Y 75% is the value of Y compared to the top 75% of the distribution of numbers. Y 50% is the value of Y compared to the top 50% of the distribution of numbers (also known as the median value). Y 25% is the value of Y compared to the top 25% of the distribution of numbers. Y 5% is the value of Y compared to the top 5% of the distribution of numbers. By default, the values which are computed from your data are as follows: You will get a graph that is similar to the one shown in the figure 6 if you choose this column and use the Statistical graphs → Box Plot command to create a box plot. For example, Let us assume that we have a table with a column that has 12 values. The important characteristic of Box plot is data distribution which is used to display various statistical values. You can even access additional project objects with Python installed, for example, to quickly write an import filter for a custom data format. You can export Interactive 3D plots to a variety of formats including EPS and PDF. You can export 2D plots such as symbols/lines, bars and pie charts in various different formats like JPG, PNG, EPS, PDF, SVG and more. You can get extensive support for multi-peak fitting, fitting linear and nonlinear functions to the data. There are numerous built-in analysis operations available including column/row statistics, (de)convolution, Fast Fourier Transform (FFT) and FFT-based filters. Standard and special functions can be used to calculate the values of the cells in tables (and much more if you have Python installed) and you can assign individual formulas to each table cell.įor tables and matrices you can perform Multi-level undo/redo. You can directly enter data for tables or matrices or it can also be imported from ASCII files.
You can gather tables (2D data), matrices (3D data), graphs (2D or 3D plots) and notes (text notes or scripts) in a project which can be organized using folders.
#Scidavis windows 7 64 bit download#
If you're still not sure if it will work for you, you can just download SciDAVis and try it out for yourself! Here is a quick review of what SciDAVis is capable of.
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