A Chart Alone Cannot Answer Why
The useful view pairs each series with its definition, release date, geography and source. A written note states the economist's interpretation and its limits.
Build an economic indicators dashboard that shows what changed, when it changed and where each figure came from. Compare GDP, prices, jobs and trade in one research workflow.
Mimasa AI helps you organise approved data, explore patterns and write clear analysis. Your dashboard can update as its permitted sources refresh. Your interpretation stays yours.
Source and date · Comparable measures · Visible revisions · Analyst review
Activity
Real GDP growth
Quarterly · Constant prices · Revised
Data not connected
Labor
Unemployment rate
Monthly · Seasonally adjusted
Data not connected
Prices
Consumer-price change
Monthly · Year on year
Data not connected
Trade
Exports and imports
Monthly · Value · Currency noted
Data not connected
Economist Note · Draft
The rate moved, while participation also changed. This chart alone cannot identify the cause.
An economic data dashboard brings selected measures into one view. It helps an economist ask a focused question: Is growth slowing? Are prices rising more slowly? Are more people looking for work?
The useful view pairs each series with its definition, release date, geography and source. A written note states the economist's interpretation and its limits.
A macroeconomic dashboard can compare activity, prices, labor and trade. A macroeconomic indicators dashboard is most useful when readers can see which measures are comparable.
Then select an indicator, comparison period and audience. Do not mix annual growth with monthly rates without labeling the difference.
Economists often work across public tables, approved data feeds and local research files. A release can be revised after publication. A source may also change its method.
For each series, record:
Use Data Extraction & Connectivity for approved source intake and Intelligent Data Snapshots for a reproducible analysis view. A source may require separate access or licensing.
A GDP dashboard can show output and change over time. A level describes the size of measured output. A growth rate describes change between periods. Real GDP adjusts for price changes; nominal GDP does not.
Start with one geography and series definition. Show the unit, period, adjustment and source. Then add a comparison period or another geography if the definitions match. Mark revisions and missing periods.
When you compare countries, check population, purchasing-power measures, base years and currency treatment. An unlabeled line chart can make different economies appear directly comparable when they are not.
Level
The size of measured output in a period.
Growth
The change between two periods.
Real Versus Nominal
Real GDP adjusts for price changes. Nominal GDP does not. Label which one each chart shows.
An unemployment dashboard should show the rate, time period, source and population covered. It may also show participation and employment measures, where licensed data is available.
An unemployment rate can fall when hiring improves. It can also change when people leave the labor force. Compare measures before you interpret the direction.
Ask four questions:
Add a plain-language note: “The rate moved, while participation also changed. This chart alone cannot identify the cause.” Keep your observation separate from the explanation.
An inflation dashboard may show an overall price index and a year-on-year rate. A lower inflation rate means prices are rising more slowly; it does not usually mean prices have fallen. Show the basket, comparison period and source.
A trade data dashboard can compare exports and imports by period and partner, when the dataset allows it. Label value versus volume, currency, goods versus services, and any coverage gaps. A trade balance is a difference between reported flows; it is not a stand-alone verdict on an economy.
Good economic data visualization places a chart beside these notes. Use consistent scales and clear units. Provide a source link and a small data table so readers can check the underlying comparison.
Illustrative layout — no live data or customer results.
| Panel | Measure to display | Essential context | Analyst question |
|---|---|---|---|
| Activity | Real GDP growth | Geography, quarter, price basis, revision | Is measured activity changing? |
| Labor | Unemployment rate | Population, month, adjustment, source | Does employment evidence agree? |
| Prices | Consumer-price change | Index, period, basket and base | Is the pace of price change shifting? |
| Trade | Exports and imports | Currency, coverage, period and basis | Which flows changed? |
Each visual opens the series definition and revision notes. If no approved value is connected, show “Data not connected” rather than a fabricated figure.
Economic forecasting software should make the method, inputs, horizon and assumptions visible. A forecast estimates a future outcome. A scenario asks what might happen under stated conditions. Neither is an observed release.
Where an approved forecasting method is configured, keep its result in a separate, labeled panel. Record the model version and date. Show an uncertainty range where the method supports one. Compare prior predictions with subsequently published observations using the same vintage and definition.
When no forecasting capability is configured, analysts can still document an external forecast and examine its evidence. Do not render an “AI forecast” line by default. A policy scenario requires even more care: one chart cannot establish a policy's causal effect.
Observed
A published release for a measured period.
Forecast
An estimate of a future outcome from a stated method.
Scenario
What might happen under stated conditions.
Useful economic research tools support a trail from question to source to conclusion. Write one short note beside the dashboard:
What changed in the chosen period?
Which measures changed, with dates and units?
What happened in a prior period or similar geography?
Which revisions, gaps or definitions matter?
What is a reasonable explanation, and what remains uncertain?
Which future release might change the view?
Link each material claim to the series used. Keep a version of the note when the source revises its numbers. For report creation, explore Insights & Reporting and Data Presentation.
Choose the audience before sharing the chart. Make source rights and review status visible.
Appropriate content
Research questions, unpublished assumptions and permitted raw data
Check before sharing
Access and source license
Appropriate content
Dashboard, note and reviewer comments
Check before sharing
Definitions, revisions and approval
Appropriate content
Cleared indicators and reviewed commentary
Check before sharing
License, citation, privacy and disclosure
When supported by the current app, let the economist manage dashboards, choose visibility and publish a reviewed version. A dynamic public dashboard must display its refresh date and flag changed or missing sources. Do not imply an unchanged written note updates itself when the data changes.
Where analyst profiles and bylines are available, they should show the author's name, relevant expertise, analysis date and update history.
Economic analysis software should help researchers trace conclusions back to data. Mimasa can organise approved sources, prepare comparable views, build dashboards and support reviewed reports. Your institution or data publisher remains the source of record.
These are neighboring workflows with their own focus.
Examine budgets, margins and company forecasts. Their page owns FP&A workflows.
Examine sustainability measures and reporting. Their page owns ESG questions.
Shows where other research specialties fit on Mimasa.
Clear answers about economic dashboards, sources, revisions, forecasts and public sharing.
Build an economist workspace around the questions you want to answer. Compare approved indicators, explain uncertainty and share a reviewed view with the right audience.