What next?
Here are a few things you can do with Jupyter and data.world:
Load data directly from data.world into your notebook with project ID using the
import datadotworld
function andvar = 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 data.world through Jupyter.Example:foodspivot.to_csv('foods.csv', index=True)
Upload CSVs directly to your data.world project, all within your notebook file, using the data.world API. make sure you've imported data.world 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.