The Traceis™ Data Exploration Studio 2009 (Alpha) is designed to be used with the books Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining and Making Sense of Data II: A Practical Guide to Data Visualization, Advance Data Mining Methods, and Applications , providing hands-on experience of the techniques described. The software is currently being alpha tested and can be accessed using the links at the top of the page.

• Integrated tools: Contains a core set of data visualization, data analysis, and data mining tools for making predictions, and finding patterns and trends
• Easy-to-use user interface: A simple user interface guides you through analyzing data
• Visual and interactive: All views are linked, allowing you to look at the data from multiple angles

• Loading data: Use with data sets up to 20,000 rows and 3,000 columns
• Preparing the data: Methods for preparing a data set prior to analysis including searching, removing, cleaning, and transforming the data
• Tables and graphs: The following methods for summarizing data sets are provided: contingency tables, summary tables, frequency polygrams, histograms, scatterplots, box plots, and multiple graphs
• Statistics: The statistical methods available include descriptive statistics, confidence intervals, hypothesis tests, chi-square, one-way analysis of variance, and comparative statistics
• Grouping:The following grouping methods are available: hierarchical agglomerative clustering, k-means clustering, fuzzy clustering, associative rules, and decision trees
• Prediction: Methods for building and applying predictive models are provided including multiple linear regression, discriminant analysis, logistic regression, naive Bayes, k-nearest neighbors, classification trees, regression trees, and neural networks