DeltaMaster clicks!
February 2010
Trick of the month:
Analyzing spans with scales
and moving aggregations
February 2010
Greetings, fellow data analysts!
When people talk about 'long-term means', they almost always are referring to weather data. In most cases, however, they are not talking about means in their true sense but rather variances or extremes such as the hottest summer and the coldest winter. Today, it is also popular to use a similar comparison to explain the occasionally erratic events on the stock market. 52 week highs and lows or moving averages over 38, 90, 100 or 200 days - these are indicators that investors and speculators use to make decisions.
Both of the examples above come from fields that are marked with great insecurity. Nevertheless, the smallest, largest, and average values are always a welcome support when you are reflecting on a series of numbers. This also applies to the data which you use in analysis and reporting - and here, too, you need to think about variances. Fortunately, you don't have to look back on past decades or ahead to future ones. Many times, you can either sense the reasons behind these changes or discover them with a little research and analysis.
DeltaMaster can help you with all of that. And that's why it's the long-term 'means' of choice for many users around the world.
Best regards,
Your Bissantz & Company team
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