#30DayMapChallenge | Day 24 - Places and Their Names For today's challenge, I created a map of the highest peaks in Parque Nacional Sierra Nevada in Mérida, Venezuela. Tools: QGIS and Figma

#30DayMapChallenge | Day 21 - Icons For today's challenge, I used personal data from the routes I run and the cats I greet. Tools: QGIS + Figma

#30DayMapChallenge | Day 20 - Water For today's challenge, I created a representation of the Mississippi River in the United States using its digital elevation model and light detection and ranging. Tools: QGIS

#30DayMapChallenge | Day 19 - Projections For today's challenge, I chose to use the “d3.geoAiry” projection for the first time, along with world population data by country. Tools: D3

#30DayMapChallenge | Day 18 - Out of this world For today's challenge, I created a representation of our solar system (somewhat inaccurate). Tools: D3

#30DayMapChallenge | Day 17 - A new tool For today's challenge, I decided to recreate the map from two days ago that shows active fires in Brazil. This time, I made it a hexbin map using R and ggplot2.

#30DayMapChallenge | Day 16 - Cell (Up to Date) For this challenge, I decided to create a grid map displaying the population of the United States by state. Tools: D3

#30DayMapChallenge | Day 15 - Fire For today's challenge, I used data from NASA satellites showing active fires and thermal anomalies in Brazil over the past seven days. Tools: D3

#30DayMapChallenge | Day 14 - OpenStreetMap For today's challenge, I visualized the roads of Barcelona, Spain. Tools: QGIS

#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

#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

#30DayMapChallenge | Day 11 - Minimal map For today's challenge, I visualized the main streets of Caracas. Tools: QGIS + Figma

#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

#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

#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

#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

#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

#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

#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

#30DayMapChallenge | Day 2 - Lines (up to date) For the second challenge, I mapped the rivers and waterways in North America. Tools: QGIS and D3

#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

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...

#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...

#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...

#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...

#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.

#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...

#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...

#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...

#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...

#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...

#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...

#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...

#30DayChartChallenge | Day 12 - Data.gov (up to date) For this challenge, I chose a dataset of the breeds of registered dogs in New York City. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 11 - Stripes It was a complicated day, so I chose a simple and known solution. A bit overwhelmed with the data for this visualization and the data I used for the sixth day (wildfires): the world is on fire. Source code: github.com/juanchiparra...

#30DayChartChallenge | Day 10 - Multi-modal Today I had fun exploring the most popular names in the United States. I'm very curious about the reasons behind the rise and fall in popularity of certain names. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 9 - Diverging For today’s challenge, I decided to visualize the rivalry between Barcelona and Madrid in La Liga. I'm delighted with the result; even though I had little time, it turned out just the way I wanted. Source code: github.com/juanchiparra...

#30DayChartChallenge | Day 8 - Histogram For today's challenge, I extracted data from the National Health Service's Cancer Registration Statistics report. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 7 - Outliers When I read the seventh-day prompt, the first word that came to my mind was inflation. I know it well (I'm in the second position). For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 6 - Nightingale The first theme day of the challenge was inspired by the work of Florence Nightingale. I came across a massive dataset of natural disasters and I chose wildfire for this sixth day. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 5 - Ranking For today's challenge, I chose to focus on mass shootings in the United States. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 4 - Big or small Today was the turn of the results of The Gender Equality Index 2024 in the European Union. For those who want to see the source code: github.com/juanchiparra... Data: eige.europa.eu/gender-equal...

#30DayChartChallenge | Day 3 - Circular For this third day, I chose a dataset of the countries with the highest military spending. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 2 - Slope Taking advantage of the dataset I used for the first day, today I created a slope chart to show the impact of the pandemic on the causes of death between 2019 and 2021. For those who want to see the source code: github.com/juanchiparra...

#30DayChartChallenge | Day 1 - Fractions For the start of this challenge, I created a treemap comparing causes of death (2021) using D3. For those who want to see the source code: github.com/juanchiparra...