Created for the Developing Data Products class on the Data Science Specialization from the Johns Hopkins University
The Titanic Data Explorer was created to explore the Titanic passengers dataset.
Now, you can explore the Titanic passengers dataset right in your browser!
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.
One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.
Here's a sample screenshot of the app.
Here's a summary of the data you'll be able to explore in the Titanic Data Explorer.
summary(titanic)
X Passenger.Name Passenger.Sex
Min. : 1 Connolly, Miss. Kate : 2 Female:466
1st Qu.: 328 Kelly, Mr. James : 2 Male :843
Median : 655 Abbing, Mr. Anthony : 1
Mean : 655 Abbott, Master. Eugene Joseph : 1
3rd Qu.: 982 Abbott, Mr. Rossmore Edward : 1
Max. :1309 Abbott, Mrs. Stanton (Rosa Hunt): 1
(Other) :1301
Passsenger.Age Passenger.Survived Passenger.Class
Min. : 0.00 NO :809 1st Class:323
1st Qu.:21.00 YES:500 2nd Class:277
Median :28.00 3rd Class:709
Mean :29.86
3rd Qu.:39.00
Max. :80.00
NA's :263