Dominance Analysis helps determine which predictors have the strongest influence in regression and classification models. Traditional approaches require complex calculations in Excel, including building subset models and computing incremental R-squared contributions. While Excel can handle these tasks, it requires extensive formula knowledge and can be computationally slow for large datasets.
Sourcetable offers a revolutionary AI alternative that makes Dominance Analysis accessible to everyone. Instead of wrestling with complex Excel formulas and features, simply tell Sourcetable's AI chatbot what you want to analyze. Upload any size data file or connect your database, and the AI assistant will handle the analysis, create visualizations, and generate insights - no spreadsheet skills required.
Learn how to perform fast, accurate Dominance Analysis with Sourcetable's AI-powered platform at https://app.sourcetable.cloud/signup.
Sourcetable transforms Dominance Analysis through conversational AI. Unlike Excel's complex functions, Sourcetable lets you interact with an AI chatbot to analyze data and determine predictor importance. Simply upload your dataset or connect your database, then tell Sourcetable what you want to analyze - the AI handles everything else.
Sourcetable's AI chatbot eliminates the need to learn complex statistical functions or formulas. Instead of manually implementing Dominance Analysis, you describe your analysis goals in plain language. The AI automatically performs calculations, identifies patterns, and generates insights about predictor importance, making analysis more efficient than Excel's manual approach.
While Excel requires manual chart creation, Sourcetable generates stunning visualizations through natural language commands. Simply tell the AI chatbot what visualizations you need, and it creates interactive dashboards that clearly display predictor relationships and importance rankings. This conversational approach makes complex statistical visualization accessible to anyone.
Sourcetable excels in key driver analysis and marginal resource allocation models. The AI chatbot can handle any size dataset through file uploads or database connections, making it ideal for PCA integration and factor analysis. By removing technical barriers, Sourcetable makes professional Dominance Analysis accessible to both experts and newcomers.
Dominance Analysis identifies crucial predictors in multiple and logistic regression models by examining total, direct, and partial effects. It reveals individual predictor contributions that standard multiple regression cannot determine. In healthcare settings, Dominance Analysis effectively identifies key factors affecting patient safety, such as hospital management support and staffing adequacy.
Sourcetable's AI-powered platform simplifies Dominance Analysis through natural language interaction. Instead of wrestling with complex functions and formulas, users can simply tell Sourcetable's AI chatbot what analysis they want to perform, and the platform handles the rest.
Unlike Excel's manual approach, Sourcetable automates complex analysis tasks through AI conversation. Users can upload data files of any size or connect to databases, then use natural language to request data analysis, generate visualizations, and create comprehensive reports. The AI assistant understands your needs and transforms complex analyses into actionable insights.
Sourcetable streamlines the entire analytical workflow by eliminating the need to learn complicated spreadsheet functions. Whether you're creating spreadsheets from scratch, analyzing existing data, or turning findings into stunning visualizations, Sourcetable's AI chatbot guides you through the process with simple conversation, making it a powerful alternative to traditional spreadsheet tools.
Dominance Analysis determines the relative importance of predictors through their additional contributions across subset models. Through Sourcetable's AI-powered interface, you can easily conduct this analysis by simply describing your analytical needs to the built-in chatbot.
After uploading the Breast Cancer Wisconsin dataset to Sourcetable, you can request Dominance Analysis with logistic regression through natural language commands. The AI will automatically handle the Chi-Squared statistics for predictor selection and determine relative feature importance.
With the Boston Housing dataset loaded into Sourcetable, the AI assistant can perform Dominance Analysis to reveal the relative importance of housing price predictors. Simply ask the chatbot to analyze predictor importance, and it will manage the F-regression selection and R-squared comparisons automatically.
Sourcetable's AI can execute complex analyses including Dominance Statistics, Dominance Level, Incremental R-squared, and Dominance Curve analyses. Rather than manually configuring these techniques, you can request sophisticated analyses through conversational prompts to the AI assistant.
Automated Business Driver Analysis |
Tell Sourcetable's AI to identify key business drivers through Dominance Analysis. Simply upload your data and ask the AI to decompose total explained variation |
AI-Powered Feature Selection |
Let Sourcetable's AI assistant perform Dominance Analysis to automatically select the most important predictors in your models. Upload your dataset and ask the AI to identify which variables contribute most to your model's explanatory power. |
Complex Variable Analysis |
Use natural language commands to direct Sourcetable's AI in analyzing predictor importance in correlated datasets. The AI handles all computational complexity while accounting for variable interactions and delivering reliable attribution values. |
Intelligent Dimension Reduction |
Ask Sourcetable's AI to combine Dominance Analysis with PCA or Factor Analysis for smarter feature reduction. The AI assistant will identify and retain key variables while simplifying your model structure. |
Dominance Analysis (DA) is a statistical method that determines the relative importance of predictors in regression and classification models. It helps disentangle the total explained variation in outcomes by assigning a share of explained variance to each predictor variable. DA is valuable because it is statistically simple, flexible, and works with virtually any regression model or fit statistic.
Dominance Analysis can be used with multiple types of analyses including linear regression, logistic regression, binary response variables, correlation matrices, covariance matrices, PCA, Factor Analysis, and other feature reduction algorithms. It's particularly useful for key driver analysis, marginal resource allocation models, and comparing predictors in multiple regression.
In Sourcetable, you can easily perform Dominance Analysis by uploading your data file or connecting your database, then simply telling the AI chatbot what analysis you want to perform. Sourcetable's AI will handle the complex calculations and can generate the appropriate visualizations and insights from your Dominance Analysis, all through natural language commands instead of complex functions or add-ons.
While Excel with XLSTAT can perform Dominance Analysis through its statistical add-on, modern alternatives like Sourcetable offer a more intuitive approach. Sourcetable's AI chatbot lets users perform complex statistical analyses like DA through natural conversation, eliminating the need to learn Excel formulas or statistical functions. Its cloud computing infrastructure processes large datasets faster than traditional spreadsheet software.
Sourcetable's AI capabilities help users analyze data by simply describing what they want to accomplish. Users can upload files of any size or connect to databases, and the AI chatbot will guide them through the analysis process. For analysts seeking efficient Dominance Analysis solutions without complex Excel skills, try Sourcetable's AI-powered platform to transform how you work with data.