Background
In the traditional data visualization process, users need to manually import data, select chart types, adjust the format and other steps, which is not only time-consuming but also requires professional software operation experience. VibeChart reshapes this process through AI technology.
Core Solutions
- natural language instruction: Directly describe the requirements in the input box (e.g., "Show the bar chart of sales in the last six months"), and AI will automatically complete the whole process from data matching to chart generation.
- Intelligent Document Parsing: After uploading Excel/CSV/PDF, the built-in data engine automatically cleans dirty data, recognizes key fields and recommends the best chart type.
- Real-time adjustment function: Modify the chart with additional commands (e.g. "Change to horizontal bars" or "Highlight Q3 data") without having to set parameters manually.
operation suggestion
- Prioritize attempts at textual description: use concise language to explain data relationships and the purpose of the presentation (example: "Compare A/B product line revenue share by quarter in 2023")
- Complex data is recommended to be organized into CSV format before uploading, which can reduce AI parsing bias.
- Make good use of modification commands: when the initial chart is unsatisfactory, try to add details to the requirements (e.g., adjusting the range of axes/modifying the position of the legend, etc.)
This answer comes from the articleVibeChart: use AI to quickly convert text and data into charts and graphsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of cumbersome and inefficient manual operations during data visualization?
