ScotlandsData. Glasgow Open Data. City Observatory Data Portal. OK Scotland. Scotland's Environment Web. Scotland’s Environment Web is developing a range of data visualisation applications that can be used by a wide variety of people with varying data interests and expertise - including the general public, teachers and students, policy officers and environmental assessment specialists.
These applications read from significant amounts of raw data, in different formats and from multiple sources. They present data in an interactive format that helps users to relate, transform, manipulate and analyse to extract useful information. Live links are maintained to the published data so that automated updates are made on a regular basis. This ensures that the most up-to-date data is always presented. One of the major benefits of these tools are that the interactive graphs, images and data tables shown in the application can be exported as images, CSV files and PDF documents for use in reports and presentations. My NHS. NHS England Medical Director's view In the NHS and across the public sector we are committed to making sure information about the quality of our services is available and accessible to all.
Data.gov. Data Sources · MRAN. NASA Data. Fueling the Gold Rush: The Greatest Public Datasets for AI. It has never been easier to build AI or machine learning-based systems than it is today.
The ubiquity of cutting edge open-source tools such as TensorFlow, Torch, and Spark, coupled with the availability of massive amounts of computation power through AWS, Google Cloud, or other cloud providers, means that you can train cutting-edge models from your laptop over an afternoon coffee. Though not at the forefront of the AI hype train, the unsung hero of the AI revolution is data — lots and lots of labeled and annotated data, curated with the elbow grease of great research groups and companies who recognize that the democratization of data is a necessary step towards accelerating AI. However, most products involving machine learning or AI rely heavily on proprietary datasets that are often not released, as this provides implicit defensibility. Youth Homelessness DataBank. Fun Data for teaching R. I’ll be running an R course soon and I am looking for fun (public) datasets to use in data manipulation and visualization.
I would like to use a single dataset that has some easy variables for the first days, but also some more challenging ones for the final days. And I want that when I put exercises, the students* are curious about finding out the answer. [*in this case students are not ecologists] Ideas: -Movies. -Music. -Football: I discarded this one for me because I know nothing about it, but I am sure it will be highly popular in Spain. –Kaggel datasets are also awesome. –Earthquakes: This one also needs some parsing of the txt files (easier than IMDB) and will do for pretty visualizations.
-Datasets already in R: Along with the classic datasets on Iris flowers (used by Fisher!) -Other: Internet is full of data like real time series, lots of small data examples, M&M’s colors by bag, Jeopardy questions, Marvel social networks, Dolphins social networks, … Introducing Kaggle Datasets. At Kaggle, we want to help the world learn from data.
This sounds bold and grandiose, but the biggest barriers to this are incredibly simple. It’s tough to access data. It’s tough to understand what’s in the data once you access it. We want to change this. That’s why we’ve created a home for high quality public datasets, Kaggle Datasets. Road Safety Data. Open Data Barometer. Resources to Find the Data You Need, 2016 Edition. 25+ websites to find datasets for data science projects.
Introduction If there is one sentence, which summarizes the essence of learning data science, it is this: The best way to learn data science is to apply data science.
If you are a beginner, you improve tremendously with each new project you undertake. If you are an experienced data science professional, you already know what I am talking about. However, when I give this advice to people, they usually ask something in return – Where can I get datasets for practice? If you think that the situation above applies to you – Don’t worry!