diff --git a/analysis.py b/analysis.py
index 276fa36..470a567 100644
--- a/analysis.py
+++ b/analysis.py
@@ -93,14 +93,18 @@
     scores["C"] = scores.loc[:, "C01":"C08"].sum(axis=1)  # C群
     scores["Total"] = scores.loc[:, "A":"C"].sum(axis=1)  # 総合スコア
     target = df.loc[df_index, "Target"]  # ターゲットスコア
+    # target = 'Total'
     threshold = scores[target].median()  # 中央値を閾値とする
+
     # print(f'Threshold for {target}: {threshold}')
-    # scores['Total'].plot.hist(bins=20, edgecolor='black')  # ヒストグラムを描画
+    # scores[target].plot.hist(bins=20, edgecolor='black')  # ヒストグラムを描画
     # import matplotlib.pyplot as plt
-    # plt.title('Total Score Distribution')
-    # plt.xlabel('Total Score')
+    # plt.title(f'{target} Score Distribution')
+    # plt.xlabel(f'{target} Score')
     # plt.ylabel('Frequency')
     # plt.show()  # ヒストグラムを表示
+    # exit()
+
     scores["label"] = 0
     scores.loc[scores[target] >= threshold, "label"] = 1  # ラベル付け
     # print(scores.head(3))
diff --git a/make_data.py b/make_data.py
index 4bdf2db..34d2c58 100644
--- a/make_data.py
+++ b/make_data.py
@@ -2,7 +2,7 @@
 
 data_dir = r"D:\sync\working\StressFiles" + "\\"
 target_list = ["SmTIAS_WebApp","HandyTCC_WebApp","SmTIAS_PhoneApp","HandyTCC_PhoneApp"]
-survey = pd.read_csv(data_dir + 'survey_data_add.csv')
+survey = pd.read_csv(data_dir + 'survey_data_error_removed.csv')
 
 def make_data(target):
     type = target.split('_')[1]