EuroData Score is a web-based workspace for examining structured data. You upload a table — a CSV or JSON file — and use the built-in tools to check its quality, calculate descriptive statistics, explore frequency distributions and trends over time, look for relationships between variables, and save your findings as reports.
What you need
- A modern web browser (current versions of Chrome, Edge, Firefox or Safari). No installation is required.
- An activated EuroData Score account. See Accessing Your Account.
- A dataset in a supported format: CSV or JSON, up to 5 MB, 50,000 rows and 100 columns. See Understanding Supported File Formats.
A first session, step by step
- Sign in at /login. The first time you sign in, a short welcome tour introduces the workspace. You can skip it at any time.
- Add a dataset. Open My Datasets and upload a file, or load the synthetic sample dataset offered during onboarding if you want to try the tools first.
- Check data quality. The dataset page shows detected column types, missing values, duplicate rows, invalid values and the columns that need attention.
- Run an analysis. Use Statistical Analysis for summary statistics, Frequency Analysis for value counts and histograms, Trends for time-based aggregation, and Insights for correlations, unusual values and group comparisons.
- Save your work. Save an analysis to History to reopen it later, or create a Report that you can print, save as PDF or export as CSV.
Workspace navigation
| Section | What it does |
|---|---|
| Overview | Totals for your datasets, records analyzed, saved reports and your most recent analysis. |
| My Datasets | Upload, preview, rename and delete datasets; review data quality. |
| Statistical Analysis | Descriptive statistics for numeric columns, with optional filters. |
| Frequency Analysis | Counts, percentages, bar charts and histograms for a selected column. |
| Trends | Aggregate a metric by day, week, month, quarter or year and compare periods. |
| Insights | Correlations, unusual values, group comparisons, cross-tabulations and rule-based observations. |
| Reports / History | Saved reports and previously saved analyses. |
| Settings / Billing | Account details, password, data export, deletion and purchase status. |
Before relying on any result, read Understanding Analytical Limitations.