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[ForetagBigDataKalla] Analysis of big data by data sources, study domain, observations and year

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

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data sources [KallaRedGruppBigData] (4)
study domain [Redovisningsgrupp] (30)
observations [ContentsCode] (2)

This dataset has 240 series:

[010.0-4.0000029M] smart devices or sensors – 0-4 employees – Share of enterprises, percent

from
2017=2
to
2017=2
min:
2
max:
2
avg:
2
σ:
0

[010.0-4.0000029N] smart devices or sensors – 0-4 employees – Margin of error, ±

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0

[010.0-9.0000029M] smart devices or sensors – 0-9 employees – Share of enterprises, percent

from
2017=2
to
2017=2
min:
2
max:
2
avg:
2
σ:
0

[010.0-9.0000029N] smart devices or sensors – 0-9 employees – Margin of error, ±

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0

[010.0.0000029M] smart devices or sensors – 0 employees – Share of enterprises, percent

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0

[010.0.0000029N] smart devices or sensors – 0 employees – Margin of error, ±

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0

[010.1-4.0000029M] smart devices or sensors – 1-4 employees – Share of enterprises, percent

from
2017=2
to
2017=2
min:
2
max:
2
avg:
2
σ:
0

[010.1-4.0000029N] smart devices or sensors – 1-4 employees – Margin of error, ±

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0

[010.10-33.0000029M] smart devices or sensors – Manufacturing (SNI 10-33) – Share of enterprises, percent

from
2017=4
to
2017=4
min:
4
max:
4
avg:
4
σ:
0

[010.10-33.0000029N] smart devices or sensors – Manufacturing (SNI 10-33) – Margin of error, ±

from
2017=1
to
2017=1
min:
1
max:
1
avg:
1
σ:
0