Pixel Art Infographic: Survival on the Titanic

Welcome to a new disaster analysis infographic, the result of independent research and investigation using data analysis and image editing software.

Infographic Titanic Pixel Art

 

 

Just over 2,000 people boarded the luxury ship Titanic. 1513 did not survive.

“Survival on the Titanic” is a comparative analysis of the survival rates of different and distinct groups during one of history’s most famous tragedies with data visualized in pixel art form.

 

Machine Learning from Disaster

 

The practical use of risk analysis aims to enhance the importance and priority of disaster prevention and preparedness in order to make them more effective,  both as a way of reducing damage and losses from natural disasters and reducing the need for emergency aid.

Thanks to powerful statistical software, we are apply the tools of machine learning to predict which passengers survived the Titanic tragedy.

After exploring the data to understand missing and incomplete elements,  I cleaned the dataset to create our prediction models. For example I found that there were missing values in the Age data set that presented a problem.

So after some exploratory analysis I got deeper into the data (more to come in part 2!).

 

Initial Data Findings

  • Married adults had a slightly higher survival than unmarried ones
  • The results reveal a difference of 21% between the survival rates for adults and children. Of the 109 children aboard the Titanic, 57 or 52.3% survived.
  • Of the 2,092 adults on the ship, 654 or 31.3% survived. It’s interesting to note that women and children were clearly the passengers of choice to save!

It seems to make sense that first class passengers with cabins away from the bottom of the ship (where water entered first) were able to make it aboard lifeboats.

What’s particularly tragic about the numbers reported here is that human error caused many of the deaths. Not only was the number of lifeboats inadequate, but also, the lifeboats were only partially filled. More than 1,100 people could have been saved if the lifeboats had been filled to capacity.

 

Remember to check back with 8-Bit Statistics for parts 2 and 3 of this continuing series of infographic data visualization.

Still to Come: Age breakdown, family Size, Name, Occupation.

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