Arts, Media, and Entertainment Data Atlas

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Data Share Description:

Arts, Media, and Entertainment Data Atlas

Data Share Frequency: Daily
Data Share Category: Media
Data Share Type: Open
Data Share Date Added: March 1, 2021
Data Share Status: ACTIVE
Data Share Email Contact: info@knoema.com
Data Share Usage Example Q1: How many people work in the culture sector in Europe? SELECT * FROM “ARTS_MEDIA_ENTERTAINMENT”.”cult_emp_n2-20160718″ WHERE “geo” = ‘EU27_2019’ AND “nace_r2 Name” = ‘Total (aggregate changing according to the context)’ AND “Measure Name” = ‘Thousand perso
Data Share Usage Example SQL1 Last Tested: January 1, 1970

Data Share Overview:

The Arts, Media, and Entertainment Data Atlas is a collection of datasets that cover a range of economic activities related to the generation or exploitation of knowledge and information, pieces of art, and media content. It includes indicators of art, film making, publishing, as well as video games industries. Topics covered: – Media – Entertainment – Arts – Culture Stats Datasets include: – Eurostat Social Media Use by Purpose – Global Innovation Index, 2020 – Reporters Without Borders World Press Freedom Index, 2020 – UK Cinema Association UK Cinema Industry – 40+ others Please see reference table ARTS_MEDIA_ENTERTAINMENT_DATASETS that includes the list of all tables/datasets included in this listing, with key details on each table/dataset including name, source, frequency of refresh, source, documentation on data, etc. Fields include: – Postal articles handled – Persons working as creative and performing artists, authors, journalists, and linguists – Film installations – Cinema infrastructure Sources include UNECE, Eurostat, Pew Research Center, UK Cinema Association. Datasets are updated within 1-7 days of the most recent data being made available by the underlying reporter. More detail on each of the datasets, fields, and sources included in the share can be found at the link in our documentation. Use cases – Estimating film supply and demand by country of origin – Forecasting revenue from digital media – Investigating employment in the cultural sector

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