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Project - 4 (Case Study - 4) Part 2 | Data Analysis With Python Pandas | Titanic Kaggle Dataset Dataset Link: https://www.kaggle.com/c/titanic Features of the dataset: - survival - Survival (0 = No; 1 = Yes) - class - Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd) - name - Name - sex - Sex - age - Age - sibsp - Number of Siblings/Spouses Aboard - parch - Number of Parents/Children Aboard - ticket - Ticket Number - fare - Passenger Fare - cabin - Cabin - embarked - Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton) Questions : 11. What is Univariate Analysis? How Many People Survived And How Many Died? How Many Passengers Were In First Class, Second Class, and Third Class? Number of Male And Female Passengers 12. Bivariate Analysis How Has Better Chance of Survival Male or Female? Which Passenger Class Has Better Chance of Survival (First, Second, Or Third Class)? 13. Feature Engineering 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. pandas practice projects pandas projects for beginners pandas python projects pandas project ideas python pandas project ideas python projects using pandas pandas project in python python pandas project example python pandas practice projects pandas project python pandas #PandasProject#DataAnalysisWithPandas
