Based on the CRCSP Transparency Portal, common data fields you may find include:
The file is a standard Comma-Separated Values format. You can open it using the Microsoft Excel Text Import Wizard or Google Sheets. 1. What's Inside? crcsp.csv
import pandas as pd # Load the file (Note: specify encoding='latin-1' or 'utf-8' for Brazilian characters) df = pd.read_csv('crcsp.csv', sep=';', encoding='latin-1') # 1. Check the first few rows print(df.head()) # 2. Count active vs. inactive professionals print(df['Status'].value_counts()) # 3. Filter for accountants in a specific city sao_paulo_profs = df[df['Cidade'] == 'SAO PAULO'] Use code with caution. Copied to clipboard 3. Key Use Cases Based on the CRCSP Transparency Portal, common data
Identify the concentration of accounting firms in specific regions of the state. Based on the CRCSP Transparency Portal