The report discusses the overview of bird strike dataset analysis findings using SAS Visual Analytics. It explores the impact of bird strikes on aircraft operators and provides suggestions for mitigating bird strikes.
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Student NameStudent ID Big data Analysis Using SAS Visual Analytics ITECH1103- Big Data and Analytics Group Assignment – Semester 1, 2019
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Table of Contents Executive Summary.....................................................................................................................................2 Background..................................................................................................................................................2 Dashboard...................................................................................................................................................4 Additional Visualizations.............................................................................................................................6 Findings of the Analysis.............................................................................................................................10 Discussion of the Findings.........................................................................................................................19 Reflection..................................................................................................................................................20 Conclusion.................................................................................................................................................21 References.................................................................................................................................................21 Appendices................................................................................................................................................23 Additional visualizations........................................................................................................................23 Analysis..................................................................................................................................................26 Dashboard.............................................................................................................................................32
Executive Summary The report discusses the overview of bird strike dataset analysis findings. In this project, BIRDSTRIKE_DATA set is used for the analysis. SAS visual analytics platforms are used in this project.Mostly tables and bar charts are used in this project to show the findings of the conducted analysis. From the conducted analysis different facts related to the bird strikes and its impacts on the airline services are founded. Bird strikes are the major problem to the aircraft operators. Mostly all the major aircraft operators affected by the bird strikes. Nearly 348 species are the major reason for the bird strike. Southwest airlines involved in most of the bird strikes. Most of the bird strikes occurred during the approaching phase. Also, suggestions for mitigating the bird strike are given in this report. Background Bird strike is one of the major problem faced by various aircraft operators all around the world. Throughout the world, bird strike is one of the important reason for the losses and accidents of the aircraft. In general, it is caused by birds as well as some ground animals. The chosen data set contains the pieces of information about the various bird strikes. Here the dataset contains the information of the bird strike from 2001 to 2011. The dataset contains information about the various wildlife species mostly affected by the bird strike. From the chosen dataset we also know about the various aircraft operator who faced bird strikes on the selected time frame. All these details are analyzed using the SAS visual analytics software. This software allows the users to carry out the visual analysis of the dataset (Blascheck, John, Kurzhals, Koch & Ertl, 2016). By using this software we can develop different visual reports. These visual reports help to improve the understanding of the results founded from the analysis. SAS Visual Analytics:
SAS Visual Analytics is a web-based product that has an increasedperformance on the analytics technologies. It discovers the large data of anorganization to identify the patterns, chances and latest trends. The combination ofdata, outline of data and empower the predictive analysis of data. The exploration ofdata and mining are made in an easier way. The SAS LASR Analytics server combines withthe SAS Visual Analytics Explorer of interface for drag and drop of data and for thehigh visual content. This makes an organization to value the enormous amount of data.This results in easier problem solving, to improve the performance of the business, forfuture prediction and to face risk. The SAS Visual Analytics Designer is used to createthe reports and dashboard for the particular devices and webs. The models that are created, tested are based on the patterns used forfinding the information about the data. Overview of visualizations TheSASVisualAnalyticsExplorerexhibitthedatabyusingthevisualizations. VisualizationTypes Automatic chart Selects the type of chart in automatically which is on the data and that sets the visualization. At first, that survey a new set of data. That gives a chart view of the data. Table It displays the data in the table. It is used to test the data source and that should rearrange the data columns and sort. Benefits of using SAS Visual Analytics In SAS Visual Analytics, the user is to increase the analytic power in the data and to search the fresh data sources, investigate the team and to design uncover which belongs to the patterns. Then it is very comfortable for the visual in reports. The traditional reporting is to be
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prescribed that requirement of the search and to send. When the generalized data are succeeded then we have to include the reports are added into the mobile device or in the SAS Visual Analytics Viewer. It provides the users from the following benefits: It allows the user to add the power, it shows the huge amount of data. It authorizes the user to search the data and different measures with heavy speeds. It allows the users to allocate awareness everywhere via the web/mobile device. Dashboard Reasons for Using Movement Playable dashboards are very easy to create and it is useful. But we have to review for a short time. If you want to set your report in motion, why? Where the link of the kiosk (small enclosed structure with the open on one side) and Booth (small stall for the display, sale of goods to sell newspapers, cigarettes) for a short duration. At presentation, we have to determine how long does each page displays and explain about the keys and displays report of the distraction of each page. Design considerations for playable dashboards The aim of the report moves on to the kiosk or a booth, we have to need the information to move faster. The key and diagrams are held quickly except the playable dashboards. A multiplex report is to be reported by the use of small font and the multiple different objects, then the audience is occupied from the report (Bodén & Stenliden, 2019).
The report object is necessary to need your first look and then the entries of the data (graph) are set to move at a fast rate in per page with three or four seconds. Example of a playable Dashboard The report created describes the bird strikes by the aircraft. The report has 25,558 rows of data. The bar chart is used to compare the data and geomap to report the object. The geomap has icons, buttons, colors and it is associated with that legend of the display in the graph. The values are displayed on the color scale in the graph. The report has a geomap, statistics and a bar diagram. The geomap represents the frequency of bird hit on the particular continent of the area. The frequency ranges from 2520 to less than 820. The Asian continent has high frequency and the South American continent is low at frequency. The statistical report is about the total cost collected for remains of wildlife. Sun River airport has spent the total cost of 10 million. The bar diagram represents the frequency
condition of precipitation during various climate change. The frequency of precipitation is higher in the season other than fog, rain, and snow. And there is no precipitation on rainy and snowy seasons ("Editorial Note: Advances in Visual Analytics and Mining Visual Data", 2018). Justifications for the used visual elements on this project In this analysis, we used bar charts and cross tables for visualizing the findings. We used bar charts and pie charts because they are very easy to understand. The bar chart shows the relationship between the variables very clearly. By using that we can compare the different variables. Also, cross tabulation also a quite simple method for understanding. It doesn't requires huge statistical knowledge to interpret. Additional Visualizations In this section of the report the evidence of some other deep investigations are given. Here the six different aspects on the given dataset are analyzed. Relation between Aircraft size and bird strike frequency
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There is a significant relationship between the aircraft size as well as bird strike frequency. From the given graph that is clear in the total bird strikes nearly half of them happen to the large aircraft. But at the same time, we need to consider another thing. In large aircraft, most of the bird strikes are a single or small group. The graph shows clear evidence. Here a large number of bird groups not struck on the large aircraft. Impact of bird size and Aircraft size on the bird strike The above-given cross table shows the relation between the bird size and aircraft size and bird strike frequency. In total bird strikes, most of the bird strikes are caused by the
medium size birds. Among them, nearly 40% of the bird strikes are faced by large aircraft. Bird size is the key factor in bird strikes. Number of Peoples Injured by the bird strike on different regions The above-given bar chart shows no of injuries caused in different regions. In California, most of the injuries because of the bird strikes are recorded. Nearly 2500 human injuries have happened in California. Bird Strikes on different altitude
In bird, striking altitude plays a significant role. In general most of the accidents are noticed in the lower altitudes. Nearly 70 % birds strike happen in the altitude range of the 0 – 500. Birds couldn’t fly at higher altitudes. Bird size vs impact to the flight In aircraft repairs related to the engine is the major problem. From the above give table that is clear striking on the large birds on the engine blades are the major reason for the engine shutdown. In general engine, blades are designed to withstand the bird strike impacts. But the weight of the bird plays a crucial role. Birds over the weight of 3 kg damage the engine blades. Bird strikes on aircraft vs helicopter
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Bothaircraftandhelicopters arevulnerableto bird strikes.Whencomparedto helicopter aircraft are mostly affected by the bird strikes because of its higher speed.
Findings of the Analysis Created the data dictionary for birds’ strikes. The dictionary name is aircraft. It has the BIRDSTRIKE_DATA details such as aircraft, record id, airline/operator, make /model, number of engines, name, altitude bin, and conditional precipitation. There are many numbers of bird strike involved in every aircraft. The bird strikes are happened by many of the different types of wildlife species. The types of wildlife species that
are involved in bird strike are 348. The strike will be taking place in all of the approaches of the aircraft. This diagram reports the frequency of pilot warned of birds and wildlife. The frequency range is high with 60% and low with nearly 50%. There are ten aircraft involved in the bird strike. The aircraft are categorized based on the more number of occurrences of bird strikes. The top five aircraft that are involved in most
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of the bird strikes are Southwest Airlines, Business, American Airlines, Delta Airlines, American eagle airlines. The total strikes of Southwest airline are four thousand five hundred, which is double than the strike frequency of American airlines. The frequency percentage of Business is three thousand hundred (Géryk, 2016). The third aircraft which specified in the bird strike is American airlines, the total frequency of the bird strike occurrence of this airline is two thousand hundred. The fourth highest number of bird strike occurred aircraft is Delta airlines, the frequency of strike in the aircraft is thousand five hundred. The final aircraft in the top five bird strike occurred aircraft is American eagle airlines, the total frequency American eagle airlines is thousand. The bird strikes are categorized into three types based upon their size. That is a small, medium, and large-size of wildlife species. The frequency of bird strikes involved in medium size is twenty-five percentage, and the frequency of the large size bird strike is nine percentage, which is less than all other categories of bird strikes. The frequency in small size bird strike is higher when compared to other types of strike frequencies, the total percentage of small sized bird strike is seventy percentage, which is more than double of the frequency of medium size bird strike frequency.
The bird strike will be classified in each phase of the aircraft. The frequency will be identified by using the bird strikes in each phase of the aircraft. There are totally seven phases that will be used to find the frequency of bird strikes. Most of the bird strikes have occurred in the phase of approach in aircraft when compared to the frequency of other phases. The total strike percentage of approach phase is forty percent. The frequency of strike percentage is more than the other phases of the flight ("Information visualization and visual analytics: challenges and opportunities", 2013). The landing phase, take-off phase, and other phases are less than twenty percentage but the approach phase has double the percentage of all other phases. In most of the rare case, the bird strike in aircraft has occurred while parking, there are nearby fourteen strikes are occurred in the phase of parking of the aircraft. But the strike
frequency while parking is very less when compared to the frequency of other phases in the aircraft. Yes. The bird strike will be differentiated into three types based on the weather condition of the sky. The classifications are no cloud, some cloud, and overcast condition. Most of the bird strike happens at no cloud condition than overcast and some cloud weather condition. From the chosen dataset we founded nearly the percentage of bird strikes at different sky conditions (Ishikawa & fujishiro, 2018). Among them, most of the bird strikes have occurred when no cloud condition. (Nearly 50%). Most of the bird strikes are happening only in none participation condition when compared to other weather conditions. From the chosen dataset, we can identify that many of
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the birds are used to fly in the condition of a clear sky. So the number of occurrences of bird strikes are mostly taking place in none participation condition. When compared to the unknown bird-small, Ring-billed Gull and some other categories in the given data set the Canadian goose has the largest total cost, and it is calculated as $20666597 while the other species in the wildlife species list has the cost of less than $10 (Khosravi & Cooper, 2018). Among all the phases in the aircraft, the approach phase has the number of bird strike frequency in the bird strike. The Canadian goose is addressed as the most costly species when compared to the other species in the wildlife. The most of the occurrence was happened by the Canadian species in the phase of approach in the aircraft while the other phases of the aircraft have the occurrence in less occurrence of bird strikes (Canadian goose).
Cross tab developed for analyzing three different variables. From that we can know about the relation between the “Pilot warned of bird strike”, “Altitude of bin” and “Total cost”. The geomap is created to report the strike of the bird with the given data. The map represents the frequency on the origin state. The dots represent the frequency on that particular state or an area. The big dot has a higher frequency of bird strikes than the small dot. The higher frequency range is approximately 2,520 and lower frequency range is below 840. The higher range is recorded on the Asian continent and the lower range is on the Southern part of America (Luo & MacEachren, 2014).
This statistical diagram reports the total cost spent by the airport. This graph is a comparison between various airports. It has airport data. The vertical side represents the names of the airport and the horizontal side represents the total cost in million. The cost ranges from zero million to twelve and a half million. The airport that spent the highest cost is Troy Municipal ARPT. The total cost is 12.5 million (Nash, 2008). The lowest spent airport is Kansas City INTL with more than 2.5 million of the total cost. The other airports have gradual
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differences between them. The Martin State ARPT and San Francisco INTL ARPT are same in the range of nearly 7.5 million. This report has a plot chart of the clusters analysis. The two variable used in the graph is time out of service and total cost. The time out of service is represented with day, month, date, year and timing. The flight date range is from Saturday, January 1 of 2000 to Tuesday, January 1 of 2008. The total cost is represented in millions of cost from zero to ten million. There are four clusters plotted (Schumann & Tominski, 2011). The observations used to make the graph is 102. The total polyline used is 47.The chart with polylines has cluster id and total cost. The cluster which is orange in color has the highest total cost with nearly 12,397,751. According to the answer of the 15th question, Dallas/ Forth INTL airport faced a large number of bird strikes on the given time span. But the same time in the top five airlines spent higher money for bird strike are differ from the list of airports face a higher number of bird strikes. It all may because of the impact of the bird strike. In the airports spent higher money may be affected by the large size birds. So that they cause higher damage to the flight. Higher damage requires higher money for resolved.
The species that are described in the graph is Canadian goose and Bald eagle. The graph represents the frequency of wildlife species affected due to aircraft. The frequency ranges from zero to four hundred which is high in count. Here the graph is a comparison between Canadian Goose and Bald Eagle. The Canadian goose is high in range than Bald eagle. The range of Canadian goose is nearly four hundred and range of Bald eagle is nearly a hundred (Stapleton, Vitiello & Sebillo, 2011). This report shows the time of day that bird strike is likely to be high of these two species. Discussion of the Findings From the conducted analysis the following findings are identified. From the given dataset one thing is clear, bird strikes have most often occurred. It does not only occur in some places but through the world, we noticed the bird strikes. Bird strikes on the aircraft show impact on the functionality of the aircraft. In many cases, air crafts require immediate service for further operation. Aircraft companies spend huge money on reducing bird strikes and resolving the issues caused by the bird strike. Almost 350 number of birds are involved in the bird strike. In the given dataset nearly 1200 aircraft operator's details are there. All the bird strike can't create damage to the aircraft. Only 5% of bird strikes cause structural damage. Even though aircraft operators spent huge money on bird strikes. Because they are the most dangerous event. Mostly all the bird strikes have occurred during the approach process.
Because during the approach the aircraft flies at the lower altitude. Generally, birds don't fly at high altitude. Most of the bird strikes occur on the height below 200 m. And the impact of the bird strike mainly depends on the area where the impact happening. Most of the times birds strike on the windshield, radar cone, and engine part.The most dangerous place is the radar cone and wings. Because they are relatively fewer strength parts than others. Aircraft manufactures mostly develop the aircraft engines suitable for the bird collision (van Wijk, 2013). So most of the times engine withstand the bird strike. Generally, aircraft engines don't get damaged by the 3.5 kg bird's collision. Reflection The data contained in the given data set was invalid and the data set is large it takes more time to load than other datasets, so we are removing the data which are not in proper meaning. The phases of aircraft details will not be provided properly in the data set, so we are found out each of the phases and the strike frequency of bird strikes. More than 70% of the bird strikes are happened only by Group of small birds.The Group of small birds affects the equipment of the aircraft than the damage caused by the single large bird. We are discovering the top five airports that spent more money on bird strike mitigation. They are Troy Municipal Airport, Martin State Airport, San Francisco Intl Airport, Orlando Sanford Intl Airport, and Newark liberty Intl Airport. We are facing difficulties in finding the accurate frequency of the bird strike occurred in every aircraft. Unavailability of graphic representation is the major drawback of SAS, we are only applying the plots.
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Conclusion At the end of the project that is concluded that the birds striking is one of the most frequently occurred problems affects the aircraft. Nearly all kind of air crafts is facing birds striking. The engine of the aircraft is the most vulnerable to the bird striking. Next to the engine aircraft engine wings affected by the bird striking. In some cases, aircraft and bird collision result from loss of human lives and big accidents. But only 5 % of the bird striking cause the structural damage to the aircraft. All the aircraft operators through the world struggle to mitigate the bird strikes. Nearly $ 500 m amount spend by the US for this issue. These are the major findings of the conducted analysis. Detailed overview of the findings and patterns are discussed in the report. References Blascheck, T., John, M., Kurzhals, K., Koch, S., & Ertl, T. (2016). VA2: A Visual Analytics Approach for Evaluating Visual Analytics Applications.IEEE Transactions On Visualization And Computer Graphics,22(1), 61-70. doi: 10.1109/tvcg.2015.2467871 Bodén, U., & Stenliden, L. (2019). Emerging Visual Literacy through Enactments by Visual Analytics and Students.Designs For Learning,11(1), 40-51. doi: 10.16993/dfl.108 Editorial Note: Advances in Visual Analytics and Mining Visual Data. (2018).Multimedia Tools And Applications,77(14), 17517-17517. doi: 10.1007/s11042-018-5832-9 Géryk, J. (2016). Visual analytics of educational time-dependent data using interactive dynamic visualization.Expert Systems,34(1), e12175. doi: 10.1111/exsy.12175 Information visualization and visual analytics: challenges and opportunities. (2013).SCIENTIA SINICA Informationis. doi: 10.1360/112012-488 Ishikawa, Y., & fujishiro, I. (2018). TideGrapher: Visual Analytics of Tactical Situations for Rugby Matches.Visual Informatics,2(1), 60-70. doi: 10.1016/j.visinf.2018.04.007
Khosravi, H., & Cooper, K. (2018). Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data.Journal Of Learning Analytics,5(3), 136-153. doi: 10.18608/jla.2018.53.9 Luo, W., & MacEachren, A. (2014). Geo-social visual analytics.Journal Of Spatial Information Science, (8). doi: 10.5311/josis.2014.8.139 Nash, M. (2008). Data Preparation for Analytics Using SAS.Technometrics,50(1), 92-92. doi: 10.1198/tech.2008.s533 Schumann, H., & Tominski, C. (2011). Analytical, visual and interactive concepts for geo-visual analytics.Journal Of Visual Languages & Computing,22(4), 257-267. doi: 10.1016/j.jvlc.2011.03.002 Stapleton, G., Vitiello, G., & Sebillo, M. (2011). Special issue on visual analytics and visual semantics: Guest Editors’ introduction.Journal Of Visual Languages & Computing,22(3), 171-172. doi: 10.1016/j.jvlc.2011.02.004 Van Wijk, J. (2013). Evaluation: A Challenge for Visual Analytics.Computer,46(7), 56-60. doi: 10.1109/mc.2013.151
Appendices Additional visualizations 1.Relation between Aircraft size and bird strike frequency 2.Impact of bird size and Aircraft size on the bird strike
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According to the answer of the 15th question, Dallas/ Forth INTL airport faced a large number of bird strikes on the given time span. But the same time in the top five airlines spent higher money for bird strike are differ from the list of airports face a higher number of bird strikes. It all may because of the impact of the bird strike. In the airports spent higher money
may be affected by the large size birds. So that they cause higher damage to the flight. Higher damage requires higher money for resolved. Dashboard