![]() As such, using economic or business datasets for your portfolio project might be worth considering. The goal of many data analysts is to help drive savvy business decisions. Sample dataset: Average mass of glaciers since 1945 ![]() Type of data: Mostly business and financeĪccess: Mostly free, no registration required If you’re interested in more general data about the US population, you can also check out the US Census Bureau, offering a rich selection of data about US citizens, their geography, education, and population growth. Search results are also clearly labeled at federal, state, county, and city levels. For a government website, it has some surprisingly user-friendly search functions, including the ability to drill down by geographical area, organization type, and file format. ![]() With over 200,000 datasets covering everything from climate change to crime, you can lose yourself in the database for hours. In 2015, the US Government made all its data publicly available. Sample dataset: Lobster Report for Transshipment and Sales It has since evolved into a renowned open data platform, offering cloud-based collaboration for data scientists, as well as educational tools for teaching artificial intelligence and data analysis techniques…plus, of course, tonnes of great datasets covering almost any topic you can imagine. Kaggle launched in 2010 with a number of machine learning competitions, which subsequently solved problems for the likes of NASA and Ford. Like Google Dataset Search, Kaggle offers aggregated datasets, but it’s a community hub rather than a search engine. Sample dataset: Daily temperature of major cities Prefer to watch this information over reading it? Check out this video on dataset resources, presented by our very own in-house data scientist, Tom! Google Dataset Search aggregates data from external sources, providing a clear summary of what’s available, a description of the data, who it’s provided by, and when it was last updated. While it’s not the best tool if you prefer to browse, if you have a particular topic or keyword in mind, it won’t disappoint. Launched in 2018, Google Dataset Search is like Google’s standard search engine, but strictly for data. It seems we turn to Google for everything these days, and data is no exception. Sample dataset: Global price of coffee, 1990-present Google Dataset SearchĪccess: Free to search, but does include some fee-based search results In this post, we’ll highlight a few first-rate repositories where you can find data on everything from business to finance, planetary science and crime. The fact you might not have worked on a paid project yet doesn’t mean you can’t whip up a compelling portfolio using some practice datasets.įortunately, the Internet is awash with these, most of which are completely free to download (thanks to the open data initiative). Of course, if you’re new to data analytics, you probably don’t have much expertise! Not to worry. If you’re looking for a job in data analytics, you’ll need a portfolio to demonstrate your expertise. It usually comes in the form of a digital data set that can be analyzed using software such as Excel, SPSS, SAS, and so on.Wondering where to find free and open datasets for your next data project? Look no further… Raw data is the direct result of research that was conducted as part of a study or survey. Data can be analyzed and interpreted using statistical procedures to answer “why” or “how.” Data is used to create new information and knowledge. If you want to dig into a phenomenon, you want data. Machine-readable data files, data files for statistical software programs.Source: Statistical Abstract of the United States This is what a statistical table looks like: They usually come in the form of a table or chart. Statistics are the results of data analysis. A statistic repeats a pre-defined observation about reality. A statistic will answer “how much” or “how many”. If you’re looking for a quick number, you want a statistic. Reported numbers and percentages in an article.Put in the reverse, statistics provide an interpretation and summary of data. Data is the raw information from which statistics are created. In the world of libraries, academia, and research there is an important distinction between data and statistics. In regular conversation, both words are often used interchangeably. What is the difference between Data and Statistics?
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