{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 73 }, "id": "38gKgbSiWPi9", "outputId": "eafc9699-3833-4582-9a57-27e4e26a632d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "\n", " \n", " \n", " Upload widget is only available when the cell has been executed in the\n", " current browser session. Please rerun this cell to enable.\n", " \n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Saving Base empresas BIC emis.xlsx to Base empresas BIC emis.xlsx\n" ] } ], "source": [ "import pandas as pd\n", "from google.colab import files\n", "\n", "# Cargar archivo desde dispositivo\n", "uploaded = files.upload()\n", "\n", "# Detectar nombre del archivo cargado\n", "nombre_archivo = list(uploaded.keys())[0]\n", "\n", "# Leer la hoja \"listado\"\n", "df_raw = pd.read_excel(nombre_archivo, sheet_name=\"Listado\", header=0)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Wu-Onc9IbJs1" }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aHllIbG8bTxR", "outputId": "7c79f1c6-af6b-4900-fa86-a51eefa1921f" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "['Listado']" ] }, "metadata": {}, "execution_count": 3 } ], "source": [ "# Cargar el archivo subido\n", "file_path = list(uploaded.keys())[0]\n", "xls = pd.ExcelFile(file_path)\n", "\n", "# Ver nombres de hojas\n", "xls.sheet_names\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3NdWF7llc60G", "outputId": "1f574fbd-f7a9-4d45-dc3f-40ffe5ac37c6", "collapsed": true }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Columnas disponibles:\n", "Index(['Num', 'País', 'CO-NIT', 'Compañía', 'Códigos de Industria (Local)',\n", " 'Códigos de Actividades Principales (Local)', 'sección',\n", " 'Fecha de Incorporación', 'Estatus Operacional', 'Activos Totales',\n", " 'Propiedad, planta y equipo', 'Total de patrimonio', 'Pasivos Totales',\n", " 'Total Ingreso Operativo', 'Ganancia (Pérdida) Neta',\n", " 'Rendimiento Sobre Los Activos (ROA) (%)',\n", " 'Rendimiento Sobre El Patrimonio (ROE) (%)', 'Margen Ebitda (%)',\n", " 'Rendimiento Sobre Activos Anualizado (%)',\n", " 'Rendimiento Sobre El Patrimonio Anualizado (%)',\n", " 'Rendimiento Sobre El Capital Empleado (%)',\n", " 'Margen De Ganancia Bruta (%)', 'Margen Operacional (%)',\n", " 'Margen Neto (%)', 'ROA Operativo (%)', 'Rotación De Inventario (x)',\n", " 'Rotación De Cuentas Por Cobrar (x)',\n", " 'Rotación Del Activo Corriente (x)',\n", " 'Rotación Del Activo No Corriente (x)', 'Rotación De Activos (x)',\n", " 'Rotación De Cuentas Por Pagar (x)',\n", " 'Rotación Del Capital De Trabajo (x)', 'Valor Contable',\n", " 'Efectivo Neto', 'Deuda', 'Deuda A Largo Plazo', 'Deuda A Corto Plazo',\n", " 'Deuda Neta', 'Capital De Trabajo', 'Capital Empleado',\n", " 'Razón De Liquidez (x)', 'Prueba Ácida (x)', 'Razón De Efectivo (x)',\n", " 'Coeficiente De Efectivo (x)',\n", " 'Relación De Flujo De Efectivo Operativo (x)',\n", " 'Modelo Z-Score de Altman', 'Relación Deuda/Activos Totales (%)',\n", " 'Relación Deuda/Capital (%)',\n", " 'Relación Deuda Largo Plazo/Capital Empleado (%)',\n", " 'Relación Deuda/Ebitda (x)', 'Relación Flujo De Caja/Deuda (%)',\n", " 'Relación Activos/Patrimonio (%)',\n", " 'Tendencia De Los Ingresos Netos (%)',\n", " 'Tendencia De Los Ingresos Operacionales (%)',\n", " 'Tendencia De La Utilidad Bruta (%)', 'Tendencia Del Ebitda (%)',\n", " 'Tendencia De La Utilidad Operacional (%)',\n", " 'Tendencia De La Utilidad Neta (%)', 'Tendencia Cuentas Por Cobrar (%)',\n", " 'Tendencia Del Inventario (%)',\n", " 'Tendencia Propiedad, Planta Y Equipo Neto (PP&E) (%)',\n", " 'Tendencia De Los Activos Totales (%)',\n", " 'Tendencia Del Valor Contable (%)', 'Tendencia Del Patrimonio Neto (%)',\n", " 'Tendencia Del Flujo De Caja Operativo (%)',\n", " 'Razón De Cobertura De Intereses (x)', 'Cobertura De La Deuda (x)',\n", " 'Razón Flujo De Caja Operativo/Ingresos (%)',\n", " 'Razón Flujo De Caja Operativo/Activos (%)',\n", " 'Razón Flujo De Caja Operativo/Patrimonio (%)',\n", " 'Razón Flujo De Caja Operativo/Utilidad Operacional (%)',\n", " 'Relación Efectivo/Total Activos (%)',\n", " 'Relación Cuentas Por Cobrar/Activos Totales (%)',\n", " 'Relación Inventario/Total Activos (%)',\n", " 'Relación Activo fijo/Total activo (%)',\n", " 'Relación Pasivo Corriente/Pasivo total (%)',\n", " 'Razón Salarios Y Prestaciones Laborales/ Ventas (%)',\n", " 'Relación Gastos Administrativos/Ventas (%)',\n", " 'Relación Depreciación Y Amortización/Ventas (%)',\n", " 'Relación Intereses Pagados/Ventas (%)',\n", " 'Relación Impuesto A La Renta/Ventas (%)',\n", " 'Relación Flujo De Caja Operativo/Flujo De Caja Total (%)',\n", " 'Relación Flujo De Efectivo De Inversión/Flujo De Efectivo Total (%)',\n", " 'Relación Flujo De Efectivo De Financiación/Flujo De Efectivo Total (%)',\n", " 'Descripción de la compañía / productos', 'Ciudad',\n", " 'Número de empleados', 'Ganancia operativa (EBIT)',\n", " 'Cotizada / No cotizada', 'Año Fiscal', 'Consolidado', 'Fuente',\n", " 'Número de empleados FIN'],\n", " dtype='object')\n" ] } ], "source": [ "print(\"Columnas disponibles:\")\n", "print(df_raw.columns)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "wEgdbsDTdFXN" }, "outputs": [], "source": [ "df_raw.rename(columns={\n", " 'Año Fiscal': 'Año Fiscal',\n", " 'CO-NIT': 'CO-NIT',\n", " 'Sector Económico': 'sección',\n", " 'Municipio': 'Ciudad'\n", "}, inplace=True)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yEZ5IazAjrrj", "outputId": "a4e94a64-b333-4999-ebe5-7fc7ffe464ae" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Año Fiscal Total empresas\n", "0 2018 272\n", "1 2019 298\n", "2 2020 343\n", "3 2021 367\n", "4 2022 412\n", "5 2023 434\n", "6 2024 449\n", "7 Información intermitente 98\n", "8 No reporta información 2477\n" ] } ], "source": [ "# Total de empresas por año fiscal\n", "totales_por_año = df_raw.groupby('Año Fiscal')['CO-NIT'].nunique().reset_index()\n", "totales_por_año.rename(columns={'CO-NIT': 'Total empresas'}, inplace=True)\n", "\n", "print(totales_por_año)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "uZexh-1HfXaM", "outputId": "adc9f557-a70a-430a-9260-426be5c61f06" }, "outputs": [ { "output_type": "display_data", "data": { "text/html": [ "\n", "\n", "\n", "
\n", "
\n", "\n", "" ] }, "metadata": {} } ], "source": [ "# garfico por sector\n", "\n", "import plotly.graph_objects as go\n", "\n", "# Eliminar duplicados por NIT\n", "df_graf = df_raw.drop_duplicates(subset=\"CO-NIT\")\n", "\n", "# Contar empresas por sección\n", "seccion_counts = df_graf[\"sección\"].value_counts()\n", "\n", "# Calcular el total de empresas\n", "total_empresas = seccion_counts.sum()\n", "\n", "# Crear listas para etiquetas y valores\n", "labels = []\n", "values = []\n", "\n", "# Agrupar sectores con menos del 3%\n", "otros_valor = 0\n", "for sector, count in seccion_counts.items():\n", " porcentaje = count / total_empresas\n", " if porcentaje < 0.03:\n", " otros_valor += count\n", " else:\n", " labels.append(sector)\n", " values.append(count)\n", "\n", "# Agregar 'Otros' si corresponde\n", "if otros_valor > 0:\n", " labels.append(\"Otros <3%\")\n", " values.append(otros_valor)\n", "\n", "# Crear gráfico tipo donut\n", "fig = go.Figure(data=[go.Pie(\n", " labels=labels,\n", " values=values,\n", " hole=0.3,\n", " textinfo='percent',\n", " insidetextorientation='auto'\n", ")])\n", "\n", "fig.update_layout(\n", " title=\"Distribución por sección de empresas BIC\",\n", " height=600\n", ")\n", "\n", "fig.show()\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "X7R6EUcekGND", "outputId": "a428a571-d4da-4ecc-fbec-5da99e71ca79" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
\n", "
\n", "\n", "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Grafico por ciudad\n", "\n", "import plotly.graph_objects as go\n", "\n", "# Eliminar duplicados por NIT\n", "df_graf = df_raw.drop_duplicates(subset=\"CO-NIT\")\n", "\n", "# Contar empresas por ciudad\n", "ciudad_counts = df_graf[\"Ciudad\"].value_counts()\n", "\n", "# Calcular el total de empresas\n", "total_empresas = ciudad_counts.sum()\n", "\n", "# Filtrar ciudades con al menos el 2% del total\n", "ciudad_filtrada = ciudad_counts[ciudad_counts / total_empresas >= 0.02]\n", "\n", "# Crear gráfico de torta tipo donut con etiquetas internas solo de porcentaje\n", "fig = go.Figure(data=[go.Pie(\n", " labels=ciudad_filtrada.index,\n", " values=ciudad_filtrada.values,\n", " hole=0.4,\n", " textinfo='percent',\n", " insidetextorientation='auto'\n", ")])\n", "\n", "fig.update_layout(\n", " title=\"Distribución por ciudad de empresas BIC\",\n", " height=600\n", ")\n", "\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "sq_zwclzkI4s", "outputId": "1f08d29d-a897-40a6-a310-18ab7b3240e8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Año Fiscal Nuevas Recurrentes Salientes Total Empresas\n", "0 2018 272 0 0 272\n", "1 2019 26 272 0 298\n", "2 2020 45 298 0 343\n", "3 2021 28 339 4 367\n", "4 2022 51 361 6 412\n", "5 2023 26 408 4 434\n", "6 2024 26 423 11 449\n" ] } ], "source": [ "# caracterizacion empresas por a;o (nuevas, recurrentes salientes)\n", "\n", "# Normalizar la columna 'Año Fiscal'\n", "df_raw['Año Fiscal'] = pd.to_numeric(df_raw['Año Fiscal'], errors='coerce')\n", "df_raw = df_raw.dropna(subset=['Año Fiscal'])\n", "df_raw['Año Fiscal'] = df_raw['Año Fiscal'].astype(int)\n", "\n", "# Lista de años fiscales ordenados\n", "años_fiscales = sorted(df_raw['Año Fiscal'].unique())\n", "registros = []\n", "\n", "# Paso 1: Clasificar empresas por tipo (nueva, recurrente, saliente)\n", "for i in range(len(años_fiscales)):\n", " año_actual = años_fiscales[i]\n", " actual_ids = set(df_raw[df_raw['Año Fiscal'] == año_actual]['CO-NIT'])\n", "\n", " if i == 0:\n", " # Primer año: todas son nuevas\n", " for nit in actual_ids:\n", " registros.append({\n", " 'Año Fiscal': año_actual,\n", " 'CO-NIT': nit,\n", " 'tipo': 'nueva'\n", " })\n", " else:\n", " año_anterior = años_fiscales[i - 1]\n", " anterior_ids = set(df_raw[df_raw['Año Fiscal'] == año_anterior]['CO-NIT'])\n", "\n", " nuevas = actual_ids - anterior_ids\n", " recurrentes = actual_ids & anterior_ids\n", " salientes = anterior_ids - actual_ids\n", "\n", " for nit in nuevas:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'nueva'})\n", " for nit in recurrentes:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'recurrente'})\n", " for nit in salientes:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'saliente'})\n", "\n", "# Paso 2: Convertir a DataFrame\n", "df_registros = pd.DataFrame(registros)\n", "\n", "# Paso 3: Agrupar por año y tipo\n", "conteo = df_registros.groupby(['Año Fiscal', 'tipo'])['CO-NIT'].nunique().unstack(fill_value=0)\n", "\n", "# Paso 4: Calcular el total acumulado año a año (restando salientes)\n", "totales = []\n", "años = sorted(conteo.index)\n", "total_anterior = 0\n", "\n", "for año in años:\n", " nuevas = conteo.loc[año, 'nueva'] if 'nueva' in conteo.columns else 0\n", " salientes = conteo.loc[año, 'saliente'] if 'saliente' in conteo.columns else 0\n", " recurrentes = conteo.loc[año, 'recurrente'] if 'recurrente' in conteo.columns else 0\n", "\n", " # Total = anterior + nuevas - salientes\n", " total_actual = total_anterior + nuevas - salientes\n", "\n", " totales.append({\n", " 'Año Fiscal': año,\n", " 'Nuevas': nuevas,\n", " 'Recurrentes': recurrentes,\n", " 'Salientes': salientes,\n", " 'Total Empresas': total_actual\n", " })\n", "\n", " total_anterior = total_actual # Actualizamos para el siguiente año\n", "\n", "# Paso 5: Crear DataFrame final\n", "df_totales = pd.DataFrame(totales)\n", "\n", "# Mostrar resultado\n", "print(df_totales)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 607 }, "id": "Jrxq7Z1EkxZY", "outputId": "e10ab3f3-8102-4429-ddd0-5f5ee06a84e7" }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#grafico caracterizacion\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "# Paso 1: Definir columnas a graficar\n", "categorias = ['Nuevas', 'Recurrentes', 'Salientes']\n", "df_plot = df_totales[['Año Fiscal'] + categorias].set_index('Año Fiscal')\n", "\n", "# Paso 2: Crear gráfico de barras\n", "fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", "df_plot.plot(\n", " kind='bar',\n", " ax=ax,\n", " colormap='Set2'\n", ")\n", "\n", "# Paso 3: Personalización\n", "ax.set_title('Cantidad de empresas por tipo y año fiscal')\n", "ax.set_xlabel('Año Fiscal')\n", "ax.set_ylabel('Número de empresas')\n", "ax.set_xticklabels(df_plot.index, rotation=0)\n", "ax.grid(axis='y')\n", "ax.legend(title='Tipo de empresa', loc='upper left')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "5zUoqqBRGDrw" }, "outputs": [], "source": [ "# listado de empresas nuevas, recurrentes y salientes por a;o\n", "\n", "# Lista de años fiscales ordenados\n", "años_fiscales = sorted(df_raw['Año Fiscal'].unique())\n", "registros_detalle = []\n", "\n", "for i in range(len(años_fiscales)):\n", " año_actual = años_fiscales[i]\n", " df_actual = df_raw[df_raw['Año Fiscal'] == año_actual]\n", " actual_ids = set(df_actual['CO-NIT'])\n", "\n", " if i == 0:\n", " for _, row in df_actual.iterrows():\n", " registros_detalle.append({\n", " 'Año Fiscal': año_actual,\n", " 'CO-NIT': row['CO-NIT'],\n", " 'Nombre': row['Compañía'],\n", " 'Sección': row['sección'],\n", " 'Tipo': 'nueva'\n", " })\n", " else:\n", " año_anterior = años_fiscales[i - 1]\n", " df_anterior = df_raw[df_raw['Año Fiscal'] == año_anterior]\n", " anterior_ids = set(df_anterior['CO-NIT'])\n", "\n", " nuevas = actual_ids - anterior_ids\n", " recurrentes = actual_ids & anterior_ids\n", " salientes = anterior_ids - actual_ids\n", "\n", " for _, row in df_actual[df_actual['CO-NIT'].isin(nuevas)].iterrows():\n", " registros_detalle.append({\n", " 'Año Fiscal': año_actual,\n", " 'CO-NIT': row['CO-NIT'],\n", " 'Nombre': row['Compañía'],\n", " 'Sección': row['sección'],\n", " 'Tipo': 'nueva'\n", " })\n", "\n", " for _, row in df_actual[df_actual['CO-NIT'].isin(recurrentes)].iterrows():\n", " registros_detalle.append({\n", " 'Año Fiscal': año_actual,\n", " 'CO-NIT': row['CO-NIT'],\n", " 'Nombre': row['Compañía'],\n", " 'Sección': row['sección'],\n", " 'Tipo': 'recurrente'\n", " })\n", "\n", " for _, row in df_anterior[df_anterior['CO-NIT'].isin(salientes)].iterrows():\n", " registros_detalle.append({\n", " 'Año Fiscal': año_actual,\n", " 'CO-NIT': row['CO-NIT'],\n", " 'Nombre': row['Compañía'],\n", " 'Sección': row['sección'],\n", " 'Tipo': 'saliente'\n", " })\n", "\n", "# Crear el DataFrame\n", "df_detalle_empresas = pd.DataFrame(registros_detalle)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_QFJRlswJqJZ", "outputId": "b9f91cb9-322f-49ba-b209-c9fbd42670d6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: openpyxl in /usr/local/lib/python3.12/dist-packages (3.1.5)\n", "Requirement already satisfied: et-xmlfile in /usr/local/lib/python3.12/dist-packages (from openpyxl) (2.0.0)\n" ] } ], "source": [ "pip install openpyxl" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 17 }, "id": "6FgW2ftzHdds", "outputId": "e61b17ad-b647-42ea-ed72-bf3350cfd8e2" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_cfd12c50-23b7-4741-871f-3ecf339a95fe\", \"detalle_empresas_por_a\\u00f1o.xlsx\", 111900)" ] }, "metadata": {} } ], "source": [ "# descarga listado, Exportar el DataFrame a un archivo Excel\n", "df_detalle_empresas.to_excel('detalle_empresas_por_año.xlsx', index=False)\n", "\n", "from google.colab import files\n", "\n", "# Guardar el archivo\n", "df_detalle_empresas.to_excel('detalle_empresas_por_año.xlsx', index=False)\n", "\n", "# Descargar el archivo\n", "files.download('detalle_empresas_por_año.xlsx')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "UIWMd8rTJVVj", "outputId": "64dbfa00-608f-488e-b20e-024118a139fc" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Empty DataFrame\n", "Columns: [CO-NIT, Año Salida, Año Reingreso]\n", "Index: []\n" ] } ], "source": [ "#Empresas que fueron salientes y luego reingresaron\n", "\n", "# Cargar el archivo Excel con encabezados reales en la fila 7\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", sheet_name=\"Listado\", header=7, engine=\"openpyxl\")\n", "\n", "# Filtrar columnas necesarias\n", "df = df[[\"CO-NIT\", \"Año Fiscal\"]].dropna()\n", "\n", "# Convertir año fiscal a string\n", "df[\"Año Fiscal\"] = df[\"Año Fiscal\"].astype(str)\n", "\n", "# Crear tabla pivote binaria: 1 si la empresa aparece en ese año\n", "pivot = pd.pivot_table(df, index=\"CO-NIT\", columns=\"Año Fiscal\", aggfunc=lambda x: 1, fill_value=0)\n", "\n", "# Ordenar columnas por año, dejando al final los no numéricos\n", "ordered_cols = sorted([col for col in pivot.columns if col.isdigit()]) + \\\n", " [col for col in pivot.columns if not col.isdigit()]\n", "pivot = pivot[ordered_cols]\n", "\n", "# Identificar empresas salientes y reingresos\n", "reingresos = []\n", "\n", "for i in range(len(ordered_cols) - 1):\n", " year = ordered_cols[i]\n", " next_year = ordered_cols[i + 1]\n", " if not year.isdigit() or not next_year.isdigit():\n", " continue\n", " salientes_en_year = pivot[(pivot[year] == 1) & (pivot[next_year] == 0)].index\n", "\n", " for nit in salientes_en_year:\n", " posteriores = ordered_cols[i + 2:]\n", " for y in posteriores:\n", " if y.isdigit() and pivot.loc[nit, y] == 1:\n", " reingresos.append((nit, year, y))\n", " break\n", "\n", "# Convertir a DataFrame\n", "df_reingresos = pd.DataFrame(reingresos, columns=[\"CO-NIT\", \"Año Salida\", \"Año Reingreso\"])\n", "print(df_reingresos)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aBkmEzkhIWSP", "outputId": "3b09be07-49d0-4fdb-e8b7-c3e67b2b976b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Año Fiscal Empresa recien creada Empresa ya existente\n", "0 2018 18 254\n", "1 2019 11 287\n", "2 2020 18 325\n", "3 2021 25 342\n", "4 2022 7 405\n", "5 2023 4 430\n", "6 2024 6 443\n" ] } ], "source": [ "#empresas creadas antes de 2018 (consolidadas) o despues 2018 (recientes)\n", "\n", "# leer df\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", sheet_name=\"Listado\", engine=\"openpyxl\", header=7)\n", "\n", "# Convertir la columna 'Fecha de Incorporación' a tipo datetime\n", "df[\"Fecha de Incorporación\"] = pd.to_datetime(df[\"Fecha de Incorporación\"], errors=\"coerce\")\n", "\n", "# Filtrar filas con año fiscal válido\n", "df = df[df[\"Año Fiscal\"].apply(lambda x: str(x).isdigit())]\n", "df[\"Año Fiscal\"] = df[\"Año Fiscal\"].astype(int)\n", "\n", "# Obtener la fecha de incorporación mínima por empresa\n", "incorporacion_por_empresa = df.groupby(\"CO-NIT\")[\"Fecha de Incorporación\"].min()\n", "\n", "# Clasificar empresas por año fiscal\n", "resultados = []\n", "for año in sorted(df[\"Año Fiscal\"].unique()):\n", " empresas_en_año = df[df[\"Año Fiscal\"] == año][\"CO-NIT\"].unique()\n", " recientes = 0\n", " consolidadas = 0\n", " for nit in empresas_en_año:\n", " fecha_incorp = incorporacion_por_empresa.get(nit)\n", " if pd.isna(fecha_incorp):\n", " continue\n", " año_incorp = fecha_incorp.year\n", " if año_incorp >= año:\n", " recientes += 1\n", " elif año_incorp < año:\n", " consolidadas += 1\n", " resultados.append({\n", " \"Año Fiscal\": año,\n", " \"Empresa recien creada\": recientes,\n", " \"Empresa ya existente\": consolidadas\n", " })\n", "\n", "# Crear DataFrame con los resultados\n", "df_resultados = pd.DataFrame(resultados)\n", "print(df_resultados)\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 865, "referenced_widgets": [ "42332506e61342f5a29c3c5e5a947577", "ed0468d6ed7748cb98352d43840a7f40", "f1210fef18dc428e90ce3a71ba3ecf5c", "76297e0c92ad4632a53d0e2a7e7508a1", "5e21e21330a14e539cde37122b471a9b" ] }, "id": "nx4R44hCdTzn", "outputId": "205be116-5970-47fb-da6d-0d20f5f45fb4" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "42332506e61342f5a29c3c5e5a947577", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de empresa:', options=('nueva', 'recurrente', 'saliente'), style=DescriptionStyle(d…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "76297e0c92ad4632a53d0e2a7e7508a1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#caracterizacion por sector\n", "\n", "# Cargar el archivo Excel con encabezado en la fila 7 (índice 6)\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", sheet_name=\"Listado\", engine=\"openpyxl\", header=7)\n", "\n", "# Normalizar columnas necesarias\n", "df = df[['CO-NIT', 'Año Fiscal', 'sección']].copy()\n", "df['Año Fiscal'] = pd.to_numeric(df['Año Fiscal'], errors='coerce')\n", "df = df.dropna(subset=['Año Fiscal'])\n", "df['Año Fiscal'] = df['Año Fiscal'].astype(int)\n", "\n", "# Lista de años fiscales ordenados\n", "años_fiscales = sorted(df['Año Fiscal'].unique())\n", "registros = []\n", "\n", "# Clasificar empresas por tipo\n", "for i in range(len(años_fiscales)):\n", " año_actual = años_fiscales[i]\n", " actual_ids = set(df[df['Año Fiscal'] == año_actual]['CO-NIT'])\n", "\n", " if i == 0:\n", " for nit in actual_ids:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'nueva'})\n", " else:\n", " año_anterior = años_fiscales[i - 1]\n", " anterior_ids = set(df[df['Año Fiscal'] == año_anterior]['CO-NIT'])\n", "\n", " nuevas = actual_ids - anterior_ids\n", " recurrentes = actual_ids & anterior_ids\n", " salientes = anterior_ids - actual_ids\n", "\n", " for nit in nuevas:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'nueva'})\n", " for nit in recurrentes:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'recurrente'})\n", " for nit in salientes:\n", " registros.append({'Año Fiscal': año_actual, 'CO-NIT': nit, 'tipo': 'saliente'})\n", "\n", "# Convertir a DataFrame\n", "df_registros = pd.DataFrame(registros)\n", "\n", "# Unir con sección\n", "df_raw = df.merge(df_registros, on=['CO-NIT', 'Año Fiscal'], how='inner')\n", "\n", "# Función para mostrar tabla por tipo\n", "def mostrar_por_tipo(tipo):\n", " df_tipo = df_raw[df_raw[\"tipo\"] == tipo]\n", " tabla = df_tipo.groupby([\"sección\", \"Año Fiscal\"])[\"CO-NIT\"].nunique().unstack(fill_value=0)\n", " display(tabla)\n", "\n", "# Widget de selección por tipo\n", "tipo_selector = widgets.Dropdown(\n", " options=[\"nueva\", \"recurrente\", \"saliente\"],\n", " description=\"Tipo de empresa:\",\n", " style={'description_width': 'initial'}\n", ")\n", "\n", "output = widgets.interactive_output(mostrar_por_tipo, {'tipo': tipo_selector})\n", "display(tipo_selector, output)\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "4ffec368c8564912bb56ebe5f6c95675", "595eb94f581b4bcfab417b8dbf177419", "cfee22a7516747c2a234f3b4b59aa82d", "e89c2e97383a49af89e04e2bf7d36f22", "5e9a8fe3745e4584ae340e02af1747c7" ] }, "id": "Ryt79g2chq-M", "outputId": "67e9fa50-947b-465e-e662-0c8db05101e8" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4ffec368c8564912bb56ebe5f6c95675", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Año Fiscal:', options=(np.int64(2018), np.int64(2019), np.int64(2020), np.int64(2021), n…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e89c2e97383a49af89e04e2bf7d36f22", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Función para graficar Pareto por tipo y año\n", "def graficar_pareto_interactivo(año):\n", " df_filtrado = df_registros[df_registros[\"Año Fiscal\"] == año]\n", " for tipo in [\"nueva\", \"recurrente\", \"saliente\"]:\n", " conteo = df_filtrado[df_filtrado[\"tipo\"] == tipo].groupby(\"sección\")[\"CO-NIT\"].nunique().sort_values(ascending=False)\n", " acumulado = conteo.cumsum() / conteo.sum() * 100\n", "\n", " fig, ax1 = plt.subplots(figsize=(12, 6))\n", " ax1.bar(conteo.index, conteo.values, color='skyblue')\n", " ax1.set_ylabel(\"Número de empresas\")\n", " ax1.set_title(f\"Distribución Pareto por sector - Empresas {tipo.capitalize()} ({año})\")\n", " ax1.tick_params(axis='x', rotation=90)\n", "\n", " ax2 = ax1.twinx()\n", " ax2.plot(conteo.index, acumulado.values, color='red', marker='o', linestyle='-')\n", " ax2.set_ylabel(\"Porcentaje acumulado (%)\")\n", " ax2.axhline(80, color='gray', linestyle='--', linewidth=1)\n", "\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "# Widget de selección de año\n", "año_selector = widgets.Dropdown(\n", " options=años_fiscales,\n", " description=\"Año Fiscal:\",\n", " style={'description_width': 'initial'}\n", ")\n", "\n", "# Conectar el widget con la función\n", "output = widgets.interactive_output(graficar_pareto_interactivo, {'año': año_selector})\n", "display(año_selector, output)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 944, "referenced_widgets": [ "996d4af424734f38b42f144825655f72", "dd2daef1d35b47e89d99c0cbec16e75f", "cdeeffc263a240ef9f30e208499e8e91", "a75ec89f33e148ecab5ae43b2998d958", "219168c30ab14e91a8cbe2e2a2b2e1ec", "6df60d44511f4274aac5330cecc4920d", "7f1236bae2fe4ff99fc44cc01d72c210", "c22f7819fcd042a0b27893913a12431e", "7a9bf964beb840f6875b9e796096e970", "cfd6fc958f5d49bc9f0a298bd89cd80b" ] }, "id": "7EccrWN9LGru", "outputId": "77f3876a-3322-4645-d41c-6e220b85765c" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "996d4af424734f38b42f144825655f72", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(Dropdown(description='Año Fiscal:', options=('2018', '2019', '2020', '2021', '2022', '20…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n", " 
show_ratios
def show_ratios(year, sector)
/tmp/ipython-input-2543420534.py<no docstring>
" ], "text/plain": [ "" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# cuadro interactivo de promedio financieros\n", "import plotly.express as px\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Cargar la hoja con encabezados reales\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", sheet_name=\"Listado\", header=7, engine=\"openpyxl\")\n", "\n", "# Filtrar columnas necesarias\n", "columnas = [\n", " \"Año Fiscal\", \"sección\", \"Activos Totales\", \"Total Ingreso Operativo\",\n", " \"Rendimiento Sobre Los Activos (ROA) (%)\", \"Rendimiento Sobre El Patrimonio (ROE) (%)\",\n", " \"Margen Ebitda (%)\", \"Razón De Liquidez (x)\", \"Modelo Z-Score de Altman\"\n", "]\n", "df_filtered = df[columnas].copy()\n", "\n", "# Convertir año fiscal a texto para evitar errores de ordenamiento\n", "df_filtered[\"Año Fiscal\"] = df_filtered[\"Año Fiscal\"].astype(str)\n", "\n", "# Eliminar filas sin sector o año\n", "df_filtered = df_filtered.dropna(subset=[\"Año Fiscal\", \"sección\"])\n", "\n", "# Crear widgets interactivos\n", "years = sorted(df_filtered[\"Año Fiscal\"].unique())\n", "sectors = sorted(df_filtered[\"sección\"].dropna().unique())\n", "\n", "year_dropdown = widgets.Dropdown(options=years, description=\"Año Fiscal:\")\n", "sector_dropdown = widgets.Dropdown(options=sectors, description=\"Sector:\")\n", "\n", "# Función para mostrar ratios\n", "def show_ratios(year, sector):\n", " subset = df_filtered[(df_filtered[\"Año Fiscal\"] == year) & (df_filtered[\"sección\"] == sector)]\n", " if subset.empty:\n", " print(\"No hay datos para esta combinación.\")\n", " return\n", "\n", " # Calcular promedios\n", " promedios = subset.drop(columns=[\"Año Fiscal\", \"sección\"]).mean().round(2)\n", " df_promedios = pd.DataFrame(promedios, columns=[\"Promedio\"]).reset_index()\n", " df_promedios.rename(columns={\"index\": \"Indicador\"}, inplace=True)\n", "\n", " # Mostrar tabla\n", " display(df_promedios)\n", "\n", " # Graficar\n", " fig = px.bar(df_promedios, x=\"Indicador\", y=\"Promedio\", title=f\"Ratios financieros promedio - {sector} ({year})\")\n", " fig.update_layout(xaxis_tickangle=-45)\n", " fig.show()\n", "\n", "# Mostrar interfaz interactiva\n", "widgets.interact(show_ratios, year=year_dropdown, sector=sector_dropdown)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "SCkIWs4Oltiz", "outputId": "ccf0b9b9-30bc-4176-b841-97e548b4732d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ranking de sectores por desempeño financiero promedio (ROA, ROE, Margen EBITDA):\n", " Rendimiento Sobre Los Activos (ROA) (%) \\\n", "sección \n", "Otras actividades de servicios 18.043333 \n", "Actividades financieras y de seguros 13.753235 \n", "Suministro de electricidad, gas, vapor y aire a... 10.108000 \n", "Actividades profesionales, científicas y técnicas 8.947576 \n", "Transporte y almacenamiento 8.553000 \n", "Comerciantes al por Mayor de Medicamentos y Pro... 7.580000 \n", "Actividades artísticas, entretenimiento y recre... 6.670000 \n", "Comercio al por mayor y al por menor; reparació... 5.530777 \n", "Construcción 5.499884 \n", "Actividades de servicios administrativos y de a... 4.845510 \n", "Atención de la salud humana y asistencia social 4.369231 \n", "Alojamiento y servicios de comida 4.169412 \n", "Distribución de agua; gestión de residuos y san... 3.580000 \n", "Industrias manufactureras 1.612207 \n", "Explotación de minas y canteras 0.519091 \n", "Información y comunicaciones 0.340405 \n", "Actividades inmobiliarias -0.473333 \n", "Agricultura, ganadería, caza, silvicultura y pesca -0.562857 \n", "\n", " Rendimiento Sobre El Patrimonio (ROE) (%) \\\n", "sección \n", "Otras actividades de servicios 25.396667 \n", "Actividades financieras y de seguros 30.465294 \n", "Suministro de electricidad, gas, vapor y aire a... 10.108000 \n", "Actividades profesionales, científicas y técnicas 14.437758 \n", "Transporte y almacenamiento 28.789000 \n", "Comerciantes al por Mayor de Medicamentos y Pro... 13.975000 \n", "Actividades artísticas, entretenimiento y recre... 15.690000 \n", "Comercio al por mayor y al por menor; reparació... -22.403058 \n", "Construcción 47.301047 \n", "Actividades de servicios administrativos y de a... 16.158571 \n", "Atención de la salud humana y asistencia social 22.231538 \n", "Alojamiento y servicios de comida 15.577647 \n", "Distribución de agua; gestión de residuos y san... 8.007143 \n", "Industrias manufactureras 0.446441 \n", "Explotación de minas y canteras 6.611818 \n", "Información y comunicaciones 13.864459 \n", "Actividades inmobiliarias -0.620000 \n", "Agricultura, ganadería, caza, silvicultura y pesca -19.181786 \n", "\n", " Margen Ebitda (%) \n", "sección \n", "Otras actividades de servicios 25.633333 \n", "Actividades financieras y de seguros 49.902353 \n", "Suministro de electricidad, gas, vapor y aire a... 27.086000 \n", "Actividades profesionales, científicas y técnicas 14.578182 \n", "Transporte y almacenamiento 20.420000 \n", "Comerciantes al por Mayor de Medicamentos y Pro... 13.330000 \n", "Actividades artísticas, entretenimiento y recre... 6.330000 \n", "Comercio al por mayor y al por menor; reparació... -33.967184 \n", "Construcción 12.754535 \n", "Actividades de servicios administrativos y de a... 15.428163 \n", "Atención de la salud humana y asistencia social 16.306538 \n", "Alojamiento y servicios de comida 8.882353 \n", "Distribución de agua; gestión de residuos y san... 32.348571 \n", "Industrias manufactureras 8.379234 \n", "Explotación de minas y canteras 11.212727 \n", "Información y comunicaciones -5.161486 \n", "Actividades inmobiliarias 4.393333 \n", "Agricultura, ganadería, caza, silvicultura y pesca -30.509286 \n" ] } ], "source": [ "#ranking seccion\n", "\n", "\n", "# Filtrar filas válidas con sector y ratios financieros\n", "ratios = [\"Rendimiento Sobre Los Activos (ROA) (%)\", \"Rendimiento Sobre El Patrimonio (ROE) (%)\", \"Margen Ebitda (%)\"]\n", "df_ratios = df[[\"sección\"] + ratios].dropna()\n", "\n", "# Agrupar por sector y calcular promedios\n", "ranking = df_ratios.groupby(\"sección\")[ratios].mean().sort_values(by=\"Rendimiento Sobre Los Activos (ROA) (%)\", ascending=False)\n", "\n", "# Mostrar el ranking\n", "print(\"Ranking de sectores por desempeño financiero promedio (ROA, ROE, Margen EBITDA):\")\n", "print(ranking)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OJB8e0qeN5fi", "outputId": "85db9cff-a479-4915-99ee-3302e6453f15" }, "outputs": [ { "data": { "text/plain": [ "( PC1 PC2 PC3 \\\n", " Rendimiento Sobre Los Activos (ROA) (%) 0.033 0.168 0.727 \n", " Rendimiento Sobre El Patrimonio (ROE) (%) -0.399 -0.010 0.511 \n", " Margen Ebitda (%) 0.054 0.581 -0.120 \n", " Razón De Liquidez (x) 0.383 0.275 0.235 \n", " Razón De Cobertura De Intereses (x) 0.014 0.580 -0.148 \n", " Relación Deuda/Ebitda (x) -0.293 0.223 -0.307 \n", " Modelo Z-Score de Altman 0.467 0.234 0.119 \n", " Relación Deuda/Activos Totales (%) -0.421 0.308 -0.005 \n", " Relación Deuda/Capital (%) -0.456 0.151 0.107 \n", " Relación Deuda Largo Plazo/Capital Empleado (%) 0.000 0.000 -0.000 \n", " Relación Flujo De Caja/Deuda (%) 0.000 0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Ingresos (%) 0.000 0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Activos (%) 0.000 0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Patrimonio (%) 0.000 0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Utilidad Operacio... 0.000 0.000 -0.000 \n", " \n", " PC4 PC5 PC6 \\\n", " Rendimiento Sobre Los Activos (ROA) (%) 0.167 -0.470 0.225 \n", " Rendimiento Sobre El Patrimonio (ROE) (%) -0.156 0.042 -0.500 \n", " Margen Ebitda (%) -0.389 -0.002 0.086 \n", " Razón De Liquidez (x) 0.254 0.525 -0.222 \n", " Razón De Cobertura De Intereses (x) -0.287 -0.302 -0.238 \n", " Relación Deuda/Ebitda (x) 0.694 -0.245 -0.407 \n", " Modelo Z-Score de Altman 0.289 0.162 0.019 \n", " Relación Deuda/Activos Totales (%) 0.275 0.146 0.646 \n", " Relación Deuda/Capital (%) -0.096 0.551 -0.046 \n", " Relación Deuda Largo Plazo/Capital Empleado (%) -0.000 -0.000 -0.000 \n", " Relación Flujo De Caja/Deuda (%) -0.000 -0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Ingresos (%) -0.000 -0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Activos (%) -0.000 -0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Patrimonio (%) -0.000 -0.000 -0.000 \n", " Razón Flujo De Caja Operativo/Utilidad Operacio... -0.000 -0.000 -0.000 \n", " \n", " PC7 PC8 PC9 PC10 \\\n", " Rendimiento Sobre Los Activos (ROA) (%) 0.148 0.328 -0.113 0.0 \n", " Rendimiento Sobre El Patrimonio (ROE) (%) -0.058 -0.499 0.226 0.0 \n", " Margen Ebitda (%) 0.661 -0.140 0.174 0.0 \n", " Razón De Liquidez (x) 0.065 -0.144 -0.555 0.0 \n", " Razón De Cobertura De Intereses (x) -0.603 0.114 -0.187 0.0 \n", " Relación Deuda/Ebitda (x) 0.239 0.074 0.035 0.0 \n", " Modelo Z-Score de Altman -0.246 0.008 0.736 0.0 \n", " Relación Deuda/Activos Totales (%) -0.228 -0.397 -0.059 0.0 \n", " Relación Deuda/Capital (%) -0.020 0.653 0.128 0.0 \n", " Relación Deuda Largo Plazo/Capital Empleado (%) 0.000 0.000 0.000 0.0 \n", " Relación Flujo De Caja/Deuda (%) 0.000 0.000 0.000 0.0 \n", " Razón Flujo De Caja Operativo/Ingresos (%) 0.000 0.000 0.000 0.0 \n", " Razón Flujo De Caja Operativo/Activos (%) 0.000 0.000 0.000 0.0 \n", " Razón Flujo De Caja Operativo/Patrimonio (%) 0.000 0.000 0.000 0.0 \n", " Razón Flujo De Caja Operativo/Utilidad Operacio... 0.000 0.000 0.000 1.0 \n", " \n", " PC11 PC12 PC13 PC14 \\\n", " Rendimiento Sobre Los Activos (ROA) (%) 0.0 0.0 0.0 0.0 \n", " Rendimiento Sobre El Patrimonio (ROE) (%) 0.0 0.0 0.0 0.0 \n", " Margen Ebitda (%) 0.0 0.0 0.0 0.0 \n", " Razón De Liquidez (x) 0.0 0.0 0.0 0.0 \n", " Razón De Cobertura De Intereses (x) 0.0 0.0 0.0 0.0 \n", " Relación Deuda/Ebitda (x) 0.0 0.0 0.0 0.0 \n", " Modelo Z-Score de Altman 0.0 0.0 0.0 0.0 \n", " Relación Deuda/Activos Totales (%) 0.0 0.0 0.0 0.0 \n", " Relación Deuda/Capital (%) 0.0 0.0 0.0 0.0 \n", " Relación Deuda Largo Plazo/Capital Empleado (%) 0.0 0.0 0.0 0.0 \n", " Relación Flujo De Caja/Deuda (%) 0.0 0.0 0.0 1.0 \n", " Razón Flujo De Caja Operativo/Ingresos (%) 0.0 0.0 1.0 0.0 \n", " Razón Flujo De Caja Operativo/Activos (%) 0.0 1.0 0.0 0.0 \n", " Razón Flujo De Caja Operativo/Patrimonio (%) 1.0 0.0 0.0 0.0 \n", " Razón Flujo De Caja Operativo/Utilidad Operacio... 0.0 0.0 0.0 0.0 \n", " \n", " PC15 \n", " Rendimiento Sobre Los Activos (ROA) (%) 0.0 \n", " Rendimiento Sobre El Patrimonio (ROE) (%) 0.0 \n", " Margen Ebitda (%) 0.0 \n", " Razón De Liquidez (x) 0.0 \n", " Razón De Cobertura De Intereses (x) 0.0 \n", " Relación Deuda/Ebitda (x) 0.0 \n", " Modelo Z-Score de Altman 0.0 \n", " Relación Deuda/Activos Totales (%) 0.0 \n", " Relación Deuda/Capital (%) 0.0 \n", " Relación Deuda Largo Plazo/Capital Empleado (%) 1.0 \n", " Relación Flujo De Caja/Deuda (%) 0.0 \n", " Razón Flujo De Caja Operativo/Ingresos (%) 0.0 \n", " Razón Flujo De Caja Operativo/Activos (%) 0.0 \n", " Razón Flujo De Caja Operativo/Patrimonio (%) 0.0 \n", " Razón Flujo De Caja Operativo/Utilidad Operacio... 0.0 ,\n", " Componente Principal Varianza Explicada (%)\n", " 0 PC1 38.59\n", " 1 PC2 26.05\n", " 2 PC3 15.88\n", " 3 PC4 8.66\n", " 4 PC5 6.94\n", " 5 PC6 2.05\n", " 6 PC7 1.48\n", " 7 PC8 0.31\n", " 8 PC9 0.05\n", " 9 PC10 0.00\n", " 10 PC11 0.00\n", " 11 PC12 0.00\n", " 12 PC13 0.00\n", " 13 PC14 0.00\n", " 14 PC15 0.00)" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#PCA Ratios financieros\n", "from sklearn.decomposition import PCA\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "# Cargar la hoja principal con encabezados reales\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", sheet_name=\"Listado\", header=7, engine=\"openpyxl\")\n", "\n", "# Seleccionar columnas numéricas que representan ratios financieros\n", "ratios_cols = [\n", " \"Rendimiento Sobre Los Activos (ROA) (%)\",\n", " \"Rendimiento Sobre El Patrimonio (ROE) (%)\",\n", " \"Margen Ebitda (%)\",\n", " \"Razón De Liquidez (x)\",\n", " \"Razón De Cobertura De Intereses (x)\",\n", " \"Relación Deuda/Ebitda (x)\",\n", " \"Modelo Z-Score de Altman\",\n", " \"Relación Deuda/Activos Totales (%)\",\n", " \"Relación Deuda/Capital (%)\",\n", " \"Relación Deuda Largo Plazo/Capital Empleado (%)\",\n", " \"Relación Flujo De Caja/Deuda (%)\",\n", " \"Razón Flujo De Caja Operativo/Ingresos (%)\",\n", " \"Razón Flujo De Caja Operativo/Activos (%)\",\n", " \"Razón Flujo De Caja Operativo/Patrimonio (%)\",\n", " \"Razón Flujo De Caja Operativo/Utilidad Operacional (%)\"\n", "]\n", "\n", "# Filtrar el DataFrame con solo esas columnas\n", "df_ratios = df[ratios_cols].copy()\n", "\n", "# Eliminar filas con valores faltantes\n", "df_ratios_clean = df_ratios.dropna()\n", "\n", "# Estandarizar los datos\n", "scaler = StandardScaler()\n", "ratios_scaled = scaler.fit_transform(df_ratios_clean)\n", "\n", "# Ejecutar PCA\n", "pca = PCA()\n", "pca.fit(ratios_scaled)\n", "\n", "# Crear un DataFrame con los pesos (componentes principales)\n", "loadings = pd.DataFrame(pca.components_.T, index=ratios_cols, columns=[f\"PC{i+1}\" for i in range(len(ratios_cols))])\n", "\n", "# Mostrar la varianza explicada por cada componente\n", "explained_variance = pd.DataFrame({\n", " \"Componente Principal\": [f\"PC{i+1}\" for i in range(len(pca.explained_variance_ratio_))],\n", " \"Varianza Explicada (%)\": pca.explained_variance_ratio_ * 100\n", "})\n", "\n", "# Mostrar los resultados\n", "loadings_rounded = loadings.round(3)\n", "explained_variance_rounded = explained_variance.round(2)\n", "\n", "loadings_rounded, explained_variance_rounded\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "XTDLFVjVN4Jk" }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "624b60eb", "outputId": "00c5669a-714f-4620-bf84-2b538c26cd2c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Estadísticas descriptivas de los principales ratios financieros (Winsorizados):\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipython-input-129928835.py:33: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", "\n", "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", "\n", "\n", " df_filtered_year[ratio].fillna(df_filtered_year[ratio].median(), inplace=True) # Handle NaNs before winsorizing\n" ] }, { "data": { "application/vnd.google.colaboratory.intrinsic+json": { "summary": "{\n \"name\": \"descriptive_stats\",\n \"rows\": 8,\n \"fields\": [\n {\n \"column\": \"Rendimiento Sobre Los Activos (ROA) (%)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 907.6458977526108,\n \"min\": -9.0,\n \"max\": 2575.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 7.47,\n 5.72,\n 2575.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rendimiento Sobre El Patrimonio (ROE) (%)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 904.1077973566379,\n \"min\": -16.86,\n \"max\": 2575.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 17.09,\n 12.5,\n 2575.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Margen Ebitda (%)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 906.5987271104092,\n \"min\": 2.96,\n \"max\": 2575.0,\n \"num_unique_values\": 6,\n \"samples\": [\n 2575.0,\n 11.35,\n 23.9\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Raz\\u00f3n De Liquidez (x)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 908.5940421794149,\n \"min\": 0.74,\n \"max\": 2575.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 3.9,\n 2.1,\n 2575.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Modelo Z-Score de Altman\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 908.2173419937621,\n \"min\": -1.23,\n \"max\": 2575.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 5.52,\n 4.44,\n 2575.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", "type": "dataframe", "variable_name": "descriptive_stats" }, "text/html": [ "\n", "
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Rendimiento Sobre Los Activos (ROA) (%)Rendimiento Sobre El Patrimonio (ROE) (%)Margen Ebitda (%)Razón De Liquidez (x)Modelo Z-Score de Altman
count2575.002575.002575.002575.002575.00
mean7.4717.0911.353.905.52
std9.1920.174.364.705.07
min-9.00-16.862.960.74-1.23
25%1.414.0011.041.392.16
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75%11.7825.5511.043.797.26
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\n" ], "text/plain": [ " Rendimiento Sobre Los Activos (ROA) (%) \\\n", "count 2575.00 \n", "mean 7.47 \n", "std 9.19 \n", "min -9.00 \n", "25% 1.41 \n", "50% 5.72 \n", "75% 11.78 \n", "max 29.21 \n", "\n", " Rendimiento Sobre El Patrimonio (ROE) (%) Margen Ebitda (%) \\\n", "count 2575.00 2575.00 \n", "mean 17.09 11.35 \n", "std 20.17 4.36 \n", "min -16.86 2.96 \n", "25% 4.00 11.04 \n", "50% 12.50 11.04 \n", "75% 25.55 11.04 \n", "max 68.46 23.90 \n", "\n", " Razón De Liquidez (x) Modelo Z-Score de Altman \n", "count 2575.00 2575.00 \n", "mean 3.90 5.52 \n", "std 4.70 5.07 \n", "min 0.74 -1.23 \n", "25% 1.39 2.16 \n", "50% 2.10 4.44 \n", "75% 3.79 7.26 \n", "max 19.53 20.43 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from scipy.stats.mstats import winsorize\n", "\n", "# Load the data, skipping the first 7 rows for the header\n", "df = pd.read_excel(\"Base empresas BIC emis.xlsx\", engine=\"openpyxl\")\n", "\n", "# Filter out unwanted 'Año Fiscal' values\n", "df_filtered_year = df[~df['Año Fiscal'].isin(['No reporta información', 'Información intermitente '])].copy()\n", "\n", "# Convert 'Año Fiscal' to numeric, coercing errors\n", "df_filtered_year['Año Fiscal'] = pd.to_numeric(df_filtered_year['Año Fiscal'], errors='coerce')\n", "\n", "# Drop rows where 'Año Fiscal' became NaN after coercion (if any)\n", "df_filtered_year.dropna(subset=['Año Fiscal'], inplace=True)\n", "\n", "# Ensure 'Año Fiscal' is integer type\n", "df_filtered_year['Año Fiscal'] = df_filtered_year['Año Fiscal'].astype(int)\n", "\n", "\n", "# Define the main financial ratios to analyze\n", "financial_ratios = [\n", " \"Rendimiento Sobre Los Activos (ROA) (%)\",\n", " \"Rendimiento Sobre El Patrimonio (ROE) (%)\",\n", " \"Margen Ebitda (%)\",\n", " \"Razón De Liquidez (x)\",\n", " \"Modelo Z-Score de Altman\"\n", "]\n", "\n", "# Apply winsorization to the financial ratios\n", "for ratio in financial_ratios:\n", " if ratio in df_filtered_year.columns:\n", " # Convert to numeric, coercing errors and filling NaNs\n", " df_filtered_year[ratio] = pd.to_numeric(df_filtered_year[ratio], errors='coerce')\n", " df_filtered_year[ratio].fillna(df_filtered_year[ratio].median(), inplace=True) # Handle NaNs before winsorizing\n", " try:\n", " df_filtered_year[ratio] = winsorize(df_filtered_year[ratio], limits=[0.05, 0.05]) # Winsorize at 5% on both tails\n", " except IndexError:\n", " print(f\"Could not winsorize {ratio}. Not enough non-NaN data points.\") # Handle cases with insufficient data\n", " else:\n", " print(f\"Column '{ratio}' not found in the DataFrame.\")\n", "\n", "# Select the winsorized ratio columns for descriptive statistics\n", "df_ratios_winsorized = df_filtered_year[financial_ratios]\n", "\n", "# Calculate descriptive statistics\n", "descriptive_stats = df_ratios_winsorized.describe().round(2)\n", "\n", "# Display the result\n", "print(\"Estadísticas descriptivas de los principales ratios financieros (Winsorizados):\")\n", "display(descriptive_stats)" ] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "219168c30ab14e91a8cbe2e2a2b2e1ec": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": 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sección
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Industrias manufactureras50142634
Información y comunicaciones19232400
Investigación del Mercado y Encuestas de Opinión Pública1000000
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IndicadorPromedio
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4Margen Ebitda (%)NaN
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6Modelo Z-Score de Altman0.10
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\n", 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