Editing DS4UX (Spring 2016)/Seattle traffic

[[File:SeattleGovLogoHome.png|right|250px]]

== Daily bicycle and pedestrian traffic patterns on the Burke-Gilman trail ==

In this project, we will explore data gathered from [https://data.seattle.gov data.seattle.gov], an open data repository that contains a variety of interesting civic datasets. The dataset we are working with today is a count of traffic per hour on the Burke-Gilman trail at NE 70th street, broken down by bicycle and pedestrian traffic. 


=== Goals ===

* Gain experience importing, parsing, and exporting large flat datafiles into Python
* Become more comfortable working with data stored in Python dictionaries — one of the most common (and powerful!) data structures for working with large research datasets.
* Practice reading and extending other people's code
* Start to think up ideas of what kind of analysis you might perform with data like this for your final project.


== Code and data ==

<font size="+1">[http://FIXME Click here to download the Socrata scripts]</font>

This .zip archive contains the basic code for the project, and the datasets we'll be using. 


=== Data files used in this project ==

*[https://data.seattle.gov/Transportation/MTS-Trail-west-of-I-90-Bridge/u38e-ybnc Mountain-to-Sounds trail bike and pedestrian traffic counts]
*[https://data.seattle.gov/Transportation/Burke-Gilman-Trail-north-of-NE-70th-St-Bike-and-Pe/2z5v-ecg8 Burke-Gilman trail bike and pedestrian traffic counts]

== Ideas for analysis ==
We'll go over these in class. The solutions are included in your <code>bgt-traffic.zip</code> as the files <code>bike_and_ped_idea[1-3].py</code>

# How many people walked northbound on the BGT between 6 and 7 AM on August 28, 2014?
# How many people walked or rode northbound during April 1, 2015?
# Which hour during November 11, 2015 saw the most overall traffic?


== Coding challenges ==

The [[DS4UX_(Spring_2016)/Day_4_coding_challenge|Week 4 coding challenges]] are based on this project. Please note that Challenges 1-3 are required.


== Related resources ==
;Other interesting datasets from Data.Seattle.Gov
* [https://data.seattle.gov/Community/Seattle-Cultural-Space-Inventory/vsxr-aydq Seattle Cultural Space Inventory]
*[https://data.seattle.gov/Transportation/Road-Weather-Information-Stations/egc4-d24i Road temps in Seattle]
*[https://data.seattle.gov/Public-Safety/Seattle-Police-Department-911-Incident-Response/3k2p-39jp SPD 911 incident respose]

;Other Socrata sites with open datasets you can download
* https://data.austintexas.gov/
* https://data.cityofchicago.org/
* https://data.cityofnewyork.us/

[[Category:DS4UX (Spring 2016)]]