Python Programming: Analyzing Flight Delays with CSV Data

Problem Statement and Data Format

• 🎯 The goal is to analyze flight data to understand patterns in delays and identify airlines with the most significant delays at a particular airport.
• ✈️ The data is collected from past flights and is in CSV format, with each row representing a flight and columns separated by commas.
• ⏱️ Key information includes date, airline, flight number, and various delay fields, with a focus on departure delays in minutes.

Accumulator Pattern for Average Delay

• 💡 A function is designed to calculate the average departure delay for a specific airline.
• ➕ This involves accumulating a list of all delays for that airline and then calculating the average by dividing the sum by the list's length.
• ⚙️ Each CSV string representing a flight needs to be parsed to extract the airline (index 1) and departure delay (index 4).
• ⚠️ Initial data processing reveals type errors (strings instead of integers) and negative delay values, which are treated as zero to exclude early departures from delay calculations.

Identifying Unique Airlines

• 🔍 To compare delays across all airlines, a function is created to extract a list of unique airline names from the flight data.
• 🔄 The initial approach of simply appending airline names to a list results in duplicates; a check is added to ensure only unique names are stored.
• 🔠 Discrepancies in airline name capitalization are identified as an issue, leading to airlines being counted separately.

Data Preprocessing and Separation of Concerns

• 🧼 A preprocessing step is introduced to normalize the data once upfront, addressing inconsistencies like airline name capitalization and negative delay values.
• ⬆️ Airline names are converted to uppercase, and negative departure delays are consistently converted to zero.
• 🧩 This approach, known as separation of concerns, allows each piece of code to focus on a single task, simplifying the analysis functions.
• 📊 The analysis reveals that JetBlue has the worst average delay at the analyzed airport.