Dataset

This dataset was created by Alireza Ahmadihesar

Released under CC0: Public Domain

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This project focuses on exploring and analyzing the most popular datasets available on Kaggle. By delving into these datasets, we aim to identify key trends, understand user preferences, and highlight the topics that drive engagement within the data science and machine learning communities

Also there are interesting charts and analytics in the attached notebook

Dataset

This dataset was created by valerie lucro

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Dataset

This dataset was created by v1nor1

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Dataset

This dataset was created by Masab001

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Dataset

This dataset was created by Abbad Alam

Released under Apache 2.0

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Dataset

This dataset was created by M Shaheena

Released under Apache 2.0

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Dataset

This dataset was created by Zheung Yik2024

Released under Apache 2.0

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Dataset

This dataset was created by Mohammad Mehdi

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This Data has been fetched from the LinkedIn API.

The 'post.csv' file provides all the details about a post made on LinkedIn by a certain user, *All details in file.

The 'comments.csv' file describes all the information about comments on the post and other details.

This is my first time making a dataset, so please ignore any discrepancies and please suggest on how I can improve on it.

Thanks, and happy kaggling.

This dataset aims at solving the problem: How do we efficiently automate API testing without the need for constant maintaining of changed inputs and outputs?

Consider the following:

1. We have an authentication endpoint we need to validate.
2. Your APIs have a tendency to add / remove fields often OR you create new endpoints often.
3. We don't have much time for maintaining failed API tests due to changes in APIs.

The example data from '**API Tensor**'.

A matrix is built containing all possible inputs. Using said inputs, we output whether or not the API was fulfilled.

This dataset provides a curated collection of freely available APIs covering a wide range of categories. Whether you are a developer, data enthusiast, or just someone interested in exploring various API services, this dataset offers a valuable resource to help you discover, access, and understand these APIs.

Each entry in the dataset includes essential information about the APIs, such as the API name, a brief description of its functionality, authentication requirements, HTTPS support, and a link to the API's documentation or endpoint. The dataset is categorized to facilitate easy exploration and access to APIs across different domains.

Example entries:

"AdoptAPet": A resource to help get pets adopted, requiring an API key for access. "Axolotl": A collection of axolotl pictures and facts, with HTTPS support and no authentication required. "Cat Facts": Providing daily cat facts, with HTTPS support and no authentication needed.

Columns: API: This column provides the name or title of the API

Description: In this column, you'll find a brief description of the API's functionality and what it offers.

Auth (Authentication): This column indicates whether the API requires authentication for access. If it specifies "apiKey" or any other form of authentication, users need to provide valid credentials or keys to utilize the API.

HTTPS: This column indicates whether the API supports secure communication over HTTPS

Link: This column provides a URL or link to the API's documentation

Category: The "Category" column categorizes the API into a relevant domain or topic.

MyAnimeList API Download

This is the dataset that I created as part of the Google Data Analytics Professional Certificate capstone project. The MyAnimeList website has a vast repository of ratings and rankings of viewership data that could be used for various methods. I extracted several datasets from the detail API from MyAnimeList (MAL) https://myanimelist.net/apiconfig/references/api/v2 and plan to potentially update data every two weeks.

Many possible uses for this data could be tracking what anime viewers are watching most within a particular time period, what's being scored (out of 10) well and what isn't.

My viz for this data will be part of a tableau dashboard located here. This dashboard allows fans to explore the dataset and locate top scored or popular titles by genre, time period, and demographic (although this field isn't always entered)

Documentation

The extraction and cleaning process is outlined on github here.

Frequency of Updates

I plan on updating this potentially every 2 weeks, this depends on my availability and the interest in this dataset.

Caveats

Extracting and loading this data involved some transformations that should be noted:

• This data only includes titles that correspond with the "tv" ranking category. This was in an effort to streamline extraction and fine tune the analysis. If you would like to see other categories you are welcome to suggest it as an enhancement or use the code create your own dataset. As a result of subsetting on "tv", the dataset excludes the following ranking categories:
  1. All
  2. airing
  3. upcoming
  4. ova
  5. movie
  6. special
  7. bypopularity
  8. favorite
• Adult content - This extract excludes all adult content (r+).
• Note: The previous two points are valid for all tables with the exception of the rank_table. This is the table that was used as a starting point to obtain all MAL ids that were associated with "tv". Because this is a fast download, all categories are included in this table.
• The creation of the alternative_title field in the anime_table. This uses the english version of the name unless it is null, if the value is null, it uses the default name. This was in an effort to make the title accessible to english speakers. The original title field can be used if desired.
• The extraction of the demographic information from the genres field. MyAnimeList includes demographic information (shounen, seinen etc.) in the genres field. I've extracted it so that it could be used as its own field. However, many of those fields are null making it somewhat difficult to use.
• Cleaning processes of data. Various methods of cleaning data have been carried out and are noted on github.
• start_season.year - this field in the anime_table has been modified for null values. If there are null values, the first four characters from the start_date have been used. I will continue to use this method as long as it is viable.

Table Structure

The primary keys in all of the tables (with the exclusion of the tm_ky table) are foreign keys to other tables. As a result, the tables have 2 or more primary keys.

1. anime_demo_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
demo_id	int

1. anime_genres_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
genres_id	int	PK

1. anime_ranking_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
mean	dbl
rank	int
popularity	int
num_scoring_users	int
statistics.watching	int
statistics.completed	int
statistics.on_hold	int
statistics.dropped	int
statistics.plan_to_watch	int
statistics.num_scoring_users	int

1. anime_studios_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
studio_id	int	PK

1. anime_syn_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
synonyms	chr

1. anime_table

Field	Type	Primary Key
tm_ky	int	PK
mal_id	int	PK
title	chr
main_picture.medium	chr
main_picture.large	chr
alternative_titles.en	chr
alternative_titles.ja	chr
start_date	chr
end_date	chr
synopsis	chr
media_type	chr
status	chr
num_episodes	int
start_season.year	int
start_season.season	chr
rating	chr
nsfw	chr
demo_de	chr ...

Dataset

This dataset was created by Marcos Faria

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Dataset

This dataset was created by Kunal Kumar Sahoo

Released under CC0: Public Domain

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Dataset

This dataset was created by harikrishnan2255

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Dataset

This dataset was created by Petr Batuev

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Furrific Animal APIs 🐕🐕

Embark on an API safari through the kingdom of animals! 🐱🐶 Discover a collection of captivating APIs, from AdoptAPet's adoption assistance to Cat Facts and Axolotl visuals. 🦄🦔 Whether you're an API aficionado or wildlife enthusiast, this dataset offers a gateway to furry, finned, and feathered insights. 🌍🐾 Unearth a trove of data-driven animal wonders and embark on an exploration like no other! 🌟📈

Dataset

This dataset was created by CIturrieta

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This dataset contains a snapshot of the official Kaggle datasets leaderboard (taken between October 21st and October 24th 2024). For every user, the dataframe contains all their datasets with information sourced through the Kaggle API. Currently, the dataset only contains the top 250, but I have a larger snapshot of the leaderboard. I aim to expand the dataset to include the top 1000 dataset contributors.