task1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "bb163b7b",
      "metadata": {
        "id": "bb163b7b"
      },
      "source": [
        "Step 1. Ensure that you have the dataset file named `transactions.csv` in the current directory.\n",
        "\n",
        "The dataset is a subset of https://www.kaggle.com/ealaxi/paysim1/version/2 which was originally generated as part of the following research:\n",
        "\n",
        "E. A. Lopez-Rojas , A. Elmir, and S. Axelsson. \"PaySim: A financial mobile money simulator for fraud detection\". In: The 28th European Modeling and Simulation Symposium-EMSS, Larnaca, Cyprus. 2016"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "72c898bd",
      "metadata": {
        "id": "72c898bd"
      },
      "source": [
        "Step 2. Complete the following exercises.\n",
        "\n",
        "0. Read the dataset (`transactions.csv`) as a Pandas dataframe. Note that the first row of the CSV contains the column names.\n",
        "\n",
        "0. Return the column names as a list from the dataframe.\n",
        "\n",
        "0. Return the first k rows from the dataframe.\n",
        "\n",
        "0. Return a random sample of k rows from the dataframe.\n",
        "\n",
        "0. Return a list of the unique transaction types.\n",
        "\n",
        "0. Return a Pandas series of the top 10 transaction destinations with frequencies.\n",
        "\n",
        "0. Return all the rows from the dataframe for which fraud was detected.\n",
        "\n",
        "0. Bonus. Return a dataframe that contains the number of distinct destinations that each source has interacted with to, sorted in descending order. You will find [groupby](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html) and [agg](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html) useful. The predefined aggregate functions are under `pandas.core.groupby.GroupBy.*`. See the [left hand column](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html)."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "2f146b9d",
      "metadata": {
        "id": "2f146b9d"
      },
      "source": [
        "Use the empty cell to test the exercises. If you modify the original `df`, you can rerun the cell containing `exercise_0`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "EDd3m5pMN01e",
      "metadata": {
        "id": "EDd3m5pMN01e",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def exercise_0(file):\n",
        "    df = pd.read_csv(file)\n",
        "    \n",
        "    return df\n",
        "\n",
        "def exercise_1(df):\n",
        "    list_of_columns = list(df.columns)\n",
        "    \n",
        "    return list_of_columns\n",
        "\n",
        "def exercise_2(df, k):\n",
        "    first_n_rows = df.head(k)\n",
        "    \n",
        "    return first_n_rows\n",
        "\n",
        "def exercise_3(df, k):\n",
        "    ramdom_n_rows = df.sample(k)\n",
        "    \n",
        "    return ramdom_n_rows\n",
        "\n",
        "def exercise_4(df):\n",
        "    list_of_unique = list(df.type.unique())\n",
        "    \n",
        "    return list_of_unique\n",
        "\n",
        "def exercise_5(df):\n",
        "    list_nameDest = list(df.nameDest)\n",
        "    nameDests = pd.Series(list_nameDest)\n",
        "    top_10_dest_counts = nameDests.value_counts().head(10)\n",
        "    \n",
        "    top10_frequency_series = pd.Series(list(top_10_dest_counts.index[0:10]))\n",
        "    \n",
        "    return top10_frequency_series\n",
        "\n",
        "def exercise_6(df):\n",
        "    isFraud = df.loc[df['isFraud'] == 1]\n",
        "    \n",
        "    return isFraud\n",
        "\n",
        "def exercise_7(df):\n",
        "    dest_interact = df.groupby('nameOrig')['nameDest'].agg(['nunique'])\n",
        "    dest_interact.sort_values(by=('nunique'), ascending=False, inplace=True)\n",
        "    \n",
        "    return dest_interact\n",
        "\n",
        "def visual_1(df):\n",
        "    pass\n",
        "\n",
        "def visual_2(df):\n",
        "    pass\n",
        "\n",
        "def exercise_custom(df):\n",
        "    pass\n",
        "    \n",
        "def visual_custom(df):\n",
        "    pass"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "346fc3fc",
      "metadata": {
        "id": "346fc3fc",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df = exercise_0('transactions.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "9158f0bd",
      "metadata": {
        "id": "9158f0bd",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "# Test exercises here\n",
        "ex1 = exercise_1(df)\n",
        "#print(ex1)\n",
        "ex2 = exercise_2(df, 3)\n",
        "#print(ex2)\n",
        "ex3 = exercise_3(df, 3)\n",
        "#print(ex3)\n",
        "ex4 = exercise_4(df)\n",
        "#print(ex4)\n",
        "ex5 = exercise_5(df)\n",
        "#print(ex5)\n",
        "ex6 = exercise_6(df)\n",
        "#print(ex6)\n",
        "ex7 = exercise_7(df)\n",
        "#print(ex7)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ed2dc2f4",
      "metadata": {
        "id": "ed2dc2f4"
      },
      "source": [
        "Create graphs for the following. \n",
        "1. Transaction types bar chart, Transaction types split by fraud bar chart\n",
        "1. Origin account balance delta v. Destination account balance delta scatter plot for Cash Out transactions\n",
        "\n",
        "Ensure that the graphs have the following:\n",
        " - Title\n",
        " - Labeled Axes\n",
        " \n",
        "The function plot the graph and then return a string containing a short description explaining the relevance of the chart."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "ab229b34",
      "metadata": {
        "id": "ab229b34",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Upon analyzing the charts, it becomes evident that fraud incidents are primarily associated with CASH_OUT and TRANSFER transactions in the second figure. This highlights the importance of the organization prioritizing these areas to effectively reduce potential fraud.'"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 600x1000 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "def visual_1(df):\n",
        "    def transaction_counts(df):\n",
        "        transaction_counts = df[\"type\"].value_counts()\n",
        "        \n",
        "        return transaction_counts\n",
        "        \n",
        "    def transaction_counts_split_by_fraud(df):\n",
        "        transaction_counts_by_fraud = df.groupby(by=['type', 'isFraud']).size()\n",
        "        \n",
        "        return transaction_counts_by_fraud\n",
        "\n",
        "    fig, axs = plt.subplots(2, figsize=(6,10))\n",
        "    transaction_counts(df).plot(ax=axs[0], kind='bar')\n",
        "    axs[0].set_title('Transaction types frequencies chart')\n",
        "    axs[0].set_xlabel('Transaction types')\n",
        "    axs[0].set_ylabel('Frequency')\n",
        "    transaction_counts_split_by_fraud(df).plot(ax=axs[1], kind='bar')\n",
        "    axs[1].set_title('Transaction types frequencies split by fraud chart')\n",
        "    axs[1].set_xlabel('Transaction types and Fraud')\n",
        "    axs[1].set_ylabel('Frequency')\n",
        "    fig.suptitle('Transaction types frequencies chart, Transaction types frequencies split by fraud chart')\n",
        "    fig.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
        "    for ax in axs:\n",
        "      for p in ax.patches:\n",
        "          ax.annotate(p.get_height(), (p.get_x(), p.get_height()))\n",
        "    return 'Upon analyzing the charts, it becomes evident that fraud incidents are primarily associated with CASH_OUT and TRANSFER transactions in the second figure. This highlights the importance of the organization prioritizing these areas to effectively reduce potential fraud.'\n",
        "\n",
        "visual_1(df)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "38ab2f47",
      "metadata": {
        "id": "38ab2f47",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'The figure indicates that the dataset is fundamentally sound, as the data points are predominantly clustered on the right-hand side. This is a result of the nature of CASH_OUT activity, which involves withdrawing money from accounts. The presence of the y=-x line illustrates instant settlement.'"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "def visual_2(df):\n",
        "    def query(df):\n",
        "        df['Origin balance delta'] = df['oldbalanceOrg'] - df['newbalanceOrig']\n",
        "        df['Dest balance delta'] = df['oldbalanceDest'] - df['newbalanceDest']\n",
        "        new_df_with_delta = df.loc[df['type'] == 'CASH_OUT']\n",
        "        \n",
        "        return new_df_with_delta\n",
        "    \n",
        "    plot = query(df).plot.scatter(x='Origin balance delta',y='Dest balance delta')\n",
        "    plot.set_title('Origin account balance delta v. Destination account balance delta scatter plot for Cash Out transactions')\n",
        "    plot.set_xlim(left=-1e3, right=1e3)\n",
        "    plot.set_ylim(bottom=-1e3, top=1e3)\n",
        "    return 'The figure indicates that the dataset is fundamentally sound, as the data points are predominantly clustered on the right-hand side. This is a result of the nature of CASH_OUT activity, which involves withdrawing money from accounts. The presence of the y=-x line illustrates instant settlement.'\n",
        "\n",
        "visual_2(df)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f572d06d",
      "metadata": {
        "id": "f572d06d"
      },
      "source": [
        "Use your newly-gained Pandas skills to find an insight from the dataset. You have full flexibility to go in whichever direction interests you. Please create a visual as above for this query. `visual_custom` should call `exercise_custom`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "5393e5c5",
      "metadata": {
        "id": "5393e5c5",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'The figure suggests that there may be some potential issues with fraud detection, as it is not effectively identifying fraudulent activities. Fortunately, the detection system is not erroneously flagging non-fraudulent activities.'"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "def exercise_custom(df):\n",
        "    counts = df[['isFraud', 'isFlaggedFraud']].value_counts()\n",
        "    return counts\n",
        "    \n",
        "def visual_custom(df):\n",
        "    axs = exercise_custom(df).plot(kind='bar')\n",
        "    axs.set_title('Check accuracy of fraud detection')\n",
        "    axs.set_xlabel('isFraud, isFlaggedFraud')\n",
        "    axs.set_ylabel('Frequency')\n",
        "    \n",
        "    return \"The figure suggests that there may be some potential issues with fraud detection, as it is not effectively identifying fraudulent activities. Fortunately, the detection system is not erroneously flagging non-fraudulent activities.\"\n",
        "\n",
        "visual_custom(df)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ddecc786",
      "metadata": {
        "id": "ddecc786"
      },
      "source": [
        "Submission\n",
        "\n",
        "1. Copy the exercises into `task1.py`.\n",
        "2. Upload `task1.py` to Forage."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "qpIxC3xgQpOo",
      "metadata": {
        "id": "qpIxC3xgQpOo"
      },
      "source": [
        "All done!\n",
        "\n",
        "Your work will be instrumental for our team's continued success."
      ]
    },
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      "id": "5b248517-3a8c-4d2e-8fd5-39c5e81ad1a0",
      "metadata": {},
      "outputs": [],
      "source": []
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