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This is a short introductory training session on the use of Python in data science using Jupyter, pandas library and plotnine package. We focus on a common task in data science: import a data set, manipulate its structure, and then visualise the data. We shall use Python and a Jupyter Notebook to accomplish this task.
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DataExplore is an open source desktop application for data analysis and plotting intended for use in both research and education. It’s targeted at non-programmers who want to perform fairly advanced table manipulation methods. It also offers fast, dynamic plot creation from selected data suitable for publication. A variety of table analysis tools are provided.
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