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Publish four-week data analysis course and revised student slides
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"""資料分析:讀取公開資料,查詢各縣市學生人數。"""
import csv
from pathlib import Path
DATA_FILE = Path("data/students_by_county.csv")
SAMPLE_YEAR = "114"
SAMPLE_FIELD = "國小[人]"
def load_rows(path=DATA_FILE):
"""讀取 CSV;utf-8-sig 也能正確處理政府資料常見的 BOM。"""
with open(path, encoding="utf-8-sig", newline="") as file:
return list(csv.DictReader(file))
def parse_count(value):
"""將有人數的欄位轉成整數;空白或非數字代表未知,不當成 0。"""
cleaned = (value or "").strip().replace(",", "")
if not cleaned or cleaned == "-":
return None
try:
return int(cleaned)
except ValueError:
return None
def count_by_county(rows, school_year, field):
"""依學年度篩選,再回傳各縣市的人數排序。"""
totals = {}
for row in rows:
if row.get("學年度", "").strip() != str(school_year):
continue
count = parse_count(row.get(field))
county = row.get("縣市別", "").strip()
if county and count is not None:
totals[county] = count
return sorted(totals.items(), key=lambda item: item[1], reverse=True)
def get_count(rows, school_year, county, field):
"""取得指定學年度、縣市及欄位的人數;找不到時回傳 None。"""
for row in rows:
if row.get("學年度", "").strip() != str(school_year):
continue
if row.get("縣市別", "").strip() == county:
return parse_count(row.get(field))
return None
def print_text_chart(results, limit=8):
"""在 Console 印出簡單長條圖,讓每筆數字都能被核對。"""
if not results:
print("沒有符合條件的資料,請檢查學年度和欄位名稱。")
return
visible = results[:limit]
largest = max(value for _, value in visible)
print("縣市 人數 | 比例長條")
for county, value in visible:
bar_length = round(value / largest * 24) if largest else 0
print(f"{county:<6} {value:>8,} | {'█' * bar_length}")
def main():
rows = load_rows()
fields = list(rows[0]) if rows else []
print("=== 資料分析:縣市學生人數 ===")
print(f"讀入 {len(rows)} 列資料")
print(f"欄位:{', '.join(fields)}")
print()
# 範例問題:114 學年度,哪些縣市的國小學生人數最多?
question = f"{SAMPLE_YEAR} 學年度,哪些縣市的 {SAMPLE_FIELD} 最多?"
results = count_by_county(rows, SAMPLE_YEAR, SAMPLE_FIELD)
print(f"範例問題:{question}")
print_text_chart(results)
# 你的下一步:換一個學年度、教育階段或可比較的欄位,
# 先寫下預測,再執行並核對其中一筆原始資料。
if __name__ == "__main__":
main()