We continue our journey into the world of data visualization. Last time we broke down bar charts, and today we turn to an equally important and expressive class: area charts. This is a powerful tool that shows not just values, but dynamics, trends, and accumulation over time. We will explore six types: Area, Stacked Area, 100% Stacked Area, 3D Area, 3D Stacked Area, and 3D 100% Stacked Area. 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 textbook examples — behind them are 64.87 thousand requests through Cloudflare from 60 countries, 2.3 thousand unique visitors, 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: area charts are not just "color-filled line graphs." They are a tool that captures volume, trend, and structure at the same time. Once you learn to choose the right type, you will be able to tell stories through data so clearly that anyone will understand them at first glance.

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.

64.87k
Total requests
Total requests for 01.09.2026 — 01.10.2026
2.3k
Unique visitors
Total Unique Visitors over the previous 30 days
210
Maximum per day
Maximum Unique Visitors in a single day
29.88k
Requests through Cloudflare
Uncached Requests over the previous 30 days

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.

Six Types of Area Charts: Breaking Down Each One

Below are six 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.

1. Area Chart — requests by Cloudflare host
The classic area chart shows the volume of requests across three key hosts and their contribution to total traffic.
www.devitpro.uz — 36,050 · devitpro.uz — 20,290 · other sources — 8,530
2. Stacked Area Chart — Vercel regions by month
Stacked areas show how months add up to the total Edge Requests traffic volume.
Jun 1 – Jul 1 — 14,443 · Jul 1 – Aug 1 — 8,897 · Aug 1 – Sep 1 — 23,267
3. 100% Stacked Area Chart — share of Vercel regions
Normalized areas bring each month to 100% — you can see how the traffic structure changes.
Hong Kong dominates all three months: 56.1% of total traffic.
4. 3D Area Chart — Top 10 Cloudflare countries
The 3D effect adds depth: volumetric areas across leading countries.
United States — 8,350 · Uzbekistan — 5,576 · Netherlands — 2,112 · Italy — 1,953 · Germany — 1,576
5. 3D Stacked Area Chart — Vercel Edge regions
Volumetric stacked areas show the contribution of each region to total traffic.
The top 5 Vercel Edge regions account for 88.5% of all traffic.
6. 3D 100% Stacked Area Chart — Cloudflare countries
3D areas normalized to 100%: comparing traffic structure across countries.
Top 5 Cloudflare countries: United States, Uzbekistan, Netherlands, Italy, Germany.

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.

United States US
8,350 12.9%
Uzbekistan UZ
5,576 8.6%
Netherlands NL
2,112 3.3%
Italy IT
1,953 3.0%
Germany DE
1,576 2.4%
United Kingdom GB
1,244 1.9%
Belgium BE
887 1.4%
Japan JP
855 1.3%
Russia RU
768 1.2%
Canada CA
727 1.1%
Brazil BR
620 1.0%
China CN
406 0.6%
Poland PL
377 0.6%
Australia AU
306 0.5%
Spain ES
285 0.4%
Saudi Arabia SA
280 0.4%
France FR
280 0.4%
Israel IL
266 0.4%
Romania RO
201 0.3%
Czech Republic CZ
155 0.2%
Finland FI
126 0.2%
Luxembourg LU
108 0.2%
Switzerland CH
80 0.1%
Sweden SE
77 0.1%
Bangladesh BD
77 0.1%
Indonesia ID
75 0.1%
Denmark DK
69 0.1%
India IN
52 0.1%
Ukraine UA
50 0.1%
UAE AE
44 0.1%
Kazakhstan KZ
43 0.1%
Hungary HU
27 0.0%
Thailand TH
24 0.0%
Mexico MX
22 0.0%
Iran IR
21 0.0%
Lithuania LT
21 0.0%
Uganda UG
20 0.0%
Ireland IE
20 0.0%
New Zealand NZ
20 0.0%
Jamaica JM
19 0.0%
Austria AT
19 0.0%
South Africa ZA
17 0.0%
Turkey TR
17 0.0%
Colombia CO
9 0.0%
Vietnam VN
7 0.0%
Venezuela VE
5 0.0%
Philippines PH
5 0.0%
Iceland IS
5 0.0%
Slovenia SI
5 0.0%
Korea KR
4 0.0%
Argentina AR
4 0.0%
Bolivia BO
4 0.0%
Portugal PT
2 0.0%
Togo TG
2 0.0%
Bulgaria BG
2 0.0%
Latvia LV
2 0.0%
Azerbaijan AZ
2 0.0%
Malaysia MY
2 0.0%
Peru PE
1 0.0%
Paraguay PY
1 0.0%
Guatemala GT
1 0.0%
Croatia HR
1 0.0%
Belarus BY
1 0.0%
Bhutan BT
1 0.0%

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.

Hong Kong hkg1
29,043 56.1%
San Francisco, USA sfo1
7,739 14.9%
Washington, D.C., USA iad1
4,045 7.8%
Frankfurt, Germany fra1
3,543 6.8%
Cleveland, USA cle1
2,649 5.1%
Paris, France cdg1
1,695 3.3%
Stockholm, Sweden arn1
950 1.8%
Portland, USA pdx1
592 1.1%
London, United Kingdom lhr1
532 1.0%
Singapore sin1
304 0.6%
Montréal, Canada yul1
260 0.5%
Mumbai, India bom1
227 0.4%
Sydney, Australia syd1
65 0.1%
São Paulo, Brazil gru1
43 0.1%
Dublin, Ireland dub1
43 0.1%
Tokyo, Japan hnd1
30 0.1%
Seoul, South Korea icn1
24 0.0%
Osaka, Japan kix1
7 0.0%
Cape Town, South Africa cpt1
1 0.0%

What I Took Away From This Experience

After building all six area charts, I drew several important conclusions. Here they are — short and to the point.

  • Area Chart — for trend. When you need to show how a value changes over time and how voluminous it is, this is the best choice.
  • Stacked Area Chart — for the whole. Shows how parts add up to a total volume and how that volume grows.
  • 100% Stacked Area Chart — for structure. Brings each category to 100% — you can see how shares change.
  • 3D Area Chart — for presentations. The 3D effect adds depth, but perception accuracy drops.
  • 3D Stacked Area Chart — for the wow factor. Volumetric stacked areas look great on slides and in reports.
  • 3D 100% Stacked Area Chart — for emphasis on structure. 3D + normalization = maximum visibility of shares.
  • 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 Area Charts in 2026?

The answer is a resounding yes. In a world where data has become the new oil, the ability to visualize it 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. Area charts are the best tool for analyzing trends and accumulation over time.

But there is a nuance. Each type of area chart has its own area of application. Area — for trend. Stacked — for the whole. Normalized — for structure. 3D versions — 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.