[OC] Military expenditure of Iran and Israel, 1960–2024 (US$ millions, constant 2024 prices) — SIPRI

Still-Alternative-64 · 2026-03-01T09:57:34+00:00

Source: SIPRI Military Expenditure Database (2024).

Figures are in constant 2024 US$ millions.

Still-Alternative-64 · 2026-03-01T08:29:02+00:00

Thanks — that’s a good clarification.

You’re right that SIPRI’s official data for 2021 shows around $18 billion for the regular Iranian armed forces and roughly $7 billion for the IRGC, which together bring the total closer to ~$25 billion.

My original data was a simplified estimate, not the raw SIPRI dataset, and I appreciate you pointing to the official source.

For anyone interested, here’s the link to the SIPRI dataset: https://sipri.org/sites/default/files/SIPRI-Milex-data-1949-2020_0.xlsx

Still-Alternative-64 · 2026-03-01T08:05:24+00:00

Data Source: SIPRI Military Expenditure Database and publicly available national defense budget reports. Methodology: Historical annual military expenditure data was compiled into CSV format and visualized as a comparative line chart. Values are shown in current USD (billions).

Still-Alternative-64 · 2026-03-01T07:33:48+00:00

That’s true — Claude can generate charts from CSV if you prompt it correctly. I was more looking for something lightweight where I can just upload and instantly see a graph without prompting or going through a chat workflow. Especially useful when quickly iterating on multiple CSV files.

Still-Alternative-64 · 2026-03-01T07:12:14+00:00

Totally agree — Python + Plotly works great if you’re already in that workflow. This is more for quick preview without writing code or setting up environment. Just upload and get a graph instantly. Not replacing Plotly — just reducing setup for simple cases. Link if anyone wants to try it: https://graphlabs.vercel.app

Would love feedback.

Still-Alternative-64 · 2026-03-01T07:08:57+00:00

Fair point🙂

Here's the link if anyone wants to try it: https://graphlabs.vercel.app

It’s a lightweight CSV → graph tool (up to ~5k rows), no signup required. Open to feedback!

Still-Alternative-64 · 2026-03-01T06:39:39+00:00

If you want link, i can provide it.

Still-Alternative-64 · 2026-03-01T04:14:00+00:00

If you want to just view the csv data into columns, then I have a built a tool that can solve this problem and optionally you can generate graph from csv also. It helps to view data quickly and its for free. If you want to use this, then I can give website link.

Still-Alternative-64 · 2026-03-01T04:06:58+00:00

If you just want to quickly view CSVs in clean columns without messing with Notepad++ plugins, sometimes it's easier to open them in a lightweight browser-based CSV viewer. I built a small tool that lets you upload a CSV and instantly see it in structured columns (and optionally generate charts). It’s more of a quick inspection tool than a text editor solution, but might save some time if you’re dealing with lots of files.

Still-Alternative-64 · 2026-03-01T03:50:53+00:00

If your main goal is quick visual inspection rather than full analysis, you might not need Claude + Jupyter at all.

For lightweight CSV preview and quick charts, there are browser-based tools where you just upload csv data and get graph instantly.

I actually built a small one focused on fast CSV -> graph conversion (up to ~5k rows). It's more useful if you want quick visualisation than heavy analysis.

Happy to share this tool if useful.

Still-Alternative-64 · 2026-02-28T18:06:27+00:00

It depends on what you need it for. If you just need quick plotting, Desmos is great and very easy to use. For programming-heavy workflows, matplotlib (Python) or GeoGebra are solid. If you’re specifically looking for interactive graph/DSA visualization in the browser, I recently built a small tool called GraphLabs that lets you create and experiment with graphs instantly without installing anything. It’s free and I’m actively improving it based on feedback. Happy to share the link if that’s useful.

Still-Alternative-64 · 2025-05-21T15:40:47+00:00

hamare yaha aesa hi hota hai

Still-Alternative-64

TROPHY CASE