Feature description
This feature focuses on structuring skiing statistics for clarity, featuring headers like Run (Trail name), Time of the day, Average slope, Top speed, Average speed, Total travel time, and Waiting time for chairlifts. By organizing data comprehensively, users can easily analyze and compare skiing sessions, facilitating informed decision-making. This clear presentation enhances user experience, enabling efficient navigation and understanding of their skiing activities. It streamlines data interpretation, allowing users to extract valuable insights and track performance trends over time.
Describe the solution you'd like
Groups #4-6 members will collaborate on developing the procedures for generating ski statistics, including a method to calculate the maximum speed achieved per run in kilometers per hour. Subsequently, this computed data will be utilized to populate an XML file, configured with the necessary attributes to present the maximum speed achieved alongside the corresponding date at the ski chairlift location. This display will be formatted using a table structure within the XML file for better organization and readability. The table cells will be empty which will later be filled with the required data.
Describe alternatives you've considered
If the initial approach of using XML proves ineffective, we will be using a relational database system.
Additional context
Analyzing the volume and complexity of skiing statistics helps assess performance needs while anticipating future growth and scalability ensuring the chosen solution can accommodate evolving requirements effectively.
Blesslin40266442
commented
5 months ago
Feature description This feature focuses on structuring skiing statistics for clarity, featuring headers like Run (Trail name), Time of the day, Average slope, Top speed, Average speed, Total travel time, and Waiting time for chairlifts. By organizing data comprehensively, users can easily analyze and compare skiing sessions, facilitating informed decision-making. This clear presentation enhances user experience, enabling efficient navigation and understanding of their skiing activities. It streamlines data interpretation, allowing users to extract valuable insights and track performance trends over time.
Describe the solution you'd like Groups #4-6 members will collaborate on developing the procedures for generating ski statistics, including a method to calculate the maximum speed achieved per run in kilometers per hour. Subsequently, this computed data will be utilized to populate an XML file, configured with the necessary attributes to present the maximum speed achieved alongside the corresponding date at the ski chairlift location. This display will be formatted using a table structure within the XML file for better organization and readability. The table cells will be empty which will later be filled with the required data.
Describe alternatives you've considered If the initial approach of using XML proves ineffective, we will be using a relational database system.
Additional context Analyzing the volume and complexity of skiing statistics helps assess performance needs while anticipating future growth and scalability ensuring the chosen solution can accommodate evolving requirements effectively.