


From beginners to experts: 10 must-have free public dataset websites
For beginners in data science, the core of the leap from "inexperience" to "industry expert" is continuous practice. The basis of practice is the rich and diverse data sets. Fortunately, there are a large number of websites on the Internet that offer free public data sets, which are valuable resources to improve skills and hone your skills.
1. data.world
This is an excellent repository of public data sets. Its biggest advantage is that its data sources are extremely wide, covering many fields such as finance, crime, economy, and NASA. More importantly, it is not only a data download site, but also a collaboration platform. You can upload your own data here, collaborate with others, and even write SQL queries directly on the platform to explore the data. It also provides SDKs for Python and R, greatly facilitating data processing and analysis.
2. Kaggle
Kaggle is one of the most famous data science communities in the world. This is not only a massive amount of high-quality data sets shared by users and enterprises, but also a platform for learning and competition. You can participate in data science competitions on Kaggle, compete with top global experts, and even win prizes. At the same time, there are a lot of shared code in the community (Notebooks) which are also an excellent resource for learning best practices.
3. FiveThirtyEight
This is a website that takes data news to the extreme. FiveThirtyEight is good at using hard data and statistical analysis to tell in-depth stories about politics, sports, society and more. Most valuable is that they will publish all source datasets used in the article publicly on GitHub. This means you can download and reproduce their analytics yourself, and is a top example of how to learn how to tell stories with data.
4. BuzzFeed News
You might be surprised by the emergence of BuzzFeed, but this media company known for its entertainment news also has a strong data news team. Similar to FiveThirtyEight, BuzzFeed News will also open source the analysis, tools and datasets used behind its in-depth coverage on GitHub, with a variety of content, from beer recipes to pesticide poisoning rates.
5. Data.gov
This is the official open data portal of the U.S. government. As a pioneer in the global open data movement, Data.gov aggregates massive data sets from various departments of the US federal government, covering multiple fields such as agriculture, public safety, climate, education, etc., and is a treasure house for macroeconomics, sociology and other research.
6. Socrata OpenData
Socrata is a company that provides open data platform services to governments and organizations at all levels around the world, and its OpenData portal has thus brought together a large number of valuable data sets. You can explore this data directly in your browser and perform preliminary analysis using its built-in visualization tools. But it should be noted that the data quality may be uneven and it takes some time to filter.
7. Quandl
Quandl is an excellent choice for machine learning projects focused on finance and economics. It provides a large amount of economic and financial time series data that has been cleaned and sorted. This means you can devote more energy to model building and algorithm testing rather than tedious data cleaning. It should be noted that some of the data on this website are free, but many advanced data sets require a paid purchase.
8. Reddit (r/datasets)
As a world-renowned social news website, Reddit's sub-section under it is a vibrant community. Here users share, search and discuss various interesting data sets. The data sets here are often very unique and "human" and although the quality is uneven, some unexpected treasures can always be found.
9. UCI Machine Learning Repository
For practitioners and researchers in the field of machine learning, the UCI machine learning library is a palace-level resource that everyone knows about. It is one of the world's most famous and oldest repositories of machine learning datasets, and contains from classic Iris datasets to a wide variety of modern research datasets, and is the first choice for learning and testing algorithms.
10. Academic Torrents
This is a sharing platform focused on academic research data. It utilizes BitTorrent technology, allowing researchers to easily share and download scientific datasets and papers that are usually large. If you need to do cutting-edge scientific research, there may be data you need that is hard to find elsewhere.
Conclusion: Practice is the only shortcut
Being an excellent data scientist is not a day's work, it requires persistent learning and practice. The above websites provide you with inexhaustible "ammunition". Now, start by choosing a data set that interests you and start practicing
The above is the detailed content of From beginners to experts: 10 must-have free public dataset websites. For more information, please follow other related articles on the PHP Chinese website!

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