Yes Data

Yes Data

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Yes Data

@yesdata_

28 Sep 2025

☔️ Series: Rainfall (No. 6) - Japan Japan's rainy season, tsuyu, brings heavy rainfall from June to mid-July. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

936

Yes Data

Yes Data

@yesdata_

21 Sep 2025

🐔 Series: Chicken Density (No. 3) - Indonesia Indonesia has a massive chicken population, supporting its huge poultry industry. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

976

Yes Data

Yes Data

@yesdata_

14 Sep 2025

🚗 Series: Roads (No. 6) - India India's 6.3 million km road network, the world's second largest, connects cities and villages, driving economic growth. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

5,116

Simon Kuestenmacher

Yes Data retweeted

Simon Kuestenmacher

@simongerman600

9 Sep 2025

This map by @yesdata_ shows the population density across North America.

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Yes Data

Yes Data

@yesdata_

7 Sep 2025

🗺️ Series: Population Density (No. 12) - North America North America's population density averages about 22 people per square kilometer, with significant regional variations. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

109,613

Yes Data

Yes Data

@yesdata_

31 Aug 2025

🚗 Series: Roads (No. 5) - Thailand Thailand's road network connects Bangkok to regional centers with major highways, while rural roads vary in quality. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

1,912

Yes Data

Yes Data

@yesdata_

24 Aug 2025

🗺️ Series: Population Density (No. 11) - South America South America's population density is starkly uneven, clustering in cities while thinning out in rural and wilderness areas. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

1,294

Yes Data

Yes Data

@yesdata_

17 Aug 2025

🐮 Series: Cattle Density (No. 5) - India India has one of the highest cattle densities globally due to its large bovine population and limited agricultural land. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

1,650

Yes Data

Yes Data

@yesdata_

10 Aug 2025

🗺️ Series: UNESCO World Heritage Sites (No. 4) - North America North America hosts UNESCO World Heritage Sites like Yellowstone and Chichen Itza, valued for their natural and cultural significance. 🔧 Tools: Python (Geopandas, Shapely, Contextily)

5,793

Yes Data

Yes Data

@yesdata_

3 Aug 2025

👨‍🌾 Series: HDI (No. 6) - North America The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

4,686

Yes Data

Yes Data

@yesdata_

27 Jul 2025

🧯 Series: Fires (No. 4) - Japan NASA uses its satellites to detect sources of heat on Earth. This map shows 2023 signals. It only shows 'type 0' heat sources (presumed vegetation fire) with confidence 'h' (high). 🔧 Tools: Python (Geopandas, Shapely, Contextily)

1,708

Yes Data

Yes Data

@yesdata_

20 Jul 2025

💧 Series: Rivers (No. 5) - Germany Germany's river system, including major rivers like the Rhine, Danube, and Elbe, plays a vital role in transportation, trade, and supporting diverse ecosystems across the country. 🔧 Tools: Python (Pandas, Geopandas, Shapely)

3,149

Yes Data

Yes Data

@yesdata_

13 Jul 2025

☔️ Series: Rainfall (No. 5) - Africa Africa's precipitation varies widely, with tropical regions like Central Africa receiving heavy rainfall, while vast deserts like the Sahara experience minimal precipitation. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

1,419

Yes Data

Yes Data

@yesdata_

6 Jul 2025

💧 Series: Rivers (No. 4) - Türkiye Türkiye's river system includes major rivers like the Euphrates, Tigris, and Kızılırmak, which flow through diverse landscapes, supporting agriculture, hydropower, and ecosystems. 🔧 Tools: Python (Pandas, Geopandas, Shapely)

2,638

Yes Data

Yes Data

@yesdata_

29 Jun 2025

🗺️ Series: UNESCO World Heritage Sites (No. 3) - D.R. Congo The D.R. Congo is home to five UNESCO World Heritage Sites, including Virunga National Park, known for its diverse ecosystems and endangered mountain gorillas. 🔧 Tools: Python (Geopandas, Shapely, Contextily)

1,783

Yes Data

Yes Data

@yesdata_

22 Jun 2025

💧 Series: Rivers (No. 3) - Nigeria Nigeria's Niger and Benue rivers form a vital confluence at Lokoja, driving ecosystems and culture. 🔧 Tools: Python (Pandas, Geopandas, Shapely)

37,738

Yes Data

Yes Data

@yesdata_

15 Jun 2025

👨‍🌾 Series: HDI (No. 5) - Brazil The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

6,158

Yes Data

Yes Data

@yesdata_

8 Jun 2025

🚗 Series: Roads (No. 4) - Czechia Czechia's road network is extensive and well-maintained, with a radial structure centered around Prague and ongoing modernization efforts. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

48,162

Simon Kuestenmacher

Yes Data retweeted

Simon Kuestenmacher

@simongerman600

3 Jun 2025

Holy cow! South Asia’s cattle density really is highest in India. HT @yesdata_ (give them a follow)

7,220

Simon Kuestenmacher

Yes Data retweeted

Simon Kuestenmacher

@simongerman600

1 Jun 2025

Wonderfully detailed map shows the Human Development Index across Europe. Concentration of development in Central Europe generally and within the big cities within each individual country. HT @yesdata_

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