The following process needs to be followed to complete data analysis through Lemon AI:
- Data preparation: Upload CSV/Excel format dataset (e.g. Sales Record Sheet), the system will automatically parse the field structure and data type.
- analyze instructions: Describe the requirement in natural language, e.g. "Count the top 3 products in quarterly sales in each region", support Chinese or English input.
- Result generation: Native LLM automatically selects appropriate algorithms (e.g. Pandas aggregation operations) and outputs visual reports containing pivot tables, line/bar charts.
- Interaction Optimization: The analysis dimensions can be refined through a follow-up question ("Add year-on-year growth rate comparison"), and the system retains the intermediate results to avoid double-counting.
- Exporting Applications: Support for saving charts as PNG/PDF or directly accessing processed structured data for use in downstream systems.
Typical application scenarios include: retail sales trend prediction, manufacturing equipment failure mode analysis, and HR turnover rate attribution analysis. Tests show that the response time of the local DeepSeek-V3 model is less than 30 seconds when processing 100,000 rows of data.
This answer comes from the articleLemon AI: A Locally Running Open Source AI Intelligence Body FrameworkThe
May not be reproduced without permission:AI productivity tools " How to use Lemon AI for business data analytics?
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