Editing Seattle open data

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== Analyzing traffic on the Burke-Gilman trail ==
 
== Analyzing traffic on the Burke-Gilman trail ==
 
[[File:Bgt_bikes_and_peds_2019.png|thumb|right|250px|In this session we'll learn how to analyze and transform data about traffic on the Burke-Gilman trail over time, and create useful timeseries visualizations like this one!]]
 
[[File:Bgt_bikes_and_peds_2019.png|thumb|right|250px|In this session we'll learn how to analyze and transform data about traffic on the Burke-Gilman trail over time, and create useful timeseries visualizations like this one!]]
We will spend the first part of the session today walking through the included notebook <tt>Burke-Gilman_commuter_traffic.ipynb</tt>. We will be reproducing this notebook section by section, coding as we go, until we culminate in exporting a CSV file that can be used to build the timeseries visualization above.
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We will spend the first part of the session today walking through the included notebook <tt>Burke-Gilman_commuter_traffic.ipynb</tt>. We will be reproducing this notebook section by section, coding as we go, until culminate in exporting a CSV file that can be used to build the timeseries visualization above.
  
 
After that, you'll have time to explore next steps on your own, either tackling the "Challenge questions" below, exploring the capabilities of the SODA API, or asking your own research questions with any of the other datasets on data.seattle.gov!
 
After that, you'll have time to explore next steps on your own, either tackling the "Challenge questions" below, exploring the capabilities of the SODA API, or asking your own research questions with any of the other datasets on data.seattle.gov!

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