[new_dataset] SCF_plus_mini_no_weights#6
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Hi @maanasee, now you can use the following code to access the dataset temporarily: After merging this PR I will update you with the corresponding new URL path so that you can use it in your lecture. Please feel free to let me know by email or zoom if you need any assistance or collaboration, @maanasee. I am available for helping over the weekend. |
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Hi @mmcky or @hengcheng would any of you have time to review this PR? Much appreciated. Looking forward to your comments. |
This was referenced Jul 15, 2026
mmcky
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Jul 16, 2026
Repoints the SCF+ wealth sample off the update_scf_noweights branch of high_dim_data and onto main. That branch was auto-deleted when QuantEcon/high_dim_data#6 merged, so the old pinned URL now 404s and this lecture was broken on main. This restores it. The data is unchanged: the LFS object on main carries the same OID the branch served (sha256:c3b2c78a..., 75902999 bytes), so lecture output cannot move. Uses the github.com/QuantEcon/high_dim_data/raw/main/... form, which serves LFS content correctly. raw.githubusercontent.com would return pointer text instead of data, and only /raw/ keeps working if the file later stops being LFS — which it will when high_dim_data folds into data-lectures. Verified: mle.md's pipeline fetches 1,672,214 rows, 108,783 after the 2016 and net-worth filters, and the lecture executes green in CI. Part of QuantEcon/meta#337 See QuantEcon/meta#336
mmcky
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Jul 16, 2026
Repoints the SCF+ wealth sample off the update_scf_noweights branch of high_dim_data and onto main. That branch was auto-deleted when QuantEcon/high_dim_data#6 merged, so the old pinned URL now 404s and this lecture was broken on main. This restores it. The data is unchanged: the LFS object on main carries the same OID the branch served (sha256:c3b2c78a..., 75902999 bytes), so lecture output cannot move. Uses the github.com/QuantEcon/high_dim_data/raw/main/... form, which serves LFS content correctly. raw.githubusercontent.com would return pointer text instead of data, and only /raw/ keeps working if the file later stops being LFS — which it will when high_dim_data folds into data-lectures. Verified: mle.md's pipeline fetches 1,672,214 rows, 108,783 after the 2016 and net-worth filters, and the lecture executes green in CI. Part of QuantEcon/meta#337 See QuantEcon/meta#336
mmcky
added a commit
to QuantEcon/test-lecture-python-intro
that referenced
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Jul 16, 2026
Repoints the SCF+ wealth sample off the update_scf_noweights branch of high_dim_data and onto main. That branch was auto-deleted when QuantEcon/high_dim_data#6 merged, so the old pinned URL now 404s and this lecture was broken on main. This restores it. The data is unchanged: the LFS object on main carries the same OID the branch served (sha256:c3b2c78a..., 75902999 bytes), so lecture output cannot move. Uses the github.com/QuantEcon/high_dim_data/raw/main/... form, which serves LFS content correctly. raw.githubusercontent.com would return pointer text instead of data, and only /raw/ keeps working if the file later stops being LFS — which it will when high_dim_data folds into data-lectures. Verified: mle.md's pipeline fetches 1,672,214 rows, 108,783 after the 2016 and net-worth filters, and the lecture executes green in CI. Part of QuantEcon/meta#337 See QuantEcon/meta#336
mmcky
added a commit
to QuantEcon/lecture-intro.zh-cn
that referenced
this pull request
Jul 16, 2026
Repoints the SCF+ wealth sample off the update_scf_noweights branch of high_dim_data and onto main. That branch was auto-deleted when QuantEcon/high_dim_data#6 merged, so the old pinned URL now 404s and this lecture was broken on main. This restores it. The data is unchanged: the LFS object on main carries the same OID the branch served (sha256:c3b2c78a..., 75902999 bytes), so lecture output cannot move. Uses the github.com/QuantEcon/high_dim_data/raw/main/... form, which serves LFS content correctly. raw.githubusercontent.com would return pointer text instead of data, and only /raw/ keeps working if the file later stops being LFS — which it will when high_dim_data folds into data-lectures. Verified: mle.md's pipeline fetches 1,672,214 rows, 108,783 after the 2016 and net-worth filters, and the lecture executes green in CI. Part of QuantEcon/meta#337 See QuantEcon/meta#336
This was referenced Jul 16, 2026
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As discussed with @jstac and @maanasee this PR produces a dataset called
SCF_plus_mini_no_weights.csvalong with its generating file generating_mini.md.