Distribution vs Histogram
You could think of histogram as one way of plotting a distribution of values. Another way of plotting such distribution is a KDE (Kernel Density Estimate), but after all, these inform about the same concept, which is how frequent is each value (or values interval) of your values series (x-axis).

I like this picture from seaborn distplot to have a one shot info about the (univariate) distribution of your values, both with continuous (kde) and discrete (histogram) representations. https://seaborn.pydata.org/tutorial/distributions.html