Changed From Previous Version

• Added Original Game Pokemon's Status Data.
• Added Capture_Rate, Flee_Rate, Movement_Type Data.
• Deleted Some Columns.

Preface

Hello. My name is Takamasa Kato, From Japan.
I have just joined Kaggle, and studying Data-Science, Machine-Learning, trying competition at Kaggle.
I like playing game, especially like Pokemon, So Now I challenge Machine-Learning using Pokemon data.
As part of my study, make a Pokemon stats dataset. this dataset includes latest generations Pokemon. If you need Pokemon data, or searching latest data, please feel free to use. Last, I'm very Sorry for my bad English. If you find any problems or mistakes, please point them out.

Overview

• This dataset has already released Pokemons' data in Pokemon Go.

Describe

• No
  ・Each Pokemon has a number of Pokedex. It's listed in this column.
  ・Some Pokemon has multiple appearances, status, evolution or generation. In these cases, listed same numbers.
• Name_En
  ・Name for each Pokemon.
• Type1
  ・Each Pokemon has a type. The type is listed in this column.
• Type2
  ・Some Pokemon has two types(dual type). If the Pokemon is dual type, the second type is listed in this column.
• Weather_Boost1
• Weather_Boost2
• Origin_Base_xx
  ・Status for each Pokemon that not Pokemon Go, but Original Pokemon Game's.
  ・It has 6 Base Status (HP, Attack, Defense, Special Attack(SP_Attack), Special Defense(SP_Defense), Speed).
• ATK (Attack)
  ・One of Pokemon's status. It determines how much damage the Pokemon deals when using a Move.
• DEF (Defense)
  ・One of Pokemon's status. It determines how much damage the Pokemon receives when it's hit with a Move.
• HP (Hit Point)
  ・One of Pokemon's status. It determines how much damage a Pokemon can receive before fainting.
• Max_LV40(LV50)_CP
  ・It is the maximum allowable CP(Combat Point) at LV40(LV50) if the Pokemon has highest individual values.

PokemonGo

## Overview

PokemonGo is a dataset for object detection tasks - it contains Pokemon annotations for 49 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Context

Pokemon has been around for the majority of my life. I obsessed over it as a child and enjoy seeing the success it carries still today. I figure that I can give the Pokemon Company a nod by applying my passion for data science to their datasets.

Content

This is compiled data from two websites that I will acknowledge soon. As for the data, the primary variables are id, name, attack, defense, health, and cp. Other variables include tankiness, potentialdamage, basicdps, attackbasicdps (damage per second with strongest basic attack*attack), chargedps, oneshotpotential (damage per second with strongest charge attack*attack), and various rankings in each category as well as growth rates for each ranking (this variable only makes sense when sorted by each variable's ranking).

Acknowledgements

I have to pay tribute to two websites:

serebii.net and pokemongodb.net // these two pages allowed me to find the data that helped best explore the Pokemon Go universe. Thank you very much.

Inspiration

The data makes it pretty clear what plays into a Pokemon's CP. But, I am curious to know what hidden gems you might find when going through this data. For example, is Dragonite really the powerhouse we think it is?

Context

Hey everyone! So, while it may surprise some of you, Pokemon Go is alive and well, and actually has a very decent platform for PVP battles. While there are many great sources to learn about the various Pokemon's viability, they are usually spread out across different websites, which makes the lives of the few people who actually want to do statistical analysis about the game's most exciting feature hard. Well, this ends now!

Content

This data represents the ~600 or so best-scored pokemon according to Pvpoke.com, in relation to the Great League, the most popular league and the easiest one to get into. Beyond the data provided by the wonderful Pvpoke website, I added additional (and very crucial ) data about each mon's recommened moveset stats and typings (credits below)

Acknowledgements

HUGE thank you to the site Pvpoke.com for its comprehensive and exhaustive pvp rankings. If you actually play this game and want to get into PVP, you should definitely check them out. Raw moveset data was extracted from Gamepress.gg Charge moves and Fast moves stats, however I had to manually change the formatting and add some missing moves that were added to the game but did not appear on the site the last time this data was updated.

Inspiration

Honestly, I didn't do much besides scraping together some useful data to be more easily accessible, however I do hope you find it useful!