Yes Data

Data-driven visuals and statistics focused on economics, health or human resources. Tools in posts, all visuals are original. 📊🗺️📸

[Yes Data @yesdata_]

☔️ Series: Rainfall (No. 6) - Japan

Japan's rainy season, tsuyu, brings heavy rainfall from June to mid-July.

🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

[Yes Data @yesdata_]

🐔 Series: Chicken Density (No. 3) - Indonesia

Indonesia has a massive chicken population, supporting its huge poultry industry.

🔧 Tools: Python (Rasterio, Geopandas, Shapely)

[Yes Data @yesdata_]

🚗 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)

[Simon Kuestenmacher @simongerman600]

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

[Yes Data @yesdata_]

🗺️ 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)

[Yes Data @yesdata_]

🚗 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)

[Yes Data @yesdata_]

🗺️ 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)

[Yes Data @yesdata_]

🐮 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)

[Yes Data @yesdata_]

🗺️ 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)

[Yes Data @yesdata_]

👨‍🌾 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)

[Yes Data @yesdata_]

🧯 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)

[Yes Data @yesdata_]

💧 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)

[Yes Data @yesdata_]

☔️ 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)

[Yes Data @yesdata_]

💧 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)

[Yes Data @yesdata_]

🗺️ 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)

[Yes Data @yesdata_]

💧 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)

[Yes Data @yesdata_]

👨‍🌾 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)

[Yes Data @yesdata_]

🚗 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)

[Simon Kuestenmacher @simongerman600]

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

[Simon Kuestenmacher @simongerman600]

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_