Resume where you left off
Online at https://diogoribeiro7.github.io/analytics-blog-jekyll/2024/01/01/introducing-datalog/
Topics
The DataLog theme is designed for data scientists and researchers who need a dependable platform for publishing technical content. It supports:
- MathJax for rendering LaTeX equations such as $\int_0^1 x^2 \mathrm{d}x = \tfrac{1}{3}$
- Syntax highlighting for Python, R, SQL, and Julia
- Embedded visualizations from Plotly, Vega-Lite, or other frameworks via
<iframe>
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import pandas as pd
def summarize(df: pd.DataFrame) -> pd.Series:
return df.describe().loc['mean']
Use this starter post to share your research agenda, lab news, or a welcome message for collaborators.
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© 2024 Diogo Ribeiro. Text and figures under CC BY 4.0.
How to cite
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Diogo Ribeiro (2024). Introducing the DataLog Theme. DataLog | Data Science & Research Theme. https://diogoribeiro7.github.io/analytics-blog-jekyll/2024/01/01/introducing-datalog/.
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Open science & reproducibility badges
These badges highlight the transparency practices applied to this work. Hover or focus on each badge to learn more about the criteria.
- Open Data Dataset and code repository published with permissive license. Public repository, DOI issued, README with reproduction steps.
- Reproducible Workflow Containerized environment and automated tests provided. Continuous integration pipeline with reproducibility checks.
- Transparent Peer Review Peer review reports archived with DOI and linked to article. Open peer review statement and archived reports on Zenodo.