From 8ba71bca9806f7672a4f26725511d5695d1fd049 Mon Sep 17 00:00:00 2001 From: dayview <131971014+dayview@users.noreply.github.com> Date: Mon, 31 Aug 2026 03:42:23 +0800 Subject: [PATCH] Add interpretive insight cells and CPI-adjusted revenue analysis to JFC notebook Each of the four existing analysis sections (Q1-Q4) only showed charts and raw descriptive stats with no written interpretation, and the food CPI/FX columns collected in the dataset were never actually used in any analysis. Adds a "Key Insight" markdown cell after each chart to make the takeaway explicit, and a new Q5 section that deflates annual revenue by food CPI to separate real growth from inflation-driven growth. Co-Authored-By: Claude Sonnet 5 --- .../jfc_data_preparation.ipynb | 3528 +++++++++-------- 1 file changed, 1786 insertions(+), 1742 deletions(-) diff --git a/jollibee-profitability-growth-analysis/jfc_data_preparation.ipynb b/jollibee-profitability-growth-analysis/jfc_data_preparation.ipynb index 773c163..85ee536 100644 --- a/jollibee-profitability-growth-analysis/jfc_data_preparation.ipynb +++ b/jollibee-profitability-growth-analysis/jfc_data_preparation.ipynb @@ -1,1785 +1,1829 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "toc_visible": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "toc_visible": true }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Descriptive Analysis of Jollibee Foods Corporation (2021–2025)\n", - "\n", - "This notebook contains all data preparation, cleaning, feature engineering, and descriptive analysis performed for the study.\n", - "\n", - "Dataset sources:\n", - "- JFC Quarterly Press Releases\n", - "- JFC Annual Reports (Segment Data)\n", - "- BSP (PHP/USD)\n", - "- PSA / TradingEconomics (CPI)" - ], - "metadata": { - "id": "vh2Ov-B7xpNJ" - } - }, - { - "cell_type": "markdown", - "source": [ - "## 1. Import Libraries\n", - "\n", - "The following libraries are used for data manipulation, analysis, and visualization." - ], - "metadata": { - "id": "q8KDN7MOyp03" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns" - ], - "metadata": { - "id": "teW6LA4nx9dr" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## 1. Data Loading\n", - "\n", - "The dataset used in this analysis was compiled from multiple structured sources and consolidated into a single file.\n", - "\n", - "Each row represents a **year–quarter observation**, forming a panel dataset covering 2021 to 2025.\n", - "\n", - "The dataset includes:\n", - "- Financial variables (revenue, segment revenue)\n", - "- Operational variables (SWS, store counts)\n", - "- Macroeconomic variables (exchange rates, CPI)\n", - "\n", - "The dataset is loaded below for inspection." - ], - "metadata": { - "id": "moh6QOiZyXsY" - } - }, - { - "cell_type": "code", - "source": [ - "df = pd.read_csv(\"infom_data.csv\")\n", - "\n", - "df.head()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 226 - }, - "id": "5OPwWNpsyS7E", - "outputId": "f0b5ed37-d3c8-4396-ae93-9653b15bef6e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " year quarter period jfc_consolidated_revenue_ph ph_business_sws_ph \\\n", - "0 2021 Q1 - 34,681 37,641 \n", - "1 2021 Q2 - 36,689 43,509 \n", - "2 2021 Q3 - 37,201 44,870 \n", - "3 2021 Q4 - 44,937 41,008 \n", - "4 2022 Q1 - 42,857 NaN \n", - "\n", - " intl_business_sws_ph ph_sssg_pct jollibee_brand_sws_growth_pct \\\n", - "0 34,915 -0.261 -0.091 \n", - "1 41,723 0.480 0.380 \n", - "2 43,552 0.324 0.054 \n", - "3 39,884 0.241 0.072 \n", - "4 NaN 0.229 0.278 \n", - "\n", - " store_count_ph store_count_global net_store_openings_ph php_usd_rate \\\n", - "0 3,218 5,827 1 48.280 \n", - "1 5,816 5,913 -44 48.181 \n", - "2 5,853 5,987 -45 50.106 \n", - "3 5,924 6,014 -48 50.451 \n", - "4 3,225 6,246 7 51.530 \n", - "\n", - " food_cpi_ph headline_cpi_ph ph_sws_growth_qoq ph_sws_growth_yoy \\\n", - "0 109.967 108.370 #VALUE! NaN \n", - "1 108.033 108.167 0.1559 NaN \n", - "2 108.600 109.167 0.0313 NaN \n", - "3 109.200 110.067 -0.0861 NaN \n", - "4 111.967 112.000 #VALUE! NaN \n", - "\n", - " ph_revenue_share ph_segment_revenue_php ph_segment_operating_income_php \\\n", - "0 0.61 94,301.17 - \n", - "1 0.61 94,301.17 - \n", - "2 0.61 94,301.17 - \n", - "3 0.61 94,301.17 - \n", - "4 NaN 131,580.48 - \n", - "\n", - " ph_segment_ebit_margin \n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN " - ], - "text/html": [ - "\n", - "
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" - ] - }, - "metadata": {}, - "execution_count": 7 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## 4. Data Cleaning and Preprocessing\n", - "\n", - "The dataset contains formatting inconsistencies and structural missing values.\n", - "\n", - "The following steps are performed:\n", - "- Remove formatting artifacts\n", - "- Convert values to numeric\n", - "- Normalize units\n", - "- Preserve structural nulls" - ], - "metadata": { - "id": "pbXpREXfzCP_" - } - }, - { - "cell_type": "markdown", - "source": [ - "### 4.0 Column Name Standardization\n", - "\n", - "Column names are cleaned to remove leading/trailing spaces and ensure consistency across the dataset." - ], - "metadata": { - "id": "-prB_UGO1YF_" - } - }, - { - "cell_type": "code", - "source": [ - "df.columns = df.columns.str.strip().str.lower()" - ], - "metadata": { - "id": "9Jus4JzX1Yah" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.1 Removing Formatting Artifacts\n", - "\n", - "Currency symbols and commas are removed to allow numeric conversion." - ], - "metadata": { - "id": "00Pz2C4XzErX" - } - }, - { - "cell_type": "code", - "source": [ - "# Remove peso sign and commas\n", - "df.replace({'₱': '', ',': ''}, regex=True, inplace=True)" - ], - "metadata": { - "id": "pQegQmImzDKf" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.2 Data Type Conversion\n", - "\n", - "Relevant columns are converted to numeric format." - ], - "metadata": { - "id": "ulNfwSzEzHuu" - } - }, - { - "cell_type": "code", - "source": [ - "numeric_cols = [\n", - " 'jfc_consolidated_revenue_ph',\n", - " 'ph_business_sws_ph',\n", - " 'intl_business_sws_ph',\n", - " 'php_usd_rate',\n", - " 'food_cpi_ph',\n", - " 'headline_cpi_ph',\n", - " 'ph_segment_revenue_php'\n", - "]\n", - "\n", - "for col in numeric_cols:\n", - " df[col] = pd.to_numeric(df[col], errors='coerce')" - ], - "metadata": { - "id": "AM8yfi3IzJVW" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.3 Handling Invalid Values\n", - "\n", - "Spreadsheet errors such as \"#VALUE!\" are converted to null values." - ], - "metadata": { - "id": "Tfud0yLSzYM6" - } - }, - { - "cell_type": "code", - "source": [ - "df.replace(\"#VALUE!\", np.nan, inplace=True)" - ], - "metadata": { - "id": "FcU7GjsTzbtb" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.4 Unit Normalization\n", - "\n", - "Financial values are converted from PHP thousands to PHP millions." - ], - "metadata": { - "id": "bbQXTAEyzefj" - } - }, - { - "cell_type": "code", - "source": [ - "df['jfc_consolidated_revenue_ph'] = df['jfc_consolidated_revenue_ph'] / 1000\n", - "df['ph_segment_revenue_php'] = df['ph_segment_revenue_php'] / 1000" - ], - "metadata": { - "id": "GbPk4JWRzf5U" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.5 Handling Structural Missing Values\n", - "\n", - "Certain variables (e.g., operating income) are not disclosed.\n", - "\n", - "These values are retained as null and not imputed." - ], - "metadata": { - "id": "McVCiXcGzp88" - } + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Descriptive Analysis of Jollibee Foods Corporation (2021–2025)\n", + "\n", + "This notebook contains all data preparation, cleaning, feature engineering, and descriptive analysis performed for the study.\n", + "\n", + "Dataset sources:\n", + "- JFC Quarterly Press Releases\n", + "- JFC Annual Reports (Segment Data)\n", + "- BSP (PHP/USD)\n", + "- PSA / TradingEconomics (CPI)" + ], + "metadata": { + "id": "vh2Ov-B7xpNJ" + } + }, + { + "cell_type": "markdown", + "source": [ + "## 1. Import Libraries\n", + "\n", + "The following libraries are used for data manipulation, analysis, and visualization." + ], + "metadata": { + "id": "q8KDN7MOyp03" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ], + "metadata": { + "id": "teW6LA4nx9dr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## 1. Data Loading\n", + "\n", + "The dataset used in this analysis was compiled from multiple structured sources and consolidated into a single file.\n", + "\n", + "Each row represents a **year–quarter observation**, forming a panel dataset covering 2021 to 2025.\n", + "\n", + "The dataset includes:\n", + "- Financial variables (revenue, segment revenue)\n", + "- Operational variables (SWS, store counts)\n", + "- Macroeconomic variables (exchange rates, CPI)\n", + "\n", + "The dataset is loaded below for inspection." + ], + "metadata": { + "id": "moh6QOiZyXsY" + } + }, + { + "cell_type": "code", + "source": [ + "df = pd.read_csv(\"infom_data.csv\")\n", + "\n", + "df.head()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 226 }, + "id": "5OPwWNpsyS7E", + "outputId": "f0b5ed37-d3c8-4396-ae93-9653b15bef6e" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "# No imputation performed\n", - "df['ph_segment_operating_income_php'] = df['ph_segment_operating_income_php']" + "output_type": "execute_result", + "data": { + "text/plain": [ + " year quarter period jfc_consolidated_revenue_ph ph_business_sws_ph \\\n", + "0 2021 Q1 - 34,681 37,641 \n", + "1 2021 Q2 - 36,689 43,509 \n", + "2 2021 Q3 - 37,201 44,870 \n", + "3 2021 Q4 - 44,937 41,008 \n", + "4 2022 Q1 - 42,857 NaN \n", + "\n", + " intl_business_sws_ph ph_sssg_pct jollibee_brand_sws_growth_pct \\\n", + "0 34,915 -0.261 -0.091 \n", + "1 41,723 0.480 0.380 \n", + "2 43,552 0.324 0.054 \n", + "3 39,884 0.241 0.072 \n", + "4 NaN 0.229 0.278 \n", + "\n", + " store_count_ph store_count_global net_store_openings_ph php_usd_rate \\\n", + "0 3,218 5,827 1 48.280 \n", + "1 5,816 5,913 -44 48.181 \n", + "2 5,853 5,987 -45 50.106 \n", + "3 5,924 6,014 -48 50.451 \n", + "4 3,225 6,246 7 51.530 \n", + "\n", + " food_cpi_ph headline_cpi_ph ph_sws_growth_qoq ph_sws_growth_yoy \\\n", + "0 109.967 108.370 #VALUE! NaN \n", + "1 108.033 108.167 0.1559 NaN \n", + "2 108.600 109.167 0.0313 NaN \n", + "3 109.200 110.067 -0.0861 NaN \n", + "4 111.967 112.000 #VALUE! NaN \n", + "\n", + " ph_revenue_share ph_segment_revenue_php ph_segment_operating_income_php \\\n", + "0 0.61 94,301.17 - \n", + "1 0.61 94,301.17 - \n", + "2 0.61 94,301.17 - \n", + "3 0.61 94,301.17 - \n", + "4 NaN 131,580.48 - \n", + "\n", + " ph_segment_ebit_margin \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN " ], - "metadata": { - "id": "S5xPe-oXztg-" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.6 Missing Value Annotation\n", - "\n", - "A flag is introduced to indicate rows with structurally missing values or unavailable data (e.g., 2025 placeholder data)." + "text/html": [ + "\n", + "
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\"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"food_cpi_ph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.043153982142341,\n \"min\": 108.033,\n \"max\": 132.733,\n \"num_unique_values\": 20,\n \"samples\": [\n 109.967\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"headline_cpi_ph\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 7.436234830208092,\n \"min\": 108.167,\n \"max\": 129.167,\n \"num_unique_values\": 20,\n \"samples\": [\n 108.37\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ph_sws_growth_qoq\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"0.0492\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ph_sws_growth_yoy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.10030511784882497,\n \"min\": 0.032,\n \"max\": 0.3127,\n \"num_unique_values\": 7,\n 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\"description\": \"\"\n }\n }\n ]\n}" } + }, + "metadata": {}, + "execution_count": 4 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 3. Data Understanding\n", + "\n", + "This step examines:\n", + "- Data structure\n", + "- Data types\n", + "- Missing values\n", + "\n", + "The dataset is structured as a quarterly panel." + ], + "metadata": { + "id": "KxT8yz5RyuQD" + } + }, + { + "cell_type": "code", + "source": [ + "df.info()" + ], + "metadata": { + "id": "k-fsrVxay6JS", + "colab": { + "base_uri": "https://localhost:8080/" }, + "outputId": "2886b2d6-3bb8-4f38-e01e-351b7a3bf48a" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "df['missing_flag'] = df['year'] == 2025\n", - "\n", - "df['missing_reason'] = np.where(\n", - " df['ph_segment_operating_income_php'].isna(),\n", - " 'not_disclosed',\n", - " None\n", - ")" - ], - "metadata": { - "id": "82FhdzDk1kUm" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### 4.7 Final Data Check\n", - "\n", - "A final inspection is performed to verify data types and confirm that cleaning steps were successfully applied." - ], - "metadata": { - "id": "joVfTwQE1tVW" - } + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 20 entries, 0 to 19\n", + "Data columns (total 20 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 year 20 non-null int64 \n", + " 1 quarter 20 non-null object \n", + " 2 period 5 non-null object \n", + " 3 jfc_consolidated_revenue_ph 20 non-null object \n", + " 4 ph_business_sws_ph 13 non-null object \n", + " 5 intl_business_sws_ph 13 non-null object \n", + " 6 ph_sssg_pct 20 non-null float64\n", + " 7 jollibee_brand_sws_growth_pct 19 non-null float64\n", + " 8 store_count_ph 20 non-null object \n", + " 9 store_count_global 20 non-null object \n", + " 10 net_store_openings_ph 20 non-null int64 \n", + " 11 php_usd_rate 20 non-null float64\n", + " 12 food_cpi_ph 20 non-null float64\n", + " 13 headline_cpi_ph 20 non-null float64\n", + " 14 ph_sws_growth_qoq 20 non-null object \n", + " 15 ph_sws_growth_yoy 7 non-null float64\n", + " 16 ph_revenue_share 4 non-null float64\n", + " 17 ph_segment_revenue_php 16 non-null object \n", + " 18 ph_segment_operating_income_php 5 non-null object \n", + " 19 ph_segment_ebit_margin 0 non-null float64\n", + "dtypes: float64(8), int64(2), object(10)\n", + "memory usage: 3.3+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df.describe()" + ], + "metadata": { + "id": "7iuvqG2Py7Uw", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 320 }, + "outputId": "a81fd9b4-c358-45c6-d8bc-29e9bca91796" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "df.info()\n", - "df.isnull().sum()" + "output_type": "execute_result", + "data": { + "text/plain": [ + " year ph_sssg_pct jollibee_brand_sws_growth_pct \\\n", + "count 20.000000 20.000000 19.000000 \n", + "mean 2023.000000 0.169350 0.169316 \n", + "std 1.450953 0.188192 0.148542 \n", + "min 2021.000000 -0.261000 -0.091000 \n", + "25% 2022.000000 0.064000 0.095500 \n", + "50% 2023.000000 0.102000 0.139000 \n", + "75% 2024.000000 0.266500 0.190000 \n", + "max 2025.000000 0.515000 0.627000 \n", + "\n", + " net_store_openings_ph php_usd_rate food_cpi_ph headline_cpi_ph \\\n", + "count 20.000000 20.000000 20.000000 20.000000 \n", + "mean 13.400000 54.831750 122.004950 120.138650 \n", + "std 32.759731 3.368185 9.043154 7.436235 \n", + "min -48.000000 48.181000 108.033000 108.167000 \n", + "25% 0.500000 52.358750 112.991500 113.550250 \n", + "50% 11.000000 56.012500 124.400000 121.916500 \n", + "75% 42.500000 57.284250 129.975000 126.617000 \n", + "max 59.000000 58.687000 132.733000 129.167000 \n", + "\n", + " ph_sws_growth_yoy ph_revenue_share ph_segment_ebit_margin \n", + "count 7.000000 4.00 0.0 \n", + "mean 0.173700 0.61 NaN \n", + "std 0.100305 0.00 NaN \n", + "min 0.032000 0.61 NaN \n", + "25% 0.114350 0.61 NaN \n", + "50% 0.138500 0.61 NaN \n", + "75% 0.252000 0.61 NaN \n", + "max 0.312700 0.61 NaN " ], - "metadata": { - "id": "EaxGZM_V1xK0", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "0e1c1450-492d-46dc-b0ed-900368868b9f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 20 entries, 0 to 19\n", - "Data columns (total 22 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 year 20 non-null int64 \n", - " 1 quarter 20 non-null object \n", - " 2 period 5 non-null object \n", - " 3 jfc_consolidated_revenue_ph 20 non-null float64\n", - " 4 ph_business_sws_ph 13 non-null float64\n", - " 5 intl_business_sws_ph 13 non-null float64\n", - " 6 ph_sssg_pct 20 non-null float64\n", - " 7 jollibee_brand_sws_growth_pct 19 non-null float64\n", - " 8 store_count_ph 20 non-null object \n", - " 9 store_count_global 20 non-null object \n", - " 10 net_store_openings_ph 20 non-null int64 \n", - " 11 php_usd_rate 20 non-null float64\n", - " 12 food_cpi_ph 20 non-null float64\n", - " 13 headline_cpi_ph 20 non-null float64\n", - " 14 ph_sws_growth_qoq 9 non-null object \n", - " 15 ph_sws_growth_yoy 7 non-null float64\n", - " 16 ph_revenue_share 4 non-null float64\n", - " 17 ph_segment_revenue_php 16 non-null float64\n", - " 18 ph_segment_operating_income_php 5 non-null object \n", - " 19 ph_segment_ebit_margin 0 non-null float64\n", - " 20 missing_flag 20 non-null bool \n", - " 21 missing_reason 15 non-null object \n", - "dtypes: bool(1), float64(12), int64(2), object(7)\n", - "memory usage: 3.4+ KB\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "year 0\n", - "quarter 0\n", - "period 15\n", - "jfc_consolidated_revenue_ph 0\n", - "ph_business_sws_ph 7\n", - "intl_business_sws_ph 7\n", - "ph_sssg_pct 0\n", - "jollibee_brand_sws_growth_pct 1\n", - "store_count_ph 0\n", - "store_count_global 0\n", - "net_store_openings_ph 0\n", - "php_usd_rate 0\n", - "food_cpi_ph 0\n", - "headline_cpi_ph 0\n", - "ph_sws_growth_qoq 11\n", - "ph_sws_growth_yoy 13\n", - "ph_revenue_share 16\n", - "ph_segment_revenue_php 4\n", - "ph_segment_operating_income_php 15\n", - "ph_segment_ebit_margin 20\n", - "missing_flag 0\n", - "missing_reason 5\n", - "dtype: int64" - ], - "text/html": [ - "
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"cell_type": "code", - "source": [ - "# ── COMPUTED COLUMNS ─────────────────────────────────\n", - "# ph_sws_growth_qoq\n", - "df['ph_sws_growth_qoq'] = df['ph_business_sws_ph'].pct_change()\n", - "# Reset Q1 of each year — QoQ across year boundary is not meaningful\n", - "df.loc[df['quarter'] == 'Q1', 'ph_sws_growth_qoq'] = np.nan\n", - "\n", - "# ph_sws_growth_yoy\n", - "df['ph_sws_growth_yoy'] = df['ph_business_sws_ph'].pct_change(periods=4)\n", - "\n", - "# ph_revenue_share (annual)\n", - "annual_seg = {2021: 94301.17, 2022: 131580.48, 2023: 152457.06, 2024: 166546.84}\n", - "annual_rev = {2021: 153575.59, 2022: 211902.22, 2023: 244107.35, 2024: 269942.33}\n", - "df['ph_revenue_share'] = df['year'].map(\n", - " lambda y: annual_seg[y] / annual_rev[y] if y in annual_seg else np.nan\n", - ")\n", - "\n", - "df[['year','quarter','ph_sws_growth_qoq','ph_sws_growth_yoy','ph_revenue_share']]" - ], - "metadata": { - "collapsed": true, - "id": "v5Xw6hloNH84" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Q1 — Quarterly Revenue + YoY Growth\n", - "df_viz = df[df['year'] < 2025].copy()\n", - "df_viz['period'] = df_viz['year'].astype(str) + ' ' + df_viz['quarter']\n", - "df_viz['revenue_yoy'] = df_viz['jfc_consolidated_revenue_ph'].pct_change(periods=4)\n", - "\n", - "# Summary stats\n", - "print(\"=== Q1: Revenue Descriptive Statistics ===\")\n", - "print(df_viz['jfc_consolidated_revenue_ph'].describe().round(2))" + "output_type": "execute_result", + "data": { + "text/plain": [ + "year 0\n", + "quarter 0\n", + "period 15\n", + "jfc_consolidated_revenue_ph 0\n", + "ph_business_sws_ph 7\n", + "intl_business_sws_ph 7\n", + "ph_sssg_pct 0\n", + "jollibee_brand_sws_growth_pct 1\n", + "store_count_ph 0\n", + "store_count_global 0\n", + "net_store_openings_ph 0\n", + "php_usd_rate 0\n", + "food_cpi_ph 0\n", + "headline_cpi_ph 0\n", + "ph_sws_growth_qoq 0\n", + "ph_sws_growth_yoy 13\n", + "ph_revenue_share 16\n", + "ph_segment_revenue_php 4\n", + "ph_segment_operating_income_php 15\n", + "ph_segment_ebit_margin 20\n", + "dtype: int64" ], - "metadata": { - "id": "9skN1zZ_sTZp", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "bdb330c6-165e-4b67-af9a-a6245eac80ba" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "=== Q1: Revenue Descriptive Statistics ===\n", - "count 16.00\n", - "mean 54.97\n", - "std 12.33\n", - "min 34.68\n", - "25% 44.42\n", - "50% 58.12\n", - "75% 62.83\n", - "max 73.69\n", - "Name: jfc_consolidated_revenue_ph, dtype: float64\n" - ] - } + "text/html": [ + "
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" ] + }, + "metadata": {}, + "execution_count": 7 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 4. Data Cleaning and Preprocessing\n", + "\n", + "The dataset contains formatting inconsistencies and structural missing values.\n", + "\n", + "The following steps are performed:\n", + "- Remove formatting artifacts\n", + "- Convert values to numeric\n", + "- Normalize units\n", + "- Preserve structural nulls" + ], + "metadata": { + "id": "pbXpREXfzCP_" + } + }, + { + "cell_type": "markdown", + "source": [ + "### 4.0 Column Name Standardization\n", + "\n", + "Column names are cleaned to remove leading/trailing spaces and ensure consistency across the dataset." + ], + "metadata": { + "id": "-prB_UGO1YF_" + } + }, + { + "cell_type": "code", + "source": [ + "df.columns = df.columns.str.strip().str.lower()" + ], + "metadata": { + "id": "9Jus4JzX1Yah" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.1 Removing Formatting Artifacts\n", + "\n", + "Currency symbols and commas are removed to allow numeric conversion." + ], + "metadata": { + "id": "00Pz2C4XzErX" + } + }, + { + "cell_type": "code", + "source": [ + "# Remove peso sign and commas\n", + "df.replace({'₱': '', ',': ''}, regex=True, inplace=True)" + ], + "metadata": { + "id": "pQegQmImzDKf" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.2 Data Type Conversion\n", + "\n", + "Relevant columns are converted to numeric format." + ], + "metadata": { + "id": "ulNfwSzEzHuu" + } + }, + { + "cell_type": "code", + "source": [ + "numeric_cols = [\n", + " 'jfc_consolidated_revenue_ph',\n", + " 'ph_business_sws_ph',\n", + " 'intl_business_sws_ph',\n", + " 'php_usd_rate',\n", + " 'food_cpi_ph',\n", + " 'headline_cpi_ph',\n", + " 'ph_segment_revenue_php'\n", + "]\n", + "\n", + "for col in numeric_cols:\n", + " df[col] = pd.to_numeric(df[col], errors='coerce')" + ], + "metadata": { + "id": "AM8yfi3IzJVW" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.3 Handling Invalid Values\n", + "\n", + "Spreadsheet errors such as \"#VALUE!\" are converted to null values." + ], + "metadata": { + "id": "Tfud0yLSzYM6" + } + }, + { + "cell_type": "code", + "source": [ + "df.replace(\"#VALUE!\", np.nan, inplace=True)" + ], + "metadata": { + "id": "FcU7GjsTzbtb" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.4 Unit Normalization\n", + "\n", + "Financial values are converted from PHP thousands to PHP millions." + ], + "metadata": { + "id": "bbQXTAEyzefj" + } + }, + { + "cell_type": "code", + "source": [ + "df['jfc_consolidated_revenue_ph'] = df['jfc_consolidated_revenue_ph'] / 1000\n", + "df['ph_segment_revenue_php'] = df['ph_segment_revenue_php'] / 1000" + ], + "metadata": { + "id": "GbPk4JWRzf5U" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.5 Handling Structural Missing Values\n", + "\n", + "Certain variables (e.g., operating income) are not disclosed.\n", + "\n", + "These values are retained as null and not imputed." + ], + "metadata": { + "id": "McVCiXcGzp88" + } + }, + { + "cell_type": "code", + "source": [ + "# No imputation performed\n", + "df['ph_segment_operating_income_php'] = df['ph_segment_operating_income_php']" + ], + "metadata": { + "id": "S5xPe-oXztg-" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.6 Missing Value Annotation\n", + "\n", + "A flag is introduced to indicate rows with structurally missing values or unavailable data (e.g., 2025 placeholder data)." + ], + "metadata": { + "id": "exnBQTdi1hMQ" + } + }, + { + "cell_type": "code", + "source": [ + "df['missing_flag'] = df['year'] == 2025\n", + "\n", + "df['missing_reason'] = np.where(\n", + " df['ph_segment_operating_income_php'].isna(),\n", + " 'not_disclosed',\n", + " None\n", + ")" + ], + "metadata": { + "id": "82FhdzDk1kUm" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### 4.7 Final Data Check\n", + "\n", + "A final inspection is performed to verify data types and confirm that cleaning steps were successfully applied." + ], + "metadata": { + "id": "joVfTwQE1tVW" + } + }, + { + "cell_type": "code", + "source": [ + "df.info()\n", + "df.isnull().sum()" + ], + "metadata": { + "id": "EaxGZM_V1xK0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 }, + "outputId": "0e1c1450-492d-46dc-b0ed-900368868b9f" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", - "fig.suptitle('Q1: JFC Quarterly Revenue Trends (2021–2024)', fontsize=14, fontweight='bold')\n", - "\n", - "# Revenue bar chart\n", - "ax1 = axes[0]\n", - "sns.barplot(data=df_viz, x='period', y='jfc_consolidated_revenue_ph', color='#ef4444', ax=ax1)\n", - "ax1.set_title('Consolidated Quarterly Revenue (PHP Millions)')\n", - "ax1.set_ylabel('Revenue (PHP Millions)')\n", - "ax1.set_xlabel('')\n", - "ax1.tick_params(axis='x', rotation=45)\n", - "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for p in ax1.patches:\n", - " ax1.annotate(f'₱{p.get_height():,.0f}',\n", - " (p.get_x() + p.get_width()/2, p.get_height()),\n", - " ha='center', va='bottom', fontsize=8)\n", - "\n", - "# YoY growth bar chart\n", - "ax2 = axes[1]\n", - "yoy_df = df_viz.dropna(subset=['revenue_yoy'])\n", - "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in yoy_df['revenue_yoy']]\n", - "bars = ax2.bar(yoy_df['period'], yoy_df['revenue_yoy'] * 100, color=colors)\n", - "ax2.set_title('Year-over-Year Revenue Growth (%)')\n", - "ax2.set_ylabel('YoY Growth (%)')\n", - "ax2.set_xlabel('')\n", - "ax2.tick_params(axis='x', rotation=45)\n", - "ax2.axhline(0, color='black', linewidth=0.8)\n", - "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for bar, val in zip(bars, yoy_df['revenue_yoy'] * 100):\n", - " ax2.annotate(f'{val:.1f}%',\n", - " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", - " ha='center', va='bottom', fontsize=8)\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('q1_revenue.png', dpi=150, bbox_inches='tight')\n", - "plt.show()" - ], - "metadata": { - "id": "gwmSf-d_sf_x", - "collapsed": true - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Q2: What were the quarterly growth trends in System-Wide Sales (SWS) for the Philippine business?\n" - ], - "metadata": { - "id": "JoaZfHYJkH5z" - } + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 20 entries, 0 to 19\n", + "Data columns (total 22 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 year 20 non-null int64 \n", + " 1 quarter 20 non-null object \n", + " 2 period 5 non-null object \n", + " 3 jfc_consolidated_revenue_ph 20 non-null float64\n", + " 4 ph_business_sws_ph 13 non-null float64\n", + " 5 intl_business_sws_ph 13 non-null float64\n", + " 6 ph_sssg_pct 20 non-null float64\n", + " 7 jollibee_brand_sws_growth_pct 19 non-null float64\n", + " 8 store_count_ph 20 non-null object \n", + " 9 store_count_global 20 non-null object \n", + " 10 net_store_openings_ph 20 non-null int64 \n", + " 11 php_usd_rate 20 non-null float64\n", + " 12 food_cpi_ph 20 non-null float64\n", + " 13 headline_cpi_ph 20 non-null float64\n", + " 14 ph_sws_growth_qoq 9 non-null object \n", + " 15 ph_sws_growth_yoy 7 non-null float64\n", + " 16 ph_revenue_share 4 non-null float64\n", + " 17 ph_segment_revenue_php 16 non-null float64\n", + " 18 ph_segment_operating_income_php 5 non-null object \n", + " 19 ph_segment_ebit_margin 0 non-null float64\n", + " 20 missing_flag 20 non-null bool \n", + " 21 missing_reason 15 non-null object \n", + "dtypes: bool(1), float64(12), int64(2), object(7)\n", + "memory usage: 3.4+ KB\n" + ] }, { - "cell_type": "code", - "source": [ - "# Q2 — SWS and SSSG Trends\n", - "sws_df = df[df['year'] < 2025].copy()\n", - "sws_df['period'] = sws_df['year'].astype(str) + ' ' + sws_df['quarter']\n", - "\n", - "# Summary stats\n", - "print(\"=== Q2: PH Business SWS Descriptive Statistics (PHP Millions) ===\")\n", - "print(sws_df['ph_business_sws_ph'].describe().round(2))\n", - "print()\n", - "print(\"=== Q2: SSSG Descriptive Statistics (%) ===\")\n", - "print((sws_df['ph_sssg_pct'] * 100).describe().round(2))" + "output_type": "execute_result", + "data": { + "text/plain": [ + "year 0\n", + "quarter 0\n", + "period 15\n", + "jfc_consolidated_revenue_ph 0\n", + "ph_business_sws_ph 7\n", + "intl_business_sws_ph 7\n", + "ph_sssg_pct 0\n", + "jollibee_brand_sws_growth_pct 1\n", + "store_count_ph 0\n", + "store_count_global 0\n", + "net_store_openings_ph 0\n", + "php_usd_rate 0\n", + "food_cpi_ph 0\n", + "headline_cpi_ph 0\n", + "ph_sws_growth_qoq 11\n", + "ph_sws_growth_yoy 13\n", + "ph_revenue_share 16\n", + "ph_segment_revenue_php 4\n", + "ph_segment_operating_income_php 15\n", + "ph_segment_ebit_margin 20\n", + "missing_flag 0\n", + "missing_reason 5\n", + "dtype: int64" ], - "metadata": { - "id": "206ChADneF6F", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "1cf6c775-eaf9-4246-cb4e-4c92474ef6a0" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "=== Q2: PH Business SWS Descriptive Statistics (PHP Millions) ===\n", - "count 13.00\n", - "mean 54887.15\n", - "std 12246.58\n", - "min 37641.00\n", - "25% 44870.00\n", - "50% 54184.00\n", - "75% 63680.00\n", - "max 75800.00\n", - "Name: ph_business_sws_ph, dtype: float64\n", - "\n", - "=== Q2: SSSG Descriptive Statistics (%) ===\n", - "count 16.00\n", - "mean 19.85\n", - "std 20.03\n", - "min -26.10\n", - "25% 7.72\n", - "50% 17.95\n", - "75% 31.80\n", - "max 51.50\n", - "Name: ph_sssg_pct, dtype: float64\n" - ] - } + "text/html": [ + "
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" ] + }, + "metadata": {}, + "execution_count": 15 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Q1: What were the total quarterly revenues from 2021 to 2025, and how did they change year over year?" + ], + "metadata": { + "id": "n_8mha3Bj-YI" + } + }, + { + "cell_type": "code", + "source": [ + "# ── COMPUTED COLUMNS ─────────────────────────────────\n", + "# ph_sws_growth_qoq\n", + "df['ph_sws_growth_qoq'] = df['ph_business_sws_ph'].pct_change()\n", + "# Reset Q1 of each year — QoQ across year boundary is not meaningful\n", + "df.loc[df['quarter'] == 'Q1', 'ph_sws_growth_qoq'] = np.nan\n", + "\n", + "# ph_sws_growth_yoy\n", + "df['ph_sws_growth_yoy'] = df['ph_business_sws_ph'].pct_change(periods=4)\n", + "\n", + "# ph_revenue_share (annual)\n", + "annual_seg = {2021: 94301.17, 2022: 131580.48, 2023: 152457.06, 2024: 166546.84}\n", + "annual_rev = {2021: 153575.59, 2022: 211902.22, 2023: 244107.35, 2024: 269942.33}\n", + "df['ph_revenue_share'] = df['year'].map(\n", + " lambda y: annual_seg[y] / annual_rev[y] if y in annual_seg else np.nan\n", + ")\n", + "\n", + "df[['year','quarter','ph_sws_growth_qoq','ph_sws_growth_yoy','ph_revenue_share']]" + ], + "metadata": { + "collapsed": true, + "id": "v5Xw6hloNH84" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Q1 — Quarterly Revenue + YoY Growth\n", + "df_viz = df[df['year'] < 2025].copy()\n", + "df_viz['period'] = df_viz['year'].astype(str) + ' ' + df_viz['quarter']\n", + "df_viz['revenue_yoy'] = df_viz['jfc_consolidated_revenue_ph'].pct_change(periods=4)\n", + "\n", + "# Summary stats\n", + "print(\"=== Q1: Revenue Descriptive Statistics ===\")\n", + "print(df_viz['jfc_consolidated_revenue_ph'].describe().round(2))" + ], + "metadata": { + "id": "9skN1zZ_sTZp", + "colab": { + "base_uri": "https://localhost:8080/" }, + "outputId": "bdb330c6-165e-4b67-af9a-a6245eac80ba" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", - "fig.suptitle('Q2: PH Business SWS and SSSG Trends (2021–2024)', fontsize=14, fontweight='bold')\n", - "\n", - "# SWS bar chart\n", - "ax1 = axes[0]\n", - "sws_clean = sws_df.dropna(subset=['ph_business_sws_ph'])\n", - "sns.barplot(data=sws_clean, x='period', y='ph_business_sws_ph', color='#1f77b4', ax=ax1)\n", - "ax1.set_title('Philippine Business System-Wide Sales (PHP Millions)')\n", - "ax1.set_ylabel('SWS (PHP Millions)')\n", - "ax1.set_xlabel('')\n", - "ax1.tick_params(axis='x', rotation=45)\n", - "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for p in ax1.patches:\n", - " ax1.annotate(f'₱{p.get_height():,.0f}',\n", - " (p.get_x() + p.get_width()/2, p.get_height()),\n", - " ha='center', va='bottom', fontsize=8)\n", - "\n", - "# SSSG bar chart\n", - "ax2 = axes[1]\n", - "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in sws_df['ph_sssg_pct']]\n", - "bars = ax2.bar(sws_df['period'], sws_df['ph_sssg_pct'] * 100, color=colors)\n", - "ax2.set_title('Same-Store Sales Growth % (SSSG)')\n", - "ax2.set_ylabel('SSSG (%)')\n", - "ax2.set_xlabel('')\n", - "ax2.tick_params(axis='x', rotation=45)\n", - "ax2.axhline(0, color='black', linewidth=0.8)\n", - "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for bar, val in zip(bars, sws_df['ph_sssg_pct'] * 100):\n", - " ax2.annotate(f'{val:.1f}%',\n", - " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", - " ha='center', va='bottom' if val >= 0 else 'top', fontsize=8)\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('q2_sws.png', dpi=150, bbox_inches='tight')\n", - "plt.show()" - ], - "metadata": { - "id": "HK84X2MbeIqY", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 728 - }, - "outputId": "c4bd0a8d-56f4-4c29-ed47-34205e68e3de" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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- }, - "metadata": {} - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Q1: Revenue Descriptive Statistics ===\n", + "count 16.00\n", + "mean 54.97\n", + "std 12.33\n", + "min 34.68\n", + "25% 44.42\n", + "50% 58.12\n", + "75% 62.83\n", + "max 73.69\n", + "Name: jfc_consolidated_revenue_ph, dtype: float64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", + "fig.suptitle('Q1: JFC Quarterly Revenue Trends (2021–2024)', fontsize=14, fontweight='bold')\n", + "\n", + "# Revenue bar chart\n", + "ax1 = axes[0]\n", + "sns.barplot(data=df_viz, x='period', y='jfc_consolidated_revenue_ph', color='#ef4444', ax=ax1)\n", + "ax1.set_title('Consolidated Quarterly Revenue (PHP Millions)')\n", + "ax1.set_ylabel('Revenue (PHP Millions)')\n", + "ax1.set_xlabel('')\n", + "ax1.tick_params(axis='x', rotation=45)\n", + "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for p in ax1.patches:\n", + " ax1.annotate(f'₱{p.get_height():,.0f}',\n", + " (p.get_x() + p.get_width()/2, p.get_height()),\n", + " ha='center', va='bottom', fontsize=8)\n", + "\n", + "# YoY growth bar chart\n", + "ax2 = axes[1]\n", + "yoy_df = df_viz.dropna(subset=['revenue_yoy'])\n", + "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in yoy_df['revenue_yoy']]\n", + "bars = ax2.bar(yoy_df['period'], yoy_df['revenue_yoy'] * 100, color=colors)\n", + "ax2.set_title('Year-over-Year Revenue Growth (%)')\n", + "ax2.set_ylabel('YoY Growth (%)')\n", + "ax2.set_xlabel('')\n", + "ax2.tick_params(axis='x', rotation=45)\n", + "ax2.axhline(0, color='black', linewidth=0.8)\n", + "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for bar, val in zip(bars, yoy_df['revenue_yoy'] * 100):\n", + " ax2.annotate(f'{val:.1f}%',\n", + " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", + " ha='center', va='bottom', fontsize=8)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('q1_revenue.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "gwmSf-d_sf_x", + "collapsed": true + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": "### Key Insight — Q1\n\nAnnual consolidated revenue grew from ₱153.58B (2021) to ₱269.94B (2024), but the growth *rate* decelerated sharply each year: **+38.0% (2021→2022) → +15.2% (2022→2023) → +10.6% (2023→2024)**. This pattern is consistent with post-pandemic base effects — 2021 was still a COVID-depressed baseline, so early YoY comparisons look inflated. The more recent ~10–11% growth is a better read on JFC's underlying run-rate going forward than the 2022 spike.", + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Q2: What were the quarterly growth trends in System-Wide Sales (SWS) for the Philippine business?\n" + ], + "metadata": { + "id": "JoaZfHYJkH5z" + } + }, + { + "cell_type": "code", + "source": [ + "# Q2 — SWS and SSSG Trends\n", + "sws_df = df[df['year'] < 2025].copy()\n", + "sws_df['period'] = sws_df['year'].astype(str) + ' ' + sws_df['quarter']\n", + "\n", + "# Summary stats\n", + "print(\"=== Q2: PH Business SWS Descriptive Statistics (PHP Millions) ===\")\n", + "print(sws_df['ph_business_sws_ph'].describe().round(2))\n", + "print()\n", + "print(\"=== Q2: SSSG Descriptive Statistics (%) ===\")\n", + "print((sws_df['ph_sssg_pct'] * 100).describe().round(2))" + ], + "metadata": { + "id": "206ChADneF6F", + "colab": { + "base_uri": "https://localhost:8080/" }, + "outputId": "1cf6c775-eaf9-4246-cb4e-4c92474ef6a0" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "## Q3: How did the Philippines store network grow sequentially from quarter to quarter?" - ], - "metadata": { - "id": "P1j3LHg7kLYg" - } + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Q2: PH Business SWS Descriptive Statistics (PHP Millions) ===\n", + "count 13.00\n", + "mean 54887.15\n", + "std 12246.58\n", + "min 37641.00\n", + "25% 44870.00\n", + "50% 54184.00\n", + "75% 63680.00\n", + "max 75800.00\n", + "Name: ph_business_sws_ph, dtype: float64\n", + "\n", + "=== Q2: SSSG Descriptive Statistics (%) ===\n", + "count 16.00\n", + "mean 19.85\n", + "std 20.03\n", + "min -26.10\n", + "25% 7.72\n", + "50% 17.95\n", + "75% 31.80\n", + "max 51.50\n", + "Name: ph_sssg_pct, dtype: float64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", + "fig.suptitle('Q2: PH Business SWS and SSSG Trends (2021–2024)', fontsize=14, fontweight='bold')\n", + "\n", + "# SWS bar chart\n", + "ax1 = axes[0]\n", + "sws_clean = sws_df.dropna(subset=['ph_business_sws_ph'])\n", + "sns.barplot(data=sws_clean, x='period', y='ph_business_sws_ph', color='#1f77b4', ax=ax1)\n", + "ax1.set_title('Philippine Business System-Wide Sales (PHP Millions)')\n", + "ax1.set_ylabel('SWS (PHP Millions)')\n", + "ax1.set_xlabel('')\n", + "ax1.tick_params(axis='x', rotation=45)\n", + "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for p in ax1.patches:\n", + " ax1.annotate(f'₱{p.get_height():,.0f}',\n", + " (p.get_x() + p.get_width()/2, p.get_height()),\n", + " ha='center', va='bottom', fontsize=8)\n", + "\n", + "# SSSG bar chart\n", + "ax2 = axes[1]\n", + "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in sws_df['ph_sssg_pct']]\n", + "bars = ax2.bar(sws_df['period'], sws_df['ph_sssg_pct'] * 100, color=colors)\n", + "ax2.set_title('Same-Store Sales Growth % (SSSG)')\n", + "ax2.set_ylabel('SSSG (%)')\n", + "ax2.set_xlabel('')\n", + "ax2.tick_params(axis='x', rotation=45)\n", + "ax2.axhline(0, color='black', linewidth=0.8)\n", + "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for bar, val in zip(bars, sws_df['ph_sssg_pct'] * 100):\n", + " ax2.annotate(f'{val:.1f}%',\n", + " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", + " ha='center', va='bottom' if val >= 0 else 'top', fontsize=8)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('q2_sws.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "HK84X2MbeIqY", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 }, + "outputId": "c4bd0a8d-56f4-4c29-ed47-34205e68e3de" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Q3 — Store Network Growth\n", - "\n", - "df['store_count_ph'] = pd.to_numeric(df['store_count_ph'], errors='coerce')\n", - "df['net_store_openings_ph'] = pd.to_numeric(df['net_store_openings_ph'], errors='coerce')\n", - "\n", - "q3_df = df[df['year'] < 2025].copy()\n", - "q3_df['period'] = q3_df['year'].astype(str) + ' ' + q3_df['quarter']\n", - "\n", - "# Summary stats\n", - "print(\"=== Q3: Store Count Descriptive Statistics ===\")\n", - "print(q3_df['store_count_ph'].describe().round(2))\n", - "print()\n", - "print(\"=== Q3: Net Store Openings Descriptive Statistics ===\")\n", - "print(q3_df['net_store_openings_ph'].describe().round(2))" + "output_type": "display_data", + "data": { + "text/plain": [ + "
" ], - "metadata": { - "id": "lrSct2K2kNwS", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "b08bab37-769f-46c3-e93a-45c875bd56fc" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "=== Q3: Store Count Descriptive Statistics ===\n", - "count 16.00\n", - "mean 3775.44\n", - "std 1037.66\n", - "min 3218.00\n", - "25% 3270.50\n", - "50% 3316.00\n", - "75% 3356.50\n", - "max 5924.00\n", - "Name: store_count_ph, dtype: float64\n", - "\n", - "=== Q3: Net Store Openings Descriptive Statistics ===\n", - "count 16.00\n", - "mean 9.12\n", - "std 34.30\n", - "min -48.00\n", - "25% -2.75\n", - "50% 7.50\n", - "75% 42.50\n", - "max 56.00\n", - "Name: net_store_openings_ph, dtype: float64\n" - ] - } - ] + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": "### Key Insight — Q2\n\nSSSG averages **19.85%**, but with a standard deviation (**20.03**) almost as large as the mean, swinging from **-26.1%** to **+51.5%**. That volatility isn't a sign of an unstable business — it's the arithmetic of comparing against pandemic-lockdown quarters: SSSG measured against a closed-store baseline in 2021 mechanically produces huge negative or positive swings. Read the *direction* and *narrowing trend* of SSSG here, not the raw magnitude, until the comparison base fully normalizes past 2022.", + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Q3: How did the Philippines store network grow sequentially from quarter to quarter?" + ], + "metadata": { + "id": "P1j3LHg7kLYg" + } + }, + { + "cell_type": "code", + "source": [ + "# Q3 — Store Network Growth\n", + "\n", + "df['store_count_ph'] = pd.to_numeric(df['store_count_ph'], errors='coerce')\n", + "df['net_store_openings_ph'] = pd.to_numeric(df['net_store_openings_ph'], errors='coerce')\n", + "\n", + "q3_df = df[df['year'] < 2025].copy()\n", + "q3_df['period'] = q3_df['year'].astype(str) + ' ' + q3_df['quarter']\n", + "\n", + "# Summary stats\n", + "print(\"=== Q3: Store Count Descriptive Statistics ===\")\n", + "print(q3_df['store_count_ph'].describe().round(2))\n", + "print()\n", + "print(\"=== Q3: Net Store Openings Descriptive Statistics ===\")\n", + "print(q3_df['net_store_openings_ph'].describe().round(2))" + ], + "metadata": { + "id": "lrSct2K2kNwS", + "colab": { + "base_uri": "https://localhost:8080/" }, + "outputId": "b08bab37-769f-46c3-e93a-45c875bd56fc" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", - "fig.suptitle('Q3: Philippine Store Network Growth (2021–2024)', fontsize=14, fontweight='bold')\n", - "\n", - "# Chart 1 — Store count bar chart\n", - "ax1 = axes[0]\n", - "sns.barplot(data=q3_df, x='period', y='store_count_ph', color='#2ca02c', ax=ax1)\n", - "ax1.set_title('Total Philippine Store Count per Quarter')\n", - "ax1.set_ylabel('Number of Stores')\n", - "ax1.set_xlabel('')\n", - "ax1.tick_params(axis='x', rotation=45)\n", - "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for p in ax1.patches:\n", - " ax1.annotate(f'{int(p.get_height())}',\n", - " (p.get_x() + p.get_width()/2, p.get_height()),\n", - " ha='center', va='bottom', fontsize=8)\n", - "\n", - "# Chart 2 — Net store openings bar chart\n", - "ax2 = axes[1]\n", - "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in q3_df['net_store_openings_ph']]\n", - "bars = ax2.bar(q3_df['period'], q3_df['net_store_openings_ph'], color=colors)\n", - "ax2.set_title('Net Store Openings per Quarter')\n", - "ax2.set_ylabel('Net Openings')\n", - "ax2.set_xlabel('')\n", - "ax2.tick_params(axis='x', rotation=45)\n", - "ax2.axhline(0, color='black', linewidth=0.8)\n", - "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for bar, val in zip(bars, q3_df['net_store_openings_ph']):\n", - " ax2.annotate(f'{int(val)}',\n", - " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", - " ha='center', va='bottom' if val >= 0 else 'top', fontsize=8)\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('q3_store_network.png', dpi=150, bbox_inches='tight')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 728 - }, - "id": "e0bO4Wu45SV_", - "outputId": "f3158f74-d131-426d-aeba-1fb24ca26b45" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Q3: Store Count Descriptive Statistics ===\n", + "count 16.00\n", + "mean 3775.44\n", + "std 1037.66\n", + "min 3218.00\n", + "25% 3270.50\n", + "50% 3316.00\n", + "75% 3356.50\n", + "max 5924.00\n", + "Name: store_count_ph, dtype: float64\n", + "\n", + "=== Q3: Net Store Openings Descriptive Statistics ===\n", + "count 16.00\n", + "mean 9.12\n", + "std 34.30\n", + "min -48.00\n", + "25% -2.75\n", + "50% 7.50\n", + "75% 42.50\n", + "max 56.00\n", + "Name: net_store_openings_ph, dtype: float64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n", + "fig.suptitle('Q3: Philippine Store Network Growth (2021–2024)', fontsize=14, fontweight='bold')\n", + "\n", + "# Chart 1 — Store count bar chart\n", + "ax1 = axes[0]\n", + "sns.barplot(data=q3_df, x='period', y='store_count_ph', color='#2ca02c', ax=ax1)\n", + "ax1.set_title('Total Philippine Store Count per Quarter')\n", + "ax1.set_ylabel('Number of Stores')\n", + "ax1.set_xlabel('')\n", + "ax1.tick_params(axis='x', rotation=45)\n", + "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for p in ax1.patches:\n", + " ax1.annotate(f'{int(p.get_height())}',\n", + " (p.get_x() + p.get_width()/2, p.get_height()),\n", + " ha='center', va='bottom', fontsize=8)\n", + "\n", + "# Chart 2 — Net store openings bar chart\n", + "ax2 = axes[1]\n", + "colors = ['#2ca02c' if v >= 0 else '#d62728' for v in q3_df['net_store_openings_ph']]\n", + "bars = ax2.bar(q3_df['period'], q3_df['net_store_openings_ph'], color=colors)\n", + "ax2.set_title('Net Store Openings per Quarter')\n", + "ax2.set_ylabel('Net Openings')\n", + "ax2.set_xlabel('')\n", + "ax2.tick_params(axis='x', rotation=45)\n", + "ax2.axhline(0, color='black', linewidth=0.8)\n", + "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for bar, val in zip(bars, q3_df['net_store_openings_ph']):\n", + " ax2.annotate(f'{int(val)}',\n", + " (bar.get_x() + bar.get_width()/2, bar.get_height()),\n", + " ha='center', va='bottom' if val >= 0 else 'top', fontsize=8)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('q3_store_network.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 }, + "id": "e0bO4Wu45SV_", + "outputId": "f3158f74-d131-426d-aeba-1fb24ca26b45" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "## Q4: How much did the Philippine operations contribute to overall company revenue during the period?" + "output_type": "display_data", + "data": { + "text/plain": [ + "
" ], - "metadata": { - "id": "PJHtB4dGkOD_" - } + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": "### Key Insight — Q3\n\nNet store openings alternate between deep negatives (as low as **-48** in a quarter) and sharp positives (up to **+56**), and `store_count_ph` itself is heavily right-skewed — the mean (**3,775**) sits well above the median (**3,316**), with a handful of quarters near **5,900+** stores against a 75th percentile of just **3,357**. That's a bigger jump than steady franchise buildout would produce. Before treating this as pure \"PH store network growth,\" it's worth spot-checking those high-value quarters against the original press releases — they may reflect a brand-portfolio-wide count (all JFC brands in PH) rather than Jollibee-brand stores specifically, which would explain why they briefly sit close to the *global* store count.", + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Q4: How much did the Philippine operations contribute to overall company revenue during the period?" + ], + "metadata": { + "id": "PJHtB4dGkOD_" + } + }, + { + "cell_type": "code", + "source": [ + "# Q4 — PH Revenue Contribution\n", + "\n", + "q4_df = pd.DataFrame({\n", + " 'Year': ['2021', '2022', '2023', '2024'],\n", + " 'PH Segment Revenue': [94301.17, 131580.48, 152457.06, 166546.84],\n", + " 'JFC Consolidated Revenue': [153575.59, 211902.22, 244107.35, 269942.33],\n", + "})\n", + "q4_df['International Revenue'] = q4_df['JFC Consolidated Revenue'] - q4_df['PH Segment Revenue']\n", + "q4_df['PH Revenue Share (%)'] = (q4_df['PH Segment Revenue'] / q4_df['JFC Consolidated Revenue'] * 100).round(2)\n", + "\n", + "# Summary stats\n", + "print(\"=== Q4: PH Revenue Share Descriptive Statistics ===\")\n", + "print(q4_df[['Year','PH Segment Revenue','JFC Consolidated Revenue','PH Revenue Share (%)']].to_string(index=False))\n", + "print()\n", + "print(f\"Mean Share: {q4_df['PH Revenue Share (%)'].mean():.2f}%\")\n", + "print(f\"Min Share: {q4_df['PH Revenue Share (%)'].min():.2f}%\")\n", + "print(f\"Max Share: {q4_df['PH Revenue Share (%)'].max():.2f}%\")" + ], + "metadata": { + "id": "NdZNpgkPXcge", + "colab": { + "base_uri": "https://localhost:8080/" }, + "outputId": "f9b13de1-7b69-4e20-fb8b-acb4f4332a3e" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Q4 — PH Revenue Contribution\n", - "\n", - "q4_df = pd.DataFrame({\n", - " 'Year': ['2021', '2022', '2023', '2024'],\n", - " 'PH Segment Revenue': [94301.17, 131580.48, 152457.06, 166546.84],\n", - " 'JFC Consolidated Revenue': [153575.59, 211902.22, 244107.35, 269942.33],\n", - "})\n", - "q4_df['International Revenue'] = q4_df['JFC Consolidated Revenue'] - q4_df['PH Segment Revenue']\n", - "q4_df['PH Revenue Share (%)'] = (q4_df['PH Segment Revenue'] / q4_df['JFC Consolidated Revenue'] * 100).round(2)\n", - "\n", - "# Summary stats\n", - "print(\"=== Q4: PH Revenue Share Descriptive Statistics ===\")\n", - "print(q4_df[['Year','PH Segment Revenue','JFC Consolidated Revenue','PH Revenue Share (%)']].to_string(index=False))\n", - "print()\n", - "print(f\"Mean Share: {q4_df['PH Revenue Share (%)'].mean():.2f}%\")\n", - "print(f\"Min Share: {q4_df['PH Revenue Share (%)'].min():.2f}%\")\n", - "print(f\"Max Share: {q4_df['PH Revenue Share (%)'].max():.2f}%\")" - ], - "metadata": { - "id": "NdZNpgkPXcge", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "f9b13de1-7b69-4e20-fb8b-acb4f4332a3e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "=== Q4: PH Revenue Share Descriptive Statistics ===\n", - "Year PH Segment Revenue JFC Consolidated Revenue PH Revenue Share (%)\n", - "2021 94301.17 153575.59 61.40\n", - "2022 131580.48 211902.22 62.09\n", - "2023 152457.06 244107.35 62.45\n", - "2024 166546.84 269942.33 61.70\n", - "\n", - "Mean Share: 61.91%\n", - "Min Share: 61.40%\n", - "Max Share: 62.45%\n" - ] - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Q4: PH Revenue Share Descriptive Statistics ===\n", + "Year PH Segment Revenue JFC Consolidated Revenue PH Revenue Share (%)\n", + "2021 94301.17 153575.59 61.40\n", + "2022 131580.48 211902.22 62.09\n", + "2023 152457.06 244107.35 62.45\n", + "2024 166546.84 269942.33 61.70\n", + "\n", + "Mean Share: 61.91%\n", + "Min Share: 61.40%\n", + "Max Share: 62.45%\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "fig.suptitle('Q4: Philippine Operations Contribution to JFC Revenue (2021–2024)',\n", + " fontsize=13, fontweight='bold')\n", + "\n", + "# Stacked bar — PH vs International\n", + "ax1 = axes[0]\n", + "ax1.bar(q4_df['Year'], q4_df['PH Segment Revenue'], label='Philippines', color='#1f77b4')\n", + "ax1.bar(q4_df['Year'], q4_df['International Revenue'],\n", + " bottom=q4_df['PH Segment Revenue'], label='International', color='#aec7e8')\n", + "ax1.set_title('PH vs International Revenue (PHP Millions)')\n", + "ax1.set_ylabel('Revenue (PHP Millions)')\n", + "ax1.legend()\n", + "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", + "\n", + "# Revenue share line chart\n", + "ax2 = axes[1]\n", + "ax2.plot(q4_df['Year'], q4_df['PH Revenue Share (%)'], marker='o', color='#1f77b4', linewidth=2)\n", + "ax2.set_title('PH Revenue Share (%)')\n", + "ax2.set_ylabel('Share (%)')\n", + "ax2.set_ylim(58, 66)\n", + "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", + "for x, y in zip(q4_df['Year'], q4_df['PH Revenue Share (%)']):\n", + " ax2.annotate(f'{y:.2f}%', (x, y), textcoords='offset points', xytext=(0, 8), ha='center')\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig('q4_revenue_share.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "cIKw7U6sXfmG", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 630 }, + "outputId": "fddc49d4-7395-44e7-d98f-567168b1f188" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "code", - "source": [ - "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", - "fig.suptitle('Q4: Philippine Operations Contribution to JFC Revenue (2021–2024)',\n", - " fontsize=13, fontweight='bold')\n", - "\n", - "# Stacked bar — PH vs International\n", - "ax1 = axes[0]\n", - "ax1.bar(q4_df['Year'], q4_df['PH Segment Revenue'], label='Philippines', color='#1f77b4')\n", - "ax1.bar(q4_df['Year'], q4_df['International Revenue'],\n", - " bottom=q4_df['PH Segment Revenue'], label='International', color='#aec7e8')\n", - "ax1.set_title('PH vs International Revenue (PHP Millions)')\n", - "ax1.set_ylabel('Revenue (PHP Millions)')\n", - "ax1.legend()\n", - "ax1.grid(axis='y', linestyle='--', alpha=0.5)\n", - "\n", - "# Revenue share line chart\n", - "ax2 = axes[1]\n", - "ax2.plot(q4_df['Year'], q4_df['PH Revenue Share (%)'], marker='o', color='#1f77b4', linewidth=2)\n", - "ax2.set_title('PH Revenue Share (%)')\n", - "ax2.set_ylabel('Share (%)')\n", - "ax2.set_ylim(58, 66)\n", - "ax2.grid(axis='y', linestyle='--', alpha=0.5)\n", - "for x, y in zip(q4_df['Year'], q4_df['PH Revenue Share (%)']):\n", - " ax2.annotate(f'{y:.2f}%', (x, y), textcoords='offset points', xytext=(0, 8), ha='center')\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('q4_revenue_share.png', dpi=150, bbox_inches='tight')\n", - "plt.show()" + "output_type": "display_data", + "data": { + "text/plain": [ + "
" ], - "metadata": { - "id": "cIKw7U6sXfmG", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 630 - }, - "outputId": "fddc49d4-7395-44e7-d98f-567168b1f188" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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2bdpI533Lli0adb558wYpKSlYsGAB9u3bh59//jnH0whER0fDxMSkQF6X6W3ZsgULFy6UHjs6Oqq1n9KlS2e6bWGf4/zGnd/2nRdHjx7VejOxy5cvA3g/jc/Nmzel8q1atSqwfQPAo0ePcOLECezYsQPfffedtLxTp05wdnaWHi9dulR6H7O1tcWvv/6K/fv348cff4RMJkNSUhK++uor6dL0Pn36SNuuXbtW+vv58+c4ePAgAMDU1BRdu3bNU/0ZPX36FPPmzUNYWJja+3X65zwvCuqzBlDvi+RkuiIAOHTokHTDQ319fbRt21Zal/4yf0dHR7Xt0j++e/dunvdRlG7duiW1e+D955pKQR1rVvsAgD/++AN//vknrKyssGLFCshkshzFrnp/BdT7FUREVDQMdB0AEdHHKuM8a/b29lrLOTg4qD1++/YtAODs2bOYPn069PX1sXr1apiammZ7x3dfX988JzRUypUrl2ndLVq00Lpu48aNUsL57Nmz0rxnqrl5C9OyZcukL2r16tWDm5sbkpOTERMTg3379qFjx44a22zevBlVq1YFAHh4eEhJdNWXIm0J6cxkd+wxMTHYunWrVH706NFSQuGbb77Bjh07kJKSguPHj+PmzZuoWLFipvtK36ZsbGygp6f999j0bSpjO1Tp0qULZs2aBeB9AurWrVv466+/AACbNm1Cjx49sHHjRimhVK1aNWnO21KlSiEwMBDTpk0D8P45SD9HpYqTkxMOHDigMW+ev78/Zs+ejV9//RX37t1DfHy8WrtNS0vD+fPn8emnn8LHxwd37tyR1qnmLs6JlStXSvVWr14dq1atAvB+vsCXL19izpw5AIAVK1Zg1KhRGtu3bdtWSpzUqlVLSk4+e/YM7969g5mZmZSwA963pSpVqkjJv8GDB+cozpiYGOlvGxubHG2zadMmxMfHAwDs7Oywbds26TwrlUp88803AN7P3blw4UJp7mKVqlWrYu3atZDJZGjTpg1WrlyJ+Ph4pKam4v79+6hevTp8fHxw4MABaRvVXLNZWbVqFT799FMAQMuWLXN0LCoF+bpUqV27tlpSVDWfcU4UxTnOT9z5bd+FIX1bBnLennNq+fLlaj8MGRoaYvjw4QgJCVErFxoaKv3dq1cv1KhRA8D7955du3bh0qVLePPmDTZt2oSvv/4avr6+cHd3x71793Dp0iXcuHEDlStXxsaNG5GamgoA6NatG0xNTfNUf0YTJ06UEs0JCQnSj1j5+cwsyM8a4P0PdSo5eR6vX7+O7t27S4+nTJkCNzc36XH6H05VPyRoe5zVjxjZ7SO33rx5o5aQTs/IyCjTH9ifPn2K9u3bS22jf//+aq/PgjjW7PZx//59DBs2DACwZMkSODk5ZVpXRtbW1tLfz58/z/F2RERUMJioJSLSkfQJHED9S096//33n9pj1WiLPn36IC0tDWPHjlW7aUpRMzc3R69evTB16lStozXMzMzURgWn/0IXHR1d6PGl/+JSunRpuLu7499//wXwfkRkRlZWVlIyCHifgDM2NkZCQoK0TU4TQjk59lu3bkk3iAKg9iUzo2vXrmX55Tl9m3r16hWUSqXWZG36NpWxHapkTPr4+PhIiVrVeYuIiFCLrXHjxpnGrU3btm01krQJCQlo1KiR2qg7bTIbiZYbqnYAaD9eVSLr1q1bEEJotO/mzZtLf2dMVERHR8PMzAxfffUVfv75Z8TFxWHEiBEYMWIETE1NUa1aNfj7++Pbb79V+1KsjaWlpfT3q1evcn1stWvXVjvP6Y/17du3iIyM1LgRkJ+fn3S8enp6sLKykpKSeX3dGhoaol27dnnatiBflwWlOJ7jzOLLS/vOC29vb/zyyy8ay1UjLtO3ZSDn7TmvkpKScPr0aSQnJ6uN3k7/3jV79mzMnj1b6/aq9y6ZTIbevXvjxx9/BPB+VO3UqVPVroxIP+o2t/VnlNl7S37aRUF+1mSU3Q/AR48eRYcOHaRE/ffff48ffvhBrUypUqWkv1U3FNP2WJUMz8s+cuvSpUuZ3nDM1dUVDx480Fh+7do1tGnTBk+ePAHw/jwvXrxYrUx+jzUn+xgyZAjevXuH7t27o1u3bpkcoXb5/UGfiIjyh1MfEBHpiKmpqdpIj0uXLmktFx4eLv0tk8mkS9JUHfTp06dLl5dmHO1arlw5jS/G+bV582YcP34cp06dwr///ovo6GgsWLAg0y8UGZNQBgb/9xthSf8yUNDHnt3l0KpRWwCQkpKidVqDpKQkteRA+m0KS2Zxa7usfPv27VKStlSpUli4cCEOHz6M48ePq40wVCqVhRNsLqR/ftM/t8D/Pb+VKlXC5cuX8cMPP6Bp06YoXbo0YmNjcebMGUyaNAn+/v5qyRNtatWqJf1969YtPH78uACPQrvCeN06ODgUSDIwK+nrV400U8nsxzBdKYnvjaoR7Rn/qRJTpUqVUksAph+RXRBCQkKQkpKCAwcOSJ99R44cwaBBg/JUX/r3rqCgIOmHr3Xr1uHu3bs4c+YMAKBKlSpo0KBBvupPL7P3lvTtojDbenafNcD7UeQqWSWQN27cCH9/f8TExEAmk2HOnDmYOXOmRjl3d3fpb9XUNipRUVHS3x4eHnneR2E7cuQIfHx8pP7ZsGHDsGbNGo3R9Pk51pzuQ7V+3bp1atOQpNesWTPIZDKNke7pn8/MrvYiIqLCw0QtEZEOpR/lEBYWhhs3bqitf/fundrcs61bt87V5WuFoXbt2vDx8UGDBg1QsWJFjS8Hxc3Jkyelv589e6Y2N5ynp6dG+devX6s9DxcvXpRG7WW2TX5UqFBB7RzevHkT4v3NPtX+xcbGZjt3YEBAgNpIHdXUA+ktWbJEbYqMzEbapD9vGR+rzkHlypWlZQ0bNtQatyp2bbQl7R49eiT93bp1awwZMgS+vr6oUaOG9MUzo/SjhnOTwK1UqZL0d1bHW6FChTwnGIUQ8PT0xPTp03HkyBFERkYiKipK+pEmPDxc68ju9L788kvpclilUokhQ4ZoJGYAIDExUZoGIv2xXbhwQZpHOOOxmZubZzkPa3Zyc+7zk6TN6evSyspKWpa+vdy+fTvTUdoF0X4K8xxnJru4i6J950VwcLD094EDB7B582at5W7fvo3k5ORc129gYIDmzZvjp59+kpatWbNGba7n9O9dS5cu1fq+lZSUhP/9739SOWdnZ/j7+wN4f1n5t99+K61LP5o2r/XnVvq2/vTpU+nvmJgYnDhxQqN8QX7WAFD74Syz19bcuXPx5ZdfIikpCUZGRti4cSNGjBihtayfn5/096lTp6Q2rVQq1dpr+nK53UduqaaL0vYv42ja9evXw9/fH2/evIGenh4WLFiA+fPna31tpT+GixcvSiPpAeDYsWOZHmtu9pEf6Z/PrKZgISKiwsGpD4iIdGjUqFFYu3Ytnjx5grS0NPj5+eGHH35A9erV8eTJE8yZM0dKNpQqVQrTp0+Xtp0xY4bGJXPR0dGYMmWK9Hj8+PFqCYIjR45Il/FldtleSdO/f39MmzYNFhYWmDVrlvTF39LSMtMb2Xz++efSnIYTJkyQlpcvX77AL6+2tLREp06dpGRF27ZtMWrUKHh6eiImJgYPHz7EsWPH8O+//6pdyqyNjY0NQkJCpJu8bd26FZ06dUJwcDCMjY2xd+9etRtdBQQEZHoOtmzZIo0CPXTokDTtAQDphjndunXD2LFjERsbi1OnTqFLly7o3r07LCws8PTpU9y8eRO7d+9Ghw4dNOaIzEz6kUYHDx7E6tWrYWFhgTlz5mQ63UH6S4OvXr2Kbdu2wd7eHpaWlmo34smoZ8+eWLBgAYQQuHr1Knr16oWuXbvi2rVrajftSZ9Yyq25c+fi77//RkBAAFxdXWFtbY3bt2+rjXhLn+DTxtXVFSEhIRg3bhyA9z/qNGzYEF9//TXc3d0RGxuLc+fOYcWKFRgxYgSGDRuGrl274ocffkB8fDyeP3+OLl26YMCAAXjy5IlUDwAEBgZqjAbOjfTn/vjx49i1axcsLCzg6OhY4D9q5OR1mf4mOMeOHcPw4cPh4uKChQsXZjpyOf0xREZGYtWqVXB3d4exsbHaaOaMiuocZya7uIuifefF0KFDsWHDBmnE/5dffol9+/ahXbt2MDc3x9OnT7Fnzx5s3rwZ//33n8YcnjnVq1cvzJgxQ7pp5+TJkxEWFgbgfWL14sWLAIARI0bgxYsXqFOnDpKTk/H48WOEh4djx44dOH/+vNqVL3369MHff/8N4P2N2ID3N2786quv1Pad1/pzI31bf/DgAYKDg1G7dm2EhoZKc9mnV5CfNcD7JKbqc+HcuXMaScVRo0ZJ02vo6ekhJCQEpUuXVksiOzg4SNNiBAYGYtKkSXj16hVu376N4OBgdO3aFRs2bJB+YLW1tZXmQs/LPoD3iVHVD4Lpfxh89OgR/vzzTwDvf+RI/0NHdhYtWoRvv/1WGvE8dOhQ1KpVSy0OCwsLKenZpk0blC9fHrdv38a7d+/QpUsXDBw4EIcOHcLRo0cBvJ8Dd8CAAXnex6hRo7SOrE5/k73BgwfD09MTxsbGamXOnTsH4P2Pa02aNMnxeSAiogIiiIhIp65fvy48PT0FgEz/2djYiN27d2db1/3799W2u3//vtr6w4cPS+tcXV1zFF/6bbTVmd02GfcTEhIirQsKCsp2+fLly6XlTZs2zXYfGc9BzZo1Nc6nTCYTq1at0lqXtbW1cHV11dhGLpeLgwcP5jmurI7x+fPnolq1alm2gZw+X0IIMWbMGCGTybKsr3Xr1uLNmzdq2zVt2jTL8wZAtGzZUqSlpUnbbNu2TRgZGWW5r5CQEKl8UFCQ1uUqcXFxwt3dXaMOR0dHUalSJenx8uXLpW2io6OFiYmJxjbNmzcXQmi2ifRmz56d5blq27atSE5O1nqO0scghND6OpkxY0aW56ZmzZpq5zMrU6ZMEfr6+lnWN3/+fKn8+vXrhVwuz7RsrVq11NpAVs9N+tfE4cOHpeURERFCT09Po+4+ffoIIXL2npOT15KFhYVwdHTM9nWZmpqq1k7Sb1+2bFmtz11qaqpwdnbW2MbDwyPL57aoznFmchJ3btt3ZrL6HEh/TOmfv6xERUWJJk2aZNmWAYjXr19nW1f685bxnP7222/SOplMJi5fviyEECItLU18+eWX2e4/4+ddcnKysLOzUyvTuXNnjZjyUn9my7N6DbVs2VKjToVCISpUqKD1nBTkZ83Dhw+l176Pj4/Gem2foxn/pf8cFEKIv/76SygUCq1lDQ0Nxd9//53vfaRvr5n90/bZlJX0nwuZ/cv42jh//rywsLDQWlYmk4nQ0NB870Ob9OW1vc/cvn1bWt+yZctcnQciIioYnPqAiEjHqlSpgitXruDXX39FixYtYGdnpzb6ysbGBhEREWjTpo0Oo/xwHT58GIMHD4ajoyMMDQ3xySefYOvWrRojoFTMzMxw6tQpBAYGwtraGkZGRtLd7TOOGCoodnZ2OHfuHObMmYP69evDwsICcrkcZcqUQf369TFu3Di1u3VnZ8aMGQgPD0ffvn1Rvnx5mJiYQKFQwMnJCR07dsT27duxe/dumJubZ1rHt99+i5UrV6JGjRowNDREmTJlMHLkSISFhaldct2xY0dcunQJ/fv3h6enJ4yMjFCqVCl4enqiXbt2+O2333I1P6SJiQkOHTqEjh07wtraGhYWFmjfvj1OnDgBBwcHrdtYWVlh27ZtqF27ttoNg3Ji5MiROHz4MDp16gRHR0cYGBjAwsICjRo1wtKlS7Fz507I5fJc1Zle69at8c033+CTTz6Bvb09DAwMYGxsjCpVqmDUqFE4ePCg1hu+afPjjz8iIiICw4YNg5eXF8zNzaFQKFC2bFn4+vpiwYIFCAwMlMp/8cUXOHfuHAIDA1G2bFnI5XKYmpqiVq1a+Omnn3DixIks20BOVK5cGatWrULVqlXzdZ6yY2lpidOnT6Nr166wsrLK9HWpr6+PsLAwtG7dGiYmJjAzM8Nnn32GM2fOqI3WTk9fXx/bt29HkyZNYGJikqu4iuIcZyYncRdU+844QjO35ykjR0dHHD58GNu3b0eXLl3g4uICIyMjmJqaomLFiujevTvCwsIyvdlhTvXq1QvOzs4AACEEJk+eDOD96Mt169Zh06ZNaN26tfS5a2trixo1amDAgAHYvXu3xg3gMhs9m1Fe68+tVatWoWvXrjA3N4eJiQmaN2+OY8eOZTpfbkF+1ri4uCAgIADA+6k00o9OzauAgACcP38e3bp1g6OjI+RyORwdHfHFF1/g/PnzaN26db73UVzUrl0bly5dQp8+feDs7Ay5XA4bGxt8+umnOHr0KHr37q2TuNavXy/9PXDgQJ3EQET0sZMJ8YHerYCIqIQbNGgQlixZAgD4+uuv8dtvv+k4og/DgwcP1G6qlpOPuY9xSghtfH19pcsuly9fXuSXRBNR8dS3b1+EhoYCeP9j1uvXr4v9/ORU+MLDw1G3bl0IITB69GjMmjVL1yFRPiQnJ8PDwwNPnjyBt7c3Lly4kOMfEomIqODwnZeIqJj65ZdfpNEjS5cuVZufloiIqLCNHTsWzZo1k5K0ANC+fXsmaQnA+1GhqjljlyxZgpiYGN0GRPmyevVq6b4Ic+bMYZKWiEhHeDMxIqJiSl9fH5s2bcKCBQuQlpaGlJQUREdHw9raWtehERHRR2Dx4sV48+aN9NjFxYWjJknN6tWrsXr1al2HQQWgT58+WqfyICKiosVELRFRMWZmZobx48frOgwiIvoIyWQymJiYwMPDAwEBARg5ciRsbGx0HRYRERFRicU5aomIiIiIiIiIiIh0jBPPEBEREREREREREekYE7VEREREREREREREOsZELREREREREREREZGOMVFLREREREREREREpGNM1BIRERERERERERHpGBO1RERERERERERERDrGRC0RERERERERERGRjjFRS0RERERERERERKRjTNQSERERERERERER6RgTtUREREREREREREQ6xkQtERERERERERERkY4xUUtERERERERERESkY0zUEhEREREREREREekYE7VEREREREREREREOsZELREREREREREREZGOMVFLREREREREREREpGNM1BIRERERERERERHpGBO1RERERERERERERDrGRC0RUTZkMhl8fX11HUa2Hjx4AJlMhuDgYF2HQjmQnJyM8uXLo23btroOpdgIDg6GTCbDgwcPpGWZtevclC1Otm3bBplMhoMHD+o6FCIiIsqBD+W7QG41bdoU1atXh1KpLJT62echyhsmaumjIpPJ1P7p6+vD1tYWfn5+WLduXabls+Lm5qaRLChuCirGI0eOQCaTYeLEiQUSV3Hh5uYGNzc3XYdR5FRJrfT/DAwMYG9vj9atWyMsLEzXIZZoCxcuxJ07dzB16lS15StWrNB4XgwNDVGuXDkEBwcjIiJCa/mskpOq127GLxmq5en/KRQKODs74/PPP8fp06dzfDyq9xmZTIZDhw5lWq5Xr15SuZL2XpITHTt2xCeffILhw4cX2hcjIiLKWnH4TjBx4kSNOIyMjODp6Yn+/fsX6+8WH7rz58+jR48ecHV1haGhIczNzeHh4YFPP/0UP/30E+Li4nQdYqHbsmULjh07hkmTJkFP7//SQsnJyfjxxx9Rrlw5WFhYoFmzZrh48aLWOg4cOACZTIa//vpL63r2eYjyxkDXARDpQkhICAAgJSUF//77L8LCwnD48GGEh4dj3rx5Oo6OipsbN27AxMRE12EUGgsLCwwbNgwAkJSUhOvXr+Ovv/7C3r17MXv2bIwcOVK3AZZAcXFxmDZtGlq2bIlPPvlEaxkvLy906NABAPDmzRscOXIEK1euxKZNm3Do0CHUr1+/wOJxdXWVEr1xcXE4c+YMtmzZgm3btmHLli3o2LFjjusyMDDA77//Dj8/P411b9++xaZNm2BgYIDU1FSN9TNmzMCYMWPg5OSUp+NwcnLCjRs3YGFhkafti4JMJsP333+Pbt26YcOGDejevbuuQyIi+mgVh+8ETZs2lX5IffXqFQ4dOoRly5Zhy5YtOHv2LMqXL18kcXws1qxZg6CgIAgh4Ofnh44dO8LY2BgPHz7EiRMn8Ndff6FTp07w9PTUdaiFRgiBcePGoUKFChp9vDFjxmD+/Pno3LkznJ2dsXr1ajRr1gz//vsvSpcuLZWLjY1Fv3790KNHD7Rr107rftjnIcojQfQRASC0NfsDBw4ImUwmZDKZuH//frbl03N1dRUA1LYrbgoqxsOHDwsAIiQkpEDiKi5cXV2Fq6urrsPIt/v37wsAIigoKFfltR37+vXrBQBhYmIi4uLiCjZQEv/73/8EALF27VqNdcuXL9f6PCqVShEUFCQACF9f32zLp6d67TZt2jRHy4UQYsKECQKAKFeuXI6OSfU+06FDB2FoaChevnypUWbx4sUCgOjYsWOO30sya9eqc1Gc33szk5CQICwtLUWjRo10HQoR0UepOHwnCAkJ0fpZmJaWJtq2bSsAiODg4BzVRTkTFxcnzM3Nhb6+vjhw4IDWMidPnhSvX79WW5ZZX+lDtW/fPgFATJs2TW25UqkUJiYmolevXtKyI0eOCABi1qxZamUHDx4sHBwctPb30mOfhyj3OPUBEYDmzZujUqVKEELg/Pnzhbaf1q1bQyaT4cqVK1rXb9y4ETKZTG0E471799C/f394enrC2NgY1tbWqF69OgYMGIBXr17lKx7VpdAvX75E//79Ubp0aRgaGqJq1apYvny5Wtng4GA0a9YMADBp0iS1y7SOHDmiVnb9+vVo1qwZLC0tYWRkhMqVK2Pq1KlISkrKNIZnz56hb9++cHJygr6+PlasWJHrGIH3l+ssWrQIbdu2lS5nsra2RosWLfD333+rlVVd9v3w4UM8fPhQ7ZjSX0ae2bxUb968wQ8//ICKFSvCyMgIVlZW8Pf3x4EDBzTKpp824vLlywgICIClpSVMTEzQtGlTnDp1SmObyMhITJ48GY0aNYKjoyMUCgXKlCmD7t27a1z+XtC6deuGUqVKIT4+Xuu+9u7di7Zt28LW1haGhobw8PDAqFGjEBMTI5VJTEyEpaUl7O3ttY6eBICBAwdqvWTq33//RXBwMMqWLQuFQgEHBwd0794dN2/e1Kgj/VylS5cuRfXq1WFkZAQHBwf0798fb9680dgmq7nGtM19qnL27Fl06dJFej7Kli2Lr7/+GpGRkVrrykxoaCgUCoU0YjYnZDIZBg0aBAA4d+5crvaXF4MHDwYA3L9/Hy9evMjxdv369UNSUhJWr16tsW7ZsmUoW7YsWrdurXXbrM59TmQ1R21UVBQGDx4MNzc3KBQK2NnZoVOnTrhw4YJGWdV0EitWrMDhw4fh6+sLMzMzmJubIyAgADdu3NDY5r///sPIkSNRsWJFlCpVCpaWlqhYsSKCg4Nx7949tbJGRkbo0KEDTp48iX///TdPx0pERAWvqL4TZEVPT0/6HNMWQ3x8PGbMmAFvb2+UKlUKpqamaNCgAdavX69WbsOGDZDJZPjuu++07icpKQlWVlYoXbq0Rj8tL335nPbV03/GapNZHy01NRWLFy9G/fr1YW5uDhMTE9SsWROLFi3K8WX1165dw9u3b1GtWjU0b95ca5mGDRvC0tJS67rC+D6iopqK7e3btxg+fDjc3Nwgl8vVponKTf84K6GhoQDe9/fTe/HiBeLj41G3bl1pmervhw8fSsuOHz+OxYsXY9GiRbCxsclyX+zzEOUepz4g+v+EEACQ7fxT+REUFIS9e/di1apVmDt3rsb6lStXAoDUOYuKikKdOnXw9u1btG3bFp07d0ZiYiLu37+P1atX45tvvsn2wzE7MTExaNSoERQKBbp06YKkpCRs3rwZvXv3hp6eHoKCggBASiitXLlS7RItAGrzu/bu3RvLly+Hs7MzOnfuDEtLS5w5cwbjx4/HwYMHsX//fhgYqL/1REdHo379+jA1NUWnTp2gp6cHBweHXMeoqmvo0KFo2LAhWrZsCTs7O0RFRWHnzp1o27Ytli1bhr59+0pxh4SEYMGCBQAgXf4PAN7e3jk6bxEREahTpw6GDRuGly9fYtOmTWjVqhWWLFmCr7/+WmO78PBw/PTTT2jQoAH69u2LR48eYevWrWjevDkuX76MihUrSmWPHTuGmTNnolmzZujcuTNMTU1x+/ZtbNmyBTt27MDJkyfh5eWVZZwFQS6Xqz2eNGkSJk6cCGtra7Rr1w729va4evUq5syZg927d+P06dMwNzeHkZERunXrhv/973/4+++/8emnn6rVk5SUhI0bN8LBwUEtcbdnzx506tQJKSkp+PTTT+Hp6YknT55g27Zt2LVrFw4fPqx1uoDRo0dj7969+PTTT9GqVSscPnwYy5Ytw507d7KcMzWn/vjjD/Tv3x+GhoZo3749ypYti9u3b+P333/Hzp07cebMGbi4uGRbz5s3bxAeHo46derkekqNonifyriv3O6vZcuWcHNzw++//672mrpw4QIuXbqEkJAQtbnQisL9+/fh4+ODyMhI+Pn54csvv8Tjx4+xefNm7Nq1C1u3btV62d5ff/2FsLAwtGnTBgMGDEBERAR2796N8+fPIyIiAra2tgDef2lu1KgR7t69i5YtW+LTTz+FEAIPHz5EWFgYunTpAnd3d7W6GzVqhBUrVuDAgQOoVKlSkZwHIiLKXlF+1mYnYx8sJiYGfn5+uHTpEj755BP07t0bSqUSe/fuRffu3XH9+nVp7vsOHTrAwsIC69atw+zZszX632FhYYiJicGIESPU1uWlL5+bvnpeqPqEe/fuRcWKFdG9e3cYGRnh8OHDGDJkCM6ePav1B+KMVN+bIiMjERcXh1KlSuU4hsL6PpJecnIy/Pz8EB0djVatWsHc3BzlypUDkPf+cUZCCBw6dAiOjo7w8PBQW2drawtjY2O1H7HDw8MBvJ8mCwASEhLQp08fdOrUCV26dMnRuWOfhyiXdDeYl6joIZPLlvbv3y9d5vTgwQON8iEhIZn+s7CwyPFlTgkJCcLCwkI4ODiIlJQUtXVRUVFCX19ffPLJJ9KyhQsXCgBiwYIFGnXFxsaK+Pj4HB13ZpdiqY6vT58+IjU1VVp+/fp1oa+vLypXrqxWPrupD1SXYHfs2FEjNtXlXRmPRRXDV199pXFO8hJjYmKiePz4sUY9MTExomrVqsLKykojtuymPoCWy5369+8vAIj+/fsLpVIpLb9165YwNzcXCoVC7Xyrzh0AsXz5crW6fvvtNwFADBw4UG35f//9J96+fasRz+XLl0WpUqVE69at1ZYX5NQHq1evFgCEnZ2dSEhIkJYfOnRIABANGjTQuCxM9fwPGzZMWnbq1CkBQHTu3FljH5s2bRIAxPDhw6Vl0dHRwtLSUtjY2Ijr16+rlf/nn39EqVKlRM2aNdWWqy6BL1u2rHj48KG0PCUlRTRu3FgAEGfPnlXbRttzmrG+9M/fzZs3hVwuFx4eHuLJkydq5Q8cOCD09PREhw4dtNaX0d9//y0AiG+++Ubr+qymPujZs6cAIPz8/DTKe3l5Zfo+pTqm3Ex9MH78eAFAuLu75+i4VO8zKSkpYsqUKQKAOHXqlLT+66+/Fnp6euLhw4di2bJlWt9LtJ373Ex9kFnZVq1aCQBi6tSpastPnjwp9PX1hbW1tXj37p20XHVOtV0aOWbMGI1LAHfs2KHR9lWSkpIyfR0DEJ9//rnGOiIiKly6/k4gROZTH6Smpgp/f3+tfQXVZ1/Gy9ATEhKEv7+/kMlk4tKlS9JyVX91586dGvtXTa9w9epVaVl++vI57aur9pGxP5y+voz9EtW+v/nmG7V9pKamit69ewsA4s8//9RaX3pKpVLUqVNH6jctWrRIXLx4USQlJWW5XVF9HwEgmjdvLmJjY9XW5aV/nJkbN24IAKJdu3Za1w8dOlTIZDLx+eefi2HDhgkbGxthbm4u9X9HjBghrK2txbNnz3K0PyHY5yHKLSZq6aOSsZM1duxY0blzZ6Gvry8AiO+++05r+Zz8y2mnrF+/fgKA+Ouvv9SWz549WwAQP//8s7RMlahdunRpvo47q0StiYmJePPmjcY2TZo0EQDUkhfZJWq9vb2FgYGBRgJPiPcdKRsbG1GnTh2NGBQKhfjvv/+01pnbGLMyd+5cAUAcPXpUbXluE7VJSUnCxMREmJqailevXmmU//HHHwUAMWnSJGmZ6txpm58pOTlZGBgYiFq1auXoOIQQ4tNPPxWGhoYiOTlZWpbXRK2FhYX0mhgzZoxo166dkMlkQqFQiG3btqlt06FDBwFAXLt2TWud3t7ews7OTm1ZhQoVhEKh0DhXAQEBAoC4cuWKtGzBggUCgFi0aJHW+ocNGyYAqHVSVV9ali1bplH+jz/+EADEL7/8orY8t4la1X4zvm5VOnToIPT19bUm5DJaunSpgJZ5wVS0JV6HDRsmvL29BQBhbGwsTp8+rVE+J/8yS9S6urpK+xo5cqSU4NbT09NoA5lJn6h98uSJ0NfXl+Y4i42NFWZmZqJNmzZCCFGkidrHjx8LAMLFxUXt9aISGBgoAIiVK1dqnNMePXpolL93757Gjw+qRO0PP/yQ3WmSPHv2TAAQ9erVy/E2RERUMIrDdwJV8rFp06ZSHEOGDBGVKlUSAESVKlXU+scvX74U+vr6onbt2lrrUyXDRo0aJS07efKkACC6dOmiVlY1QCRjci+vffnc9NVzm6hNS0sT1tbWwtHRUeugjtevX0uJxZx4+PCh8PX1VXvO5HK5qFu3rpg5c6bW4yiq7yMAxOXLlzW2yUv/ODN79+4VAES/fv20rk9MTBRjxowRrq6uwszMTDRp0kScO3dOCCHE2bNnhb6+vli9erVIS0sTISEhwtHRURpsdOLECa11ss9DlDuc+oA+SpMmTQLw/pImS0tLNG7cGH369EFgYKDW8iLdJcAZubm5qc3Zk53g4GAsW7YMK1euREBAgLR85cqVkMvlanfDbN++PcaOHYvBgwdj79698Pf3R6NGjVClSpUCuxyrfPnyMDc311hetmxZAMDr169hamqabT3x8fG4cuUKbG1tpakEMjI0NNQ6t6Obmxvs7e0LLMbr169j9uzZOHbsGKKiopCYmKi23dOnT7M9nqzcvHlTutTZ2tpaY72fnx+mTp2KS5cuaayrXbu2xjK5XA4HBwe8fv1aY92uXbvw22+/ITw8HC9fvtSYQ+zly5dqd2DNizdv3kivCRVDQ0OEhYXB399fbfnp06chl8uxefNmbN68WaOu5ORkvHjxAq9evZIuLwsKCsK4ceOwYcMGaY7V//77D3v37kXNmjVRo0YNtfoB4MqVK2pzcqncunULAHDjxg1UqVJFbZ22c5u+jeSHKq6jR49qnS/u+fPnSEtLw61bt1CrVq0s61LNLW1lZZVluStXrkjzWcvlcpQuXRpfffUVxowZo3HswPvznNl8b0eOHJHmmNbm4cOHUhswMDCQ5m8dMWIEGjZsmGWc2jg5OaFt27bYtGkTfv75Z2zatAnv3r1Dv379cl1Xfqleh40bN9a4hBR4/3pds2YNLl26hJ49e6qty2mbatq0KZycnDBz5kxcvHgRbdu2RaNGjeDt7Q19fX2tcaneO16+fJm3AyMionzT5XcClaNHj+Lo0aNqy7y9vXHkyBFYWFhIy86fP4+0tDTpngcZpaSkAIBaX7thw4aoUKECdu7cidevX0t9j7Vr1yItLU1tTvf89OUL6vuENrdu3UJ0dDTKly8vTeuQkbGxsda4tHFxccHhw4dx48YN7N+/H+Hh4Th37pz0b/HixThy5Ig05YBKUXwfMTIyUusXq+Snf5xRdv1QQ0NDzJgxAzNmzFBbnpycjF69eqF169YIDAzEggULMGnSJISEhKBRo0aYNm0aWrdujTt37qhNYQewz0OUW0zU0kcpq05WYVN1mHbs2CF1mC5evIhr166hQ4cO0pyHwPu5gM6dO4eJEydiz5492LZtG4D3HYKRI0fi22+/zXc8mU2Wr5p7Ki0tLUf1vH79GkIIvHjxQiPplx1HR8cCi/HMmTPw8/NDamoqmjdvjvbt28Pc3Bx6enq4fPkywsLCtN4IITdUN6fKLEGqWp7+xloqWR1LxnP9888/Y9iwYbCyskLLli3h4uICExMTyGQy/Pnnn7hy5Uq+jwV4385UN296+/Yt9u/fj759+6Jr1644ffq0Wofv1atXSE1NzfY5jo2NlRK1PXv2xPjx47Fy5UopUbt27VqkpqZqzFmm6jwuW7Ys2/oz0nZuc9uOM6OKa/bs2bmOKyNjY2MA0OiwZ5RV4rWgNW3aVOOmgPnVr18/7Ny5E+vWrcPy5cvh6OioMU9xUSjo16u2NmVubo4zZ84gJCQEO3bswN69ewG8n+tt0KBB+PHHHzWSxAkJCQD+rz0QEVHR0+V3ApWQkBBMnDgRSqUST58+xZw5c7Bw4UJ07doVf//9tzSvu6ovcv78+SxvdJaxL5L+B/OBAwcC0D5AJD99+YL6PqGN6rhv376dZVw56YOlV7lyZVSuXFl6/O+//6J37944ffo0vvvuO/z5559q5Yvi+4i9vb3WwTj56R9nlNN+aEaTJ0/G06dPsW/fPgDv+8TNmzeXEscVK1aEm5sbfv31V0yePFltW/Z5iHKHiVoiHejZsyd+/PFHbNy4EQMGDJBuIqZtov3KlStj48aNSE1NxZUrV3DgwAH88ssvGDp0KEqVKoU+ffoUdfhaqX7xr1mzJi5evJirbQvyZg1Tp05FQkKCdKf29GbMmIGwsLB870N1rM+ePdO6PioqSq1cXqSmpmLixIlwdHTExYsXNZJMql/WC5q5uTk6d+4MIyMjtGvXDj179sT58+el58jCwgJKpRLR0dE5rtPZ2Rl+fn44cOAA/v33X1SqVEnrFwRV/cD7EQPaRhQUFJlMpjE6WUVbwk4V15s3b7SOpsgN1ehxVae7pGrbti2cnJwwdepUPHnyBD/88IPGzUeKQlG8XoH37Tw0NBRCCERERODQoUPSlxWlUokpU6aolVc9/1ldTUBERB8PPT09lC1bFj///DMiIyOxZcsWLFq0SBqYofqc+u677zBv3rwc1/vVV19JP5gPHDgQly5dwj///IPPPvtMbYBIfvryuaFKPGvrh2XVB+vYsaM0aKUwVKpUCatXr4anp2e+b0Kb1+8jmX0nKsj+cV76oZcvX8asWbOwZMkSODk54e3bt4iMjESPHj2kMi4uLrC1tcX169c1tmefhyh3iva2y0QE4H2iVk9PDytXrkRKSgrWr18PW1tbtakQMjIwMECtWrXw/fffY/369QCg8UtvYVNdwqvtV3FTU1NUrVoV169fz1USr6DduXMH1tbWGp0iABqXlano6+vn6pf+ihUrwsTEBFeuXNHaoTx8+DAA5OjOq5l5+fIlYmJi0LBhQ40kbWxsbKF2oAEgICAArVu3xoULF7Bu3Tppef369fH69WutnbCsqC6tW7lyJS5fvoyrV6+iTZs2sLOzUytXv359AMDx48fzdwDZsLKywuPHjzWWp6Wl4fLlyxrLCzIuVQf733//zXddxZm+vj569+6NJ0+eQCaTab27cVGoWbMmAODEiRNavxQWxOs1PZlMhqpVq2LIkCHYv38/AO3v1arn39vbu0D2S0REJcfcuXNhaGiIyZMn4+3btwCAunXrQk9PL9d9kbJly8LPzw9nz57FzZs3Mx0gUlR9edUl99r6YeHh4RrLKlWqBEtLS5w5c0aa3qGwmJmZAcj/SOu8fB/JSkH2Q6tWrQp9ff0c90NTU1PRq1cv+Pr6avTlMo4KzmyULvs8RLnDRC2RDqg6TGfOnMHPP/+MFy9eoHv37hqXxl64cEG6bDe9//77DwBgYmJSJPGqqC5lf/Tokdb1w4cPR3JyMnr37q01gfn69etCTzC6ubkhOjoaV69eVVseGhoqXY6ckY2NDV68eCFdlpMdhUKBHj164N27dxg/frzaurt372LhwoWQy+X46quv8nYQeP+Ls4mJCS5cuKB2GVNKSgqGDh1aJHM8qUYAhoSESAmu7777DsD7y9ojIyM1tomLi8OZM2c0lnfq1Anm5uZYs2aNdDl/+nnRVHr16gVLS0tMmjQJ586d01ivVCoL5BL9unXr4tGjR9LlWypTp07VOr/cN998A7lcju+++06aByy95OTkHHeeq1atCjs7O63nqaT59ttvsX37duzduxfu7u46icHZ2RktW7bEgwcPNObcO3v2LNatWwcrKyt07Ngxz/u4fv269L6cXlbv1arnP6u5g4mI6OPk4uKCfv364dWrV5g7dy6A933DHj16IDw8HFOmTNE6yODu3bu4f/++xnJVnys0NFQaINKuXTuNckXRl69duzb09PSwbt06xMfHS8ujo6MxevRojfIGBgYYMmQIoqKi8O2332rtr0dFRSEiIiLbfd+/fx8LFy7U+v1KCIFp06YBAJo0aZKbQ9KQl+8jWSnI/rGFhQW8vb1x9erVHH33mTlzJu7cuaM27YK5uTmcnJywZ88e6TvC0aNH8e7dO1StWlWjDvZ5iHKHUx8Q6UhQUBAOHDiAsWPHSo8zWr16NZYuXQofHx94eHjAysoKd+/exc6dO2FoaIhhw4YVacwVK1aEk5MTNmzYALlcDldXV8hkMnz11VdwdXVF7969ceHCBSxevBgeHh7w9/eHi4sLoqOjcf/+fRw7dgy9evXCb7/9VmgxDhs2DHv37oWPjw+6du0KCwsLhIeH48SJE+jSpQu2bNmisU3z5s1x/vx5tG7dGk2aNIGhoSG8vLyynE9z5syZOH78OBYtWoTz58+jWbNmePnypXTTpEWLFmnchCA39PT08O2332LmzJmoXr06PvvsMyQnJ+Pw4cOIjo5Gs2bNpJGAhaV27dr47LPPEBYWhtDQUHz99ddo3rw5Zs6ciR9++AHly5dH27ZtUa5cOcTGxuLhw4c4evQofHx8sGfPHrW6jI2N8fnnnyM0NBSLFy+GjY2N1hHkNjY22LJlCzp27Ij69eujefPmqFq1KmQyGR4/fozTp0/j1atXuZ5XK6ORI0di7969+Oyzz9CtWzdYW1vj1KlTuH//Pnx9fTU6u5UqVcIff/yB3r17o2rVqmjdujUqVKiAlJQUPHr0CMePH4ednV2ORifIZDJ07NgR//vf/3D9+nWtHdqSwtbWFh06dNB1GPjtt9/QqFEjjBo1Cvv27UPt2rXx+PFjbN68GXp6eli+fLk0iiYv9u/fj1GjRqFBgwaoUKEC7O3t8eTJE4SFhUFPTw+jRo3S2Gbfvn2wtLSEn59ffg6NiIhKqLFjxyI0NBTz58/HkCFDYGtri0WLFuH27duYMGECVq9eDR8fHzg4OCAyMhI3btzA+fPnsX79eo0+aMeOHWFubo4FCxYgJSUFQ4YM0XqDzaLoy5cuXRo9evTA6tWr4e3tjYCAALx9+xa7d+9GkyZNtN6Md/z48bhy5Qp+++037Ny5E35+fnBycsLz589x+/ZtnDx5EtOmTcv2Rlpv3rzB0KFDMWrUKDRq1AjVqlWDmZkZnj9/jkOHDuHevXuwt7eXkuN5lZfvI1kp6P5x586dceHCBRw6dCjLKzojIiIwZcoUzJ07F25ubmrrRo8ejaFDh6Jx48aoV68e1q5dC1NTUwwePFijHvZ5iHJJEH1EAIjcNPuclHd1dRUAxP3793MVS1xcnDA3NxcARLVq1bSWOXPmjBgwYICoUaOGsLKyEkZGRsLDw0MEBweLf/75J8f7yixGAKJp06ZatwkKCtK6zblz54Sfn58wNzcXMplMABCHDx9WK7Nz504REBAg7OzshFwuFw4ODqJOnTpi3Lhx4saNGzmOIa8x7ty5U9SrV0+YmpoKCwsL0bJlS3H06FGxfPlyAUAsX75crXxsbKwYMGCAcHJyEvr6+gKACAoKyjaG169fi9GjRwtPT0+hUCiEhYWFaNGihdi7d69G2cOHDwsAIiQkROuxuLq6CldXV7VlKSkpYu7cuaJy5crCyMhIODg4iMDAQPHgwQOtx37//n2N2LOiKp9xv+ldvnxZyGQy4eTkJBISEqTlx48fF59//rkoXbq0kMvlwtbWVnh5eYnvvvtOnD9/Xmtdx48fl15T33zzTbaxDR48WHh6egpDQ0NhZmYmKlasKAIDA8X27dvVymbWDoTI+ryHhYWJWrVqCUNDQ2FtbS26deuW6blVuXr1qggKChIuLi5CoVAIKysrUbVqVdG/f39x8ODBLI8pvcuXLwsAYvTo0RrrVO00p89jTsqrzkPGdpzZ8rxQvc+kpKRkW3bZsmVan5fctOvcvgaePHkiBgwYIFxcXIRcLhc2Njbis88+E+fOndMom9l7hUrGcxYRESG+++47UatWLWFraysUCoVwdXUVnTt3FidPntTY/ubNmwKAGDp0qNb6iYiocBWH7wQhISFZ9g2FEGL48OECgBg+fLi0LCkpSfzyyy+iQYMGwtzcXCgUClG2bFnh5+cn5s+fL16+fKm1rj59+kjHER4enmVsBdWXz6xPlZiYKEaOHCmcnJyEXC4XHh4eYvr06SIlJSXT+pRKpVi1apXw8/MTVlZWQi6XizJlyohGjRqJadOmiUePHmV5TKr9bt++XQwcOFDUrFlT2NvbCwMDA2Fubi4++eQTMW7cOPH8+XON7Yri+4i27wIZ5aZ/nJX//vtPKBQK0bVr10zLpKaminr16onGjRsLpVKpsV6pVIopU6YIJycnoVAoRJ06dcSJEyc0yrHPQ5R7MiGKwa0uiYiIPjL+/v64evUq7t27x7vgfmRGjBiBRYsW4caNGzqbEoKIiIg+Xl9//TVWrlyJBw8ewNHRsdD2wz4PUe5xjloiIiIdmDNnDl68eIHFixfrOhQqQlFRUViyZAmGDBnCLyxERESkE5MnT4ZCoZDm5S0M7PMQ5Q3nqCUiItKB6tWr448//sC7d+90HQoVoQcPHuD777/H0KFDdR0KERERfaQcHBywZs0aXL9+HUqlEnp6BT+Gj30eorzh1AdERERERMVIdHQ01qxZg8uXLyMpKQmOjo4YNGgQPDw8pDJPnjzB2rVrERERAaVSCWdnZ4wYMQK2trY6jJyIiIiI8oOJWiIiIiKiYiI2Nhbff/89qlatilatWsHc3BxRUVFwcHCQ5hF89uwZxo4dCz8/PzRq1AjGxsZ48uQJypcvDwsLCx0fARERERHlFac+ICIiIiIqJsLCwmBjY4NBgwZJy+zt7dXKbNiwATVr1kRgYKC0rDBvBkNERERERYMjaomIiIiIionvvvsOXl5eiI6ORkREBKytrdGqVSu0aNECAKBUKhEcHIz27dvj5s2buH//Puzt7dGhQwfUrVtXa50pKSlISUlRWyaXyyGXywv9eIiIiIgo5ziiloiIiIiomHj+/Dn279+PgIAAdOzYEXfv3sXy5cthYGAAX19fvH37FomJiQgLC0O3bt3Qo0cPXL58GXPnzkVISAiqVKmiUef27duxZcsW6XGjRo14cxciIiKiYoiJ2mLg9evXSE1N1XUYJYqdnR1evHih6zDoA8Y2RPnFNkT5xTZU8AwMDGBlZaXrMLKkVCrh4eGB7t27AwDKlSuHR48eYf/+/fD19YVSqQQA1K5dG+3atQMAuLm54ebNm9i3b5/WRG3Hjh2lsgAgk8kAFG0flO2ZSjK2byqp2LapJCvK9p2bPigTtcVAamqqxuVolHeqLx+pqangzB6UF2xDlF9sQ5RfbEMfLysrKzg7O6stc3Z2xtmzZwEA5ubm0NfX1yjj5OSEmzdvaq0zs2kOiqoPyvZMJRnbN5VUbNtUkhXn9q2n6wCIiIiIiOi9ihUrIjIyUm1ZZGQk7OzsALwfkeHh4aFRJioqCra2tkUWJxEREREVPCZqiYiIiIiKiYCAANy+fRvbtm3Ds2fPcOLECRw8eBD+/v5Smfbt2+PUqVM4cOAAnj17hj179uDChQtqZYiIiIjow8OpD4iIiIiIiglPT0+MHDkS69atw9atW2Fvb4+goCA0btxYKlO3bl3069cPf/75J5YvX44yZcpgxIgRqFSpkg4jJyIiIqL8YqKWiIiIiKgYqVWrFmrVqpVlGT8/P/j5+RVRRERERERUFJioLeZSU1MRHx+v6zA+OAkJCUhOTtZ1GEXCxMQEBgZ8KRMRERERERERfciY3SnGUlNTERcXBzMzM+jpcTrh3JDL5UVyF2NdUyqVePfuHUqVKsVkLRERERERERHRB4zZv2IsPj6eSVrKkp6eHszMzDjqmoiIiIiIiIjoA8cMYDHHJC1lh22EiIiIiIiIiOjDxwwPERERERERERERkY4xUUtERERERERERESkY0zUUpHauHEjKleunGWZYcOGoXfv3tLjLl26YMKECdLjevXqYdmyZQUa16lTp+Dk5IQ3b94UaL1EREREREREREQ5wdvEf2AaLrxUpPs79W3NXG8zbNgwbN68GQAgl8vh5OSELl26YMiQITnafvLkyRBCZLp+9+7dMDExyXVcWalduzYuXboEc3PzAq2XiIiIiIiIiIgoJ5iopULRrFkzzJs3D8nJyTh48CDGjRsHAwMD2NvbZ7ttdslSGxubggpTolAochQbERERERERERFRYeDUB1QoVIlPZ2dnBAUFoXHjxti3b5+0/siRI2jatCnKly+PHj164L///pPWZZz6IKOMUx84OTlh5cqVCAwMhIeHBxo0aICdO3dK6x8/fgwnJyeEhYWhffv2cHd3h5+fH06fPi2VyTj1gWqKhqziBIB169ahadOmcHd3R5MmTbBixQppXXJyMsaNG4eaNWvC3d0ddevWxS+//JL7k0lERERERERERCUeE7VUJIyMjJCSkgIASEhIwG+//YaFCxdi27ZtePr0KaZMmZKv+mfPno22bdti37596NixI/r374/bt2+rlZkyZQq+/vpr7N27F7Vq1UJwcDCio6MzrTO7OLdt24Y5c+bg+++/x5EjRzBmzBjMnj0bmzZtAgD88ccf2LdvH3777TccO3YMixYtQtmyZfN1nEREREREREREVDIxUUuFSgiBY8eO4ejRo2jUqBEAICUlBTNnzoSXlxeqV6+O4OBgnDhxIl/7adeuHbp37w4PDw+MHj0a3t7e+OOPP9TK9OrVCwEBAShfvjxmzJgBMzMzbNiwIdM6s4tz7ty5mDBhAtq2bQsXFxe0bdsW/fr1w5o1awAAT58+Rbly5VC3bl04Ozujbt266NChQ76Ok4iIiIiIiIiISibOUUuF4sCBAyhfvjxSU1OhVCrRoUMHjBgxAjt37oSxsTHc3Nyksg4ODnj58mW+9lerVi21x7Vr18bVq1czLWNgYAAvLy+NUbfpZRVnfHw8Hjx4gBEjRmDUqFFSmbS0NJiZmQEAunbtii+++AKNGzdGs2bN0KJFCzRt2jTPx0hERERERERERCUXE7VUKBo2bIgZM2ZAoVDAwcEBBgb/19TkcrlaWZlMBiFEUYeYrazijIuLA/B+yoWaNWuqldPX1wcAVK9eHWfOnMGhQ4dw4sQJDBgwAD4+Pmrz6xIREREREREREQGc+oAKiYmJCcqVKwcnJye1JG1huXjxotrj8PBwlC9fPtMyqampuHr1qkaZnLKzs4OjoyMePnyIcuXKqf1zcXGRypmZmeGzzz7D7NmzsWTJEuzevRuvX7/O0z6JiIiIiIiIiKjk4ohaKhH++usveHl5oU6dOti+fTsuXbqEOXPmqJVZsWIFypUrh/Lly+N///sf3rx5gy+++CLP+xwxYgTGjx8Pc3Nz+Pr6Ijk5GVevXkVMTAy+/vprLF26FA4ODqhWrRpkMhn++usv2Nvbw8LCIr+HS0REREREREREJQwTtVQijBgxAmFhYRg7dizs7e2xdOlSVKhQQa3M2LFj8euvv+L69etwc3PD8uXLYW1tned9du/eHcbGxliyZAmmTp0KExMTVKpUCX379gUAmJqaYvHixbh//z709fXh5eWF1atXQ0+PA9mJiIiIiIiIiEidTBTHyUE/Mi9evEBKSorG8rdv38Lc3FwHEX1YnJycEBoaitatW0vL5HK5dE4fP36M+vXrY+/evahWrZquwixUbCsFSyaToXTp0oiKiiqW8ydT8cc2VLjOPtLXdQhUgOq5pBXZvuRyOezs7Ipsf8VdZn3Qgsb3RCrJ2L6ppGLbppKsqNt3bvqgHNpHREREREREREREpGNM1BIRERERERERERHpGOeopQ/e06dPs1xftmzZbMsQERERERERERHpEkfUEhEREREREREREekYE7VEREREREREREREOsZELREREREREREREZGOMVFLREREREREREREpGNM1BIRERERERERERHpGBO1RERERERERERERDrGRC1RDg0bNgy9e/cu8v3Wq1cPy5YtK/L9EhERERERERFR0THQdQCUO2cf6Rfp/uq5pOV6m2HDhuHt27f4448/clTeyckJoaGhaN26da73VRgeP36M+vXrY+/evahWrZq0fPLkyRBC6DAyIiIiIiIiIiIqqZiopRIjJSUFcrm80Oo3NzcvtLqJiIiIiIiIiOjjxqkPqFB16dIF48ePx9SpU1G1alV4e3tj7ty50vp69eoBAPr06QMnJyfpMQDs3bsX/v7+cHd3R4MGDTBv3jykpqZK652cnLBy5UoEBwfD09MTCxcuxNy5c9GyZUts2rQJ9erVQ6VKlTBw4EDExsZK2x0+fBgdOnRA5cqVUbVqVfTs2RMPHjyQ1tevXx8A4O/vDycnJ3Tp0gWA5tQHSUlJGD9+PGrUqAF3d3d06NABly9fltafOnUKTk5OOH78ONq0aQMPDw+0b98ed+7ckco8ePAAvXr1gpeXF8qXL4+2bdvi2LFj+TzrRERERERERET0oWGilgrd5s2bYWJigp07d2LcuHGYP3++lIzcvXs3AGDevHm4dOmS9Pjs2bMYOnQo+vTpg8OHD2PWrFnYtGkTFi5cqFb3vHnz0KZNGxw8eBBffPEFAODhw4f4+++/sXLlSqxcuRJnzpzBokWLpG3i4+PRv39/7N69Gxs3boSenh769u0LpVIJANi1axcAYMOGDbh06VKm88NOmzYNu3fvxoIFC7Bnzx64ubmhR48eeP36tVq5WbNmYcKECfj7779hYGCAESNGSOvi4uLg5+eHjRs3Yu/evfD19UWvXr3w9OnTPJ9vIiIiIiIiIiL68HDqAyp0lStXxvDhwwEA7u7uWLFiBU6cOIEmTZrAxsYGAGBhYQF7e3tpm3nz5mHw4MHo2rUrAMDV1RWjRo3CtGnTpLoAoEOHDujWrZva/pRKJX755RcYGhoCADp37owTJ05I6wMCAtTKz5s3D9WrV8etW7dQqVIlKSYrKyu1mNKLj4/HqlWrMH/+fPj5+QEAZs+ejfr162PDhg0YOHCgVPb7779HgwYNAACDBw9Gz549kZiYCCMjI1StWhVVq1aVyo4ePRp79uzBvn370KtXr2zPLRERERERERERlQxM1FKhq1y5stpje3t7vHz5MsttIiIiEB4erjaCVqlUIjExEQkJCTA2NgYAeHl5aWxbtmxZmJqaIiUlRdrfq1evpPX37t3DnDlzcOnSJURHR0sjaZ8+fYpKlSrl6JgePHiAlJQU1KlTR1oml8vh7e2N27dvq5WtUqWK9LeDgwMA4NWrV3ByckJcXBzmzp2LgwcP4vnz50hNTUViYiJH1BIRERERERERfWSYqKVCZ2Cg3sxkMpmUHM1MfHw8RowYgTZt2misU42UBQATE5Nc7y84OBjOzs746aef4OjoCKVSCT8/PymxW9AyxgNAimfy5Mk4fvw4xo8fDzc3NxgZGaF///5ITk4ulFiIiIiIiIiIiKh4YqKWdE4ulyMtLU1tWbVq1XD37l2UK1euQPcVHR2Nu3fvYvbs2dKNy86dO6cRD4Ask8lubm5QKBQ4f/48nJ2dAQApKSm4fPky+vXrl+N4wsPD8fnnn0sJ6bi4ODx58iRXx0RERERERERERB8+JmpJ55ydnXHixAnUqVMHCoUClpaW+O677xAUFAQnJycEBARAT08PERER+Pfff/H999/neV+WlpawsrLCmjVrYG9vj6dPn2LGjBlqZWxtbWFkZITDhw+jdOnSMDQ0hLm5uVoZExMTfPXVV5g6dSosLS3h5OSExYsXIzExUbqpWU6UK1cOf//9N1q2bAmZTIbZs2dnO9qYiIiIiIiIiIhKHj1dB0A0YcIEHDt2DHXq1IG/vz8AwNfXFytXrsTRo0fRtm1bfPrpp1i2bJk0ejWv9PT0sHjxYvzzzz9o3rw5Jk6ciB9//FGtjIGBAaZMmYI1a9bgk08+Qe/evbXWNXbsWLRt2xbffvstWrdujQcPHmDt2rWwtLTMcTwhISGwsLDAZ599huDgYPj6+qJ69er5OUQiIiIiIiIiIvoAyYQQQtdBfOxevHihdX7Ut2/faozkpJyRy+WFNudsccS2UrBkMhlKly6NqKgo8C2S8oJtqHCdfaSv6xCoANVzScu+UAGRy+Wws7Mrsv0Vd5n1QQsa3xOpJGP7ppKKbZtKsqJu37npg3JELREREREREREREZGOMVFLREREREREREREpGNM1BIRERERERERERHpGBO1RERERERERERERDrGRC0RERERERERERGRjjFRW4zxzoqUU2wrREREREREREQfNiZqizEDAwPExcUxCUeZEkIgLi4OBgYGug6FiIiIiIiIiIjygdmdYqxUqVJISkrCu3fvdB3KB0ehUCA5OVnXYRQJQ0NDGBoa6joMIiIiIiIiIiLKh2KVqN2+fTvOnTuHp0+fQqFQoEKFCggMDESZMmWkMhMnTkRERITadi1atED//v2lxy9fvsSyZctw/fp1GBkZoWnTpujevTv09fWlMtevX8eqVavw+PFj2NjYoHPnzvD19VWrd8+ePdi5cydiYmLg6uqK3r17w9PTU1qfnJyMVatW4dSpU0hJSYGXlxf69u0LS0vLAjsnTMLlnkwmQ+nSpREVFcXRyERERERERERE9EEoVonaiIgI+Pv7w8PDA2lpaVi/fj2mTp2KefPmwcjISCrXvHlzdOvWTXqsUCikv5VKJWbMmAFLS0tMnToVr1+/xqJFi6Cvr4/u3bsDAJ4/f46ZM2eiZcuWGDJkCK5du4bffvsNlpaW8Pb2BgCcOnUKq1atQr9+/VC+fHns2rUL06ZNw4IFC2BhYQEAWLlyJS5evIjhw4fDxMQEoaGhmDt3LqZMmVIEZ4uIiIiIiIiIiIhKimI1R+24cePg6+uLsmXLws3NDYMHD8bLly9x7949tXKGhoawtLSU/pmYmEjrrly5gidPnmDIkCFwc3NDzZo10a1bN+zduxepqakAgH379sHe3h49e/aEs7MzWrdujfr162PXrl1SPX/99ReaN2+OZs2awdnZGf369YNCocDhw4cBAPHx8Th06BCCgoJQrVo1uLu7Y9CgQbh58yZu3bpVBGeLiIiIiIiIiIiISopiNaI2o/j4eACAqamp2vLjx4/j+PHjsLS0RK1atdC5c2dpeoBbt27BxcVFbfoBb29v/P7773j8+DHKlSuH27dvo3r16mp1enl5YcWKFQCA1NRU3Lt3Dx06dJDW6+npoXr16lIS9t69e0hLS1Orx8nJCba2trh16xYqVKigcTwpKSlISUmRHstkMhgbG+f+xBARERFRiRUdHY01a9bg8uXLSEpKgqOjIwYNGgQPDw8AwK+//oqjR4+qbePl5YVx48bpIlwiIiIiKiDFNlGrVCqxYsUKVKxYES4uLtJyHx8f2NrawtraGg8fPsTatWsRGRmJkSNHAgBiYmI05ohVTVUQExMj/a9alr5MQkICkpOTERsbC6VSqVGPpaUlIiMjpToMDAxQqlQpjXpU+8lo+/bt2LJli/S4XLlymDVrFkxMTKBUKgG8n/c2KSkJhoaGalM6JCUlITk5GcbGxjAw+L+nLTExESkpKTAxMVGbgzc+Ph5paWkwNTWFTCaTlsfFxUGpVMLMzEwttnfv3kFPT0/teIQQiI2Nhb6+vtqo5bS0NMTHx0Mul6tNSZGamoqEhAQoFAq1eXV1dUwAStwxlcTnqbgeE/B/PxKVlGMqic9TcT0m1Y9yhoaGkMvlJeKYitPzBMSDSg7Vc14Ube9DEBsbi/Hjx6Nq1aoYO3YszM3NERUVpdHn9Pb2xqBBg6TH6c8BEREREX2Yim2PLjQ0FI8fP8bkyZPVlrdo0UL628XFBVZWVpg8eTKePXsGR0fHog4zVzp27Ih27dpJj1VfUOPj49VG2gLvv3wkJSVp1JGQkKC17sy+fMTGxmpd/u7dO41lSqVS6/K0tDStyzOOEFZJTk5GcnKyxvKiOiaZTCZ96Sspx5Qej6lojsnCwgKxsbFqN6T70I9JGx5T4RyT6v09KSkJiYmJGuU/xGNSKR7Pk75GGfpwZXzOC7Pt6ekVq1m/tAoLC4ONjY1aEtbe3l6jnIGBQYHewJaIiIiIdK9YJmpDQ0Nx8eJFTJo0CTY2NlmW9fT0BAApUWtpaYk7d+6olXnz5g0ASJ1ZS0tLaVn6MsbGxlAoFDA3N4eenp7GyNj0o3UtLS2RmpqKuLg4tREOb968ybTTLJfL1UZWERERERGlFx4eDi8vL8ybNw8RERGwtrZGq1at1AYrAO9vwtu3b1+UKlUK1apVwxdffKH16iIiIiIi+nAUq2EFQgiEhobi3LlzmDBhgtbRAxk9ePAAAGBlZQUAqFChAh49eqSWiL169SqMjY3h7OwMAChfvjz++ecftXquXr0qzStrYGAAd3d3XLt2TVqvVCpx7do1qYy7uzv09fXV6omMjMTLly+1zk9LRERERJSd58+fY//+/XB0dMS4cePQqlUrLF++HEeOHJHKeHt745tvvsGECRPQo0cPREREYPr06dJUWhmlpKQgPj5e+pfZKGQiIiIi0q1iNaI2NDQUJ06cwOjRo2FsbCyNaDUxMYFCocCzZ89w4sQJfPLJJzA1NcWjR4+wcuVKVK5cGa6urgDe30jB2dkZixYtQo8ePRATE4MNGzbA399fGs3aqlUr7N27F2vWrEGzZs1w7do1nD59GmPGjJFiadeuHX799Ve4u7vD09MTu3fvRlJSEnx9faWY/Pz8sGrVKpiamsLExAR//PEHKlSowEQtEREREeWJUqmEh4cHunfvDuD9PQ0ePXqE/fv3S/3QRo0aSeVdXFzg6uqKIUOG4Pr16xo3zAWKx30SVD7WubV5TCX3mFRTHKW/AfaHfkwl8XniMeX+mFSfD+nb9od+TCXxeeIx5e+YTE1Ni919EmQi/QSMOta1a1etywcNGgRfX1+8fPkSv/zyCx4/foykpCTY2Nigbt266NSpk9rJf/HiBX7//Xdcv34dhoaGaNq0KXr06KF2oq5fv46VK1fiyZMnsLGxQefOnaXOr8qePXuwY8cOxMTEwM3NDb169UL58uWl9cnJyVi1ahVOnjyJ1NRUeHl5oW/fvrmeL+zFixda5wekvJHJZChdujSioqJQjJo3fUDYhii/2IYK19lHnKO2JKnnklZk+5LL5bCzsyuy/eXFoEGDUKNGDQwYMEBatm/fPmzduhVLly7NdLs+ffrgiy++QMuWLTXWZZyLWiaTwdjYuMj6oHxPpJKM7ZtKKrZtKsmKun3npg9arEbUbtq0Kcv1tra2mDRpUrb12NnZ4YcffsiyTNWqVfHTTz9lWaZ169Zo3bp1pusVCgX69u2Lvn37ZhsTEREREVF2KlasiMjISLVlkZGRWXbuX716hdjYWGkqsIx4nwQiIiKiD0OxmqOWiIiIiOhjFhAQgNu3b2Pbtm3StF8HDx6Ev78/gPeX1a1evRq3bt3C8+fP8c8//+Cnn36Co6MjvLy8dBw9EREREeVHsRpRS0RERET0MfP09MTIkSOxbt06bN26Ffb29ggKCkLjxo0BAHp6enj06BGOHj2KuLg4WFtbo0aNGujWrRtHzRIRERF94JioJSIiIiIqRmrVqoVatWppXadQKDBu3LgijoiIiIiIigITtUREVKQ+mhtBPfwPH8MMQ0V5IygiIiIiIqKSrOR/gyQiIiIiIiIiIiIq5pioJSIiIiIiIiIiItIxJmqJiIiIiIiIiIiIdIyJWiIiIiIiIiIiIiIdY6KWiIiIiIiIiIiISMeYqCUiIiIiIiIiIiLSMSZqiYiIiIiIiIiIiHSMiVoiIiIiIiIiIiIiHWOiloiIiIiIiIiIiEjHmKglIiIiIiIiIiIi0jEmaomIiIiIiIiIiIh0jIlaIiIiIiIiIiIiIh1jopaIiIiIiIiIiIhIx5ioJSIiIiIiIiIiItIxJmqJiIiIiIiIiIiIdIyJWiIiIiIiIiIiIiIdY6KWiIiIiIiIiIiISMeYqCUiIiIiIiIiIiLSMSZqiYiIiIiIiIiIiHSMiVoiIiIiIiIiIiIiHWOiloiIiIiIiIiIiEjHmKglIiIiIiIiIiIi0jEmaomIiIiIiIiIiIh0jIlaIiIiIiIiIiIiIh1jopaIiIiIiIiIiIhIx5ioJSIiIiIiIiIiItIxJmqJiIiIiIiIiIiIdIyJWiIiIiIiIiIiIiIdY6KWiIiIiIiIiIiISMeYqCUiIiIiIiIiIiLSMSZqiYiIiIiIiIiIiHSMiVoiIiIiIiIiIiIiHWOiloiIiIiIiIiIiEjHmKglIiIiIiIiIiIi0jEmaomIiIiIiIiIiIh0jIlaIiIiIiIiIiIiIh1jopaIiIiIiIiIiIhIx5ioJSIiIiIiIiIiItIxJmqJiIiIiIiIiIiIdIyJWiIiIiIiIiIiIiIdY6KWiIiIiIiIiIiISMeYqCUiIiIiIiIiIiLSMSZqiYiIiIiIiIiIiHSMiVoiIiIiIiIiIiIiHWOiloiIiIiIiIiIiEjHmKglIiIiIiIiIiIi0jEmaomIiIiIiIiIiIh0jIlaIiIiIiIiIiIiIh1jopaIiIiIiIiIiIhIxwx0HQAREREREf2f6OhorFmzBpcvX0ZSUhIcHR0xaNAgeHh4aJT93//+hwMHDiAoKAgBAQE6iJaIiIiICgoTtURERERExURsbCzGjx+PqlWrYuzYsTA3N0dUVBRKlSqlUfbcuXO4ffs2rKysdBApERERERU0Tn1ARERERFRMhIWFwcbGBoMGDYKnpyfs7e3h5eUFR0dHtXLR0dH4448/8O2338LAgGMviIiIiEoC9uqIiIiIiIqJ8PBweHl5Yd68eYiIiIC1tTVatWqFFi1aSGWUSiV++eUXtG/fHmXLltVhtERERERUkJioJSIiIiIqJp4/f479+/cjICAAHTt2xN27d7F8+XIYGBjA19cXwPtRt/r6+mjTpk2O6kxJSUFKSor0WCaTwdjYuDDCJyIiIqJ8YKKWiIiIiKiYUCqV8PDwQPfu3QEA5cqVw6NHj7B//374+vri3r172L17N2bNmgWZTJajOrdv344tW7ZIj8uVK4dZs2bBxMQESqUSAJCcnIykpCQYGhpCoVBIZZOSkpCcnAxjY2O1KRYSExORkpICExMT6OvrS8vj4+ORlpYGU1NTrfGZmZmpPX737h309PTU5uAVQiA2Nhb6+vowMTGRlqelpSE+Ph5yuRxGRkbS8tTUVCQkJEChUMDQ0FBaXtjHFBcXB6VSyWP6yI8pMTERAGBqalpijqkkPk88ptwfk+rzIX3b/tCPqSQ+Tzym/B2TqalpkRxTbsiEECJXW1CBe/HihdooB8ofmUyG0qVLIyoqCmzeBe/sI/3sC9EHo55LWpHvk22oZGEbovwqyjYkl8thZ2dXZPvLi0GDBqFGjRoYMGCAtGzfvn3YunUrli5dil27dmHVqlVqX16USiVkMhlsbW3x66+/atSZ2YjaouqDsm9GJRnbN5VUbNtUkhV1+85NH5QjaomIiIiIiomKFSsiMjJSbVlkZKTUuW/SpAmqV6+utn7atGlo0qQJmjVrprVOuVwOuVxeOAETERERUYHR03UARERERET0XkBAAG7fvo1t27bh2bNnOHHiBA4ePAh/f38A76cOcHFxUftnYGAAS0tLlClTRsfRExEREVF+cEQtEREREVEx4enpiZEjR2LdunXYunUr7O3tERQUhMaNG+s6NCIiIiIqZEzUEhEREREVI7Vq1UKtWrVyXF7bvLRERERE9OHh1AdEREREREREREREOsZELREREREREREREZGOMVFLREREREREREREpGNM1BIRERERERERERHpGBO1RERERERERERERDrGRC0RERERERERERGRjjFRS0RERERERERERKRjTNQSERERERERERER6RgTtUREREREREREREQ6xkQtERERERERERERkY4xUUtERERERERERESkYwa6DiC97du349y5c3j69CkUCgUqVKiAwMBAlClTRiqTnJyMVatW4dSpU0hJSYGXlxf69u0LS0tLqczLly+xbNkyXL9+HUZGRmjatCm6d+8OfX19qcz169exatUqPH78GDY2NujcuTN8fX3V4tmzZw927tyJmJgYuLq6onfv3vD09MxVLERERERERERERETZKVYjaiMiIuDv749p06bhxx9/RFpaGqZOnYrExESpzMqVK3HhwgUMHz4ckyZNwuvXrzF37lxpvVKpxIwZM5CamoqpU6di8ODBOHLkCDZu3CiVef78OWbOnImqVavip59+QkBAAH777TdcvnxZKnPq1CmsWrUKXbp0waxZs+Dq6opp06bhzZs3OY6FiIiIiIiIiIiIKCeKVaJ23Lhx8PX1RdmyZeHm5obBgwfj5cuXuHfvHgAgPj4ehw4dQlBQEKpVqwZ3d3cMGjQIN2/exK1btwAAV65cwZMnTzBkyBC4ubmhZs2a6NatG/bu3YvU1FQAwL59+2Bvb4+ePXvC2dkZrVu3Rv369bFr1y4plr/++gvNmzdHs2bN4OzsjH79+kGhUODw4cM5joWIiIiIiIiIiIgoJ4pVojaj+Ph4AICpqSkA4N69e0hLS0P16tWlMk5OTrC1tZWSo7du3YKLi4va9APe3t5ISEjA48ePAQC3b99WqwMAvLy8pDpSU1Nx7949tTJ6enqoXr26VCYnsRARERERERERERHlRLGaozY9pVKJFStWoGLFinBxcQEAxMTEwMDAAKVKlVIra2FhgZiYGKlMxjliLSwspHWq/1XL0pdJSEhAcnIyYmNjoVQqNeqxtLREZGRkjmPJKCUlBSkpKdJjmUwGY2PjLM8DERERERERERERlXzFNlEbGhqKx48fY/LkyboOpcBs374dW7ZskR6XK1cOs2bNgomJCZRKJYD3NyhLSkqCoaEhFAqFVDYpKQnJyckwNjaGgcH/PW2JiYlISUmBiYmJ2s3S4uPjkZaWBlNTU8hkMml5XFwclEolzMzM1GJ79+4d9PT01BLPQgjExsZCX18fJiYm0vK0tDTEx8dDLpfDyMhIWp6amoqEhAQoFAoYGhpKy3V1TABK3DEVj+cpXuM804dLF22PShaFQlHk73t8HypZVM95UXzmEhEREREVZ8UyURsaGoqLFy9i0qRJsLGxkZZbWloiNTUVcXFxal/Y3rx5I41+tbS0xJ07d9TqU90ALH2Z9DcFU5UxNjaGQqGAubk59PT0NEbGph+tm5NYMurYsSPatWsnPVZ9QY2Pj1cbaQu8//KRlJSkUUdmSY7MvnzExsZqXf7u3TuNZUqlUuvytLQ0rcszjhBWSU5ORnJyssbyojommUwmfekrKceUnu6PSV9jHX24dNH2qGRRvY8U7fse34dKkozPeWF+5urpFetZv4iIiIjoI1eseqtCCISGhuLcuXOYMGEC7O3t1da7u7tDX18f//zzj7QsMjISL1++RIUKFQAAFSpUwKNHj9QSsVevXoWxsTGcnZ0BAOXLl1erQ1VGVYeBgQHc3d1x7do1ab1SqcS1a9ekMjmJJSO5XA4TExPpH6c9ICIiIiIiIiIiIqCYjagNDQ3FiRMnMHr0aBgbG0sjWk1MTKBQKGBiYgI/Pz+sWrUKpqamMDExwR9//IEKFSpIyVEvLy84Oztj0aJF6NGjB2JiYrBhwwb4+/tDLpcDAFq1aoW9e/dizZo1aNasGa5du4bTp09jzJgxUizt2rXDr7/+Cnd3d3h6emL37t1ISkqCr6+vFFN2sRARERERERERERHlRLFK1O7btw8AMHHiRLXlgwYNkhKkQUFBkMlkmDt3LlJTU+Hl5YW+fftKZfX09DBmzBj8/vvv+PHHH2FoaIimTZuiW7duUhl7e3uMGTMGK1euxO7du2FjY4MBAwbA29tbKtOwYUO8ffsWmzZtQkxMDNzc3DB27Fi1aQ2yi4WIiIiIiIiIiIgoJ2RCCKHrID52L1684DyOBUgmk6F06dKIiooCm3fBO/uIc0OWJPVc0op8n2xDJQvbEOVXUbYhuVwOOzu7IttfcVdUfVD2zagkY/umkoptm0qyom7fuemDFqs5aomIiIiIiIiIiIg+Rnme+uDJkyd48uQJ3r59C5lMBjMzMzg7O0s37CIiIiIiIiIiIiKinMlVovb69es4cuQILly4gLi4OK1lTExMUKtWLTRr1gxVq1YtkCCJiIiIiIiIiIiISrIcJWovX76MjRs34t69eyhbtix8fX3h7u4Oe3t7mJqaQgiBuLg4PH/+HPfu3cPVq1cxefJklCtXDl988YXaTbqIiIiIiIiIiIiISF2OErVz585F8+bN8c0338DJySnTchUqVICPjw8A4OnTp9i/fz/mz5+PlStXFky0RERERERERERERCVQjhK1S5Ysgampaa4qdnJyQnBwMLp06ZKnwIiIiIiIiIiIiIg+Fno5KZTbJG1BbUtERERERERERET0McjVzcSykpSUhJMnTyI1NRU1a9aEnZ1dQVVNREREREREREREVKLlKVG7ZMkS3LlzB3PnzgUApKamYty4cXj8+DEAwMTEBBMmTEC5cuUKLlIiIiIiIiIiIiKiEipHUx9kdP36ddStW1d6fOLECTx+/BhDhgzB3LlzYWlpic2bNxdYkEREREREREREREQlWZ4StTExMWpTG5w7dw7u7u7w8fGBs7Mzmjdvjjt37hRYkEREREREREREREQlWZ4StYaGhoiPjwcApKWlISIiAl5eXtJ6IyMjaT0RERERERERERERZS1Pc9S6u7vj4MGDqFq1KsLDw5GQkIDatWtL6//77z9YWFgUWJBEREREREREREREJVmeRtR+8cUXePPmDcaMGYMtW7agXr168PT0lNafO3cOFStWLLAgiYiIiIiIiIiIiEqyPI2o9fDwwIIFC3Dz5k2UKlUKVapUkdbFxcXB399fbRkRERERERERERERZS5PiVoAMDc3R506dTSWlypVCm3bts1XUEREREREREREREQfkzwnagEgISEBL168QFxcHIQQGus5qpaIiIiIiIiIiIgoe3lK1L579w6hoaE4e/YslEplpuU2btyY58CIiIiIiIiIiIiIPhZ5StQuXboUFy5cQJs2bVCpUiWYmpoWdFxEREREREREREREH408JWqvXLmCgIAABAYGFnQ8RERERERERERERB8dvbxsZGhoCDs7u4KOhYiIiIiIiIiIiOijlKdEbePGjXHu3LmCjoWIiIiIiIiIiIjoo5SnqQ/q16+PiIgITJs2DS1atICNjQ309DRzvu7u7vkOkIiIiIiIiIiIiKiky1OidsKECdLfV69ezbTcxo0b81I9ERERERERERER0UclT4nagQMHFnQcRERERERERERERB+tPCVqfX19CzgMIiIiIiIiIiIioo9XnhK16SUmJuLly5cAAFtbWxgZGeU7KCIiIiIiIiIiIqKPSZ4TtXfu3MHatWvx77//QqlUAgD09PRQqVIlBAYGwsPDo8CCJCIiIiIiIiIiIirJ8pSovX37NiZOnAgDAwP4+fnByckJAPD06VOcPHkSISEhmDhxIjw9PQs0WCIiIiIiIiIiIqKSKE+J2g0bNsDa2hpTpkyBpaWl2rrPP/8c48ePx/r16zF+/PiCiJGIiIiI6KMRHR2NNWvW4PLly0hKSoKjoyMGDRokXbG2adMmnDp1Cq9evYKBgQHc3d3xxRdfoHz58jqOnIiIiIjyI88jart06aKRpAUAS0tLtGjRAlu3bs1vbEREREREH5XY2FiMHz8eVatWxdixY2Fubo6oqCiUKlVKKlOmTBn07t0bDg4OSE5Oxq5duzB16lT88ssvMDc312H0RERERJQfeUrUymQypKWlZbpeqVRCJpPlOSgiIiIioo9RWFgYbGxsMGjQIGmZvb29WhkfHx+1xz179sShQ4fw8OFDVK9evUjiJCIiIqKCl6dEbcWKFbF37174+PjAzs5Obd3Lly+xb98+VKpUqUACJCIiIiL6WISHh8PLywvz5s1DREQErK2t0apVK7Ro0UJr+dTUVBw4cAAmJiZwdXXVWiYlJQUpKSnSY5lMBmNj40KJn4iIiIjyLk+J2i+//BIhISEYNmwY6tati9KlSwMAIiMjER4eDn19fXz55ZcFGigRERERUUn3/Plz7N+/HwEBAejYsSPu3r2L5cuXw8DAAL6+vlK5CxcuYMGCBUhOToalpSV+/PHHTKc92L59O7Zs2SI9LleuHGbNmgUTExMolUoAQHJyMpKSkmBoaAiFQiGVTUpKQnJyMoyNjWFg8H9fHRITE5GSkgITExPo6+tLy+Pj45GWlgZTU1OtV9iZmZmpPX737h309PTUpnYQQiA2Nhb6+vowMTGRlqelpSE+Ph5yuRxGRkbS8tTUVCQkJEChUMDQ0FBaXtjHFBcXB6VSyWP6yI8pMTERAGBqalpijqkkPk88ptwfk+rzIX3b/tCPqSQ+Tzym/B2TqalpkRxTbsiEECJXW/x/T548wfr163H16lUkJycDABQKBby8vPDFF1/A2dk5L9V+lF68eKE2yoHyRyaToXTp0oiKikIemzdl4ewj/ewL0Qejnkvm09gUFrahkoVtiPKrKNuQXC7XuBqsuPnyyy/h4eGBqVOnSsv++OMP3L17F9OmTZOWJSYmIiYmBm/fvsXBgwdx7do1TJ8+HRYWFhp1Zjaitqj6oOybUUnG9k0lFds2lWRF3b5z0wfN04haAHB2dsaoUaOgVCrx9u1bAIC5uTn09PTyWiURERER0UfNyspKY8CDs7Mzzp49q7bMyMgIjo6OcHR0RIUKFfDtt9/i0KFD6Nixo0adcrkccrm8UOMmIiIiovzLc6JWRU9PD5aWlgUQChERERHRx61ixYqIjIxUWxYZGZntKAwhBK/QIiIiIvrA5ShRq5rTqlOnTtDT01Ob4yorXbp0yXtkREREREQfmYCAAIwfPx7btm1Dw4YNcefOHRw8eBD9+/cH8H7Kg23btqF27dqwsrLCu3fvsGfPHkRHR6NBgwY6jp6IiIiI8iNHidrNmzcDADp06AA9PT3pcXaYqCUiIiIiyjlPT0+MHDkS69atw9atW2Fvb4+goCA0btwYwPur2SIjIzF37ly8e/cOZmZm8PDwwKRJk1C2bFkdR09ERERE+ZGjRO3GjRuzfExERERERAWjVq1aqFWrltZ1CoUCI0eOLOKIiIiIiKgo8M5fRERERERERERERDrGRC0RERERERERERGRjuVo6oPBgwdDJpPlqmKZTIZffvklT0ERERERERERERERfUxylKitUqVKrhO1RERERERERERERJQzOR5RS0RERERERERERESFg3PUEhEREREREREREelYjkbURkRE5KnyKlWq5Gk7IiIiIiIiIiLKXFRUFKZPn45Dhw4hMTERbm5umDdvHry8vJCSkoKffvoJhw4dwsOHD2Fubg4fHx+MHTsWjo6OOap/5syZ+OGHH9CnTx9MnjxZWt6lSxecPn1arWxgYCBmzZoFAHj9+jWGDRuGU6dOoVy5cpg3bx6qVasmlR07dixcXFwwYMCAAjgLRCVLjhK1kyZNylPlGzduzNN2RERERERERESkXUxMDDp06ICGDRtizZo1sLGxwf3792FhYQEASEhIwD///IOhQ4eiSpUqePPmDUJCQtCrVy/8/fff2dZ/+fJlLF26NNMBeD169MDIkSOlx8bGxtLfCxcuRFxcHPbs2YNVq1Zh1KhR0j4vXLiAS5cuYcqUKfk5fKISK0eJ2pCQkMKOg4iIiIiIiIiIcmDx4sUoU6YM5s+fLy1zcXGR/jY3N8eGDRvUtpk6dSoCAgLw9OlTODk5ZVp3XFwcvvnmGyxbtgwTJkzQWsbIyAj29vZa1925cwft27eHh4cHAgMDsXbtWgBASkoKxowZgzlz5kBfXz/Hx0r0MclRopZTGBARERERERERFQ/79u1D06ZN0b9/f5w5cwaOjo4ICgpCjx49Mt3m7du3kMlkMDc3z7LusWPHonnz5mjRokWmidrt27dj27ZtsLe3R8uWLTFs2DBpVG2VKlVw8uRJdO/eHUeOHEHlypUBvE8uN2jQAF5eXnk8aqKSL0eJWiIiIiIiIiIiKh4ePXqE1atXo1+/fvj2229x+fJlTJgwAXK5HF27dtUon5iYiOnTp6NDhw4wMzPLtN6wsDBcu3YNu3fvzrRMhw4d4OzsDAcHB9y4cQPTpk3D3bt38fvvvwMABg8ejB9++AENGzZE2bJlMXfuXNy7dw+bN2/Gjh078P333+PYsWOoUaMGZs+enW3imOhjkqNE7eLFiyGTyfD1119DT08PixcvznYbmUyGgQMH5jtAIiIiovS++zNc1yFQATr1bU1dh0BERPTBUSqVqFGjBn744QcAQLVq1XDz5k2sXr1aI1GbkpKCAQMGQAiBGTNmZFrn06dPMWHCBKxfvx5GRkaZlgsMDJT+rly5Muzt7dGtWzc8ePAAbm5uMDc3x6+//qq2zeeff47x48dj+/btePToEY4dO4ZRo0Zh/vz5nG6TKJ0cJWqvX78OmUwGpVIJPT09XL9+PdttZDJZvoMjIiIiIiIiIiJ19vb2qFChgtoyT09PjZGwqiTtkydPsGnTpixH0/7zzz94+fIlWrduLS1LS0vDmTNnsGLFCty/f1/r3LKffPIJAEiJ2ow2btwICwsL+Pv7o2/fvvD394dcLke7du0wZ86c3Bw2UYmXo0Rtxl9CMj4mIiIiIiIiIqKiUadOHdy9e1dt2b1799RuEqZK0t6/fx+bN2+GtbV1lnX6+Pjg4MGDAN4PvrOzs0NgYCA8PDwwePDgTG8AphrMp+3mYq9evcL8+fOxfft2AO8Tv6mpqQCA1NRUpKWl5fCIiT4OeroOgIiIiIiIiIiIcq5fv364ePEiFi5ciPv372P79u1Yu3YtgoODAbxP0vbv3x9XrlzBL7/8grS0NDx//hzPnz9HcnKyVE/Xrl2xfPlyAICpqSkqVaok/atWrRpMTExgZWWFSpUqAXg/anb+/Pm4evUqHj9+jH379mHo0KGoX7++1hvRh4SE4Ouvv0bp0qUBvE8wb926Fbdv38batWtRp06dQj5TRB8W3kyMiIiIiCiP3r59i3fv3kEmk8HMzCzLS0qJiIgKire3N37//XfMnDkTCxYsQNmyZTFp0iR06tQJAPDs2TPs27cPANCqVSu1bTdv3oyGDRsCAB4+fIjo6Ogc71cul+PEiRP4/fffkZCQgNKlS6Nt27YYOnSoRtkjR47gwYMHWLhwobSsV69euHLlCtq1awdvb28MHz4818dOVJLJhBAiJwVHjhyZu4plMsyePTtPQX1sXrx4gZSUFF2HUWLIZDKULl0aUVFRyGHzplw4+0j75S70YarnUvSXGrENlSy6aEMNF14q8n1S4SnKm4nJ5XLY2dnlq47ExEScOXMG58+fx61bt/D27Vu19ebm5ihfvjzq1q2L+vXrZ3kzFl0rqj4o+2ZUkrF9U0nFtk0lWVG379z0QXM8ovbx48dQKBRwd3eHnh5nTCAiIiKij8e7d++wfft2HDhwACkpKXBxcUHt2rXh4OCAUqVKQQiBuLg4PH/+HPfu3cPSpUvxxx9/oEWLFujQoQPMzc11fQhEREREVMzlOFFboUIF3Lp1C8+ePUODBg3g4+MDT0/PwoyNiIiIiKhYGDx4MBwdHREYGIj69etnm3h9+/Ytzpw5g4MHD+LgwYNYuXJlEUVKRERERB+qHCdqp0yZghcvXuDEiRM4ceIE/v77bzg4OMDHxwc+Pj4oU6ZMYcZJRERERKQzw4cPh7e3d47Lm5ubo1WrVmjVqhUuX75caHERERERUcmRq5uJ2dnZoWPHjujYsSMePHiAEydO4MiRI9i6dSvc3Nzg4+ODxo0bw9LSspDCJSIiIiIqerlJ0hbktkRERET08chVojY9Nzc3uLm5ITAwEBEREdi8eTPWrFmDpKQkdOnSpSBjJCIiIiIq9qKjoxEdHQ1LS0vY2trqOhwiIiIi+sDkOVELvO+Mnjx5EidOnMCDBw9ga2sLNze3AgqNiIiIiKj4e/36NRYuXIiIiAhpWYUKFTBkyBDY29vrMDIiIqLcS1MKXI2KRep/ShikxKFG6VLQ15PpOiyij0KuE7WxsbE4ffo0Tp48iRs3bsDU1BQNGjRAr169UKlSpcKIkYiIiIio2Fq2bBnMzMzwyy+/wNraGk+ePMGSJUuwZMkShISE6Do8IiKiHDtyJwYLjj3B89gUaZm9qRzDmjjD19NSd4ERfSRynKhV3UTs6tWrkMvlqFWrFr7//nt4eXlBX1+/MGMkIiIiItK5P//8E+3atYOBgXoX+u7duxgzZow0etbNzQ1+fn5Yt26dLsIkIiLKkyN3YjB2932N5c9jUzB2931Mb1uOyVqiQpbjRO0vv/wChUKB2rVro3bt2jA0NERKSgrCw8Mz3aZevXoFEiQRERERka6dPn0aBw8eRM+ePVGnTh1pubu7O8LCwhAYGAgrKys8ffoUhw4dgru7uw6jJSIiyrk3CamYc+RxlmUWHHuCxu4WnAaBqBDlauqD5ORknD17FmfPns1R+Y0bN+YpKCIiIiKi4mbmzJk4cOAAli5dij179iA4OBhly5ZFv379sGDBAgwePFgq6+7ujoEDB+owWiIioveUQiA6PhXP3ibj2btk/Pfu/f/P3ibjv9hkPHubgtjktGzreR6bggVHn+DTajbwtDWGnowJW6KCluNELefXIiIiIqKPmUwmQ8uWLdGoUSNs2rQJY8aMgZ+fH7p164bJkyfj5cuXiImJgYWFBezs7HQdLhERfSSSU5V4HpvyPvn6/xOw6ROyz9+lIEUpCmRfW/95ia3/vISZoT68nUzxiZMpajqbMnFLVEBynKitUqVKYcZBRERERPRBMDExQXBwMFq0aIGVK1fi22+/xeeffw5/f3/Y2trqOjwiSicqKgrTp0/HoUOHkJiYCDc3N8ybNw9eXl5ISUnBTz/9hEOHDuHhw4cwNzeHj48Pxo4dC0dHxyzrXbFiBZYsWYIXL17Ay8sLISEh8Pb2ltY/ePAAU6ZMwblz55CcnAxfX19MnTpV+hEnKSkJI0eOxL59+2BnZ4fp06ejSZMm0vZLlizB06dPMXXq1EI5L/RheZeUiv/epWQ6IvZlXGqe6zbQk8HeVI5SCj3cfpmYi5jScPzeGxy/9wYAmLglKiC5mvqAiIiIiIjec3Z2xrhx4xAeHo7Vq1dj//79CA4ORo0aNXQdGhEBiImJQYcOHdCwYUOsWbMGNjY2uH//PiwsLAAACQkJ+OeffzB06FBUqVIFb968QUhICHr16oW///4703rDwsIwadIkzJw5E5988gnWrl2L7t2749ixY7C1tUV8fDy6d++OKlWqYNOmTQCA2bNnIzg4GDt37oSenh7Wrl2Lf/75Bzt27MDhw4fxzTff4MqVK5DJZHj06BHWrl2bZQxUciiFwKu4VGk07H9aRsTGJSvzXH8phR4czRRwMFPA0UwBR/N0f5spYFPKAHoyGdKUAp1XXMfz2JRM67I2McBXtR1w5WksLj2NxZvE/5suQVvi1quMKT5xNkVNp/eJW85tS5Q9mRCiYMa/U569ePECKSmZvxlS7shkMpQuXRpRUVFg8y54Zx/p6zoEKkD1XLKfi6qgsQ2VLLpoQw0XXiryfVLhOfVtzSLbl1wuz9eUBImJiVi9ejXCw8ORnJwMT09PBAUFwdnZGampqfjrr7+wfft2VKlSBUFBQdmOyNO1ouqDsm9GujJ9+nScP38e27dvz/E2ly9fRkBAAM6dOwcnJyetZdq1awcvLy9MmzYNMpkMDg4OcHJyQq9evfDNN9/g6NGjCAwMREREBMzMzAAAb9++RZUqVbBu3To0adIEP/zwA8zMzDB27FgkJCTA09MTV69e/X/t3Xl4k1X+/vE7adPSJC1lK20peynI0gKyOIiAiIKCg+CCwvxGZcBRVFxG/Q44oCiLCCoy6OiwiCDKpo7ioIKMy7DogIBsArIJhZaCpbRJ2jRt8vujNBK70I2mhPfrurjGnOfkyTntmfbJ3ZPPo3r16mnEiBH6wx/+oBtvvLFKvg7wL2eeW2m2XJ8dseeXKEizuZRXibIE9S3BamgtCGCLBrImhYeWfX/eVwcyNH714RKPT72pufrER0oqCJgP/5Kjrcdt2pacVSS4/S2CW9Qk1X1tUp5rUHbUAgAAAGUwb9487dy5U3fddZesVqtWrVqladOm6dVXX1VwcLBuueUW9e7dW0uWLNETTzyhAQMG6A9/+IO/hw1cttasWaPevXvrvvvu07fffqvo6GjdfffdGjFiRInPyczMlMFgUERERLHHc3NztWPHDj300EPeNqPRqGuuuUbff/+9pIKyBgaDQSEhId4+oaGhMhqN2rx5s3r16qW2bdvq/fffV3Z2tr7++ms1bNhQdevW1QcffKDQ0FBC2kuEx+NRljP/3M5XV7E7Yn9xVLwsgcloUFS4qUgAW7gbNspqUkiwscrm0yc+UlNvaq5Z3yT77KyNspr0aK84b0grSUaDQS3rh6ll/TDdntTggsFtljNf6w+f1frD7LgFSkNQCwAAAJTB1q1bdccdd6hPnz6SpEaNGunRRx/VsWPH1Lx5c0lSnTp19NBDD2nAgAF66623/DhaAEePHtXixYs1evRojR07Vtu3b9fEiRNlMpl0xx13FOmfk5OjqVOn6pZbbvHuhP2t9PR05efnF6lHXb9+fR04cECSdOWVV8psNmvKlCkaN26cPB6Ppk6dqvz8fJ08eVKSdOedd+rHH3/Utddeq7p16+qNN95QRkaGZs6cqRUrVmj69On6+OOP1bRpU7300kuKiYmp4q8OyiLf7VG6oyCATck8tyv2NyUKHK6KlyWwhgQpOsJU4o7Yuubgaq/z2ic+Ute0qK0dKXblmSwKdtmVGGO5YIhaenBr07bjWaUGt9aQIHVsZFGnRuHqHEdwi8sXQS0AAABQBmazWWlpad7Hp06d8rb/Vnx8vKZMmVJtYwNQlNvtVmJiosaNGydJat++vfbt26fFixcXCWpdLpfuv/9+eTweTZs2rVKvW69ePb355psaN26cFixYIKPRqMGDB6tDhw4yGgt2P5pMJk2dOtXneY899phGjhyp3bt36/PPP9fatWv1+uuva+LEiZo7d26lxoTiOfPc3jqw3hA289fasJUpS2CQVM9iUsNzO2KjI0IU/ZtA1hpaM0uCBRkN6hwXXqmPhhcb3KbnaFuyTVuLCW5tuflafzhT6w9nSiK4xeWr3EFtRkaG0tLSFB4ezl/1LjGXVV3In09KqrqPgNRU/qgNCQDA5Wrw4MGaN2+efv75Z1ksFm3btk3du3dXw4YN/T00AMWIiopSQkKCT1t8fLxWr17t01YY0iYnJ2v58uUl7qaVpLp16yooKEinT5/2aT99+rRP/cHevXtr48aNSk9PV1BQkGrXrq2OHTuqadOmxZ53w4YN2r9/v2bOnKnnn39effv2ldls1s0338zu/AoqLEuQ6lOKwOVTH/ZMduXKEjQMDynYEXvezbkaXqSyBJc6o8GglvXC1LJemG4rJrjdftymjJxfvx8Et7hclTmozcvL02uvvaaNGzd625o1a6a//OUvioqKqpLB7NmzRx9//LEOHz6sM2fO6IknnlC3bt28x1977TV9/fXXPs9JSkrS008/7X1ss9m0YMECff/99zIYDOrevbvuvfde1apVy9vn559/1vz583Xw4EFFRERowIABGjx4sM95N23apGXLlunUqVOKjo7WiBEj1LlzZ+9xj8ej5cuXa926dbLb7WrTpo1GjRpFeA0AABCgrr/+ejVu3Fhbt25Vbm6u7rvvPl199dX+HhaAEnTt2lUHDx70aTt06JDPTcIKQ9rDhw9rxYoVqlu3bqnnDAkJUWJiotavX68BAwZIKti5u379et1zzz1F+heeb/369Tp9+rSuv/76In1ycnL09NNPa86cOQoKCpLb7fbe6M/lcsntrvhH6wNZvtujX+wun5tznX/DrpNZlStLEB4adC54/XVH7PklCur4oSxBICktuN12rlzChYLbpFiLOsVZ1TkuXK0IbhEgyhzUfvbZZ9q4caNatGihdu3aKTU1VZs3b9Zrr72mSZMmVclgnE6nmjVrpr59+2rmzJnF9unYsaPGjBnjfRwc7DuF2bNn68yZM/rb3/6m/Px8vf7663rzzTf1yCOPSJIcDocmT56sDh06aPTo0Tp69Kj+8Y9/yGKxqF+/fpKkffv26dVXX9Xw4cPVuXNnrV+/XjNmzND06dPVpEkTSdJHH32kTz/9VA8++KCioqK0bNkyTZkyRS+//LJP0XgAgK/H/rXF30NAFdo4tpO/hwBUqzZt2qhNmzb+HgaAMhg9erQGDx6s2bNn6+abb9b27du1ZMkSvfjii5IKQtD77rtPO3fu1Ntvv638/HxveZPIyEjv+7o77rhDN954o+69917veR977DElJiaqc+fOevbZZ+VwODRs2DDvay9btkzx8fGqV6+evv/+e02cOFGjR49WfHx8kXHOmjVLffv2Vfv27SVJXbp00eTJkzVs2DAtXLhQXbp0uahfp5rKmecuUorg/F2xabZc5Vcwhy0sSxB9bkdskZt1WUNkqaFlCQJVccHtkcIdtyUEtxuOZGrDEYJbBJYyB7Vff/212rVrpwkTJshw7q9GH374oZYuXar09PQL/uWxLDp16qROnUp/wxccHKzIyMhijyUnJ2v79u2aNm2aWrZsKUkaOXKkpk2bpv/3//6f6tatq/Xr1ysvL09jxoxRcHCwGjdurCNHjuiTTz7xBrWrV69Wx44d9fvf/15SQaH3nTt36rPPPtN9990nj8ej1atXa+jQoeratask6aGHHtLo0aO1efNmdlYAAAAEGKfTqdDQ0Gp/LoCK69ixo+bNm6cXXnhBs2bNUuPGjTVp0iQNHTpUkpSamqo1a9ZIkm644Qaf565YsUI9evSQVPCJzPT0dO+xwYMHKz09XTNnztSpU6fUsWNHLVmyxKf0wcGDBzVt2jRlZGQoLi5OY8eO1X333VdkjHv37tWqVau0du1ab9ugQYO0adMmDR06VC1bttScOXOq7otSQ3g8HmXm5P9mN2yuUjNd3v+uTFmCkCCDN3gtbkdslNUkUxBlCWoyo8GgFvXC1KJemG5NaiDP+aUSyhDcWkKM6hhrJbjFJafMQW1aWpr69evnDWklqUePHlq6dKnS0tKqJKgtiz179mjUqFGyWCxq37697rzzTm8Nof3798tisXhDWknq0KGDDAaDDhw4oG7dumn//v264oorfHbiJiUl6aOPPpLNZpPVatX+/fs1aNAgn9dNSkrS5s2bJRV8LTIyMpSYmOg9bjabFR8fr/379xPUAgAABJgHHnhAN910k6677jrVqVOnTM9JT0/X2rVrtWbNGs2fP/8ijxBAca6//vpiyw1IUuPGjXX8+PELnuO7774r0nbvvffq3nvvlcFgKPaGS+PHj9f48eMveO42bdpow4YNPm1Go1HTpk2r9E3N/Cnf7dFpe9Gbc52/Iza7SsoSFJYiMHlrxEZHhCgyjLIEgcZQzuDWnusuMbjt1ChcrRqEKZjgFjVQmYPanJwcWSwWn7bCO9zm5VX8L13l0bFjR3Xv3l1RUVFKTU3Ve++9p6lTp2rKlCkyGo3KyMhQRESEz3OCgoJktVqVkZEhqeBmaL+tqVu4QzcjI8Pbt3bt2j59ateu7XOOwraS+hTH5XJ5aw1JBT9owsLCyjh7AAAA+MuoUaO0YsUKrVy5Uq1bt1aHDh3UokULRUVFyWKxyOPxyG63Ky0tTQcPHtTOnTv1008/KSYmRn/605/8PXwAqFI5Lvevu2DPuzlXYQh7yparfM+Fz1Mcg6T6FpO3Fuz5O2ILw1lLCGUJLnfFBbdH0nO8oe3W4zZlZJce3CbFWtWZ4BY1TJmD2prg/J2qTZo0UdOmTfXwww9r9+7d6tChgx9HVjYffvihVq5c6X3cvHlzTZ8+XWaz2VsgPjc31/vxuPNr3TqdTuXm5iosLMxnN3BOTo5cLpfMZrOCgn79ZeVwOJSfny+r1XreLmjHxZ0gql14eLg8Ho9sNpuCgoK8fzyRpPz8fDkcDplMJp+b6eXl5Sk7O1shISE+H8Ms+9pjHQUS358Rkt1ul9vtLnK346ysLBmNRp8/2FV07SGwhISEVMHvp/KtPQSWwu955X8/FSht7VVGjx49dNVVV2nLli366quv9OGHH5a4WSE4OFiJiYl6/PHH1aVLFxmNfLwWwKXD4/HobE7+ryHseTfnKghlXT4BWHmFBBmK1oQNN3kfR1lDFBxEYIbyMRgMal4vTM3rhenWxLIFtxuPZGojwS1qmHIFtW+88Ybmzp1bpH369OnFXoC+/fbbFR9ZGTRs2FDh4eFKTU1Vhw4dFBkZqczMTJ8++fn5stls3l2zkZGRRXa9Fj4+v8/Zs2d9+pw9e9bneGHb+R99O3v2rJo1a1bieIcMGeJTUqHwDarD4fDZaSsVvPlwOp1FzlFSyFHSmw+bzXbeI/7qGGiysrK8/52fn+/zuNBvd3IXys3NVW5ubpH2C6891lEg8f0Z8avi1pLb7S62vbxrD4Gl8OdI5X4//ao8aw+B4bff24r/fvJV3NqrbGBqNBrVrVs3devWTS6XS4cOHdLx48e969lqtapRo0Zq0aKFTCZTpV4LAC6WvMKyBL8NYM/bEZuTV/GyBBG1gnyD2MJdsed2xNYJC/b5Yy1wMRDc4lJV5qC2d+/eF3McFfLLL7/IZrN5w9KEhATZ7XYdOnRILVq0kCTt2rVLHo/He3fNhIQEvffee8rLy/PuvtixY4diY2NltVq9fXbu3KmBAwd6X2vHjh1q1aqVJCkqKkqRkZHauXOnN5h1OBw6cOBAkSL05zOZTFy0AwAABACTyaTWrVurdevW/h4KAPjIduV7A9fiasSetrkqXJbAaDhXluA3N+cq3BFLWQLUVMUFtz+fcWprcpa2Hbdpa7LN5wZ2vw1uzSajkhpZ1blRQZ3bhAZmgltcFGUOaseMGXMxxyGp4KNqqamp3sdpaWk6cuSIrFarrFarVqxYoe7duysyMlInT57UO++8o+joaCUlJUmS4uLi1LFjR7355psaPXq08vLytGDBAvXo0cN7s7OePXtqxYoVeuONNzR48GAdO3ZMn376qe6++27v695000169tlntWrVKnXu3FkbNmzQwYMHvXfpNBgMuummm/TBBx8oJiZGUVFRWrp0qerUqaOuXbte9K8TAAAAAODy4/F4lJGdp5O2knfEnn9DpfIKCTL41IL13qDr3I7YBhbKEiAwGAwGNatbS83q1tLQMgS3Dpdbm45kahPBLS4yg+f8W1P62e7duzVp0qQi7b1799bo0aM1Y8YMHT58WHa7XXXr1lViYqKGDRvmLUUgFXyUcv78+fr+++9lMBjUvXt3jRw50qdO4s8//6z58+fr4MGDCg8P14ABA3TLLbf4vOamTZu0dOlSnTp1SjExMRoxYoQ6d+7sPe7xeLR8+XJ98cUXcjgcatOmjf70pz8pNja23PM+depUtXw8+Luj/GUz0HRvkl/tr8k6Ciz+WEM9Zm+r9tfExbNxbKdqf03WUGCpzjVkMpnUoEGDanu9mq66rkENBoNiYmKUkpKiGvTWA6i0fLdHO1LsyjNZFOyyKzHGoqBKBjV5bo9O2Vy/Bq823xqxJ7NclSpLULtW0G9qw54fyJoUSVkCnHO5/+y+UHD7WwS3l5bqXt/luQYtc1BbUi250hSWEkDpCGpRUQS1qCyCWlQWQS0qi6DWfwhqgYr76kCGZn2TrDTbr/8firKa9GivOPWJjyzxedmufJ9asIX/Tp4LZk/ZXXJXoixBA0vBzlff3bAFNWIbhofITFkClBE/u30VBrcFoW1BeJvuuEBwG1sQ2nZuZFVCFMFtTVKTg9oylz7405/+VO6BLFu2rNzPAQAAAACgpvrqQIbGrz5cpD3N5tL41Yc15upYNaodWuyO2LM5Ff8jeWiw4bzgteiO2AZWE0EQcJGcXyphSIf6FwxuHS63Nv2cqU0/n1cqgeAWZVDmoPbWW2/1+QiE0+nUqlWrdM0116hhw4YXZXAAAAAAANQU+W6PXvkmudQ+r284UaFzR9YKVsNztWB9ShKce1y7VhBlCYAaguAWF0uZg9o77rjD53FWVpZWrVqlPn36qH379lU+MAAAAAAA/C3H5daPJ+3akWLXfw+d1Slb+UuGBBmk+lZTsTtiC0sThJkoSwBcqooLbo9mOLUt2aatx7O0LdmmXy4Q3CbGWtSpUbg6x1nVmuD2slXmoBYAAADAr06fPq0PPvhAu3fvVmZmpp588km1bdtWmZmZWrlypa699lo1b97c38MEUE6n7S7tOGHTzpSCcHb/KYfyy3n/rutaRapn89reQLa+hbIEwOXEYDCoaZ1aalqnlm4pY3D77c9Z+vbnLEnFBLcNzAoO4mfI5YCgFgAAACin5ORkTZw4UR6PR/Hx8UpNTZXbXZDkREREaN++fXI6nXrggQfKfe709HS988472r59u5xOp6KjozVmzBi1bNlSeXl5Wrp0qbZt26a0tDSZzWZ16NBBw4cPV926dat6mkDAy3d7dDg9RztO2LQjxa5dKXadyMyt9HmHdKivznHhVTBCAIGA4BZlRVALAAAAlNM777wji8WiKVOmSJJGjx7tc7xTp07atGlTuc9rs9k0YcIEtWvXTuPHj1dERIRSUlJksVgkSbm5uTp8+LBuvfVWNWvWTDabTQsXLtSLL76oF154ofITAwKcIzdfe046vMHs7lS77Lmlb5dtXreW2sdYlBhjUftos8b+62Cp5Q+irCYlxVqreugAAkhxwe2xDKe2HrcVhLfJWaUGt2EmoxJjLOdq3IarTRTBbaAgqAUAAADK6ccff9Stt96qiIgIZWVlFTlev359paenl/u8H330kerVq6cxY8Z426Kiorz/bTabNWHCBJ/njBw5UuPHj9fp06dVv379cr8mEMhOZuVqR4pdO1Ps2nnCpgOns5XvKbl/SJBBbRtalBhrUYeYgn8RtXzfNj/WK07jVx8u8RyP9opTEGUOAJSDwWBQkzq11KROLd3Svmhwu+14lk7bfw1us11ufXc0S98dzZKUEpDBbUpKiqZOnar//Oc/ysnJUbNmzfTyyy8rKSlJkrR69WotXrxYO3bsUEZGhj7//PML3kPrtttuK/YP6X379tXixYslSR6PRzNnztS7776rzMxMdenSRdOmTVOLFi0kSU6nU0888YTWrFmjBg0aaOrUqerVq5f3XP/4xz90/PhxTZ48uULzLnNQ+8knn/g8djqdkqRNmzbpyJEjxT5n0KBBFRoUAAAAUJO53W6FhoaWeDwzM1PBweXfE7FlyxYlJSXp5Zdf1p49e1S3bl3dcMMN6tevX4nPcTgcMhgMMpvNxR53uVxyuX7d/WcwGBQWFlbusQE1XZ7bo4Ons8/VlrVp5wm7Tl7gxl/1zMHqEGNVYmzBjtlWDcJkCjKW+pw+8ZGaelNzzfomWWnnnT/KatKjveLUJz6yKqYD4DJ2uQe3GRkZuuWWW9SjRw+98847qlevng4fPqzatWt7+zgcDnXr1k0333yznnzyyTKdd+7cuXK5XDIYDGrYsKH27t2rfv36+eSXr7/+uhYsWKBZs2apcePGmjFjhkaMGKEvv/xStWrV0pIlS7Rz5059/PHH+vLLL/XQQw/phx9+kMFg0NGjR7VkyRJ9+umnFZ57ma8eC5Pl3/riiy9KfA5BLQAAAAJRixYttHXrVvXv37/Isfz8fG3cuFEJCQnlPm9aWprWrl2rgQMHasiQITp48KDeeustBQcHq0+fPkX65+bmasmSJbr66qtLDGo//PBDrVy50vu4efPmmj59usxms7eubm5urpxOp0JDQxUSEuLt63Q6lZubq7CwMJ/gOScnRy6XS2azWUFBv96p3uFwKD8/X1arVQZD0TeE4eG+NTuzsrJkNBq9pR2kgp0sNptNQUFBPnPKz8+Xw+GQyWRSrVq1vO15eXnKzs5WSEiIT3h+sedkt9vldruZkx/n5HB5tPNEprYdy9T3P5/R7lS7HK6SyxgYJMVHWdQpLkJt6ocoqVG4WsXU8X4NyjOnmzuF64Z20fru0GnlmSwKD3arc+PaCjIa+D4xp4CYU+HvB6v11zIel/qcLvXvU5tGddWuSQP9v3Nj2XfijDYfPatdJ3O0+eezOmX7tb52ScFt57hw9WgVpXYxVpmCjH6fU0nfp7lz56px48aaN2+e9/vUpEkTn+/Tvffeq6ysLB0/flySZLFYFB4eXuqcJHnnFB4eroULFyosLEw333yzQkJCFBISovnz5+upp57S73//ezmdTr3xxhu64oor9PXXX+u2227ToUOHdMMNN6hjx45q166dnn/+eeXm5spqtWrcuHF67rnnFBsb6zOn8ihzUDtnzpxynRgAAAAIVLfccoteeOEFzZ07V1dffbWkgt0fO3bs0Icffqjjx49r5MiR5T6v2+1Wy5YtNXz4cEkFoerRo0e1du3aIkFtXl6eXnnlFUnSqFGjSjznkCFDfDZQFL5BdTgcPjttpYI3VIWfnDtfdnZ2secu6c2HzWbzeb3CN1bFlYlwu93Ftufn5xfb/tsdwoVyc3OVm1v0JlAXY07nY07VMyePx6PUrFztOGE/V8rApoOnc1RKFQOFmYxq29CsxFirOkRb1C7GrPBQ37fAxX0NyjOnznHhiomJUUpKihx233Ndjt+n32JOl+6cCn9X2Gw2eTy+/0+7VOckBdb3qVGESY3a19ct7SWPp5GSzzq1NdmmbccLatyWtOP2HxtPKMxkVIcYizo3sqpTXLiuiDIrP9//cyr073//W71799Zdd92lb7/9VtHR0br77rs1YsSIIn0L/6hgt9t9vi+lfZ/y8vIUHh6ut99+W4MHD5bZbFZubq5++uknnTx5Ul27dvXOIzQ0VJ06ddKGDRvUv39/tW7dWu+//77S09P19ddfq2HDhgoJCdGyZcsUGhqqvn37Fnldo7H0T2qcr8xBbYMGDcp8UgAAACCQderUSQ8++KDeeust7yfM/v73v0uSwsLC9OCDD6pt27blPm+dOnUUFxfn0xYXF6fvvvvOp60wpD19+rQmTpxY4m5aqWDniMlkKvdYAH/Ky/do/2mHdnqDWbtO20svYxBlNXnryibGWhVfP0zB1IoFcBkwGAxqHFlLjSNrafC5Ugm+wa3N52dotsut/x3N0v/O23H72+DWn6USjh49qsWLF2v06NEaO3astm/frokTJ8pkMumOO+6oktf43//+p71792rmzJnetrS0NElFM9D69et7j91555368ccfde2116pu3bp64403lJGRoZkzZ2rFihWaPn26Pv74YzVt2lQvvfSSYmJiyjWuchXOysjI0FdffaW0tDSFh4ere/fu3mK6AAAAwOWkV69e6tatm3bs2KHU1FS53W5FR0crKSmpwjVgW7durRMnTvi0nThxwucNQ2FIm5qaqmeeeabIxzWBS1FmTp52pdq144Rdu1Ls2nPSoZy8kssYGA1Sy3ph3pt+JcZaFR0eUmJ/ALicVDa4rRVsVGKs/4Jbt9utxMREjRs3TpLUvn177du3T4sXL66yoHb+/Pm64oor1KlTp3I9z2QyaerUqT5tjz32mEaOHKndu3fr888/19q1a/X6669r4sSJmjt3brnOX+agNi0tTePGjfPZJv7RRx/poYceUs+ePcv1ogAAAMClyul06oEHHtAtt9yi3//+9+rWrVuVnXvgwIGaMGGCPvjgA/Xo0UMHDhzQunXrdN9990kqCGlffvllHT58WP/3f/8nt9utjIwMSQV1BCtyAzOgunk8Hh0/m6sdKTbtOFGwW/Zwek6pzzGbjGoXbfHe9KtttEWWkKBSnwMAKFBccHv8bK62JmdpazHBbU5e0eC2Q4xFneOs6hxnVZso8wVvvFgZUVFRRWr9x8fHa/Xq1VVyfofDoaVLl+qJJ54o8rqSdOrUKTVs2NDbfvr0abVr167Yc23YsEH79+/XzJkz9fzzz6tv374ym826+eab9dZbb5V7bGW+klu+fLlycnJ07733qn379kpNTdVbb72lt99+Wz169ChXvQUAAADgUhUaGqqgoCCfm2hUlfj4eD3xxBN699139f777ysqKkp33323rrnmGklSenq6tmzZIkl66qmnfJ77zDPPlPgmAvCn3Dy39p3K1s4Um3aeK2OQ7sgr9TnR4SG/7paNsahFvTAFUcYAAKqEwWBQXGSo4iJD9ftigtttyTad+k1wu/lYljYfK6i9erGD265du+rgwYM+bYcOHVKjRo2q5PyrVq2S0+nU0KFDfdqbNGmiqKgorV+/Xu3bt5dUUL9427Zt+uMf/1jkPDk5OXr66ac1Z84cBQUFye12e2v6ulwub/3c8ihzULtv3z7169dPAwYMkFRQK8toNGr69Ok6fvy4GjduXO4XBwAAAC5F3bt317fffqsbbrjB5+7RVeHKK6/UlVdeWeyxqKgoLV++vEpfD6hqGdl52pVi145zweyPJx3KzS/5tl9BBqlVA7N3t2yHGIsaWCljAADVpaYFt6NHj9bgwYM1e/Zs3Xzzzdq+fbuWLFmiF1980dvnzJkzOn78uE6ePClJ3mA3KirKuzN27NixiomJ8ZZQKPTee+/plltuUd26dX1ulmcwGDRq1CjNnj1bLVq0UOPGjTVjxgw1bNhQ/fv3LzLOWbNmqW/fvt5Qt0uXLpo8ebKGDRumhQsXqkuXLuWee5mD2tOnT6t58+Y+bYX1aYu7ixoAAAAQqHr06KH58+dr0qRJuu6669SgQQOFhBQNlrifAwKdx+PR0QznuZt+2bQjxa6jZ4re8ft81pCggpt+xVrUIdqittFmhZkoYwAANUVJwW1Bfdssbb1AcBsabFBijFWd4qzq3MiqKxqWL7jt2LGj5s2bpxdeeEGzZs1S48aNNWnSJJ8dsGvWrNHjjz/ufTxmzBhJ0uOPP66//OUvkgrq/P+2AsCBAwf0v//9T5MnTy72tceMGSOHw6GnnnpKmZmZ6tq1q9555x3VqlXLp9/evXu1atUqrV271ts2aNAgbdq0SUOHDlXLli01Z86cMs+5kMFzfnRcimHDhunhhx/2qUeblZWlUaNGacKECd70GOV36tQp79boi+m7o1z8BJruTfKr/TVZR4HFH2uox+xt1f6auHg2ji1f8f2qwBoKLNW5hkwmU5G7+FbUsGHDytRv2bJlVfJ6F0N1XYMaDAbFxMQoJSVFZXzrgRrMmefW3jTHudqyBTtmz+aUfj3RqHaIEmOs3nC2ed1aMlbxTnR/YX0jULG2UZoLBbe/VdngtqpV9/ouzzVoue42cPDgQZlMJu/j7OxsSQUpst1uL9K/e/fu5Tk9AAAAcEl44IEH/D0EoFqkO1zamWLXjnM7ZvelZSvPXfKb2mCjQa2jws7Vli0IZ+tZTCX2BwBces7fcXtzu3pFgtttx21Ks/0a3DrzPFW64zaQlSuoXb16dbF3WFuxYkWx/WvyDgIAAACgovr06ePvIQBVzu3x6Eh6jnak2LXzRMFNv5LPll7GIKJWkDpEF+yUTYwpeLMdGsybbQC4nBQX3J7IzNW2ZJu2Hi/YcXuh4LZDjEWdGoWrc5xVbS/j4LbMQe0zzzxzMccBAAAAAKhGOS639py0FwSzKXbtSrEry1l6GYMmkaHeULZDjEVN6oQGTBkDAEDVMBgMalQ7VI1qh2pQGYPbLcds2nLMJqlocHtFlFkhl8kfAcsc1LZt2/ZijgMAAAC4pOTm5uq7777T4cOH5XA45Ha7fY4bDAZKJKBGOWVzeevK7kixa/8ph/LdJfcPCTKoTZTZJ5iNDCvXhzIBALhgcLst2aaTBLeSyln6AAAAAEDBjbgmTZqkU6dOyWw2y+FwyGq1egPb8PDwIncHBqpTvtujQ79ke0PZnSl2pWTmlvqcyLBgJcZYlBhrUYcYi1o3CNw3wgAA/ykuuE3JzNXW47aC8DY5q9TgNiSoILjtHBeuTo0KSiUEyu+rMgW1//znP3XLLbcoKiqqXCdPTU3Vxx9/rPvuu69CgwMAAABqosWLF8vhcGjKlCmKiorS6NGj9dhjj6l169b69NNP9dlnn+npp5/29zBxGXHk5mvPSYd2nLBpR4pdu1PtsueWsl1WUvO6tdQhpiCUTYy1KK52qAyUMQAAVDODwaDY2qGKrR2qQW0vHNzm5nv0fbJN3yeXP7jNd3u0I8WmvJNuBbvsSoyxKMhYc373lSmo/eWXX/TII4+oQ4cO6tGjh9q3b6/69esX2zctLU07d+7Upk2btHv3biUmJlbpgAEAAAB/2717t2644QbFx8fLZit4k+DxeGQymfT73/9eycnJWrhwocaNG+fnkSJQnczKPXfTr4Jg9sDpbLk9JfcPDTaobUOLN5jtEGNRRC0+YAkAqHkuGNwez9LJrPIHt18dyNCsb5J96uNGWU16tFec+sRHVvc0i1Wm38zjxo3T3r17tWrVKr355pvej3M1aNBAVqtVHo9HdrtdaWlpstlsMhqN6tSpk5555hm1adPmYs8BAAAAqFZOp9P7abOwsDBJksPh8B5PSEjQ4sWL/TK28kpJSdHUqVP1n//8Rzk5OWrWrJlefvllJSUlSZJWr16txYsXa8eOHcrIyNDnn3+u9u3bl/n8//rXvzRmzBj1799fCxYs8LZ7PB7NnDlT7777rjIzM9WlSxdNmzZNLVq0kFTwNX7iiSe0Zs0aNWjQQFOnTlWvXr28z//HP/6h48ePa/LkyVX0lai58tweHTydrR0pdu04UVBj9vw3mcWpZw5WhxirEmMtSoyxqFWDsMv2DtoAgEvbb4NbSUrJdGprsk3bjtv0ffKFg9u4yFAd+iWnyLnTbC6NX31YU29qXiPC2jL/CbVNmzZq06aNMjMz9f3332v//v06ceKEfvnlF0lSeHi4unXrpoSEBHXu3Fm1a9e+aIMGAAAA/Kl+/fre6+CgoCDVrVtXP/30k7p37y5JSk5OVkhIiD+HWCYZGRm65ZZb1KNHD73zzjuqV6+eDh8+7HMt73A41K1bN91888168skny3X+Y8eO6fnnn9c111xT5Njrr7+uBQsWaNasWWrcuLFmzJihESNG6Msvv1StWrW0ZMkS7dy5Ux9//LG+/PJLPfTQQ/rhhx9kMBh09OhRLVmyRJ9++mmlvwY1kc2Zr12pBXVld6bYtDvVoWxXyWUMDJJa1KulxNiCG34lxlgUExFCGQMAQMCKiQjVwLahGljG4La4kPZ8s75J1jUtavu9DEK5P+sSERGha6+9Vtdee+3FGA+AGu6xf23x9xBQhTaO7eTvIQDAJal9+/basmWLbr/9dklSnz599K9//Us2m00ej0fffPONevfu7edRXtjrr7+u2NhYvfLKK962Jk2a+PS57bbbJBWEruWRn5+vhx56SH/5y1+0c+dOpaameo95PB7NmzdPjzzyiPr37y9JevXVV9WxY0d9/vnnGjx4sH766SfdcMMNat26tZo0aaLnn39e6enpqlevnsaNG6enn35a4eHhFZ16jVH4cc7CG37tTLHp4OkclVLFQGEmo9o2NHuD2XbRZoWHUsYAAHD5Ki243XQkU2ey80p9fprNpR9O2NQ5zr/XFvw2BwAAAMrplltu0YEDB+RyuWQymTRkyBCdOXNG3333nYxGo3r27Kk//vGP/h7mBa1Zs0a9e/fWfffdp2+//VbR0dG6++67NWLEiEqf+5VXXlH9+vU1fPjwIrV6jx49qrS0NPXs2dPbFhERoU6dOun777/X4MGD1bZtW73//vvKzs7W119/rYYNG6pu3br64IMPFBoaqhtvvLHSY/SHvHyP9p9yaGeK/Vw4a9Npe+lvHqOspnM3/LIqMcailvXDFFyDbnwCAEBNc35wu2Zfup79/OcLPue0vfSyQtWBoBYAAAAop/r16/vcXDckJET333+/7r//fj+OqvyOHj2qxYsXa/To0Ro7dqy2b9+uiRMnymQy6Y477qjwef/3v//pvffe09q1a4s9npaWJklq0KCBT3v9+vW9x+688079+OOPuvbaa1W3bl298cYbysjI0MyZM7VixQpNnz5dH3/8sZo2baqXXnpJMTExFR7vxZSZk6ddqXbtOFGwY3bPSbuceSXvlzUapPj6YUqMsaj9uXA2Orzml9EAAKCmqm8xVWm/i4mgFgAAALhMud1uJSYmene8tm/fXvv27dPixYsrHNTabDaNHTtWM2bMUN26dSs8NpPJpKlTp/q0PfbYYxo5cqR2796tzz//XGvXrtXrr7+uiRMnau7cuRV+rari8Xh0/GyudqTYvMHs4fTSa+KZTUa1j7F4a8u2jbbIEhJUTSMGACDwJcVaFWU1lXojziirSUmx1mocVfEIagEAAIAKsNls2rBhg06ePCm73S6Px3eXpMFg0AMPPOCn0ZVNVFSUEhISfNri4+O1evXqCp/zyJEjOnb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+ }, + "metadata": {} } - ] + ] + }, + { + "cell_type": "markdown", + "source": "### Key Insight — Q4\n\nThe Philippines' share of consolidated revenue is remarkably flat — **61.4% to 62.5%** across all four years, never moving by more than ~1 point. In other words, international operations aren't diluting or displacing the PH business; they're scaling in step with it. For a \"growth\" narrative, this says JFC's expansion strategy has been additive (grow both markets together) rather than a pivot toward international as the next growth engine.", + "metadata": {} + }, + { + "cell_type": "markdown", + "source": "## Q5: How much of JFC's reported revenue growth is real, and how much is just food-price inflation?\n\nSections 1–4 all worked in *nominal* PHP — revenue as reported, unadjusted. But the dataset was built with `food_cpi_ph` specifically to answer this question: since Jollibee sells food, food-price inflation inflates peso revenue even if the company isn't selling any more meals or opening any more stores. Deflating annual revenue by the food CPI index (rebased to 2021) separates genuine volume/expansion growth from price-level growth.", + "metadata": {} + }, + { + "cell_type": "code", + "source": "# Q5 — Nominal vs. Real (Inflation-Adjusted) Revenue Growth\n\nannual_cpi = df[df['year'] < 2025].groupby('year')['food_cpi_ph'].mean().round(3)\n\nq5_df = pd.DataFrame({'Year': [2021, 2022, 2023, 2024]})\nq5_df['Nominal Revenue (PHP M)'] = q5_df['Year'].map(annual_rev)\nq5_df['Avg Food CPI'] = q5_df['Year'].map(annual_cpi)\nq5_df['CPI Index (2021=1.00)'] = (q5_df['Avg Food CPI'] / q5_df['Avg Food CPI'].iloc[0]).round(3)\nq5_df['Real Revenue (2021 PHP M)'] = (q5_df['Nominal Revenue (PHP M)'] / q5_df['CPI Index (2021=1.00)']).round(2)\nq5_df['Nominal Growth (%)'] = q5_df['Nominal Revenue (PHP M)'].pct_change().mul(100).round(2)\nq5_df['Real Growth (%)'] = q5_df['Real Revenue (2021 PHP M)'].pct_change().mul(100).round(2)\n\nprint(\"=== Q5: Nominal vs. Real Revenue Growth ===\")\nprint(q5_df.to_string(index=False))", + "metadata": {}, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": "fig, ax = plt.subplots(figsize=(9, 5))\nfig.suptitle('Q5: Nominal vs. Real Revenue Growth (Food-CPI Adjusted)', fontsize=13, fontweight='bold')\n\ngrowth_df = q5_df.dropna(subset=['Nominal Growth (%)'])\nx = np.arange(len(growth_df))\nwidth = 0.35\n\nax.bar(x - width/2, growth_df['Nominal Growth (%)'], width, label='Nominal Growth', color='#1f77b4')\nax.bar(x + width/2, growth_df['Real Growth (%)'], width, label='Real Growth (CPI-adjusted)', color='#ff7f0e')\n\nax.set_xticks(x)\nax.set_xticklabels(growth_df['Year'].astype(str) + ' vs ' + (growth_df['Year'] - 1).astype(str))\nax.set_ylabel('YoY Growth (%)')\nax.axhline(0, color='black', linewidth=0.8)\nax.legend()\nax.grid(axis='y', linestyle='--', alpha=0.5)\n\nfor i, (nom, real) in enumerate(zip(growth_df['Nominal Growth (%)'], growth_df['Real Growth (%)'])):\n ax.annotate(f'{nom:.1f}%', (x[i] - width/2, nom), ha='center', va='bottom', fontsize=8)\n ax.annotate(f'{real:.1f}%', (x[i] + width/2, real), ha='center', va='bottom', fontsize=8)\n\nplt.tight_layout()\nplt.savefig('q5_real_vs_nominal.png', dpi=150, bbox_inches='tight')\nplt.show()", + "metadata": {}, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": "### Key Insight — Q5\n\nThe gap between the two bars each year is the part of revenue growth that's just food prices rising, not JFC selling more. When that gap is wide, headline nominal growth (the number that leads press releases) overstates the business's actual expansion; when it narrows, growth is closer to \"real.\" This is the one place in the notebook where the macro variable collected at the start (food CPI) actually gets used — pairing it with revenue is what turns \"revenue went up\" into \"revenue went up *for what reason*,\" and it's the clearest link back to why the BSP/PSA data sources were gathered in the first place.", + "metadata": {} + } + ] } \ No newline at end of file