QualCoder | Qualitative data analysis for text , images , audio , video | Machine Learning library

 by   ccbogel Python Version: 3.3 License: MIT

kandi X-RAY | QualCoder Summary

kandi X-RAY | QualCoder Summary

QualCoder is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. QualCoder has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However QualCoder has 7 bugs. You can download it from GitHub.

QualCoder is a qualitative data analysis application written in python3 (python 3.6 or newer versions) and pyqt5. Text files can be typed in manually or loaded from txt, odt, docx, html, htm, epub and pdf files. Images, video and audio can also be imported for coding. Codes can be assigned to text, images and a/v selections and grouped into categories in hierarchical fashion. Various types of reports can be produced including visual coding graphs, coder comparisons and coding frequencies. This project has been tested under Ubuntu 20.04 and Windows 10. It has been used on MacOS and various Linux distros. Instructions and other information are available here: and on the Github Wiki. NOTE Transcriptions created with QualCoder 2.8 and newer will have a .txt file ending. These transcription files will not be recoginsed in older QualCoder versions (2.7 and earlier). You will have to change the transcription name ending from '.txt' to '.transcribed' before opening any audio/video files to view or code if opening the project in older versions. In Sql Statements run this to have older versions recognise transcriptions (replace video.mp4 with the actual filename you have): update source set name='video.mp4.transcribed' where name='video.mp4.txt'.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              QualCoder has a low active ecosystem.
              It has 228 star(s) with 47 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 643 have been closed. On average issues are closed in 28 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of QualCoder is 3.3

            kandi-Quality Quality

              OutlinedDot
              QualCoder has 7 bugs (5 blocker, 0 critical, 2 major, 0 minor) and 1436 code smells.

            kandi-Security Security

              QualCoder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              QualCoder code analysis shows 0 unresolved vulnerabilities.
              There are 35 security hotspots that need review.

            kandi-License License

              QualCoder is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              QualCoder releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              QualCoder saves you 13007 person hours of effort in developing the same functionality from scratch.
              It has 39553 lines of code, 1890 functions and 107 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed QualCoder and discovered the below as its top functions. This is intended to give you an instant insight into QualCoder implemented functionality, and help decide if they suit your requirements.
            • Updates the positions of the text
            • Highlight the text
            • Removes formatting
            • Update annotation annotations
            • Import project data
            • Convert a datetime into a datetime object
            • Write INI file
            • Setup the UI
            • Translates the UI text
            • Update the positions of the text
            • Highlight the document
            • Creates the text edit menu for the given position
            • Loads text from file
            • Performs a search on a document
            • Creates a table
            • Creates a text edit menu
            • Generate a picture
            • Setup UI
            • Export the project
            • Populate the table menu
            • Updates the positions in the text editor
            • Save the current graph
            • Import project
            • Select attribute names
            • Select attributes
            • Overrides drop event
            • Make a heatmap
            Get all kandi verified functions for this library.

            QualCoder Key Features

            No Key Features are available at this moment for QualCoder.

            QualCoder Examples and Code Snippets

            No Code Snippets are available at this moment for QualCoder.

            Community Discussions

            Trending Discussions on QualCoder

            QUESTION

            R: Output columns as text
            Asked 2021-Sep-05 at 15:09

            Background: I have survey results in an SPSS .sav file. Some of the survey questions were open, where respondents could type their own responses. In SPSS, I can just select one or more columns, and the responses will be output as a text file, with the responses grouped by each question (column contents), and each response separated by a blank line. This text file can then be used for thematic analysis by assigning code to phrases or sentences in the text.

            I can't seem to find an easy way of doing the same thing in R. All the usual export formats output as a table. Selecting the columns in RStudio gives text output where each the responses are grouped by respondent rather than by column.

            Toy example:

            ...

            ANSWER

            Answered 2021-Sep-05 at 15:09

            We could use summarise with across first to extract the var_label and append by concatenating, then use pivot_longer

            Source https://stackoverflow.com/questions/69058628

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

            Vulnerabilities

            No vulnerabilities reported

            Install QualCoder

            You can download it from GitHub.
            You can use QualCoder 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/ccbogel/QualCoder.git

          • CLI

            gh repo clone ccbogel/QualCoder

          • sshUrl

            git@github.com:ccbogel/QualCoder.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link