Green_Hackathon-Fall2020 | Hackathon Repository
kandi X-RAY | Green_Hackathon-Fall2020 Summary
kandi X-RAY | Green_Hackathon-Fall2020 Summary
Green_Hackathon-Fall2020 is a Python library. Green_Hackathon-Fall2020 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Green_Hackathon-Fall2020 build file is not available. You can download it from GitHub.
The purpose of this Hack-a-thon is to develop an interactive dashboard to summarize high-frequency energy consumption data in 81 electricity meters on UNCG’s campus. These meters represent power utilization of various buildings across UNCG and will help the university understand the requirements and usage of energy consumption and efficiency across the campus. Prior work in the project has achieved scripts to clean, summarize, and predict energy use using statistical models with data on meter readings, local weather conditions, and classroom occupancy. These scripts are written in Python and extract data from various API sources. The available cleaned data is available at: Participants in this Hack-a-thon are tasked with using the data produced by these scripts to write new scripts that create a real-time dashboard that displays a series of interactive graphs. Teams will be judged based on the interactive graphs, dashboard usability, style and aesthetics, coding and documentation. The dashboard created by the winning team will be deployed and hosted by UNCG for use by Facilities Operations staff and the public.
The purpose of this Hack-a-thon is to develop an interactive dashboard to summarize high-frequency energy consumption data in 81 electricity meters on UNCG’s campus. These meters represent power utilization of various buildings across UNCG and will help the university understand the requirements and usage of energy consumption and efficiency across the campus. Prior work in the project has achieved scripts to clean, summarize, and predict energy use using statistical models with data on meter readings, local weather conditions, and classroom occupancy. These scripts are written in Python and extract data from various API sources. The available cleaned data is available at: Participants in this Hack-a-thon are tasked with using the data produced by these scripts to write new scripts that create a real-time dashboard that displays a series of interactive graphs. Teams will be judged based on the interactive graphs, dashboard usability, style and aesthetics, coding and documentation. The dashboard created by the winning team will be deployed and hosted by UNCG for use by Facilities Operations staff and the public.
Support
Quality
Security
License
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Support
Green_Hackathon-Fall2020 has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
Green_Hackathon-Fall2020 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Green_Hackathon-Fall2020 is current.
Quality
Green_Hackathon-Fall2020 has no bugs reported.
Security
Green_Hackathon-Fall2020 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Green_Hackathon-Fall2020 is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Green_Hackathon-Fall2020 releases are not available. You will need to build from source code and install.
Green_Hackathon-Fall2020 has no build file. You will be need to create the build yourself to build the component from source.
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Green_Hackathon-Fall2020 Key Features
No Key Features are available at this moment for Green_Hackathon-Fall2020.
Green_Hackathon-Fall2020 Examples and Code Snippets
No Code Snippets are available at this moment for Green_Hackathon-Fall2020.
Community Discussions
No Community Discussions are available at this moment for Green_Hackathon-Fall2020.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Green_Hackathon-Fall2020
You can download it from GitHub.
You can use Green_Hackathon-Fall2020 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Green_Hackathon-Fall2020 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Somya Mohanty - sdmohant@uncg.edu. Will Queen - jwqueen@uncg.edu.
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