QuantEcon / QuantEcon/lecture-python-intro
[heavy_tails] World Bank Data retrieval Unreliable
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Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 65
- Forks
- 32
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
Description
The code cell
nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
------------------
# get gdp and gdp per capita for all regions and countries in 2021
variable_code = ['NY.GDP.MKTP.CD', 'NY.GDP.PCAP.CD']
variable_names = ['GDP', 'GDP per capita']
df_gdp1 = extract_wb(varlist=variable_code,
c="all_countries",
s="2021",
e="2021",
varnames=variable_names)
df_gdp1.dropna(inplace=True)
------------------
keeps timing out. Perhaps we need to bring this dataset in-house.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by rerunning the shown notebook cell and tracing the extract_wb call used for the World Bank variables NY.GDP.MKTP.CD and NY.GDP.PCAP.CD. Determine whether the retrieval should be made reliable or replaced with an in-house dataset; done means the 2021 GDP and GDP-per-capita extraction completes without timing out.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100