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Fix labels for development assistance donor figures

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Marty Oehme 2022-09-06 17:58:07 +02:00
parent 175d1be4d8
commit 2bd5f63b0d
Signed by: Marty
GPG key ID: B7538B8F50A1C800
5 changed files with 69 additions and 69 deletions
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2
_drivers-of-inequality-benin.qmd
View file

@ -174,7 +174,7 @@ fig = px.line(donortotals_grouped, x='Year', y='Value', color='Donortype', label
fig.show()
```
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac), bilateral non-DAC countries (nondac) and multilateral donors (multilateral), as constant currency (2020 corrected) USD millions.
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac) and multilateral donors (mlt), as constant currency (2020 corrected) USD millions.
Source: Author's elaboration based on OECD ODA CRS (2022).
The total amount of development aid for Benin registered by the OECD Creditor Reporting System,

2
_drivers-of-inequality-djibouti.qmd
View file

@ -175,7 +175,7 @@ fig = px.line(donortotals_grouped, x='Year', y='Value', color='Donortype', label
fig.show()
```
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac), bilateral non-DAC countries (nondac) and multilateral donors (multilateral), as constant currency (2020 corrected) USD millions.
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac) and multilateral donors (mlt), as constant currency (2020 corrected) USD millions.
Source: Author's elaboration based on OECD ODA CRS (2022).
```{python}

2
_drivers-of-inequality-uganda.qmd
View file

@ -207,7 +207,7 @@ fig = px.line(donortotals_grouped, x='Year', y='Value', color='Donortype', label
fig.show()
```
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac), bilateral non-DAC countries (nondac) and multilateral donors (multilateral), as constant currency (2020 corrected) USD millions.
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac) and multilateral donors (mlt), as constant currency (2020 corrected) USD millions.
Source: Author's elaboration based on OECD ODA CRS (2022).
```{python}

2
_drivers-of-inequality-vietnam.qmd
View file

@ -230,7 +230,7 @@ fig = px.line(donortotals_grouped, x='Year', y='Value', color='Donortype', label
fig.show()
```
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac), bilateral non-DAC countries (nondac) and multilateral donors (multilateral), as constant currency (2020 corrected) USD millions.
Note: Values shown are for all Official Development Assistance flows valid under the OECD ODA data, split into bilateral development donor countries (dac) and multilateral donors (mlt), as constant currency (2020 corrected) USD millions.
Source: Author's elaboration based on OECD ODA CRS (2022).
```{python}

130
data-prep.qmd
View file

@ -95,71 +95,71 @@ donortypes = {
801: 'dac',
820: 'dac',
918: 'dac',
104: 'multilat',
807: 'multilat',
811: 'multilat',
812: 'multilat',
901: 'multilat',
902: 'multilat',
903: 'multilat',
905: 'multilat',
906: 'multilat',
907: 'multilat',
909: 'multilat',
913: 'multilat',
914: 'multilat',
915: 'multilat',
921: 'multilat',
923: 'multilat',
926: 'multilat',
928: 'multilat',
932: 'multilat',
940: 'multilat',
944: 'multilat',
948: 'multilat',
951: 'multilat',
952: 'multilat',
953: 'multilat',
954: 'multilat',
956: 'multilat',
958: 'multilat',
959: 'multilat',
960: 'multilat',
963: 'multilat',
964: 'multilat',
966: 'multilat',
967: 'multilat',
971: 'multilat',
974: 'multilat',
976: 'multilat',
978: 'multilat',
979: 'multilat',
980: 'multilat',
981: 'multilat',
982: 'multilat',
983: 'multilat',
988: 'multilat',
990: 'multilat',
992: 'multilat',
997: 'multilat',
1011: 'multilat',
1012: 'multilat',
1013: 'multilat',
1014: 'multilat',
1015: 'multilat',
1016: 'multilat',
1017: 'multilat',
1018: 'multilat',
1019: 'multilat',
1020: 'multilat',
1023: 'multilat',
1024: 'multilat',
1025: 'multilat',
1037: 'multilat',
1038: 'multilat',
1311: 'multilat',
1312: 'multilat',
1313: 'multilat',
104: 'mlt',
807: 'mlt',
811: 'mlt',
812: 'mlt',
901: 'mlt',
902: 'mlt',
903: 'mlt',
905: 'mlt',
906: 'mlt',
907: 'mlt',
909: 'mlt',
913: 'mlt',
914: 'mlt',
915: 'mlt',
921: 'mlt',
923: 'mlt',
926: 'mlt',
928: 'mlt',
932: 'mlt',
940: 'mlt',
944: 'mlt',
948: 'mlt',
951: 'mlt',
952: 'mlt',
953: 'mlt',
954: 'mlt',
956: 'mlt',
958: 'mlt',
959: 'mlt',
960: 'mlt',
963: 'mlt',
964: 'mlt',
966: 'mlt',
967: 'mlt',
971: 'mlt',
974: 'mlt',
976: 'mlt',
978: 'mlt',
979: 'mlt',
980: 'mlt',
981: 'mlt',
982: 'mlt',
983: 'mlt',
988: 'mlt',
990: 'mlt',
992: 'mlt',
997: 'mlt',
1011: 'mlt',
1012: 'mlt',
1013: 'mlt',
1014: 'mlt',
1015: 'mlt',
1016: 'mlt',
1017: 'mlt',
1018: 'mlt',
1019: 'mlt',
1020: 'mlt',
1023: 'mlt',
1024: 'mlt',
1025: 'mlt',
1037: 'mlt',
1038: 'mlt',
1311: 'mlt',
1312: 'mlt',
1313: 'mlt',
30: 'nondac',
45: 'nondac',
55: 'nondac',