{
 "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": [
    "# **Line Charts**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Estimated time needed: **30** minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lab, you will focus on using line charts to analyze trends over time and across different categories in a dataset.\n",
    "\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": [
    "- Track trends in compensation across age groups and specific age ranges.\n",
    "\n",
    "- Analyze job satisfaction trends based on experience level.\n",
    "\n",
    "- Explore and interpret line charts to identify patterns and trends.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup: Working with the Database\n",
    "**Install the needed libraries**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": 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) (2.4.2)\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"
     ]
    }
   ],
   "source": [
    "!pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "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) (2.4.2)\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) (12.1.1)\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",
      "Requirement already satisfied: seaborn in /opt/conda/lib/python3.12/site-packages (0.13.2)\n",
      "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /opt/conda/lib/python3.12/site-packages (from seaborn) (2.4.2)\n",
      "Requirement already satisfied: pandas>=1.2 in /opt/conda/lib/python3.12/site-packages (from seaborn) (3.0.0)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /opt/conda/lib/python3.12/site-packages (from seaborn) (3.10.8)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.61.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.9)\n",
      "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (24.2)\n",
      "Requirement already satisfied: pillow>=8 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (12.1.1)\n",
      "Requirement already satisfied: pyparsing>=3 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.3.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (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!=3.6.1,>=3.4->seaborn) (1.17.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib\n",
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Download and connect to the database file containing survey data.**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start, download and load the dataset into a `pandas` DataFrame.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 1: Download the dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2026-02-12 08:01:00--  https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/n01PQ9pSmiRX6520flujwQ/survey-data.csv\n",
      "Resolving cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)... 169.63.118.104\n",
      "Connecting to cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)|169.63.118.104|:443... connected.\n",
      "200 OKequest sent, awaiting response... \n",
      "Length: 159525875 (152M) [text/csv]\n",
      "Saving to: ‘survey-data.csv’\n",
      "\n",
      "survey-data.csv     100%[===================>] 152.13M  30.8MB/s    in 5.1s    \n",
      "\n",
      "2026-02-12 08:01:06 (30.1 MB/s) - ‘survey-data.csv’ saved [159525875/159525875]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget -O survey-data.csv https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/n01PQ9pSmiRX6520flujwQ/survey-data.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 2: Import necessary libraries and load the dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import textwrap\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load the data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"survey-data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the first few rows to understand the structure of the data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "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",
      "Initial dataframe: (65437, 114)\n"
     ]
    }
   ],
   "source": [
    "print(df.head())\n",
    "print('Initial dataframe:', df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 1: Trends in Compensation Over Age Groups\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1. Line Chart of Median `ConvertedCompYearly` by Age Group\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Track how the median yearly compensation (ConvertedCompYearly) changes across different age groups.\n",
    "\n",
    "- Use a line chart to visualize these trends.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_300/3280243353.py:10: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(xlabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Write your code here\n",
    "ca1 = df[[\"ConvertedCompYearly\", \"Age\"]].dropna().groupby(\"Age\", as_index=False).median()\n",
    "\n",
    "order = [7, 0, 1, 2, 3, 4, 5]\n",
    "ca1 = ca1.reindex(order)\n",
    "\n",
    "plt.figsize=(10, 6)\n",
    "ax = sns.lineplot(data=ca1, x=\"Age\", y=\"ConvertedCompYearly\")\n",
    "xlabels = [textwrap.fill(label.get_text(), width=10) for label in ax.get_xticklabels()]\n",
    "ax.set_xticklabels(xlabels)\n",
    "plt.title('Median Compensation by Age Group')\n",
    "plt.xlabel('Age group')\n",
    "plt.grid(True, linestyle='dashed')\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel('Median Compensation')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 2. Line Chart of Median `ConvertedCompYearly` for Ages 25 to 45\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For a closer look, plot a line chart focusing on the median compensation for respondents between ages 25 and 45.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_300/2617691546.py:8: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(xlabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Write your code here\n",
    "ca2 = (df[df.Age.isin([\"25-34 years old\", \"35-44 years old\"])][[\"ConvertedCompYearly\", \"Age\"]]\n",
    "       .dropna().groupby(\"Age\", as_index=False).median())\n",
    "\n",
    "plt.figsize=(10, 6)\n",
    "ax = sns.lineplot(data=ca2, x=\"Age\", y=\"ConvertedCompYearly\")\n",
    "xlabels = [textwrap.fill(label.get_text(), width=10) for label in ax.get_xticklabels()]\n",
    "ax.set_xticklabels(xlabels)\n",
    "plt.title('Median Compensation for Ages 25 to 44')\n",
    "plt.xlabel('Age group')\n",
    "plt.grid(True, linestyle='dashed')\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel('Median Compensation')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2: Trends in Job Satisfaction by Experience Level\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1. Line Chart of Job Satisfaction (`JobSatPoints_6`) by Experience Level\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use a column that approximates experience level to analyze how job satisfaction changes with experience.\n",
    "\n",
    "- If needed, substitute an available experience-related column for `Experience`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WorkExp\n"
     ]
    }
   ],
   "source": [
    "for c in df.columns:\n",
    "    if \"exp\" in c.lower():\n",
    "        print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    29450.000000\n",
       "mean        24.343232\n",
       "std         27.089360\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%         20.000000\n",
       "75%         30.000000\n",
       "max        100.000000\n",
       "Name: JobSatPoints_6, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.JobSatPoints_6.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_300/3348157748.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(xlabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Write your code here\n",
    "se = df[[\"JobSatPoints_6\", \"WorkExp\"]].dropna().groupby(\"WorkExp\", as_index=False).median()\n",
    "\n",
    "plt.figsize=(10, 6)\n",
    "ax = sns.lineplot(data=se, x=\"WorkExp\", y=\"JobSatPoints_6\")\n",
    "xlabels = [textwrap.fill(label.get_text(), width=10) for label in ax.get_xticklabels()]\n",
    "ax.set_xticklabels(xlabels)\n",
    "plt.title(\"Median Job Satisfaction by Experience Level\")\n",
    "plt.xlabel(\"Experience Level\")\n",
    "plt.grid(True, linestyle=\"dashed\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel('Median Job Satisfaction')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 3: Trends in Job Satisfaction and Compensation by Experience\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1.Line Chart of Median ConvertedCompYearly Over Experience Level\n",
    "\n",
    "- This line chart will track how median compensation (`ConvertedCompYearly`) changes with increasing experience.\n",
    "\n",
    "- Use a column such as `WorkExp` or another relevant experience-related column.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_300/3578051830.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(xlabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Write your code here\n",
    "ce = df[[\"ConvertedCompYearly\", \"WorkExp\"]].dropna().groupby(\"WorkExp\", as_index=False).median()\n",
    "\n",
    "plt.figsize=(10, 6)\n",
    "ax = sns.lineplot(data=ce, x=\"WorkExp\", y=\"ConvertedCompYearly\")\n",
    "xlabels = [textwrap.fill(label.get_text(), width=10) for label in ax.get_xticklabels()]\n",
    "ax.set_xticklabels(xlabels)\n",
    "plt.title(\"Median Compensation by Experience Level\")\n",
    "plt.xlabel(\"Experience Level\")\n",
    "plt.grid(True, linestyle=\"dashed\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel('Median Compensation')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 2.Line Chart of Job Satisfaction (`JobSatPoints_6`) Across Experience Levels\n",
    "\n",
    "- Create a line chart to explore trends in job satisfaction (`JobSatPoints_6`) based on experience level.\n",
    "\n",
    "- This chart will provide insight into how satisfaction correlates with experience over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_300/462392273.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(xlabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Write your code here\n",
    "se = df[[\"JobSat\", \"WorkExp\"]].dropna().groupby(\"WorkExp\", as_index=False).median()\n",
    "\n",
    "plt.figsize=(10, 6)\n",
    "ax = sns.lineplot(data=se, x=\"WorkExp\", y=\"JobSat\")\n",
    "xlabels = [textwrap.fill(label.get_text(), width=10) for label in ax.get_xticklabels()]\n",
    "ax.set_xticklabels(xlabels)\n",
    "plt.title(\"Median Job Satisfaction by Experience Level\")\n",
    "plt.xlabel(\"Experience Level\")\n",
    "plt.grid(True, linestyle=\"dashed\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.ylabel('Median Job Satisfaction')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Final Step: Review\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lab, you focused on analyzing trends in compensation and job satisfaction, specifically exploring how these metrics change with age and experience levels using line charts.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lab, you explored essential data visualization techniques with a focus on analyzing trends using line charts. You learned to:\n",
    "\n",
    "- Visualize the distribution of compensation across age groups to understand salary trends.\n",
    "\n",
    "- Track changes in median compensation over various experience levels, identifying how earnings progress with experience.\n",
    "\n",
    "- Examine trends in job satisfaction by experience, revealing how satisfaction varies throughout a developer's career.\n",
    "\n",
    "These analyses allow for a deeper understanding of how factors like age and experience influence job satisfaction and compensation. By using line charts, you gained insights into continuous data patterns, which are invaluable for interpreting professional trends in the developer community.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authors:\n",
    "Ayushi Jain\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other Contributors:\n",
    "- Rav Ahuja\n",
    "- Lakshmi Holla\n",
    "- Malika\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--\n",
    "## Change Log\n",
    "|Date (YYYY-MM-DD)|Version|Changed By|Change Description|\n",
    "|-|-|-|-|\n",
    "|2024-10-28|1.2|Madhusudhan Moole|Updated lab|\n",
    "|2024-10-16|1.1|Madhusudhan Moole|Updated lab|\n",
    "|2024-10-15|1.0|Raghul Ramesh|Created lab|\n",
    "--!>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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