The direct answer
Subtract the starting share from the ending share to calculate percentage-point change. Relative percentage change uses the starting share as a denominator and answers a different question. The example uses 2000 and 2021 because the selected snapshot has no 2023 values.
Prepare the observation table
Keep only countries with both endpoints. Create start_pct, end_pct and change_pp, preserving the sign of the difference. For Grouped bar, map country to X and the two endpoint columns to Y. Use a separate bar view for change_pp.
Public dataset and a reproducible example
The download is a prepared extract, not a live data connection. The source links below include the original query, observation period and reuse policy. Keep an original copy when you update the data; revised source values can change the result.
World Bank WDI values retain the indicator units and country-year definitions. Derived counts and indexes are Datamon tutorial calculations, not new official World Bank statistics.
Snapshot retrieved: 2026-10-26. Prepared rows: 10.
Download the prepared CSVDownload the reference SVG
| country | start_pct | end_pct | change_pp |
|---|---|---|---|
| China | 29.6 | 15.2 | -14.4 |
| Germany | 3.7 | 17.6 | 13.9 |
| Indonesia | 45.6 | 20.2 | -25.4 |
| India | 46.9 | 34.9 | -12 |
| Japan | 3.7 | 8.8 | 5.1 |
Build it in Datamon
Sign in with Google to create an editable visualization. Public articles and examples can be read without an account. The prepared CSV already contains the joins, filters or aggregations described above; do those steps in a spreadsheet first when using your own data.
- Open Data and choose a file, or paste the table with its header row. Check the detected numeric columns, decimal separator and dates. The current importer accepts files below 20 MB; these examples are smaller. Keep blanks distinct from recorded zeros.
- In Visualize, select Grouped bar. Connect the roles exactly as listed below. Review the preview against at least two rows in the example table rather than relying only on automatic mapping.
- In Refine, add a title that states the question, the unit, observation period and source. Check labels and contrast at the size your reader will see. Keep a table when exact values matter.
- Use the export controls for SVG, PNG, PDF or PowerPoint, then inspect the actual file. Save an editable project backup. Publish only after checking the underlying values: a public link makes the published data available to anyone possessing the URL.
Calculation and column mapping
The rule below is pseudocode. The downloadable CSV already contains the prepared values; spreadsheet functions and cell references depend on your sheet layout.
change_pp = share_2021 - share_2000; relative_change_pct = change_pp / share_2000 * 100- X
- country
- Y
- start_pct, end_pct
Read the result
In this extract, start_pct ranges from 0.3 (Singapore) to 57.7 (Viet Nam).
Use the preview to check the structure and the CSV to check exact values. Its styling is a reference; your Datamon rendering can look different. Follow the mapping and preparation above to reproduce the analytical meaning.
Mistakes that change the meaning
A renewable share can rise because renewable consumption increases or because total final energy consumption falls. The share alone cannot identify the mechanism. A percentage-point increase also says nothing about the absolute quantity of energy.
Questions before sharing
Do these calculations require an AI service?
No. The prepared CSV and reference calculation are deterministic. Optional AI can help draft an explanation when configured, but it does not replace checking source values or choosing a valid comparison.
Can I use this example with my own spreadsheet?
Yes. Keep the same observation unit, column types and calculation. Replace the source attribution and time period, recompute derived columns, then compare several output values with your original sheet before sharing.
What is free and what needs an account?
Reading this guide and downloading its CSV and chart images are free. Datamon currently has no paid checkout or subscription plans in this deployment. Creating and saving an editable visualization requires Google sign-in. Provider-backed AI, cloud analysis, publishing and video depend on configured services; this guide does not promise unlimited free connected services.
Sources and further reading
Report a correction or an access barrier: Email the editorial contact.
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