Difference between revisions of "Air Traffic Visualisers"
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Introduction</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Introduction</font></div> | ||
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The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States. | The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States. | ||
In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened. | In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened. | ||
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Motivation</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Motivation</font></div> | ||
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Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen. | Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen. | ||
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Objectives</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Objectives</font></div> | ||
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*Find out if international flights or domestic flight crashes has a greater effect on the confidence of flights | *Find out if international flights or domestic flight crashes has a greater effect on the confidence of flights | ||
*Other unlikely relationships between airplane crashes and domestic flights taken in US | *Other unlikely relationships between airplane crashes and domestic flights taken in US | ||
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Dataset</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Dataset</font></div> | ||
| + | For this visualisation we need a few datasets. | ||
| + | #Airline Codes - List of airlines IATA and ICAO codes. Retrieved using [https://www.import.io/ Import IO] viahttp://www.flugzeuginfo.net/table_airlinecodes_airline_en.php. | ||
| + | #Airport Locations - List of Longitude and Latitude points of all the airports. (We just need United States) Retrieved from Open Flights.org via http://openflights.org/data.html. | ||
| + | #Domestic US flights Data - List of number of passengers travelling within US. Retrieved from US Department of Transportation via https://www.transportation.gov/policy/aviation-policy/domestic-airline-consumer-airfare-report. | ||
| + | #Airline Crashes - List of airplane crashes happening throughout the world. Retrieved via http://www.planecrashinfo.com/database.htm. | ||
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Exploration of Visualisation Methods</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Exploration of Visualisation Methods</font></div> | ||
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<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Timeline</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Timeline</font></div> | ||
| + | [[File:ACV_Timeline.png|800px|center]] | ||
<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Technologies and Tools</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Technologies and Tools</font></div> | ||
| + | Our team has decided to focus on these few tools and libraries in order to showcase our product. | ||
| + | * Brackets (IDE) | ||
| + | * Github (for version control and Github Pages) | ||
| + | * Microsoft Excel (Data Cleaning) | ||
| + | * Adobe Photoshop (Prototyping storyboard and Wiki Illustrations) | ||
| + | * D3.js (one of the library used to visualise the data) | ||
<div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>References</font></div> | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>References</font></div> | ||
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Revision as of 20:09, 8 October 2016
Project Introduction
The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States.
In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened.
Project Motivation
It is difficult to predict the effect of ‘black swan’ events and how they would affect the airline industry. In the airline industry, crashes are becoming less frequent due to increase in airline safety standards and improving technology. As such, airline crashes tend to be black swan events that are almost unpredictable.
Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen.
Objectives
In this project, we will be focusing on the following:
- Identify the trend between plane crashes and the number of passengers travelling within the US over the past 15 years
- Find out if international flights or domestic flight crashes has a greater effect on the confidence of flights
- Other unlikely relationships between airplane crashes and domestic flights taken in US
Dataset
For this visualisation we need a few datasets.
- Airline Codes - List of airlines IATA and ICAO codes. Retrieved using Import IO viahttp://www.flugzeuginfo.net/table_airlinecodes_airline_en.php.
- Airport Locations - List of Longitude and Latitude points of all the airports. (We just need United States) Retrieved from Open Flights.org via http://openflights.org/data.html.
- Domestic US flights Data - List of number of passengers travelling within US. Retrieved from US Department of Transportation via https://www.transportation.gov/policy/aviation-policy/domestic-airline-consumer-airfare-report.
- Airline Crashes - List of airplane crashes happening throughout the world. Retrieved via http://www.planecrashinfo.com/database.htm.
Exploration of Visualisation Methods
Proposal of StoryBoard
Technical Challenges
Project Timeline
Technologies and Tools
Our team has decided to focus on these few tools and libraries in order to showcase our product.
- Brackets (IDE)
- Github (for version control and Github Pages)
- Microsoft Excel (Data Cleaning)
- Adobe Photoshop (Prototyping storyboard and Wiki Illustrations)
- D3.js (one of the library used to visualise the data)
References
