
• Maybe rather than calculating the sum totals for each region and men vs. women, it would be a better idea to find the median for each? Just a thought.

• the visualizations are missing. Or, maybe you meant to add them at a later date?

Good work! Happy coding.

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