fix: change versions. #2

notebooks/01_eda_v2.ipynb

@@ -372,7 +372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "76f135bb",
    "metadata": {},
    "outputs": [
@@ -418,7 +418,7 @@
     "    axes[1].text(v + 2, i, str(v), va='center')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/01_distribucion_target.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/01_distribucion_target.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n",
     "print(\"✅ Guardado en reports/01_distribucion_target.png\")\n"
    ]
@@ -517,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "8d6b4108",
    "metadata": {},
    "outputs": [
@@ -575,7 +575,7 @@
     "axes[1,1].set_ylabel('Nº palabras')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/02_longitud_texto.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/02_longitud_texto.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n",
     "print(\"✅ Guardado en reports/02_longitud_texto.png\")\n"
    ]
@@ -659,7 +659,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "82c3951c",
    "metadata": {},
    "outputs": [
@@ -719,9 +719,9 @@
     "axes[1].axis('off')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/03_wordclouds.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/03_wordclouds.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n",
-    "print(\"✅ Guardado en reports/v1/03_wordclouds.png\")\n"
+    "print(\"✅ Guardado en reports/v2/03_wordclouds.png\")\n"
    ]
   },
   {
@@ -810,7 +810,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "f667be4d",
    "metadata": {},
    "outputs": [
@@ -847,14 +847,14 @@
     "            annot_kws={'size': 11})\n",
     "ax.set_title('Correlación entre labels de toxicidad', fontweight='bold', pad=15)\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/04_correlacion_sublabels.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/04_correlacion_sublabels.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n",
-    "print(\"✅ Guardado en reports/v1/04_correlacion_sublabels.png\")\n"
+    "print(\"✅ Guardado en reports/v2/04_correlacion_sublabels.png\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "be01eb96",
    "metadata": {},
    "outputs": [
@@ -882,7 +882,7 @@
     "for x, y in zip(label_dist.index, label_dist.values):\n",
     "    ax.text(x, y + 1, str(y), ha='center', fontweight='bold')\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/05_multilabel_overlap.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/05_multilabel_overlap.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n"
    ]
   },
@@ -981,7 +981,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "d9d5856f",
    "metadata": {},
    "outputs": [
@@ -1007,7 +1007,7 @@
     "ax.axhline(50, color='gray', linestyle='--', alpha=0.5, label='50%')\n",
     "ax.legend()\n",
     "plt.tight_layout()\n",
-    "plt.savefig('../reports/v1/06_toxicidad_por_video.png', dpi=150, bbox_inches='tight')\n",
+    "plt.savefig('../reports/v2/06_toxicidad_por_video.png', dpi=150, bbox_inches='tight')\n",
     "plt.show()\n"
    ]
   },
@@ -1207,7 +1207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "2cb72391",
    "metadata": {},
    "outputs": [
@@ -1223,7 +1223,7 @@
     "# Guardar dataset con columnas auxiliares para usar en las siguientes fases\n",
     "df_clean = df.copy()\n",
     "# Guardamos char_length y word_count por si son útiles como features adicionales\n",
-    "df_clean.to_csv('../data/processed/v1/comments_with_stats.csv', index=False)\n",
+    "df_clean.to_csv('../data/processed/v2/comments_with_stats.csv', index=False)\n",
     "print(\"✅ Dataset con estadísticas guardado en data/processed/comments_with_stats.csv\")\n"
    ]
   }