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RE: Payment for Coding done

in #codingfund10 months ago

Competitive Analysis: If you're in the airline or travel industry, you can use flight price data to analyze your competitors' pricing strategies. This can help you adjust your own pricing and marketing efforts accordingly.

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Sample flight price data (You can replace this with your actual data)

flight_data = [
{"airline": "Airline A", "route": "Route 1", "date": "2023-09-01", "price": 500},
{"airline": "Airline A", "route": "Route 1", "date": "2023-09-02", "price": 480},
{"airline": "Airline A", "route": "Route 1", "date": "2023-09-03", "price": 520},
{"airline": "Airline B", "route": "Route 1", "date": "2023-09-01", "price": 450},
{"airline": "Airline B", "route": "Route 1", "date": "2023-09-02", "price": 430},
{"airline": "Airline B", "route": "Route 1", "date": "2023-09-03", "price": 460},
# Add more flight data here...
]

Function to compare prices of multiple airlines on the same route

def compare_prices(airline_data, route):
# Filter flight data for the specified route
route_data = [flight for flight in airline_data if flight["route"] == route]

if not route_data:
    return "No data available for this route."

Create a dictionary to store airline prices

airline_prices = {}

Populate the airline_prices dictionary

for flight in route_data:
    airline = flight["airline"]
    price = flight["price"]
    if airline not in airline_prices:
        airline_prices[airline] = []
    airline_prices[airline].append(price)

Calculate the average price for each airline

average_prices = {}
for airline, prices in airline_prices.items():
    average_prices[airline] = sum(prices) / len(prices)

return average_prices

In this script:

flight_data represents the sample flight price data for different airlines and routes. Replace this with your actual data or fetch it through web scraping or an API.
The compare_prices function filters the flight data for the specified route, calculates average prices for each airline on that route, and returns the results in a dictionary.

You can expand and customize this script to include additional data points, such as competitor's amenities, seat availability, or flight schedules, for more comprehensive competitive analysis. Additionally, you can visualize the pricing trends over time to gain a deeper understanding of your competitors' strategies and make informed decisions regarding your own pricing and marketing efforts in the airline or travel industry.

Example usage

route = "Route 1"
price_comparison = compare_prices(flight_data, route)
for airline, avg_price in price_comparison.items():
print(f"{airline}: Average Price for {route} - ${avg_price:.2f}")

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