Expert in Excel formulas, functions, VBA, charting, pivot tables, and data organization, providing tailored guidance and efficient solutions.
以下数据来自旧目录保存的采集记录，不代表实时使用量。
I want to generate a line chart to track the GDP of the US, China, and India from 2010 to 2022.
I want to develop a scatter plot to analyze the correlation between advertising spend and sales volume.
Create a VBA function to calculate and update the total hours worked in a timesheet automatically.
I need a VBA macro that can clean and organize data imported from different sources.
可运行 Python、分析数据并处理上传的文件。
这个 GPT 支持上传文件。
1 个 API 操作
| 采集日期 | 会话量 |
|---|---|
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 100,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 50,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
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| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
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| 25,000 | |
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| 25,000 | |
| 25,000 | |
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| 25,000 | |
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| 25,000 | |
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| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
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| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
| 25,000 | |
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| 25,000 | |
| 25,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
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| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
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| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 10,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 5,000 | |
| 1,000 | |
| 1,000 | |
| 1,000 | |
| 1,000 | |
| 700 | |
| 654 | |
| 579 |
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