Trying to find the correlation between inputs and output
In a correlation framework above, the biggest driver of the output is the input which has the greatest absolute correlation value.

Correlation lies in the range [-1,1], and:


Negative correlation (correlation &lt; 0) implies that the input and output move in opposite directions - i.e. as the input increases, the output decreases (and vice versa).
Nil correlation (correlation == 0) implies that the two variables are completely unrelated.
Positive correlation (correlation > 0) implies that the input and output move in the same direction - i.e. as the input increases, the output increases (and vice versa).


In the chart above, it looks like all-but-one of the inputs are negatively correlated with the output. This implies that as these inputs increase, the output decreases and vice versa.

A few things about your approach:


There is more than one type of correlation - Spearman (rank) and Pearson (linear) correlation are two examples. Be mindful of which you are using.
It would be helpful to rank/sort the result before plotting it. It would be easier for you to visually identify the drivers of the output if your chart was sorted.
You may also want to drop output from the chart. A variable's correlation with itself is always 1, and so this does not add any value to the graphic.