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SOFTWARE/DATA DESK |
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Data Desk 7 by 
distribuito in Italia da TStat S.r.l.
Product Description Data
Desk brings fast, easy-to-use visual analysis to your desktop. It
provides interactive graphical tools for exploring and understanding
your data—for finding the patterns, relationships, and exceptions.
While it implements many traditional statistics techniques suitable for
data from planned experiments and sample surveys, Data Desk’s true
strength is its powerful tools for data exploration. Its insightful
graphic displays simplify intuitive investigation of your data.
No special training in statistics is necessary to gain insight on the
implications of the data you need to understand. You’ll find patterns
and relationships, and you’ll bring to light the elements that don’t
fit—of the most important discoveries you can make. You’ll get to the
real causes behind the patterns and relationships. Extreme
computational speed and linked views make Data Desk an unsurpassable
tool for exploring any set of data—from a few hundred cases to a few
million. You’ll see several different views of your data at once.
Select points in one plot or table and see those points highlight
instantly in all other plots. Modify a data value or parameter and see
all relevant plots and table update immediately. Start at one level and
drill down for more detailed views.
Data Desk 7
All the Power you Need to Explore your Data
"I am awed by DD. What really blows me away is how easy it is to do
multiple regression. Especially the feature that allows you to drag a
predictor in and out of the regression table and watch what happens to
both the adjusted R squared and all the coefficients. Amazing."
- Peter Wylie
Every Data Analysis Should Start with Three Steps:
- Look at your data
- Clean up the strays and errors (you know they're lurking in there waiting to mess up your results)
- Explore relationships and patterns in your data
Data Desk is the tool you need to get your analyses on the right track.
For the Fastest Visual Exploration and Analysis, the Deepest Insight
Data Desk brings fast, easy-to-use visual analysis to your desktop. It
provides interactive graphical tools for exploring and understanding
your data—for finding the patterns, relationships, and exceptions.
While it implements many traditional statistics techniques suitable for
data from planned experiments and sample surveys, Data Desk’s true
strength is its powerful tools for data exploration. Its insightful
graphic displays simplify intuitive investigation of your data.
You Don’t Need a Statistics Background
No special training in statistics is necessary to gain insight on the
implications of the data you need to understand. You’ll find patterns
and relationships, and you’ll bring to light the elements that don’t
fit—of the most important discoveries you can make. You’ll get to the
real causes behind the patterns and relationships
See Your Data Many Ways at Once
Extreme computational speed and linked views make Data Desk an
unsurpassable tool for exploring any set of data—from a few hundred
cases to a few million. You’ll see several different views of your data
at once. Select points in one plot or table and see those points
highlight instantly in all other plots. Modify a data value or
parameter and see all relevant plots and table update immediately.
Start at one level and drill down for more detailed views.
Principal Features
Principal Statistical Characteristics
Graphics
- One-variable displays: Histograms (rescale with mouse drag or specify classes, Normal Probability Plots, Bar Charts and Pie Charts.
- Multiple Group Displays: Dotplots and Boxplots.
Boxplots have the option to display 95% confidence intervals.
- Two-variable displays: Scatterplots and Lineplots.
- Multiple-variable displays: Scatterplot Matrix, Multiple Lineplots and Rotating Plots.
Rotating plots can display equations, even during rotation.
- Special Plots: 3D Rotating Surface Plot and Cluster Dendogram.
- Non-Linear Smoothers: Lowess, Trewess and Running Median.
- Regression Lines: Drawn on scatterplots for the entire dataset or separate for different categories.
- Scatterplot Overlays: Plot several variables on the same scatterplot, without sacrificing speed or interaction.
- Plot Tools and features:
- Palette of 12 plot tools that work in all plots. Plot tools
include: pointer, lasso, brush, slice, identify, refocus, rescale,
lines, rectangle selection.
- Palette of 64 colors. Colors can be assigned to represent different categories or the rank of continuous data values.
- Palette of 8 plot symbols. Symbols can be assigned to represent different categories.
- All plots link so that points selected in one plot instantly
highlight in all others. Identify any point by clicking on it. Select
subsets of points and restrict analyses to those points.
Statistics
-
Summary Statistics for
individual variables, broken down by categories and saved as variables:
mean, median, midrange, midquartile range, biweight, standard
deviation, variance, population standard deviation, standard error,
interquartile range, range, sum of squares, sum, count, skewness,
kurtosis, order statistics, rank, minimum and maximum.
- Frequency Tables and Contingency Tables with Chi-Square and Fisher's Exact Test, expected values, standardized residuals, cumulative statistics and percents.
- Standard Tests and Confidence Intervals, including z-tests,
t-tests, two-sample t-tests, paired t-tests, pooled t-tests, F-tests
and a Chi-Square test of individual variances.
- Nonparametric Tests: Sign, Paired Sign, Wilcoxon Signed Rank and Mann-Whitney U. Option to include or remove ties.
- Correlation: Pearson Correlation, Spearman Rank Correlation, Kendall's Tau and Covariance.
- Regression:
- Simple Regression, Multiple Regression, Weighted Regression, Polynomial Regression, Stepwise Regression.
- Full suite of diagnostic plots and statistics, all linked to update automatically if the data are changed.
- Diagnostics include: residuals -- internally and externally
studentized, leverage, predicted values, DFFits, Cook's distance,
Hadi's Influence and Likelihood.
- Special diagnostic plots include partial regression plots,
potential-residual plots, scatterplots of predicted values vs. residual
and normal probability plots of all diagnostic statistics.
- Drag new response and predictor variables into the regression or
remove them with mouse clicks; diagnostic statistics and plots update
as well.
- Nonlinear Regression:
- Fit virtually any function.
- Interactive visual tools help you find starting values and test the sensitivity of your results.
- Pre-built templates include: Exponential, Power, Growth, S, Log, Inverse, Quadratic, Cubic, or customize your own template.
- ANOVA: Special one-step command to compute One-way and Multi-way, balanced or unbalanced, ANOVA and ANOVA with interactions.
- General Linear Model:
- N-way ANOVA, ANCOVA, MANOVA, MANCOVA and Repeated Measures.
- Fixed effect, random-effect and mixed models.
- Unbalanced designs, nested designs, designs with missing cells and weighted analyses.
- Results include a complete ANOVA table, a cell means table and a coefficients table.
- Full set of diagnostic statistics and plots.
- Post-Hoc tests, including Scheffé, Bonferroni and Least Significant Difference.
- Modify the data, factor type or model and recompute the analysis in place.
- Unique overview table for multivariate models.
- Multivariate tests for MANOVA models include Pillai's trace, Wilk's Lambda, Hotteling-Lawley trace and Roy's Maximum root.
- Logistic Regression, including support for discrete factors,
interaction terms and unbalanced designs, likelihood, coefficients and
Wald statistics.
- Cluster Analysis with single or complete linkage clustering and interactive dendogram.
- Principal Component Analysis:
- Saves principal axes as equation so "nearby" versions with simple coefficients are easy to find.
- Computes a summary table and variables that hold the eigenvalues, eigenvectors and orthogonal basis vectors.
- Transformations:
- More than 100 functions which include rounding, arithmetic,
logical, summary, exponential, trigonometric, probabilities and many
others.
- Select simple transformations from menus or type in arbitrary complex functions, including IF/THEN/ELSE.
- Transformed variables recompute automatically if the data are changed, so they are always up-to-date.
- Pre-fabricated, user-controlled, dynamic transformations include a
Box-Cox transformation, Mix X and Y, Tukey's Lambda and Dynamic Lag.
Special Features:
- Unlimited number of cases and variables.
- System 7 Savvy: shares data and selection sets with the GeoQuery® geographic information management package.
- HyperView® menus offer expert, context-sensitive suggestions.
- Action language:
- Automate calculation and implement new functions beyond the standard Data Desk menus.
- Easy-to-use, object-based programming interface.
- Many standard programming commands including: Let Y:=X, If, If
else, While, Repeat, Loop, Done, Block, Abort, Call, Initialize,
Update, Case Attributes, Random,
Interface and more.
- Templates:
- Create pre-built analyses for use with other data.
- Incorporate drag and drop interface, push button controls and notes for annotation and instruction.
- Efficient and flexible data management with relational structure
including random sampling, transposing, sorting, ranking, generating
patterned data, generating
random numbers, replicating, appending, splitting variables by group,
variable tables and scalar tables.
- Consistency and Updating:
- Windows offer to update if the underlying data are changed.
- Allow viewing before vs. after side-by-side.
- Data Importing:
- Copy and Paste from spreadsheets, word processors, database programs and others.
- Read ASCII text files with arbitrary delimiters and Fixed Format files.
- Combine Data Desk files: import the contents of a saved Data Desk file into another open file.
- Combine data, analyses, and derived variables.
- Exporting:
- Export data (as ASCII text tables), plots (in color PICT or bitmap
format) and computed results (as tab-delimited text or PICT).
- Compact datafiles dramatically reduces the size of datafiles to make them easier to store and share with others.
- Graphical Control: Customized graphical controls so you can build your own dynamic graphics.
- Full control over Font, Size and Scaling for all plots and tables (Mac Only).
- Preferences file to save defaults.
- Selector button allows subset analysis.
- Group button allows parallel category analysis.
- HotSet variables allow subsets and categories to be changed dynamically.
- Colors can be added to any display by group if the variable is discrete or by rank if the variable is continuous.
- Symbols: assign any plot symbol to the selected points in
the plot. Data plotted with that symbol will show this symbol in all
other plots.
- Slide Show Presentations let you step through sets of windows, including text windows that provide commentary and advice.
- Notebook Windows: Record history of analysis, group plots
and text together for printing. Plots and tables placed into notebook
are time-stamped and linked to original analyses.
- Documentation: Tutorial Quickstart Guide, Handbook and
Statistics Guide written by a statistics professor. All contain
complete discussions of the statistical methods, examples (with data
included), instructions and a full index.
- Extremely fast computations and display.
- The application takes up about 1 MB of disk
space. Total installation is 4 MB. Requires any Mac running system 7.0
or better with 2 MB of free RAM. Any 486 or Pentium running Windows(TM)
95/98 or Windows NT(TM) 4.0 or better.
- Comprehensive Help system.
- Free technical support for registered users.
Systems Technical Requirements
Macintosh
- Any Macintosh computer running Mac OS X 10.6, 10.7, 10.8, 10.9 or 10.10
- Intel processor
- 2 GB RAM
Windows
- Any PC running Windows Vista/Win7/Win8
- Intel processor
- 2 GB RAM
©2015, Data Description, Inc.
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