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|Resource type:||Composite Resource|
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|Created:||Jun 15, 2018 at 4:11 p.m.|
|Last updated:|| Apr 07, 2022 at 3:42 p.m.
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This resource includes a data file containing high resolution water use data from a residential dormitory building on Utah State University's campus. The included iPython notebook demonstrates an analysis aimed at answering the question of how weekend (Saturday and Sunday) water demands are different than weekday (Monday - Friday) demands. The code in the Notbook does the following:
1. Resamples the data to hourly by summing incremental volumes
2. Bins the hourly data into weekday versus weekend data
3. Aggregates the data to average hourly and standard deviation by using the "groupby" function
4. Plots the aggregated weekday versus weekend data for visual comparison
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/