survey_analyzer_tools.pyā¢1.54 kB
import pandas as pd
from collections import Counter
class SurveyAnalyzerTools:
def extract_themes(self, responses: list) -> dict:
"""
Extract common themes from survey responses (simple keyword frequency).
"""
keywords = ['usability', 'performance', 'price', 'support']
found = []
for response in responses:
for kw in keywords:
if kw in response.lower():
found.append(kw)
theme_counts = Counter(found)
themes = [theme for theme, count in theme_counts.most_common()]
return {'themes': themes}
def compute_frequencies(self, data: pd.DataFrame) -> dict:
"""
Compute response frequencies and confidence intervals (basic stats).
"""
if 'satisfaction' in data.columns:
satisfied = data['satisfaction'].sum()
total = len(data)
rate = satisfied / total if total else 0
# 95% CI for proportion
import math
ci = 1.96 * ((rate * (1 - rate)) / total) ** 0.5 if total else 0
return {'satisfaction_rate': round(rate, 2), 'ci': round(ci, 2)}
return {'satisfaction_rate': None, 'ci': None}
def generate_summary_report(self, insights: dict) -> dict:
"""
Generate a summary report from insights.
"""
report = f"Survey Summary:\nThemes: {insights.get('themes', [])}\nSatisfaction Rate: {insights.get('satisfaction_rate', 'N/A')}"
return {'report': report}
