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GUI
GUI
 
 
ebooklib
ebooklib
 
 
locale
locale
 
 
pdfminer
pdfminer
 
 
ply
ply
 
 
README
README
 
 
add_item_name.py
add_item_name.py
 
 
attributes.py
attributes.py
 
 
cases.py
cases.py
 
 
code_text.py
code_text.py
 
 
codebook.py
codebook.py
 
 
color_selector.py
color_selector.py
 
 
confirm_delete.py
confirm_delete.py
 
 
dialog_sql.py
dialog_sql.py
 
 
docx.py
docx.py
 
 
highlighter.py
highlighter.py
 
 
html_parser.py
html_parser.py
 
 
import_survey.py
import_survey.py
 
 
information.py
information.py
 
 
journals.py
journals.py
 
 
manage_files.py
manage_files.py
 
 
memo.py
memo.py
 
 
qualcoder.py
qualcoder.py
 
 
refi.py
refi.py
 
 
report_attributes.py
report_attributes.py
 
 
reports.py
reports.py
 
 
select_file.py
select_file.py
 
 
settings.py
settings.py
 
 
setup.py
setup.py
 
 
text_mining.py
text_mining.py
 
 
view_av.py
view_av.py
 
 
view_graph.py
view_graph.py
 
 
view_image.py
view_image.py
 
 
vlc.py
vlc.py
 
 

README

# QualCoder
QualCoder is a qualitative data analysis application.

QualCoder projects are stored in a Sqlite database. Text files can be typed in manually or loaded from txt, odt, docx, epub and optionally ,and not ideally, pdf files. Codes can be assigned to text, images, audio and video. 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 18, Linux Mint 18, Windows 10.
Instructions and other information are avaible here: https://qualcoder.wordpress.com/

## INSTALLATION
You will need to have a python3.x version installed.
You will also need to have pyqt5, lxml, qpdf and vlc

## License
QualCoder is distributed under the MIT LICENSE.