Abstract
DataExplore is an open source desktop application for data analysis and plotting intended for use in both research and education. It is intended primarily for non-programmers who need to do relatively advanced table manipulation methods. Common tasks that might not be familiar to spreadsheet users such as table pivot, merge and join functionality are included as core elements. Creation of new columns using arithmetic expressions and pre-defined functions is possible. Table filtering may be done with simple boolean queries. The other primary feature is rapid dynamic plot creation from selected data. Multiple plots from various selections and data sources can also be composed using a grid layout. It is thus possible to create publication quality plots. A plugin system allows the addition of features with several plugins already available by default. The program is written in Python and is based on the PyData suite of Python libraries.
Highlights
DataExplore is an open source desktop application for data analysis and plotting intended for use in both research and education
The tendency to use commercial software is highly prevalent in academia even though there are some viable open source solutions available
This may partly be a problem of general awareness on the part of the user
Summary
DataExplore is an open source desktop application for data analysis and plotting intended for use in both research and education. Many researchers use separate plotting packages such as GraphPad Prism [5] and statistical tools like SPSS [6] for analysis This gives rise to another problem – these are commercial applications. The tendency to use commercial software is highly prevalent in academia even though there are some viable open source solutions available This may partly be a problem of general awareness on the part of the user. Scientists in certain data intensive subject areas, are beginning to adapt to scripting languages like R and Python [9] These are a much better foundation to build future skills on and since they are open platforms they allow users to publish full end-to-end instructions that anyone in the world can reproduce for free. There is still space for graphical desktop tools to provide a familiar compliment to spreadsheets for non-programmers
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