search

79 posts
Search trends during the pandemic

As you would imagine, what we search for online shifted over the past few months. The unknowns push information gathering. Schema Design, in collaboration with the Google News Initiative and Axios, broke down the main changes in search since January. Using a beeswarm chart, each circle represents a query and the size of a circle represents the rank in a query. I really wanted to mouse over the circles to...

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Change in Google searches since the virus

The coronavirus changed what information we search for. Has anyone been more interested in making masks or hand sanitizer in the history of the world? For The Washington Post, Alyssa Fowers compares search rankings for how, where, what, and how the week of April 5 to 11, for 2019 against 2020. Tags: Alyssa Fowers, coronavirus, Google, search, Washington Post

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Google Dataset Search moves out of beta

Over a year ago, Google released Dataset Search in public beta. The goal was to index datasets across the internets to make them easier to find. It came out of beta: Based on what we’ve learned from the early adopters of Dataset Search, we’ve added new features. You can now filter the results based on the types of dataset that you want (e.g., tables, images, text), or whether the dataset...

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Search through 3m nonprofit tax records

ProPublica just released a search tool for nonprofit tax records: The possibilities are nearly limitless. You can search for the names or addresses of independent contractors that made more than $100,000 from a nonprofit, you can search for addresses, keywords in mission statements or descriptions of accomplishments. You can even use advanced search operators, so for instance you can find any filing that mentions either “The New York Times,” “nytimes”...

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✚ Google Dataset Search Impressions, the Challenges of Looking for Data, and Other Places to Find Data

Google released Dataset Search to the world last week. Some asked for my thoughts on the new tool, and as you know, ask and you shall receive. Plus, finding, gathering, and curating data is often the most tedious and time-consuming part of a visualization project. So anything to speed up the collection process is worth a look. Read More

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Google Dataset Search now in public beta

Datasets are scattered across the web, tucked into cobwebbed corners where nobody can find them. Google Dataset Search aims to make the process easier: Similar to how Google Scholar works, Dataset Search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s personal web page. To create Dataset search, we developed guidelines for dataset providers to describe their data in a way...

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A search engine for color palettes

Picular is a simple tool that lets you search for a topic, and with Google Images as source, outputs a set of colors related to your query. This is going to be a great timesaver. Tags: color, search

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Most frequent how-tos we search for

Xaquín G.V., in collaboration with the Google News Lab, investigated what people around the world searched for how to do. Starting with items in the household that need fixing, the visual essays looks at more general topics and the seasonality of things. If anything, check out those animated GIFs. Tags: Google, search

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Language in 2016, seen through Google Search Trends

People go to Google to find information about things, and when new words appear or grow popular in a language, search trends typically reflect the growth. This scrolly and interactive collaboration between the Google News Lab and Polygraph shows you the words that surged the most, their geography, and where they fit in with past words such as “selfie” and “slay.” [Thanks, Jenn] Tags: Google, Polygraph, search

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Visual search tool for satellite imagery

Terrapattern is a fun prototype that lets you search satellite imagery simply by clicking on a map. For example, you can click on a tennis court, and through machine learning, the application looks for similar areas. Terrapattern uses a deep convolutional neural network (DCNN), based on the ResNet (“Residual Network”) architecture developed by Kaiming He et al. We trained a 34-layer DCNN using hundreds of thousands of satellite images labeled...

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