[ForetagBigDataKallaN] Analysis of big data by data sources, study domain, observations and year
Retrieved by DBnomics on April 6, 2022 (11:25 AM).
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data sources [KallaRedGruppBigData] (4)
study domain [Redovisningsgrupp] (24)
observations [ContentsCode] (2)
This dataset has 192 series:
[050.10-33.000004NJ] data from smart devices or sensors – Manufacturing (SNI 10-33) – Share of enterprises, percent
- from
- 2019=6
- to
- 2019=6
- min:
- 6
- max:
- 6
- avg:
- 6
- σ:
- 0
[050.10-33.000004NK] data from smart devices or sensors – Manufacturing (SNI 10-33) – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.10-49.000004NJ] data from smart devices or sensors – 10-49 employees – Share of enterprises, percent
- from
- 2019=3
- to
- 2019=3
- min:
- 3
- max:
- 3
- avg:
- 3
- σ:
- 0
[050.10-49.000004NK] data from smart devices or sensors – 10-49 employees – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.250-.000004NJ] data from smart devices or sensors – 250 or more employees – Share of enterprises, percent
- from
- 2019=20
- to
- 2019=20
- min:
- 20
- max:
- 20
- avg:
- 20
- σ:
- 0
[050.250-.000004NK] data from smart devices or sensors – 250 or more employees – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.35-39.000004NJ] data from smart devices or sensors – Energy and recycling (SNI 35-39) – Share of enterprises, percent
- from
- 2019=21
- to
- 2019=21
- min:
- 21
- max:
- 21
- avg:
- 21
- σ:
- 0
[050.35-39.000004NK] data from smart devices or sensors – Energy and recycling (SNI 35-39) – Margin of error, ±
- from
- 2019=5
- to
- 2019=5
- min:
- 5
- max:
- 5
- avg:
- 5
- σ:
- 0
[050.41-43.000004NJ] data from smart devices or sensors – Construction (SNI 41-43) – Share of enterprises, percent
- from
- 2019=2
- to
- 2019=2
- min:
- 2
- max:
- 2
- avg:
- 2
- σ:
- 0
[050.41-43.000004NK] data from smart devices or sensors – Construction (SNI 41-43) – Margin of error, ±
- from
- 2019=2
- to
- 2019=2
- min:
- 2
- max:
- 2
- avg:
- 2
- σ:
- 0
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data sources [KallaRedGruppBigData] (4)
study domain [Redovisningsgrupp] (24)
observations [ContentsCode] (2)
This dataset has 192 series:
[050.10-33.000004NJ] data from smart devices or sensors – Manufacturing (SNI 10-33) – Share of enterprises, percent
- from
- 2019=6
- to
- 2019=6
- min:
- 6
- max:
- 6
- avg:
- 6
- σ:
- 0
[050.10-33.000004NK] data from smart devices or sensors – Manufacturing (SNI 10-33) – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.10-49.000004NJ] data from smart devices or sensors – 10-49 employees – Share of enterprises, percent
- from
- 2019=3
- to
- 2019=3
- min:
- 3
- max:
- 3
- avg:
- 3
- σ:
- 0
[050.10-49.000004NK] data from smart devices or sensors – 10-49 employees – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.250-.000004NJ] data from smart devices or sensors – 250 or more employees – Share of enterprises, percent
- from
- 2019=20
- to
- 2019=20
- min:
- 20
- max:
- 20
- avg:
- 20
- σ:
- 0
[050.250-.000004NK] data from smart devices or sensors – 250 or more employees – Margin of error, ±
- from
- 2019=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
[050.35-39.000004NJ] data from smart devices or sensors – Energy and recycling (SNI 35-39) – Share of enterprises, percent
- from
- 2019=21
- to
- 2019=21
- min:
- 21
- max:
- 21
- avg:
- 21
- σ:
- 0
[050.35-39.000004NK] data from smart devices or sensors – Energy and recycling (SNI 35-39) – Margin of error, ±
- from
- 2019=5
- to
- 2019=5
- min:
- 5
- max:
- 5
- avg:
- 5
- σ:
- 0
[050.41-43.000004NJ] data from smart devices or sensors – Construction (SNI 41-43) – Share of enterprises, percent
- from
- 2019=2
- to
- 2019=2
- min:
- 2
- max:
- 2
- avg:
- 2
- σ:
- 0
[050.41-43.000004NK] data from smart devices or sensors – Construction (SNI 41-43) – Margin of error, ±
- from
- 2019=2
- to
- 2019=2
- min:
- 2
- max:
- 2
- avg:
- 2
- σ:
- 0
Loading chart
[KallaRedGruppBigData] data sources
[050] data from smart devices or sensors
[060] geolocation data from the use of portable devices
[070] data generated from social media
[080] other types of big data sources
[Redovisningsgrupp] study domain
[Tot250] 10 or more employees in total
[10-49] 10-49 employees
[50-249] 50-249 employees
[250-] 250 or more employees
[TotSNI] Total (SNI 10-63, 68-74, 77-82, 95.1)
[10-33] Manufacturing (SNI 10-33)
[35-39] Energy and recycling (SNI 35-39)
[41-43] Construction (SNI 41-43)
[45-47] Trade; motor vehicle and motorcycle garages (SNI 45-47)
[49-53] Transport and storage enterprises (SNI 49-53)
[55-56] Accommodation and food services (SNI 55-56)
[58-63] Information and communication enterprises (SNI 58-63)
[68] Real estate companies and managers (SNI 68)
[69-82+95.1exkl.75] Other service companies (SNI 69-74, 77-82, 95.1)
[IKT] ICT sector (SNI 26.1-26.4, 26.8, 46.5, 58.2, 61-62, 63.1, 95.1)
[SE] Sweden
[RIKS1] Stockholm
[RIKS2] Östra mellansverige
[RIKS3] Småland med öarna
[RIKS4] Sydsverige
[RIKS5] Västsverige
[RIKS6] Norra mellansverige
[RIKS7] Mellersta Norrland
[RIKS8] Övre Norrland
[ContentsCode] observations
[000004NJ] Share of enterprises, percent
[000004NK] Margin of error, ±