Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.replit.com/llms.txt

Use this file to discover all available pages before exploring further.

A dashboard helps someone make a decision from data. You will build a Global Progress Explorer from a public CSV: country-level data with year, population, continent, life expectancy, and GDP per capita.

​
What you’ll achieve

By the end of this guide, you will have:
  • A Global Progress Explorer dashboard built from a realistic public CSV.
  • Summary metrics for countries, population, life expectancy, and GDP per capita.
  • Charts and filters that show how progress changed over time.
  • A way to verify that the dashboard numbers match the source data.
  • A shareable or publishable dashboard for stakeholders.

​
What you’ll learn

You will learn how to:
  • Start with a decision, not a chart type.
  • Ask Agent to build a dashboard from a public CSV.
  • Check calculations against the underlying data.
  • Add filters and an insights summary.
  • Decide when a dashboard needs login, refresh, exports, or connected data.

​
Who this is for

Use this guide if you have customer, sales, product, operations, research, or public data and need a dashboard people can understand. This is useful for analysts, operators, founders, PMs, educators, and teams who need to turn raw data into decisions.

​
Define the decision

Before building, write down the decision the dashboard should support. For the global progress dataset:
  • Question: Where did life expectancy and GDP per capita improve over time?
  • Audience: education, research, strategy, or nonprofit teams.
  • Useful metrics: country count, year range, latest median life expectancy, total population represented, and median GDP per capita.
  • Useful filters: continent, country, and year range.
If you cannot state the decision, the dashboard will become a collection of charts instead of a useful tool.

​
Build from a public CSV

Use a positive public dataset with meaningful fields and enough rows to explore. Dataset: Gapminder global progress CSV Ask Agent to build the dashboard from that CSV:

​
Check your work

Open Preview and verify the dashboard before sharing it. Check that:
  • Total countries matches the number of unique countries in the CSV.
  • The year range shows 1952 to 2007.
  • Latest median life expectancy uses the latest year in the dataset.
  • Population totals use the filtered countries and years.
  • Filters update the summary cards and charts.
  • The bubble chart uses GDP per capita, life expectancy, population, and continent correctly.
  • The insights summary matches what the charts show.
  • The dashboard works on a phone-sized screen.
If a number looks different than expected, ask Agent to show the calculation.

​
Add filters and exports

After the first dashboard works, ask Agent for the interaction that helps the audience explore the data. Dashboards can also support PDF export, chart CSV export, refresh, auto-refresh, light/dark mode, and analysis summaries. See Data Visualization for the concept overview.

​
Use connected data when needed

Use a public CSV when you are learning or prototyping. Use a connected data source when the dashboard should stay up to date. You can connect dashboards to:
  • A Replit app database.
  • A warehouse connector like BigQuery, Databricks, or Snowflake.
  • Analytics tools like Segment, Amplitude, or Hex.
  • External APIs.
For warehouse data, ask Agent to explain the fields and queries it uses. For setup and availability details, see Data Connectors.

​
Share the dashboard

Share the dashboard when the numbers are trustworthy. If the dashboard uses private customer or business data, add access control before sharing widely. For public or sample data, you can publish and share the URL directly. Ask reviewers:
Review the global progress dashboard and tell me which region or country story you would highlight first, and why.

​
You’re done when

  • The dashboard loads the public CSV.
  • Summary cards and charts answer the progress question.
  • You verified at least one key metric manually.
  • Filters update the dashboard correctly.
  • The insights summary matches the data.
  • You know whether the dashboard should stay public, require login, or connect to live data.

​
Next steps

Add login

Put the dashboard behind authentication so only the right people see it.

Add a database

Save data so it persists and refreshes between sessions.

Add integrations

Pull in another data source or push insights to existing tools.

Data Connectors

Connect a live warehouse so the dashboard reflects up-to-date data.

Turn insights into a deck

Ask Agent to create a stakeholder presentation from the dashboard’s findings.

​
Need further help?

  • Numbers look different than expected: ask Agent to show the query, formula, or transformation.
  • The CSV is unavailable: check the URL, network access, and CSV headers.
  • Filters do not update charts: ask Agent to connect filters to both summary cards and chart data.
  • The dashboard is slow: ask Agent to summarize data, add filters, or reduce rows loaded on startup.
  • The dashboard uses private data: add login before sharing broadly.