- Google Dataset Search.
- Kaggle.
- Data.Gov.
- Datahub.io.
- UCI Machine Learning Repository.
- Earth Data.
- CERN Open Data Portal.
- Global Health Observatory Data Repository.
What are some interesting datasets?
- Funny Data.
- Video Game Culture Wars.
- Clever Weather Patterns.
- Trending Shows on Streaming Platforms.
- Global Warming Trends.
- Bachelor Winners.
- A Smarter Way to Play Fantasy Football.
- POTUS’s Twitter Account.
Is CERN data public?
This data set is now publicly available on the CERN Open Data Portal. Open source software to read and analyse the data is also available, together with the corresponding documentation.
Where can I get free datasets for analysis?
- Data.world.
- Kaggle.
- FiveThirtyEight.
- Buzzfeed.
- Data.gov.
- Reddit.
Is kaggle data reliable?
The vast majority of Kaggle datasets are reliable. You can judge how reliable a dataset is by looking at its upvotes or by reviewing the notebooks shared using the dataset.
Where can I find large datasets open to the public?
- World Bank Open Data.
- WHO (World Health Organization) — Open data repository.
- Google Public Data Explorer.
- Registry of Open Data on AWS (RODA)
- European Union Open Data Portal.
- FiveThirtyEight.
- U.S. Census Bureau.
- Data.gov.
What are public datasets?
A public dataset is any dataset that is stored in BigQuery and made available to the general public through the Google Cloud Public Dataset Program. The public datasets are datasets that BigQuery hosts for you to access and integrate into your applications.
What topics have lots of data?
- Business and Employment. Crunchbase – Find business information about private and public companies.
- Crime/Conflict/Drugs.
- Internet.
- Finance.
- Health.
- Entertainment.
- Government.
- Transportation.
How do I download a dataset?
If you want to download datasets that are used in projects, you can follow these steps: Navigate to your project and click File > Open. Navigate to the folder where the datasets are stored. Select the datasets you need and click Download.
Can CERN create a black hole?
The LHC will not generate black holes in the cosmological sense. However, some theories suggest that the formation of tiny ‘quantum’ black holes may be possible.
Is CERN running now?
The LHC at CERN, outside of Geneva, is set to run 24/7 for nearly four years at a record energy of 13.6 trillion electronvolts. The upgrades should give LHC tools greater precision and allow for more particle collisions, brighter light and more discovery about particles in quantum field theory.
What happened at CERN?
The Higgs Boson particle was first observed when scientists at the European Center for Nuclear Research, or CERN, spun and crashed particles together near the speed of light. They did that by using the world’s largest and most powerful particle accelerator — the Large Hadron Collider.
Is kaggle free?
Kaggle offers a free tool for data science teachers to run academic machine learning competitions.
Is kaggle open source?
It lists ongoing machine learning competitions/data science contests across Kaggle, DrivenData, AICrowd, and others. It’s all open source and community-maintained.
How do you find the data in a science project?
A good place to find large public data sets are cloud hosting providers like Amazon and Google. They have an incentive to host the data sets, because they make you analyze them using their infrastructure (and pay them).
Which is better Github or Kaggle?
On Kaggle, you have a profile where you can earn rankings for sharing your work and placing well in competitions. Github, on the other hand, is more focused on function. Github is one of the hosting platforms for the versioning control system called git.
Why does everyone use Kaggle?
Kaggle offers plenty of resources for aspiring to advanced data scientists. Benefits of this website include, but are not limited to: data, code, community, inspiration, competitions, and courses.
How much did Google buy Kaggle for?
You can take a point of reference from the funding history – https://www.crunchbase.com/organization/kaggle#/entity $11M Nov 2011 followed by 1.75M in Sept 2015.
Where can I get big data from?
Amazon Web Services public datasets http://aws.amazon.com/datasets Huge resource of public data, including the 1000 Genome Project, an attempt to build the most comprehensive database of human genetic information and NASA’s database of satellite imagery of Earth. Facebook Graph https://developers.facebook.com/docs/ …
How do I get large datasets?
Sources for Finding Large Datasets Page from the CISER Data Archive at Cornell Institute for Social and Economic Research. ‘Find, download, and use datasets that are generated and held by the Federal Government. ‘ U.S. government website with links to health-related datasets from a variety of health agencies.
What are big datasets?
Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
What is a data set example?
A data set is a collection of numbers or values that relate to a particular subject. For example, the test scores of each student in a particular class is a data set. The number of fish eaten by each dolphin at an aquarium is a data set.
What is a snowflake dataset?
A Snowflake database is where an organization’s uploaded structured and semistructured data sets are held for processing and analysis. Snowflake automatically manages all parts of the data storage process, including organization, structure, metadata, file size, compression, and statistics.
What’s the difference between open data and public data?
Public data can be defined as all information in the public domain, encompassing anything from a monthly updating dataset on a government data portal to PDF files that are only accessible via Freedom of Information requests (and everything in between). Open data is, by definition, easy to access.
What is the best topic for students in research?
- Technology.
- Religion.
- Social Media.
- Music.
- Education.
- Health.
- Social issues.
- Environment.