Also: whatever smoothing you do, the way to see if you've done a good job is to randomly divide your journal entries into two (or more) batches, make a smoothed graph using one batch, and seeing how well it agrees with with the other batch. Then use the second batch to make another smoothed graph, and test it on the first batch. Hey presto, you have a numerical estimate of the quality of your smoothing algorithm, which should let you optimise any parameters you might be using.