|  | InforShell Trend View 4.3

Trend View A novel spreadsheet for interactive visual data trend analysis |

Contents

Introduction View data trend by color indexing Finding target values and the distribution Data trend visualization Create 2D, 3D scatter or bubble plots |  | Data processing and calculation Math formula and supporting features Spreadsheet matrix calculation Access large files exceeding spreadsheet row/col limit File format and data exchange

Introduction The purpose of Trend View is to provide users with an efficient, visual and easy-to-use spreadsheet that can handle large amounts of data for: indicating data trend visually, and locating and analyzing data of interest In traditional spreadsheet approaches, to view data trends users will need to specify certain columns and rows to construct a graphic view on the data of interest, e.g. bar or line graphs. This process will be repeated for viewing a diagram for each data area individually. Taking a different approach, Trend View enables users to perform a mouse-driven data browse on the spreadsheet and visualized data (e.g line graphs, 3D plots) will be displayed accordingly. Additionally, in Trend View data values can be visualized by color indexing. Trend View can exchange data with MS-Excel and Matlab, and retrieve data from most commercial databases. Trend View can be used in many application areas where visual inspection of data trends is desirable, for example, scientific statistics, historical stock prices, environmental study, etc. Return to Top | Figure 1. Trend View screen shot Trend View download | contact InforShell full functionality (30 day free trial) No installation required (easy to remove) System requirement: MS Windows 98/2000/XP Trend View single user edition $43.99 US
Important! Enter your email in the "Instruction for vendor" field, we'll send the software there, and set it as your password to run the software.

View data trend by color indexing In addition to traditional spreadsheet functions, Trend View employs remote sensing data color-indexing techniques. To observe large data sets, users can specify color-indexing schemes to visualize data trends: row independent value comparison column independent value comparison global cell value comparison After color-indexing the spreadsheet, a global color-only view of the data is also generated. Each pixel of this color index image corresponds to a data value in the spreadsheet, at the row and column coordinate that matches the pixel's position. Using this feature, users can easily observe data trends by inspection. The color index image also serves as an interactive index: users can use the mouse to navigate on the image window, and the spreadsheet window will be driven to center on corresponding data automatically. Once users have identified regions of interest in the dataset, Trend View provides traditional features of line graph, bar graph, and 3D plot to facilitate data analysis. Return to Top | Figure 2. Data color indexing Figure 3. Row-independent color indexing

Finding target values and the distribution In Trend View, users can specify a value range to find and view results through a color indexing of target data values. Valid data ranges can be set to lower/higher than or equal/not equal to a specified value, as well as a range between upper and lower thresholds. The Find feature will produce a color index image, where values that are not in the target range are grayed out. The color index image enables the distribution of target data to be clearly viewed. It also allows visual trend analysis as well as interactive index to drive data browsing in the spreadsheet. (Details please see "View data trend by color indexing" section) Return to Top | Figure 4. Finding target values and the distribution

Data trend visualization Graphical display functions, including 2D/3D line/bar graphs, are improved in Trend View by enabling the following interactive features: In the 2D graph window, the value and row/column information for any point, indicated by your mouse cursor, will be displayed dynamically following the cursor's motion. You can also mark values of interest for reference when browsing other sections of data with the graph window, as well as used them for value comparison. In the 3D graph window, 3D plots can be zoomed in/out or rotated in any direction (by dragging the plot and use of the scroll wheel). Moving the mouse cursor (right-dragging) in the spreadsheet or color-mapping window, graphs in the 2D/3D window will be updated accordingly. Return to Top | Figure 5. 3D visualization of data trends

Data processing and calculation Statistics: Set conditions (if any), including lower/higher than or equal/not equal to the specified value, or values between certain upper and lower thresholds. Perform calculations, for example, count all or specified items, sum, maximum/minimum, average, percentage, data distribution (histogram) etc. Data processing: Scaling, normalizing, standard deviation Graph processing: Smoothing 2D/3D graphs through convolution Return to Top | Figure 6. 3D visualization of data points

File format and data exchange Trend View table size: Normal setting = (R2000, C370) User can customize size, from range of (R15000, C50) to (R50, C15000) Output file Output from Trend-View is in the text/ASCII format (.txt) Each record in the output file is ended by new line (\r\n) Data fields are separated by tab (\t) Each empty field is filled by a space character Data sharing Trend View can directly read text files (.txt) produced by MS-Excel and Matlab. Output from Trend-View can be directly read by MS-Excel, Matlab or any other text editors. Between Trend View and MS-Excel, data can also be transferred through copy/paste. Trend View can retrieve data from any ODBC compatible databases (e.g. DB2, Oracle, Sybase, SQL Server, Access, dBase, FoxPro, etc). Trend-View provides an SQL generation wizard to help users specify data retrieval conditions and generate SQL statements automatically. Data convert: Trend View can read any text files that are formatted as the following: each record is ended by pressing the Enter key; data fields should be delimited by tab, comma, semicolon, space or any user specified symbols. Trend View can read stock historical prices text files (.txt). Return to Top | Figure 7. 3D visualization of Matlab exported data