Support Excel File Upload in Data Analysis Agent
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 72/100
Research direction
In community/data-analysis-agent, find the Streamlit file uploader and the surrounding data-loading entry point. Read how the current CSV upload is handled, then verify the uploader accepts CSV and Excel extensions and that each format uses the corresponding pandas loader. Done means both CSV and Excel files can be uploaded and analyzed without changing existing CSV behavior.
Written by the indexing model from the issue text.
Description
Description:
The current implementation of the data-analysis-agent in community/data-analysis-agent only allows CSV files for upload and analysis:
file = st.file_uploader("Choose CSV", type=["csv"])
However, many data analysts frequently work with Microsoft Excel files (.xlsx or .xls) in addition to CSV. To enhance usability and broaden adoption, the file uploader should support both CSV and Excel formats.
Proposed Enhancement:
Update the st.file_uploader line to accept both csv and xlsx file types.
Add logic to detect the file extension and load using either:
pd.read_csv(file) for CSV
pd.read_excel(file) for Excel
Benefit:
This change will make the tool more flexible for data analysts and users who prefer working with Excel formats, which are common in business and research environments.
- Dominant language
- Jupyter Notebook
- Stars
- 4.2k
- Forks
- 1.1k
- Avg merge
- 10h 15m
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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