Data license: ODbL · Data source: Digital Music Observatory

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Link rowid ▼ dataset_code var_name id name count Description RelatedItem
1 ind_never_use_internet freq A Annual 672.0 To be used for data collected or disseminated every year
[
    {
        "RelatedItem": "ISO 8601 date and time format (correspondence table)",
        "relationType": "Cites",
        "relatedItemIdentifier": "https://www.iso.org/iso-8601-date-and-time-format.html",
        "relatedItemIdentifierType": "URL"
    },
    {
        "RelatedItem": "SDMX Code List for Frequency",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?page_id=3215/",
        "relatedItemIdentifierType": "URL"
    }
]
2 ind_never_use_internet geo AL Albania 7.0 Observation related to Albania  
3 ind_never_use_internet geo AT Austria 16.0 Observation related to Austria  
4 ind_never_use_internet geo BA Bosnia and Herzegovina 7.0 Observation related to Bosnia and Herzegovina  
5 ind_never_use_internet geo BE Belgium 16.0 Observation related to Belgium  
6 ind_never_use_internet geo BG Bulgaria 16.0 Observation related to Bulgaria  
7 ind_never_use_internet geo CH Switzerland 11.0 Observation related to Switzerland  
8 ind_never_use_internet geo CY Cyprus 16.0 Observation related to Cyprus  
9 ind_never_use_internet geo CZ Czechia 16.0 Observation related to Czechia  
10 ind_never_use_internet geo DE Germany (until 1990 former territory of the FRG) 16.0 Observation related to Germany (until 1990 former territory of the FRG)  
11 ind_never_use_internet geo DK Denmark 16.0 Observation related to Denmark  
12 ind_never_use_internet geo EA Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015) 16.0 Observation related to Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015)  
13 ind_never_use_internet geo EE Estonia 16.0 Observation related to Estonia  
14 ind_never_use_internet geo EL Greece 16.0 Observation related to Greece  
15 ind_never_use_internet geo ES Spain 16.0 Observation related to Spain  
16 ind_never_use_internet geo EU27_2007 European Union - 27 countries (2007-2013) 14.0 Observation related to European Union - 27 countries (2007-2013)  
17 ind_never_use_internet geo EU27_2020 European Union - 27 countries (from 2020) 16.0 Observation related to European Union - 27 countries (from 2020)  
18 ind_never_use_internet geo EU28 European Union - 28 countries (2013-2020) 16.0 Observation related to European Union - 28 countries (2013-2020)  
19 ind_never_use_internet geo FI Finland 16.0 Observation related to Finland  
20 ind_never_use_internet geo FR France 16.0 Observation related to France  
21 ind_never_use_internet geo HR Croatia 16.0 Observation related to Croatia  
22 ind_never_use_internet geo HU Hungary 16.0 Observation related to Hungary  
23 ind_never_use_internet geo IE Ireland 16.0 Observation related to Ireland  
24 ind_never_use_internet geo IS Iceland 16.0 Observation related to Iceland  
25 ind_never_use_internet geo IT Italy 16.0 Observation related to Italy  
26 ind_never_use_internet geo LT Lithuania 16.0 Observation related to Lithuania  
27 ind_never_use_internet geo LU Luxembourg 16.0 Observation related to Luxembourg  
28 ind_never_use_internet geo LV Latvia 16.0 Observation related to Latvia  
29 ind_never_use_internet geo ME Montenegro 13.0 Observation related to Montenegro  
30 ind_never_use_internet geo MK North Macedonia 16.0 Observation related to North Macedonia  
31 ind_never_use_internet geo MT Malta 16.0 Observation related to Malta  
32 ind_never_use_internet geo NL Netherlands 16.0 Observation related to Netherlands  
33 ind_never_use_internet geo NO Norway 16.0 Observation related to Norway  
34 ind_never_use_internet geo PL Poland 16.0 Observation related to Poland  
35 ind_never_use_internet geo PT Portugal 16.0 Observation related to Portugal  
36 ind_never_use_internet geo RO Romania 16.0 Observation related to Romania  
37 ind_never_use_internet geo RS Serbia 11.0 Observation related to Serbia  
38 ind_never_use_internet geo SE Sweden 16.0 Observation related to Sweden  
39 ind_never_use_internet geo SI Slovenia 16.0 Observation related to Slovenia  
40 ind_never_use_internet geo SK Slovakia 16.0 Observation related to Slovakia  
41 ind_never_use_internet geo TR Turkey 16.0 Observation related to Turkey  
42 ind_never_use_internet geo UK United Kingdom 16.0 Observation related to United Kingdom  
43 ind_never_use_internet geo XK Kosovo (under United Nations Security Council Resolution 1244/99) 8.0 Observation related to Kosovo (under United Nations Security Council Resolution 1244/99)  
44 ind_never_use_internet geo_units_reduced gain Information gain 4.0 Geo units in the largest subset of the observatory dataset (gained.)  
45 ind_never_use_internet geo_units_reduced gain_pct Information gain (% increase) 0.13793103448275867 Geo units in the largest subset of the observatory dataset (% increase.)  
46 ind_never_use_internet geo_units_reduced observatory Observatory (processed) dataset 33.0 Geo units in the largest subset of the observatory (processed) dataset.  
47 ind_never_use_internet geo_units_reduced source Source dataset 29.0 Geo units in the largest subset of the source dataset.  
48 ind_never_use_internet method A Actual values 447.0 No method applied.
[
    {
        "RelatedItem": "Retrieval and Analysis of Eurostat Open Data with the eurostat Package ",
        "relatedItemType": "Software",
        "relationType": "isCompiledBy",
        "relatedItemIdentifier": "https://ropengov.github.io/eurostat/",
        "relatedItemIdentifierType": "URL"
    }
]
49 ind_never_use_internet method approx Linear Approximation 12.0 Replacing each missing item with interpolated values.
[
    {
        "RelatedItem": "zoo: S3 Infrastructure for Regular and Irregular Time Series",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "DOI",
        "relatedItemIdentifier": "10.18637/jss.v014.i06"
    }
]
50 ind_never_use_internet method Backcast ETS(A,A,N) Exponential smoothing Backcast (A,A,N) 16.0 Exponential smoothing with Holt’s linear method with additive errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
51 ind_never_use_internet method Backcast ETS(A,N,N) Exponential smoothing Backcast (A,N,N) 14.0 Exponential smoothing (Additive trend, no seasonal component).
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
52 ind_never_use_internet method Backcast ETS(M,A,N) Exponential smoothing Backcast (M,A,N) 46.0 Exponential smoothing with the additive Holt’s linear method with multiplicative errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
53 ind_never_use_internet method Backcast ETS(M,N,N) Exponential smoothing Backcast (M,N,N) 8.0 Exponential smoothing with simple exponential smoothing with multiplicative errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
54 ind_never_use_internet method Forecast ETS(A,A,N) Exponential smoothing Forecast (A,A,N) 28.0 Exponential smoothing with Holt’s linear method with additive errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
55 ind_never_use_internet method Forecast ETS(A,Ad,N) Exponential smoothing Forecast (A,Ad,N) 14.0 Exponential smoothing with the additive damped trend method.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
56 ind_never_use_internet method Forecast ETS(A,N,N) Exponential smoothing Forecast (A,N,N) 14.0 Exponential smoothing (Additive trend, no seasonal component).
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
57 ind_never_use_internet method Forecast ETS(M,A,N) Exponential smoothing Forecast (M,A,N) 14.0 Exponential smoothing with the additive Holt’s linear method with multiplicative errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
58 ind_never_use_internet method Forecast ETS(M,Ad,N) Exponential smoothing Forecast (M,Ad,N) 2.0 Exponential smoothing (M, Ad, N)
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
59 ind_never_use_internet method Forecast ETS(M,N,N) Exponential smoothing Forecast (M,N,N) 12.0 Exponential smoothing with simple exponential smoothing with multiplicative errors.
[
    {
        "RelatedItem": "{forecast}: Forecasting functions for time series and linear models",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "URL",
        "relatedItemIdentifier": "https://pkg.robjhyndman.com/forecast/"
    }
]
60 ind_never_use_internet method locf Last Observation Carry Forward 4.0 Replacing each missing item with the most recent non-missing prior to it.
[
    {
        "RelatedItem": "zoo: S3 Infrastructure for Regular and Irregular Time Series",
        "relationType": "isCompiledBy",
        "relatedItemIdentifierType": "DOI",
        "relatedItemIdentifier": "10.18637/jss.v014.i06"
    }
]
61 ind_never_use_internet method O Missing values 41.0 No method applied.
[
    {
        "RelatedItem": "dataobservaotry",
        "relatedItemType": "Software",
        "relationType": "isCompiledBy",
        "relatedItemIdentifier": "10.5281/zenodo.5034752",
        "relatedItemIdentifierType": "DOI"
    }
]
62 ind_never_use_internet obs_status A Normal value 447.0 To be used as default value if no value is provided or when no special coded qualification is assumed. Usually, it can be assumed that the source agency assigns sufficient confidence to the provided observation and/or the value is not expected to be dramatically revised.
[
    {
        "RelatedItem": "SDMX Code List for Observation Status",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?sdmx_news=new-version-of-code-list-for-observation-status-version-2-2/",
        "relatedItemIdentifierType": "URL"
    }
]
63 ind_never_use_internet obs_status E Estimated value 16.0 Observation obtained through an estimation methodology (e.g. to produce back-casts) or based on the use of a limited amount of data or ad hoc sampling and through additional calculations (e.g. to produce a value at an early stage of the production stage while not all data are available). It may also be used in case of experimental data (e.g. in the context of a pilot ahead of a full scale producti…
[
    {
        "RelatedItem": "SDMX Code List for Observation Status",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?sdmx_news=new-version-of-code-list-for-observation-status-version-2-2/",
        "relatedItemIdentifierType": "URL"
    }
]
64 ind_never_use_internet obs_status F Forecast value 168.0 Value deemed to assess the magnitude which a quantity will assume at some future point of time (as distinct from "estimated value" which attempts to assess the magnitude of an already existent quantity).
[
    {
        "RelatedItem": "SDMX Code List for Observation Status",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?sdmx_news=new-version-of-code-list-for-observation-status-version-2-2/",
        "relatedItemIdentifierType": "URL"
    }
]
65 ind_never_use_internet obs_status O Missing value 41.0 This code is to be used when no breakdown is made between the reasons why data are missing. Data can be missing due to many reasons: data cannot exist, data exist but are not collected (e.g. because they are below a certain threshold or subject to a derogation clause), data are unreliable, etc.
[
    {
        "RelatedItem": "SDMX Code List for Observation Status",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?sdmx_news=new-version-of-code-list-for-observation-status-version-2-2/",
        "relatedItemIdentifierType": "URL"
    }
]
66 ind_never_use_internet observations_actual gain Information gain 0.0 Actual observations in the observatory dataset (gained.)  
67 ind_never_use_internet observations_actual gain_pct Information gain (% increase) 0.0 Actual observations in the observatory dataset (% increase.)  
68 ind_never_use_internet observations_actual observatory Observatory (processed) dataset 447.0 Actual observations in the observatory (processed) dataset.  
69 ind_never_use_internet observations_actual source Source dataset 447.0 Actual observations in the source dataset.  
70 ind_never_use_internet observations_estimated gain Information gain 16.0 Estimated observations in the observatory dataset (gained.)  
71 ind_never_use_internet observations_estimated gain_pct Information gain (% increase) inf Estimated observations in the observatory dataset (% increase.)  
72 ind_never_use_internet observations_estimated observatory Observatory (processed) dataset 16.0 Estimated observations in the observatory (processed) dataset.  
73 ind_never_use_internet observations_estimated source Source dataset 0.0 Estimated observations in the source dataset.  
74 ind_never_use_internet observations_forecasted gain Information gain 168.0 NA observatory dataset (gained.)  
75 ind_never_use_internet observations_forecasted gain_pct Information gain (% increase) inf NA observatory dataset (% increase.)  
76 ind_never_use_internet observations_forecasted observatory Observatory (processed) dataset 168.0 NA observatory (processed) dataset.  
77 ind_never_use_internet observations_forecasted source Source dataset 0.0 NA source dataset.  
78 ind_never_use_internet observations_missing gain Information gain -16.0 Number of missing observations in the observatory dataset (gained.)  
79 ind_never_use_internet observations_missing gain_pct Information gain (% increase) -0.2807017543859649 Number of missing observations in the observatory dataset (% increase.)  
80 ind_never_use_internet observations_missing observatory Observatory (processed) dataset 41.0 Number of missing observations in the observatory (processed) dataset.  
81 ind_never_use_internet observations_missing source Source dataset 57.0 Number of missing observations in the source dataset.  
82 ind_never_use_internet observations_reduced gain Information gain 200.0 Total observations in the largest subset of the observatory dataset (gained.)  
83 ind_never_use_internet observations_reduced gain_pct Information gain (% increase) 0.5555555555555556 Total observations in the largest subset of the observatory dataset (% increase.)  
84 ind_never_use_internet observations_reduced observatory Observatory (processed) dataset 560.0 Total observations in the largest subset of the observatory (processed) dataset.  
85 ind_never_use_internet observations_reduced source Source dataset 360.0 Total observations in the largest subset of the source dataset.  
86 ind_never_use_internet observations_total gain Information gain 184.0 NA observatory dataset (gained.)  
87 ind_never_use_internet observations_total gain_pct Information gain (% increase) 0.4116331096196868 NA observatory dataset (% increase.)  
88 ind_never_use_internet observations_total observatory Observatory (processed) dataset 631.0 NA observatory (processed) dataset.  
89 ind_never_use_internet observations_total source Source dataset 447.0 NA source dataset.  
90 ind_never_use_internet time_periods_reduced gain Information gain 4.0 Time periods in the largest subset of the observatory dataset (gained.)  
91 ind_never_use_internet time_periods_reduced gain_pct Information gain (% increase) 0.33333333333333326 Time periods in the largest subset of the observatory dataset (% increase.)  
92 ind_never_use_internet time_periods_reduced observatory Observatory (processed) dataset 16.0 Time periods in the largest subset of the observatory (processed) dataset.  
93 ind_never_use_internet time_periods_reduced source Source dataset 12.0 Time periods in the largest subset of the source dataset.  
94 ind_never_use_internet unit PC_IND Percentage of individuals 16.0 Measured in percentage of individuals  
95 ind_never_use_internet unit PC_IND Percentage of individuals 14.0 Measured in percentage of individuals  
96 ind_never_use_internet unit PC_IND Percentage of individuals 11.0 Measured in percentage of individuals  
97 ind_never_use_internet unit PC_IND Percentage of individuals 13.0 Measured in percentage of individuals  
98 ind_never_use_internet unit PC_IND Percentage of individuals 8.0 Measured in percentage of individuals  
99 ind_never_use_internet unit PC_IND Percentage of individuals 7.0 Measured in percentage of individuals  
100 ind_daily_use_internet freq A Annual 672.0 To be used for data collected or disseminated every year
[
    {
        "RelatedItem": "ISO 8601 date and time format (correspondence table)",
        "relationType": "Cites",
        "relatedItemIdentifier": "https://www.iso.org/iso-8601-date-and-time-format.html",
        "relatedItemIdentifierType": "URL"
    },
    {
        "RelatedItem": "SDMX Code List for Frequency",
        "relationType": "IsDocumentedBy",
        "relatedItemIdentifier": "https://sdmx.org/?page_id=3215/",
        "relatedItemIdentifierType": "URL"
    }
]

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CREATE TABLE `codebook` (
  `dataset_code` TEXT,
  `var_name` TEXT,
  `id` TEXT,
  `name` TEXT,
  `count` REAL,
  `Description` TEXT,
  `RelatedItem` TEXT
);