Zipfer is a software tool for analyzing large volumes of text data. With its advanced algorithms, Zipfer can provide valuable insights and help organizations make data-driven decisions.
Zipfer, created by xTalk programmer Mark Schonewille, is a nifty tool that conveniently retrieves text data from any file and provides a word count while also creating an appropriate data file. The resulting data file can be used to calculate various statistics, such as a linear regression equation which expresses the relationship between rank and frequency of each word.
The tool also features graph creation, showcasing the zipf curve and errors estimated from the theoretical and actual frequencies. Zipfer also enables the user to export the data for further analysis in tools such as Excel and SPSS for more advanced exploration. Re-opening the exported data files in Zipfer is also possible.
Additionally, to enhance the user's experience, Zipfer allows for the export of graphs as JPEG pictures for use in papers and websites. The latest release includes a fix for a problem which used to prevent data from being saved to disk.
The tool also features graph creation, showcasing the zipf curve and errors estimated from the theoretical and actual frequencies. Zipfer also enables the user to export the data for further analysis in tools such as Excel and SPSS for more advanced exploration. Re-opening the exported data files in Zipfer is also possible.
Additionally, to enhance the user's experience, Zipfer allows for the export of graphs as JPEG pictures for use in papers and websites. The latest release includes a fix for a problem which used to prevent data from being saved to disk.
What's New
Version 1.2.1: N/A