This blog post will demonstrate this point by extracting the mean and standard deviation of the sepal length and width, as well as the petal length and width, of three different iris subspecies available from the famed Iris dataset, that can be found here.ĭownload the dataset, called ‘iris.data’ into a folder or location of your choice. In short, executing Python via Excel provides those with sufficient experience in the language with an avenue to efficiently communicate and visualize their data in a way that most people can see and understand. The steep learning curve associated with learning how to code in Python.Excel VBA’s slower reading and writing of data.In that line of thinking, running a Python script via an Excel ‘user interface’ addresses two issues: Something that I have been learning of late is the importance of diversifying methods of presenting one’s work in the spirit of open science, communicability and inclusion. Why run a Python script through Excel? Why bother with the middleman when environments such as Spyder and Jupyter Notebook exists?
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