In this second tutorial on Plotly for Python, I show you to construct a histogram.
A histogram represents a numerical variable as a bar chart, by dividing the data point values up into equally sized bins and counting how many values occur in each bin.
A histogram then differs from a bar chart, which represents categorical variables. You will note that a default histogram has no gaps between the bars, signifying the idea that the variable being plotted is continuous, numerical in nature.
A histogram can be normalized by letting each bar represent the fraction of the values that fall into each bin, making it a frequency distribution plot.
Jupyter notebook files are available on Github: https://github.com/juanklopper/Plotly-for-python
