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Does it make sense to combine them together into a single graph (i.e., the line graph overlaid on the bar graph)? Usually not. Each overlaid graph will be harder to understand. The reader will ha …

Thanks for including the data! Those are tough questions without perfect answers, but here are some common techniques. Smooth the data with the goal of making easier to see trends over individual v …

I don't know if Mac Numbers supports this, but many data visualization programs let you specify whether a variable or an axis is categorical or continuous. In your case the date is being treated categ …

Thank for providing the data with your question. It has been interesting to explore. However, given the lack of answers so far, perhaps your questions are too broad for a good answer. Now that the ba …

One technique is to test all values of the x variable for the standard deviation of the data before and after it. For a true step function, the sum of those two will be minimal at the step location, a …

How you split the nodes into groups will depend on domain knowledge of what makes a node's series interesting. For comparison, there are general rule sets for signaling process control alerts, such t …

Your view is not bad. You lose a lot of detail due to over-striking and summarizing, but that's OK if you only care about the outliers and those summary stats. 500 is pushing the limit, but an alter …

Since you will probably be plotting date on a single dimension (usually the X axis for time), it would be best to have at least the date parts in "narrow" format, each value in a separate row of a sin …

An increasingly common way to show uncertainly is with spaghetti plots (Andrew Gelman blog posts), which use overlaid translucent lines. The plot gives a raw view without assuming any model. That may …

The author is presumably referring to the way the exponential distribution is a good model for certain event occurrences. The Wikipedia page for the distribution has a long section of applications in …

You mean you don't want a line plot like this? :) Time is a natural for the X axis and line plots. Here's a better view using a small multiples approach. Sometimes it helps to order the panels …

If all series have the same number of data points at the same x positions, then a LOESS smoother with lambda=0 (essentially a weighted moving average) will satisfy your constraints. At each positio …