![]() ![]() We start now with a practical Python program. If we construct a histogram, we start with distributing the range of possible x values into usually equal sized and adjacent intervals or bins. Rectangles with equal width have heights with the associated frequencies. ![]() What is a histogram? A formal definition can be: It's a graphical representation of a frequency distribution of some numerical data. A splendid way to create such charts consists in using Python in combination with Matplotlib. However, we are primarily interested in how to create charts and histograms in this chapter. On the one hand, they serve as a source of information for us to see our own thinking and acting in statistical comparison with others, on the other hand they also - by perceiving them - change our thinking and acting in many cases. ![]() Advantages and disadvantages of various activities. They also inform about consequences of certain behavior: smoking or not smoking. Bar charts and column charts clearly show us the ranking of our top politicians. They provide us with quantitative information on a wide range of topics. It's a great way to depict facts without having to use too many words, but on the downside they can be used to manipulate or lie with statistics as well. It's hard to imagine that you open a newspaper or magazin without seeing some bar charts or histograms telling you about the number of smokers in certain age groups, the number of births per year and so on. Estimation of Corona cases with Python and Pandas.Net Income Method Example with Numpy, Matplotlib and Scipy.Expenses and income example with Pandas and Python.Accessing and Changing values of DataFrames.Image Processing Techniques with Python and Matplotlib.Image Processing in Python with Matplotlib.Adding Legends and Annotations in Matplotlib. ![]() Reading and Writing Data Files: ndarrays.Matrix Arithmetics under NumPy and Python.Numpy Arrays: Concatenating, Flattening and Adding Dimensions. ![]()
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January 2023
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