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+ An interactive and intuitive data exploration and analysis tool for quickly accessing and analyzing data sets
+ The ability to export data into a wide variety of file formats, including spreadsheets and diagrams
+ Easy-to-use data tables editor and query builder
+ Flexible data schema definition and validation system for custom tables and columns
+ Extensible by user extensions that make tables more valuable
+ Visualize data distribution and relationships with FanLens
+ Table annotations allow users to add their own information to the data tables

COMPATIBILITY
IBM Visual Table Analyzer has been tested on all major operating systems including:
IBM z/OS
IBM AIX
IBM Linux
IBM Tru64 Unix
Sun Solaris
RedHat Linux
Windows 2000, Windows XP and Windows 2003.
IBM Visual Table Analyzer uses the following applications:
Microsoft Excel, Windows Calculator, Windows Notepad, and Microsoft Word
To test this version of IBM Visual Table Analyzer, I loaded a large database of data on the following table:

I then selected this table and right clicked on the “Analyze” button and chose “Analyze to Spreadsheet”. I created a new spreadsheet and copied and pasted the data in the table in a row. Then I closed the spreadsheet and opened it back up and repeated the same steps again. I repeated this process until all the columns in the original table were copied.
When I looked at the spreadsheet, the columns from the table where copied into rows and were left with the data. However, the first two rows were copied as one column instead of two. The spreadsheet could not handle the amount of data in the table.

When I dragged the rows to the second row, a dialog appeared warning me that the spreadsheet could not handle the amount of data in the table. So I closed the spreadsheet and opened it back up. I then opened up the data again and right clicked on the data and selected “Analyze to Table” and I repeated the process again. The rows were separated and the spreadsheet could handle the data.

To test the output of the spreadsheet, I selected each column and right clicked on each column header and chose the “Save Column” option and saved them all into a new folder. I opened up each folder individually and saved them into an html file. I then opened each of these html files and clicked on the “View As Table” button. I was able to see each of the cells in a single table format 384a16bd22

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