dataZoa series are automatically harmonized, gracefully blending:
and eliminating the "data drudgery"; cleaning, aligning, pasting, re-typing and such.
- PERIODICITIES (FREQUENCIES):
- EARLIEST DATE:
- Because of the calendar discontinuity introduced at the Gregorian transition, the earliest year that can be stored accurately to the day is 1753.
- Non accurate dates can begin as early as 1/1/1000.
- LATEST DATE:
dataZoa handles data gaps automatically and gracefully for all regular periodicities. If you want to prevent the natural implicit behaviors in calculations, charts, etc., you can use the "Irregular" periodicity. If you want customized treatments of gaps, such as "carry forward" you can use the ComputeCloud.
Both American-style mm-dd-yyyy dates and International Style dd-mm-yyyy date formats are supported.
Supported date formats include:
|Fully Specified||Year Only||Month, Year Only||Semi-Annual||Quarterly|
Jan 15 2011
January 15, 2011
Sunday, January 15, 2011
Dates are formatted using a "human friendly" method appropriate to the periodicity of the data. Depending on how they are being used, they may show in either compact or more verbose formatting.
Data Value Handling
Missing Values Handling
Values can be "missing" for different reasons, with different implications. dataZoa recognizes several different types of missing values and treats them appropriately.
|Non-Numeric Type||Meaning||String to enter as Input||String displayed as Output|
|No Data||Data point is known not to exist||##ND##||ND|
|Non-Disclosed Data||Data point exists but is not being shown||##NDD##||NDD|
|Not Available||Data may exist but is not available||##NA##||NA|
In all calculations, missing data has the highest precedence; e.g. a number plus an NA yields an NA. Specialized functions in the ComputeCloud can be used for specialized handling, such as carry-forward, etc.
By default, No Data (ND) formats as a blank, while NA, and NDD data are formatted with "NA" and "NDD", respectively. To fine tune these representations, see Displays.
Missing values are typically shown as gaps.
Numeric values are formatted using a "human friendly" method that takes several factors into consideration; magnitude, sign, apparent significance, etc.
When specific formats are required for displays, options are generally available to control formatting at the display, row, column, and cell level, as appropriate.