LeoStatistic is a scientific and educational software application for users of all sophistication levels, from students through scientists and data analysts! LeoStatistic contains a broad array of sophisticated calculation, data, and graphing functions:
Transparent and self-explanatory interface permits editing data or statistical method setting in several clicks.
Distribution of one and two variables; x-y dot graph presentation; three dimensional and color map style view of the function of two variables.
Histogram building, curve fitting with several interfaces, plane and parabolic multivariate approximation, estimation with near neighbors method.
Import data from database, text file, clipboard, or image chart.
Instant creation of MS Word Report.
Import data series (tables) from: database (MS Access for example) or by custom SQL request; text file; copy/paste from spreadsheet (MS Excel); get them from chart image or type in spreadsheet like data control.
Operate more then one data series (tables) at the same time.
Virtually unlimited number of records to present and analyze.
Recognition of calendar mm/dd/yyyy data format transferring it into yyyy.yyyy to use for market (currencies, shares, commodities) time series trend analyzing.
Add and modify parameters in data series by user defined formulas or simple incorporated schemes.
Calculating matrix of correlations for all parameters in first data series and visually presenting them as a table of x-y charts.
Building histograms of variable distributions comparing them with Student and Poisson probability densities. There is an option to calculate distributions conditioned to other parameters.
Visual presentation in form of X-Y chart of correlation between two variables plus an ability to implement a variety of curve fitting schemes for approximation to find best matching formula.
Three dimensional histogram for distribution of two variables. There is also an option to present it as a color map.
Three dimensional projection of variable as a function of two arguments and multivariate approximation as a plane or parabola-like surface.
Linear and parabolic multivariate regression of number of arguments.
Near neighbors method for multivariate estimation of value on the premise that closest in multidimensional space points have like values.
Calculation of probability score for chosen variable (response).
Visualized data and abstract of statistical results are displayed on the screen in report-ready form. Detailed statistical formulas and coefficients are shown at the result panel.
User can copy/paste the screen chart as a bitmap picture into MS Office applications and content of result panel in the table format.
Instantly create a MS Word document with a result chart and text content of the result panel.
Calculation for a given set of arguments for active statistical schemes when available (few logical exclusions applied).
Modeling array of arguments is defined in a text file with the option to sort results and save. This option can be used for prediction of data behavior including selection of most perspective candidates (consumers).
Transparent and self-explanatory user interface conveniently located at control panel of application.
No more than three clicks are ever required to edit statistical schemes or presentation options.
Click on any image below to see a screenshot:
Building histogram
Distribution of two variables.
Approximation
(constructor style interface).
3D view.
DOW trend.
Signals revealing.
Near neighbors method.
Harmonic analysis.
Fit with free format formula.
Curve fit of crystal growth rate.
Get data from image file.
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