diff --git a/Tang-Yijia.md b/Tang-Yijia.md
new file mode 100644
index 0000000000000000000000000000000000000000..a46d45257af1dfb393efb8ea85d6b9aa83c29096
--- /dev/null
+++ b/Tang-Yijia.md
@@ -0,0 +1 @@
+# Tang Yijia
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diff --git a/china.py b/china.py
index 59e5547aa25f59befa5041c50c32ec1edfd84428..828a33f2bdcbd3a0c273e4e39cf75597abd443fe 100644
--- a/china.py
+++ b/china.py
@@ -1,51 +1,75 @@
 import numpy as np
 import csv
 
+
 def load_data(file_path):
     """
     Load repository data and calculate activity metrics
     Columns: repo_name,owner,stars,forks,language,created_at,last_commit,description
     Return: 2D NumPy array of shape (repos, 3) containing [stars, forks, active_days]
-    
+
     加载仓库数据并计算活跃天数
     列：仓库名称,所有者,星标,分支,语言,创建时间,最后提交,描述
     返回：形状为(仓库数, 3)的数组，包含[星标数, 分支数, 活跃天数]
     """
-    pass
+    data = []
+    with open(file_path, 'r', encoding='utf-8') as file:
+        reader = csv.reader(file)
+        next(reader)  # 跳过标题行
+        for row in reader:
+            stars = int(row[2])
+            forks = int(row[3])
+            created_at = np.datetime64(row[5])
+            last_commit = np.datetime64(row[6])
+            active_days = (last_commit - created_at).astype(float)
+            data.append([stars, forks, active_days])
+    return np.array(data)
+
 
 def calculate_statistics(data):
     """
     Calculate repository metrics statistics
     Return: Dictionary containing {
         'means': [stars_mean, forks_mean, days_mean],
-        'medians': [stars_median, forks_median, days_median],
-        'variances': [stars_var, forks_var, days_var],
-        'stds': [stars_std, forks_std, days_std]
+      'medians': [stars_median, forks_median, days_median],
+      'variances': [stars_var, forks_var, days_var],
+      'stds': [stars_std, forks_std, days_std]
     }
-    
+
     计算仓库指标统计量
     返回：包含平均值、中位数、方差、标准差的字典
     """
-    pass
+    means = np.round(np.mean(data, axis=0), 1)
+    medians = np.round(np.median(data, axis=0), 1)
+    variances = np.round(np.var(data, axis=0), 1)
+    stds = np.round(np.std(data, axis=0), 1)
+    return {
+        'means': means,
+      'medians': medians,
+      'variances': variances,
+      'stds': stds
+    }
+
 
 def print_results(stats):
     """
     Print formatted results with proper indentation
-    
+
     按严格格式打印结果，保持正确缩进
     """
     metrics = ['Stars', 'Forks', 'Active Days']
-    for metric, mean, med, var, std in zip(metrics, 
-                                         stats['means'],
-                                         stats['medians'],
-                                         stats['variances'],
-                                         stats['stds']):
+    for metric, mean, med, var, std in zip(metrics,
+                                           stats['means'],
+                                           stats['medians'],
+                                           stats['variances'],
+                                           stats['stds']):
         print(f"{metric}:")
         print(f"    Average: {mean:.1f}")
         print(f"    Median: {med:.1f}")
         print(f"    Variance: {var:.1f}")
         print(f"    Standard Deviation: {std:.1f}")
 
+
 repo_data = load_data('china-repos.csv')
 stats = calculate_statistics(repo_data)
 print_results(stats)
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diff --git a/tls b/tls
new file mode 100644
index 0000000000000000000000000000000000000000..2a3b5572a8b756c39fa9561e4f2402f7a885bf30
--- /dev/null
+++ b/tls
@@ -0,0 +1 @@
+Tong Longsen
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