What next?

Here are a few things you can do with Jupyter and

  • Load data directly from into your notebook with project ID using the import datadotworld function and var = dw.load_dataset('project-id') Example:

    import datadotworld as dwlds = dw.load_dataset('garyhoov/us-food-imports-and-exports')

  • Save tables locally as CSVs, using table_name.to_csv('csvname.csv', index=True), which will allow you to upload directly to through Jupyter.Example:

    foodspivot.to_csv('foods.csv', index=True)

  • Upload CSVs directly to your project, all within your notebook file, using the API. make sure you've imported using import datadotworld Example:

    import datadotworld as dwclient = dw.api_client()client.upload_files('sarakbarr/test-projects', 'foods.csv')client.upload_files('sarakbarr/test-projects', 'foods_chart.png')

  • Share documents containing live code, text, visualizations, and more.

  • Manipulate data and use statistical modeling.