EU Pollinator Hub

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Dataset Report
Unique identifier: BGDWP191.0.0
Title: B-GOOD WP4 Beekeeper Survey
Long title: Dataset from WP 4 of the B-GOOD project, containing data from a survey with beekeepers.
Status: Quality Validated
Current Version: v. 1.0
Published: 2025-03-17
Reviewed by: Rubinigg Michael as Data scientist
Citation proposal:
B-GOOD Bee Health Data Portal 2025 Report of dataset B-GOOD WP4 Beekeeper Survey, v. 1.0 [BGDWP191.0.0]. EU Pollinator Hub. [2026-02-24] app.pollinatorhub.eu
Compliance with FAIR* principles
Findable
Accessible
Interoperable
Reusable
See https://www.go-fair.org/fair-principles for more information about FAIR principles
Data Quality
Requires major revision

This document is intended for use by collaborators of the EU Pollinator Hub and may be passed on with the express permission of the leader of the consortium and for the purpose determined by the leader of the consortium.

Document history

Release

Version v. 1.0 released on 2025-03-17. Reviewed by Rubinigg Michael.

Revision

Table 1. List of revisions made to the document. Identifier of revision (No); date of revision (Date); description of revision (Description); reason for revision (Reason).
No Date Description Reason
1 2025-03-17 00:03:00 Initial release. n/a

Abbreviations

CSV
Comma-Separated Values
EU
European Union
EUPH
EU Pollinator Hub
UGENT
Universiteit Gent (Ghent University)

Executive summary

Data overview:

The data was published by van Verbeke W, Alves F, Williams JH (UGENT) on the B-GOOD Bee Health Data Portal as part of the B-GOOD project (grant agreement 817622), funded under the EU Horizon 2020 Research and Innovation Programme. It contains data from a survey with beekeepers.

Data value:

The objectives of the B-GOOD project were: (1) Facilitate decision making for beekeepers and other stakeholders by establishing ready-to-use tools for operationalising the HSI; (2) Test, standardise and validate methods for measuring and reporting selected indicators affecting bee health; (3) Explore the various socio-economic and ecological factors beyond bee health; (4) Foster an EU community to collect and share knowledge related to honey bees and their environment; (5) Engender a lasting learning and innovation system (LIS); (6) Minimise the impact of biotic and abiotic stressors.

Data description:

This dataset contains 4 tables: data (2.11 MB), attributes (3.61 KB), blocks (379.00 B), variables (58.51 KB).

Data application:

Currently, the data integrated from the B-GOOD Bee Health Data Portal contains major issues. The dataset requires revisions by the data provider.

Unresolved issues:

n/a

Introduction

n/a

Material and methods

Data acquisition

All raw data files were downloaded from the B-GOOD Bee Health Data Portal on 2024-09-23 11:47:37.

List of raw data obtained from the data provider.

  1. File B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf, accessed on 2024-09-23 11:47:37, provided by B-GOOD Bee Health Data Portal
  2. File B-GOOD WP4 Beekeeper Survey 2022.sav, accessed on 2024-09-23 11:47:37, provided by B-GOOD Bee Health Data Portal

Metadata was obtained from the dataset's web page.

Table 2. List of raw data and metadata files included in the dataset. Identifier of table row (No); name of the file (File); the type of the file (Type); file contains data (D); file contains metadata (M); date of upload of the file to the EU Pollinator Hub (Arrival); number of data points contained within the file (if applicable); uploaded file size.
No File Type D M Arrival Data points File size
1 B-GOOD WP4 Beekeeper Survey 2022-variables_PREP_MR_241028.csv CSV - Comma seperated values Yes No 2024-10-28 15:10:58 2,702 58.51 KiB
2 B-GOOD WP4 Beekeeper Survey 2022-blocks_PREP_MR_241028.csv CSV - Comma seperated values Yes No 2024-10-28 15:10:27 18 379.00 B
3 B-GOOD WP4 Beekeeper Survey 2022-attributes_PREP_MR_241028.csv CSV - Comma seperated values Yes No 2024-10-28 16:10:14 459 3.61 KiB
4 B-GOOD WP4 Beekeeper Survey 2022-data_PREP_MR_241028.csv CSV - Comma seperated values Yes No 2024-10-28 15:10:03 481,080 2.11 MiB
5 B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf Miscellaneous No Yes 2024-10-28 16:10:00 n/a 518.97 KiB

Data preparation

All files in the zip-archives were extracted using File Explorer (Microsoft Corporation, version 22H2).

  • File B-GOOD WP4 Beekeeper Survey 2022.sav was opened with IBM SPSS Statistics (Version 30.0.0.0 (127), IBM Corporation). Data file and variables were exported as separate CSV file. The data file was unpivoted using the Python script UnpivotToCsv.py. The variables file was procesed with MS Excel (Microsoft Corporation, version 2409) and the following information was added: The full text of a question in column question_long and the section to which a questions belong in column block, as provided in file B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf, the data type of the reported variable in column datatype and the identifier of a set of attriubutes, which can be selected by the interviewee in the various questions in column attribute_group. In addition the table blocks containing all sections of the survey and the table attributes containing a list of all attributes that can be selected by the interviewee was created in the various questions.

Data was then exported to the respective preparatory files and uploaded to the EU Pollinator Hub according to SOP-017 (Dataset integration.

Data validation

No data validation was performed.

Data analysis

No data analysis was performed.

Data description

Dataset

Table 3. Summary of tables belonging to the dataset. Table row identifier (No); name of the table (Table); description of the table (Description).
No Table Description
1 variables Table containing a description of the variables contained in the survey.
2 blocks Table containing a description of the sections into which the survey is divided.
3 attributes Table containing all sets of attriubutes, which can be selected by the interviewee in the various questionsof the survey.
4 data Table containing the results from the survey.
Table 4. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
interactions.single.uid BGDWP191.0.0
Title B-GOOD WP4 Beekeeper Survey
Long title Dataset from WP 4 of the B-GOOD project, containing data from a survey with beekeepers.
Target IRI https://app.pollinatorhub.eu/dataset-discovery/BGDWP191.0.0
interactions.single.section-details.licence CC BY-NC-ND 4.0
DOI n/a
Created 2024-10-28
Published 2025-03-17
Contact n/a
Keywords beekeeper, beekeeping, cross-sectional data, environment, hive monitoring technology, honeybee health, management, socio-economics, survey
Data collection years 2022
Regions, the data was collected in Belgique/België, Deutschland, España, France, Italia, Lietuva, Nederland, Polska, Portugal, România, Schweiz/Suisse/Svizzera, Slovenija, Suomi/Finland, Sverige, United Kingdom, Österreich, Česko, България 
Abstract

Dataset (SPSS format) from the B-GOOD WP4 survey with European beekeepers. Data were collected online using Qualtrics and the attached questionnaire in the period from October 2021 to January 2022. The survey addresses beekeepers' views on: socio-economics of beekeeping, beekeeping management, honey bee health, digital technology, orientation towards beekeeping, environmental quality, and hive monitoring technology. It was published by Verbeke W (UGENT) on the B-GOOD Bee Health Data Portal as part of the B-GOOD project (grant agreement 817622), funded under the EU Horizon 2020 Research and Innovation Programme.
Table 5. Standardised metadata of the data provider B-GOOD Bee Health Data Portal. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Name B-GOOD Bee Health Data Portal
Url
Acronym B-GOOD
IRI https://app.pollinatorhub.eu/data-providers/b-good-bee-health-data-portal
Address https://b-good-project.eu
Country Belgium
Contact b-good-project.eu
Description

Project funded by the EU Horizon 2020 Research and Innovation Programme under grant agreement No 817622. Project website: https://b-good-project.eu

Tables

variables

Table 6. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier BGDWP191.VRBLS451.0
Name variables
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP191.VRBLS451.0
Table Type File
Licence CC BY-NC-ND 4.0
Description

Table containing a description of the variables contained in the survey.

Table containing a description of the variables contained in the survey.

Metadata

  • Column attribute_group links to attributes.group
  • Column blocks links to blocks.block
Table 7. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Column Description Datatype Descriptor Unit
variable

Identifier of the variable referring to a specific question in the questionnaire.

 String Text [0.0.TEXTA315]

n/a
datatype_result

Not specified by the data provider. Presumably datatype expected as user input in the application where the results of the questionnaire are analysed.

 String Text [0.0.TEXTA315]

n/a
width

Not specified by the data provider. Presumably size reserved for the variable in the application where the results of the questionnaire are analysed.

 Integer number Integer [0.0.NTGER313]

n/a
decimal

Not specified by the data provider. Presumably number of decimal places reserved for the variable in the application where the results of the questionnaire are analysed.

 Integer number Integer [0.0.NTGER313]

n/a
question_short

Short version of the question.

 String Text [0.0.TEXTA315]

n/a
missing

Not specified by the data provider.

 String Text [0.0.TEXTA315]

n/a
columns

Not specified by the data provider.

 Integer number Integer [0.0.NTGER313]

n/a
alignment

Not specified by the data provider.

 String Text [0.0.TEXTA315]

n/a
system_of_measurement

Not specified by the data provider. Presumalby teh system of measurement in which data is provided.

 String Text [0.0.TEXTA315]

n/a
role

Not specified by the data provider.

 String Text [0.0.TEXTA315]

n/a
question_long

Full text of a question, as provided in file B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf

 String Text [0.0.TEXTA315]

n/a
block

Section to which a quation belongs, as provided in file B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf

 String Text [0.0.TEXTA315]

n/a
datatype

Data type of the reported variable in table data.

 String Text [0.0.TEXTA315]

n/a
attribute_group

Identifier of a set of attriubutes, which can be selected by the interviewee in the various questions, stored in table attributes.

 Integer number Integer [0.0.NTGER313]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 8. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
variable 0 - 15 n/a A_1 n/a n/a n/a Intro_5 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 192 ( 99.5% )
datatype_result 0 - 12 n/a n/a n/a n/a Zeichenfolge 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
width 1 - 4 213.9 4 40 40 40 2,000 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
decimal 1 - 1 0.2 0 0 0 0 2 193 2 ( 1.0% ) 176 ( 91.2% ) 0 ( 0.0% ) 3 ( 1.6% )
question_short 0 - 368 n/a n/a n/a n/a What were yo… 193 3 ( 1.6% ) 0 ( 0.0% ) 0 ( 0.0% ) 191 ( 99.0% )
missing 0 - 4 n/a n/a n/a n/a Ohne 193 2 ( 1.0% ) 1 ( 0.5% ) 1 ( 0.5% ) 6 ( 3.1% )
columns 1 - 2 6.1 5 5 5 5 17 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
alignment 0 - 6 n/a n/a n/a n/a Rechts 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
system_of_measurement 0 - 8 n/a n/a n/a n/a Metrisch 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
role 0 - 7 n/a n/a n/a n/a Eingabe 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.0% )
question_long 0 - 572 n/a n/a n/a n/a To what exte… 193 4 ( 2.1% ) 0 ( 0.0% ) 0 ( 0.0% ) 189 ( 97.9% )
block 0 - 5 n/a n/a n/a n/a Intro 193 4 ( 2.1% ) 0 ( 0.0% ) 0 ( 0.0% ) 10 ( 5.2% )
datatype 0 - 7 n/a n/a n/a n/a decimal 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
attribute_group 1 - 2 18.0 1 8 20 25 36 193 36 ( 18.7% ) 0 ( 0.0% ) 0 ( 0.0% ) 37 ( 19.2% )

Quality measures

Table 9. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
variable
98.96%
99.48%
n/a ID
datatype_result
98.96%
1.55%
Numerisch null
width
98.96%
2.59%
40 4
decimal
98.96%
1.55%
0 null
question_short
98.45%
98.96%
null I have read and understood the “Information sheet for the participants”, page 1 to page 2, and I have received a copy of this document. I have been informed of the nature of the study, its purpose, its duration and what is expected of me.
missing
98.96%
3.11%
Ohne 3
columns
98.96%
2.59%
5 17
alignment
98.96%
1.55%
Rechts null
system_of_measurement
98.96%
1.55%
Metrisch null
role
98.96%
1.04%
Eingabe null
question_long
97.93%
97.93%
null I have read and understood the “Information sheet for the participants”, page 1 to page 2, and I have received a copy of this document. I have been informed of the nature of the study, its purpose, its duration and what is expected of me.
block
97.93%
5.18%
A Intro
datatype
98.96%
2.59%
list integer
attribute_group
81.35%
19.17%
null 29

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

blocks

Table 10. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier BGDWP191.BLCKS453.0
Name blocks
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP191.BLCKS453.0
Table Type File
Licence CC BY-NC-ND 4.0
Description

Table containing a description of the sections into which the survey is divided.

Table containing a description of the sections into which the survey is divided.

Metadata

n/a
Table 11. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Column Description Datatype Descriptor Unit
block

Identifier of a section to which a questions associated with a variable in table data belongs.

 String Text [0.0.TEXTA315]

n/a
name

Name of a section to which a questions associated with a variable in table data belongs.

 String Text [0.0.TEXTA315]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 12. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
block 1 - 5 n/a A n/a n/a n/a Intro 9 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 100.0% )
name 24 - 61 n/a Block D: Hon… n/a n/a n/a Confirmation… 9 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 100.0% )

Quality measures

Table 13. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
block
100.00%
100.00%
Intro Intro
name
100.00%
100.00%
Confirmation of informed consent and agreement to participate Confirmation of informed consent and agreement to participate

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

attributes

Table 14. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier BGDWP191.TTRBT455.0
Name attributes
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP191.TTRBT455.0
Table Type File
Licence CC BY-NC-ND 4.0
Description

Table containing all sets of attriubutes, which can be selected by the interviewee in the various questionsof the survey.

Table containing all sets of attriubutes, which can be selected by the interviewee in the various questionsof the survey.

Metadata

n/a
Table 15. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Column Description Datatype Descriptor Unit
group

Identifier of the set of attributes belonging to the same variable in table data.

 Integer number Integer [0.0.NTGER313]

n/a
value

Value saved for a given variable in table data.

 Decimal number DecimalNumber [0.0.DCMLN314]

n/a
attribute

Attribute describing the value of a given variable.

 String Text [0.0.TEXTA315]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 16. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
group 1 - 2 13.7 1 4 13 22.5 36 153 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 36 ( 23.5% )
value 1 - 4 4.987 0 2 3 5 29 153 0 ( 0.0% ) 1 ( 0.7% ) 0 ( 0.0% ) 34 ( 22.2% )
attribute 2 - 116 n/a No n/a n/a n/a No, please c… 153 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 136 ( 88.9% )

Quality measures

Table 17. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
group
100.00%
23.53%
2 30
value
100.00%
22.22%
1 8
attribute
100.00%
88.89%
Yes Austria

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

None

data

Table 18. Standardised metadata of the dataset. Reported parameter (Parameter); content of the parameter (Content).
Parameter Content
Unique identifier BGDWP191.DATAA457.0
Name data
Target IRI https://app.pollinatorhub.eu/dataset-discovery/parts/BGDWP191.DATAA457.0
Table Type File
Licence CC BY-NC-ND 4.0
Description

Table containing the results from the survey.

Table containing the results from the survey.

Metadata

  • column variable links to column variables.variable
  • column variable links to column variables.variable and column variables.attribute_group links to attributes.group
  • column value links to column attributes.value
Table 19. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Column Description Datatype Descriptor Unit
ID

Identifier of the individual responding to the questionnaire.

 Integer number Integer [0.0.NTGER313]

n/a
variable

Variable to which the individual responded in the questionnaire.

 String Text [0.0.TEXTA315]

n/a
value

Value of the variable to which the individual responded in the questionnaire.

 String Text [0.0.TEXTA315]

n/a

Metadata of individual tables can be found in Annex 1.

Descriptive measures

Table 20. Content analysis of the table. Column name (Name); range of length of characters (Length); arithmetic mean of values in column (Mean); lowest value in column (Min); first quartile of values in column (Q1); median of values in column (Median); third quartile of values in column (Q3); highest value in column (Max); number of records (Total); number and percentage (between brackets) of all values containing NULL (Missing), the value 0 (Zero), exclusively blank characters (Blank), and of distinct values including NULL, Zero and blank (Distinct).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
ID 1 - 3 422.5 1 211.25 422.5 633.75 844 160,360 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 844 ( 0.5% )
variable 3 - 15 n/a G_4 n/a n/a n/a European_reg… 160,360 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 190 ( 0.1% )
value 0 - 262 n/a n/a n/a n/a nie zakup w… 160,360 12,242 ( 7.6% ) 6,739 ( 4.2% ) 0 ( 0.0% ) 2,052 ( 1.3% )

Quality measures

Table 21. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
ID
100.00%
0.53%
1 1
variable
100.00%
0.12%
Intro_3 Intro_3
value
92.37%
1.28%
2 van smoker hivetools queenclips queencages

Changes made to preparatory file

None

Changes made to data

None

Unresolved issues

  1. In column E_1_3 where ID = {821} the value is {3}, which is not part of the list of attributes. This issue must be resolved by the data provider.
  2. In column E_1_4 where ID = {821} the value is {3}, which is not part of the list of attributes. This issue must be resolved by the data provider.
  3. In column E_1_5 where ID = {821} the value is {3}, which is not part of the list of attributes. This issue must be resolved by the data provider.
  4. In column H_2_1 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  5. In column H_2_2 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  6. In column H_2_3 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  7. In column H_2_4 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  8. In column H_2_5 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  9. In column H_2_6 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  10. In column H_2_7 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  11. In column H_2_8 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  12. In column H_2_9 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  13. In column H_2_10 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  14. In column H_2_11 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  15. In column H_2_12 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.
  16. In column H_2_13 there are several records that contain the value {6}, which is not contained in the attribute list. This issue must be resolved by the data provider.

References

  1. Verbeke W. 2024 B-GOOD WP4 Beekeeper Survey 2022. B-GOOD Bee Health Data Portal. [2024-10-28] beehealthdata.org

Annex 1: Table column reports

Table: variables

Column: variable

Table 22. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name variable
Description

Identifier of the variable referring to a specific question in the questionnaire.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 23. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
variable 0 - 15 n/a A_1 n/a n/a n/a Intro_5 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 192 ( 99.5% )
Table 24. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
variable
98.96%
99.48%
n/a ID

Completeness

Figure 1. Visualization of completeness of the data in the column.

Uniqueness

Figure 2. Visualization of uniqueness of the data in the column.

Column: datatype_result

Table 25. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name datatype_result
Description

Not specified by the data provider. Presumably datatype expected as user input in the application where the results of the questionnaire are analysed.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 26. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
datatype_result 0 - 12 n/a n/a n/a n/a Zeichenfolge 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
Table 27. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
datatype_result
98.96%
1.55%
Numerisch null

Data Distribution Top 20

Figure 3. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 4. Visualization of completeness of the data in the column.

Uniqueness

Figure 5. Visualization of uniqueness of the data in the column.

Column: width

Table 28. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name width
Description

Not specified by the data provider. Presumably size reserved for the variable in the application where the results of the questionnaire are analysed.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 29. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
width 1 - 4 213.9 4 40 40 40 2,000 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
Table 30. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
width
98.96%
2.59%
40 4

Data Distribution Top 20

Figure 6. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 7. Distribution of values in the column.

Outliers

Figure 8. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 9. Visualization of completeness of the data in the column.

Uniqueness

Figure 10. Visualization of uniqueness of the data in the column.

Column: decimal

Table 31. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name decimal
Description

Not specified by the data provider. Presumably number of decimal places reserved for the variable in the application where the results of the questionnaire are analysed.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 32. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
decimal 1 - 1 0.2 0 0 0 0 2 193 2 ( 1.0% ) 176 ( 91.2% ) 0 ( 0.0% ) 3 ( 1.6% )
Table 33. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
decimal
98.96%
1.55%
0 null

Data Distribution Top 20

Figure 11. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 12. Distribution of values in the column.

Completeness

Figure 13. Visualization of completeness of the data in the column.

Uniqueness

Figure 14. Visualization of uniqueness of the data in the column.

Column: question_short

Table 34. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name question_short
Description

Short version of the question.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 35. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
question_short 0 - 368 n/a n/a n/a n/a What were yo… 193 3 ( 1.6% ) 0 ( 0.0% ) 0 ( 0.0% ) 191 ( 99.0% )
Table 36. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
question_short
98.45%
98.96%
null I have read and understood the “Information sheet for the participants”, page 1 to page 2, and I have received a copy of this document. I have been informed of the nature of the study, its purpose, its duration and what is expected of me.

Completeness

Figure 15. Visualization of completeness of the data in the column.

Uniqueness

Figure 16. Visualization of uniqueness of the data in the column.

Column: missing

Table 37. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name missing
Description

Not specified by the data provider.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 38. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
missing 0 - 4 n/a n/a n/a n/a Ohne 193 2 ( 1.0% ) 1 ( 0.5% ) 1 ( 0.5% ) 6 ( 3.1% )
Table 39. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
missing
98.96%
3.11%
Ohne 3

Data Distribution Top 20

Figure 17. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 18. Visualization of completeness of the data in the column.

Uniqueness

Figure 19. Visualization of uniqueness of the data in the column.

Column: columns

Table 40. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name columns
Description

Not specified by the data provider.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 41. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
columns 1 - 2 6.1 5 5 5 5 17 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
Table 42. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
columns
98.96%
2.59%
5 17

Data Distribution Top 20

Figure 20. Distribution of 20 most common values, from highest to lowest.

Continuous Data Distribution

Figure 21. Distribution of values in the column.

Outliers

Figure 22. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 23. Visualization of completeness of the data in the column.

Uniqueness

Figure 24. Visualization of uniqueness of the data in the column.

Column: alignment

Table 43. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name alignment
Description

Not specified by the data provider.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 44. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
alignment 0 - 6 n/a n/a n/a n/a Rechts 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
Table 45. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
alignment
98.96%
1.55%
Rechts null

Data Distribution Top 20

Figure 25. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 26. Visualization of completeness of the data in the column.

Uniqueness

Figure 27. Visualization of uniqueness of the data in the column.

Column: system_of_measurement

Table 46. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name system_of_measurement
Description

Not specified by the data provider. Presumalby teh system of measurement in which data is provided.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 47. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
system_of_measurement 0 - 8 n/a n/a n/a n/a Metrisch 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 3 ( 1.6% )
Table 48. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
system_of_measurement
98.96%
1.55%
Metrisch null

Data Distribution Top 20

Figure 28. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 29. Visualization of completeness of the data in the column.

Uniqueness

Figure 30. Visualization of uniqueness of the data in the column.

Column: role

Table 49. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name role
Description

Not specified by the data provider.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 50. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
role 0 - 7 n/a n/a n/a n/a Eingabe 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 2 ( 1.0% )
Table 51. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
role
98.96%
1.04%
Eingabe null

Data Distribution Top 20

Figure 31. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 32. Visualization of completeness of the data in the column.

Uniqueness

Figure 33. Visualization of uniqueness of the data in the column.

Column: question_long

Table 52. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name question_long
Description

Full text of a question, as provided in file B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 53. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
question_long 0 - 572 n/a n/a n/a n/a To what exte… 193 4 ( 2.1% ) 0 ( 0.0% ) 0 ( 0.0% ) 189 ( 97.9% )
Table 54. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
question_long
97.93%
97.93%
null I have read and understood the “Information sheet for the participants”, page 1 to page 2, and I have received a copy of this document. I have been informed of the nature of the study, its purpose, its duration and what is expected of me.

Completeness

Figure 34. Visualization of completeness of the data in the column.

Uniqueness

Figure 35. Visualization of uniqueness of the data in the column.

Column: block

Table 55. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name block
Description

Section to which a quation belongs, as provided in file B-GOOD WP4 Beekeeper Survey 2022 Questionnaire Master English version.pdf
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 56. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
block 0 - 5 n/a n/a n/a n/a Intro 193 4 ( 2.1% ) 0 ( 0.0% ) 0 ( 0.0% ) 10 ( 5.2% )
Table 57. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
block
97.93%
5.18%
A Intro

Data Distribution Top 20

Figure 36. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 37. Visualization of completeness of the data in the column.

Uniqueness

Figure 38. Visualization of uniqueness of the data in the column.

Column: datatype

Table 58. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name datatype
Description

Data type of the reported variable in table data.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 59. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
datatype 0 - 7 n/a n/a n/a n/a decimal 193 2 ( 1.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 5 ( 2.6% )
Table 60. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
datatype
98.96%
2.59%
list integer

Data Distribution Top 20

Figure 39. Distribution of 20 most common values, from highest to lowest.

Completeness

Figure 40. Visualization of completeness of the data in the column.

Uniqueness

Figure 41. Visualization of uniqueness of the data in the column.

Column: attribute_group

Table 61. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name attribute_group
Description

Identifier of a set of attriubutes, which can be selected by the interviewee in the various questions, stored in table attributes.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 62. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
attribute_group 1 - 2 18.0 1 8 20 25 36 193 36 ( 18.7% ) 0 ( 0.0% ) 0 ( 0.0% ) 37 ( 19.2% )
Table 63. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
attribute_group
81.35%
19.17%
null 29

Continuous Data Distribution

Figure 42. Distribution of values in the column.

Outliers

Figure 43. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 44. Visualization of completeness of the data in the column.

Uniqueness

Figure 45. Visualization of uniqueness of the data in the column.

Table: blocks

Column: block

Table 64. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name block
Description

Identifier of a section to which a questions associated with a variable in table data belongs.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 65. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
block 1 - 5 n/a A n/a n/a n/a Intro 9 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 100.0% )
Table 66. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
block
100.00%
100.00%
Intro Intro

Completeness

Figure 46. Visualization of completeness of the data in the column.

Uniqueness

Figure 47. Visualization of uniqueness of the data in the column.

Column: name

Table 67. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name name
Description

Name of a section to which a questions associated with a variable in table data belongs.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 68. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
name 24 - 61 n/a Block D: Hon… n/a n/a n/a Confirmation… 9 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 9 ( 100.0% )
Table 69. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
name
100.00%
100.00%
Confirmation of informed consent and agreement to participate Confirmation of informed consent and agreement to participate

Completeness

Figure 48. Visualization of completeness of the data in the column.

Uniqueness

Figure 49. Visualization of uniqueness of the data in the column.

Table: attributes

Column: group

Table 70. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name group
Description

Identifier of the set of attributes belonging to the same variable in table data.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 71. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
group 1 - 2 13.7 1 4 13 22.5 36 153 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 36 ( 23.5% )
Table 72. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
group
100.00%
23.53%
2 30

Continuous Data Distribution

Figure 50. Distribution of values in the column.

Outliers

Figure 51. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 52. Visualization of completeness of the data in the column.

Uniqueness

Figure 53. Visualization of uniqueness of the data in the column.

Column: value

Table 73. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name value
Description

Value saved for a given variable in table data.
Data type Decimal number
Descriptor DecimalNumber [UID:0.0.DCMLN314]
Descriptor description

Any of the rational or irrational numbers.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.DCMLN314
Unit

n/a
Table 74. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
value 1 - 4 4.987 0 2 3 5 29 153 0 ( 0.0% ) 1 ( 0.7% ) 0 ( 0.0% ) 34 ( 22.2% )
Table 75. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
value
100.00%
22.22%
1 8

Continuous Data Distribution

Figure 54. Distribution of values in the column.

Outliers

Figure 55. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 56. Visualization of completeness of the data in the column.

Uniqueness

Figure 57. Visualization of uniqueness of the data in the column.

Column: attribute

Table 76. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name attribute
Description

Attribute describing the value of a given variable.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 77. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
attribute 2 - 116 n/a No n/a n/a n/a No, please c… 153 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 136 ( 88.9% )
Table 78. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
attribute
100.00%
88.89%
Yes Austria

Completeness

Figure 58. Visualization of completeness of the data in the column.

Uniqueness

Figure 59. Visualization of uniqueness of the data in the column.

Table: data

Column: ID

Table 79. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name ID
Description

Identifier of the individual responding to the questionnaire.
Data type Integer number
Descriptor Integer [UID:0.0.NTGER313]
Descriptor description

A number with no fractional part, including the negative and positive numbers as well as zero.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.NTGER313
Unit

n/a
Table 80. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
ID 1 - 3 422.5 1 211.25 422.5 633.75 844 160,360 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 844 ( 0.5% )
Table 81. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
ID
100.00%
0.53%
1 1

Continuous Data Distribution

Figure 60. Distribution of values in the column.

Outliers

Figure 61. Visualization of median, min, max, and outliers in the column.

Completeness

Figure 62. Visualization of completeness of the data in the column.

Uniqueness

Figure 63. Visualization of uniqueness of the data in the column.

Column: variable

Table 82. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name variable
Description

Variable to which the individual responded in the questionnaire.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 83. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
variable 3 - 15 n/a G_4 n/a n/a n/a European_reg… 160,360 0 ( 0.0% ) 0 ( 0.0% ) 0 ( 0.0% ) 190 ( 0.1% )
Table 84. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
variable
100.00%
0.12%
Intro_3 Intro_3

Data Distribution Top 20

Figure 64. Distribution of 20 most common values, from highest to lowest.

Data Distribution Bottom 20

Figure 65. Distribution of 20 least common values, from lowest to highest.

Completeness

Figure 66. Visualization of completeness of the data in the column.

Uniqueness

Figure 67. Visualization of uniqueness of the data in the column.

Column: value

Table 85. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Parameter Content
Column name value
Description

Value of the variable to which the individual responded in the questionnaire.
Data type String
Descriptor Text [UID:0.0.TEXTA315]
Descriptor description

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.
Descriptor target IRI https://app.pollinatorhub.eu/vocabulary/descriptors/0.0.TEXTA315
Unit

n/a
Table 86. Structural analysis of the table. Column name (Name); concise description of the column (Description); data type in which values are stored (Data type); EUPH-Descriptor (Descriptor); unit in which the values are provided (Unit).
Column Name Range Mean Minimum Q1 Median Q3 Maximum Total Missing Zero Blank Distinct
value 0 - 262 n/a n/a n/a n/a nie zakup w… 160,360 12,242 ( 7.6% ) 6,739 ( 4.2% ) 0 ( 0.0% ) 2,052 ( 1.3% )
Table 87. Quality analysis of the table. Column name (Name); completeness of the column (Completeness); uniqueness of the column (Uniqueness); most common value in the column (Most Common Value); least common value in the column (Least Common Value).
Column Name Completeness Uniqueness Most Common Value Least Common Value
value
92.37%
1.28%
2 van smoker hivetools queenclips queencages

Completeness

Figure 68. Visualization of completeness of the data in the column.

Uniqueness

Figure 69. Visualization of uniqueness of the data in the column.