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Pokémon Battle Stat Prediction Data
Data Science and Analytics
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About
Analyse and predict the combat power of various Pokémon based on their core attributes. This data product is specifically structured for regression modelling and Exploratory Data Analysis (EDA), serving as an ideal resource for practicing data cleaning methodologies. The dataset intentionally includes null values and outliers to accurately mimic challenges encountered in real-world data preparation scenarios.
Columns
The dataset contains 12 attributes essential for analysis and prediction:
- Name: The identifying name of the Pokémon (151 unique string values).
- Type 1: The primary elemental type (e.g., Water, Grass, Fire).
- Type 2: The secondary elemental type, if applicable. Note that 56% of entries are missing this value.
- Total: The overall measure of a Pokémon's combat power (CP).
- HP: Hit Points, representing health (minimum 10, maximum 250, mean 64.2).
- Attack: Physical attack power (minimum 5, maximum 134, mean 72.5).
- Defense: Physical defensive power (minimum 5, maximum 180, mean 68.2).
- Sp. Atk: Special Attack power (minimum 15, maximum 154, mean 67.1).
- Sp. Def: Special Defense power (minimum 20, maximum 125, mean 66).
- Speed: The speed attribute (minimum 15, maximum 150, mean 69).
- Generation: The generation the Pokémon belongs to (currently focused entirely on Generation 1).
- Legendary: A boolean indicator specifying if the Pokémon is a legendary creature (5 true entries, 146 false entries).
Distribution
The data is provided in a CSV file, named
pokemon.csv, and has a file size of 7.66 kB. It is structured with 12 distinct columns and includes 151 records available for analysis.Usage
This data is perfectly suited for several analytical tasks, including:
- Developing and training regression models, such as Linear Regression, to predict Total Combat Power.
- Conducting in-depth Exploratory Data Analysis (EDA) on monster attributes.
- Practicing techniques for identifying and handling null values and outliers in preparation for predictive modelling.
- Studying the statistical distribution of attributes across different combat metrics.
Coverage
The scope of the data primarily covers Pokémon from Generation 1, as all 151 records are tagged under this generation. It includes statistics and attributes relevant to combat simulation across various types and classifications (Legendary/Non-Legendary).
License
CC BY-SA 4.0
Who Can Use It
This product is highly valuable for:
- Data Science Learners: Individuals focusing on foundational machine learning, specifically regression.
- Data Analysts: Professionals looking for real-world scenarios requiring robust data cleaning and preprocessing before analysis.
- Gaming Researchers: Anyone interested in the balance and statistical attributes governing monster combat systems.
Dataset Name Suggestions
- Pokémon Battle Stat Prediction Data
- Generation 1 Combat Power Dataset
- Pokémon Regression and Cleaning Exercise
Attributes
Original Data Source: Pokémon Battle Stat Prediction Data
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