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[ITlosning] IT solutions to reduce energy consumption by measure, study domain, observations and year

Updated on DBnomics on April 8, 2022 (1:30 PM).

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measure [Atgard] (4)
study domain [Redovisningsgrupp] (30)
observations [ContentsCode] (2)

This dataset has 240 series:

[060.0-4.000001YB] intelligent management of transport and logistics – 0-4 employees – Percentage, percent

from
2014=2
to
2020=7
min:
2
max:
7
avg:
3.714
σ:
1.829

[060.0-4.000001YC] intelligent management of transport and logistics – 0-4 employees – Margin of error, ±

from
2014=1
to
2020=1
min:
1
max:
2
avg:
1.286
σ:
0.452

[060.0-9.000001YB] intelligent management of transport and logistics – 0-9 employees – Percentage, percent

from
2014=2
to
2020=8
min:
2
max:
8
avg:
3.857
σ:
2.1

[060.0-9.000001YC] intelligent management of transport and logistics – 0-9 employees – Margin of error, ±

from
2014=1
to
2020=1
min:
1
max:
1
avg:
1
σ:
0

[060.0.000001YB] intelligent management of transport and logistics – 0 employees – Percentage, percent

from
2014=2
to
2020=6
min:
1
max:
6
avg:
3.143
σ:
1.552

[060.0.000001YC] intelligent management of transport and logistics – 0 employees – Margin of error, ±

from
2014=1
to
2020=2
min:
1
max:
2
avg:
1.429
σ:
0.495

[060.1-4.000001YB] intelligent management of transport and logistics – 1-4 employees – Percentage, percent

from
2014=2
to
2020=9
min:
2
max:
9
avg:
4.714
σ:
2.491

[060.1-4.000001YC] intelligent management of transport and logistics – 1-4 employees – Margin of error, ±

from
2014=1
to
2020=2
min:
1
max:
2
avg:
1.714
σ:
0.452

[060.10-33.000001YB] intelligent management of transport and logistics – Manufacturing (SNI 10-33) – Percentage, percent

from
2014=8
to
2020=12
min:
5
max:
12
avg:
8.571
σ:
2.821

[060.10-33.000001YC] intelligent management of transport and logistics – Manufacturing (SNI 10-33) – Margin of error, ±

from
2014=2
to
2020=2
min:
1
max:
2
avg:
1.571
σ:
0.495