Gotta plot 'em all!
Welcome to the Pokémon Strength Analysis repository! This project dives deep into the statistical realm of Pokémon, exploring attack and special attack strengths across the first six generations. Whether you're a Pokémon enthusiast, data analyst, or both, this analysis provides valuable insights into the power dynamics of our beloved creatures. This project showcases Data Analysis methods with Jupyter Notebook to discover the strongest Pokémon in the first 6 generations through data visualizations!
| Stat | Acronym | Description |
|---|---|---|
| HP | HP | Hit Points - Represents a Pokémon's health |
| Attack | Atk | Physical Attack - Influences physical moves |
| Defense | Def | Physical Defense - Reduces damage from attacks |
| Sp. Atk | SpA | Special Attack - Influences special moves |
| Sp. Def | SpD | Special Defense - Reduces special move damage |
| Speed | Spe | Speed - Determines turn order in battles |
- Attack & Special Attack Analysis: Uncover the top attackers and special attackers across the initial six generations.
- Type Trends: Explore the prevalence of Pokémon Types in the upper echelons of strength.
- Generation Insights: Understand the dynamics of Pokémon strength evolution through detailed analyses of each generation.
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- GitHub: Nichols-Tech
- LinkedIn: MrNichols
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Please note that the data used in this project is non-intrusive and does not contain any sensitive information. It is intended solely for the purpose of demonstrating data science techniques and does not compromise the privacy or confidentiality of any individuals or entities.