Cinnamon / kotaemon

An open-source RAG-based tool for chatting with your documents.
https://cinnamon.github.io/kotaemon/
Apache License 2.0
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Two Documents Analysis #518

Open scalenow opened 4 days ago

scalenow commented 4 days ago

Description

Can Kotaemon analyse two documents simultaneously with each other Loaded two documents( excel files ) containing data for claims at the airport from Kaggle .The application only analysed one file and suggested do not have access to other files though did provided a basic comparison

To compare the two files, "tsa_claims2.0.xlsx" and "tsa_claims.xlsx," we need to focus on several key aspects such as data structure, content, and any notable differences in the entries. Based on the provided content, here is a detailed comparison:

Data Structure: Columns and Fields: Both files seem to have similar columns, including claim numbers, dates, locations, types of property, and claim status. However, without seeing the full structure of "tsa_claims.xlsx," we can't confirm if there are any additional or missing columns compared to "tsa_claims2.0.xlsx." Data Format: The date format in "tsa_claims2.0.xlsx" appears to be consistent with standard date-time formatting (e.g., "2003-06-03 00:00:00"), while some entries in "tsa_claims.xlsx" use a different format (e.g., "7/20/2003 0:00"). This could indicate a difference in how dates are recorded or processed in each file. Content and Entries: Claim Details: Both files contain claims related to property damage or loss, with similar types of items involved (e.g., luggage, clothing, jewelry). The status of many claims is marked as "Insufficient," indicating missing information required for processing. Specific Entries: The provided content from "tsa_claims2.0.xlsx" includes specific claim numbers and details, but without the content from "tsa_claims.xlsx," we can't directly compare individual entries. However, if both files contain overlapping claim numbers, it would be important to check for any differences in the details or status of those claims. Data Completeness and Quality: Missing Information: Both files seem to have a significant number of claims marked as "Insufficient," suggesting that missing information is a common issue. It would be useful to compare the proportion of such claims in each file to assess data completeness. Updates and Revisions: If "tsa_claims2.0.xlsx" is an updated version of "tsa_claims.xlsx," it might contain corrections or additional information for certain claims. Checking for any resolved claims or changes in claim status could indicate updates. Conclusion: Without direct access to "tsa_claims.xlsx," the comparison is based on assumptions and the provided content from "tsa_claims2.0.xlsx." To perform a thorough comparison, it would be necessary to examine both files side by side, focusing on the structure, specific entries, and any updates or differences in claim details. If you have access to both files, you can use tools like Excel or Python to automate the comparison process and identify any discrepancies.

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