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Yes Data @yesdata.bsky.social · 28/09/2025

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

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Yes Data @yesdata.bsky.social · 21/09/2025

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

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Yes Data @yesdata.bsky.social · 14/09/2025

🚗 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)

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Yes Data @yesdata.bsky.social · 07/09/2025

🗺️ 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)

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Yes Data @yesdata.bsky.social · 31/08/2025

🚗 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)

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Yes Data @yesdata.bsky.social · 24/08/2025

🗺️ 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)

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Yes Data @yesdata.bsky.social · 17/08/2025

🐮 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)

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Yes Data @yesdata.bsky.social · 10/08/2025

🗺️ 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)

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Yes Data @yesdata.bsky.social · 03/08/2025

👨‍🌾 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)

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Yes Data @yesdata.bsky.social · 27/07/2025

🧯 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)

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Yes Data @yesdata.bsky.social · 20/07/2025

💧 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)

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Yes Data @yesdata.bsky.social · 13/07/2025

☔️ 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)

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Yes Data @yesdata.bsky.social · 06/07/2025

💧 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)

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Yes Data @yesdata.bsky.social · 29/06/2025

🗺️ 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)

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Yes Data @yesdata.bsky.social · 22/06/2025

💧 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)

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Yes Data @yesdata.bsky.social · 15/06/2025

👨‍🌾 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)

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Yes Data @yesdata.bsky.social · 08/06/2025

🚗 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)

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Reposted by Yes Data

Simon Kuestenmacher @simongerman600.bsky.social · 03/06/2025

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

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Yes Data @yesdata.bsky.social · 01/06/2025

👨‍🌾 Series: HDI (No. 4) - Europe The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

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Yes Data @yesdata.bsky.social · 25/05/2025

🌡️ Heatmap: Consumer Price Index (April, 2025) The consumer price index (CPI) measures inflation. It is used to estimate the average variation between two given periods in the prices of products consumed by households. 🔧 Tools: Python (Pandas, Plotly)

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Yes Data @yesdata.bsky.social · 18/05/2025

🍼 Streak: Monthly Birth Rate and Births by Year - France (March Edition) For the past 33 months, France's birth rate has been lower than or equal to that of the same month last year. No males, no females, only stooges. 🔧 Tools: Python (Pandas, Plotly)

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Yes Data @yesdata.bsky.social · 11/05/2025

🚗 Series: Roads (No. 3) - Middle East The Middle East's road network varies widely, with modern highways contrasting with underdeveloped and conflict-damaged roads in countries like Yemen and Syria. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

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Yes Data @yesdata.bsky.social · 04/05/2025

☔️ Series: Rainfall (No. 4) - Nigeria Nigeria’s rainfall, 1,200 mm/year, ranges from 300 mm north to 3,000 mm south, sustaining ecosystems. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

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Yes Data @yesdata.bsky.social · 27/04/2025

🐮 Series: Cattle Density (No. 3) - South Asia South Asia’s cattle density, highest in India, reflects sacred cow traditions, sustaining farming. Dense, vibrant populations foster resilient communities. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 20/04/2025

🧯 Series: Fires (No. 3) - Brazil 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)

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Yes Data @yesdata.bsky.social · 13/04/2025

💧 Series: Rainfall (No. 3) - Australasia Rainfall in Australasia is variable, seasonal, and influenced by El Niño, with extreme events. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

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Yes Data @yesdata.bsky.social · 06/04/2025

🚗 Series: Roads (No. 2) - Japan Japan's road network can be described as extensive, efficient, and well-maintained. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

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Yes Data @yesdata.bsky.social · 30/03/2025

🗺️ Series: Population Density (No. 10) - Philippines The Philippines’ population density, about 400 people per km², blends bustling cities and quiet islands. Its special vibe shines through a lively, tight-knit community. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 23/03/2025

🌡️ Heatmap: Food Inflation (February, 2025) Food inflation measures annual price increases of common goods, crucial for decision-making by businesses and consumers. High inflation strains budgets. 🔧 Tools: Python (Pandas, Plotly)

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Yes Data @yesdata.bsky.social · 16/03/2025

🚗 Series: Roads (No. 1) - Europe Europe’s road network is one of the most developed and interconnected in the world. 🔧 Tools: Python (Pandas, Geopandas, Matplotlib)

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Yes Data @yesdata.bsky.social · 09/03/2025

🍼 Streak: Monthly Birth Rate and Births by Year - France (January Edition) For the past 31 months, France's birth rate has been lower than or equal to that of the same month last year. No males, no females, only stooges. 🔧 Tools: Python (Pandas, Plotly)

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Yes Data @yesdata.bsky.social · 02/03/2025

💧 Series: Rainfall (No. 2) - France It doesn't rain that much in Brittany and Île-de-France. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

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Yes Data @yesdata.bsky.social · 23/02/2025

🐔 Series: Chicken Density (No. 2) - D.R. Congo Extremely centralized. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 16/02/2025

🐮 Series: Cattle Density (No. 2) - Turkiye In Turkiye, cattle are densely packed in lush regions, showcasing unique breeds. The population's density adds to a culturally vibrant scene. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 09/02/2025

🗺️ Series: UNESCO World Heritage Sites (No. 1) - Europe Europe's UNESCO sites are cultural and natural gems. France's, like Versailles, showcase heritage and beauty. 🔧 Tools: Python (Geopandas, Shapely, Contextily)

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Yes Data @yesdata.bsky.social · 05/02/2025

🗺️ Series: HDI (No. 3) - Germany The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

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Yes Data @yesdata.bsky.social · 02/02/2025

🔥 Series: Fires (No. 2) - India 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)

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Yes Data @yesdata.bsky.social · 30/01/2025

🗺️ Series: HDI (No. 2) - United States The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

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Yes Data @yesdata.bsky.social · 26/01/2025

🐔 Series: Chicken Density (No. 1) - North America A war map for KFC. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 23/01/2025

☔️ Series: Rainfall (No. 1) - South America South America's rainfall is diverse, from dry to wet, shaping unique landscapes and population patterns. 🔧 Tools: Python (Rasterio, Rioxarray, Geopandas)

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Yes Data @yesdata.bsky.social · 15/01/2025

🗺️ Series: HDI (No. 1) - South Asia The Human Development Index assesses development via health, education, and living standards. The dataset contains anomalies. Values are estimates. 🔧 Tools: Python (Rasterio, Rioxarray, Shapely)

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Yes Data @yesdata.bsky.social · 12/01/2025

💧 Series: Rivers (No. 1) - South America A visual representation of South America's river systems, useful for understanding water flow, geographical features, and potentially for environmental studies or resource management. 🔧 Tools: Python (Pandas, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 05/01/2025

🐮 Series: Cattle Density (No. 1/24) - Europe Europe's cattle density is varied, with high spots in the Netherlands and Italy. It enriches rural culture. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 01/01/2025

🔥 Series: Fire (No. 1/24) - Middle East NASA uses its satellites to detect sources of heat on Earth. This map shows all 2023 signals. This map only shows type 0 heat sources (presumed vegetation fire) with confidence 'h' (high). 🔧 Tools: Python (Geopandas, Shapely, Contextily)

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Yes Data @yesdata.bsky.social · 29/12/2024

🗺️ Series: Population Density (No. 2) - Africa Africa's density varies from sparse deserts to crowded cities, creating a rich cultural mosaic that's uniquely African. 🔧 Tools: Python (Rasterio, Geopandas, Shapely)

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Yes Data @yesdata.bsky.social · 14/02/2024

📊 Top: Largest Employers in the World Knowing the world’s largest employers provides insights into labor trends and economic health. High employment suggests a thriving sector, while low numbers may indicate an economic downturn or high automation. 🔧 Tools: Python (Pandas, Matplotlib, Seaborn) ~

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Yes Data @yesdata.bsky.social · 04/02/2024

🔎 Series: Population Density (No. 1) - South Korea South Korea’s population density is substantial, with 515.56 people per square kilometer. It contributes to the vibrant urban life that South Korea is known for. 🔧 Tools: Python (Rasterio, Geopandas, Shapely, JenksPy) ~

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Yes Data @yesdata.bsky.social · 20/01/2024

🔎 Series: Topography - Spain Spain’s peninsular topography is a mix of plateaus, valleys, and mountains. The highest point is Mulhacén at 3,482m. Its diverse landscapes contribute to its natural beauty. 🔧 Tools: Python (Rasterio, Geopandas, EarthPy, Shapely) ~

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Yes Data @yesdata.bsky.social · 15/01/2024

🧮 Gauges: Road Quality Index (RQI) The Road Quality Index (RQI) is a metric that quantifies road quality, providing a standardized measure for comparing different road types. It’s useful as it identifies areas requiring maintenance and improvement. 🔧 Tools: Python (Pandas, Plotly) ~

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Yes Data @yesdata.bsky.social · 30/12/2023

💰 Top: The Richest People in the World 🔧 Tools: Python (Pandas, Matplotlib, Seaborn)

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