Marketing_campaign_analysis.ipynb

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        "**Part 1: Data Exploration**\n",
        "---\n",
        "\n",
        "**1. Loading the Dataset: Load the dataset into a Pandas DataFrame and display the first few rows.**\n"
      ]
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          "text": [
            "Saving marketing_campaign (1).csv to marketing_campaign (1).csv\n",
            "First few rows of the dataset:\n",
            "\n",
            "     ID  Year_Birth   Education Marital_Status   Income  Kidhome  Teenhome  \\\n",
            "0  5524        1957  Graduation         Single  58138.0        0         0   \n",
            "1  2174        1954  Graduation         Single  46344.0        1         1   \n",
            "2  4141        1965  Graduation       Together  71613.0        0         0   \n",
            "3  6182        1984  Graduation       Together  26646.0        1         0   \n",
            "4  5324        1981         PhD        Married  58293.0        1         0   \n",
            "\n",
            "   Recency  MntWines  MntFruits  MntMeatProducts  MntFishProducts  \\\n",
            "0       58       635         88              546              172   \n",
            "1       38        11          1                6                2   \n",
            "2       26       426         49              127              111   \n",
            "3       26        11          4               20               10   \n",
            "4       94       173         43              118               46   \n",
            "\n",
            "   MntSweetProducts  MntGoldProds  NumDealsPurchases  NumWebPurchases  \\\n",
            "0                88            88                  3                8   \n",
            "1                 1             6                  2                1   \n",
            "2                21            42                  1                8   \n",
            "3                 3             5                  2                2   \n",
            "4                27            15                  5                5   \n",
            "\n",
            "   NumCatalogPurchases  NumStorePurchases  NumWebVisitsMonth  Revenue  \n",
            "0                   10                  4                  7       39  \n",
            "1                    1                  2                  5       30  \n",
            "2                    2                 10                  4      338  \n",
            "3                    0                  4                  6       79  \n",
            "4                    3                  6                  5       89  \n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "file_path = 'marketing_campaign.csv'\n",
        "\n",
        "from google.colab import files\n",
        "uploaded = files.upload()\n",
        "\n",
        "# Read the CSV file into a DataFrame\n",
        "df = pd.read_csv(file_path)\n",
        "\n",
        "# Display the first few rows of the DataFrame\n",
        "print(\"First few rows of the dataset:\\n\")\n",
        "print(df.head())"
      ]
    },
    {
      "cell_type": "code",
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      "metadata": {
        "id": "v6UBisjh8xaJ"
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      "source": []
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4TVMf_8XYWbw"
      },
      "source": [
        "**1. Customer Demographics:**\n",
        "\n",
        "The dataset contains information about customers' birth years, education levels, marital status, and incomes. This demographic data provides valuable insights into the customer base.\n",
        "\n",
        "**2. Family Composition:**\n",
        "\n",
        "A significant portion of customers have children at home, with variables indicating the number of kids and teenagers in the household. This suggests a family-oriented customer base.\n",
        "\n",
        "**3. Spending Patterns:**\n",
        "\n",
        "Customers exhibit diverse spending patterns, as indicated by the varying amounts spent on different product categories (e.g., wines, fruits, meat products, etc.). This suggests a wide range of preferences among the customers.\n",
        "\n",
        "**4. Purchase Channels:**\n",
        "\n",
        "The dataset includes information about the number of deals, web purchases, catalog purchases, store purchases, and web visits. This indicates that customers utilize multiple channels for their purchases, highlighting a multichannel shopping behavior.\n",
        "\n",
        "**5. Revenue Data:**\n",
        "\n",
        "The 'Revenue' column represents the total revenue generated from these customers. This could be a key metric for understanding the overall profitability of the customer base.\n",
        "\n",
        "**6. Education and Income Impact:**\n",
        "\n",
        "Further analysis could explore how education levels and income correlate with spending. Customers with higher education and income levels might have different purchasing behaviors compared to others.\n",
        "\n",
        "**7. Marital Status Influence:**\n",
        "\n",
        "Examining spending patterns based on marital status could reveal interesting insights. For instance, married customers might spend differently than single or cohabiting customers.\n",
        "\n",
        "**8. Recency and Frequency:**\n",
        "\n",
        "The 'Recency' column represents how recently customers made a purchase. Combining this with the frequency of purchases (e.g., number of deals, web purchases) could provide insights into customer engagement and loyalty."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jScqHXkubSog"
      },
      "source": [
        "**2. Data Types and Missing Values: Identify the data types of each column and handle missing values if any.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eN_leF45al4-",
        "outputId": "e6c1fefd-813e-4da2-8491-7787a5aa9616"
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          "text": [
            "\n",
            "Data Types and Missing Values:\n",
            "\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2240 entries, 0 to 2239\n",
            "Data columns (total 20 columns):\n",
            " #   Column               Non-Null Count  Dtype  \n",
            "---  ------               --------------  -----  \n",
            " 0   ID                   2240 non-null   int64  \n",
            " 1   Year_Birth           2240 non-null   int64  \n",
            " 2   Education            2240 non-null   object \n",
            " 3   Marital_Status       2240 non-null   object \n",
            " 4   Income               2240 non-null   float64\n",
            " 5   Kidhome              2240 non-null   int64  \n",
            " 6   Teenhome             2240 non-null   int64  \n",
            " 7   Recency              2240 non-null   int64  \n",
            " 8   MntWines             2240 non-null   int64  \n",
            " 9   MntFruits            2240 non-null   int64  \n",
            " 10  MntMeatProducts      2240 non-null   int64  \n",
            " 11  MntFishProducts      2240 non-null   int64  \n",
            " 12  MntSweetProducts     2240 non-null   int64  \n",
            " 13  MntGoldProds         2240 non-null   int64  \n",
            " 14  NumDealsPurchases    2240 non-null   int64  \n",
            " 15  NumWebPurchases      2240 non-null   int64  \n",
            " 16  NumCatalogPurchases  2240 non-null   int64  \n",
            " 17  NumStorePurchases    2240 non-null   int64  \n",
            " 18  NumWebVisitsMonth    2240 non-null   int64  \n",
            " 19  Revenue              2240 non-null   int64  \n",
            "dtypes: float64(1), int64(17), object(2)\n",
            "memory usage: 350.1+ KB\n",
            "None\n",
            "\n",
            "Missing Values:\n",
            "\n",
            "ID                     0\n",
            "Year_Birth             0\n",
            "Education              0\n",
            "Marital_Status         0\n",
            "Income                 0\n",
            "Kidhome                0\n",
            "Teenhome               0\n",
            "Recency                0\n",
            "MntWines               0\n",
            "MntFruits              0\n",
            "MntMeatProducts        0\n",
            "MntFishProducts        0\n",
            "MntSweetProducts       0\n",
            "MntGoldProds           0\n",
            "NumDealsPurchases      0\n",
            "NumWebPurchases        0\n",
            "NumCatalogPurchases    0\n",
            "NumStorePurchases      0\n",
            "NumWebVisitsMonth      0\n",
            "Revenue                0\n",
            "dtype: int64\n"
          ]
        }
      ],
      "source": [
        "# Data Types and Missing Values\n",
        "print(\"\\nData Types and Missing Values:\\n\")\n",
        "print(df.info())\n",
        "\n",
        "# Another way to find the missing values\n",
        "missing_values = df.isnull().sum()\n",
        "print(\"\\nMissing Values:\\n\")\n",
        "print(missing_values)\n",
        "\n",
        "# No missing values seen, so handling the missing values is not needed for this dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gy5PxEADZrcZ"
      },
      "source": [
        "\n",
        "The dataset comprises 2240 entries, with no missing values, ensuring comprehensive data coverage, while the columns exhibit a mix of numerical and categorical data types, providing a rich context for analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uri7sFkYbeti"
      },
      "source": [
        "**3. Summary Statistics: Provide summary statistics for relevant columns.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "jEjObi2XbdRz",
        "outputId": "a71bf813-817b-492e-bd75-ec04759f9dd5"
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      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Summary Statistics:\n",
            "\n",
            "                 ID   Year_Birth         Income      Kidhome     Teenhome  \\\n",
            "count   2240.000000  2240.000000    2240.000000  2240.000000  2240.000000   \n",
            "mean    5592.159821  1968.805804   52237.975446     0.444196     0.506250   \n",
            "std     3246.662198    11.984069   25037.955891     0.538398     0.544538   \n",
            "min        0.000000  1893.000000    1730.000000     0.000000     0.000000   \n",
            "25%     2828.250000  1959.000000   35538.750000     0.000000     0.000000   \n",
            "50%     5458.500000  1970.000000   51381.500000     0.000000     0.000000   \n",
            "75%     8427.750000  1977.000000   68289.750000     1.000000     1.000000   \n",
            "max    11191.000000  1996.000000  666666.000000     2.000000     2.000000   \n",
            "\n",
            "           Recency     MntWines    MntFruits  MntMeatProducts  \\\n",
            "count  2240.000000  2240.000000  2240.000000      2240.000000   \n",
            "mean     49.109375   303.935714    26.302232       166.950000   \n",
            "std      28.962453   336.597393    39.773434       225.715373   \n",
            "min       0.000000     0.000000     0.000000         0.000000   \n",
            "25%      24.000000    23.750000     1.000000        16.000000   \n",
            "50%      49.000000   173.500000     8.000000        67.000000   \n",
            "75%      74.000000   504.250000    33.000000       232.000000   \n",
            "max      99.000000  1493.000000   199.000000      1725.000000   \n",
            "\n",
            "       MntFishProducts  MntSweetProducts  MntGoldProds  NumDealsPurchases  \\\n",
            "count      2240.000000       2240.000000   2240.000000        2240.000000   \n",
            "mean         37.525446         27.062946     44.021875           2.325000   \n",
            "std          54.628979         41.280498     52.167439           1.932238   \n",
            "min           0.000000          0.000000      0.000000           0.000000   \n",
            "25%           3.000000          1.000000      9.000000           1.000000   \n",
            "50%          12.000000          8.000000     24.000000           2.000000   \n",
            "75%          50.000000         33.000000     56.000000           3.000000   \n",
            "max         259.000000        263.000000    362.000000          15.000000   \n",
            "\n",
            "       NumWebPurchases  NumCatalogPurchases  NumStorePurchases  \\\n",
            "count      2240.000000          2240.000000        2240.000000   \n",
            "mean          4.084821             2.662054           5.790179   \n",
            "std           2.778714             2.923101           3.250958   \n",
            "min           0.000000             0.000000           0.000000   \n",
            "25%           2.000000             0.000000           3.000000   \n",
            "50%           4.000000             2.000000           5.000000   \n",
            "75%           6.000000             4.000000           8.000000   \n",
            "max          27.000000            28.000000          13.000000   \n",
            "\n",
            "       NumWebVisitsMonth      Revenue  \n",
            "count        2240.000000  2240.000000  \n",
            "mean            5.316518    96.108036  \n",
            "std             2.426645    96.118474  \n",
            "min             0.000000    30.000000  \n",
            "25%             3.000000    30.000000  \n",
            "50%             6.000000    44.000000  \n",
            "75%             7.000000   137.000000  \n",
            "max            20.000000   527.000000  \n"
          ]
        }
      ],
      "source": [
        "# Summary Statistics for relevant columns\n",
        "print(\"\\nSummary Statistics:\\n\")\n",
        "print(df.describe())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zt8muyR5bnzX"
      },
      "source": [
        "**Task 1.1: Use the groupby function to:\n",
        "Find the average income of customers based on their education level.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "outputs": [
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          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average income of customers based on education level:\n",
            "\n",
            "Education\n",
            "2n Cycle      47688.583744\n",
            "Basic         20306.259259\n",
            "Graduation    52707.305679\n",
            "Master        52896.777027\n",
            "PhD           56096.303498\n",
            "Name: Income, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "# Task 1.1: Average income of customers based on education level\n",
        "average_income_by_education = df.groupby('Education')['Income'].mean()\n",
        "print(\"\\nAverage income of customers based on education level:\\n\")\n",
        "print(average_income_by_education)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vyu_u84daF0n"
      },
      "source": [
        "Customers with different education levels demonstrate varying average incomes: those with PhDs and Masters degrees tend to have higher incomes, averaging around \\$56,000 to \\$53,000, while Graduates earn approximately \\$52,700.  \n",
        "\n",
        "Customers with 2nd Cycle education fall in between with an average income of \\$47,688.\n",
        "\n",
        "Basic education level shows the lowest average income at around \\$20,306\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z_robsXKbu3x"
      },
      "source": [
        "**Task 1.2: Calculate the average amount spent on wines and meat products grouped by marital status.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average amount spent on wines and meat products grouped by marital status:\n",
            "\n",
            "                  MntWines  MntMeatProducts\n",
            "Marital_Status                             \n",
            "Absurd          355.500000       312.500000\n",
            "Alone           184.666667        26.333333\n",
            "Divorced        324.844828       150.206897\n",
            "Married         299.480324       160.681713\n",
            "Single          288.331250       182.108333\n",
            "Together        306.825862       168.103448\n",
            "Widow           369.272727       189.285714\n",
            "YOLO            322.000000        50.000000\n"
          ]
        }
      ],
      "source": [
        "# Task 1.2: Average amount spent on wines and meat products grouped by marital status\n",
        "average_spending_by_marital_status = df.groupby('Marital_Status')[['MntWines', 'MntMeatProducts']].mean()\n",
        "print(\"\\nAverage amount spent on wines and meat products grouped by marital status:\\n\")\n",
        "print(average_spending_by_marital_status)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wqC6xbfFbg_t"
      },
      "source": [
        "The average spending patterns on wines and meat products vary significantly based on marital status. Widowed customers tend to have the highest average expenditure on both wines, approximately \\$369, with meat products around \\$189. Absurd and YOLO categories also show notably high wine spending, at \\$355 and \\$322 respectively. Conversely, Alone and YOLO categories spend the least on meat products, indicating diverse preferences within different marital statuses"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AVTShRMFbz0P"
      },
      "source": [
        "**Task 2: Use pd.crosstab to:\n",
        "Examine the distribution of customers based on education and marital status.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DdXVdRWFb2gL",
        "outputId": "614bc346-dd74-4c98-8ea2-bb03493f7b0f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Distribution of customers based on education and marital status:\n",
            "\n",
            "Marital_Status  Absurd  Alone  Divorced  Married  Single  Together  Widow  \\\n",
            "Education                                                                   \n",
            "2n Cycle             0      0        23       81      37        57      5   \n",
            "Basic                0      0         1       20      18        14      1   \n",
            "Graduation           1      1       119      433     252       286     35   \n",
            "Master               1      1        37      138      75       106     12   \n",
            "PhD                  0      1        52      192      98       117     24   \n",
            "\n",
            "Marital_Status  YOLO  \n",
            "Education             \n",
            "2n Cycle           0  \n",
            "Basic              0  \n",
            "Graduation         0  \n",
            "Master             0  \n",
            "PhD                2  \n"
          ]
        }
      ],
      "source": [
        "# Task 2: Examine the distribution of customers based on education and marital status using pd.crosstab\n",
        "education_marital_crosstab = pd.crosstab(df['Education'], df['Marital_Status'])\n",
        "print(\"\\nDistribution of customers based on education and marital status:\\n\")\n",
        "print(education_marital_crosstab)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QhjbnrycS73T"
      },
      "source": [
        "**Education Levels:** The rows represent different education levels, such as \"2n Cycle,\" \"Basic,\" \"Graduation,\" \"Master,\" and \"PhD.\"\n",
        "\n",
        "**Marital Status:** The columns represent different marital statuses, including \"Absurd,\" \"Alone,\" \"Divorced,\" \"Married,\" \"Single,\" \"Together,\" \"Widow,\" and \"YOLO.\"\n",
        "\n",
        "**Patterns:**\n",
        "\n",
        "1.   The majority of customers fall under the \"Married\" category across all Education levels. This suggests that married individuals make up a significant portion of the customer base.\n",
        "2. \"Divorced\" and \"Single\" are the next most common marital statuses for customers across different education levels.\n",
        "3. The \"Basic\" education level has the lowest number of customers, regardless of marital status. This may indicate that customers with only basic education are less likely to be part of this dataset.\n",
        "4. The \"YOLO\" category appears only for the \"PhD\" education level, suggesting a unique category or possibly a data entry error.\n",
        "5. There are various distributions for different education levels. For example, the \"Graduation\" and \"Master\" levels have more customers across different marital statuses compared to other education levels."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6sL6Tr7Eb2ym"
      },
      "source": [
        "**Task 3: Use pivot_table to:\n",
        "Generate a table showing the average recency of customers, segmented by their number of kids and teens at home.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pvBSDRR1b4Jy",
        "outputId": "9ce7abaf-ceb0-42f2-bc25-4cbae9e4917b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average recency of customers, segmented by the number of kids and teens at home:\n",
            "\n",
            "                    Recency\n",
            "Kidhome Teenhome           \n",
            "0       0         49.086207\n",
            "        1         48.491200\n",
            "        2         57.766667\n",
            "1       0         48.952286\n",
            "        1         48.665775\n",
            "        2         59.090909\n",
            "2       0         49.176471\n",
            "        1         54.451613\n"
          ]
        }
      ],
      "source": [
        "# Task 3: Generate a table showing the average recency of customers, segmented by their number of kids and teens at home using pivot_table\n",
        "average_recency_by_kids_teens = df.pivot_table(index=['Kidhome', 'Teenhome'], values='Recency', aggfunc='mean')\n",
        "print(\"\\nAverage recency of customers, segmented by the number of kids and teens at home:\\n\")\n",
        "print(average_recency_by_kids_teens)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PGNjkfquWGNx"
      },
      "source": [
        "**Segmentation:** The data is segmented into categories based on the number of kids (Kidhome) and teens (Teenhome) at home. These categories are represented in the table's index.\n",
        "\n",
        "**Recency:** The \"Recency\" column represents the average recency of customers in each segment. Recency typically refers to the time since the customer's last purchase or interaction with the company.\n",
        "\n",
        "**Patterns and Observations:**\n",
        "\n",
        "1.   For customers with no kids (Kidhome = 0) and no teens (Teenhome = 0) at home, the average recency is approximately 49.1, indicating that, on average, these customers made a purchase or had an interaction with the company about 49 days ago.\n",
        "2. Customers with no kids (Kidhome = 0) but with one teen (Teenhome = 1) at home have a slightly lower average recency of approximately 48.5 days.\n",
        "3. As the number of teens at home increases (Teenhome = 2), the average recency tends to increase. Customers with no kids (Kidhome = 0) and two teens (Teenhome = 2) have an average recency of around 57.8 days.\n",
        "4. When customers have one kid (Kidhome = 1) and no teens (Teenhome = 0) at home, the average recency is approximately 49.0 days, which is similar to the average recency for customers with no kids and one teen.\n",
        "5. Customers with one kid (Kidhome = 1) and two teens (Teenhome = 2) at home have a higher average recency of approximately 59.1 days.\n",
        "6. For customers with two kids (Kidhome = 2) and no teens (Teenhome = 0), the average recency is approximately 49.2 days.\n",
        "7. Customers with two kids (Kidhome = 2) and one teen (Teenhome = 1) at home have a notably higher average recency of approximately 54.5 days.\n",
        "\n",
        "**Interpretation:** The average recency values indicate how recently customers in different family compositions have engaged with the company. Lower recency values suggest more recent interactions or purchases, while higher values indicate longer intervals since the last interaction. The findings can be useful for tailoring marketing and engagement strategies to different customer segments based on their family composition."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qf2gmsJHsFyp"
      },
      "source": [
        "**Part 2: Data Visualization**\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "**1. Plot a histogram of customer income and discuss the distribution. Comment on your finding**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "tVnnQc7dsRu1",
        "outputId": "a91f0260-8b88-4c4c-aa35-c092656c120b"
      },
      "outputs": [
        {
          "data": {
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fI4CjTZs2TZ999plGjBihDh06KCcnRy+88ILatm2rQYMGSaq8KE9OTtbs2bPVrFkzxcfHa8CAAfVeh9KiRQsNGjRI48aNU3Z2tp555hl16dLFr0X7H//4R73xxhs6//zzdfnll2vbtm16+eWX/Zo/1LW2iy66SL/5zW90991366efftJJJ52kRYsW6Z133tHNN99c5bXr67rrrtOLL76osWPHas2aNerYsaPeeOMNLV++XM8880y9G0Y8+eST2rZtmyZNmqQ333xTF154oZo3b67MzEzNnz9fP/zwg6688kpJ0pVXXqk77rhDl156qSZNmqTi4mLNmjVL3bp109dff+17zYae/8cee0zjxo3TWWedpauuusrX/rxjx4665ZZbGv5lHnL77bfr3Xff1YUXXqixY8eqf//+Kioq0rp16/TGG2/op59+UqtWrQL2frX13HPPadCgQTr11FN13XXXqVOnTvrpp5/0/vvv65tvvpEkPfTQQ757df35z39WVFSUXnzxRZWWlmrGjBkBq+Wss87S9ddfr+nTp+ubb77Reeedp+joaG3ZskXz58/Xs88+q//7v/8L2PsBCBPWNQwEAOt42yV7f5xOp0lLSzPnnnuuefbZZ/3abHsd3f56yZIl5uKLLzbp6enG6XSa9PR0c9VVV1VpM/3OO++YXr16maioKL9W2GeddZbp3bt3tfXV1P783//+t5k6dapJSUkxsbGxZsSIEVXaRxtjzJNPPmlOOOEE43K5zMCBA83q1aurvOaxaquuBXhBQYG55ZZbTHp6uomOjjZdu3Y1jz/+uF+7aWMq259PmDChSk01tWU/WnZ2thk3bpxp1aqVcTqdpm/fvtW2aK9t+3OviooK8//+3/8zgwcPNklJSSY6Otp06NDBjBs3rkpr9EWLFpk+ffoYp9Npunfvbl5++eWAn39jjPnPf/5jTjnlFONyuUyLFi3MqFGjzK5du/yeP2bMGBMfH1/l89T0+1Pd91JQUGCmTp1qunTpYpxOp2nVqpX59a9/bZ544glTVlZmjDncuvzxxx+v1fdZ3Xsd6zV0VFt2Y4z5/vvvzaWXXmqSk5NNTEyM6d69u7n33nv9jvn666/NsGHDTEJCgomLizO/+c1vzBdffOF3TE23M/Ces6Nb1Nf0nf7tb38z/fv3N7GxsaZZs2amb9++ZsqUKWb37t21+j4ARBabMRas/AUAAACAEMYaKQAAAACoI4IUAAAAANQRQQoAAAAA6oggBQAAAAB1RJACAAAAgDoiSAEAAABAHXFDXlXe1X737t1q1qyZbDab1eUAAAAAsIgxRgUFBUpPT5fdXvO4E0FK0u7du9WuXTurywAAAAAQJHbu3Km2bdvWuN/SIOV2u/XAAw/o5ZdfVlZWltLT0zV27Fjdc889vpEhY4zuv/9+/f3vf1dubq4GDhyoWbNmqWvXrr7X2b9/v2688Ua99957stvtGjlypJ599lklJCTUqo5mzZpJqvyyEhMTA/9BAQAAAISE/Px8tWvXzpcRamJpkHrsscc0a9YszZs3T71799bq1as1btw4JSUladKkSZKkGTNm6LnnntO8efPUqVMn3XvvvRo2bJg2bNigmJgYSdKoUaO0Z88eLV68WOXl5Ro3bpyuu+46vfrqq7WqwxvaEhMTCVIAAAAAjrvkx2aMMU1USxUXXnihUlNT9dJLL/m2jRw5UrGxsXr55ZdljFF6erpuvfVW3XbbbZKkvLw8paamau7cubryyiu1ceNG9erVS1999ZVOO+00SdLChQt1wQUXaNeuXUpPTz9uHfn5+UpKSlJeXh5BCgAAAIhgtc0Glnbt+/Wvf60lS5Zo8+bNkqRvv/1Wn3/+uYYPHy5J2r59u7KysjR06FDfc5KSkjRgwACtWLFCkrRixQolJyf7QpQkDR06VHa7XatWrar2fUtLS5Wfn+/3AwAAAAC1ZenUvjvvvFP5+fnq0aOHHA6H3G63Hn74YY0aNUqSlJWVJUlKTU31e15qaqpvX1ZWllJSUvz2R0VFqUWLFr5jjjZ9+nT95S9/CfTHAQAAABAhLB2Rev311/XKK6/o1Vdf1ddff6158+bpiSee0Lx58xr1fadOnaq8vDzfz86dOxv1/QAAAACEF0tHpG6//XbdeeeduvLKKyVJffv21Y4dOzR9+nSNGTNGaWlpkqTs7Gy1adPG97zs7GydfPLJkqS0tDTl5OT4vW5FRYX279/ve/7RXC6XXC5XI3wiAAAAAJHA0hGp4uLiKje5cjgc8ng8kqROnTopLS1NS5Ys8e3Pz8/XqlWrlJGRIUnKyMhQbm6u1qxZ4ztm6dKl8ng8GjBgQBN8CgAAAACRxtIRqYsuukgPP/yw2rdvr969e2vt2rV66qmn9Ic//EFSZcvBm2++WQ899JC6du3qa3+enp6uSy65RJLUs2dPnX/++br22ms1e/ZslZeXa+LEibryyitr1bEPAAAAAOrK0iD1/PPP695779Wf//xn5eTkKD09Xddff73uu+8+3zFTpkxRUVGRrrvuOuXm5mrQoEFauHCh7x5SkvTKK69o4sSJGjJkiO+GvM8995wVHwkAAABABLD0PlLBgvtIAQAAAJBC5D5SAAAAABCKCFIAAAAAUEcEKQAAAACoI4IUAAAAANQRQQoAAAAA6oggBQAAAAB1RJACAAAAgDoiSAEAAABAHRGkUGvb9hZqX2Gp1WUAAAAAlouyugCEhk1ZBbrw+f8pym7XlPO7a0xGR9ntNqvLAgAAACzBiBRqZcF3u1XuNjpY7tZf3tug3724QltzCq0uCwAAALAEQQq1smh9tiRpRL82inc6tGbHAV3w3P+08sdfLK4MAAAAaHoEKRzXT/uKtCm7QFF2mx65pK8WTT5LA7u0VFmFR1PfXKeScrfVJQIAAABNiiCF41q0IUuSdMaJLZUUF60TkmM16+r+Smnm0vZ9RZr16TaLKwQAAACaFkEKx+Wd1nde71TftsSYaN1/UW9J0qxPt2nbXtZLAQAAIHIQpHBMewtKtSbzgCTp3F6pfvsu6Jums7u3Vpnbo3vf/l7GGCtKBAAAAJocQQrHtGRjtoyRTmqbpDZJsX77bDabHry4j2Ki7fpi2y96a+3PFlUJAAAANC2CFI7po/WV66PO651W7f52LeI0aUhXSdK9b3+vZZv3NlltAAAAgFUIUqhRYWmFlm+tbG9+3lHT+o507eATNbBLSxWVufWHuV/ptS8zm6pEAAAAwBIEKdRo2aa9KnN71KlVvLqkJNR4XLTDrjljf6XLTjlBbo/RnW+u0+Mf/cCaKQAAAIQtghRqtHiDd1pfqmw22zGPdUbZ9eTlJ+mmQ9P8Zn6yTdf+c43yissbvU4AAACgqRGkUKMNe/IlSb/u3KpWx9tsNt1ybjc98buT5Iyy6+ON2brguf/pm525jVglAAAA0PQIUqiWMUa7DhyUJLVrHnuco/39X/+2evOGX6tDyzj9nHtQv5v9hf61ckdjlAkAAABYgiCFah0oLldxmVuSlJ5ctyAlSX1OSNJ7Nw7S8D5pKncb3fv29/p4Q3agywQAAAAsEWV1AQhOuw4US5JSmrkUE+2o9fMyMzO1b98+3+M/9pRUEqcPtxbr5tfW6IlzWyklvn6/dq1atVL79u3r9VwAAAAgkAhSqNbPh6b1ta3DtL7MzEz16NlTB4uL/XfYo5Q26jEpvbvG/f1zZb1yh+SpqHNNsXFx+mHjRsIUAAAALEeQQrV2+YJUXK2fs2/fPh0sLtaoOx5XavvOfvuKKqQlWUZK764h0/6rk5q761RPduY2vfLY7dq3bx9BCgAAAJYjSKFa3ql9dRmR8kpt31ltu/ausj26VaHe+26PthY41Ll9unqkJTa4TgAAAMAKNJtAteozInU8J7ZOUP/2zSVJi9Zna+Oh9uoAAABAqCFIoVq76rFGqjZ+3aWleqcnykhatCFb3/+cF9DXBwAAAJoCU/tQReU9pOo/te9Y7DabhvRIkcNu03e78rTkhxztLypTrNMht8fIGKljqzi1SQrs+wIAAACBRJBCFbnF5SpqwD2kjsdms+nsbq3lsNu0NjNXa3fm+u3/8qf9Sk+OUf8OzdWpZbxsNlvAawAAAAAagiCFKrzT+lrX8R5SdWGz2TS4Syu1iHNq54FiRdntcthtKq1wa2tOoXbnlmh37h61SYrRpaec0Cg1AAAAAPVFkEIVjTWt72g2m019TkhSnxOS/LYXllTom525+u7nXO3JK9G2nEIlNGolAAAAQN3QbAJVNEbHvrpIiInSoK6tdEq7yg5/W3IKLakDAAAAqAlBClU01YjU8XRNrRyH2rG/WOUeS0sBAAAA/BCkUEVjtT6vq5bxTjWPi5bbY7TnIL+qAAAACB5cnaKKn3OtndrnZbPZ1DWlmSTp52J+VQEAABA8uDqFn8p7SAXHiJQkdUmpnN6XddAmm9P6egAAAACJIIWj5B0sV2FphSTphEa4h1RdtUpwKjk2Wh7ZFNv5dKvLAQAAACTR/jziZGZmat++fTXu33agXJKUHGPXhnXf1um1N27c2KDaqmOz2dQ1NUFf/XRAcd0HBvz1AQAAgPogSEWQzMxM9ejZUweLi2s8JrZbhlIuvVvZP25Q//4X1Ot9CgsD2668a0ozffXTAcWeeJoO0r4PAAAAQYAgFUH27dung8XFGnXH40pt37naYzbn27UuV+rcpat+P/PNOr3+xi+X6cN5z6qkpCQA1R7WKsGp+CijIrm0Zk+pGJcCAACA1QhSESi1fWe17dq72n1bN+VIuXlKbd1Kbbu0qtPrZmduC0R5VdhsNrWN82hTvkMrfy7RpEZ5FwAAAKD2aDYBP/kllY0mEmOCK2OnxFRO6dt+aA0XAAAAYCWCFPzkl1QGlcTYaIsr8ZcYbSRJWYVulZS7La4GAAAAkc7SINWxY0fZbLYqPxMmTJAklZSUaMKECWrZsqUSEhI0cuRIZWdn+71GZmamRowYobi4OKWkpOj2229XRUWFFR8n5BljVHDQOyIVXEHKZZfcxXkykrbmBLaZBQAAAFBXlgapr776Snv27PH9LF68WJL0u9/9TpJ0yy236L333tP8+fO1bNky7d69W5dddpnv+W63WyNGjFBZWZm++OILzZs3T3PnztV9991nyecJdaUVHpW5K6fQBdvUPptNKt+XKUnanF1gcTUAAACIdJYGqdatWystLc33s2DBAnXu3FlnnXWW8vLy9NJLL+mpp57SOeeco/79+2vOnDn64osvtHLlSknSokWLtGHDBr388ss6+eSTNXz4cD344IOaOXOmysrKrPxoISn/YOW0vjinQ1GO4Jv1Wb5vhyRpczYjUgAAALBW0Fwtl5WV6eWXX9Yf/vAH2Ww2rVmzRuXl5Ro6dKjvmB49eqh9+/ZasWKFJGnFihXq27evUlNTfccMGzZM+fn5Wr9+fY3vVVpaqvz8fL8fSAWlldP6mgXZaJRXGSNSAAAACBJBE6Tefvtt5ebmauzYsZKkrKwsOZ1OJScn+x2XmpqqrKws3zFHhijvfu++mkyfPl1JSUm+n3bt2gXug4Sw4tLKJg5xzuAMUuV7vSNSBCkAAABYK2iC1EsvvaThw4crPT290d9r6tSpysvL8/3s3Lmz0d8zFBSXV45IxTkdFldSPe8aqV0HDqqolIYiAAAAsE5QBKkdO3bo448/1h//+EfftrS0NJWVlSk3N9fv2OzsbKWlpfmOObqLn/ex95jquFwuJSYm+v1AKi7zjkgFZ5DylBQoOabyV3YLnfsAAABgoaAIUnPmzFFKSopGjBjh29a/f39FR0dryZIlvm2bNm1SZmamMjIyJEkZGRlat26dcnJyfMcsXrxYiYmJ6tWrV9N9gDBxsCy4p/ZJUvvEytqY3gcAAAArWX7F7PF4NGfOHI0ZM0ZRUYfLSUpK0vjx4zV58mS1aNFCiYmJuvHGG5WRkaEzzjhDknTeeeepV69euuaaazRjxgxlZWXpnnvu0YQJE+Ryuaz6SCHLOyIVGx2cI1KS1C4pSt/llGkLQQoAAAAWsjxIffzxx8rMzNQf/vCHKvuefvpp2e12jRw5UqWlpRo2bJheeOEF336Hw6EFCxbohhtuUEZGhuLj4zVmzBhNmzatKT9C2CguC+41UpLULrHyRsGbaIEOAAAAC1kepM477zwZY6rdFxMTo5kzZ2rmzJk1Pr9Dhw764IMPGqu8iBLsa6QkqX1S5a8sI1IAAACwUlCskYL13B6j0gqPpOBeI9Xu0BqpPXklyi8pt7gaAAAARCqCFCQdbjRhs0kx0cH7axHvtCstMUYSo1IAAACwTvBeMaNJeddHxUY7ZLPZLK7m2LqmJkiSNrNOCgAAABYhSEGSVFwe/OujvLqnNpMkbcpiRAoAAADWIEhB0pGNJoJ3fZRXt0NBaksOQQoAAADWIEhB0pE34w3+ESmm9gEAAMBqBClIOmKNVEgEqcoRqb0FpTpQVGZxNQAAAIhEBClICo17SHkluKJ0QnKsJGkznfsAAABgAYIUJB0RpKKDf42UJHVqFS9J2nngoMWVAAAAIBIRpCAptNZISVLb5pUjUrsOFFtcCQAAACIRQQqSDq+RCr0gxYgUAAAAmh5BCjLG+O4jFQrNJiSpbfM4SYxIAQAAwBoEKaikwiNjKv8dCveRkhiRAgAAgLUIUlBxaeW0PleUXQ67zeJqasc7IrUnr0QVbo/F1QAAACDSEKSgg+Wh1WhCklKauRTtsMntMcrKL7G6HAAAAEQYghR8rc9DZX2UJNntNt+9pJjeBwAAgKZGkMIRN+MNjfVRXt7pfT8TpAAAANDECFI43Po8OnRGpCQaTgAAAMA6BCmE3M14vbgpLwAAAKxCkELIT+1jRAoAAABNjSCFkGw2IR0xIpXLiBQAAACaFkEKh9dIhVyQOnQvqVzuJQUAAICmRZDCEVP7QitIee8lVeExyi4otbocAAAARBCCVIQrd3tU4TGSQm+NlN+9pPYzvQ8AAABNhyAV4byjUQ67TdEOm8XV1B0NJwAAAGAFglSEO3J9lM0WikGKe0kBAACg6RGkIlyoro/y4l5SAAAAsAJBKsIdDNF7SHkxtQ8AAABWIEhFuFAfkTqBe0kBAADAAgSpCOddIxUbHZpByju1j3tJAQAAoCkRpCJcqI9IpTSL4V5SAAAAaHIEqQhXHOJrpBx2m9K5lxQAAACaGEEqwnmbTcSG6IiURAt0AAAAND2CVIQ7WH4oSIXoGilJaptM5z4AAAA0LYJUBDPGqKQiDIIU95ICAABAEyNIRbCyCo+Mqfx3THTo/iq0bcHUPgAAADSt0L16RoN5p/VFO2yKcoTur0J6UmWQysovsbgSAAAARIrQvXpGg5WUV953KSaEp/VJUutmLknSXtqfAwAAoIkQpCKYd0Qq1INUSmKMJKmwtMJ3g2EAAACgMRGkIlhJGHTsk6R4p8P3GRiVAgAAQFMgSEWwwyNSof1rYLPZmN4HAACAJhXaV9BokJIwmdonsU4KAAAATYsgFcHCpdmEJKV4g1QhQQoAAACNjyAVwQ6GyRop6fCIVE4+QQoAAACNjyAVwUrCZI2UJLVOYGofAAAAmk7oX0Gj3sKla590xBoppvYBAACgCVgepH7++WddffXVatmypWJjY9W3b1+tXr3at98Yo/vuu09t2rRRbGyshg4dqi1btvi9xv79+zVq1CglJiYqOTlZ48ePV2FhYVN/lJATLveRkqSUREakAAAA0HQsDVIHDhzQwIEDFR0drQ8//FAbNmzQk08+qebNm/uOmTFjhp577jnNnj1bq1atUnx8vIYNG6aSkhLfMaNGjdL69eu1ePFiLViwQJ999pmuu+46Kz5SyDDG+JpNhMWIVELlTXlzCkqOcyQAAADQcFFWvvljjz2mdu3aac6cOb5tnTp18v3bGKNnnnlG99xzjy6++GJJ0j//+U+lpqbq7bff1pVXXqmNGzdq4cKF+uqrr3TaaadJkp5//nldcMEFeuKJJ5Sent60HypEVHiM3B4jKTxGpLxT+/YVlsnjMbLbbRZXBAAAgHBm6YjUu+++q9NOO02/+93vlJKSolNOOUV///vfffu3b9+urKwsDR061LctKSlJAwYM0IoVKyRJK1asUHJysi9ESdLQoUNlt9u1atWqat+3tLRU+fn5fj+Rxjutz2GzKdoR+qGjZYJTNpvk9hgdKC6zuhwAAACEOUuD1I8//qhZs2apa9eu+uijj3TDDTdo0qRJmjdvniQpKytLkpSamur3vNTUVN++rKwspaSk+O2PiopSixYtfMccbfr06UpKSvL9tGvXLtAfLeiVlB3u2GezhX6QinbY1SLOKYmGEwAAAGh8lgYpj8ejU089VY888ohOOeUUXXfddbr22ms1e/bsRn3fqVOnKi8vz/ezc+fORn2/YBROjSa8uJcUAAAAmoqlQapNmzbq1auX37aePXsqMzNTkpSWliZJys7O9jsmOzvbty8tLU05OTl++ysqKrR//37fMUdzuVxKTEz0+4k04dRowsvXAp3OfQAAAGhklgapgQMHatOmTX7bNm/erA4dOkiqbDyRlpamJUuW+Pbn5+dr1apVysjIkCRlZGQoNzdXa9as8R2zdOlSeTweDRgwoAk+RWgqCeMRKab2AQAAoLFZ2rXvlltu0a9//Ws98sgjuvzyy/Xll1/qb3/7m/72t79Jkmw2m26++WY99NBD6tq1qzp16qR7771X6enpuuSSSyRVjmCdf/75vimB5eXlmjhxoq688ko69h3D4al9lt9KLGAYkQIAAEBTsTRInX766Xrrrbc0depUTZs2TZ06ddIzzzyjUaNG+Y6ZMmWKioqKdN111yk3N1eDBg3SwoULFRMT4zvmlVde0cSJEzVkyBDZ7XaNHDlSzz33nBUfKWSE5YhUwqE1UgQpAAAANDJLg5QkXXjhhbrwwgtr3G+z2TRt2jRNmzatxmNatGihV199tTHKC1veEalYZxgFKd+IFDflBQAAQOMKn3ldqBNvs4lwGpFKaVY5SsnUPgAAADQ2glSEKmGNFAAAAFBv4XMVjTrxBqlwbH+eX1Lh+3wAAABAYyBIRahwvCFvYkyUXFGVv9KMSgEAAKAxEaQikMdI5W4jKbxGpGw2G/eSAgAAQJMgSEWg0so+E7JJvhGccOENUjn5BCkAAAA0nvC6ikatlLltkiqn9dlsNourCSzvvaQYkQIAAEBjIkhFoLJDI1Lh1LHPKyWRzn0AAABofOF3JY3jOhykwmd9lFfrBO4lBQAAgMZHkIpApYem9oVTowmvw/eSKrG4EgAAAIQzglQECusRKW7KCwAAgCZAkIpAZR5vs4nwO/0pBCkAAAA0gfC7ksZxeUekwnpqX2GpjDEWVwMAAIBwRZCKQKVHtD8PNy0TnJIqbzicW1xucTUAAAAIVwSpCBTOa6RcUQ4lx0VL4l5SAAAAaDwEqQjkXSMVjlP7JNZJAQAAoPERpCJQaRjfkFeSWiUQpAAAANC4wvNKGjWz2VUexlP7JKl5XOU6qbyDrJECAABA4yBIRRh7TIKk8G02IUmJsZVrpGg2AQAAgMZCkIow9thESZIzyi6H3WZxNY3D22yCESkAAAA0FoJUhHHENpMUvo0mJCnJOyJ1sMziSgAAABCuCFIRxn4oSIVrowlJSj4UpPIZkQIAAEAjCd+raVTLO7UvXNdHSUeMSLFGCgAAAI2EIBVhKptNSDFR4R+kWCMFAACAxkKQijDeIOUK46l9STSbAAAAQCML36tpVMvuipwRqVyCFAAAABoJQSrCOCJgRCr50A15yyo8Kil3W1wNAAAAwlH4Xk2jWr6pfVHhe+rjnQ7fPbJoOAEAAIDGEL5X06jW4SAVvlP7bDabrwU666QAAADQGAhSEcYeEy8pvO8jJR3ZAp2b8gIAACDwwvtqGlV4m02E84iUROc+AAAANC6CVAQxxkRE+3OJzn0AAABoXOF9NQ0/ZW7JFlUZMMK5/bkk3xqpfIIUAAAAGgFBKoIUlnkkSTYZRTtsFlfTuA6vkSJIAQAAIPAIUhGksLwySEXbKzvbhbOkQ/eSYo0UAAAAGgNBKoIUlRlJlUEq3LFGCgAAAI0pAi6p4eWd2ue0G4sraXxJ3EcKAAAAjYggFUGKjpjaF+58N+TlPlIAAABoBBFwSQ2vwkNT+yJiRIr7SAEAAKAREaQiSFFZBI5IEaQAAADQCCLgkhpe3ql9zgg460eukfJ4wn8EDgAAAE0ryuoC0HQKfV37QjdYbNy4sVbHlbkrP6PHSMu/XKP4WqTHVq1aqX379g2qDwAAAJGBIBVBispCd0Qqf/9eSdLVV19d6+e0m/yG7NExOuf8C1WRl33c42Pj4vTDxo2EKQAAABwXQSqCHL4hb+iNSB0szJckjbj+bnXv179Wz/ng52gddEvXPDBbzZ3H/szZmdv0ymO3a9++fQQpAAAAHBdBKoIU+br2WVxIA7RM76C2XXvX6ti4X3boYFGZktp0VNsWcY1cGQAAACJJCF9So64KI6hrnyTFRDskSaXlbosrAQAAQLix9JL6gQcekM1m8/vp0aOHb39JSYkmTJigli1bKiEhQSNHjlR2tv9al8zMTI0YMUJxcXFKSUnR7bffroqKiqb+KCHhcNe+0JvaVx+uqMpf75JDnxsAAAAIFMun9vXu3Vsff/yx73FU1OGSbrnlFr3//vuaP3++kpKSNHHiRF122WVavny5JMntdmvEiBFKS0vTF198oT179mj06NGKjo7WI4880uSfJZiVlLtVdmhgJlJGpFyHPmhJBSNSAAAACCzLg1RUVJTS0tKqbM/Ly9NLL72kV199Veecc44kac6cOerZs6dWrlypM844Q4sWLdKGDRv08ccfKzU1VSeffLIefPBB3XHHHXrggQfkdDqb+uMErfySyhvTGuNRtM3iYprI4al9jEgBAAAgsCwfm9iyZYvS09N14oknatSoUcrMzJQkrVmzRuXl5Ro6dKjv2B49eqh9+/ZasWKFJGnFihXq27evUlNTfccMGzZM+fn5Wr9+fY3vWVpaqvz8fL+fcJd/sDJIeUqLZYuUIBVVGaQYkQIAAECgWRqkBgwYoLlz52rhwoWaNWuWtm/frsGDB6ugoEBZWVlyOp1KTk72e05qaqqysrIkSVlZWX4hyrvfu68m06dPV1JSku+nXbt2gf1gQSjPG6RKCi2upOn4pvbRbAIAAAABZunUvuHDh/v+3a9fPw0YMEAdOnTQ66+/rtjY2EZ736lTp2ry5Mm+x/n5+WEfpvyDVAtri2ki3hGp0gqm9gEAACCwLJ/ad6Tk5GR169ZNW7duVVpamsrKypSbm+t3THZ2tm9NVVpaWpUuft7H1a278nK5XEpMTPT7CXeROCIVc2hEijVSAAAACLSgClKFhYXatm2b2rRpo/79+ys6OlpLlizx7d+0aZMyMzOVkZEhScrIyNC6deuUk5PjO2bx4sVKTExUr169mrz+YJZXHHlBysUaKQAAADQSS6f23XbbbbrooovUoUMH7d69W/fff78cDoeuuuoqJSUlafz48Zo8ebJatGihxMRE3XjjjcrIyNAZZ5whSTrvvPPUq1cvXXPNNZoxY4aysrJ0zz33aMKECXK5XFZ+tKCTd7Dy3lqRFKQYkQIAAEBjsTRI7dq1S1dddZV++eUXtW7dWoMGDdLKlSvVunVrSdLTTz8tu92ukSNHqrS0VMOGDdMLL7zge77D4dCCBQt0ww03KCMjQ/Hx8RozZoymTZtm1UcKWt7255EUpFyH2p+XuT1ye4wc9ghpVwgAAIBGZ2mQeu211465PyYmRjNnztTMmTNrPKZDhw764IMPAl1a2PGtkSotsriSpuOKOjxztbTCrTin5bdNAwAAQJgIqjVSaDyR2GzCbrPJGcX0PgAAAAQeQSpCRGKQkqSYQ0GKhhMAAAAIJIJUhMiP1CB1aJ1UCSNSAAAACCCCVISI1BEp7zqpUkakAAAAEEAEqQgRqUGKESkAAAA0BoJUBCh3e1RcVjkiE2lByjciVc6IFAAAAAKHIBUBvOujpMhqfy4dMSJVwYgUAAAAAocgFQG80/pio2ySiaxA4YpmRAoAAACBR5CKAN4gFe+MvNMdE8WIFAAAAAIv8q6sI5A3SCU4bRZX0vS8I1IljEgBAAAggAhSEcAXpKIj73R7R6RKGZECAABAAEXelXUEyvdN7Yu8EanD7c8ZkQIAAEDgEKQiwOGpfZF3up2H2p+XuxmRAgAAQOBE3pV1BPI1m4jAqX2Hg5SRx2MsrgYAAADhIvKurCNQ/sEKSZE5tc/pOPwrXsaoFAAAAAKkXkHqxx9/DHQdaESR3GzCYbfJYa8MkGU0nAAAAECA1OvKukuXLvrNb36jl19+WSUlJYGuCQEWyfeRkg6PStG5DwAAAIFSryvrr7/+Wv369dPkyZOVlpam66+/Xl9++WWga0OARPJ9pCTJdWidFFP7AAAAECj1ClInn3yynn32We3evVv/+Mc/tGfPHg0aNEh9+vTRU089pb179wa6TjRAxI9IeYMUI1IAAAAIkAZdWUdFRemyyy7T/Pnz9dhjj2nr1q267bbb1K5dO40ePVp79uwJVJ1ogPySyO3aJxGkAAAAEHgNurJevXq1/vznP6tNmzZ66qmndNttt2nbtm1avHixdu/erYsvvjhQdaKePB6jwtJDXfuiI3Nqn3eNFEEKAAAAgRJVnyc99dRTmjNnjjZt2qQLLrhA//znP3XBBRfIbq+8YO3UqZPmzp2rjh07BrJW1ENhWYXModsnxUXoiBRrpAAAABBo9QpSs2bN0h/+8AeNHTtWbdq0qfaYlJQUvfTSSw0qDg1XUFI5GuV02OV0WFyMRZjaBwAAgECrV5DasmXLcY9xOp0aM2ZMfV4eAZR/qNFEs5go2WwROrWPIAUAAIAAq9dcrzlz5mj+/PlVts+fP1/z5s1rcFEIHO+IVLOYemXmsOC7j5TbbXElAAAACBf1ClLTp09Xq1atqmxPSUnRI4880uCiEDgFhzr2JcZGW1yJdRiRAgAAQKDVK0hlZmaqU6dOVbZ36NBBmZmZDS4KgeNtfR7RI1IEKQAAAARYvYJUSkqKvvvuuyrbv/32W7Vs2bLBRSFwfFP7XIxIlRKkAAAAECD1ClJXXXWVJk2apE8++URut1tut1tLly7VTTfdpCuvvDLQNaIBvEEqMTZyR6Rcjsp2hbQ/BwAAQKDU6+r6wQcf1E8//aQhQ4YoKqryJTwej0aPHs0aqSBzuGtftKTIbLbA1D4AAAAEWr2ClNPp1H/+8x89+OCD+vbbbxUbG6u+ffuqQ4cOga4PDZRP1z6CFAAAAAKuQVfX3bp1U7du3QJVCxqBr2tfDGukKjxGbo+Rwx6Z99MCAABA4NQrSLndbs2dO1dLlixRTk6OPB7//6d/6dKlASkODceI1OH7SElSudsjh91hYTUAAAAIB/W6ur7ppps0d+5cjRgxQn369JHNxv/DH6wKSo5YI1VmcTEWcdhtirLbVOExKqvwKCaaIAUAAICGqVeQeu211/T666/rggsuCHQ9CDC/rn0RGqSkyul9FWVuWqADAAAgIOrV/tzpdKpLly6BrgWNwNu1L5LXSEmHp/fRcAIAAACBUK8gdeutt+rZZ5+VMSbQ9SDAClgjJemIzn3cSwoAAAABUK+r688//1yffPKJPvzwQ/Xu3VvR0f6jHW+++WZAikPDlLs9Olheee+oxJho/WJxPVaiBToAAAACqV5BKjk5WZdeemmga0GAeUejJCkhwkekXAQpAAAABFC9rq7nzJkT6DrQCLwd++KcDkU76jWLM2x410iVut0WVwIAAIBwUO+r64qKCn388cd68cUXVVBQIEnavXu3CgsLA1YcGob1UYcxtQ8AAACBVK8r7B07duj8889XZmamSktLde6556pZs2Z67LHHVFpaqtmzZwe6TtSDt2Nfswjv2CcRpAAAABBY9RqRuummm3TaaafpwIEDio2N9W2/9NJLtWTJkoAVh4bJ995DihEpghQAAAACql5X2P/73//0xRdfyOl0+m3v2LGjfv7554AUhobzrpFiROqI+0jR/hwAAAABUK8RKY/HI3c1i/Z37dqlZs2aNbgoBEY+a6R8XFEOSVIpI1IAAAAIgHoFqfPOO0/PPPOM77HNZlNhYaHuv/9+XXDBBYGqDQ3kHZFKjGVEiql9AAAACKR6DVU8+eSTGjZsmHr16qWSkhL9/ve/15YtW9SqVSv9+9//DnSNqCe69h3mm9pHkAIAAEAA1GtEqm3btvr2229111136ZZbbtEpp5yiRx99VGvXrlVKSkq9Cnn00Udls9l08803+7aVlJRowoQJatmypRISEjRy5EhlZ2f7PS8zM1MjRoxQXFycUlJSdPvtt6uiokI43LUvkTVSh0ekWCMFAACAAKj3UEVUVJSuvvrqgBTx1Vdf6cUXX1S/fv38tt9yyy16//33NX/+fCUlJWnixIm67LLLtHz5ckmS2+3WiBEjlJaWpi+++EJ79uzR6NGjFR0drUceeSQgtYWyArr2+biY2gcAAIAAqtcV9j//+c9j7h89enStX6uwsFCjRo3S3//+dz300EO+7Xl5eXrppZf06quv6pxzzpEkzZkzRz179tTKlSt1xhlnaNGiRdqwYYM+/vhjpaam6uSTT9aDDz6oO+64Qw888ECVroJepaWlKi0t9T3Oz8+vdb2hpKCUrn1e3hGpCo+R22PksNssrggAAAChrF5B6qabbvJ7XF5eruLiYjmdTsXFxdUpSE2YMEEjRozQ0KFD/YLUmjVrVF5erqFDh/q29ejRQ+3bt9eKFSt0xhlnaMWKFerbt69SU1N9xwwbNkw33HCD1q9fr1NOOaXa95w+fbr+8pe/1LrGUJV/kDVSXtGOw7NYy9wexdodFlYDAACAUFevNVIHDhzw+yksLNSmTZs0aNCgOjWbeO211/T1119r+vTpVfZlZWXJ6XQqOTnZb3tqaqqysrJ8xxwZorz7vftqMnXqVOXl5fl+du7cWeuaQwld+w5z2G2KOjQKxfQ+AAAANFTAhiq6du2qRx99VFdffbV++OGH4x6/c+dO3XTTTVq8eLFiYmICVUatuFwuuVyuJn1PK9C1z58zyq6KMjdBCgAAAA1WrxGpmkRFRWn37t21OnbNmjXKycnRqaeeqqioKEVFRWnZsmV67rnnFBUVpdTUVJWVlSk3N9fvednZ2UpLS5MkpaWlVeni533sPSZSGWOUX8IaqSNxLykAAAAESr2GKt59912/x8YY7dmzR3/96181cODAWr3GkCFDtG7dOr9t48aNU48ePXTHHXeoXbt2io6O1pIlSzRy5EhJ0qZNm5SZmamMjAxJUkZGhh5++GHl5OT42q4vXrxYiYmJ6tWrV30+WtgorfCo3G0k0bXPy3svqVK32+JKAAAAEOrqdYV9ySWX+D222Wxq3bq1zjnnHD355JO1eo1mzZqpT58+ftvi4+PVsmVL3/bx48dr8uTJatGihRITE3XjjTcqIyNDZ5xxhiTpvPPOU69evXTNNddoxowZysrK0j333KMJEyZExNS9Y/GORtlsUryTICXRAh0AAACBU68rbI+naS5En376adntdo0cOVKlpaUaNmyYXnjhBd9+h8OhBQsW6IYbblBGRobi4+M1ZswYTZs2rUnqC2bejn0JrijZafUtial9AAAACJygGqr49NNP/R7HxMRo5syZmjlzZo3P6dChgz744INGriz0+Dr2sT7KhyAFAACAQKlXkJo8eXKtj33qqafq8xZoIDr2VeVdI1XmJkgBAACgYep1lb127VqtXbtW5eXl6t69uyRp8+bNcjgcOvXUU33H2WxMKbNKPiNSVbiiKm/Cy4gUAAAAGqpeQeqiiy5Ss2bNNG/ePDVv3lxS5U16x40bp8GDB+vWW28NaJGoO++IVGIsI1JeTO0DAABAoNTrPlJPPvmkpk+f7gtRktS8eXM99NBDte7ah8ZVwD2kqvC1PydIAQAAoIHqFaTy8/O1d+/eKtv37t2rgoKCBheFhvN27WON1GG+ESnWSAEAAKCB6hWkLr30Uo0bN05vvvmmdu3apV27dum///2vxo8fr8suuyzQNaIe6NpXFVP7AAAAECj1Gq6YPXu2brvtNv3+979XeXnlBXtUVJTGjx+vxx9/PKAFon7o2leVN0gxtQ8AAAANVa+r7Li4OL3wwgt6/PHHtW3bNklS586dFR8fH9DiUH/5rJGqwtf+nCAFAACABqrX1D6vPXv2aM+ePeratavi4+NljAlUXWigfLr2VeFijRQAAAACpF5B6pdfftGQIUPUrVs3XXDBBdqzZ48kafz48bQ+DxKHp/YxIuXlndrn9hi5PYR+AAAA1F+9gtQtt9yi6OhoZWZmKi4uzrf9iiuu0MKFCwNWHOov/6B3ah8jUl7eqX0S0/sAAADQMPW6yl60aJE++ugjtW3b1m97165dtWPHjoAUhoaha19VdrtNUXabKjxGZW6PYuWwuiQAAACEqHqNSBUVFfmNRHnt379fLperwUWhYTweo8LSQ2ukGJHy46IFOgAAAAKgXkFq8ODB+uc//+l7bLPZ5PF4NGPGDP3mN78JWHGon6KyCnmXALFGyh/3kgIAAEAg1Gu4YsaMGRoyZIhWr16tsrIyTZkyRevXr9f+/fu1fPnyQNeIOvI2moh22BQT3aDGjGHn8L2k3BZXAgAAgFBWr6vsPn36aPPmzRo0aJAuvvhiFRUV6bLLLtPatWvVuXPnQNeIOjqyY5/NZrO4muDiu5cULdABAADQAHUekSovL9f555+v2bNn6+67726MmtBA+b5GE6yPOhpT+wAAABAIdR6Rio6O1nfffdcYtSBAvB37WB9VFUEKAAAAgVCvqX1XX321XnrppUDXggA5PLWPEamjuRyVLc9LCVIAAABogHpdaVdUVOgf//iHPv74Y/Xv31/x8fF++5966qmAFIf68d6Ml3tIVeUbkWKNFAAAABqgTkHqxx9/VMeOHfX999/r1FNPlSRt3rzZ7xiaG1gvnxGpGjG1DwAAAIFQpyvtrl27as+ePfrkk08kSVdccYWee+45paamNkpxqJ8ju/bBH0EKAAAAgVCnNVLGGL/HH374oYqKigJaEBrO17UvlhGpo/nanxOkAAAA0AANulvr0cEKwYERqZqxRgoAAACBUKcgZbPZqqyBYk1U8PE2m2CNVFWuQ0GKrn0AAABoiDpdaRtjNHbsWLlcLklSSUmJ/vSnP1Xp2vfmm28GrkLUWUEJXftqwhopAAAABEKdgtSYMWP8Hl999dUBLQaB4Z3al8iIVBW+NVJM7QMAAEAD1OlKe86cOY1VBwLI22yCNVJVeUek3B6jCo9HUfYGLRMEAABAhOIqMgz5RqTo2leFN0hJUnkFzVIAAABQPwSpMFPh9qi4zC2JEanq2G02RTsqG6SUVrgtrgYAAAChiiAVZryjURJd+2rCOikAAAA0FEEqzHiDVGy0Q9EOTm916NwHAACAhuJKO8wcbjTBaFRNCFIAAABoKIJUmCFIHR9BCgAAAA1FkAozhzv20WiiJt41UqWskQIAAEA9EaTCjDdI0bGvZq4ohyRGpAAAAFB/BKkwk3+QqX3Hw9Q+AAAANBRBKsz4pvYxIlUjX/tzghQAAADqiSAVZgoONZtIZESqRr4RKdZIAQAAoJ4IUmGGrn3H52JqHwAAABqIIBVm6Np3fN4RqVKCFAAAAOqJIBVmDnftY0SqJr41UkztAwAAQD0RpMKMb2qfixGpmtC1DwAAAA1FkAozTO07PoIUAAAAGoogFWYKaDZxXAQpAAAANBRBKszkH2SN1PG4Dq2RchujCg9hCgAAAHVnaZCaNWuW+vXrp8TERCUmJiojI0Mffvihb39JSYkmTJigli1bKiEhQSNHjlR2drbfa2RmZmrEiBGKi4tTSkqKbr/9dlVUVDT1RwkKJeVuXwMFpvbVLDrq8K89o1IAAACoD0uDVNu2bfXoo49qzZo1Wr16tc455xxdfPHFWr9+vSTplltu0Xvvvaf58+dr2bJl2r17ty677DLf891ut0aMGKGysjJ98cUXmjdvnubOnav77rvPqo9kKe/6KJtNSnAyIlUTu82maIdNEkEKAAAA9WPp1fZFF13k9/jhhx/WrFmztHLlSrVt21YvvfSSXn31VZ1zzjmSpDlz5qhnz55auXKlzjjjDC1atEgbNmzQxx9/rNTUVJ188sl68MEHdccdd+iBBx6Q0+ms9n1LS0tVWlrqe5yfn994H7IJeTv2JbiiZLfbLK4muDmj7Cp3uwlSAAAAqJegWSPldrv12muvqaioSBkZGVqzZo3Ky8s1dOhQ3zE9evRQ+/bttWLFCknSihUr1LdvX6WmpvqOGTZsmPLz832jWtWZPn26kpKSfD/t2rVrvA/WhHwd+2KY1nc83EsKAAAADWF5kFq3bp0SEhLkcrn0pz/9SW+99ZZ69eqlrKwsOZ1OJScn+x2fmpqqrKwsSVJWVpZfiPLu9+6rydSpU5WXl+f72blzZ2A/lEXo2Fd7dO4DAABAQ1h+xd29e3d98803ysvL0xtvvKExY8Zo2bJljfqeLpdLLperUd/DCt6OfYxIHZ8ryiFJKiVIAQAAoB4sD1JOp1NdunSRJPXv319fffWVnn32WV1xxRUqKytTbm6u36hUdna20tLSJElpaWn68ssv/V7P29XPe0wkYUSq9nxT+whSAAAAqAfLp/YdzePxqLS0VP3791d0dLSWLFni27dp0yZlZmYqIyNDkpSRkaF169YpJyfHd8zixYuVmJioXr16NXntVvOukSJIHZ9vah9rpAAAAFAPll5xT506VcOHD1f79u1VUFCgV199VZ9++qk++ugjJSUlafz48Zo8ebJatGihxMRE3XjjjcrIyNAZZ5whSTrvvPPUq1cvXXPNNZoxY4aysrJ0zz33aMKECWE5de94vF37uIfU8bFGCgAAAA1haZDKycnR6NGjtWfPHiUlJalfv3766KOPdO6550qSnn76adntdo0cOVKlpaUaNmyYXnjhBd/zHQ6HFixYoBtuuEEZGRmKj4/XmDFjNG3aNKs+kqUYkao9b5BijRQAAADqw9Ir7pdeeumY+2NiYjRz5kzNnDmzxmM6dOigDz74INClhaR83xopRqSOx0X7cwAAADRA0K2RQv3Rta/2mNoHAACAhiBIhRG69tUeQQoAAAANQZAKI6yRqj2CFAAAABqCIBVG6NpXe07WSAEAAKABCFJhxDsilciI1HExIgUAAICGIEiFCWPMEWukGJE6Hpev/blbxhiLqwEAAECoIUiFiaIytzyH8gBd+47POyLlMZLbQ5ACAABA3RCkwoR3NCrKblNMNKf1eKIdh78j1kkBAACgrrjiDhNHduyz2WwWVxP87Daboh2V3xPrpAAAAFBXBKkwkX+Qjn115YpySJJKCVIAAACoI4JUmOAeUnXna4FOkAIAAEAdEaTChPceUs1cjEjVlq8FOmukAAAAUEcEqTCR772HVCwjUrXFvaQAAABQXwSpMME9pOqOIAUAAID6IkiFCdZI1Z13jVQpU/sAAABQRwSpMOHr2seIVK0xIgUAAID6IkiFCUak6o4gBQAAgPoiSIUJ7xopRqRqz0WQAgAAQD0RpMIEXfvqzncfKdZIAQAAoI4IUmGCrn11x9Q+AAAA1BdBKkywRqruvFP7SivcFlcCAACAUEOQChN07as7RqQAAABQXwSpMFDh9qiorHJUhRGp2mONFAAAAOqLIBUGcg+NRklSUiwjUrV15IiUMRYXAwAAgJBCkAoDucVlkqTEmChFOTiltRUT7ZAkeYxUQZACAABAHXDVHQYOFFeOSDWPd1pcSWiJstvksNkkSWXM7gMAAEAdEKTCwIGiyhGp5DiCVF3YbDa5oiv/BMo9NourAQAAQCghSIWBXO+IVBzro+rKO72PESkAAADUBUEqDBw4tEaqOSNSdRbjbThBkAIAAEAdEKTCgHeNVDIjUnV2eESKqX0AAACoPYJUGMhlRKrefGuk3BYXAgAAgJBCkAoDh6f2MSJVV4xIAQAAoD4IUmHg8NQ+RqTqKiaKZhMAAACoO4JUGGBqX/3FRHubTTAiBQAAgNojSIUBmk3UH+3PAQAAUB8EqRBnjDk8IhXPiFRduWh/DgAAgHogSIW4ojK3yt1GEs0m6sM7IlXO1D4AAADUAUEqxB0oqhyNckbZFXsoFKD2mNoHAACA+iBIhbjcQ+ujmsdFy2ZjVKWuvM0m3MYmWxRTIwEAAFA7UVYXgKoyMzO1b9++Wh37TVapJCnG5tbXX399zGM3btzY4NrCjdNhl80mGSPZYxKsLgcAAAAhgiAVZDIzM9WjZ08dLC6u1fFxPc9U699O0abvvlb/u+6q1XMKCwsbUmJYsdlsioly6GC5W/aYZlaXAwAAgBBBkAoy+/bt08HiYo2643Gltu983OO3Ftj17QGpc48+GjXzzWMeu/HLZfpw3rMqKSkJVLlhwRVtPxSkGJECAABA7RCkglRq+85q27X3cY/b9eMv0oH9at48WW27ph7z2OzMbYEqL6zERDkklcsey4gUAAAAaodmEyGupNwtSYp10rGvvrwNJxiRAgAAQG0RpEJcSXll3+4YWp/Xm+vQd8caKQAAANQWQSrEeUekCFL1FxNV+WfgYEQKAAAAtWRpkJo+fbpOP/10NWvWTCkpKbrkkku0adMmv2NKSko0YcIEtWzZUgkJCRo5cqSys7P9jsnMzNSIESMUFxenlJQU3X777aqoqGjKj2KZg74gRSauL28IZY0UAAAAasvSq+9ly5ZpwoQJWrlypRYvXqzy8nKdd955Kioq8h1zyy236L333tP8+fO1bNky7d69W5dddplvv9vt1ogRI1RWVqYvvvhC8+bN09y5c3XfffdZ8ZGanG+NFCNS9eYLUoxIAQAAoJYs7dq3cOFCv8dz585VSkqK1qxZozPPPFN5eXl66aWX9Oqrr+qcc86RJM2ZM0c9e/bUypUrdcYZZ2jRokXasGGDPv74Y6Wmpurkk0/Wgw8+qDvuuEMPPPCAnE6nFR+tybBGquG8U/sYkQIAAEBtBdV8sLy8PElSixYtJElr1qxReXm5hg4d6jumR48eat++vVasWCFJWrFihfr27avU1MOtv4cNG6b8/HytX7++2vcpLS1Vfn6+308ocnuMytwEqYai2QQAAADqKmiClMfj0c0336yBAweqT58+kqSsrCw5nU4lJyf7HZuamqqsrCzfMUeGKO9+777qTJ8+XUlJSb6fdu3aBfjTNA3vtD5JckUFzakMOd71ZTSbAAAAQG0FzdX3hAkT9P333+u1115r9PeaOnWq8vLyfD87d+5s9PdsDL6OfVF22W02i6sJXTSbAAAAQF1ZukbKa+LEiVqwYIE+++wztW3b1rc9LS1NZWVlys3N9RuVys7OVlpamu+YL7/80u/1vF39vMcczeVyyeVyBfhTND3WRwVGTNShIOWKV4XHWFwNAAAAQoGlI1LGGE2cOFFvvfWWli5dqk6dOvnt79+/v6Kjo7VkyRLftk2bNikzM1MZGRmSpIyMDK1bt045OTm+YxYvXqzExET16tWraT6IRUoquIdUIBw5LbKozGNhJQAAAAgVlo5ITZgwQa+++qreeecdNWvWzLemKSkpSbGxsUpKStL48eM1efJktWjRQomJibrxxhuVkZGhM844Q5J03nnnqVevXrrmmms0Y8YMZWVl6Z577tGECRPCYtTpWLiHVGDY7TZF24zKjU2FZYxIAQAA4PgsDVKzZs2SJJ199tl+2+fMmaOxY8dKkp5++mnZ7XaNHDlSpaWlGjZsmF544QXfsQ6HQwsWLNANN9ygjIwMxcfHa8yYMZo2bVpTfQzLcA+pwIm2S+VuqZARKQAAANSCpUHKmOP/v/8xMTGaOXOmZs6cWeMxHTp00AcffBDI0kICa6QCx+kwKnbbVECQAgAAQC0wJyyE+br2EaQazHnoL4ERKQAAANQGQSqElbBGKmCc9srR0SLWSAEAAKAWuAIPYQdZIxUw3hEppvYBAACgNghSIaykjDVSgcLUPgAAANQFQSqEHWSNVMBEH5raR5ACAABAbRCkQpQxRqUVrJEKlMMjUqyRAgAAwPFxBR6iytweeQ5d87NGquG8zSZYIwUAAIDaIEiFKO89pKLsNkU5OI0NxRopAAAA1AVX4CGK9VGB5XSwRgoAAAC1R5AKUdxDKrC8I1JF5UYeD+ukAAAAcGxchYeoEkakAsqbRz1GKiitsLYYAAAABD2CVIjyrpGi0URgOGySp6xEkpRXXG5xNQAAAAh2BKkQxRqpwPOUFEiScg+WWVwJAAAAgh1BKkQVl1VOP4t1EqQCxVNSKEnKZUQKAAAAx0GQClFFpZUjUgmuKIsrCR+eg94RKYIUAAAAjo0gFaIKDzVEIEgFjvvQ1L68Yqb2AQAA4NgIUiGqsIQgFWhM7QMAAEBtEaRCUIXH42s2QZAKHE9xniRpX2GpxZUAAAAg2BGkQlDxofVRDruNG/IGkLtwvyQpp4AgBQAAgGPjKjwEHbk+ymazWVxN+CBIAQAAoLYIUiHIG6TiXbQ+DyR3kTdIlVhcCQAAAIIdQSoE0bGvcbgLD0iScvJLZYyxuBoAAAAEM4JUCCJINY6KQ1P7Sis8yj/UFREAAACoDkEqBBXR+rxxuMsVH1255mwv0/sAAABwDASpEFTAiFSjaR5bue4sO5+GEwAAAKgZQSoEFfmaTRCkAq15TOWfBA0nAAAAcCwEqRBjjFHRoftIJcQQpALNF6QYkQIAAMAxEKRCzMFyt9yHOsrFOwlSgdbi0NQ+7iUFAACAYyFIhRhvx744p0MOOzfjDbTDU/sIUgAAAKgZQSrE0Pq8cXmbTeTks0YKAAAANSNIhZiikkProwhSjYIRKQAAANQGQSrEFNKxr1ExIgUAAIDaIEiFGKb2NS7viFRRmdvXZh4AAAA4GkEqxBCkGldstF1xTjr3AQAA4NgIUiHGO0rCPaQaT0ozlySm9wEAAKBmBKkQw4hU40tJjJHEiBQAAABqRpAKIeVuj0orPJKkeJfD4mrCl3dEKpsRKQAAANSAIBVCvKNRToddriiCVGNJaVY5IrWXESkAAADUgCAVQgpLvK3PCVGNKSXx0BopghQAAABqQJAKIUWsj2oSvmYTBUztAwAAQPUIUiGkgCDVJLxT+3LyGZECAABA9QhSIYTW502DqX0AAAA4HoJUCPE2m4hnRKpRpR4akco7WK6ScrfF1QAAACAYEaRCCPeQahqJsVFyRlX+adC5DwAAANUhSIUQglTTsNlsNJwAAADAMRGkQoTHY1RcWjnNjCDV+HxBioYTAAAAqIalQeqzzz7TRRddpPT0dNlsNr399tt++40xuu+++9SmTRvFxsZq6NCh2rJli98x+/fv16hRo5SYmKjk5GSNHz9ehYWFTfgpmkZhaYWMJLtNinNyH6nG5uvcx9Q+AAAAVMPSIFVUVKSTTjpJM2fOrHb/jBkz9Nxzz2n27NlatWqV4uPjNWzYMJWUHJ5uNWrUKK1fv16LFy/WggUL9Nlnn+m6665rqo/QZA4Ul0mSkuOcstlsFlcT/g537mNqHwAAAKqydI7Y8OHDNXz48Gr3GWP0zDPP6J577tHFF18sSfrnP/+p1NRUvf3227ryyiu1ceNGLVy4UF999ZVOO+00SdLzzz+vCy64QE888YTS09Ob7LM0tgPF5ZKk5nHRFlcSGZjaBwAAgGMJ2jVS27dvV1ZWloYOHerblpSUpAEDBmjFihWSpBUrVig5OdkXoiRp6NChstvtWrVqVY2vXVpaqvz8fL+fYLe/qHJEqkW80+JKIoN3al82U/sAAABQjaANUllZWZKk1NRUv+2pqam+fVlZWUpJSfHbHxUVpRYtWviOqc706dOVlJTk+2nXrl2Aqw8879S+5nEEqabgm9qXz9Q+AAAAVBW0QaoxTZ06VXl5eb6fnTt3Wl3ScR0oIkg1Je+IFPeRAgAAQHWCNkilpaVJkrKzs/22Z2dn+/alpaUpJyfHb39FRYX279/vO6Y6LpdLiYmJfj/BrLTCraKyytbnzeNZI9UUvCNSvxSVqdztsbgaAAAABJugDVKdOnVSWlqalixZ4tuWn5+vVatWKSMjQ5KUkZGh3NxcrVmzxnfM0qVL5fF4NGDAgCavubF4G03EOx1yRdH6vCm0iHPKFVX55/HzgYMWVwMAAIBgY2nXvsLCQm3dutX3ePv27frmm2/UokULtW/fXjfffLMeeughde3aVZ06ddK9996r9PR0XXLJJZKknj176vzzz9e1116r2bNnq7y8XBMnTtSVV14ZXh37vNP6aDTRZOx2mzq1itcPWQXavq9IHVvFW10SAAAAgoilQWr16tX6zW9+43s8efJkSdKYMWM0d+5cTZkyRUVFRbruuuuUm5urQYMGaeHChYqJifE955VXXtHEiRM1ZMgQ2e12jRw5Us8991yTf5bGRKMJa3iD1I/7ivSb4x8OAACACGJpkDr77LNljKlxv81m07Rp0zRt2rQaj2nRooVeffXVxigvaOz3NZpgfVRT6nRoFOqnfUUWVwIAAIBgE7RrpHBY7qE1UtxDqml5p/NtJ0gBAADgKASpIOfxGF+QYmpf0zqRIAUAAIAaEKSCXH5JudzGKMpuU7MYS2diRhzv1L7deQdVUu62uBoAAAAEE4JUkNt/qNFEcly0bDabxdVElhbxTiXGRMkYaccvxVaXAwAAgCBCkApyB4oOrY9iWl+Ts9ls6tQ6QZK0fV+hxdUAAAAgmBCkgpyv9TmNJizRqWWcJOlH1kkBAADgCASpIOe7GS8jUpbo1KpyRIoW6AAAADgSQSrIHfB27IvnHlJW6NSazn0AAACoiiAVxA6WuXXwULc4RqSsQQt0AAAAVIcgFcS866OaxUQp2sGpsoL3prz7CsuUX1JucTUAAAAIFlydBzFfowlGoyyT4IpS62YuSayTAgAAwGEEqSDmbX3ePI71UVbqxPQ+AAAAHIUgFcT2FpZKklrGuyyuJLJ510n9uJcgBQAAgEoEqSBljJSdXyJJSk0iSFnJOyL10y8EKQAAAFQiSAWpwgqptMIjh93GiJTFOjK1DwAAAEchSAWp/WWVpyalmUsOu83iaiKbrwX63iIZYyyuBgAAAMGAIBWkDpRWhqfUxBiLK0H7lnGy2aSC0grtKyyzuhwAAAAEAYJUkNpfVhmk0ghSlnNFOdS2eawk1kkBAACgEkEqGDmilOcNUkkEqWDQseXh6X0AAAAAQSoIOVt3kkc2xUTblRgTZXU50OF1Utv2FVpcCQAAAIIBQSoIOdt0k1S5Pspmo9FEMOielihJ+iYz19pCAAAAEBQIUkHIdShIsT4qePyqUwtJ0tqduSqtcFtcDQAAAKxGkApCrvTDI1IIDp1bx6tVgktlFR59uzPP6nIAAABgMYJUkCkq8yi6ZTtJUmoiN+INFjabTQMOjUqt+vEXi6sBAACA1QhSQWbrgXJJUpzDKM5Jo4lgMuDEQ0Fq+36LKwEAAIDVCFJBZssvlUGqhctjcSU42oBOLSVJa3YcULmb8wMAABDJGPIIMlv3l0mSWjiNxZVEpo0bN9a4z2OMEpw2FZa59cbSL9W9pbPWr9uqVSu1b98+ECUCAAAgCBCkgogxRpv3V45INXcRpJpS/v69kqSrr776mMe1vvRuxXXL0J/ufUL5q/5b69ePjYvTDxs3EqYAAADCBEEqiOzJK1FuiUfG41ZyNEGqKR0szJckjbj+bnXv17/G47bk2/VdrtTj/DEaNHpUrV47O3ObXnnsdu3bt48gBQAAECYIUkFkb0GpTmjm0I9btiqqIxfcVmiZ3kFtu/aucb+zoETffblTB8qjlN65m+x2bpgMAAAQiWg2EUROapes54enKOtft1ldCmrQKsElZ5RdZW6P9haWWl0OAAAALEKQCkaeCqsrQA3sNpvSkypvlPxz7kGLqwEAAIBVCFJAHbVtHidJ+vkAQQoAACBSEaSAOjohOVZS5YiUMTQFAQAAiEQEKaCOUpq55HTYVVrhUeb+YqvLAQAAgAUIUkAd2e029WqTKElak3nA4moAAABgBYIUUA+ntE+WzSbt3H9QOfklVpcDAACAJkaQAuohMTZaXVMSJDEqBQAAEIkIUkA99e/QXJK0JadQ+QfLLa4GAAAATYkgBdRTSrMYtW8RJ2OktZm5VpcDAACAJkSQAhrAOyr1/e48HSx3W1wNAAAAmgpBCmiAds1j1TrBpQqP0ZqfWCsFAAAQKQhSQAPYbDad3qlyVGpN5gF9tyvX2oIagcdjlJVXop37i7kBMQAAwCFRVhcAhLquKc10esdSffXTAX2yaa+cDrt6HLrPVKha+eMv+n//264tOQXanXtQ5e7KANU1JUG/PSldF52Uro6t4i2uEgAAwDoEKSAAMk5sqbIKj77dladFG7PljLLrxNYJVpdVZ2szD+jJRZv1+dZ9ftsddptsquxQ+OTizXpy8Wb9unNL3Tm8h/q1TbakVgAAACsRpIAAsNlsOqtba5VVeLQxq0Dvr9ujHmmJOr1jc6tLq5UNu/P11OJN+nhjjiQp2mHTFae304X90mU/eEC2g3kqqTBa9XOJPs88qO9yyvTFtl/0278u1+D2Mfp9n2ZKTajff05atWql9u3bB/LjAAAANLqwCVIzZ87U448/rqysLJ100kl6/vnn9atf/crqshBBbDabhvZMlUfSpqwCbdiTr4178tUuziFX+74qrQi+9UVbcwr19Meb9f53eyRJdps08tS2mjSkq9q1iFNmZqZ6/OokHSwu9nueI7G1kgdfo/jeZ+t/mSX6bHuBijZ8pvzV76g858c61RAbF6cfNm4kTAEAgJASFkHqP//5jyZPnqzZs2drwIABeuaZZzRs2DBt2rRJKSkpVpeHCGK323R+7zSd1DZJX27fr59+KVZmsUNpV03XNW9nqe/q5erfvrm6piaoS0qCOrdOUHKcs0lr3HWgWAu/z9KH32dpzY7DnQYv7NdGt5zbTZ2PmJK4b98+HSwu1qg7Hldq+85VXiu3zK11uVJOSbQS+g5RQt8hauXyqEO8Ry1dHiVESTZbzbVkZ27TK4/drn379hGkAACIIMYYFZZWKLe4XLnF5TpQXKZOreLVrkWc1aXVWlgEqaeeekrXXnutxo0bJ0maPXu23n//ff3jH//QnXfeaXF1iERtkmJ18cknKDu/RF+s/0k/Zh+QmrXS2szcKjfvjYu2qWWsQy3jHGoRY1e80664aJviou1y2iW7zSa7TbLbK0eMHIceexlJ5eXlioqKlnfMq8JjVOY2KnNLJRUe7S1yK6fIrexDP0c6Pd2lq/o0U8dkKW/nZn298/C+jRs3SpJS23dW2669q3zOtpL6SMrKK9HanQe0NadQ+0rt2lda2RA0JtqutMQYJbiiFBPtUKzToWiHXTabZJdNJS3tiut5lj7PPKg9UXtktx07eAGAlQLduDTQ8xQCX1/gZ1IE/3cYfLNHjtQY5dXlPP+y7xcVFBYc8xiPkcoqKq9DSt1ScblHBWUeFZR6VFhmKv9d5lFhmUcVHv/n3n1BT1175on1+RiWCPkgVVZWpjVr1mjq1Km+bXa7XUOHDtWKFSuqfU5paalKS0t9j/Py8iRJ+fn5jVtsLRQWFkqSdm1Zr9KDxcc5um6yM7dJkrJ+2qxt8YFP+435+qFce2LmWv380pNyJLaWK72HnKmdFdUiXdEtTlBUs9YqLJUKC6UdAX3XmhnjUenPG3Vwy0oVb/1SO4oO6I3jPGfzd6uP+/vYTVL75tKOQof2ltmUW2pTcalNPx76na5Jy2ET9MSy3dKy3XX7IAAAIOR5ykvlKS2UKS1U/t4k5ee3srokXyY4XrC2mWCP3sexe/dunXDCCfriiy+UkZHh2z5lyhQtW7ZMq1atqvKcBx54QH/5y1+askwAAAAAIWTnzp1q27ZtjftDfkSqPqZOnarJkyf7Hns8Hu3fv18tW7aUzaJ5Rfn5+WrXrp127typxMTQvgdROOM8hQbOU2jgPIUGzlNo4DyFBs5TaDDGqKCgQOnp6cc8LuSDVKtWreRwOJSdne23PTs7W2lpadU+x+VyyeVy+W1LTk5urBLrJDExkT+sEMB5Cg2cp9DAeQoNnKfQwHkKDZyn4JeUlHTcY+xNUEejcjqd6t+/v5YsWeLb5vF4tGTJEr+pfgAAAAAQKCE/IiVJkydP1pgxY3TaaafpV7/6lZ555hkVFRX5uvgBAAAAQCCFRZC64oortHfvXt13333KysrSySefrIULFyo1NdXq0mrN5XLp/vvvrzLlEMGF8xQaOE+hgfMUGjhPoYHzFBo4T+El5Lv2AQAAAEBTC/k1UgAAAADQ1AhSAAAAAFBHBCkAAAAAqCOCFAAAAADUEUEqSMycOVMdO3ZUTEyMBgwYoC+//NLqkkLSZ599posuukjp6emy2Wx6++23/fYbY3TfffepTZs2io2N1dChQ7Vlyxa/Y/bv369Ro0YpMTFRycnJGj9+vAoLC/2O+e677zR48GDFxMSoXbt2mjFjRpVa5s+frx49eigmJkZ9+/bVBx98UOdawtX06dN1+umnq1mzZkpJSdEll1yiTZs2+R1TUlKiCRMmqGXLlkpISNDIkSOr3Hg7MzNTI0aMUFxcnFJSUnT77beroqLC75hPP/1Up556qlwul7p06aK5c+dWqed4f3+1qSUczZo1S/369fPdODIjI0Mffvihbz/nKPg8+uijstlsuvnmm33bOE/B4YEHHpDNZvP76dGjh28/5yk4/Pzzz7r66qvVsmVLxcbGqm/fvlq9erVvP9cR8GNguddee804nU7zj3/8w6xfv95ce+21Jjk52WRnZ1tdWsj54IMPzN13323efPNNI8m89dZbfvsfffRRk5SUZN5++23z7bffmt/+9remU6dO5uDBg75jzj//fHPSSSeZlStXmv/973+mS5cu5qqrrvLtz8vLM6mpqWbUqFHm+++/N//+979NbGysefHFF33HLF++3DgcDjNjxgyzYcMGc88995jo6Gizbt26OtUSroYNG2bmzJljvv/+e/PNN9+YCy64wLRv394UFhb6jvnTn/5k2rVrZ5YsWWJWr15tzjjjDPPrX//at7+iosL06dPHDB061Kxdu9Z88MEHplWrVmbq1Km+Y3788UcTFxdnJk+ebDZs2GCef/5543A4zMKFC33H1Obv73i1hKt3333XvP/++2bz5s1m06ZN5q677jLR0dHm+++/N8ZwjoLNl19+aTp27Gj69etnbrrpJt92zlNwuP/++03v3r3Nnj17fD979+717ec8WW///v2mQ4cOZuzYsWbVqlXmxx9/NB999JHZunWr7xiuI3AkglQQ+NWvfmUmTJjge+x2u016erqZPn26hVWFvqODlMfjMWlpaebxxx/3bcvNzTUul8v8+9//NsYYs2HDBiPJfPXVV75jPvzwQ2Oz2czPP/9sjDHmhRdeMM2bNzelpaW+Y+644w7TvXt33+PLL7/cjBgxwq+eAQMGmOuvv77WtUSSnJwcI8ksW7bMGFP5XURHR5v58+f7jtm4caORZFasWGGMqQzNdrvdZGVl+Y6ZNWuWSUxM9J2bKVOmmN69e/u91xVXXGGGDRvme3y8v7/a1BJJmjdvbv7f//t/nKMgU1BQYLp27WoWL15szjrrLF+Q4jwFj/vvv9+cdNJJ1e7jPAWHO+64wwwaNKjG/VxH4GhM7bNYWVmZ1qxZo6FDh/q22e12DR06VCtWrLCwsvCzfft2ZWVl+X3XSUlJGjBggO+7XrFihZKTk3Xaaaf5jhk6dKjsdrtWrVrlO+bMM8+U0+n0HTNs2DBt2rRJBw4c8B1z5Pt4j/G+T21qiSR5eXmSpBYtWkiS1qxZo/Lycr/vp0ePHmrfvr3fuerbt6/fjbeHDRum/Px8rV+/3nfMsc5Dbf7+alNLJHC73XrttddUVFSkjIwMzlGQmTBhgkaMGFHlu+Q8BZctW7YoPT1dJ554okaNGqXMzExJnKdg8e677+q0007T7373O6WkpOiUU07R3//+d99+riNwNIKUxfbt2ye32+33H0ZJSk1NVVZWlkVVhSfv93ms7zorK0spKSl++6OiotSiRQu/Y6p7jSPfo6Zjjtx/vFoihcfj0c0336yBAweqT58+kiq/H6fTqeTkZL9jj/4O63se8vPzdfDgwVr9/dWmlnC2bt06JSQkyOVy6U9/+pPeeust9erVi3MURF577TV9/fXXmj59epV9nKfgMWDAAM2dO1cLFy7UrFmztH37dg0ePFgFBQWcpyDx448/atasWeratas++ugj3XDDDZo0aZLmzZsniesIVBVldQEAItuECRP0/fff6/PPP7e6FFSje/fu+uabb5SXl6c33nhDY8aM0bJly6wuC4fs3LlTN910kxYvXqyYmBiry8ExDB8+3Pfvfv36acCAAerQoYNef/11xcbGWlgZvDwej0477TQ98sgjkqRTTjlF33//vWbPnq0xY8ZYXB2CESNSFmvVqpUcDkeVbjjZ2dlKS0uzqKrw5P0+j/Vdp6WlKScnx29/RUWF9u/f73dMda9x5HvUdMyR+49XSySYOHGiFixYoE8++URt27b1bU9LS1NZWZlyc3P9jj/6O6zveUhMTFRsbGyt/v5qU0s4czqd6tKli/r376/p06frpJNO0rPPPss5ChJr1qxRTk6OTj31VEVFRSkqKkrLli3Tc889p6ioKKWmpnKeglRycrK6deumrVu38vcUJNq0aaNevXr5bevZs6dvCibXETgaQcpiTqdT/fv315IlS3zbPB6PlixZooyMDAsrCz+dOnVSWlqa33edn5+vVatW+b7rjIwM5ebmas2aNb5jli5dKo/HowEDBviO+eyzz1ReXu47ZvHixerevbuaN2/uO+bI9/Ee432f2tQSzowxmjhxot566y0tXbpUnTp18tvfv39/RUdH+30/mzZtUmZmpt+5Wrdund//YC1evFiJiYm+/yE83nmozd9fbWqJJB6PR6WlpZyjIDFkyBCtW7dO33zzje/ntNNO06hRo3z/5jwFp8LCQm3btk1t2rTh7ylIDBw4sMqtODZv3qwOHTpI4joC1bC62wUqW5G6XC4zd+5cs2HDBnPdddeZ5ORkv848qJ2CggKzdu1as3btWiPJPPXUU2bt2rVmx44dxpjKVqHJycnmnXfeMd999525+OKLq21besopp5hVq1aZzz//3HTt2tWvbWlubq5JTU0111xzjfn+++/Na6+9ZuLi4qq0LY2KijJPPPGE2bhxo7n//vurbVt6vFrC1Q033GCSkpLMp59+6tcKuLi42HfMn/70J9O+fXuzdOlSs3r1apORkWEyMjJ8+72tgM877zzzzTffmIULF5rWrVtX2wr49ttvNxs3bjQzZ86sthXw8f7+jldLuLrzzjvNsmXLzPbt2813331n7rzzTmOz2cyiRYuMMZyjYHVk1z5jOE/B4tZbbzWffvqp2b59u1m+fLkZOnSoadWqlcnJyTHGcJ6CwZdffmmioqLMww8/bLZs2WJeeeUVExcXZ15++WXfMVxH4EgEqSDx/PPPm/bt2xun02l+9atfmZUrV1pdUkj65JNPjKQqP2PGjDHGVLYLvffee01qaqpxuVxmyJAhZtOmTX6v8csvv5irrrrKJCQkmMTERDNu3DhTUFDgd8y3335rBg0aZFwulznhhBPMo48+WqWW119/3XTr1s04nU7Tu3dv8/777/vtr00t4aq6cyTJzJkzx3fMwYMHzZ///GfTvHlzExcXZy699FKzZ88ev9f56aefzPDhw01sbKxp1aqVufXWW015ebnfMZ988ok5+eSTjdPpNCeeeKLfe3gd7++vNrWEoz/84Q+mQ4cOxul0mtatW5shQ4b4QpQxnKNgdXSQ4jwFhyuuuMK0adPGOJ1Oc8IJJ5grrrjC7/5EnKfg8N5775k+ffoYl8tlevToYf72t7/57ec6AkeyGWOMNWNhAAAAABCaWCMFAAAAAHVEkAIAAACAOiJIAQAAAEAdEaQAAAAAoI4IUgAAAABQRwQpAAAAAKgjghQAAAAA1BFBCgAAAADqiCAFAAAAAHVEkAIAhIyxY8fqkksusboMAAAIUgAAAABQVwQpAEBIOvvsszVp0iRNmTJFLVq0UFpamh544AG/Y3Jzc3X99dcrNTVVMTEx6tOnjxYsWODb/9///le9e/eWy+VSx44d9eSTT/o9v2PHjnrooYc0evRoJSQkqEOHDnr33Xe1d+9eXXzxxUpISFC/fv20evVqv+d9/vnnGjx4sGJjY9WuXTtNmjRJRUVFjfZdAACaHkEKABCy5s2bp/j4eK1atUozZszQtGnTtHjxYkmSx+PR8OHDtXz5cr388svasGGDHn30UTkcDknSmjVrdPnll+vKK6/UunXr9MADD+jee+/V3Llz/d7j6aef1sCBA7V27VqNGDFC11xzjUaPHq2rr75aX3/9tTp37qzRo0fLGCNJ2rZtm84//3yNHDlS3333nf7zn//o888/18SJE5v0uwEANC6b8f6XHwCAIDd27Fjl5ubq7bff1tlnny23263//e9/vv2/+tWvdM455+jRRx/VokWLNHz4cG3cuFHdunWr8lqjRo3S3r17tWjRIt+2KVOm6P3339f69eslVY5IDR48WP/6178kSVlZWWrTpo3uvfdeTZs2TZK0cuVKZWRkaM+ePUpLS9Mf//hHORwOvfjii77X/fzzz3XWWWepqKhIMTExjfLdAACaFiNSAICQ1a9fP7/Hbdq0UU5OjiTpm2++Udu2basNUZK0ceNGDRw40G/bwIEDtWXLFrnd7mrfIzU1VZLUt2/fKtu87/vtt99q7ty5SkhI8P0MGzZMHo9H27dvr+9HBQAEmSirCwAAoL6io6P9HttsNnk8HklSbGxswN/DZrPVuM37voWFhbr++us1adKkKq/Vvn37gNQEALAeQQoAEJb69eunXbt2afPmzdWOSvXs2VPLly/327Z8+XJ169bNt46qPk499VRt2LBBXbp0qfdrAACCH1P7AABh6ayzztKZZ56pkSNHavHixdq+fbs+/PBDLVy4UJJ06623asmSJXrwwQe1efNmzZs3T3/961912223Neh977jjDn3xxReaOHGivvnmG23ZskXvvPMOzSYAIMwQpAAAYeu///2vTj/9dF111VXq1auXpkyZ4lv/dOqpp+r111/Xa6+9pj59+ui+++7TtGnTNHbs2Aa9Z79+/bRs2TJt3rxZgwcP1imnnKL77rtP6enpAfhEAIBgQdc+AAAAAKgjRqQAAAAAoI4IUgAAAABQRwQpAAAAAKgjghQAAAAA1BFBCgAAAADqiCAFAAAAAHVEkAIAAACAOiJIAQAAAEAdEaQAAAAAoI4IUgAAAABQRwQpAAAAAKij/w+RPx6XVku1XwAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Load the dataset into a Pandas DataFrame\n",
        "df = pd.read_csv('marketing_campaign.csv')\n",
        "\n",
        "# Plot a histogram of customer income\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.histplot(df['Income'], bins=30, kde=True)\n",
        "plt.title('Distribution of Customer Income')\n",
        "plt.xlabel('Income')\n",
        "plt.ylabel('Frequency')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NZ86fszgIZwy"
      },
      "source": [
        "This histogram provides a clear visualization of the income distribution among the population under study. The data indicates that a substantial majority of individuals have incomes below the 1 million mark. This suggests that most people within this dataset earn salaries or revenues within a certain range and do not reach the upper limit of income.\n",
        "\n",
        "Furthermore, it is worth noting that there is a notable outlier in this dataset, an individual whose income exceeds 6 million. This outlier significantly deviates from the norm, and further investigation might be needed to understand the circumstances behind such an exceptional income.\n",
        "\n",
        "While there are a few customers whose incomes are near the 2 million mark, they remain a minority. The bulk of the dataset falls into the range of 200,000 to 800,000, indicating that a significant portion of individuals have earnings within this band.\n",
        "\n",
        "However, it's particularly interesting to observe that a substantial number of individuals, roughly 750 customers, earn incomes between 400,000 and 600,000. This segment appears to be a key focus, as it represents a significant portion of the population and their financial behaviors and preferences could have a substantial impact on economic decisions and trends within the dataset.\n",
        "\n",
        "In summary, this histogram provides a concise yet insightful overview of income distribution within the dataset, highlighting income disparities, the presence of outliers, and concentrations within specific income brackets."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aRpn_vrZsQEC"
      },
      "source": [
        "**2. Create a boxplot for the amount spent on different product categories. Comment on your finding.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 651
        },
        "id": "0TUAValksYsV",
        "outputId": "ab515d25-e806-4c6b-8557-c1f17319d287"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Create a boxplot for the amount spent on different product categories\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.boxplot(data=df[['MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts', 'MntGoldProds']])\n",
        "plt.title('Amount Spent on Product Categories (Boxplot)')\n",
        "plt.xlabel('Product Categories')\n",
        "plt.ylabel('Amount Spent')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4NqAmi0XW5nE"
      },
      "source": [
        "The box plot visually represents the amount spent on different product categories, including wines, fruits, meat, fish, sweet products, and gold. Upon analysis, it becomes evident that most categories contain a significant number of outliers. Notably, the category with the highest maximum spending is meat products, indicating potentially high-value transactions. Wines also stand out, being the second highest in terms of spending, making them a notable contributor to overall revenue. On the other hand, fruits and sweet products appear to yield lower revenues in comparison to the other categories. In summary, wines outperform other product categories in terms of sales and profit, while meat products exhibit a high variance in spending.\n",
        "\n",
        "Additionally, this box plot provides valuable insights into the distribution of spending within these product categories. The presence of numerous outliers suggests that within each category, there are some significant transactions that deviate from the norm. These outliers could represent exceptionally high-value purchases or, conversely, unusually low-value ones.\n",
        "\n",
        "The prominence of meat products as having the highest maximum spending implies that there are customers willing to make substantial purchases in this category. It might also indicate that high-value cuts or specialty items within the meat products section are particularly sought after.\n",
        "\n",
        "Wines, as the second highest contributor to spending, are significant players in this analysis. Their performance in terms of revenue suggests they are both popular and profitable. This could be due to a variety of factors, including the diversity of wine options and their broad appeal to a range of consumers.\n",
        "\n",
        "On the flip side, the limited revenue generated by fruits and sweet products indicates that these categories might require further examination. Strategies to boost sales or profit within these segments may be warranted, as their current performance is not on par with the other categories.\n",
        "\n",
        "In summary, the box plot sheds light on the financial dynamics of these product categories, highlighting variations in spending and pinpointing areas where further analysis or strategic adjustments might be necessary. It's a valuable tool for understanding the distribution of expenditure and the overall performance of each category within the dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-1rZYBYjsU0b"
      },
      "source": [
        "**3. Generate a correlation heatmap between the numerical features. Identify and comment on a few variables that have high (negative or positive) correlation with \"Revenue\".**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "_DePGLbNsYKX",
        "outputId": "b976a0eb-5a69-4924-c1e6-324c3cfe0962"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-26-32017c9532b8>:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  correlation_matrix = df.corr()\n"
          ]
        },
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Correlation with 'Revenue':\n",
            "\n",
            "Revenue                1.000000\n",
            "MntWines               0.950714\n",
            "NumCatalogPurchases    0.596816\n",
            "MntMeatProducts        0.582269\n",
            "Income                 0.567012\n",
            "NumStorePurchases      0.553604\n",
            "NumWebPurchases        0.428004\n",
            "MntFishProducts        0.406389\n",
            "MntSweetProducts       0.400581\n",
            "MntFruits              0.394503\n",
            "MntGoldProds           0.331454\n",
            "Recency                0.010872\n",
            "ID                    -0.012708\n",
            "Teenhome              -0.088886\n",
            "NumDealsPurchases     -0.101547\n",
            "Year_Birth            -0.113469\n",
            "NumWebVisitsMonth     -0.356118\n",
            "Kidhome               -0.436207\n",
            "Name: Revenue, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "# Generate a correlation heatmap between numerical features\n",
        "correlation_matrix = df.corr()\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
        "plt.title('Correlation Heatmap')\n",
        "plt.show()\n",
        "\n",
        "# Identify and comment on variables with high correlation with \"Revenue\"\n",
        "revenue_correlation = correlation_matrix['Revenue'].sort_values(ascending=False)\n",
        "print(\"\\nCorrelation with 'Revenue':\\n\")\n",
        "print(revenue_correlation)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xgd8ZYA75MM5"
      },
      "source": [
        "# Correlation with 'Revenue':\n",
        "\n",
        "Comment: The following variables exhibit either a high positive or high negative correlation with 'Revenue,' suggesting a significant impact on sales.\n",
        "\n",
        "| Variable             | Correlation with Revenue | Comment                                                 |\n",
        "|----------------------|--------------------------|---------------------------------------------------------|\n",
        "| Revenue              | 1.000000                 | 'Revenue' has a perfect positive correlation with itself (as expected). |\n",
        "| MntWines             | 0.950714                 | 'MntWines' has a very high positive correlation with 'Revenue.' |\n",
        "| NumCatalogPurchases  | 0.596816                 | 'NumCatalogPurchases' also has a notable positive correlation. |\n",
        "| MntMeatProducts      | 0.582269                 | 'MntMeatProducts' shows a strong positive correlation.   |\n",
        "| Income               | 0.567012                 | 'Income' exhibits a significant positive correlation with 'Revenue.' |\n",
        "| NumStorePurchases    | 0.553604                 | 'NumStorePurchases' has a strong positive correlation.    |\n",
        "| NumWebVisitsMonth    | -0.356118                | 'NumWebVisitsMonth' has a moderate negative correlation.    |\n",
        "| Kidhome              | -0.436207                | 'Kidhome' is negatively correlated with 'Revenue.'         |\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qYtzbJDiuXP9"
      },
      "source": [
        "**Part 3: Linear Regression Analysis (Explanatory)**\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "**1. Fit a linear regression model to identify the impact of various factors on the synthetic \"Revenue\" column.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MjgNjh0swHCB"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import statsmodels.api as sm\n",
        "\n",
        "# Load the dataset into a Pandas DataFrame\n",
        "df = pd.read_csv('marketing_campaign.csv')\n",
        "\n",
        "# Define the independent variables (features) for the linear regression model\n",
        "\n",
        "X = df[['Year_Birth', 'Income', 'Kidhome', 'Teenhome', 'Recency', 'MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts', 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases', 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth']]\n",
        "\n",
        "# Add a constant term to the independent variables (intercept)\n",
        "X = sm.add_constant(X)\n",
        "\n",
        "# Define the dependent variable (target)\n",
        "y = df['Revenue']\n",
        "\n",
        "# Fit the linear regression model\n",
        "model = sm.OLS(y, X).fit()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xf-6DOdDvAqP"
      },
      "source": [
        "**2. Evaluate the model and interpret the coefficients. Pay special attention to the significance of each coefficient.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6feCoM9rvCib",
        "outputId": "0b59c497-28f6-4ff3-ebba-d500ed9c697c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:                Revenue   R-squared:                       0.935\n",
            "Model:                            OLS   Adj. R-squared:                  0.934\n",
            "Method:                 Least Squares   F-statistic:                     1990.\n",
            "Date:                Wed, 11 Oct 2023   Prob (F-statistic):               0.00\n",
            "Time:                        01:07:40   Log-Likelihood:                -10348.\n",
            "No. Observations:                2240   AIC:                         2.073e+04\n",
            "Df Residuals:                    2223   BIC:                         2.083e+04\n",
            "Df Model:                          16                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=======================================================================================\n",
            "                          coef    std err          t      P>|t|      [0.025      0.975]\n",
            "---------------------------------------------------------------------------------------\n",
            "const                 -30.0775     94.976     -0.317      0.752    -216.328     156.173\n",
            "Year_Birth              0.0339      0.048      0.703      0.482      -0.061       0.128\n",
            "Income               9.561e-05   3.06e-05      3.124      0.002    3.56e-05       0.000\n",
            "Kidhome                10.7351      1.318      8.143      0.000       8.150      13.320\n",
            "Teenhome               -4.8380      1.204     -4.018      0.000      -7.199      -2.477\n",
            "Recency                -0.0248      0.018     -1.373      0.170      -0.060       0.011\n",
            "MntWines                0.2971      0.003    117.879      0.000       0.292       0.302\n",
            "MntFruits               0.0262      0.018      1.440      0.150      -0.009       0.062\n",
            "MntMeatProducts         0.0230      0.004      5.886      0.000       0.015       0.031\n",
            "MntFishProducts         0.0244      0.014      1.777      0.076      -0.003       0.051\n",
            "MntSweetProducts        0.0985      0.017      5.671      0.000       0.064       0.133\n",
            "MntGoldProds           -0.0359      0.012     -2.952      0.003      -0.060      -0.012\n",
            "NumDealsPurchases      -3.2647      0.346     -9.440      0.000      -3.943      -2.586\n",
            "NumWebPurchases        -2.3840      0.260     -9.179      0.000      -2.893      -1.875\n",
            "NumCatalogPurchases    -1.9542      0.307     -6.369      0.000      -2.556      -1.352\n",
            "NumStorePurchases      -2.5693      0.244    -10.519      0.000      -3.048      -2.090\n",
            "NumWebVisitsMonth      -1.1483      0.324     -3.546      0.000      -1.783      -0.513\n",
            "==============================================================================\n",
            "Omnibus:                      470.521   Durbin-Watson:                   1.840\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             5336.510\n",
            "Skew:                           0.654   Prob(JB):                         0.00\n",
            "Kurtosis:                      10.448   Cond. No.                     1.06e+07\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 1.06e+07. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ],
      "source": [
        "# Print the model summary\n",
        "print(model.summary())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YpNEyBed2C7M"
      },
      "source": [
        "# Interpreting the coefficients\n",
        "\n",
        "**Age (Year_Birth):** The age of customers doesn't seem to significantly impact their spending habits (p-value = 0.482). In simpler terms, getting older doesn't necessarily mean people spend more.\n",
        "\n",
        "**Income:** Higher-income customers tend to spend more. For every extra unit of income, there's an increase of about 0.00009561 units in spending.\n",
        "\n",
        "**Family Situation:**\n",
        "\n",
        "**Kidhome:** Families with more children tend to spend more (about 10.7351 units more for each additional child).\n",
        "Teenhome: Conversely, families with more teenagers tend to spend less (a decrease of about 4.8380 units for each additional teenager).\n",
        "Product Preferences:\n",
        "\n",
        "**MntWines:** Spending on wines sees a significant increase with each additional unit purchased.\n",
        "Other Product Categories: Similar trends are observed for other product categories, like fruits, meats, fish, and sweet products.\n",
        "\n",
        "**Online Activity:**\n",
        "\n",
        "**NumWebVisitsMonth:** More visits to the website are associated with lower spending, reducing by about 1.1483 units for each additional visit.\n",
        "\n",
        "\n",
        "**Model Performance:**\n",
        "\n",
        "**R-squared (0.935):** This indicates that about 93.5% of the variation in spending can be explained by the factors in our model. In other words, our model is quite effective in understanding customer spending patterns.\n",
        "\n",
        "**Durbin-Watson Statistic (1.840):** This suggests there might be patterns in spending over time that our model isn't capturing. It's like there are rhythms in customer behavior that our model isn't quite in sync with.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7TtxhEEe2kWd"
      },
      "source": [
        "**Part 4: Predictive Modeling**\n",
        "\n",
        "**1. Split the data into training and test sets.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pBy_sTN2wiUB"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "import math\n",
        "\n",
        "# Load the dataset into a Pandas DataFrame\n",
        "df = pd.read_csv('marketing_campaign.csv')\n",
        "# Define the independent variables (features) and dependent variable (target)\n",
        "X = df[['Year_Birth', 'Income', 'Kidhome', 'Teenhome', 'Recency', 'MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts', 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases', 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth']]\n",
        "y = df['Revenue']\n",
        "\n",
        "# Split the data into training and test sets (e.g., 80% training, 20% test)\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "71JJMaOb2rQ1"
      },
      "source": [
        "**2. Fit a predictive model of your choice to predict \"Revenue\".**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "2JZ30CNAzuU5",
        "outputId": "655f4a8a-c528-4622-e39d-1b77c22af5a8"
      },
      "outputs": [
        {
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            ],
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Initialize and fit a predictive model (e.g., Linear Regression)\n",
        "model = LinearRegression()\n",
        "model.fit(X_train, y_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L2OnmGuZ20NQ"
      },
      "source": [
        "**3. Make predictions on the test dataset**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Xjl-JjeQ2129"
      },
      "outputs": [],
      "source": [
        "# Make predictions on the test dataset\n",
        "y_pred = model.predict(X_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6uMNnS1M23sU"
      },
      "source": [
        "**4. Report the predictive performance using metrics like RMSE, R-squared, etc.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ehpZJtt42662",
        "outputId": "a0c1351c-b7e3-4829-d2b0-01ac5e21d32a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RMSE: 23.53\n",
            "R-squared: 0.94\n"
          ]
        }
      ],
      "source": [
        "# Calculate RMSE (Root Mean Squared Error)\n",
        "rmse = math.sqrt(mean_squared_error(y_test, y_pred))\n",
        "\n",
        "# Calculate R-squared (coefficient of determination)\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "# Print the RMSE and R-squared\n",
        "print(f\"RMSE: {rmse:.2f}\")\n",
        "print(f\"R-squared: {r2:.2f}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XI_DYdJoWZji"
      },
      "source": [
        "**Root Mean Square Error (RMSE):** The RMSE value of 23.53 suggests that the model's predictions are off by approximately 23.53 units when compared to the actual spending values.\n",
        "\n",
        "**R-squared (0.94):** The R-squared value of 0.94 indicates that 94% of the variability in the spending data is accounted for by our model. Our model captures 94% of the patterns present in the data. This result suggests that the factors considered in our model (like income, family situation, and product preferences) explain most of the differences in customer spending.\n",
        "\n"
      ]
    }
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