1 Task Create a single Jupyter/IPython notebook (see the Artefacts section below for all the requirements), where you perform what follows. 1. From https://github.com/gagolews/teaching-data/tree/master/marek, download the two following excerpts from the National Health and Nutrition Examination Survey (NHANES dataset): nhanes_adult_male_bmx_2020.csv, nhanes_adult_female_bmx_2020.csv. They give body measurements of adult males and females. 2. Read the two files as numpy matrices named male and female. Each matrix consists of seven columns: 1. weight (kg), 2. standing height (cm), 3. upper arm length (cm), 4. upper leg length (cm), 5. arm circumference (cm), 6. hip circumference (cm), 7. waist circumference (cm). 3. On a single plot (use matplotlib.pytplot.subplot), draw two histograms: for female weights (top subfigure). and for male weights (bottom subfigure) Call matplotlib.pyplot.xlim to make the xaxis limits identical for both subfigures (work out the appropriate limits yourself). 4. Call matplotlib.pyplot.boxplot to draw a box-and-whisker plot, with two boxes side by side, giving the male and female weights so that they can be compared to each other. Note that the boxplot function can be fed with a list of two vectors like [female_weights, male_weights]. In your own words, discuss the results. 1 5. Compute the basic numerical aggregates of the male and female weights (measures of location, dispersion, and shape). In your own words, describe and compare the two distributions (e.g., are they left skewed, which one has more dispersion, and so forth). 6. To the female matrix, add the eight column which gives the body mass indices of all the female participants. 7. Create a newmatrix zfemale being a version of the femaledataset with allits columns standardised (by computing the z-scores of each column). 8. Draw a scatterplot matrix (pairplot) for the standardised versions of height, weight, waist circumference, hip circumference, and BMI of the females (based on zfemale). Compute Pearsons and Spearmans correlation coefficients for all pairs of variables. Interpret the obtained results. 9. Compute the waist circumference to height ratio and the waist circumference to hip circumference ratio of the male and female participants by adding two more columns to the males and females matrices. 10. Draw a box-and-whisker plot with four boxes side by side, comparing the distribution of the waistto-height ratio and the waist-to-hip ratio of both male and female participants. Explain what you see. 11. In your own words, list some advantages and disadvantages of BMI, waist-to-height ratio, and waist-to-hip ratio.