diff --git a/eda/autoviz.ipynb b/eda/autoviz.ipynb
index 10405c2..a08b9fd 100644
--- a/eda/autoviz.ipynb
+++ b/eda/autoviz.ipynb
@@ -47,7 +47,7 @@
     "\n",
     "os.getcwd()\n",
     "\n",
-    "from src.config import REPORT_PATH, FIGURE_PATH, TARGET_FEATURES\n",
+    "from src.config import REPORT_PATH, FIGURE_PATH, TARGET_FEATURE\n",
     "from src.data.data_loader import create_data_loader"
    ]
   },
@@ -83,22 +83,21 @@
    "source": [
     "AV = AutoViz_Class()\n",
     "\n",
-    "for target_variable in TARGET_FEATURES:\n",
     "\n",
-    "    custom_plot_dir = FIGURE_PATH\n",
+    "custom_plot_dir = FIGURE_PATH\n",
     "\n",
-    "    dft = AV.AutoViz(\n",
-    "        \"\", # Empty string for filename to signal that we are passing a dataframe\n",
-    "        sep=\",\",\n",
-    "        depVar=target_variable,\n",
-    "        dfte=training_data,\n",
-    "        verbose=2,\n",
-    "        lowess=False,\n",
-    "        chart_format=\"html\",\n",
-    "        max_rows_analyzed=150000,\n",
-    "        max_cols_analyzed=training_data.shape[1],\n",
-    "        save_plot_dir=custom_plot_dir\n",
-    "    )"
+    "dft = AV.AutoViz(\n",
+    "    \"\", # Empty string for filename to signal that we are passing a dataframe\n",
+    "    sep=\",\",\n",
+    "    depVar=TARGET_FEATURE,\n",
+    "    dfte=training_data,\n",
+    "    verbose=2,\n",
+    "    lowess=False,\n",
+    "    chart_format=\"html\",\n",
+    "    max_rows_analyzed=150000,\n",
+    "    max_cols_analyzed=training_data.shape[1],\n",
+    "    save_plot_dir=custom_plot_dir\n",
+    ")"
    ]
   }
  ],
diff --git a/eda/sweetviz.ipynb b/eda/sweetviz.ipynb
index fa11117..19de6fb 100644
--- a/eda/sweetviz.ipynb
+++ b/eda/sweetviz.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "os.getcwd()\n",
     "\n",
-    "from src.config import REPORT_PATH, TARGET_FEATURES\n",
+    "from src.config import REPORT_PATH, TARGET_FEATURE\n",
     "from src.data.data_loader import create_data_loader"
    ]
   },
@@ -80,9 +80,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "for feature_name in TARGET_FEATURES:\n",
-    "    report = sv.analyze(training_data, target_feat=feature_name)\n",
-    "    report.show_html(f\"{REPORT_PATH}sweetviz_{feature_name}.html\")"
+    "report = sv.analyze(training_data, target_feat=TARGET_FEATURE)\n",
+    "report.show_html(f\"{REPORT_PATH}sweetviz_{TARGET_FEATURE}.html\")"
    ]
   }
  ],