diff --git a/ejercicios-clase-03-01-datos.ipynb b/ejercicios-clase-03-01-datos.ipynb
index 412c453badee4904d524e18163b1eec4b3cf151f..9e712c3516bad98c5c0f60ef8f654bfc4509cf5c 100644
--- a/ejercicios-clase-03-01-datos.ipynb
+++ b/ejercicios-clase-03-01-datos.ipynb
@@ -187,8 +187,22 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "import matplotlib.animation as animation\n",
-    "\n",
+    "import matplotlib.animation as animation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Generando una función que permita generar imagenes a medida que se adiciona progresivamente la  información de cada estrella"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "def salvar_figura(x,y,co,z,n):\n",
     "    fig = plt.figure(figsize=(12,8))\n",
     "    scat = plt.scatter(x, y,\n",
@@ -208,9 +222,38 @@
     "    plt.yticks(fontsize=10, fontweight='bold')\n",
     "    plt.xlim(14000, 3000)\n",
     "    plt.ylim(0.00001, 10000000)\n",
-    "    plt.ioff() #turning off Interactive Mode for generating figures\n",
-    "    plt.savefig(\"Animation\"+str(n)+\".png\",  format=\"png\")\n",
+    "    \n",
+    "    #Adding the Axes object ax: It is a container that holds the axes, the ticks, the labels, the plot, the legend, etc.\n",
+    "    ax = plt.axes()\n",
     "\n",
+    "    #Method for generate lines only in X and Y axis\n",
+    "    ax.spines['top'].set_visible(False)\n",
+    "    ax.spines['right'].set_visible(False)\n",
+    "\n",
+    "    #Modifying ticks of X axis to eliminate scientific notation \n",
+    "    from matplotlib.ticker import FuncFormatter\n",
+    "    def Wscientific(x, pos):\n",
+    "    return '%1i' % (x)\n",
+    "    formatter = FuncFormatter(Wscientific)\n",
+    "    ax.xaxis.set_major_formatter(formatter)\n",
+    "    plt.setp(ax.get_xminorticklabels(), visible=False)\n",
+    "  \n",
+    "    plt.savefig(\"Animation\"+str(n)+\".png\",  format=\"png\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Introduciendo la data de las estrellas progresivamente para que se generen las imagenes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "VectX=[]\n",
     "VectY=[]\n",
     "VectC=[]\n",
@@ -223,7 +266,14 @@
     "    VectZ.append(radius[n])\n",
     "    salvar_figura(VectX,VectY,VectC,VectZ,n)\n",
     "    n=n+1\n",
-    "plt.show()\n"
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Generando la animación a partir de la información de las imagenes"
    ]
   },
   {