Data Science Dojo has added 32 data sets to its repository, which is freely available for data science and AI enthusiasts. The repository carries a diverse range of themes, difficulty levels, sizes, and attributes. The data sets are categorized according to various difficulty levels to be suitable for everyone. They offer the ability to challenge one’s knowledge and get hands-on practice to boost their skills in areas, including but not limited to exploratory data analysis, data visualization, data wrangling, and machine learning.
The data sets below have been sorted with increasing difficulty for convenience (Beginner, Intermediate, Advanced). We recommend you test yourself with all the distinct data sets we’ve provided. We’ve presented a challenging question with each one.
Level: Beginner
Recommended Use: Classification/Clustering
Domain: Education/Web
Link to Dataset
This data set has 403 rows and 6 columns. It is a real data set about the students’ knowledge status about Electrical DC Machines’ subject.
Level: Beginner
Recommended Use: Regression Models
Domain: Real Estate
Link to Dataset
With 414 rows and 7 columns related to various attributes of a house, this data set provides the market historical data of real estate valuations collected from Sindian Dist., New Taipei City, Taiwan.
Level: Beginner
Recommended Use: Classification Models
Domain: Mobile/Location
Link to Dataset
This beginner-level data set has 2,000 rows and 8 columns. The data contains wifi signal strength observed from 7 wifi devices on a smartphone collected in indoor space, which could estimate the location in one of the four rooms.
Level: Beginner
Recommended Use: Classification Models
Domain: Automobile
Link to Dataset
The data set has 1,728 rows and 7 columns in which car attributes, such as price and technology, are described across 6 variables such as “Buying Price,” “Maintenance,” and “Safety,” etc. There are multiple alternatives under each of the 6 variables. Car’s acceptability, the seventh attribute, is the outcome variable.
Level: Beginner
Recommended Use: Regression/Classification Models
Domain: Healthcare/Life
Link to Dataset
This data set has 10 attributes. It includes semen samples of 100 volunteers, analyzed according to the WHO 2010 criteria. It can be used to determine if it’s possible to reach a diagnosis without a laboratory approach, which includes expensive tests that are sometimes uncomfortable for the patients. Attributes presented in this data set can be taken easily using a questionnaire to estimate sperm concentration.
Level: Beginner
Recommended Use: Classification Models
Domain: Finance/Banking
Link to Dataset
This data set has 250 rows and 7 columns. It contains 6 qualitative parameters from experts that can be used to predict bankruptcy.
Level: Intermediate
Recommended Use: Regression Models
Domain: Automobiles
Link to Dataset
This data set has 398 rows, 9 columns, mileage, horsepower, model year, and other technical specifications for cars.
Level: Intermediate
Recommended Use: Classification Models
Domain: Health Sciences
Link to Dataset
This data set provides health examination data among 303 patients who presented with chest pain and might have been suffering from heart disease. The data set has 14 attributes to find whether the diagnosed patient was found to have heart disease or not.
Level: Intermediate
Recommended Use: Regression Models
Domain: Business
Link to Dataset
This intermediate-level data set has 60 rows and 13 columns. The data was collected for 60 days and is from an actual database in a Brazilian logistics company. It has twelve predictive attributes and a target that is the total orders for daily treatment.
Level: Intermediate
Recommended Use: Classification Models
Domain: Business
Link to Dataset
This data set has 748 instances and 5 attributes. The data is from a donor database, Blood Transfusion Service Center in Hsin-Chu City, in Taiwan. The center drives their blood transfusion service bus to a university in Hsin-Chu City to gather blood donated every three months.
Level: Intermediate
Recommended Use: Regression Models
Domain: Environment
Link to Dataset
This data set has 43,824 rows and 13 columns. It contains the PM2.5 data from the US Embassy in Beijing. Meteorological data from Beijing Capital International Airport is also included. The data set can be used for pollution level forecasting using the Air Quality attributes provided. It will also offer experience in Multivariate Time Series Forecasting.
Level: Intermediate
Recommended Use: Classification Models
Domain: Automobiles
Link to Dataset
This data set has 132 rows and 12 columns. It provides data that can be used for classifying if patients will survive for at least one year after a heart attack. All patients listed in the data set suffered heart attacks at some point in the past. Some are still alive, and some are not.
Level: Intermediate
Recommended Use: Regression Models
Domain: Civil Engineering/Construction
Link to Dataset
This set has 1,030 rows and 9 columns. Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. The actual concrete compressive strength (MPa) for a given mixture under a specific period (days) was determined from a laboratory.
Level: Intermediate
Recommended Use: Classification/Regression/Clustering Models
Domain: Healthcare
Link to Dataset
This data set has 345 rows and 7 columns. The data set does not contain any variable representing the presence or absence of a liver disorder. The first five columns represent various blood tests that may be of use in diagnosing alcohol-related liver disorders. The sixth represents the number of alcoholic drinks consumed per day by the subject (self-reported).
Level: Intermediate
Recommended Use: Clustering/Regression/Classification Models
Domain: Business/Finance
Link to Dataset
This data set has 750 rows and 16 columns. It contains weekly data for the Dow Jones Industrial Index, used in computational investing research. Each record is data for a week and has the percentage of return that stock has in the following week. Ideally, this could be used to determine which store will produce the most significant return rate in the next week.
Level: Intermediate
Recommended Use: Regression/Classification Models
Domain: Energy
Link to Dataset
This data set has 768 rows and 10 columns. It can be used for assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters. The buildings differ concerning the glazing area, the glazing area distribution, and the orientation, amongst other parameters.
Level: Intermediate
Recommended Use: Classification Models
Domain: Physical
Link to Dataset
This data set has 214 rows and 10 columns. It provides details about 6 types of glass, defined in terms of their oxide content (i.e., Na, Fe, K, etc.).
Level: Intermediate
Recommended Use: Classification Models
Domain: Healthcare
Link to Dataset
This data set has 155 rows, 20 columns, and various attributes of a patient with hepatitis. This can be used to predict the patient’s chance of survival or for other purposes.
Level: Intermediate
Recommended Use: Classification/Clustering
Domain: Business/Retail
Link to Dataset
This data set has 440 rows and 8 columns. The data refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories.
Level: Intermediate
Recommended Use: Clustering/Classification Models
Domain: Web
Link to Dataset
This data set, populated by crawling TripAdvisor.com, has 980 rows and 11 columns. It includes reviews on destinations in 10 categories mentioned across East Asia. Each traveler rating is mapped as Excellent(4), Very Good(3), Average(2), Poor(1), and Terrible(0), and an average rating is used against each category per user.
Level: Intermediate
Recommended Use: Regression/Classification Models
Domain: Business/Finance
Link to Dataset
This data set has 536 rows and 9 columns. It includes the Istanbul Stock Exchange (ISE) returns with seven other international indices; SP, DAX, FTSE, NIKKEI, BOVESPA, MSCE_EU, MSCI_EM. It can be used to find a predictive relationship between the ISE100 and other international stock market indices.
Level: Intermediate
Recommended Use: Regression Models
Domain: Social
Link to Dataset
This data set, consisting of 17,379 rows and 17 columns, contains the hourly and daily count of rental bikes between 2011 and 2012 in the Capital bike-share system with the corresponding weather and seasonal information. The bike-sharing rental process is highly correlated to the environmental and seasonal settings.
Level: Intermediate
Recommended Use: Classification Models
Domain: Energy/Buildings
Link to Dataset
This data set has 20,560 rows and 7 attributes. It provides experimental data for binary classification (room occupancy of an office room) from Temperature, Humidity, Light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
Level: Intermediate
Recommended Use: Classification Models
Domain: Social/Government
Link to Dataset
This data set was extracted from the census bureau database. There are 48,842 instances of data set. It has 15 attributes, including age, sex, education level, and other relevant details of a person.
Level: Intermediate
Recommended Use: Classification Models
Domain: Health Sciences
Link to Dataset
The recent outbreak of the novel coronavirus has caused great concern all around the world. It has affected more around tens of thousands of people, mostly in China.
The outbreak, originating in the Chinese city of Wuhan and has been declared a global emergency by the World Health Organization (WHO).
This data set consisted of 4 files and was collected through various sources.
The first file, 2019ncovdata.csv, contains daily level information on the number of 2019-nCoV affected cases worldwide. The files contain time-series data of confirmed cases, deaths, and recovered cases, respectively.
This data set has been sourced from Kaggle and Johns Hopkins University.
This dataset is provided to the public strictly for educational and academic research purposes.
Level: Advanced
Recommended Use: Classification Models
Domain: Healthcare/Social Sciences
Link to Dataset
This advanced-level data set has Autistic Spectrum Disorder (ASD) Screening Test Data for 704 adults and has 21 attributes, including test takers’ demographics. It also has 10 questions that test-takers answered in screening tests. The status of a test taker on ASD is determined and recorded under the Class/ASD variable.
Level: Advanced
Recommended Use: Classification Models
Domain: Business/Finance
Link to Dataset
This data set has 30,000 rows and 24 columns. The data set could be used to estimate the probability of default payment by credit card clients using the data provided.
Level: Advanced
Recommended Use: Classification Models
Domain: Banking/Finance
Link to Dataset
This advanced-level data set has 1,372 rows and 5 columns. Data were extracted from images of genuine and forged banknote-like specimens taken to evaluate an authentication procedure for banknotes, later digitized. Wavelet Transform tool was used to extract features from images.
Level: Advanced
Recommended Use: Regression/Clustering Models
Domain: Electricity
Link to Dataset
This data set has 2,075,259 rows and 9 columns. This data set provides measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.
Level: Advanced
Recommended Use: Regression/Classification Models
Domain: Business/Web
Link to Dataset
This data set has 39,644 rows and 61 columns. It summarizes a heterogeneous group of features about articles published by Mashable in a period of 2 years and can be used to predict the number of shares of an article in social networks.
Level: Advanced
Recommended Use: Text Analytics
Domain: e-commerce
Link to Dataset
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 — July 2014.
This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).
This dataset is probably preferable for sentiment analysis type tasks.
Data Science Dojo is the number one teaching out there. They teach you to right skills to get a job in data science.
Check out Data Science Dojo’s online data science Bootcamp!