{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b3e3cb75",
   "metadata": {},
   "source": [
    "# Proyecto final: análisis visual de ventas\n",
    "\n",
    "Construyes una figura estática para un informe (Matplotlib + Seaborn) y una versión interactiva (Plotly). Los datos se generan con semilla fija para que el notebook sea reproducible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "21139586",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T14:55:11.033315Z",
     "iopub.status.busy": "2026-09-29T14:55:11.033160Z",
     "iopub.status.idle": "2026-09-29T14:55:13.194286Z",
     "shell.execute_reply": "2026-09-29T14:55:13.191047Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>categoria</th>\n",
       "      <th>ventas</th>\n",
       "      <th>mes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2025-01-01</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>123.047171</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2025-01-02</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>109.682577</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2025-01-03</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>127.669347</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2025-01-04</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>144.652900</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2025-01-05</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>115.819318</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fecha    categoria      ventas  mes\n",
       "0 2025-01-01  Electrónica  123.047171    1\n",
       "1 2025-01-02  Electrónica  109.682577    1\n",
       "2 2025-01-03  Electrónica  127.669347    1\n",
       "3 2025-01-04  Electrónica  144.652900    1\n",
       "4 2025-01-05  Electrónica  115.819318    1"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "\n",
    "pio.renderers.default = \"notebook_connected\"\n",
    "rng = np.random.default_rng(42)\n",
    "fechas = pd.date_range(\"2025-01-01\", \"2025-12-31\", freq=\"D\")\n",
    "filas = []\n",
    "for categoria, base in [(\"Electrónica\", 120), (\"Hogar\", 80), (\"Deportes\", 60)]:\n",
    "    tendencia = np.linspace(0, 30, len(fechas))\n",
    "    semanal = 15 * (fechas.dayofweek >= 5)\n",
    "    ventas = base + tendencia + semanal + rng.normal(0, 10, len(fechas))\n",
    "    filas.append(pd.DataFrame({\"fecha\": fechas, \"categoria\": categoria, \"ventas\": ventas}))\n",
    "df = pd.concat(filas, ignore_index=True)\n",
    "df[\"mes\"] = df[\"fecha\"].dt.month\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "612ec5a7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T14:55:13.200922Z",
     "iopub.status.busy": "2026-09-29T14:55:13.200287Z",
     "iopub.status.idle": "2026-09-29T14:55:13.270286Z",
     "shell.execute_reply": "2026-09-29T14:55:13.267061Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>categoria</th>\n",
       "      <th>Deportes</th>\n",
       "      <th>Electrónica</th>\n",
       "      <th>Hogar</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mes</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2082.0</td>\n",
       "      <td>3905.0</td>\n",
       "      <td>2642.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1953.0</td>\n",
       "      <td>3586.0</td>\n",
       "      <td>2423.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2172.0</td>\n",
       "      <td>4038.0</td>\n",
       "      <td>2847.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2219.0</td>\n",
       "      <td>3897.0</td>\n",
       "      <td>2795.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2253.0</td>\n",
       "      <td>4195.0</td>\n",
       "      <td>2905.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "categoria  Deportes  Electrónica   Hogar\n",
       "mes                                     \n",
       "1            2082.0       3905.0  2642.0\n",
       "2            1953.0       3586.0  2423.0\n",
       "3            2172.0       4038.0  2847.0\n",
       "4            2219.0       3897.0  2795.0\n",
       "5            2253.0       4195.0  2905.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mensual = df.groupby([\"mes\", \"categoria\"], as_index=False)[\"ventas\"].sum()\n",
    "mensual.pivot(index=\"mes\", columns=\"categoria\", values=\"ventas\").round(0).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06205259",
   "metadata": {},
   "source": [
    "## Figura estática para el informe\n",
    "\n",
    "Títulos que dicen la conclusión, no solo el tema."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "35a881e8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T14:55:13.277023Z",
     "iopub.status.busy": "2026-09-29T14:55:13.276064Z",
     "iopub.status.idle": "2026-09-29T14:55:15.310966Z",
     "shell.execute_reply": "2026-09-29T14:55:15.307925Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\")\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4.5))\n",
    "sns.lineplot(data=mensual, x=\"mes\", y=\"ventas\", hue=\"categoria\", marker=\"o\", ax=ax1)\n",
    "ax1.set_title(\"Todas las categorías crecen durante el año\")\n",
    "ax1.set_xlabel(\"Mes\"); ax1.set_ylabel(\"Ventas del mes\")\n",
    "sns.boxplot(data=df, x=\"categoria\", y=\"ventas\", ax=ax2)\n",
    "ax2.set_title(\"Electrónica vende más cada día\")\n",
    "ax2.set_xlabel(\"\"); ax2.set_ylabel(\"Ventas diarias\")\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"informe_ventas.png\", dpi=150)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "012b4fbe",
   "metadata": {},
   "source": [
    "## Versión interactiva\n",
    "\n",
    "Haz clic en la leyenda para ocultar o mostrar categorías y pasa el ratón para ver cada valor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cf8db748",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T14:55:15.317923Z",
     "iopub.status.busy": "2026-09-29T14:55:15.317035Z",
     "iopub.status.idle": "2026-09-29T14:55:17.555738Z",
     "shell.execute_reply": "2026-09-29T14:55:17.552551Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script>\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        </script>\n",
       "        <script type=\"module\">import \"https://cdn.plot.ly/plotly-3.5.0.min\"</script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-3.5.0.min.js\" integrity=\"sha256-fHbNLP+GlIXN+efbQec78UkemUz3NJp7UmfGxC1tNxs=\" crossorigin=\"anonymous\"></script>                <div id=\"8f80a1e2-cd4b-44d4-83eb-323ff39cb1ad\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script>                window.PLOTLYENV=window.PLOTLYENV || {};                                if (document.getElementById(\"8f80a1e2-cd4b-44d4-83eb-323ff39cb1ad\")) {                    Plotly.newPlot(                        \"8f80a1e2-cd4b-44d4-83eb-323ff39cb1ad\",                        [{\"hovertemplate\":\"Categoría=Deportes\\u003cbr\\u003eMes=%{x}\\u003cbr\\u003eVentas del 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   "source": [
    "fig = px.line(mensual, x=\"mes\", y=\"ventas\", color=\"categoria\", markers=True,\n",
    "              labels={\"mes\": \"Mes\", \"ventas\": \"Ventas del mes\", \"categoria\": \"Categoría\"},\n",
    "              title=\"Ventas mensuales por categoría\")\n",
    "fig.write_html(\"ventas_interactivo.html\")\n",
    "fig.show()"
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   "id": "6a394b03",
   "metadata": {},
   "source": [
    "## Conclusiones y revisión\n",
    "\n",
    "- Las tres categorías crecen durante el año y Electrónica lidera.\n",
    "- Antes de entregar: reinicia el kernel y ejecuta todo; verifica títulos, etiquetas y unidades; abre el HTML en el navegador."
   ]
  }
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