HackData2017 | Project for HackData2017

by suryatejreddy Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | HackData2017 Summary

HackData2017 is a Jupyter Notebook library. HackData2017 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The project aims to visualize datasets of Detroit, Michigan to identify zones which are under a greater threat of collapsing and require immediate attention. We have collected multiple datasets for each "feature" for the location. To start the project, install Pandas and Flask. Once, the installation is complete, run the HackData.py file. DataSets taken from: 1.2.

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Support

HackData2017 has a low active ecosystem.

It has 0 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

HackData2017 has no issues reported. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of HackData2017 is current.

Quality

HackData2017 has no bugs reported.

Security

HackData2017 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

HackData2017 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

HackData2017 releases are not available. You will need to build from source code and install.

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HackData2017 Key Features

No Key Features are available at this moment for HackData2017.

HackData2017 Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install HackData2017

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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