u/Cyclo_Studios

Global Economic Impact Mapping of the 2026 Iran–US Conflict Based on International News Coverage [OC]

Data Sources:

AfricaNews
Asia News Network
EUObserver Economy
MercoPress South America
Currents API (used to collect and build the international news dataset related to the Iran–US conflict between Feb 2026 – May 2026)

Tools Used:

Python
GeoPandas
Matplotlib
NumPy
Shapely
Natural Earth world boundaries dataset

Methodology:
Countries and economic/geopolitical sectors were extracted from international news coverage related to the 2026 Iran–US conflict. Each country was linked with affected sectors such as oil, sanctions, shipping, inflation, LNG, trade, military activity, and energy markets.

The map uses Voronoi-based internal country segmentation to visualize multiple simultaneous economic impacts within individual countries rather than assigning only one category per nation.

u/Cyclo_Studios — 3 days ago

▲ 7 r/dataisugly+6 crossposts

Mapping the Global Economic Effects of the 2026 Iran War

u/Cyclo_Studios — 3 days ago

▲ 1 r/datasets

20k Reddit Crypto Sentiment Dataset With Bitcoin market labels

I recently created my first public dataset focused on cryptocurrency sentiment analysis and Bitcoin market forecasting. The dataset contains around 20,000 Reddit posts collected from major crypto communities between 2017 and 2025 using the PRAW API.

It includes:

Reddit post metadata
Cleaned text features
Crypto-enhanced VADER sentiment
Custom FinBERT sentiment scores
Bitcoin prices and returns
Binary BTC movement labels for 1h, 6h, 12h, and 24h horizons

The dataset was built for financial NLP, sentiment analysis, and forecasting research. I am still learning dataset engineering and would appreciate feedback, suggestions, or ideas for improvement.

kaggle.com

u/Cyclo_Studios — 8 days ago