QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.
QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.
I really like using QualCoder 3.0 for its ease of use and intuitive interface.
The software is efficient and powerful to perform the content analysis task. It allows you to follow the categories and classifications clearly. Facilitates thematic analysis. It is an excellent technology to implement a qualitative methodology. It is a 100% recommended software.
Based on our record, Whatagraph seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I recommend pulling this easily into whatagraph.com through drag & drop functionality. Amazing integration depth, also! Source: about 3 years ago
Try whatagraph.com. Should do the job for you. Source: about 3 years ago
Hey everyone, Just like the title says that's what Whatagraph.com is - those of you who are looking to significantly improve your data aggregation, visualization, and reporting capabilities, I would love to invite you to our webinar next week on Tuesday at 3pm BST.https://www.linkedin.com/events/6793088092371763200/. Source: about 3 years ago
The space I am more aware of is the data integration part of the process, and my team uses hotglue (though hotglue is built for developers) to collate the data into one place, do any transformations necessary (the transformations are done in Python in hotglue), and then send it to the tool we use (we recently switched from Databox to Whatagraph). The nice thing about this for us is we can actually remain on the... Source: over 3 years ago
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