CodeClauseInternship_OmniCluster/datasets.json at main · vedant713/CodeClauseInternship_OmniCluster · GitHub

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{
    "Business & Finance": {
        "Mall Customers": "https://raw.githubusercontent.com/tirthajyoti/Machine-Learning-with-Python/master/Datasets/Mall_Customers.csv",
        "Online Retail II": "https://raw.githubusercontent.com/datlist/dataset/master/Online%20Retail.csv",
        "Black Friday Sales": "https://raw.githubusercontent.com/karthikbhandary2/Black-Friday-Sales-Prediction/master/train.csv",
        "Supermarket Sales": "https://raw.githubusercontent.com/datlist/dataset/master/supermarket_sales.csv",
        "Bitcoin Prices": "https://raw.githubusercontent.com/datasets/currency-codes/master/data/codes-all.csv",
        "Tesla Stock Price": "https://raw.githubusercontent.com/plotly/datasets/master/tesla-stock-price.csv",
        "Apple Stock Price": "https://raw.githubusercontent.com/plotly/datasets/master/apple_stock.csv",
        "Google Stock Price": "https://raw.githubusercontent.com/plotly/datasets/master/google_stock.csv",
        "Microsoft Stock Price": "https://raw.githubusercontent.com/plotly/datasets/master/msft_stock.csv",
        "Tips (Restaurant)": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv",
        "Marketing Campaign": "https://raw.githubusercontent.com/jennybc/gapminder/master/data-raw/gapminder.csv",
        "Bank Marketing": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/bank-marketing.csv",
        "Credit Card Fraud": "https://raw.githubusercontent.com/nsethi31/Kaggle-Data-Credit-Card-Fraud-Detection/master/creditcard.csv",
        "House Prices (Boston)": "https://raw.githubusercontent.com/selva86/datasets/master/BostonHousing.csv",
        "Advertising Budget": "https://raw.githubusercontent.com/justmarkham/scikit-learn-videos/master/data/Advertising.csv",
        "Telecom Churn": "https://raw.githubusercontent.com/treselle-systems/customer_churn_analysis/master/WA_Fn-UseC_-Telco-Customer-Churn.csv",
        "Insurance Sales": "https://raw.githubusercontent.com/stedy/Machine-Learning-with-R-datasets/master/insurance.csv",
        "Used Car Prices": "https://raw.githubusercontent.com/austinlasseter/plotly_dash_tutorial/master/00%20resources/used-cars.csv",
        "Walmart Sales": "https://raw.githubusercontent.com/plotly/datasets/master/walmart-stock.csv",
        "Uber Pickups": "https://raw.githubusercontent.com/fivethirtyeight/uber-tlc-foil-response/master/uber-trip-data/uber-raw-data-apr14.csv",
        "Flights (NYC)": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/flights.csv",
        "Air Passengers": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/airline-passengers.csv",
        "Big Mac Index": "https://raw.githubusercontent.com/TheEconomist/big-mac-data/master/source-data/big-mac-source-data.csv",
        "Economics (Longley)": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/longley.csv",
        "US Macroeconomics": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/USMacroG.csv",
        "Budget Food": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/Ecdat/BudgetFood.csv",
        "Ice Cream Consumption": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/Ecdat/Icecream.csv"
    },
    "Healthcare & Science": {
        "Iris Flowers": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv",
        "Heart Disease": "https://raw.githubusercontent.com/kb22/Heart-Disease-Prediction/master/dataset.csv",
        "Breast Cancer Wisconsin": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/breast_cancer.csv",
        "Diabetes": "https://raw.githubusercontent.com/plotly/datasets/master/diabetes.csv",
        "Wine Quality (Red)": "https://raw.githubusercontent.com/shubhamjha97/wine-quality/master/winequality-red.csv",
        "Wine Quality (White)": "https://raw.githubusercontent.com/shubhamjha97/wine-quality/master/winequality-white.csv",
        "COVID-19 Global": "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv",
        "Brain Networks": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/brain_networks.csv",
        "Attention": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/attention.csv",
        "Exercise": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/exercise.csv",
        "Penguins": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv",
        "Planets (Astronomy)": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/planets.csv",
        "Volcanoes": "https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv",
        "Earthquakes": "https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv",
        "Global Temperatures": "https://raw.githubusercontent.com/plotly/datasets/master/global_temperatures.csv",
        "Weather (AUS)": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/daily-min-temperatures.csv",
        "Pima Indians Diabetes": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv",
        "Sonar (Mines vs Rocks)": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/sonar.all-data.csv",
        "Wheat Seeds": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/wheat-seeds.csv",
        "Abalone": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/abalone.csv",
        "Lung Cancer": "https://raw.githubusercontent.com/mysilver/dataset/master/lung_cancer_examples.csv",
        "DNA Splice": "https://raw.githubusercontent.com/plotly/datasets/master/splice.csv",
        "Tooth Growth": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/ToothGrowth.csv",
        "Plant Growth": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/PlantGrowth.csv",
        "Sleep Patterns": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/sleep.csv",
        "CO2 Uptake": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/CO2.csv",
        "Formaldehyde": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/Formaldehyde.csv",
        "Orchard Sprays": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/OrchardSprays.csv",
        "Insect Sprays": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/InsectSprays.csv",
        "Chicken Weights": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/ChickWeight.csv",
        "Beaver Temperature": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/beaver1.csv"
    },
    "Sports & Games": {
        "FIFA 19 Players": "https://raw.githubusercontent.com/amanthedorkknight/fifa18-all-player-statistics/master/2019/data.csv",
        "NBA Players": "https://raw.githubusercontent.com/fivethirtyeight/data/master/nba-elo/nbaallelo.csv",
        "Pokemon Stats": "https://raw.githubusercontent.com/KeithGalli/pandas/master/pokemon_data.csv",
        "Netflix Movies": "https://raw.githubusercontent.com/kavita-ganesan/netflix-movies-and-tv-shows/master/netflix_titles.csv",
        "Video Game Sales": "https://raw.githubusercontent.com/GregorUT/vgchartzScrape/master/vgsales.csv",
        "Chess Games": "https://raw.githubusercontent.com/fivethirtyeight/data/master/chess-transfers/transfers.csv",
        "Soccer (EPL)": "https://raw.githubusercontent.com/fivethirtyeight/data/master/soccer-spi/spi_matches.csv",
        "NFL Stats": "https://raw.githubusercontent.com/fivethirtyeight/data/master/nfl-elo/nfl_elo.csv",
        "Tennis Matches": "https://raw.githubusercontent.com/fivethirtyeight/data/master/tennis-time/men_tennis_time.csv",
        "Comic Characters (Marvel)": "https://raw.githubusercontent.com/fivethirtyeight/data/master/comic-characters/marvel-wikia-data.csv",
        "Comic Characters (DC)": "https://raw.githubusercontent.com/fivethirtyeight/data/master/comic-characters/dc-wikia-data.csv",
        "Star Wars Survey": "https://raw.githubusercontent.com/fivethirtyeight/data/master/star-wars-survey/StarWars.csv",
        "Disney Movies": "https://raw.githubusercontent.com/fivethirtyeight/data/master/disney-movies/disney_movies_total_gross.csv",
        "Board Games": "https://raw.githubusercontent.com/fivethirtyeight/data/master/board-games/games.csv",
        "Avocado Prices": "https://raw.githubusercontent.com/fivethirtyeight/data/master/avocado/avocado.csv",
        "Cereal Ratings": "https://raw.githubusercontent.com/fivethirtyeight/data/master/candy-power-ranking/candy-data.csv",
        "UFC Fights": "https://raw.githubusercontent.com/plotly/datasets/master/ufc-master.csv",
        "Baseball (Salaries)": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/Lahman/Salaries.csv",
        "Baseball (Teams)": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/Lahman/Teams.csv",
        "Olympic Medals": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/healthexp.csv"
    },
    "Social & Demographics": {
        "Titanic Passengers": "https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv",
        "Car Crashes": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/car_crashes.csv",
        "MPG (Cars)": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/mpg.csv",
        "Diamonds": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv",
        "Taxis": "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/taxis.csv",
        "Happiness Index": "https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv",
        "US Cities Population": "https://raw.githubusercontent.com/plotly/datasets/master/us-cities-top-1k.csv",
        "World GDP": "https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv",
        "Gapminder": "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
        "Adult Census Income": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/adult-all.csv",
        "Homicides": "https://raw.githubusercontent.com/fivethirtyeight/data/master/homicide-data/homicide-data.csv",
        "Drug Use": "https://raw.githubusercontent.com/fivethirtyeight/data/master/drug-use-by-age/drug-use-by-age.csv",
        "Airline Safety": "https://raw.githubusercontent.com/fivethirtyeight/data/master/airline-safety/airline-safety.csv",
        "Alcohol Consumption": "https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv",
        "Bad Drivers": "https://raw.githubusercontent.com/fivethirtyeight/data/master/bad-drivers/bad-drivers.csv",
        "Births (US)": "https://raw.githubusercontent.com/fivethirtyeight/data/master/births/US_births_1994-2003_CDC_NCHS.csv",
        "College Majors": "https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/all-ages.csv",
        "Marriage Ages": "https://raw.githubusercontent.com/fivethirtyeight/data/master/marriage/men.csv",
        "Unemployment": "https://raw.githubusercontent.com/fivethirtyeight/data/master/unemployment-2020/unemployment_2020.csv",
        "US Voting (2012)": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HSAUR/voting.csv",
        "School Earnings": "https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv",
        "Women in Workforce": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/car/Womenlf.csv",
        "Working Hours": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/Ecdat/Workinghours.csv",
        "US Crimes": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/USArrests.csv"
    },
    "Technology & AI": {
        "MNIST (Digits)": "https://raw.githubusercontent.com/datapythonista/mnist/master/mnist_test.csv",
        "Fashion MNIST": "https://raw.githubusercontent.com/zalandoresearch/fashion-mnist/master/data/fashion/t10k-labels-idx1-ubyte.gz",
        "Spam vs Ham": "https://raw.githubusercontent.com/mohitgupta-omg/Kaggle-SMS-Spam-Collection-Dataset-/master/spam.csv",
        "News Aggregator": "https://raw.githubusercontent.com/shubhamjha97/news-aggregator-dataset/master/newsCorpora.csv",
        "Movie Reviews (IMDB)": "https://raw.githubusercontent.com/jbrownlee/Datasets/master/review_polarity/txt_sentoken/neg/cv000_29416.txt",
        "Github Repos": "https://raw.githubusercontent.com/fivethirtyeight/data/master/github-repos/github-repos.csv",
        "Car Road Tests (mtcars)": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/mtcars.csv",
        "Old Faithful Geyser": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/faithful.csv",
        "Morley Speed of Light": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/morley.csv",
        "Nuclear Reactor Data": "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/boot/nuclear.csv"
    }
}