🔥 Fixes numpy not loading dataset

analysis.py

@@ -0,0 +1,55 @@
+from typing import List
+import scipy.stats as stats
+import numpy as np
+import matplotlib.pyplot as plt
+
+counties = {
+    "BA": 0,
+    "TN": 1,
+    "TT": 2,
+    "NR": 3,
+    "BB": 4,
+    "ZA": 5,
+    "PO": 6,
+    "KE": 7
+}
+counties_k = list(counties.keys())
+
+
+def map_counties(arr: List[str]) -> List[int]:
+    ret = []
+    for county in arr:
+        ret.append(counties[county])
+    return ret
+
+
+raw_data = []
+with open("parsed.txt") as stream:
+    for line in stream.readlines():
+        if not line:
+            continue
+
+        split = line.strip().split(" ")
+        year = int(split[0])
+        category = int(split[1])
+        wins_raw = split[2].split(",")
+
+        raw_data.append([year, category, *map_counties(wins_raw)])
+
+
+# 0 - year
+# 1 - abteilung id
+# 2-7 - first to last place county ids
+data = np.array(raw_data)
+
+print("Testing place distribution for normality by county")
+for id in range(8):
+    places = []
+    for sample in data:
+        for i, v in enumerate(sample[2:7]):
+            if v == id:
+               places.append(i)
+
+    # null hypothesis is that the sample comes from a normal distribution
+    F, p = stats.normaltest(places)
+    print(f"{counties_k[id]}: {p:.4f} - {"not " if p < 0.05 else ""}normally distributed")