Data visualization in Python turns raw numbers into clear, compelling stories. With libraries like Matplotlib and Seaborn, you can create anything from basic charts to polished, presentation-ready ...

# Develop a program to create histograms for all numerical features and analyze the distribution of each feature. Generate box plots for all numerical features and identify any outliers. Use ...

from read_write import read_dataset, determine_file_name_e2, read_contour NR_OF_YEARS_TO_DRAW = 1 # Must be 1, 5 or 25. # Read dataset D.