flightolz.blogg.se - Spss software download for students free

Build one chart once, and then use your specs to build hundreds more just like it.Drag and drop variables and elements onto the chart creation canvas and preview the chart as it’s built.Create commonly used charts like SPLOMs (scatterplot matrices), histograms, and population pyramids more easily with Chart Builder.Compare two data sets or two data files to identify any discrepancies between them.

Open multiple data sets in a single session to save time and condense steps.

Identify and remove duplicate cases and restructure data files prior to analysis.

Use multiple formatting options to generate custom, presentation-quality reports.

Create reporting tables, charts, and cubes with unique, award-winning pivot technology to help unlock new insights into your data.

Distribute and manipulate information for ad hoc decision making.

Bulk data loading for faster performance when working with very large data sets.

Large files can be compressed to save disk space by sorting them, improving performance, and speeding up scanning.

Types and aggregates can be returned to the database, where they can be done more quickly.

Deploy analytics faster with access to common data types and external programming languages, including Java and IBM Cognos® Business Intelligence.Quickly access, manage, and analyze any type of data set, including survey data, corporate databases, or data downloaded from the web.Use SPSS Statistics Base with other modules, such as IBM SPSS Regression and IBM SPSS Advanced Statistics, to more accurately identify and analyze complex relationships.Develop R programs for use with IBM SPSS Statistics using the R integrated development environment.Apply Monte Carlo simulation techniques to your data to account for uncertainty in forecast models and determine the probability of a particular business outcome when you don’t have all the data.Integrate, explore, and model location and time data using geospatial analysis, including Spatio-Temporal Prediction (STP) and the Generalized Spatial Association Rule (GSAR).Predict numerical outcomes and identify clusters using factor analysis, cluster classification analysis, linear regression, ordinal regression, discriminant analysis, and Nearest Neighbor analysis.Īutomate the prediction of numerical results with the automatic linear modeling (ALM) function.Carry out a wide range of descriptive procedures including: cross tabulations, frequencies, comparison of means, and correlation.We indicate below the main characteristics that the program presents in its specific version for Students and Educational Communities.