Changes for page Guidelines on coding time transformations in SDMX
Last modified by Artur K. on 2026/05/29 14:28
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... ... @@ -96,7 +96,7 @@ 96 96 97 97 **Example:** 98 98 99 -|(% style="width:427px" %)**Year à**|(% style="width:230px" %)**2010**|(% style="width:365px" %)**2011**|(% style="width:386px" %)**2012**|(% style="width:322px" %)**2013**99 +|(% style="width:427px" %)**Year →**|(% style="width:230px" %)**2010**|(% style="width:365px" %)**2011**|(% style="width:386px" %)**2012**|(% style="width:322px" %)**2013** 100 100 |(% style="width:427px" %)**GDP Level**|(% style="width:230px" %)500|(% style="width:365px" %)505|(% style="width:386px" %)510|(% style="width:322px" %)505 101 101 |(% style="width:427px" %)**Growth rate, 102 102 period on period**|(% style="width:230px" %) |(% style="width:365px" %)0.0100|(% style="width:386px" %)0.0099|(% style="width:322px" %)-0.0098 ... ... @@ -107,7 +107,7 @@ 107 107 108 108 When looking at the formulas, you can see that the same parameters that are used to call a transformation service can be used to code the resulting series, which makes it very easy for data processing systems to ensure consistency between calculations and coding of results: 109 109 110 -|**Year à**|2011|(% rowspan="4" %)(((110 +|**Year →**|2011|(% rowspan="4" %)((( 111 111 **Transformed series:** 112 112 113 113 REF_YEAR → 2011 ... ... @@ -152,59 +152,58 @@ 152 152 153 153 Example for composite CL_TIMETRANS: 154 154 155 -|**Recommended code value**|**Recommended 156 -code description**|**Annotation** 157 -|N|Non transformed data| 158 -|A2|2-period moving average|Period on period 159 -|A3|3-period moving average| 160 -|A4|4-period moving average| 161 -|A6|6-period moving average| 162 -|A12|12-period moving average| 163 -|C3|3-period cumulated sum| 164 -|C4|4-period cumulated sum| 165 -|C6|6-period cumulated sum| 166 -|C12|12-period cumulated sum| 167 -|C16|16-period cumulated sum| 168 -|D2|Differences, period on period, first order| 169 -|DD|Differences, period on period, second order| 170 -|D4|Difference, period on 4 periods, first order| 171 -|F2|Growth rate, flow over stock, over two periods|Period on period 172 -|F3|Growth rate, flow over stock ,over 3 periods| 173 -|F4|Growth rate, flow over stock over 4 periods| 174 -|F6|Growth rate, flow over stock over 6 periods| 175 -|F12|Growth rate, flow over stock over 12 periods| 176 -|FO2|Contribution to growth rate, flow over stock, over two periods|Period on period 177 -|FO3|Contribution to growth rate, flow over stock, over 3 periods| 178 -|FO4|Contribution to growth rate, flow over stock, over 4 periods| 179 -|FO6|Contribution to growth rate, flow over stock, over 6 periods| 180 -|FO12|Contribution to growth rate, flow over stock, over 12 periods| 181 -|FO16|Contribution to growth rate, flow over stock, over 16 periods| 182 -|G2|Growth rate, over two periods|Period on period 183 -|G3|Growth rate over 3 periods| 184 -|**G4**|**Growth rate over 4 periods**| 185 -|G6|Growth rate over 6 periods| 186 -|G10|Growth rate, over 10 periods| 187 -|G12|Growth rate over 12 periods| 188 -|GR|Growth rate, over reference year| 189 -|GO2|Contribution to growth rate, over 2 periods|Period on period 190 -|GO3|Contribution to growth rate, over 3 periods| 191 -|GO4|Contribution to growth rate, over 4 periods| 192 -|GO6|Contribution to growth rate, over 6 periods| 193 -|GO12|Contribution to growth rate, over 12 periods| 194 -|LA|Annualised levels|This relates to stock versus flow series. For example, many countries publish their QNA at quarterly level, which means that annual GDP is the sum of the four quarters, whereas some countries publish their QNA at annual level (e.g. US), which means that annual GDP is the average of the four quarters. In order to present quarterly data in comparable levels across countries and to derive zone aggregates, quarterly data expressed at quarterly levels are “transformed” to annual levels (i.e. multiplied by four) and have this code. 195 -|G1Y|Growth rate, over 1 year| 196 -|F1Y|Growth rate, flow over stock, over 1 year| 197 -|D1Y|Difference, over 1 year| 198 -|G3Y|Growth rate, over 3 years| 199 -|G4Y|Growth rate, over 4 years| 200 -|GC5Y|Compound growth rate, over 5 years| 201 -|GC10Y|Compound growth rate, over 10 years| 202 -|GO1Y|Contribution to growth rate, over 1 year| 203 -|C1Y|Cumulated sum, over 1 year| 155 +|(% style="width:227px" %)**Recommended code value**|(% style="width:527px" %)**Recommended code description**|(% style="width:976px" %)**Annotation** 156 +|(% style="width:227px" %)N|(% style="width:527px" %)Non transformed data|(% style="width:976px" %) 157 +|(% style="width:227px" %)A2|(% style="width:527px" %)2-period moving average|(% style="width:976px" %)Period on period 158 +|(% style="width:227px" %)A3|(% style="width:527px" %)3-period moving average|(% style="width:976px" %) 159 +|(% style="width:227px" %)A4|(% style="width:527px" %)4-period moving average|(% style="width:976px" %) 160 +|(% style="width:227px" %)A6|(% style="width:527px" %)6-period moving average|(% style="width:976px" %) 161 +|(% style="width:227px" %)A12|(% style="width:527px" %)12-period moving average|(% style="width:976px" %) 162 +|(% style="width:227px" %)C3|(% style="width:527px" %)3-period cumulated sum|(% style="width:976px" %) 163 +|(% style="width:227px" %)C4|(% style="width:527px" %)4-period cumulated sum|(% style="width:976px" %) 164 +|(% style="width:227px" %)C6|(% style="width:527px" %)6-period cumulated sum|(% style="width:976px" %) 165 +|(% style="width:227px" %)C12|(% style="width:527px" %)12-period cumulated sum|(% style="width:976px" %) 166 +|(% style="width:227px" %)C16|(% style="width:527px" %)16-period cumulated sum|(% style="width:976px" %) 167 +|(% style="width:227px" %)D2|(% style="width:527px" %)Differences, period on period, first order|(% style="width:976px" %) 168 +|(% style="width:227px" %)DD|(% style="width:527px" %)Differences, period on period, second order|(% style="width:976px" %) 169 +|(% style="width:227px" %)D4|(% style="width:527px" %)Difference, period on 4 periods, first order|(% style="width:976px" %) 170 +|(% style="width:227px" %)F2|(% style="width:527px" %)Growth rate, flow over stock, over two periods|(% style="width:976px" %)Period on period 171 +|(% style="width:227px" %)F3|(% style="width:527px" %)Growth rate, flow over stock ,over 3 periods|(% style="width:976px" %) 172 +|(% style="width:227px" %)F4|(% style="width:527px" %)Growth rate, flow over stock over 4 periods|(% style="width:976px" %) 173 +|(% style="width:227px" %)F6|(% style="width:527px" %)Growth rate, flow over stock over 6 periods|(% style="width:976px" %) 174 +|(% style="width:227px" %)F12|(% style="width:527px" %)Growth rate, flow over stock over 12 periods|(% style="width:976px" %) 175 +|(% style="width:227px" %)FO2|(% style="width:527px" %)Contribution to growth rate, flow over stock, over two periods|(% style="width:976px" %)Period on period 176 +|(% style="width:227px" %)FO3|(% style="width:527px" %)Contribution to growth rate, flow over stock, over 3 periods|(% style="width:976px" %) 177 +|(% style="width:227px" %)FO4|(% style="width:527px" %)Contribution to growth rate, flow over stock, over 4 periods|(% style="width:976px" %) 178 +|(% style="width:227px" %)FO6|(% style="width:527px" %)Contribution to growth rate, flow over stock, over 6 periods|(% style="width:976px" %) 179 +|(% style="width:227px" %)FO12|(% style="width:527px" %)Contribution to growth rate, flow over stock, over 12 periods|(% style="width:976px" %) 180 +|(% style="width:227px" %)FO16|(% style="width:527px" %)Contribution to growth rate, flow over stock, over 16 periods|(% style="width:976px" %) 181 +|(% style="width:227px" %)G2|(% style="width:527px" %)Growth rate, over two periods|(% style="width:976px" %)Period on period 182 +|(% style="width:227px" %)G3|(% style="width:527px" %)Growth rate over 3 periods|(% style="width:976px" %) 183 +|(% style="width:227px" %)**G4**|(% style="width:527px" %)**Growth rate over 4 periods**|(% style="width:976px" %) 184 +|(% style="width:227px" %)G6|(% style="width:527px" %)Growth rate over 6 periods|(% style="width:976px" %) 185 +|(% style="width:227px" %)G10|(% style="width:527px" %)Growth rate, over 10 periods|(% style="width:976px" %) 186 +|(% style="width:227px" %)G12|(% style="width:527px" %)Growth rate over 12 periods|(% style="width:976px" %) 187 +|(% style="width:227px" %)GR|(% style="width:527px" %)Growth rate, over reference year|(% style="width:976px" %) 188 +|(% style="width:227px" %)GO2|(% style="width:527px" %)Contribution to growth rate, over 2 periods|(% style="width:976px" %)Period on period 189 +|(% style="width:227px" %)GO3|(% style="width:527px" %)Contribution to growth rate, over 3 periods|(% style="width:976px" %) 190 +|(% style="width:227px" %)GO4|(% style="width:527px" %)Contribution to growth rate, over 4 periods|(% style="width:976px" %) 191 +|(% style="width:227px" %)GO6|(% style="width:527px" %)Contribution to growth rate, over 6 periods|(% style="width:976px" %) 192 +|(% style="width:227px" %)GO12|(% style="width:527px" %)Contribution to growth rate, over 12 periods|(% style="width:976px" %) 193 +|(% style="width:227px" %)LA|(% style="width:527px" %)Annualised levels|(% style="width:976px" %)This relates to stock versus flow series. For example, many countries publish their QNA at quarterly level, which means that annual GDP is the sum of the four quarters, whereas some countries publish their QNA at annual level (e.g. US), which means that annual GDP is the average of the four quarters. In order to present quarterly data in comparable levels across countries and to derive zone aggregates, quarterly data expressed at quarterly levels are “transformed” to annual levels (i.e. multiplied by four) and have this code. 194 +|(% style="width:227px" %)G1Y|(% style="width:527px" %)Growth rate, over 1 year|(% style="width:976px" %) 195 +|(% style="width:227px" %)F1Y|(% style="width:527px" %)Growth rate, flow over stock, over 1 year|(% style="width:976px" %) 196 +|(% style="width:227px" %)D1Y|(% style="width:527px" %)Difference, over 1 year|(% style="width:976px" %) 197 +|(% style="width:227px" %)G3Y|(% style="width:527px" %)Growth rate, over 3 years|(% style="width:976px" %) 198 +|(% style="width:227px" %)G4Y|(% style="width:527px" %)Growth rate, over 4 years|(% style="width:976px" %) 199 +|(% style="width:227px" %)GC5Y|(% style="width:527px" %)Compound growth rate, over 5 years|(% style="width:976px" %) 200 +|(% style="width:227px" %)GC10Y|(% style="width:527px" %)Compound growth rate, over 10 years|(% style="width:976px" %) 201 +|(% style="width:227px" %)GO1Y|(% style="width:527px" %)Contribution to growth rate, over 1 year|(% style="width:976px" %) 202 +|(% style="width:227px" %)C1Y|(% style="width:527px" %)Cumulated sum, over 1 year|(% style="width:976px" %) 204 204 205 205 The use of codes like G3Y introduces redundancy in the code list. G3Y equals G36 for monthly data, G12 for quarterly data and G3 for annual data. Thus introducing such extensions should be well justified by solid use cases and DSD guidelines should explain which of the two possibilities (GxY or Gx) are preferred and why. Machine-to-machine queries, formulas, validation rules or coding templates may require mappings between those possibilities, taking into account both the frequency of a series and the transformation code. 206 206 207 -= Annex: coded examples = 206 += 4. Annex: coded examples = 208 208 209 209 The table below shows coding example using all 3 options lined out above. 210 210