> For the complete documentation index, see [llms.txt](https://docs.soda.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.soda.io/soda-documentation/soda-v3/data-source-reference/connect-file.md).

# Connect Soda to a local file using Dask

For use with [programmatic Soda scans](/soda-documentation/soda-v3/quick-start-sip/programmatic.md), only.\
Refer to [Connect Soda to Dask and Pandas](/soda-documentation/soda-v3/data-source-reference/connect-dask.md).

[Define a programmatic scan](/soda-documentation/soda-v3/quick-start-sip/programmatic.md) to use Soda to scan a local file for data quality. Refer to the following example that executes a simple check for row count of the dataset.

```python
import dask.dataframe as dd
from soda.scan import Scan

# Create Soda Library Scan object and set a few required properties
scan = Scan()
scan.set_scan_definition_name("test")
scan.set_data_source_name("dask")

# Read a `cities` CSV file with columns 'city', 'population'
ddf = dd.read_csv('cities.csv')

scan.add_dask_dataframe(dataset_name="cities", dask_df=ddf)

# Define checks using SodaCL

checks = """
checks for cities:
    - row_count > 0
"""

# Add the checks to the scan and set output to verbose
scan.add_sodacl_yaml_str(checks)

scan.set_verbose(True)

# Execute the scan
scan.execute()

# Inspect the scan object to review scan results
scan.get_scan_results()
```


---

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