Table Lens Info Page
researched and implemented by Peter Huffman and Will Ernst

Our ImplementationAbout Table Lens

Table Lens is a common information visualization method to dynamically explore large amounts of tabular data. Borrowing from the spreadsheet model, the Table Lens displays regional data values in columns and rows without scrollbars and without obscuring any data and filling the cells with scaled and coloured horizontal small bars. Each row in the Table Lens represents a single region and the columns represent a specific indicator. The power of the Table Lens is that it has the combined abilities to sort records, focus "zoom" in on interesting areas in the data (to reveal exact numerical information) and remove unwanted records. The advantage is obtained by using a so-called "focus + context" or "fisheye" technique. These techniques allow interaction with large information structures by dynamically distorting the spatial layout of the structure according to varying interest levels. The relationship between focus and context supports searching for patterns in the big picture and dynamically investigating interesting details without losing framing context. The most significant feature of a table is the regularity of its content with information along rows or columns is consistent. This is reflected in the fact that regional tables usually have the name of the region at row and column edges that identify associated indicator data values. The Table Lens adjusts the layout of a table without bending any rows or columns. Table Lens can be used to explore patterns in regional tables and investigate various explanatory statistics using multivariate dataset. To sort the regions in the Table Lens simply click on the header of the column that you want to sort by, clicking multiple times on the same header will reverse the order of the records.
Source: NCOMVA.se


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