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Dataset research report

Energy Transition Mix research report

A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.

storageSample descriptionenergy-transition.csv view_list40 rows

Executive Summary

Regional renewable generation and grid transition dataset for testing time series, area charts, grouped bars, heatmaps, and emissions comparisons.

Finding 1The dataset has 40 rows available in the catalog.
Finding 2The catalog exposes 9 documented or inferred columns.
Finding 3Helix has 6 ready query prompts for this dataset.
Finding 4This report includes 5 generated chart views.

Research Context

Energy Transition Mix: 40 rows by 9 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows40
Columns9
Numeric cols8
Categorical cols1

Chart Evidence

These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.

Follow-Up Queries

Preview Rows

# yearinteger regiontext solar_twhfloat wind_twhfloat hydro_twhfloat battery_storage_gwhfloat electricity_demand_twhfloat grid_emissions_mtco2float
1 2016North America32621104420354.4
2 2016Europe43.567.21335.5516417.3
3 2016Asia Pacific52.770.3151.57612480.2
4 2016Latin America59.475164.88.5708543.1
5 2017North America40.765.2112.94442341.4
6 2017Europe50.7691345.5540.5402.6

Data Dictionary

  • year date Calendar year for the observation
  • region categorical Energy market region
  • solar_twh float Solar generation in terawatt-hours
  • wind_twh float Wind generation in terawatt-hours
  • hydro_twh float Hydro generation in terawatt-hours
  • battery_storage_gwh float Grid-scale battery storage in gigawatt-hours
  • electricity_demand_twh float Regional electricity demand in terawatt-hours
  • grid_emissions_mtco2 float Grid emissions in million metric tons CO2
  • renewable_share_pct float Renewable generation share of demand

Method And Limits

  • Load the catalog entry and preview rows from the processed dataset file.
  • Infer numeric, categorical, time, and location fields from real columns.
  • Generate a small set of defensive Plotly chart specifications from that profile.
  • Expose each chart idea as a query link so the report can be rerun or exported in Helix.

This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.

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