Facebook
TwitterDecide upon investment and business opportunities using available data.
What can be learned from crunchbase information? A small snapshot to explore while we wait to access the live data API Did this companies thrive? What patterns can be discovered regarding categories, quantity in a category, country, etc?
Downloaded from https://github.com/datahoarder/crunchbase-october-2013
What patterns can be discovered regarding categories, quantity in a category, country, etc? Bias/trends in investor decisions?
Facebook
Twitterhttps://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/
there are 21 columns in the dataset and it was obtained using API scraping from simplify.jobs.
name id logo description short_description url twitter crunchbase linkedin year_founded ... benefits values url_safe_slug verified featured_recruiter featured_recruiter_info featured_title funding_stage customer_type funding_total
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Developers were asked: "When you can find the government data you need, how would you generally describe its accessibility and usability? Please rate the following statements." The statements deal with API access, data quality, documentation and other factors that make government data usable for developers.
Facebook
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Facebook
TwitterDecide upon investment and business opportunities using available data.
What can be learned from crunchbase information? A small snapshot to explore while we wait to access the live data API Did this companies thrive? What patterns can be discovered regarding categories, quantity in a category, country, etc?
Downloaded from https://github.com/datahoarder/crunchbase-october-2013
What patterns can be discovered regarding categories, quantity in a category, country, etc? Bias/trends in investor decisions?