The Iris data set is a comprehensive data set compiled by Robert Fisher in 1936,

The Iris data set is a comprehensive data set compiled by Robert Fisher in 1936, detailing a number of measurements of three species of Iris flowers. It has gained some popularity in the fields of Data Analytics and Machine Learning, as it provides a large number of measurements across a relatively small number of categories.

The assessment task is to carry out some simple, computer-supported analysis of the Iris data set.

Task details

The task has been broken into several, largely independent stages.

Stage 1: Reading and processing data

For this stage you need to complete the specification of the read_and_process(csv_filename) function. This function should do the following:

• Import the csv file named csv_filename as a Pandas DataFrame

• Drop any rows that do not contain entries in all columns

• Strip ‘ cm’ and ‘ mm’ from each data point, and convert them to floats

• Divide the second column (‘sepal_width’) by 10

• Return the resulting DataFrame

You may assume that csv_filename is a readable csv file with a similar format to iris.csv

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