Beginner· 8 min

Import a CSV and Profile It

Upload a spreadsheet, turn it into a reusable dataset, and check its data quality before building anything on top of it.

What you'll do

Upload a CSV file, preview it, review a column-by-column data quality profile, and save it as a dataset.

Steps

1. Open the Import Wizard

From Datasets or the Landing page, click Import a Dataset.

2. Choose your source

Select Upload File and choose a CSV, XLSX, or XLS file from your computer.

3. Preview the rows

The wizard shows a preview of the parsed rows before you commit to anything.

4. Review the profile

Move to the profiling step. For each column, you'll see:

  • Inferred type
  • Fill rate (% non-null)
  • Unique value count
  • Null percentage
  • Average (numeric columns) or top value (categorical columns)

Look for anything surprising here — a column you expected to be fully populated showing a low fill rate is worth investigating before you rely on it.

5. Name and save

Give the dataset a name and save it. It now appears under Datasets and can be selected as the source for an Input node in any workflow.

Next

Try Connect PostgreSQL and Browse a Table if your data lives in a database instead of a spreadsheet.

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Connect PostgreSQL and Browse a Table

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