Collecting statistical data on China's national economy and social development, integrating statistical resources, data analysis, and decision research.
AI Data, based on the self-developed 'Statistical Big Model' from CNKI, can assist in achieving the intelligence and automation of 'data inquiry' and 'data utilization'. The platform can intelligently provide statistical data question answering, data analysis, data interpretation, and analysis reports, offering users valuable data support and insightful analysis.
The CEIBS Library is currently open for trial use, with the trial period until April 17, 2025. Welcome to use!
Highlights:
- Base Statistical Big Model: This platform is different from existing generative, multimodal big models, focusing on statistical data combined with statistical big models for numerical data-related applications such as data question answering, data analysis, data interpretation, and analysis reports.
- Numerical Data Vector Corpus: The underlying data corpus includes numerical data-related vector corpora such as statistical data libraries, statistical databases, index knowledge bases, analysis model libraries, and statistical information databases.
- Data Traceability: Statistical indicators from different materials, volumes, and chapters can be freely combined, statistical criteria can be uniformly processed, search results can trace data sources, and each data point can be traced back to the corresponding statistical table in the full-text statistical data.
Features:
- Data Question Answering: Input natural language queries for single indicators, specific regions, or scenario-based questions to quickly obtain traceable statistical data. The system also intelligently recommends related indicators, supports multi-round question and answer interactions, allowing users to flexibly set analysis dimensions according to their individual needs, and accurately improve query and data acquisition efficiency.
- Data Interpretation: Data interpretation provides comprehensive, clear, and accurate interpretations of statistical data, involving in-depth understanding and exploration of the data to reveal its underlying meaning and potential value.
- Data Analysis: Combining data question answering with statistical analysis model operations in a question-and-answer format, using mathematical and statistical methods to describe, explain, and predict patterns and trends in the data, presenting data analysis results in multiple forms.
- Analysis Reports: Utilizing natural language processing technology and artificial intelligence, combined with big data analysis results, can automatically generate structured and detailed data analysis reports."
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