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[ForetagBigData] Enterprises that have at least once considered performing big data analysis by study domain, observations and year

Updated on DBnomics on April 6, 2022 (11:25 AM).

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study domain [Redovisningsgrupp] (24)
observations [ContentsCode] (2)

This dataset has 48 series:

[10-33.000004NN] Manufacturing (SNI 10-33) – Share of enterprises, percent

from
2020=4
to
2020=4
min:
4
max:
4
avg:
4
σ:
0

[10-33.000004NO] Manufacturing (SNI 10-33) – Margin of error, ±

from
2020=1
to
2020=1
min:
1
max:
1
avg:
1
σ:
0

[10-49.000004NN] 10-49 employees – Share of enterprises, percent

from
2020=3
to
2020=3
min:
3
max:
3
avg:
3
σ:
0

[10-49.000004NO] 10-49 employees – Margin of error, ±

from
2020=1
to
2020=1
min:
1
max:
1
avg:
1
σ:
0

[250-.000004NN] 250 or more employees – Share of enterprises, percent

from
2020=15
to
2020=15
min:
15
max:
15
avg:
15
σ:
0

[250-.000004NO] 250 or more employees – Margin of error, ±

from
2020=1
to
2020=1
min:
1
max:
1
avg:
1
σ:
0

[35-39.000004NN] Energy and recycling (SNI 35-39) – Share of enterprises, percent

from
2020=11
to
2020=11
min:
11
max:
11
avg:
11
σ:
0

[35-39.000004NO] Energy and recycling (SNI 35-39) – Margin of error, ±

from
2020=4
to
2020=4
min:
4
max:
4
avg:
4
σ:
0

[41-43.000004NN] Construction (SNI 41-43) – Share of enterprises, percent

from
2020=1
to
2020=1
min:
1
max:
1
avg:
1
σ:
0

[41-43.000004NO] Construction (SNI 41-43) – Margin of error, ±

from
2020=2
to
2020=2
min:
2
max:
2
avg:
2
σ:
0