DCAS Managed Public Buildings
Source: https://data.cityofnewyork.us/d/xx2p-4jnq
#nyc #data #dataviz
DCAS Managed Public Buildings | NYC Open Data

#30DayChartChallenge - Day 22: Stars Used actual data from rocket launches and made a (poor?) attempt of drawing the NASA logo. #rstats #dataviz
Bluesky

Bluesky Social
#30DayChartChallenge - Day 20: Urbanization UN Habitat data across global regions showing how green areas per capita has declined since 1990. #rstats #dataviz
Bluesky

Bluesky Social
#30DayChartChallenge - Day 21: Fossils The British Antarctic Survey has an automatic weather station at Fossil Bluff that records temperatures. Here's how the temperatures have changed since 2000. #rstats #dataviz
Bluesky

Bluesky Social

Catching up on Day 24 of the #30DayChartChallenge where the prompt is using data from the World Health Organization 🧑‍⚕️

📊 Tried an experimental way to visualise two variables, where lower values are better for both
✅ Area shrinking towards zero indicates improvement
🤔 Think this would work better if there's a more natural scaling between two variables

#DataViz #D3 #Day24

#30DayChartChallenge Día 26: Monochrome! 🖤🤍 Riesgo y Recompensa en el IBEX 35, versión minimalista. #UncertaintiesWeek #Finance

Este gráfico monocromo muestra la evolución (ventana móvil 1 año) de:
⚫️ Ratio de Sharpe Anualizado (eje izq.): ¿Compensa el riesgo asumido? (Usando Bono Alemán 10A como Rf).
▒ Volatilidad Anualizada (eje der., discontinua): ¡El riesgo puro y duro!

La historia que cuenta: ¡cuando sube la volatilidad (gris), el Sharpe (negro) tiende a caer en picado (a veces bajo cero)! Visualiza la dinámica riesgo-recompensa del índice español en las últimas dos décadas.

🛠 #rstats #ggplot2 #data_table #quantmod | Data: Yahoo/Investing | Theme: Mod. theme_light
📂 Código/Viz: https://t.ly/pI1aF

#Day26 #Monochrome #dataviz #DataVisualization #SharpeRatio #Volatility #RiskManagement #MarketRisk #IBEX35 #Bolsa #RStats #ggplot2 #TimeSeries

Uncertainty in Cardiovascular Disease Prevalence Across the U.S. – Steven Ponce

A visualization of cardiovascular disease prevalence across U.S. states and territories, highlighting statistical uncertainty through confidence intervals. This chart demonstrates how sample sizes affect the precision of health statistics, with wider intervals indicating less certainty in the estimate.

The last 100 bills in one chart! #dataviz #civictech
Enrich your ggplots with extra panels along the x and y axis: https://github.com/jtlandis/ggside #ggplot #dataviz #rstats
GitHub - jtlandis/ggside: ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API

ggplot2 extension allowing for plotting various geometries as side panels using the ggplot2 API - jtlandis/ggside

GitHub

For the "Monochrome" prompt on Day 26 of the #30DayChartChallenge, I decided to do a little bit of data art in D3! 📊

#DataViz #Day26 #D3