Final Project
Final Project Akera Bennett This provides a basic outline. Insert additinal code chunks and subheadings as needed. Also change headings as appropriate Delete this information before creating final version
Introduction The topic of this project is to find what social factors may have an effect on survival during maritime disasters. What would be a reason one group is more likely to survive than another group, this is what the project is about. Finding out how social norms predict the outcomes of disasters, in this project particularly maritime disasters. This topic is an interesting analysis to do because it explain to use what reason people survive and don’t survive. This information could be used to contribute to our knowledge and understanding of sociological issues because it shows the ways that society operates during disasters. It explains, if everyone is out to help themselves only, or if they actual want to help other people. If people do chose to help other people, this information can be helpful in showing who they chose to help.
Background It is important when looking through this type of data to find as much information as you can. The individual data shows an abundance of information for the ships, but it also helpful to look at the ships data set because you get to compare variables and traits directly with all the ships. You get to see the data as a whole instead of just each individual ship. Also, you get to see what data may be important to focus on. The ship data gives us important information but the information given in the individual ships data is a lot more specific. Also, each ship has data that is unique to only that ship.
My Ship History and Details The SS Norge was a Danish passenger ship that was carrying emigrants to New York. The ship set sail in June of 1904. There was 71 crew members, 9 second class, and 694 steerage passengers. In total the ship had 727 passengers. Steerage passengers meaning, travelers who did not have enough money to travel on the deck. Steerage was in cargo spaces, the tickets were cheap. Mainly poor immigrants traveled this way. The ship collided with a rock near Rockall. Rockall is within an exclusive economic zone the UK. The collision ripped holes in the ship’s hull where water began to flood. Many passengers jumped overboard but either drowned or pulled under by the suction of the sinking ship. It took the ship twelve minutes to sink. There were 160 survivors. The titanic had collided with an iceberg. It had 1317 passengers on the ship, which was almost two times as much as the SS Norge had. It took the titanic two hours and forty minutes to sink. Which is a significant time difference. The titanic had about 705 survivors.
My Ship Compared to Other Ships in the Disaster Data My ship compared to the other ships is from first look similar. Many of the attributes of my ship coinside with the other ships. For example , the SS Norge had about half as many passengers as the RMS Titanic did. The graph below shows the SS Norge in the middle when it comes to the amount of passengers each ship had. The SS Norge land basically in the middle of all the other ships. My ship is close to the median of amount of passengers for all of the ships. The median of all of the ships is 733 while the total amount of passengers on 1
the SS Norge was 727 passengers. Another variable that stuck out in these sets of data is cause, many of the ships had the same cause. There were ome ships whose cause was unique because not many or none of the other ships had the same cause.The cause for my ship was collision, and this was the most common out of the causes for all of the ships. What was unique is that one ships cause was being torpedoed. median(ships$`No. of passengers`,na.rm = FALSE) ## [1] 733 plot1
Introduction The topic of this project is to find what social factors may have an effect on survival during maritime disasters. What would be a reason one group is more likely to survive than another group, this is what the project is about. Finding out how social norms predict the outcomes of disasters, in this project particularly maritime disasters. This topic is an interesting analysis to do because it explain to use what reason people survive and don’t survive. This information could be used to contribute to our knowledge and understanding of sociological issues because it shows the ways that society operates during disasters. It explains, if everyone is out to help themselves only, or if they actual want to help other people. If people do chose to help other people, this information can be helpful in showing who they chose to help.
Background It is important when looking through this type of data to find as much information as you can. The individual data shows an abundance of information for the ships, but it also helpful to look at the ships data set because you get to compare variables and traits directly with all the ships. You get to see the data as a whole instead of just each individual ship. Also, you get to see what data may be important to focus on. The ship data gives us important information but the information given in the individual ships data is a lot more specific. Also, each ship has data that is unique to only that ship.
My Ship History and Details The SS Norge was a Danish passenger ship that was carrying emigrants to New York. The ship set sail in June of 1904. There was 71 crew members, 9 second class, and 694 steerage passengers. In total the ship had 727 passengers. Steerage passengers meaning, travelers who did not have enough money to travel on the deck. Steerage was in cargo spaces, the tickets were cheap. Mainly poor immigrants traveled this way. The ship collided with a rock near Rockall. Rockall is within an exclusive economic zone the UK. The collision ripped holes in the ship’s hull where water began to flood. Many passengers jumped overboard but either drowned or pulled under by the suction of the sinking ship. It took the ship twelve minutes to sink. There were 160 survivors. The titanic had collided with an iceberg. It had 1317 passengers on the ship, which was almost two times as much as the SS Norge had. It took the titanic two hours and forty minutes to sink. Which is a significant time difference. The titanic had about 705 survivors.
My Ship Compared to Other Ships in the Disaster Data My ship compared to the other ships is from first look similar. Many of the attributes of my ship coinside with the other ships. For example , the SS Norge had about half as many passengers as the RMS Titanic did. The graph below shows the SS Norge in the middle when it comes to the amount of passengers each ship had. The SS Norge land basically in the middle of all the other ships. My ship is close to the median of amount of passengers for all of the ships. The median of all of the ships is 733 while the total amount of passengers on 1
the SS Norge was 727 passengers. Another variable that stuck out in these sets of data is cause, many of the ships had the same cause. There were ome ships whose cause was unique because not many or none of the other ships had the same cause.The cause for my ship was collision, and this was the most common out of the causes for all of the ships. What was unique is that one ships cause was being torpedoed. median(ships$`No. of passengers`,na.rm = FALSE) ## [1] 733 plot1
