Guia de Importação Arquivos Excel

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Revision as of 13:33, 28 August 2014 by Jeferson (talk | contribs) (Created page with "'''Se após seguir o guia, ainda ocorrerem problemas de importação, verifique Problemas de Importação.'''")
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As instruções abaixo irão ajudá-lo a formatar corretamente seus arquivos Excel para importação no TaticView.


É possível baixar um arquivo de exemplo formatado corretamente em: Sales.xlsx

Se após seguir o guia, ainda ocorrerem problemas de importação, verifique Problemas de Importação.


Headers

Headers are not mandatory, but if present they should be contained in just one row (the first one) and not be in merged cells.


Headers wrong.png Headers right.png


Avoid Multiple Data Tables

Only one table by spreadsheet can be imported. If the data in two different tables can not be joined, they must be imported as two separated data sources.


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Fix/Remove Empty Rows/Columns

Remove or Fix (by adding at least a header) to full empty rows and columns.


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Remove Merged Cells

Data should not contain merged cells for repeated values. All cells must be unmerged and values must be repeated for each cell.


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Remove Aggregate Rows

Files should not contain aggregation rows cells for repeated values. Delete that rows, as TaticView will make all necessary aggregations in run-time.


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Remove All Table External Items

Files should only contain the data table to be imported. All non related data, as main headers, images, charts, must be removed prior to importing.


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Check for Invalid Numeric Data

Numeric columns should be formatted in Excel prior to uploading the file. This can be done by using the “Convert to number” feature in Excel for all numeric fields. Value data fields can not contain text or symbols, as they cannot be aggregated. When data is not available, cells may be left blank or as zero (0).


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Normalize your Data

Normalization of data (where column headers can be converted into attribute values) will result in better analysis. To do this, first convert metric names to represent attribute values, and then consolidate all metric columns into a single column of data.


Normalization wrong.png Normalization right.png