Data Summary

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✓ Published0🌍 Public

Last edited Nov 12, 2017

Created on Nov 12, 2017

This example summarizes a large dataset of San Francisco International Airport passenger traffic statistics using Datalib. The visualization provides a quick overview of the data's shape—including its columns, types, and summary statistics—by processing a CSV file with over 10,000 rows (filtered to 2010 onward). The block forks Curran's "Data Table Summary" and uses D3 v4 to render the dataset in a concise, tabular format, making it easy to explore the structure and key attributes of the airline, route, and passenger count fields.

AI-generated description

This example summarizes a data table using Datalib. You can fork this Block and change the data to get a quick overview of the shape of your data.

This data is from Datazar. Search URL for this file.

San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. To get the file use the datazar API endpoint

This file had over 10,000 rows so removed the oldest records. File goes from early 2016 back to the beginning of 2010. All rows before 2010 where purged.

forked from <a href='http://bl.ocks.org/curran/'>curran</a>'s block: <a href='http://bl.ocks.org/curran/f849f374f21c490c5490d501636bdb77'>Data Table Summary</a>

mit Licensed

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