diff --git a/scripts/report_dataset_stats.py b/scripts/report_dataset_stats.py
new file mode 100644
index 0000000..9666688
--- /dev/null
+++ b/scripts/report_dataset_stats.py
@@ -0,0 +1,166 @@
+#!/usr/bin/env python3
+"""Affiche quelques statistiques basiques sur les fichiers CSV météo."""
+
+from __future__ import annotations
+
+import argparse
+import csv
+from dataclasses import dataclass
+from datetime import datetime
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+DEFAULT_TARGETS = [
+    ("Données brutes complètes", ROOT / "data/weather_raw_full.csv"),
+    ("Données agrégées par minute", ROOT / "data/weather_minutely.csv"),
+]
+
+
+@dataclass
+class DatasetStats:
+    label: str
+    path: Path
+    size_bytes: int
+    columns: list[str]
+    row_count: int
+    header_detected: bool
+    first_timestamp: datetime | None
+    last_timestamp: datetime | None
+
+
+def human_size(num_bytes: int) -> str:
+    """Retourne une taille lisible (o/Ko/Mo/Go) à partir d'un nombre d'octets."""
+    units = ["o", "Ko", "Mo", "Go", "To"]
+    size = float(num_bytes)
+    for unit in units:
+        if size < 1024 or unit == units[-1]:
+            return f"{size:.1f} {unit}"
+        size /= 1024
+    return f"{num_bytes} o"
+
+
+def format_int(value: int) -> str:
+    """Formate un entier avec des espaces pour les milliers."""
+    return f"{value:,}".replace(",", " ")
+
+
+def parse_timestamp(value: str) -> datetime | None:
+    if not value:
+        return None
+    try:
+        return datetime.fromisoformat(value.strip())
+    except ValueError:
+        return None
+
+
+def collect_stats(label: str, path: Path, delimiter: str, assume_header: bool) -> DatasetStats:
+    if not path.exists():
+        raise FileNotFoundError(path)
+
+    columns: list[str] = []
+    row_count = 0
+    first_ts: datetime | None = None
+    last_ts: datetime | None = None
+    size_bytes = path.stat().st_size
+
+    with path.open("r", encoding="utf-8", newline="") as handle:
+        reader = csv.reader(handle, delimiter=delimiter)
+        first_line = next(reader, None)
+
+        if first_line is None:
+            header_detected = False
+        else:
+            columns = [col.strip() for col in first_line]
+            header_detected = bool(columns) and assume_header
+
+            # Détermine la première ligne de données en fonction du mode d'en-tête.
+            data_row = next(reader, None) if header_detected else first_line
+            if data_row is not None:
+                row_count = 1
+                ts = parse_timestamp(data_row[0]) if data_row else None
+                if ts:
+                    first_ts = last_ts = ts
+
+            for row in reader:
+                row_count += 1
+                ts = parse_timestamp(row[0]) if row else None
+                if ts:
+                    if first_ts is None or ts < first_ts:
+                        first_ts = ts
+                    if last_ts is None or ts > last_ts:
+                        last_ts = ts
+
+    return DatasetStats(
+        label=label,
+        path=path,
+        size_bytes=size_bytes,
+        columns=columns,
+        row_count=row_count,
+        header_detected=header_detected,
+        first_timestamp=first_ts,
+        last_timestamp=last_ts,
+    )
+
+
+def format_path(path: Path) -> str:
+    try:
+        return str(path.relative_to(ROOT))
+    except ValueError:
+        return str(path)
+
+
+def display_stats(stats: DatasetStats) -> None:
+    header = ", ".join(stats.columns) if stats.columns else "-"
+    header_note = " (en-tête détecté)" if stats.header_detected else ""
+    first_ts = stats.first_timestamp.isoformat(sep=" ") if stats.first_timestamp else "-"
+    last_ts = stats.last_timestamp.isoformat(sep=" ") if stats.last_timestamp else "-"
+
+    print(f"\n=== {stats.label}")
+    print(f"- Fichier : {format_path(stats.path)}")
+    print(f"- Taille : {human_size(stats.size_bytes)} ({format_int(stats.size_bytes)} octets)")
+    print(f"- Colonnes : {len(stats.columns)}{header_note}")
+    print(f"  {header}")
+    print(f"- Lignes (hors en-tête) : {format_int(stats.row_count)}")
+    print(f"- Premier enregistrement : {first_ts}")
+    print(f"- Dernier enregistrement  : {last_ts}")
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description="Affiche quelques statistiques basiques sur les CSV météo (taille, colonnes, lignes).",
+    )
+    parser.add_argument(
+        "files",
+        nargs="*",
+        type=Path,
+        help="Fichiers CSV à inspecter (par défaut : les CSV bruts et agrégés du dossier data/).",
+    )
+    parser.add_argument(
+        "--delimiter",
+        default=",",
+        help="Délimiteur des colonnes (par défaut : ',').",
+    )
+    parser.add_argument(
+        "--no-header",
+        action="store_true",
+        help="Ne pas soustraire la première ligne lors du comptage des lignes.",
+    )
+    return parser.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    targets = [(path.name, path) for path in args.files] if args.files else DEFAULT_TARGETS
+    assume_header = not args.no_header
+
+    for label, path in targets:
+        try:
+            stats = collect_stats(label, path, delimiter=args.delimiter, assume_header=assume_header)
+        except FileNotFoundError:
+            print(f"\n✘ Fichier introuvable : {format_path(path)}")
+            continue
+        display_stats(stats)
+
+
+if __name__ == "__main__":
+    main()