A company wants to analyze the ticket fares of passengers on the Titanic. They have a dataset containing details about each passenger, including their fare prices. However, some fare values are missing. The goal is to visualize the fare trends across passengers while handling the missing values effectively.
### **Solution**
To solve this, we create an interactive line chart that displays how fares change across passengers. The steps are as follows:
1. **Load the Titanic Dataset** – The dataset includes passenger details such as age, class, and fare.
2. **Extract Relevant Data** – We focus on the fare column and use the passenger index for the x-axis.
3. **Handle Missing Values** – To ensure a smooth trend line, missing fares are filled using interpolation, which estimates missing values based on nearby data points.
4. **Create a Line Chart** – The fare values are plotted on the y-axis, with the passenger index on the x-axis.
5. **Make it Interactive** – Using Plotly, we generate an interactive visualization that allows zooming and hovering over data points for details.
This solution helps analyze fare trends while ensuring missing values do not disrupt the visualization.
