Pokemon Gen 9 Stats by Kaggle | Media and Entertainment

About this Dataset

Pokemon Gen 9 Stats

Understanding the Impact of Each Stat on Pokemon Performance

About this dataset

This dataset analyzes the performance of Pokemon from the 8th generation, specifically from the new generation of Pokemon Scarlet and Violet. Within this data we delve deep into individual features of these pocket monsters and discuss the effects each one might have on actual battle performance. The base stats referred to in this dataset apply to HP (Hit Points), Attack, Defense, Special Attack, Special Defense and Speed. With this data we can gain a better understanding of why some Pokemon perform better than others in battle and what to look out for when making that last-minute team addition! This dataset offers great insights into game mechanics used by developers in order to create perfectly balanced battles between your favorite Pocket Monster friends. Each stat has its own unique importance - figure out which ones will make your team unbeatable!

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How to use the dataset

This dataset offers a great way to explore and analyze the base stats of Pokemon from Generation 9, specifically Pokemon Scarlet and Violet. With this data, both casual and avid fans can study the importance of each stat and its impact on Pokemon performance. In order to use this dataset effectively, here are a few steps to follow:

Familiarize yourself with all different stats that are included in the dataset, such as HP (Hit Points), Attack, Defense, Special Attack, Special Defense,. Speed and Total Stats.

Study and observe how different stats interact with each other in regards toPokemon performance by observing patterns between the various columns such asTotal Stat compared to Attack or HP compared to Speed.

Utilize specific rows of data (ex: bulbasaur) compare comparison between multiple columns in relation to this specific pokemon's performance. Examine whetherBulbasaur's Total stat is more affected by its attack stat or defense stat etcetera Thiswill help you collect insight into the relationship between a singular Pokemontheir corresponding base stats

Lastly if possible use additional external resources such as GameFAQs orbulbapedia can enhance your analysis by understanding specifics likepokemons type/elemental weaknesses which have significant effects onoverall game play when battling against an opposing pokemon5 Enjoy Even if you're not necessarily writing an essay or paper focused aroundgen 8 pokemon base stats these sheets offer an interesting way understandbase values from pokedex entries

Research Ideas

The dataset can be used to create a comparison report between different Pokemon types, in order to determine which type will typically perform better in battle.

This dataset can also be used to help study how game balance changes from generation to generation and across regions, as well as areas where balancing could be improved for future games.

Finally, the dataset can be used for competitive gaming practices; by studying this data, players can determine which stats and Pokemon best suit their particular style of play

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: gen_9.csv

Column name	Description
Pokémon	The name of the Pokémon. (String)
H	The Pokémon's Hit Points (HP). (Integer)
A	The Pokémon's Attack stat. (Integer)
B	The Pokémon's Defense stat. (Integer)
C	The Pokémon's Special Attack stat. (Integer)
Total	The Pokémon's total stat. (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Gen 9

@kaggle.thedevastator_unlocking_pokemon_performance_with_gen_9_base_st.gen_9

17.92 KB
422 rows
9 columns


CREATE TABLE gen_9 (
  "unnamed_0" BIGINT,
  "pok_mon" VARCHAR,
  "h" BIGINT,
  "a" BIGINT,
  "b" BIGINT,
  "c" BIGINT,
  "d" BIGINT,
  "s" BIGINT,
  "total" BIGINT
);