3D Charts, Diagram, Pie Chart, Volumetric Pie Chart, Secondary Pie Chart, Secondary Bar Chart & Doughnut Chart — Edge Requests (Vercel) and Requests (Cloudflare) of devitpro.uz
The world of IT and AI never stands still, and the only way to stay sharp is to keep learning. I firmly believe that sharing your own knowledge and breaking down new concepts through real data is the best path to mastery. Today we continue exploring data visualization — a fundamental discipline in the world of AI and analytics. This time we'll break down seven types of diagrams and charts: 3D Charts, Diagram, Pie Chart, Volumetric Pie Chart, Secondary Pie Chart, Secondary Bar Chart, and Doughnut Chart. The data is real: Edge Requests from Vercel for the period June 28 to September 1, 2026, and Requests from Cloudflare for the period September 1 to October 1, 2026 for the site devitpro.uz.
These aren't abstract examples from a textbook. Behind the numbers: 51,785 requests through the Vercel Edge Network from 19 regions worldwide and 64.87 thousand requests through Cloudflare from 60 countries. Live statistics from a working project — the perfect playground for learning.
My goal: not just to show seven beautiful charts, but to teach you to think in visualizations. When you look at data and immediately know which chart type will reveal it best — that's the true skill of an analyst and engineer.
The Data We're Working With
Before building charts, it's essential to understand the underlying data. We have two independent sources. The first is Edge Requests (Vercel): statistics on requests processed at the edge nodes of the Vercel Edge Network for the period June 28 to September 1, 2026. The second is Requests (Cloudflare): statistics on requests through the global Cloudflare network for the period September 1 to October 1, 2026.
Edge Requests (Vercel) — 06/28/2026 — 09/01/2026
During this period, 51,785 requests passed through the Vercel Edge Network, distributed across 19 regional nodes. Hong Kong (hkg1) leads with 29,043 requests — that's 56.1% of all traffic. This skew is explained by the geography of the primary visitors and the location of the nearest edge nodes.
Requests (Cloudflare) — 09/01/2026 — 10/01/2026
During this period, 64.87 thousand requests passed through Cloudflare, and the site was visited by 2.3 thousand unique visitors from 60 countries worldwide. The daily maximum of unique visitors is 210. Cloudflare handled 29.88 thousand requests, and all of them were uncached — meaning responses were fetched from the origin server.
Distribution by host: www.devitpro.uz leads with 36.05 thousand requests, followed by devitpro.uz with 20.29 thousand requests.
Seven Types of Visualizations — A Breakdown
Below are seven charts, each answering a different question. I built them all on real Vercel Edge and Cloudflare data so you can compare how perception shifts depending on the visualization type.
Regional Map of Edge Requests (Vercel)
I've extracted the Vercel Edge regional statistics into a separate block — they deserve their own section. The data covers 19 regional nodes worldwide. Each card shows the number of requests and its percentage of the total. The top 3 regions are highlighted with a golden accent.
Regional Map of Requests (Cloudflare)
The second block is Cloudflare regional statistics. The data covers 60 countries worldwide. Each card shows the number of requests and its percentage of the total. The top 3 countries are highlighted with a golden accent.
What I Took Away From This Experience
After building all seven charts, I arrived at several important conclusions. Here they are — short and to the point.
- The chart type matters more than the data. The same numbers in different visualizations tell different stories.
- Pie charts are for shares. When you need to show who leads and by how much — a pie chart is irreplaceable.
- Doughnut charts are for emphasis. A central value inside the ring highlights both the total volume and the top-region shares.
- Secondary pie charts are for small segments. They surface the regions that get lost on a standard pie chart.
- Secondary bar charts are for sorting. When you need to see the real balance of power — bar charts win outright.
- Volumetric pie charts are for presentations. The 3D effect impresses, but perceptual accuracy drops.
- 3D charts are for the wow-factor. Volumetric bars look great on slides, but 2D is better for analysis.
- Vercel Edge and Cloudflare provide invaluable data. 51.79k + 64.87k requests — a living laboratory for learning visualization.
- Traffic geography is strategy. Looking at regional distribution reveals where infrastructure optimization is needed.
Verdict: Should You Learn Visualization in 2026?
Unequivocally — yes. In a world where data has become the new oil, the ability to visualize it isn't a "nice-to-have skill" — it's baseline literacy for any engineer or analyst. Especially now, when AI generates enormous volumes of data, humans need to quickly separate signal from noise. Charts are the best tool for that.
But there's a nuance. Each chart type has its own domain of application. Pie charts show shares. Doughnut charts emphasize total volume. Secondary pie charts reveal small segments. Secondary bar charts enable sorting. Volumetric charts create an impression. Only by learning to choose the right type for the task will you become a true master of visualization.
For me personally, this breakdown became another step toward understanding how data turns into knowledge. I realized that behind every chart lies a story — a story of people, countries, and technologies. And if you learn to read those stories, you gain an advantage in any field of IT and AI.