Charts: Scatter, Scatter with Smooth Lines and Markers, Scatter with Smooth Lines, Scatter with Straight Lines and Markers, Scatter with Straight Lines, Bubble, 3D Bubble — Using Requests (Cloudflare) for devitpro.uz
We continue our journey into the world of data visualization. Not long ago we broke down area charts in depth, and now the time has come for an equally powerful and expressive class — scatter and bubble charts. These are tools that let you see correlations, clusters, outliers, and relationships where line charts fall short. We will explore seven types: Scatter, Scatter with Smooth Lines and Markers, Scatter with Smooth Lines, Scatter with Straight Lines and Markers, Scatter with Straight Lines, Bubble, and 3D Bubble. The data is real: Requests statistics from Cloudflare for the period from September 1 to October 1, 2026, and Edge Requests from Vercel for the period from June 28 to September 1, 2026, for the site devitpro.uz.
These are not abstract textbook examples — behind them are 64.87 thousand requests through Cloudflare from 60 countries worldwide, 2.3 thousand unique visitors with a daily peak of 210, and 51,785 requests through the Vercel Edge Network from 19 regions worldwide. The live traffic of a working project is the perfect training ground for honing visualization skills.
Key idea: scatter and bubble charts are not just "scattered dots." They are a tool that reveals correlations, density, outliers, and dimensionality at the same time. Once you learn to choose the right type, you will be able to spot patterns where others see chaos.
The Data We Are Working With
We have two independent sources. The first is Requests (Cloudflare) for the period from September 1 to October 1, 2026. The second is Edge Requests (Vercel) for the period from June 28 to September 1, 2026. Below are the key figures on which all charts are built.
Requests (Cloudflare) — 01.09.2026 — 01.10.2026
During this period, 64.87 thousand requests passed through Cloudflare, and the site was visited by 2.3 thousand unique visitors from 60 countries around the world. The maximum number of unique visitors in a single day was 210. 29.88 thousand requests went through Cloudflare, and all of them were uncached, meaning the responses were fetched from the origin server. This is an important metric: the higher the share of cached requests, the lower the load on the origin.
Distribution by host: www.devitpro.uz leads with 36.05 thousand requests, followed by devitpro.uz with 20.29 thousand requests.
Edge Requests (Vercel) — 28.06.2026 — 01.09.2026
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 is 56.1% of all traffic. This imbalance is explained by the geography of the main visitors and the location of the nearest edge nodes.
Breakdown by month: Jun 1 – Jul 1, 2026 — 14,443, Jul 1 – Aug 1, 2026 — 8,897, Aug 1 – Sep 1, 2026 — 23,267. August was the record month for traffic.
Seven Chart Types: Breaking Down Each One
Below are seven charts, each answering its own question. I built them on real data from Cloudflare and Vercel Edge so you can compare how perception changes depending on the type of visualization. All charts are interactive: hover over them to see exact values.
Regional Map of Requests (Cloudflare)
I have separated the regional statistics from Cloudflare into its own block — it deserves a dedicated section. The data covers 60 countries worldwide. Each card shows the number of requests and the percentage of the total. The top 3 countries are highlighted with a golden accent.
Regional Map of Edge Requests (Vercel)
The second block is the regional statistics from Vercel Edge. The data covers 19 regional nodes worldwide. Each card shows the number of requests and the percentage of the total. The top 3 regions are highlighted with a golden accent.
What I Took Away From This Experience
After building all seven charts, I drew several important conclusions. Here they are — short and to the point.
- Scatter — for correlations. When you need to spot the link between two variables and find outliers, this is the best choice.
- Scatter with Smooth Lines and Markers — for a trend with anchors. Smoothing shows the big picture while markers keep the specific values visible.
- Scatter with Smooth Lines — for a clean trend. Without markers the curve reads as a single flow.
- Scatter with Straight Lines and Markers — for precise comparisons. Straight segments do not distort the real gap between points.
- Scatter with Straight Lines — for minimalism. When only the dynamics matter, not the individual values.
- Bubble — for three dimensions. X, Y, and size — three variables in a single chart.
- 3D Bubble — for the wow factor. Looks amazing on slides and in executive reports.
- Cloudflare and Vercel provide invaluable data. 64.87k + 51.79k requests are a live laboratory for learning visualization.
- Traffic geography is strategy. Looking at the distribution by country, you understand where infrastructure needs optimization.
Verdict: Is It Worth Learning Scatter and Bubble Charts in 2026?
The answer is a resounding yes. In a world where data has become the new oil, the ability to spot correlations and outliers is not a "bonus skill" but basic literacy for an engineer and analyst. Especially now, when AI generates huge volumes of data, a human needs to be able to quickly separate signal from noise. Scatter and bubble charts are the best tool for uncovering hidden patterns.
But there is a nuance. Each chart type has its own area of application. Scatter — for correlations. Smooth lines — for trend. Straight lines — for precision. Bubble — for dimensionality. 3D — for 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 was another step in understanding how data turns into knowledge. I realized that behind every chart there is a story — a story of people, countries, technologies. And if you learn to read these stories, you will gain an advantage in any field of IT and AI.