Kaggle Titanic ship analysis
Name: Abdulhamid Lawal This is an analysis of the HNG internship program (HNG Internship and HNG Premium) and is part of the Data Analysis Stage Zero tasks. Using the Titanic dataset provided by Kaggle, this review seeks to uncover the key factors that impacted the survival chances of passengers on the ill-fated voyage. By examining the dataset, we aim to identify the variables that played a crucial role in determining who survived and who did not. The dataset contains information about passengers on the Titanic, including demographic details, ticket information, and survival outcomes. - The analysis aims to identify factors that influenced survival, using variables like: 1. PassengerId 2. Survived ( outcome variable) 3. Pclass (class of travel) 4. Name 5. Sex 6. Age 7. SibSp (number of siblings/spouses aboard) 8. Parch (number of parents/children aboard) 9. Ticket 10. Fare(Fee paid by each passenger) 11. Cabin 12. Embarked (port of embarkation) Titanic Survival Analysis: Overall Obs