Top Datasets for visualization projects

1. Iris Flower Classification – The Iris Flower dataset is a well-known example in the realm of machine learning that is utilized for classification purposes. It contains measurements of iris flowers belonging to three distinct species: setosa, versicolor, and virginica. Each entry includes the sizes of the petals and sepals. This dataset is frequently employed to illustrate different classification techniques because of its straightforward nature and ability to highlight the fundamentals of machine learning classification.

Iris DataSet

2. COVID 19 Datasets – COVID-19 datasets contain a variety of information about the coronavirus pandemic, such as epidemiological data, case numbers, testing rates, mortality rates, vaccination data, and more. These datasets are important for researchers, policymakers, and the public to grasp how the virus is spreading and affecting people, evaluate strategies to stop it and monitor how well vaccination efforts are working. Using this data helps make decisions based on facts to fight the pandemic.

COVID-19 Datasets

3. House Prediction – House prediction datasets provide valuable information about real estate properties, like the number of bedrooms, bathrooms, square footage, location, and sale prices. This data is used in predictive analytics and machine learning to create models that can estimate house prices based on specific attributes. These models are beneficial for real estate professionals, buyers, and sellers in making well-informed decisions regarding pricing, investments, and market trends.

House Prediction

4. Fraud Detection – Fraud detection datasets contain transactional data from different sources like banking, e-commerce, and healthcare. They come with labels showing whether the activity is fraudulent or not. These datasets help create machine-learning models that can spot suspicious transactions and identify fraud. Having reliable fraud detection systems is vital for businesses and financial institutions to manage risks and prevent financial losses.

Fraud Detection

5. Amazon Sales Datasets – The Amazon sales datasets contain data on products sold on their platform, such as categories, prices, reviews, ratings, and sales. By studying these datasets, we can gain valuable insights into consumer habits, market trends, popular products, and sales trends on Amazon. This information can help businesses improve their marketing tactics, manage inventory more effectively, and offer the right products to boost sales and customer satisfaction.

Amazon Sales Datasets

6. Finance Datasets – Finance datasets are collections of monetary records that may be both real-world or artificially generated. These datasets are precious for various packages, such as system learning. Some tremendous finance datasets include those available on Kaggle.

Finance Datasets

7. Young People Survey Datasest– A dataset from a Young People Survey contains responses from a diverse group of young individuals on various aspects of their lives, including demographics, education, technology use, social issues, personal interests, and mental and physical health.

Young People Survey Dataset

8. E-Learning Student Reactions: The E-Learning Student Reactions dataset captures feedback from students regarding their experiences with e-learning platforms and courses. This dataset includes students’ ratings, comments, and other reactions to different aspects of e-learning.

E-Learning Student Reactions

9. Titanic: The Titanic dataset contains information on the passengers aboard the RMS Titanic, which sank in 1912. It includes details like age, gender, class, and survival status. This dataset is often used in classification and survival analysis projects.

Titanic

10. Airbnb Listings: Airbnb Listings datasets provide comprehensive information about rental properties listed on Airbnb, including location, price, availability, and user reviews. This data is useful for market analysis and business strategy development in the hospitality industry.

Airbnb Listings

11. IMDB Movies Dataset: The IMDB Movies dataset includes information on movies such as title, genre, cast, crew, release year, ratings, and reviews. It is widely used for analysis in recommendation systems, trend analysis, and other film industry-related studies.

IMDB Movies Dataset

12. Uber Datasets: Uber datasets contain data on ride-sharing trips, including pickup and drop-off locations, times, distances, and fares. This data is valuable for urban mobility studies, traffic pattern analysis, and service optimization in the ride-sharing industry.

Uber Datasets

13. Boston Datasets: The Boston dataset includes information on housing prices in Boston suburbs, with features such as crime rate, average number of rooms, and proximity to employment centers. It is a classic dataset for regression analysis in machine learning.

Boston Datasets

14. Human Resources DataSet: The Human Resources dataset includes information on employees, such as demographics, job roles, salaries, and performance metrics. It is used for HR analytics, including employee turnover prediction, performance analysis, and workforce planning.

Human Resources DataSet

15. World Development Indicators: The World Development Indicators dataset contains data on global development, including economic, social, and environmental indicators. It is useful for studying global trends, policy analysis, and international development projects.

World Development Indicators

16. India – Trade Data: The India Trade Data dataset includes information on India’s imports and exports, covering commodities, trade values, and trading partners. It is valuable for economic analysis, trade policy development, and market research.

India – Trade Data

17. Students Performance in Exams: The Students Performance in Exams dataset contains data on students’ academic performance, including demographic factors, parental education, and test scores. It is used for educational research, performance analysis, and policy development.

Students Performance in Exams

18. 515K Hotel Reviews Data in Europe: This dataset includes reviews of hotels in Europe, with information on review ratings, comments, and hotel details. It is useful for sentiment analysis, customer satisfaction studies, and hospitality industry research.

515K Hotel Reviews Data in Europe

19. Barcelona Data Sets: The Barcelona data sets include various datasets related to the city of Barcelona, such as transportation, weather, tourism, and public services. They are useful for urban studies, smart city projects, and local policy development.

Barcelona Data Sets

20. Coffee and Code: This dataset includes information on coffee shops and coding events, including locations, types of events, and attendance. It is valuable for studying the intersection of social gatherings, productivity, and urban culture.

Coffee and Code

Data Visualization is a graphical structure representing the data to share its insight information. Whether you’re a data scientist, analyst, or enthusiast, working with high-quality datasets is essential for creating compelling visualizations that tell a story and provide valuable insights.

To help you get started on your visualization projects, we have compiled a list of top datasets that cover a wide range of topics, from classic datasets like the Iris flower measurements to comprehensive collections like COVID-19 case data. This article will explore Top Datasets for Visualization Projects and the criteria for Selecting them.