Files & data

import os
import stat
from pathlib import Path

def audit_file_permissions(project_root):
    """Walk through project_root and print path, owner, and permissions for every file."""
    results = []
    for root, dirs, files in os.walk(project_root):
        for name in files + dirs:
            full_path = os.path.joi…

import csv
import statistics
from math import sqrt

def detect_outliers(csv_path, column_name, threshold=2.0):
    """Detect outliers in a numeric column using z-score method."""
    values = []
    with open(csv_path, 'r', newline='') as f:
        reader = csv.DictReader(f)
        if column_name not in reader.field…

import csv
from pathlib import Path
import statistics

def clean_csv_numeric(input_path: str, output_path: str, column: str, strategy: str = "mean") -> None:
    """
    Handles missing values in a numeric column of a CSV file.
    Strategies: 'mean', 'median', 'drop', or 'fill' with a specified value.
    """
    row…

import json
from pathlib import Path

def get_valid_json_data(file_path: str) -> dict:
    file = Path(file_path)
    if not file.exists():
        return {"status": "error", "message": f"File not found: {file_path}"}
    
    try:
        data = json.loads(file.read_text())
    except json.JSONDecodeError as e:
     …