What you will learn? This assignment provides you with a real-world operational dataset and guides you step-by-step to find where the problems are and how to improve performance.

management

Description

Bonus Assignment

Analysis of Delays in the Airline Industry

 

 

Note 1: What you will learn? This assignment provides you with a real-world operational dataset and guides you step-by-step to find where the problems are and how to improve performance. You will gain experience with data analysis and data visualization which are highly in demand in today’s job market. If you know how to answer questions from data, you are a hot commodity!

 

Note 2: Knowing how to learn quickly is key. Learn Tableau! This assignment is based on learning! You will need to learn new things on your own. The best education is one that teaches you how to learn new things rather than giving you specific answers. No one clearly knows what skills will be the most important ten years from now, so much of what you learn now can become obsolete. But, those who know how to learn new things quickly will be the most successful.

 

For the same reason, I recommend you learn Tableau for doing this assignment rather than solely relying on Excel.

 

·       If you do the assignment with Tableau (or combination of Tableau and Excel) it will be worth double, i.e. 10% of the final grade or a full letter grade.

·       If you do it solely with Excel, it will be worth 5% of the final grade, i.e. half a letter grade.

 

I will share resources for learning Tableau. Depending on time, I will also provide some tutorials for it in class. Tableau is one of the hottest software packages for data analysis and I can guarantee this will be one of highlights of your resume. However, if you can’t do Tableau, all questions can also be answered with Excel.

 

 

Note 3: Seek help. If do not have time to do all questions, do as many as you can. Or you can come to my office hours and we will do some questions together. My main goal is that you learn a new skill; so ask for help any time and as much as you need.

 

 

 


 

The Assignment

 

You just got hired as a business analyst at Delta Airlines. Your manager gives you your first big assignment: Analysis of Delays in the Airline Industry.

 

Delta has recently started a new initiative to improve its on-time performance and reduce flight delays. Your manager asks you to analyze flight data to help her understand the major sources of delay and the most problematic areas. She wants to gain an overall picture of the airline industry and how Delta, ATL airport and the State of Georgia compares with others. She has limited resources so asks you to figure out what factor causes the most delays. A delayed flight is defined as one that arrives later than schedule.

 

December has historically been one of the toughest months for airlines, so your manager gives you a data from December 2019. The dataset includes every flight performed by Delta’s rivals in December and their delay information. Here is the link to the dataset: https://www.dropbox.com/s/yohfkqgwvqdstz1/Flights%20Dec%202019.xlsx?dl=0

Now buckle up for some serious data analysis.

 

1-     Understand the dataset.

In the attached excel sheet, you will find various sheet that include the actual dataset, data definitions, and links for additional information. Read all of the sheets and make sure you understand what each variable is.

 

2-     Get a general sense of the dataset. Report the following:

a.     How many carriers/airports/flights are there in the dataset?

b.     What percentage of all flights are delayed?

You first need to create a new binary variable called Delayed (1 = delayed arrival, 0= no delayed arrival) and then compare the total number of flights with the total number of delayed flights.

c.      What is the average amount of arrival delay in the industry?

 

3-     Who are the busiest?

a.     Provide two bar charts: the count of departures per state and per airline. Sort descending.

b.     What are the ranks of Georgia and Delta?

 

4-     Where most problems are.

From the previous analysis you find that frequency of flights vastly differ across airlines and airports. So simply counting the delays does not reveal worst performers. In other words, an airline/airport with a large number of flights will also have a large number of delayed flights, but does it mean it is managed badly? Instead of total number of delays, we focus on the percentage of delayed flights which is a better metric for operational performance.

 

a.     Provide two bar charts: the percentage of delayed flights per airport and per airline. Sort descending. Only keep the top 20 airports.

b.     What are the ranks of ATL and Delta?

 

 

5-     Now let’s focus on the sources of delays. First you notice that a vast majority of flights are not delayed. To make the analysis easier, only keep the delayed flights (in Tableau you can simply filter for the delayed flights). You have data on five sources of delays. Make sure you understand what each source means (definitions available in the excel file). Do the following to figure out, how much each source contributes:

a.     Provide a pie chart that includes the five categories (the size of the pie should be proportional to the total delay duration that each source caused.) What is the top source of delay overall?

b.     Repeat the same pie chart but this time only for Delta Airlines. What is the top source of delay for Delta?

 

6-     Any other analyses?

There is an unlimited number of additional analyses you can do. Be creative, ask a question yourself and draw a graph that answers it. Some suggestions might be looking at the flight time (e.g., da of month, day of week) and how it related to the chance of delay.

 

7-     Based on your analysis, write a recommendation to your manager and explain where should she focus her attention regarding the delays (one paragraph at least).

 

 

 

 

Submission Format

 

Your submission must be a word document with numbered answers (written and graphical) to questions 2-7 and all sub-questions. Example format (fictional answers):

 

Question 2:

a.     5 carriers. 10 airports. 1000 flights.

b.     2%

c.      300 miles.

Question 3:

a.     [Bar chart of the count of departures per state]

[Bar chart of the count of departures per airline]

b.     Georgia ranks number 3 among all states. Delta ranks number one among all airlines.

Question 4:

etc.


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