bigdata-doc | 大数据学习笔记,学习路线,技术案例整理。

 by   aikuyun Shell Version: Current License: No License

kandi X-RAY | bigdata-doc Summary

kandi X-RAY | bigdata-doc Summary

bigdata-doc is a Shell library typically used in Big Data, Kafka, Spark, Hadoop applications. bigdata-doc has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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              bigdata-doc has a low active ecosystem.
              It has 33 star(s) with 19 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 63 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bigdata-doc is current.

            kandi-Quality Quality

              bigdata-doc has no bugs reported.

            kandi-Security Security

              bigdata-doc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              bigdata-doc does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

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

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            bigdata-doc Key Features

            No Key Features are available at this moment for bigdata-doc.

            bigdata-doc Examples and Code Snippets

            No Code Snippets are available at this moment for bigdata-doc.

            Community Discussions

            QUESTION

            Fuzzy Matching: avoiding "Error: $ operator is invalid for atomic vectors"
            Asked 2017-Nov-28 at 18:32

            I understand that "Error: $ operator is invalid for atomic vectors" is caused by passing $ to the wrong kind of object: an atomic one instead of a recursive one.

            However, I get it when I run a code chunk that works for other people. I'm trying to find what I'm doing wrong or an alternative solution.

            I have two data frames:

            ...

            ANSWER

            Answered 2017-Nov-28 at 18:32

            You are running into issues because DF1 and DF2 are both single column data.frames. When you subset a single column data.frame it drops the data.frame class and returns a vector. Thus using $ won't work. To get around this you can do either:

            1. Select the specific column you want in the subsetting. For your code for DF2 this would be DF2[c2.1, "coolThings"].

            or

            1. Use drop = FALSE to make sure your subsetting doesn't return a vector. For DF2 this would look like DF2[c2.1, , drop = FALSE]$coolThings.

            I personally prefer method 1, but both should work.

            Source https://stackoverflow.com/questions/47535768

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

            Vulnerabilities

            No vulnerabilities reported

            Install bigdata-doc

            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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          • CLI

            gh repo clone aikuyun/bigdata-doc

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            git@github.com:aikuyun/bigdata-doc.git

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