Data Explorer

Explore and analyze your datasets to find patterns within and between variables, utilizing industry-standard statistical techniques without the need for advanced expertise. Data Explorer offers a user-friendly platform for data analysis.

Key features include:

• Importing various data file formats (csv, txt, xls, xlsx)
• Manual data entry and editing capabilities
• Browsing data sets, applying filters for targeted exploration
• Obtaining key statistics for each variable and visualizing its distribution
• Handling numerical, categorical, or date/time variables
• Conducting hypothesis tests for means, proportions, one, two, and paired samples
• Generating two-way frequency tables with phi and Cramer's V statistics
• Examining the distribution of numerical variables by categories, including one-way ANOVA, box plots, and density plots
• Analyzing the correlation between two numerical variables
• Evaluating how a numerical variable changes with other variables through linear and logistic regression
• Performing variable transformations such as calculating squares, logs, and other common transformations for regression and correlation.

All analyses are presented in both statistical terms and plain English with the flexibility to apply multiple filters to focus on specific aspects of the data.

Data can be input manually or imported in various formats such as CSV, TXT, XLS, and XLSX. The current version has limits of 100,000 rows and 500 columns for optimal performance.

Export options include:

• Sending variable summaries and analysis results via email in PDF or CSV formats
• Printing variable summaries and analysis results
• Emailing CSV copies of entered or edited datasets

We are continuously enhancing the application with additional features in the pipeline. Your feedback is valuable in shaping our development priorities, so feel free to share your insights on features that matter to you!