BGPT: Create Graphs: Agritalim GMP-like tax subsidy results (LSU, CH4, OI) from provided tables

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Create Graphs — Agritalim GMP-like tax subsidy results (LSU, CH4, OI)

I can create the requested Plotly graphs only if you provide the actual input tables (e.g., LSU values, CH4 values, OI values by scenario/year/condition). Right now, no tables/data were included in your message, so I can’t responsibly produce “raw-data grounded” figures.

What I need from you (paste or upload)

Please paste the tables (or upload a file) that contain, at minimum:

Series: LSU, CH4, OI
Units: the units used for each metric
Grouping keys: what the rows/columns represent (e.g., % subsidy level, GMP-like scheme tier, year, region, manure type, baseline vs. post-subsidy)
All numeric values exactly as given

Once you paste the tables, I will:

Create a multi-panel set of Plotly graphs (one div per graph) for LSU, CH4, and OI.
Show raw data in a DataTable (so you can audit the numbers).
Use consistent axes, units, and scenario labels, and include error bars only if your tables provide uncertainty.
Include a short methods-style note clarifying what is known vs. uncertain (based strictly on your tables).

Quick action

This will iteratively process the data you provide (including parsing uploaded tables) and then generate the graphs.

Note: I’m intentionally not fabricating any numbers/graphs. “Agritalim GMP-like tax subsidy results” depends entirely on the provided table contents.

Feedback:

Updated: April 28, 2026

Keep Exploring

How do LSU, CH4, and OI co-vary across subsidy tiers in your dataset (correlation and trade-off visualization)?

Do your tables distinguish baseline vs. post-policy conditions, and are the same assumptions used across all scenarios?

Analysis Wizard

It will parse your uploaded/pasted tables, validate LSU/CH4/OI columns and units, reshape into tidy time/scenario form, then output Plotly-ready arrays for consistent graphs and an auditable raw-data table.

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