Data Analysis Projects | Pandas Projects | Data Analysis With Python Pandas | Case Studies - 16. Heart Disease Analysis | Python Pandas Project

Heart Disease Analysis | Python Pandas Project Heart disease is the number one cause of death globally. Heart disease is concertedly contributed by hypertension, diabetes, overweight and unhealthy lifestyles. This project covers manual exploratory data analysis and using pandas in Jupyter Notebook. Questions: 1. Import The Libraries And Dataset 2. Display Top 5 Rows of The Dataset 3. Check The Last 5 Rows of The Dataset 4. Find Shape of Our Dataset (Number of Rows And Number of Columns) 5. Get Information About Our Dataset Like Total Number Rows, Total Number of Columns, Datatypes of Each Column And Memory Requirement 6. Check Null Values In The Dataset 7. Check For Duplicate Data and Drop Them 8. Get Overall Statistics About The Dataset 9. Draw Correlation Matrix 10. How Many People Have Heart Disease, And How Many Don't Have Heart Disease In This Dataset? 11. Find Count of Male & Female in this Dataset 12. Find Gender Distribution According to The Target Variable 13. Check Age Distribution In The Dataset 14. Check Chest Pain Type 15. Show The Chest Pain Distribution As Per Target Variable 16. Show Fasting Blood Sugar Distribution According To Target Variable 17. Check Resting Blood Pressure Distribution 18. Compare Resting Blood Pressure As Per Sex Column 19. Show Distribution of Serum cholesterol 20. Plot Continuous Variables Kaggle Link: https://www.kaggle.com/johnsmith88/heart-disease-dataset Github Link: https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS If you enjoy these tutorials, like the video, and give it a thumbs-up, and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos.