This is a Python application that allows you to profile office law firms based on an uploaded Excel file. It applies a series of transformations to the input data and generates a profile for each row in the DataFrame.
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Clone the repository:
git clone https://github.com/caetanyyy/advbox-profiling.git
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Install the required dependencies:
pip install -r requirements.txt
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Run the
app.pyfile:python app.py
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Access the application in your web browser at
http://localhost:8501. -
Upload an Excel file containing the data you want to profile. The file should be in the
.xlsxformat. -
Select the sheet and columns that correspond to the number of lawsuits, number of collaborators, and 12-month revenue.
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Click the "Profile Table" button to apply the transformations and generate the profiled table.
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The profiled table will be displayed on the screen. You can also download it as an Excel file by clicking the "Download Profiled Table" button.