ZekDex is a comprehensive R package that serves as a rich resource for Pokémon enthusiasts and data scientists alike. It offers a wide array of datasets about Pokémon, encompassing a multitude of aspects that make these creatures unique.
Key features of ZekDex include:
- National Dex Information: This provides a complete listing of Pokémon as per the National Dex, which is a catalogue of Pokémon species in the order they were discovered.
- Legendary and Mythical Pokémon Groupings: This categorizes Pokémon into their respective Legendary and Mythical groups, offering insights into their rarity and special attributes.
- Base Stats: This includes the fundamental statistics of each Pokémon, such as their attack power, defense, speed, and more per generation.
- Evolution and Family Information: This provides details about the evolutionary stages of Pokémon and their familial connections.
- Random Pokémon Generation: ZekDex also includes functions that allow users to generate random Pokémon, adding an element of surprise and discovery.
- And much more!
ZekDex is committed to providing up-to-date and accurate information about Pokémon. It draws its data from Bulbapedia, a community-driven Pokémon encyclopedia. As of the time of writing, ZekDex includes data for Pokémon generations I through IX.
One of the standout features of ZekDex is its ability to stay current. If the package's data ever falls behind, users have the capability to generate up-to-date information. This ensures that ZekDex remains a reliable and timely resource for Pokémon data.
Whether you're a researcher conducting a data analysis project, or a fan interested in the fascinating world of Pokémon, ZekDex is a valuable tool to have in your R library.
The datasets incorporated in this package are primarily stored in the .rda format, which is a binary format native to R.
This format is particularly beneficial for R users as it allows for efficient storage and quick data loading,
thereby enhancing the overall user experience with this package.
However, we understand that users might want to utilize this data outside the R environment.
To cater to this need, we also provide the data in the universally recognized .csv format.
These .csv files can be easily imported into various data analysis software and programming languages,
offering users the flexibility to work with the data in an environment of their choice.
You can locate these .csv files in the /data directory of the package.
This directory has been structured to ensure easy navigation and quick access to the required datasets.
In summary, whether you're working within the R ecosystem or venturing outside it, we've got you covered with our dual data format availability. Happy data exploring!
You can install the package from GitHub with:
# If devtools is not installed:
install.packages("devtools")
# Install the stable branch of the package ZekDex (recommended)
devtools::install_github("zekrom-vale/ZekDex", ref = "stable")
# Or, install the main branch of the package ZekDex (May be in an unusable state)
devtools::install_github("zekrom-vale/ZekDex", ref = "main")The package includes the following datasets:
The National PokeDex is a comprehensive database that records information on all Pokémon known to exist, instead of just ones native in a particular region. This dataset provides information about Pokémon as per the National Pokédex, which includes Pokémon from the Kanto region first, followed by those from Johto, Hoenn, Sinnoh, Unova, Kalos, Alola, Galar, Hisui, and Paldea.
This dataset contains information about Legendary and Mythical Pokémon, which are a special group of Pokémon that are incredibly rare and often very powerful. These Pokémon are categorized by their family groupings and sizes. Family groupings are often based on common themes or characteristics among the Pokémon.
For example, the 'Tao trio' refers to Reshiram, Zekrom, and Kyurem, which are associated with the concept of yin, yang, and wuji.
The 'Super-ancient Pokémon' refers to Kyogre, Groudon, and Rayquaza, which are ancient Pokémon with powerful weather abilities.
The 'Paradox duo' refers to Koraidon and Miraidon, which are associated with different timelines.
This dataset is a wide format version of the stats dataset. It contains the base stats of Pokémon, including various forms and sizes of Pokémon, across different generations. Base stats are an important defining characteristic of each Pokémon species. They determine the potential of each Pokémon in terms of their HP (Hit Points), Attack, Defense, Speed, and Special abilities. These stats can be influenced by other factors such as level, nature, and effort values.
This dataset contains the base stats of Pokémon, including various forms and sizes of Pokémon. Base stats are an important defining characteristic of each Pokémon species. They determine the potential of each Pokémon in terms of their HP (Hit Points), Attack, Defense, Speed, and Special abilities. These stats can be influenced by other factors such as level, nature, and effort values.
This dataset contains information about Pokémon evolution and family groupings. It provides a comprehensive view of the evolution tree of each Pokémon, making it an excellent resource for understanding how different Pokémon are related to each other and how they evolve. The dataset includes Pokémon from all generations and covers various forms and regional variants.
This dataset contains detailed information about Pokémon evolution and family groupings. It provides a comprehensive view of the evolution tree of each Pokémon, making it an excellent resource for understanding how different Pokémon are related to each other and how they evolve. The dataset includes Pokémon from all generations and covers various forms and regional variants.
While this dataset loses the hierarchical structure of the evolution tree, it is particularly useful for identifying which Pokémon belong to each family. It provides a flat structure that can be easily filtered and sorted to find specific Pokémon and their families.
Note: The family.x and family.y variables need to be reconciled to ensure consistency across the dataset.
This dataset contains the names of Pokémon in various languages.
Each Pokémon has a unique name in each language, and these names often reflect the culture and
language patterns of their respective regions. The dataset includes names in multiple languages,
including but not limited to English, Japanese, German, French, Spanish, Italian, Korean, Chinese,
Brazilian Portuguese, Turkish, Russian, Thai, and Hindi. The language columns are in the format of
<Language>_<language subset>. If there is no subset, it's <Language>.
This dataset contains information about Pokémon as per the Regional Pokédex.
The regionalDex columns are in the format of <Game>_<Region>_<DexName>.
If the data is missing, it is represented as NA.
This dataset contains information about various Pokemon types.
This dataset provides a matrix of effectiveness multipliers for different types of Pokémon attacks. Each Pokémon has a type, such as Fire, Water, Grass, etc., and each type has different effectiveness against other types. This effectiveness is represented by a multiplier that is applied to the attack's damage.
The dataset is structured as a wide format, with each column representing a defending Pokémon's type and each row representing an attacking Pokémon's type.
This dataset provides detailed effectiveness values for attacks between different Pokémon types.
It is structured in a long format, with each row representing an interaction between an attacking type and a defending type. The 'Effectiveness' column provides the multiplier for the effectiveness of the attack.
This dataset contains information about the weight of various Pokémon. Each Pokémon's weight is recorded in both pounds (lbs) and kilograms (kg), providing flexibility for different uses. The dataset also includes details about the lightest and heaviest Pokémon, their regional forms, and whether they have a Mega or Primal form. This can be useful for a variety of analyses, such as studying the distribution of Pokémon weights, identifying trends and patterns, or informing game strategies.
This dataset contains information about the height of different Pokémon forms. The height is represented in different units such as feet (ft), meters (m), and inches (inch), providing flexibility for different uses. It also includes the ranking of each Pokémon form from smallest to biggest, and information about regional forms and Mega or Primal forms. This can be useful for a variety of analyses, such as studying the distribution of Pokémon heights, identifying trends and patterns, or informing game strategies.
This dataset provides a comprehensive overview of the physical attributes of Pokémon, including their type, generation, weight, height, and other characteristics. It includes information about each Pokémon's National Pokédex number, name, regional variant, primary and secondary types, generation, legendary status, mythical status, ultra beast status, family, size, form, weight in pounds and kilograms, lightest and heaviest weight rankings in the Pokédex, Mega or Primal form status, height in feet, meters, and inches, and smallest and biggest height rankings in the Pokédex.
This dataset can be useful for a variety of analyses, such as studying the distribution of Pokémon weights and heights, identifying trends and patterns, or informing game strategies.
This dataset provides information about the catch rate of each Pokémon. The catch rate is a statistic that determines the probability of capturing a Pokémon. A higher catch rate means that the Pokémon is easier to catch.
In the context of Pokémon Legends: Arceus, many Pokémon were given heightened catch rates to facilitate catching them outside of battle.
This dataset contains information about Pokémon that can undergo Mega Evolution and Primal Reversion, which are special forms of evolution that Pokémon can undergo during battle to become more powerful. These Pokémon are categorized by their National Pokédex number, name, type before and after evolution, ability before and after evolution, and the stone required for the evolution.
For example, ‘Rayquaza’ is a Dragon/Flying type Pokémon with the ability ‘Air Lock’ that can undergo Mega Evolution to remain a Dragon/Flying type but with the ability ‘Delta Stream’. Unlike other Pokémon, Rayquaza does not require a Mega Stone to undergo Mega Evolution. Instead, Rayquaza must swallow the Meteorite and learn Dragon Ascent during the Delta Episode or must be taught Dragon Ascent via move tutor.
The 'Primal Reversion' refers to Kyogre and Groudon, which are ancient Pokémon that revert to their primal forms with the Blue Orb and Red Orb respectively, changing their abilities to 'Primordial Sea' and 'Desolate Land'.
Note that there exist Primal Dialga, hovever this appears to be different from Primal Reversion.
You can load any dataset with the data() function. For example, data(nationalDex).
The package provides the following functions:
-
randomPokemon(): Returns a random Pokémon. This function takes the following parameters:n(integer): How many Pokémon to return.p(character): What column to return (ndex, name, form, regional, type, type2 can be used).replace(logical): Should sampling be with replacement?
-
randomPokemonGen(): Returns a random Pokémon generator. This function takes the following parameters:p(character): What column to return (ndex, name, form, regional, type, type2 can be used).replace(logical): Should sampling be with replacement?size(integer): The number of random Pokémon to generate on each call.
-
gen_*(): Regenerates parts of the datasetwrite(logical): Should it write the data to a file? (Recomended to save the output as this takes time)root(character): Where to look for files and write themfile(character): Where to save the data without extention ifwrite == TRUEfile*(character): Same as file but for other datasets generated- NOTE: These functions scrape Bulbapedia, do not call them more then once. Save the data to file and use it, updating only when required.
This package is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0). This license allows for redistribution and adaptation of the work under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial: You may not use the material for commercial purposes.
- ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
This license is designed to protect the rights of the creators while also promoting openness and collaboration. It ensures that the package can be freely used and adapted, as long as appropriate credit is given and the work is not used for commercial purposes. Furthermore, any adaptations of the work must be shared under the same license, promoting the creation of derivative works that are also freely available.
For more details about the CC BY-NC-SA 4.0 license, you can visit the official webpage.
Additionally, you can refer to the LICENSE file included with the package. This file contains the full text of the license, providing a detailed description of the rights and restrictions associated with the use of the package.
Please ensure that you understand and comply with the terms of the license when using this package. If you have any questions about the license, it's recommended to consult with a legal expert.
Data used in this project is sourced from Bulbagarden.
The data has been extracted using rvest, cleaned, and reformatted to be easily readable and usable in R and other applications.
As well as used in R functions as described in the man documentation or by using the help ? in R.
Note that errors may occur in cleaning/reformating and should be reported as an issue on GitHub.
The data is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5).
We would like to express our gratitude to the contributors of Bulbagarden for collecting and maintaining the Pokémon data that we use in this project.
Under no circumstance should anyone use rvest to attack or slowdown the site. All gen_*() functions are intended to be used only for when major updates occur on Bulbagarden.
Please note that this project is not affiliated with, endorsed by, or directly associated with Bulbagarden or the official Pokémon franchise.