Pokmon-Legendary-Data
OpenML dataset with id 43379
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102204/Pokmon-Legendary-Data.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of classes: 0
Number of features: 14 (numeric: 12, symbolic: 0 and in total binary: 0 )
Number of instances: 801
Number of instances with missing values: 117
Number of missing values: 138
Context In the world of Pokmon academia, one name towers above any other Professor Samuel Oak. While his colleague Professor Elm specializes in Pokmon evolution, Oak has dedicated his career to understanding the relationship between Pokmon and their human trainers. A former trainer himself, the professor has first-hand experience of how obstinate Pokmon can be particularly when they hold legendary status. For his latest research project, Professor Oak has decided to investigate the defining characteristics of legendary Pokmon to improve our understanding of their temperament. Hearing of our expertise in classification problems, he has enlisted us as the lead researchers. Our journey begins at the professor's research lab in Pallet Town, Kanto. The first step is to open up the Pokdex, an encyclopaedic guide to 801 Pokmon from all seven generations.
Content After browsing the Pokdex, we can see several variables that could feasibly explain what makes a Pokmon legendary. We have a series of numerical fighter stats attack, defense, speed and so on as well as a categorization of Pokemon type (bug, dark, dragon, etc.). is_legendary is the binary classification variable we will eventually be predicting, tagged 1 if a Pokmon is legendary and 0 if it is not. Before we explore these variables in any depth, let's find out how many Pokmon are legendary out of the 801 total, using the handy count() function from the dplyr package.
Acknowledgements
DataCamp
This page was built for dataset: Pokmon-Legendary-Data
