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Thanks - I should have clarified that the x axis wouldn't show date but would
instead show days since the first purchase. I plan on calculating this as a separate columnn and then using it to graph with. As you say, plotting by date will result in a mess. Is it possible to automate the process of generating all of this data automatically? I don't think Excel will automatically create the charts I'm looking for, so I would have to manually add each new customer series one by one and then tweak the series formula. This is not viable from a sheer time perspective. The only way that comes to mind is write some sort of script to go through the data row by row. As soon as the script detects a change in the customer field, it will create a new series out of the rows it has previously processed. If this doesn't work then the only other option is to use a more flexible graphing tool such as gnuplot or something in combination with scripts to process and prepare the data for graphing. I would have much more flexibility in processing and graphing the data but I was hoping that Excel would be powerful enough to do this. It can certainly do a lot - sometimes I think it can read my mind. :) "Jon Peltier" wrote: One of your buying patterns was when customers bought widgets relative to their first widget purchase. If you just plot by date, you'll have a big mess. But try subtracting initial purchase data from purchase date, so you have number of days since first purchase. This will give you a better X variable. For your Y variable, you may leave quantity as is, or you may divide quantity by initial purchase quantity, or you may transform it in another way. And don't treat this as either-or. Make several charts, one for each variation you can think of. And keep trying other variations as they pop into your head. - Jon ------- Jon Peltier, Microsoft Excel MVP Tutorials and Custom Solutions Peltier Technical Services, Inc. - http://PeltierTech.com _______ "rparker" wrote in message ... I was thinking about using an xy scatter plot because I wanted to plot time on the x axis and number of widgets purchased on the y axis. So the x axis is definitely treated as a value rather than a category. I actually don't care too much about differentiating among the 255 customers; I'm mainly looking for general trends in buying behavior. I was thinking that if I graph a large number of customers and juxtapose their buying behavior together, certain patterns will emerge. Sparklines is an interesting concept. The biggest issue I see with them is that they don't allow me to map many simultaneously together, which is what I'm primarily interested in. The aggregate is more important than the individual customer. "Jon Peltier" wrote: How are you going to differentiate from among 255 customers on a chart? What type of chart is it? I wonder if using a set of sparklines might be what you need. These people have a good product: http://www.bonavistasystems.com/Prod..._Overview.html - Jon ------- Jon Peltier, Microsoft Excel MVP Tutorials and Custom Solutions Peltier Technical Services, Inc. - http://PeltierTech.com _______ "rparker" wrote in message ... I want to track the widget buying history of each customer. I already have sales data on how many widgets have been purchased by a distinct customer on a specific date. There are other helpful fields such as geographic region, customer size, etc. I've already been able to massage the data a bit and use pivot tables so I can get statistics such as total widgets per region per quarter, widgets per quarter purchased by new vs. existing customers, etc. I'm trying to prove or disprove a hypothesis about the data; namely, are most widget purchases made simultaneously with the initial sale of the first widget or afterward? I was hoping that by graphing the widget buying history of a number of customers, this would become more apparent. This is why I planned to make each customer into its own series so I could graph out the customer's buying history over time. I plan on segmenting the customers by geographic region and customer size. If I still have more than 255 customers per segment then I was simply going to make each segment smaller by tweaking the customer size categories. I'm doing this analysis mostly for myself so I can draw some conclusions about our customers and their buying patterns, so you are correct in saying that legibility isn't the foremost concern. Hopefully my questions make more sense! I'm still fairly new to Excel charting but I'm doing my best to learn as much as I can to get the job done. "Jon Peltier" wrote: It depends on what you want to show. As I asked... Does each customer need its own series? Are you interested in widgets per day, cumulative widgets, or something else? Another thing you need is legibility, but your posts don't indicate that you're too concerned with that. What you need to think about includes: * do I understand my client? - do I understand the data? - do I understand what they need to learn from the chart? - do I know how they currently display the data? * what are my plotted values? * how do I segment the data? - what are the categories? dates? parts? customer? something else? - how do I define my series? customer? part number? classifications of parts? - Jon |
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