Juanchi Parra
juanchiparra.bsky.social
Juanchi Parra
@juanchiparra.bsky.social
#30DayMapChallenge | Day 14 - OpenStreetMap

For today's challenge, I visualized the roads of Barcelona, Spain.

Tools: QGIS
November 14, 2025 at 4:34 PM
#30DayMapChallenge | Day 13 - 10 minute map

For today's challenge, I created a polygon representation of the city of Mérida, Venezuela, including the surrounding mountains.

This is one of the first effects I learned to implement in QGIS, and it took me about 5:42 minutes to complete.

Tools: QGIS
November 13, 2025 at 2:22 PM
#30DayMapChallenge | Day 12 - 2125

For today's challenge, I imagined what some countries might look like in 2125

Can't you see anything beyond the sea? This scenario could become a reality for some low-lying countries as climate change poses a significant threat to their existence

Tools: Figma
November 12, 2025 at 4:47 PM
#30DayMapChallenge | Day 11 - Minimal map

For today's challenge, I visualized the main streets of Caracas.

Tools: QGIS + Figma
November 11, 2025 at 4:34 PM
#30DayMapChallenge | Day 10 - Air

For today's challenge, I have mapped the most frequent weekly flight routes from Argentina, Chile, Colombia, and Panama.

Tools: D3 and Svelte
November 10, 2025 at 9:56 PM
#30DayMapChallenge | Day 8 - Urban

For today's challenge, I decided to create a map showing the population density of municipalities in Spain.

I was surprised to learn that there are two municipalities with only three inhabitants.

Tools: QGIS and Figma
November 8, 2025 at 7:46 PM
#30DayMapChallenge | Day 7 - Accessibility

To complete this week, I visualized the proximity of healthcare services in Italy by analyzing road travel times.

Tools: QGIS and Figma
November 7, 2025 at 11:05 PM
#30DayMapChallenge | Day 6 - Dimensions

For today's challenge, I created a population density map of Chile.

I'm excited to continue improving my skills with QGIS.

Tools: QGIS and Aerialod
November 6, 2025 at 8:20 PM
#30DayMapChallenge | Day 5 - Earth

For today's challenge, I transformed a 1963 map from Venezuela's former Ministry of Public Works by incorporating the corresponding elevation and terrain data.

Tools: QGIS and Blender
November 6, 2025 at 1:31 AM
#30DayMapChallenge | Day 4 - My data

For today's challenge, I analyzed data from my running activities (14 months)

• Activities: 168
• Total hours: 196,9
• Total distance: 1.717,27 kilometers
• Average per day: 10,47 kilometers

Tools: Strava, Svelte and MapLibre GL JS + CARTO
November 5, 2025 at 3:43 AM
#30DayMapChallenge | Day 3 - Polygons (up to date)

For this challenge, I chose to illustrate the borders of the countries in the European Union.

Tools: D3
November 5, 2025 at 3:37 AM
#30DayMapChallenge | Day 2 - Lines (up to date)

For the second challenge, I mapped the rivers and waterways in North America.

Tools: QGIS and D3
November 5, 2025 at 3:30 AM
#30DayMapChallenge | Day 1 - Points (Up to Date)

For the first challenge, I represented the geographical distribution of over 15,000 Starbucks locations in the United States.

Tools: D3
November 5, 2025 at 3:25 AM
I'm excited to participate in the #30DayMapChallenge for the first time! The challenge started a few days ago, and due to my limited time and my experiments with Blender, I haven't had the chance to publish my maps yet. While I'm not sure if I'll be able to create all 30 maps...
November 5, 2025 at 3:17 AM
#30DayChartChallenge | Day 30 - National Geographic

For this last challenge, I moved away from the main idea and the prompt, but I liked the result. Very happy to have done all the challenges.

For those who want to see the source code: github.com/juanchiparra...
May 1, 2025 at 2:32 AM
#30DayChartChallenge | Day 29 - Extraterrestrial

For today's challenge, I designed my first word cloud, I had the perfect data to do it and didn't want to miss the opportunity. d3-cloud makes it very easy to design.

For those who want to see the source code: github.com/juanchiparra...
April 30, 2025 at 1:45 AM
#30DayChartChallenge | Day 25 to 28 - Risk, Monochrome, Noise and Inclusion

Today, it was time to catch up and do the four challenges I had pending. Only two more to go.

For those who want to see the source code: github.com/juanchiparra...
April 29, 2025 at 12:07 AM
#30DayChartChallenge | Day 23 to 24 - Log scale and World Health Organization

Me: I can create a minimalist dumbbell plot that maintains readability and presents information more clearly and precisely.

Also me: I wonder what it would look like if I designed cigarettes to resemble dumbbell plots.
April 25, 2025 at 2:09 AM
#30DayChartChallenge | Day 22 - Stars

For today's challenge, I decided to try something different and allow myself to experiment.

For those who want to see the source code: github.com/juanchiparra...
April 23, 2025 at 1:46 AM
#30DayChartChallenge | Day 21 - Fossils

For today's challenge, I used data from the U.S. Energy Information Administration regarding energy production.

For those who want to see the source code: github.com/juanchiparra...
April 21, 2025 at 11:22 PM
#30DayChartChallenge | Day 17 to 20 - Birds, El País, Smooth and Urbanization

Today, it was time to catch up and do the four challenges I had pending.

For those who want to see the source code: github.com/juanchiparra...
April 20, 2025 at 9:49 PM
#30DayChartChallenge | Day 16 - Negative

For this challenge, I chose a dataset of temperatures so far in 2025 from the Vostok station in Antarctica.

For those who want to see the source code: github.com/juanchiparra...
April 16, 2025 at 10:06 PM
#30DayChartChallenge | Day 15 - Complicated

For this challenge, I chose a complicated topic to explain and a complicated animation to set up. I believed it was a perfect combination.

For those who want to see the source code: github.com/juanchiparra...
April 16, 2025 at 3:54 AM
#30DayChartChallenge | Day 14 - Kinship (up to date)

For this challenge, I utilized the structure of my Obsidian workspace to replicate it using D3.

For those who want to see the source code: github.com/juanchiparra...
April 16, 2025 at 3:53 AM
#30DayChartChallenge | Day 13 - Clusters (up to date)

For this challenge, I chose data from the World Development Indicators to create the cluster. I love it when I have the opportunity to use K-means.

For those who want to see the source code: github.com/juanchiparra...
April 16, 2025 at 3:51 AM