QualCoder | Qualitative data analysis for text , images , audio , video | Machine Learning library
kandi X-RAY | QualCoder Summary
kandi X-RAY | QualCoder Summary
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'.
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Top functions reviewed by kandi - BETA
- 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
QualCoder Key Features
QualCoder Examples and Code Snippets
Community Discussions
Trending Discussions on QualCoder
QUESTION
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 15:09We could use summarise
with across
first to extract the var_label
and append by concatenating, then use pivot_longer
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install QualCoder
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.
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