Roller Coasters Of The World
Performance, Quality, and Innovation
By [source]
About this dataset
This dataset offers a comprehensive analysis of roller coaster performance quality. It contains detailed information about everything from seating arrangements and speeds to points awarded, rankings, and even awards won! The three key data files are Golden_Ticket_Award_Winners_Steel.csv, Golden_Ticket_Award_Winners_Wood.csv and roller coasters.csv - all of which provide statistical data or rankings that accurately catalog the roller coaster performances available today. This dataset features an array of columns covering all facets from length and speed to rank, name, location and material type allowing for a detailed look at the modern day roller coaster performance analysis like never before! Unlock the power this data holds in deciphering what makes up some of today's most thrilling amusement park rides worldwide – providing users with statistics that will leave them exhilarated yet awed!
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How to use the dataset
This dataset provides all the necessary information for you to get an insight into what roller coasters have received high awards and their individual scores. It is useful for finding out which roller coasters are most sought after and how each one was rated from an objective point of view. This information can be used in various ways, such as determining which amusement parks have the best rides, or looking up reviews and experiences from other people.
Research Ideas
- Creating a heatmap visualizing the number of award-winning roller coasters and the locations of amusement parks across different countries.
- Creating an interactive timeline to compare and track the changes in rankings and points awarded over time for different types of roller coasters, such as steel or wood.
- Creating a graph comparing speed, height and length for top-ranked roller coasters to show how their performance varies based on these parameters
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: Golden_Ticket_Award_Winners_Steel.csv
Column name |
Description |
Rank |
The ranking of the roller coaster in the year. (Integer) |
Name |
The name of the roller coaster. (String) |
Park |
The amusement park where the roller coaster is located. (String) |
Location |
The location of the amusement park. (String) |
Supplier |
The manufacturer of the roller coaster. (String) |
Year Built |
The year the roller coaster was built. (Integer) |
Points |
The points awarded to the roller coaster. (Integer) |
File: Golden_Ticket_Award_Winners_Wood.csv
Column name |
Description |
Rank |
The ranking of the roller coaster in the year. (Integer) |
Name |
The name of the roller coaster. (String) |
Park |
The amusement park where the roller coaster is located. (String) |
Location |
The location of the amusement park. (String) |
Supplier |
The manufacturer of the roller coaster. (String) |
Year Built |
The year the roller coaster was built. (Integer) |
Points |
The points awarded to the roller coaster. (Integer) |
File: roller_coasters.csv
Column name |
Description |
name |
The name of the roller coaster. (String) |
material_type |
The type of material used to construct the roller coaster. (String) |
seating_type |
The type of seating arrangement on the roller coaster. (String) |
speed |
The maximum speed of the roller coaster. (Integer) |
height |
The maximum height of the roller coaster. (Integer) |
length |
The total length of the roller coaster. (Integer) |
num_inversions |
The number of inversions on the roller coaster. (Integer) |
manufacturer |
The manufacturer of the roller coaster. (String) |
park |
The amusement park where the roller coaster is located. (String) |
status |
The current status of the roller coaster. (String) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .