What Python function did you use to load the given dataset?

Check the documentation: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html

What Python functions did you use to visualise your data?

Check the documentation: https://matplotlib.org/api/_as_gen/matplotlib.pyplot.text.html

What Python libraries did you use for your project?

Check the documentation: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html Check the documentation: https://pandas.pydata.org/ Check the documentation: http://www.numpy.org/

Have you included to your report the following?:

It is important to include description of the used data to a data science report. It is important to include statistical measures of the dataset to the description of the used data. It is important to include information about the size and number of features to the description of the used data. A good data science report includes recommendations made on the basis of the carried out data analysis. A good data science report clearly states all the limitations of the carried out data analysis.