global-quarterly-macro-variables
https://github.com/nicolasroever/global-quarterly-macro-variables
Science Score: 31.0%
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✓CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: NicolasRoever
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.24 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Quarterly Macroeconomic Variables
This is the code to produce dataset Quarterly Macroeconomic Variables. I merge and cleaned macroeconomic data from multiple public sources. The final dataset contains many of the most important macroeconomic indicators such as GDP, inflation, etc. for 39 countries.
You find the produced dataset in this directory (the Excel file Quarterly Macroeconomic Variables.xlsx)
The dataset is also published via the Harvard Data Universe here
How to Produce the Dataset Yourself
To get started, create and activate the environment with
console
$ conda/mamba env create
$ conda activate global_macro_variables
To build the project, type
console
$ pytask
Credits
This project was created with cookiecutter and the econ-project-templates.
Owner
- Login: NicolasRoever
- Kind: user
- Repositories: 1
- Profile: https://github.com/NicolasRoever
Citation (CITATION)
@Unpublished{global_macro_variables2024,
Title = {A project for ...},
Author = {Nicolas Roever},
Year = {2024},
Url = {https://github.com/NicolasRoever/global_macro_variables}
}
GitHub Events
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Last Year
Dependencies
- actions/checkout v3 composite
- codecov/codecov-action v3 composite
- mamba-org/provision-with-micromamba main composite
- conda-lock
- ipykernel
- jupyterlab
- matplotlib
- pandas
- pip >=21.1
- plotly >=5.13.0
- pre-commit
- pytask >=0.4.0
- pytask-latex >=0.4.0
- pytask-parallel >=0.4.0
- pytest
- pytest-cov
- pytest-xdist
- python 3.11.*
- python-graphviz
- pyyaml
- seaborn
- setuptools_scm
- statsmodels
- toml