https://github.com/danielvartan/argus-shiny
✨ Home Assignment for the Data Scientist Position (Curves) at Argus Media Group
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
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.shinyapps.io/argus-shiny/
- Size: 184 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
argus-shiny
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Overview
This repository contains the source code for a Shiny application developed as part of a home assignment for the Data Scientist (Curves) position at Argus Media Group, a leading independent provider of global energy and commodity market intelligence.
The dashboard is available here.
Data Availability
The data used in this application were provided by the Argus Media Group. Both the raw data and the processing pipeline used to generate the valid data are available in the companion repository: danielvartan/argus.
How to Use
The dashboard is built with the R programming language and uses the renv package to manage dependencies and ensure reproducibility. To set up the environment, open R in the project directory and run renv::restore() to install all required packages. Once the environment is restored, launch the Shiny app by running shiny::runApp().
How to Cite
To cite this work, please use the following format:
Vartanian, D. (2025). Argus Media: home assignment — Data scientist, Curves [Computer Software, Shiny Dashboard]. https://danielvartan.github.io/argus-shiny
A BibTeX entry for LaTeX users is
@software{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-shiny}
}
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.