Web ResultTo get population data at the national level we can use the following API call: https://datausa.io/api/data?drilldowns= Nation &measures= Population. "data" :[. "ID Nation": "01000US" , "Nation": "United States" , "ID Year": 2016 , "Year": "2016" , "Population": 323127515 , "Slug Nation": "united-states".
Web ResultData USA. The definitive place to explore US public data. 36,523. Locations. 309. Industries. 650. Jobs. 7,257. Universities. 1,837. Degrees. 254. Products. Explore the latest Covid-19 numbers in the United States Go to COVID Explorer. Browse through more than 47,000 automated reports. Data USA puts public US Government data …
DA:87PA:26MOZ Rank:99Up or Down:Up
GitHub - DataUSA/datausa-api: API for accessing US data sets
Web ResultDataUSA is a web platform built using Flask, an open source Python library for interacting with HTTP. this installation guide is written assuming a Linux or Linux-like environment. The following software is required to be installed locally in order to get DataUSA running: Python. Postgres.
Web ResultCOVID-19 in Numbers. The most comprehensive visualization of U.S. public data. Data USA provides an open, easy-to-use platform that turns data into knowledge.
Web ResultApr 8, 2019 · Basic Filtering. There are two main ways to filter rows in the DataUSA API. One way is through strict equality. For example, if you were looking at all top level NAICS: http://api.datausa.io/api?show=naics&sumlevel=0. You could filter the results to only show data from NAICS code 23, by adding &naics=23 to the URL: …
Web ResultData USA provides an open, easy-to-use platform that turns data into knowledge. It allows millions of people to conduct their own analyses and create their own stories about America – its people, places, industries, skill sets and educational institutions.
Web ResultAug 31, 2016 · Here is an example using the open source requests library to load the data (install using pip install requests ): import requests url = "http://api.datausa.io/api/?show=geo&sumlevel=state&required=avg_wage" json = requests. get ( url ). json () data = [ dict ( zip ( json [ "headers" ], d )) for d in json [ …
Web ResultAPI for accessing US data sets. Python 230 42. datausa-site Public. The most comprehensive visualization of U.S. public data — JavaScript 96 31. datausa-config Public. Configuration files for US data. Python 10 8. datausa-tutorials Public. Holds tutorials for how to build things with the Data USA API and embedded …
Web ResultDataUSA is a web platform built using Flask, an open source Python library for interacting with HTTP. this installation guide is written assuming a Linux or Linux-like environment. The following software is required to be installed locally in order to get DataUSA running: