{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align:center\">\n",
    "    <a href=\"https://skills.network\" target=\"_blank\">\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n",
    "    </a>\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Finding Duplicates Lab**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Estimated time needed: **30** minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data wrangling is a critical step in preparing datasets for analysis, and handling duplicates plays a key role in ensuring data accuracy. In this lab, you will focus on identifying and removing duplicate entries from your dataset. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lab, you will perform the following:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Identify duplicate rows in the dataset and analyze their characteristics.\n",
    "2. Visualize the distribution of duplicates based on key attributes.\n",
    "3. Remove duplicate values strategically based on specific criteria.\n",
    "4. Outline the process of verifying and documenting duplicate removal.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hands on Lab\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install the needed library\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in /opt/conda/lib/python3.12/site-packages (3.0.0)\n",
      "Requirement already satisfied: numpy>=1.26.0 in /opt/conda/lib/python3.12/site-packages (from pandas) (2.4.1)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/lib/python3.12/site-packages (3.10.8)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (1.3.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (4.61.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (1.4.9)\n",
      "Requirement already satisfied: numpy>=1.23 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (2.4.1)\n",
      "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (24.2)\n",
      "Requirement already satisfied: pillow>=8 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (12.1.0)\n",
      "Requirement already satisfied: pyparsing>=3 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (3.3.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.12/site-packages (from matplotlib) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib) (1.17.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas\n",
    "!pip install matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import pandas module\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import matplotlib\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import textwrap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Load the dataset into a dataframe**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Read Data</h2>\n",
    "<p>\n",
    "We utilize the <code>pandas.read_csv()</code> function for reading CSV files. However, in this version of the lab, which operates on JupyterLite, the dataset needs to be downloaded to the interface using the provided code below.\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   ResponseId                      MainBranch                 Age  \\\n",
      "0           1  I am a developer by profession  Under 18 years old   \n",
      "1           2  I am a developer by profession     35-44 years old   \n",
      "2           3  I am a developer by profession     45-54 years old   \n",
      "3           4           I am learning to code     18-24 years old   \n",
      "4           5  I am a developer by profession     18-24 years old   \n",
      "\n",
      "            Employment RemoteWork   Check  \\\n",
      "0  Employed, full-time     Remote  Apples   \n",
      "1  Employed, full-time     Remote  Apples   \n",
      "2  Employed, full-time     Remote  Apples   \n",
      "3   Student, full-time        NaN  Apples   \n",
      "4   Student, full-time        NaN  Apples   \n",
      "\n",
      "                                    CodingActivities  \\\n",
      "0                                              Hobby   \n",
      "1  Hobby;Contribute to open-source projects;Other...   \n",
      "2  Hobby;Contribute to open-source projects;Other...   \n",
      "3                                                NaN   \n",
      "4                                                NaN   \n",
      "\n",
      "                                             EdLevel  \\\n",
      "0                          Primary/elementary school   \n",
      "1       Bachelor’s degree (B.A., B.S., B.Eng., etc.)   \n",
      "2    Master’s degree (M.A., M.S., M.Eng., MBA, etc.)   \n",
      "3  Some college/university study without earning ...   \n",
      "4  Secondary school (e.g. American high school, G...   \n",
      "\n",
      "                                           LearnCode  \\\n",
      "0                             Books / Physical media   \n",
      "1  Books / Physical media;Colleague;On the job tr...   \n",
      "2  Books / Physical media;Colleague;On the job tr...   \n",
      "3  Other online resources (e.g., videos, blogs, f...   \n",
      "4  Other online resources (e.g., videos, blogs, f...   \n",
      "\n",
      "                                     LearnCodeOnline  ... JobSatPoints_6  \\\n",
      "0                                                NaN  ...            NaN   \n",
      "1  Technical documentation;Blogs;Books;Written Tu...  ...            0.0   \n",
      "2  Technical documentation;Blogs;Books;Written Tu...  ...            NaN   \n",
      "3  Stack Overflow;How-to videos;Interactive tutorial  ...            NaN   \n",
      "4  Technical documentation;Blogs;Written Tutorial...  ...            NaN   \n",
      "\n",
      "  JobSatPoints_7 JobSatPoints_8 JobSatPoints_9 JobSatPoints_10  \\\n",
      "0            NaN            NaN            NaN             NaN   \n",
      "1            0.0            0.0            0.0             0.0   \n",
      "2            NaN            NaN            NaN             NaN   \n",
      "3            NaN            NaN            NaN             NaN   \n",
      "4            NaN            NaN            NaN             NaN   \n",
      "\n",
      "  JobSatPoints_11           SurveyLength SurveyEase ConvertedCompYearly JobSat  \n",
      "0             NaN                    NaN        NaN                 NaN    NaN  \n",
      "1             0.0                    NaN        NaN                 NaN    NaN  \n",
      "2             NaN  Appropriate in length       Easy                 NaN    NaN  \n",
      "3             NaN               Too long       Easy                 NaN    NaN  \n",
      "4             NaN              Too short       Easy                 NaN    NaN  \n",
      "\n",
      "[5 rows x 114 columns]\n"
     ]
    }
   ],
   "source": [
    "# Load the dataset directly from the URL\n",
    "file_path = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/VYPrOu0Vs3I0hKLLjiPGrA/survey-data-with-duplicate.csv\"\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Display the first few rows\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the data into a pandas dataframe:\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: If you are working on a local Jupyter environment, you can use the URL directly in the pandas.read_csv() function as shown below:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = pd.read_csv(\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/n01PQ9pSmiRX6520flujwQ/survey-data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Identify and Analyze Duplicates\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 1: Identify Duplicate Rows\n",
    "1. Count the number of duplicate rows in the dataset.\n",
    "3. Display the first few duplicate rows to understand their structure.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicate rows: 20\n",
      "(65457, 114)\n",
      "       ResponseId                      MainBranch                 Age  \\\n",
      "65437           1  I am a developer by profession  Under 18 years old   \n",
      "65438           2  I am a developer by profession     35-44 years old   \n",
      "65439           3  I am a developer by profession     45-54 years old   \n",
      "65440           4           I am learning to code     18-24 years old   \n",
      "65441           5  I am a developer by profession     18-24 years old   \n",
      "\n",
      "                Employment RemoteWork   Check  \\\n",
      "65437  Employed, full-time     Remote  Apples   \n",
      "65438  Employed, full-time     Remote  Apples   \n",
      "65439  Employed, full-time     Remote  Apples   \n",
      "65440   Student, full-time        NaN  Apples   \n",
      "65441   Student, full-time        NaN  Apples   \n",
      "\n",
      "                                        CodingActivities  \\\n",
      "65437                                              Hobby   \n",
      "65438  Hobby;Contribute to open-source projects;Other...   \n",
      "65439  Hobby;Contribute to open-source projects;Other...   \n",
      "65440                                                NaN   \n",
      "65441                                                NaN   \n",
      "\n",
      "                                                 EdLevel  \\\n",
      "65437                          Primary/elementary school   \n",
      "65438       Bachelor’s degree (B.A., B.S., B.Eng., etc.)   \n",
      "65439    Master’s degree (M.A., M.S., M.Eng., MBA, etc.)   \n",
      "65440  Some college/university study without earning ...   \n",
      "65441  Secondary school (e.g. American high school, G...   \n",
      "\n",
      "                                               LearnCode  \\\n",
      "65437                             Books / Physical media   \n",
      "65438  Books / Physical media;Colleague;On the job tr...   \n",
      "65439  Books / Physical media;Colleague;On the job tr...   \n",
      "65440  Other online resources (e.g., videos, blogs, f...   \n",
      "65441  Other online resources (e.g., videos, blogs, f...   \n",
      "\n",
      "                                         LearnCodeOnline  ... JobSatPoints_6  \\\n",
      "65437                                                NaN  ...            NaN   \n",
      "65438  Technical documentation;Blogs;Books;Written Tu...  ...            0.0   \n",
      "65439  Technical documentation;Blogs;Books;Written Tu...  ...            NaN   \n",
      "65440  Stack Overflow;How-to videos;Interactive tutorial  ...            NaN   \n",
      "65441  Technical documentation;Blogs;Written Tutorial...  ...            NaN   \n",
      "\n",
      "      JobSatPoints_7 JobSatPoints_8 JobSatPoints_9 JobSatPoints_10  \\\n",
      "65437            NaN            NaN            NaN             NaN   \n",
      "65438            0.0            0.0            0.0             0.0   \n",
      "65439            NaN            NaN            NaN             NaN   \n",
      "65440            NaN            NaN            NaN             NaN   \n",
      "65441            NaN            NaN            NaN             NaN   \n",
      "\n",
      "      JobSatPoints_11           SurveyLength SurveyEase ConvertedCompYearly  \\\n",
      "65437             NaN                    NaN        NaN                 NaN   \n",
      "65438             0.0                    NaN        NaN                 NaN   \n",
      "65439             NaN  Appropriate in length       Easy                 NaN   \n",
      "65440             NaN               Too long       Easy                 NaN   \n",
      "65441             NaN              Too short       Easy                 NaN   \n",
      "\n",
      "      JobSat  \n",
      "65437    NaN  \n",
      "65438    NaN  \n",
      "65439    NaN  \n",
      "65440    NaN  \n",
      "65441    NaN  \n",
      "\n",
      "[5 rows x 114 columns]\n"
     ]
    }
   ],
   "source": [
    "## Write your code here\n",
    "duplicate_rows = df[df.duplicated()]\n",
    "print('Number of duplicate rows:', len(duplicate_rows))\n",
    "print(df.shape)\n",
    "print(duplicate_rows.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2: Analyze Characteristics of Duplicates\n",
    "1. Identify duplicate rows based on selected columns such as MainBranch, Employment, and RemoteWork. Analyse which columns frequently contain identical values within these duplicate rows.\n",
    "2. Analyse the characteristics of rows that are duplicates based on a subset of columns, such as MainBranch, Employment, and RemoteWork. Determine which columns frequently have identical values across these rows.\n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total rows: 65457\n",
      "Rows with duplicates (subset-based): 64896\n",
      "Fraction of duplicates in each column\n",
      "Check: 1.0\n",
      "TBranch: 1.0\n",
      "ICorPM: 1.0\n",
      "Age: 0.9999\n",
      "EdLevel: 0.9999\n",
      "PurchaseInfluence: 0.9999\n",
      "BuildvsBuy: 0.9999\n",
      "SOVisitFreq: 0.9999\n",
      "SOAccount: 0.9999\n",
      "SOPartFreq: 0.9999\n"
     ]
    }
   ],
   "source": [
    "## Write your code here\n",
    "subset_cols = ['MainBranch', 'Employment', 'RemoteWork']\n",
    "dup_mask = df.duplicated(subset=subset_cols, keep=False)\n",
    "dup_rows = df[dup_mask].copy() # all rows that belong to duplicated groups\n",
    "print(\"Total rows:\", df.shape[0])\n",
    "print(\"Rows with duplicates (subset-based):\", df[df.duplicated(subset=subset_cols)].shape[0])\n",
    "\n",
    "cols_to_check = [c for c in df.columns if c not in subset_cols]\n",
    "frdupl = []\n",
    "for col in cols_to_check:\n",
    "    nunique = dup_rows[col].nunique(dropna=False) # number of unique values for this column\n",
    "    frdupl.append((col, round(((dup_rows[col].size - nunique) / dup_rows[col].size), 4)))\n",
    "frdupl = sorted(frdupl, key=lambda n:n[1], reverse=True)\n",
    "print('Fraction of duplicates in each column')\n",
    "for i in range(10):\n",
    "    print(*frdupl[i], sep=': ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 3: Visualize Duplicates Distribution\n",
    "1. Create visualizations to show the distribution of duplicates across different categories.\n",
    "2. Use bar charts or pie charts to represent the distribution of duplicates by Country and Employment.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset_cols = ['MainBranch', 'Employment', 'RemoteWork']\n",
    "dup_rows = df[df.duplicated(subset=subset_cols, keep=False)]\n",
    "\n",
    "def wrap_labels(ax, width=40):\n",
    "    labels = []\n",
    "    for label in ax.get_xticklabels():\n",
    "        text = label.get_text()\n",
    "        labels.append(textwrap.fill(text, width=width))\n",
    "    ax.set_xticklabels(labels, rotation=90)\n",
    "# Count duplicates per category for each subset column\n",
    "for col in subset_cols:\n",
    "    plt.figure(figsize=(10, 7))\n",
    "    colpl = dup_rows[col].value_counts()\n",
    "    if colpl.size > 10:\n",
    "        colpl = colpl.iloc[0:10]\n",
    "    ax = colpl.plot(kind='bar')\n",
    "    wrap_labels(ax)\n",
    "    plt.title(f\"Distribution of duplicates by {col}\")\n",
    "    plt.xlabel(col)\n",
    "    plt.ylabel(\"Count of duplicate rows\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colpl = dup_rows['Country'].value_counts()\n",
    "colpl1 = colpl.iloc[0:10]\n",
    "colpl1['Other'] = colpl.iloc[10:].sum()\n",
    "plt.figure(figsize=(12, 5))\n",
    "ax1 = colpl1.plot(kind='pie', autopct='%1.1f%%', labels=None)\n",
    "plt.title('Distribution of duplicates by country')\n",
    "plt.legend(labels=colpl1.index, loc='upper left')\n",
    "plt.tight_layout()\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4: Strategic Removal of Duplicates\n",
    "1. Decide which columns are critical for defining uniqueness in the dataset.\n",
    "2. Remove duplicates based on a subset of columns if complete row duplication is not a good criterion.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fraction of duplicates in each column\n",
      "ResponseId: 0.0003\n",
      "LanguageHaveWorkedWith: 0.6354\n",
      "LanguageWantToWorkWith: 0.6521\n",
      "ToolsTechHaveWorkedWith: 0.6962\n",
      "ToolsTechWantToWorkWith: 0.7472\n",
      "NEWCollabToolsHaveWorkedWith: 0.7835\n",
      "LanguageAdmired: 0.8115\n",
      "WebframeHaveWorkedWith: 0.8131\n",
      "ToolsTechAdmired: 0.8197\n",
      "WebframeWantToWorkWith: 0.8219\n"
     ]
    }
   ],
   "source": [
    "## Write your code here\n",
    "frdupl = []\n",
    "for col in df.columns:\n",
    "    nunique = df[col].nunique(dropna=False) # number of unique values for this column\n",
    "    frdupl.append((col, round(((df[col].size - nunique) / df[col].size), 4)))\n",
    "frdupl = sorted(frdupl, key=lambda n:n[1])\n",
    "print('Fraction of duplicates in each column')\n",
    "for i in range(10):\n",
    "    print(*frdupl[i], sep=': ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicate rows: 507\n"
     ]
    }
   ],
   "source": [
    "subset_cols_f = list(df.drop(['ResponseId'], axis=1).columns)\n",
    "dup_rows_f = df[df.duplicated(subset=subset_cols_f)]\n",
    "print('Number of duplicate rows:', dup_rows_f.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    65457.000000\n",
       "mean     32714.493591\n",
       "std      18892.431636\n",
       "min          1.000000\n",
       "25%      16354.000000\n",
       "50%      32716.000000\n",
       "75%      49076.000000\n",
       "max      65437.000000\n",
       "Name: ResponseId, dtype: float64"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.ResponseId.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(64950, 114)\n"
     ]
    }
   ],
   "source": [
    "df_f = df.drop_duplicates(subset=subset_cols_f)\n",
    "print(df_f.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verify and Document Duplicate Removal Process\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5: Documentation\n",
    "1. Document the process of identifying and removing duplicates.\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# Write your explanation here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Explain the reasoning behind selecting specific columns for identifying and removing duplicates.\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# Write your explanation here\n",
    "The ResponseId column has the lowest fraction of duplicates. By removing this row during the search for duplicates (507 rows instead of only 20) we can get a dataframe with much lower number of duplicates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary and Next Steps\n",
    "**In this lab, you focused on identifying and analyzing duplicate rows within the dataset.**\n",
    "\n",
    "- You employed various techniques to explore the nature of duplicates and applied strategic methods for their removal.\n",
    "- For additional analysis, consider investigating the impact of duplicates on specific analyses and how their removal affects the results.\n",
    "- This version of the lab is more focused on duplicate analysis and handling, providing a structured approach to deal with duplicates in a dataset effectively.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--\n",
    "## Change Log\n",
    "|Date (YYYY-MM-DD)|Version|Changed By|Change Description|\n",
    "|-|-|-|-|\n",
    "|2024-11- 05|1.3|Madhusudhan Moole|Updated lab|\n",
    "|2024-10-28|1.2|Madhusudhan Moole|Updated lab|\n",
    "|2024-09-24|1.1|Madhusudhan Moole|Updated lab|\n",
    "|2024-09-23|1.0|Raghul Ramesh|Created lab|\n",
    "--!>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright © IBM Corporation. All rights reserved.\n"
   ]
  }
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