poll-predict | Extracts polling data from polling sites

by ealehman Python Version: Current License: No License

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kandi X-RAY | poll-predict Summary

poll-predict is a Python library. poll-predict has no bugs, it has no vulnerabilities and it has low support. However poll-predict build file is not available. You can download it from GitHub.

actual race results. Calculates error of polling predictions and compiles all error data from a collection of races into a dataframe. Then uses this dataframe to make a bootsrap estimate which it applies to current elections to predict their outcomes. The races selected in testing examples are governor races from 2010. However the same framework can be applied to various races from the RCP polling website (user can change url request to analyze different races).

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poll-predict has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

poll-predict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of poll-predict is current.

Quality

poll-predict has no bugs reported.

Security

poll-predict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

poll-predict 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

poll-predict releases are not available. You will need to build from source code and install.

poll-predict has no build file. You will be need to create the build yourself to build the component from source.

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poll-predict Key Features

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poll-predict Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install poll-predict

You can download it from GitHub.
You can use poll-predict 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

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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