(ANL203) Analytics for Decision Making You are to analyze a dataset AirTicket.xlsx to answer the following questions. The provided dataset contains several records of one-way airline tickets sold over a quarter. Each record represents one air ticket. It is possible to have a single ticket that allows multiple passengers to fly,

You are to analyze a dataset AirTicket.xlsx to answer the following questions. The provided dataset contains several records of one-way airline tickets sold over a quarter. Each record represents one air ticket. It is possible to have a single ticket that allows multiple passengers to fly, e.g., corporations or travel agencies made the purchase. Download the dataset “AirTicket.xlsx” from Canvas.

Variables Dictionary

  •  ID: Unique record identifier
  •  ORIGIN: Origin Airport Code
  • DEST: Destination Airport Code
  •  TICKET_CARRIER: Ticketing Carrier Code for On-line Itineraries
  • OPERATING_CARRIER: Operating Carrier Code for On-line Itineraries
  •  PASSENGERS: Number of Passengers
  • MARKET_FARE: Market Fare
  • MARKET_DISTANCE: Market Distance (miles) DISTANCE_GROUP: DistanceGroup, in 500 Mile Intervals

(a) Identify one (1) business problem that can be addressed by analyzing the data. Your description should provide a clear understanding of what data fields are of interest and how the data fields can be used to address the business problem. (Up to 150 words for part (a)

(b) Create a summary of the dataset in tabular format. It should identify the data type of each data field, explain the meaning of the measurements in the data, and calculate the key attributes and summary measures. (Up to 200 words for part (b)

(c) Prepare the provided raw data in a form suitable for analysis by fixing the data issues and errors and performing necessary data transformation. Illustrate any necessary data preparation with example(s). (Up to 200 words for part (b)

(d) Employ two (2) graphical charts to present the key features of the data variables or to explore the relationship among variables. You may use any software tool (such as Excel, Power BI, etc.) to produce the proposed graphical chart. Use pivot table(s) to find the average revenue per passenger for each DISTANCE_GROUP. The pivot table(s) should be produced using Excel. Provide a screenshot of each produced chart/pivot table. Use up to 350 words to explain how the charts and the pivot table(s) are produced and discuss
why the charts and the pivot table(s) are recommended.

The word limit does not apply to visuals or screenshots of data preparation example(s), charts, and pivot tables. 20 marks will be allocated to the professional presentation and writing of your TMA report, e.g., covering the following aspects,

  •  Organization
  •  Communication of ideas
  • Citation and reference
  •  Grammar

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