Titanic Survival Calculator

This is a personal project

Titanic Survival Prediction Shiny App

This Shiny app allows users to predict the survival probability of a Titanic passenger based on selected features, such as ticket class, gender, age, and embarkation port. The app utilizes a logistic regression model trained on the Titanic dataset to predict the likelihood of survival.

Features

• Survival Prediction: Input a passenger's ticket class, gender, age, and embarkation port to predict their survival status (Yes/No).
• Visualizations: View various plots that provide insights into survival rates:
  • Survival rate by ticket class.
  • Survival rate by gender and class.
  • Age distribution by ticket class and survival status.
  • Model coefficients that were used to train the logistic regression model.

Technologies Used

• R
• R packages
  • shiny
  • dpylr
  • ggplot2

Interpretation of Results:

• Prediction: The app displays whether the passenger is predicted to survive or not based on the logistic regression model.
• Model Coefficients Plot: This plot shows the coefficients of the logistic regression model. Positive coefficients increase the probability of survival, while negative coefficients decrease it.

Project Collaborators:

• Shreya Gantayat
• Niket Girdhar (me)