DirtyData | bad data and good Data Science

by marcusinthesky Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | DirtyData Summary

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

DirtyData is blog about bad data and good Data Science. I don't know eveything but hopefully we will learnt together. Over the next few posts we will play with categorical data- the sparser the better- we will look at how to build data pipelines and cool techniques in exploring them. .

Support

Quality

Security

License

Reuse

Support

DirtyData has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

DirtyData has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DirtyData is current.

Quality

DirtyData has no bugs reported.

Security

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

License

DirtyData 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

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

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DirtyData Key Features

No Key Features are available at this moment for DirtyData.

DirtyData Examples and Code Snippets

No Code Snippets are available at this moment for DirtyData.

Community Discussions

No Community Discussions are available at this moment for DirtyData.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install DirtyData

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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