What if your town or city is visualized as a miniature isometric village? Can you imagine what your city in a postcard would look like?. I was trying to organize my files and stumbled upon an archived project.

RT @mryoukhna: Built this from scratch. No team of 10,000. No venture funding. Just a stubborn idea and a lot of late nights. Physical key….

Here's the catch, it is using an actual data which was taken from Yale University's Geographically based Economy Data: . Would you want to have a postcard of it? Let me know if this is mini-project you are keen to explore further.

- The area of the hash patterns represent the actual cropland of the surrounding rural areas. - The color theme shows whether you are situated within a tropical, subtropical and other vegetation types.

Here's my attempt to visualize someone else's city within a 1x1 degree of the world as a mini digital township. Every visual element is encoded within 1x1 degree with:.- The size of your town or city represents by the actual population.

#deckgl #dataexploration #innovation.

and make it even usable. Like sculpting, you take raw materials, squish them together, trim the excesses and voila!. This is not how usual design and development process actually works, but for the sake of figuring out something new, let's be messy. XD.

And the exploration alone is already a joyful process XD. Speaking about mess, I basically dumped all potential data points I want to use for a potential 3d mapsploration, and potentially carve this to the point where it can be used for accessing key insights.

Mess, mess, mess. I don't have a proper context to share yet and nothing fancy, but I'm playing around on Deck GL's capabilities to handle hundreds of thousands or even millions of data points. It's something that I've been longing to explore in a long time.

RT @XdanielArt: Ok, to make up for the long time since the 2021 update, here's another change in a little less than an hour to fix some typ….

👀 Many lesser-known places are gaining fast — are you watching them?. Let data guide your next trip (or analysis). Explore the dashboard + map → #DataViz #PhilippineTourism #Observable #OpenData #GIS #TravelTrends #TourismInsights.

📊 What I discovered.🇵🇭 95M recorded visits in 2019, 2021, and 2023.📉 Foreign tourism dropped 35% from 2019 to 2023.🏙️ NCR saw a surprising +240% surge in local tourism.

🛠️ How I made it.Cleaned shapefiles and tabular data from government PDF reports. Mapped and visualized using Observable Framework, Plot, QGIS, and Mapshaper.

🌴 Find out which places Filipinos actually visit (with links to TripAdvisor Things to Do suggestions).✈️ See which destinations foreign tourists love.📈 Track rising hotspots that could go viral next.🔗 Try it here:

🚀 What I built.A visual and interactive dashboard of popular, trending, and underrated destinations across the Philippines, powered by real tourism data.

📉 That leaves a big gap between what’s known and what’s possible to explore with data. So I asked: What if we made it easier to explore travel patterns across the Philippines using data?.

Why is so much valuable tourism data trapped inside PDFs?.📄 Government reports often bury crucial travel trends in hard-to-analyze tables. 👂 Meanwhile, travelers rely on word of mouth or Instagram to decide where to go.

RT @MtnMapper: If you like tropical islands, this is the map for you. Get it for free here:

If you're excited to explore your next Philippine destination using data, I’ll be sharing the dashboard page soon. Stay tuned! . #Philippines #travel #tourism #dot #Observable #dataviz #dashboard #exploration #lifestyle.

About the tool:.It's built using the Observable Framework, and setting it up was much quicker than I expected. The data cleaning took nearly a week (as expected!), but the Observable setup was surprisingly fast.