Explore and download sample datasets hand-picked by MDS Training team. Practice applying your data analysis and visualization skills to real-world data, from restaurant ratings and remote working survey to Airbnb listings & reviews.
Practice applying your data analysis and visualization skills to real-world data.
Telecom Customer Churn
Churn data for a fictional Telecommunications company that provides phone and internet services to 7,043 customers in California, and includes details about customer demographics, location, services, and current status.
Remote Working Survey
Survey results of 1,500 remote workers from the Australian state of New South Wales, taken in August-September 2020 and March-April 2021, which aimed to capture the shift in remote work experiences and attitudes during different stages of the COVID-19 pandemic and gain insights on its long term implications.
S&P 500 Stock Prices
Historical stock market data for current S&P 500 companies, from 2014-2017. Each record represents a single day of trading, and includes the ticker name, volume, high, low, open and close prices.
Airbnb Listings & Reviews
Airbnb data for 250,000+ listings in 10 major cities, including information about hosts, pricing, location, and room type, along with over 5 million historical reviews. NOTE: Prices are in local currency
Restaurant ratings in Mexico by real consumers from 2012, including additional information about each restaurant and their cuisines, and each consumer and their preferences.
NYC Taxi Trips
Trip records from all green taxis in NYC in from 2017 to 2020. Records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.
Table containing 80,000+ records of UFO sightings between 1949 and 2014, including city, state, country, lat/long, shape, duration, date/time, and comments.
New Year’s Eve Resolutions
2015 New Year’s Eve resolutions tweets. Each record represents a single tweet and contains information about the date & time, geographic location, original text, and resolution category of the tweet.