https://github.com/danielvartan/argus
📘 Home Assignment for the Data Scientist Position (Curves) at Argus Media Group
Science Score: 26.0%
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Low similarity (15.6%) to scientific vocabulary
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Repository
📘 Home Assignment for the Data Scientist Position (Curves) at Argus Media Group
Basic Info
- Host: GitHub
- Owner: danielvartan
- License: cc0-1.0
- Language: R
- Default Branch: main
- Homepage: https://danielvartan.github.io/argus/
- Size: 88.8 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
argus
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Overview
This report presents a fully reproducible data pipeline developed as part of a home assignment for the Data Scientist position (Curves) at the Argus Media Group, a leading independent provider of global energy and commodity market intelligence.
You can access the report here.
The second part of this assignment—a Shiny application—can be accessed here, with its code repository available here.
Data Availability
The data used in this report were provided by the Argus Media Group as part of the home assignment for the Data Scientist position. The original dataset is available here.
How to Use
The pipeline was developed using the Quarto publishing system and the R programming language. To ensure consistent results, the renv package is used to manage and restore the R environment.
After installing the three dependencies mentioned above, follow these steps to reproduce the analyses:
- Clone this repository to your local machine.
- Open the project in your preferred IDE.
- Restore the R environment by running
renv::restore()in R. This will install all required software dependencies. - Open
index.qmdand run the code as described in the report.
How to Cite
To cite this work, please use the following format:
Vartanian, D. (2025). Argus Media: home assignment — Data scientist, Curves [Report]. https://danielvartan.github.io/argus
A BibTeX entry for LaTeX users is
@techreport{vartanian2025,
title = {Argus Media: Home assignment — Data scientist, Curves},
author = {{Daniel Vartanian}},
year = {2025},
address = {São Paulo},
langid = {en},
url = {https://danielvartan.github.io/argus}
}
License
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This content is licensed under CC0 1.0 Universal, placing these materials in the public domain. You may freely copy, modify, distribute, and use this work, even for commercial purposes, without permission or attribution.
Owner
- Name: Daniel Vartanian
- Login: danielvartan
- Kind: user
- Location: São Paulo, Brazil
- Company: @sustentarea
- Website: danielvartan.com
- Repositories: 84
- Profile: https://github.com/danielvartan
Academic. Passionate about #opendata and #openscience.