1) The main difference between a bar chart and a histogram is that, in a bar chart, the labels in the X axis are categorical; while in histogram, we have the labels as numeric or quantitative values.
This also gives rise to the difference that, in a histogram, we can talk about the skewness of the data set, but in a bar chart, talking about the skewness is invalid, because the labels are purely categorical.
2) Even if the data set shows that the two variables have a very strong correlation, this does not mean that one causes another; this is because correlation is only a measure of linear association and does not imply causation.
3) Even if the data set shows that the two variables have a very weak correlation, this does not mean that one causes another; this is because correlation does not imply causation.
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