Comparative analysis of cardiovascular disease in women/men

Inspiration

According to WHO, cardiovascular diseases are the leading cause of death in the world, totalling to around 17.9million deaths per year. In fact, most of us probably know someone close to us diagnosed with a cardiovascular disease, and surely, it's a terrifying experience. Despite being extremely prevalent, many people are not aware of the possible causes and implications of cardiovascular diseases. So, in order to learn more about it ourselves and share our analysis with others, we decided to chose a data set on this important aspect of overall individual and global health.

What it does

Our data analysis centres mostly on the comparison of cardiovascular diseases and its possible correlations with other health related factors in women vs men.

How we built it

We used google colab as our main library for coding and data analysis. We imported numpy, pandas, seaborn, and matplotlib for conducting the analysis and making graphs.

Challenges we ran into

Thinking of ways to efficiently plot the graphs and managing the large a number of variables and data frames because of the massivity of the data set posed as a major challenge to us, however, with a little bit of organising we were able to overcome these problems.

Accomplishments that we're proud of

Being able to learn how to use basic functions in python for data analysis, like getting rid of anomalies and creating comparative graphs.

What's next for big brain moment

Learning how to analyse data with more detail and write codes more efficiently in the future. Hopefully enhancing our problem solving skills and interest for coding.