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Airline Analysis

Prepare a report in a document file (.doc or .docx) which includes all relevant tables and figures, using the following structure: 1. Section 1: Introduction Give a brief introduction about the assignment and search related Article and write a one paragraph of summary which should be a support for your assignment. You need to give the full citation of the article. Dataset 1: Give a short description about this dataset. Is this primary or secondary data? What are the types of variables involved? Explain briefly what are the possible cases used in this study. Dataset 2: Explain how you collect the data and discuss its limitation (e.g. whether your sample is biased). Is this primary or secondary data? What is/are the type(s) of variable(s) involved? Give a description of cases you consider for this data set. 2. Section 2: Analysis of single variable in Dataset 1 To answer the research question “What is the shape of the distribution of the variable All Flights?”, provide a suitable numerical summary and graphical display for the variables All Flight of Dataset 1. Give a detail comments to answer the research question. Now to answer the research question “Is the average number of flights

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Added on  2023-04-21

About This Document

This assignment aims at comparing the airline and airports of Australia according to their performances. Two datasets are tackled with the consent of answering the assignment’s objective. Different airlines and airports have been designed to carry different capacities of passengers. Airports have a significant value in the aviation industry. Passengers using airport had been complaining about the high amount they charge and the discrimination of the prices. New regulation laws were formed to succumb to this issue. Higher prices affected industries related to airports such as tourism. Airports had been facing different kinds of competition such as: Competition for serving a shared local market, Competition for connecting traffic, Competition for cargo traffic, Destination competition and Competition from the outside suppliers. Dataset1 is a secondary data which contains 1000 observations and 16 variables. Dataset2 was collected by surveying the data available in the public domain. The secondary data obtained might be biased since it contains samples which may differ from the actual data. The dataset contains 150 observations and 16 columns.

Airline Analysis

Prepare a report in a document file (.doc or .docx) which includes all relevant tables and figures, using the following structure: 1. Section 1: Introduction Give a brief introduction about the assignment and search related Article and write a one paragraph of summary which should be a support for your assignment. You need to give the full citation of the article. Dataset 1: Give a short description about this dataset. Is this primary or secondary data? What are the types of variables involved? Explain briefly what are the possible cases used in this study. Dataset 2: Explain how you collect the data and discuss its limitation (e.g. whether your sample is biased). Is this primary or secondary data? What is/are the type(s) of variable(s) involved? Give a description of cases you consider for this data set. 2. Section 2: Analysis of single variable in Dataset 1 To answer the research question “What is the shape of the distribution of the variable All Flights?”, provide a suitable numerical summary and graphical display for the variables All Flight of Dataset 1. Give a detail comments to answer the research question. Now to answer the research question “Is the average number of flights

   Added on 2023-04-21

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AIRLINE ANALYSIS 1
Analyzing Different Airline to Compare Their Performances Through Competition In Aviation
Industry
Name
Institution
Course
Airline Analysis_1
AIRLINE ANALYSIS 2
Analyzing Different Airline to Compare Their Performances Through Competition In Aviation
Industry
Introduction
This assignment aims at comparing the airline and airports of Australia according to their
performances. Two datasets are tackled with the consent of answering the assignment’s
objective. Different airlines and airports have been designed to carry different capacities of
passengers. Airports have a significant value in the aviation industry (Hancioglu, 2008). An airport
does the activity of transporting passengers and freight from one region to another. By doing
this, they create employment for their citizens, and in return, it grows their country's economy.
The UK, Canada, Australia, and New Zealand are the pioneers in this industry (Gillen and
Niemeier, 2006). Passengers using airport had been complaining about the high amount they
charge and the discrimination of the prices. New regulation laws were formed to succumb to this
issue. Higher prices affected industries related to airports such as tourism. Airports had been
facing different kinds of competition such as:| Competition for serving a shared local market,
Competition for connecting traffic, Competition for cargo traffic, Destination competition and
Competition from the outside suppliers (Tretheway and Kincaid, 2006),
Dataset1 is a secondary data which contains 1000 observations and 16 variables. The data
contains information about Australian City, International City, Airline, Route, Port Country, Port
Region, Service Country, Service Regions, Stops, and Maximum seats, the total number of
flights, the year, traveling In and Out and the month.
Dataset2 was collected by surveying the data available in the public domain. The secondary data
obtained might be biased since it contains samples which may differ from the actual data. The
dataset contains 150 observations and 16 columns.
Airline Analysis_2
AIRLINE ANALYSIS 3
Section 2: Analysis of a single variable in Dataset 1
Below is the summary of the total number of flights:
The graphical display of the total number of flights
1
10.67741935
20.35483871
30.03225806
39.70967742
49.38709677
59.06451613
68.74193548
78.41935484
88.09677419
97.77419355
107.4516129
117.1290323
126.8064516
136.483871
146.1612903
0
20
40
60
80
100
120
140
160
180
Histogram of All flights
Frequency
The data is positively skewed to the right. This is deduced using the mean value which is 24.56.
Majority of the data are skewed to the right.
Airline Analysis_3

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