File formats - Revision history

Nils Duepont: /* Mandatory columns for the dyadic data template */

2024-11-29T10:46:42Z

Mandatory columns for the dyadic data template

← Older revision		Revision as of 10:46, 29 November 2024
Line 125:		Line 125:
	\|}		\|}

	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as <code>scale</code>.

	<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.		<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

Nils Duepont: /* Mandatory columns for the monadic data template */

2024-11-29T10:46:32Z

Mandatory columns for the monadic data template

← Older revision		Revision as of 10:46, 29 November 2024
Line 73:		Line 73:
	\|}		\|}

	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as <code>scale</code>.

	<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.		<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

Nils Duepont: /* Mandatory columns for the dyadic data template */

2024-11-29T10:46:01Z

Mandatory columns for the dyadic data template

← Older revision		Revision as of 10:46, 29 November 2024
Line 96:		Line 96:
	\|value\|\|7\|\|yes\|\|Numeric, string or date time\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].		\|value\|\|7\|\|yes\|\|Numeric, string or date time\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].
	\|-		\|-
	\|user_na_values\|\|8\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. [[Missing_values\|Certain codes]] are strongly recommended, though. The default is a blank cell/column.		\|user_na_values\|\|8\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]] . [[Missing_values\|Certain codes]] are strongly recommended, though, and the values have to be of the same type as <code>value</code>. The default is a blank cell/column.
	\|-		\|-
	\|unit\|\|9\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)		\|unit\|\|9\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)

Nils Duepont: /* Mandatory columns for the monadic data template */

2024-11-29T10:45:28Z

Mandatory columns for the monadic data template

← Older revision		Revision as of 10:45, 29 November 2024
Line 44:		Line 44:
	\|value\|\|5\|\|yes\|\|Numeric, string or date\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].		\|value\|\|5\|\|yes\|\|Numeric, string or date\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].
	\|-		\|-
	\|user_na_values\|\|6\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. [[Missing_values\|Certain codes]] are strongly recommended, though. The default is a blank cell/column.		\|user_na_values\|\|6\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]] . [[Missing_values\|Certain codes]] are strongly recommended, though, and the values have to be of the same type as <code>value</code>. The default is a blank cell/column.
	\|-		\|-
	\|unit\|\|7\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)		\|unit\|\|7\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)

Nils Duepont: /* Mandatory columns for the dyadic data template */

2024-09-12T18:11:41Z

Mandatory columns for the dyadic data template

← Older revision		Revision as of 18:11, 12 September 2024
Line 96:		Line 96:
	\|value\|\|7\|\|yes\|\|Numeric, string or date time\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].		\|value\|\|7\|\|yes\|\|Numeric, string or date time\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].
	\|-		\|-
	\|user_na_values\|\|8\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|~~Use~~ an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. The default is a blank cell/column.		\|user_na_values\|\|8\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. [[Missing_values\|Certain codes]] are strongly recommended, though. The default is a blank cell/column.
	\|-		\|-
	\|unit\|\|9\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)		\|unit\|\|9\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)

Nils Duepont: /* Mandatory columns for the monadic data template */

2024-09-12T18:11:10Z

Mandatory columns for the monadic data template

← Older revision		Revision as of 18:11, 12 September 2024
Line 44:		Line 44:
	\|value\|\|5\|\|yes\|\|Numeric, string or date\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].		\|value\|\|5\|\|yes\|\|Numeric, string or date\|\|The actual value of the indicator\|\|Always use the dot (.) as the decimal separator for numeric data. For dates follow the [[Coding_rules\|date time format]].
	\|-		\|-
	\|user_na_values\|\|6\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|~~Use~~ an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. The default is a blank cell/column.		\|user_na_values\|\|6\|\|yes\|\|Symbol\|\|Flag for "missing data"\|\|In principle, you can use an exclamation mark (!) to flag any value(s) as [[File_upload_guide#Uploading_.22missing.22_or_N.2FA_values\|"missing data"]]. [[Missing_values\|Certain codes]] are strongly recommended, though. The default is a blank cell/column.
	\|-		\|-
	\|unit\|\|7\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)		\|unit\|\|7\|\|yes\|\|String\|\|The unit of ''value''\|\|For dates the unit is "date", otherwise name the actual unit of the value (e.g. "per 1000 inhabitants", "as % of GDP" etc.)

Nils Duepont: /* Mandatory columns for the dyadic data template */

2024-06-11T09:38:38Z

Mandatory columns for the dyadic data template

← Older revision		Revision as of 09:38, 11 June 2024
Line 127:		Line 127:
	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.

	<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is ~~mandatory~~ to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.		<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

	== Misc ==		== Misc ==

Nils Duepont: /* Mandatory columns for the monadic data template */

2024-06-11T09:38:32Z

Mandatory columns for the monadic data template

← Older revision		Revision as of 09:38, 11 June 2024
Line 75:		Line 75:
	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.

	<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is ~~mandatory~~ to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.		<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is recommended to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

	== Mandatory columns for the dyadic data template ==		== Mandatory columns for the dyadic data template ==

Nils Duepont: /* Mandatory columns for the dyadic data template */

2024-06-11T07:55:49Z

Mandatory columns for the dyadic data template

← Older revision		Revision as of 07:55, 11 June 2024
Line 122:		Line 122:
	*Yes, due to limited sources		*Yes, due to limited sources
	*Yes, due to contradicting sources		*Yes, due to contradicting sources
	*Other		*Other<sup>2</sup>
	\|}		\|}

	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.

			<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is mandatory to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

	== Misc ==		== Misc ==

Nils Duepont: /* Mandatory columns for the monadic data template */

2024-06-11T07:55:00Z

Mandatory columns for the monadic data template

← Older revision		Revision as of 07:55, 11 June 2024
Line 70:		Line 70:
	*Yes, due to limited sources		*Yes, due to limited sources
	*Yes, due to contradicting sources		*Yes, due to contradicting sources
	*Other		*Other<sup>2</sup>
	\|}		\|}

	<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.		<sup>1</sup> Note that binary is used as a strict boolean type with allowed values of <code>0/1</code> or <code>true/false</code>; if you have a binary indicator but want to use "user-defined missing values", you have to choose "Multinomial" as scale.

			<sup>2</sup> If multiple concerns are raised for the focal value, only the most prevalent one is coded. If you choose "Other" as the response, it is mandatory to provide an explanation in the [[Optional_column_names\|optional column]] <code>comment</code>.

	== Mandatory columns for the dyadic data template ==		== Mandatory columns for the dyadic data template ==