{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOtDzbQqA4tkEsbGnWZa5ds"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Stack Overflow Developer Survey 2024 - Salary Prediction\n","\n","## Project Overview\n","This project aims to predict annual developer compensation (salary) based on various factors like experience, location, technologies used, and AI tool adoption.\n","\n","## Dataset\n","- **Source:** Stack Overflow Annual Developer Survey 2024\n","- **Size:** 65,437 respondents × 114 features\n","- **Target Variable:** `ConvertedCompYearly` (annual salary in USD)\n","- **Task Type:** Regression (primary) and Classification (secondary)\n","\n","## Project Pipeline\n","1. Data Loading and Initial Exploration\n","2. Exploratory Data Analysis (EDA)\n","3. Data Cleaning and Feature Engineering\n","4. Regression Models (predicting salary value)\n","5. Classification Models (predicting salary categories)\n","6. Clustering Analysis (developer segmentation)\n","7. Model Evaluation and Conclusions\n","\n","## Author\n","Raz Sarusi\n"],"metadata":{"id":"R0FMsoYbfWtE"}},{"cell_type":"markdown","source":["### 1.0.1 Setup images directory for README\n","\n","Create a directory to save plots that will be embedded in the README."],"metadata":{"id":"wJVInc5Z6N6U"}},{"cell_type":"code","source":["import os\n","\n","# Create images directory\n","images_dir = '/content/drive/MyDrive/data_science_project/images'\n","os.makedirs(images_dir, exist_ok=True)\n","print(f\"Images directory created: {images_dir}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"85qeU0HP6OvC","executionInfo":{"status":"ok","timestamp":1777930410870,"user_tz":-180,"elapsed":44,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"f071efb1-77cf-4b3f-e988-0aa363d58b9d"},"execution_count":46,"outputs":[{"output_type":"stream","name":"stdout","text":["Images directory created: /content/drive/MyDrive/data_science_project/images\n"]}]},{"cell_type":"markdown","source":["## 1. Setup and Data Loading\n","\n","### 1.1 Extract the dataset\n","The dataset comes as a ZIP file containing the survey results."],"metadata":{"id":"PYDLesmyfgZe"}},{"cell_type":"markdown","source":["### 1.0 Mount Google Drive\n","\n","Connect to Google Drive to access data files persistently across sessions."],"metadata":{"id":"YMUs-Ed0VmgB"}},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dPh5cAUaVogH","executionInfo":{"status":"ok","timestamp":1777929390384,"user_tz":-180,"elapsed":31277,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"16013e36-3987-4a7b-95da-bb50b326e2d2"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"markdown","source":["### 1.2 Import libraries and load data\n"],"metadata":{"id":"FbMUFVkxflIA"}},{"cell_type":"code","source":["# Import basic libraries\n","import pandas as pd\n","import numpy as np\n","\n","# Load the main dataset\n","df = pd.read_csv('/content/drive/MyDrive/data_science_project/survey_results_public.csv')\n","\n","# Load the schema (column descriptions)\n","schema = pd.read_csv('/content/drive/MyDrive/data_science_project/survey_results_schema.csv')\n","\n","# Initial inspection\n","print(\"Dataset shape (rows, columns):\", df.shape)\n","print(f\"Number of rows: {df.shape[0]:,}\")\n","print(f\"Number of columns: {df.shape[1]}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"n9zfZKOCeQU8","executionInfo":{"status":"ok","timestamp":1777929403156,"user_tz":-180,"elapsed":12775,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"8bb064eb-ca3d-4c8c-bc26-c7f86b1f9778"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Dataset shape (rows, columns): (65437, 114)\n","Number of rows: 65,437\n","Number of columns: 114\n"]}]},{"cell_type":"markdown","source":["### 1.3 Initial data inspection\n","\n","Let's first understand the structure of our dataset."],"metadata":{"id":"t_7vZ7hefmzf"}},{"cell_type":"code","source":["# Display all column names\n","print(\"All columns in the dataset:\")\n","print(df.columns.tolist())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cQP8SCsKfwa0","executionInfo":{"status":"ok","timestamp":1777929403185,"user_tz":-180,"elapsed":28,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"b3786257-7e73-49bd-bac3-c5a7a11bd6b9"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["All columns in the dataset:\n","['ResponseId', 'MainBranch', 'Age', 'Employment', 'RemoteWork', 'Check', 'CodingActivities', 'EdLevel', 'LearnCode', 'LearnCodeOnline', 'TechDoc', 'YearsCode', 'YearsCodePro', 'DevType', 'OrgSize', 'PurchaseInfluence', 'BuyNewTool', 'BuildvsBuy', 'TechEndorse', 'Country', 'Currency', 'CompTotal', 'LanguageHaveWorkedWith', 'LanguageWantToWorkWith', 'LanguageAdmired', 'DatabaseHaveWorkedWith', 'DatabaseWantToWorkWith', 'DatabaseAdmired', 'PlatformHaveWorkedWith', 'PlatformWantToWorkWith', 'PlatformAdmired', 'WebframeHaveWorkedWith', 'WebframeWantToWorkWith', 'WebframeAdmired', 'EmbeddedHaveWorkedWith', 'EmbeddedWantToWorkWith', 'EmbeddedAdmired', 'MiscTechHaveWorkedWith', 'MiscTechWantToWorkWith', 'MiscTechAdmired', 'ToolsTechHaveWorkedWith', 'ToolsTechWantToWorkWith', 'ToolsTechAdmired', 'NEWCollabToolsHaveWorkedWith', 'NEWCollabToolsWantToWorkWith', 'NEWCollabToolsAdmired', 'OpSysPersonal use', 'OpSysProfessional use', 'OfficeStackAsyncHaveWorkedWith', 'OfficeStackAsyncWantToWorkWith', 'OfficeStackAsyncAdmired', 'OfficeStackSyncHaveWorkedWith', 'OfficeStackSyncWantToWorkWith', 'OfficeStackSyncAdmired', 'AISearchDevHaveWorkedWith', 'AISearchDevWantToWorkWith', 'AISearchDevAdmired', 'NEWSOSites', 'SOVisitFreq', 'SOAccount', 'SOPartFreq', 'SOHow', 'SOComm', 'AISelect', 'AISent', 'AIBen', 'AIAcc', 'AIComplex', 'AIToolCurrently Using', 'AIToolInterested in Using', 'AIToolNot interested in Using', 'AINextMuch more integrated', 'AINextNo change', 'AINextMore integrated', 'AINextLess integrated', 'AINextMuch less integrated', 'AIThreat', 'AIEthics', 'AIChallenges', 'TBranch', 'ICorPM', 'WorkExp', 'Knowledge_1', 'Knowledge_2', 'Knowledge_3', 'Knowledge_4', 'Knowledge_5', 'Knowledge_6', 'Knowledge_7', 'Knowledge_8', 'Knowledge_9', 'Frequency_1', 'Frequency_2', 'Frequency_3', 'TimeSearching', 'TimeAnswering', 'Frustration', 'ProfessionalTech', 'ProfessionalCloud', 'ProfessionalQuestion', 'Industry', 'JobSatPoints_1', 'JobSatPoints_4', 'JobSatPoints_5', 'JobSatPoints_6', 'JobSatPoints_7', 'JobSatPoints_8', 'JobSatPoints_9', 'JobSatPoints_10', 'JobSatPoints_11', 'SurveyLength', 'SurveyEase', 'ConvertedCompYearly', 'JobSat']\n"]}]},{"cell_type":"markdown","source":["### 1.4 First look at the data\n","\n","Let's preview the first few rows to understand what a single response looks like."],"metadata":{"id":"f8fKv7UOUDcU"}},{"cell_type":"code","source":["# Preview first 5 rows\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"id":"fzHNpgEqUFoq","executionInfo":{"status":"ok","timestamp":1777929403259,"user_tz":-180,"elapsed":66,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"b3345845-6d8a-4868-b3b1-a984274b4b45"},"execution_count":5,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   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]"],"text/html":["\n","  <div id=\"df-396dbe7c-c919-4582-98f6-41eda01125ef\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ResponseId</th>\n","      <th>MainBranch</th>\n","      <th>Age</th>\n","      <th>Employment</th>\n","      <th>RemoteWork</th>\n","      <th>Check</th>\n","      <th>CodingActivities</th>\n","      <th>EdLevel</th>\n","      <th>LearnCode</th>\n","      <th>LearnCodeOnline</th>\n","      <th>...</th>\n","      <th>JobSatPoints_6</th>\n","      <th>JobSatPoints_7</th>\n","      <th>JobSatPoints_8</th>\n","      <th>JobSatPoints_9</th>\n","      <th>JobSatPoints_10</th>\n","      <th>JobSatPoints_11</th>\n","      <th>SurveyLength</th>\n","      <th>SurveyEase</th>\n","      <th>ConvertedCompYearly</th>\n","      <th>JobSat</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>I am a developer by profession</td>\n","      <td>Under 18 years old</td>\n","      <td>Employed, full-time</td>\n","      <td>Remote</td>\n","      <td>Apples</td>\n","      <td>Hobby</td>\n","      <td>Primary/elementary school</td>\n","      <td>Books / Physical media</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>I am a developer by profession</td>\n","      <td>35-44 years old</td>\n","      <td>Employed, full-time</td>\n","      <td>Remote</td>\n","      <td>Apples</td>\n","      <td>Hobby;Contribute to open-source projects;Other...</td>\n","      <td>Bachelor’s degree (B.A., B.S., B.Eng., etc.)</td>\n","      <td>Books / Physical media;Colleague;On the job tr...</td>\n","      <td>Technical documentation;Blogs;Books;Written Tu...</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>I am a developer by profession</td>\n","      <td>45-54 years old</td>\n","      <td>Employed, full-time</td>\n","      <td>Remote</td>\n","      <td>Apples</td>\n","      <td>Hobby;Contribute to open-source projects;Other...</td>\n","      <td>Master’s degree (M.A., M.S., M.Eng., MBA, etc.)</td>\n","      <td>Books / Physical media;Colleague;On the job tr...</td>\n","      <td>Technical documentation;Blogs;Books;Written Tu...</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>Appropriate in length</td>\n","      <td>Easy</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>I am learning to code</td>\n","      <td>18-24 years old</td>\n","      <td>Student, full-time</td>\n","      <td>NaN</td>\n","      <td>Apples</td>\n","      <td>NaN</td>\n","      <td>Some college/university study without earning ...</td>\n","      <td>Other online resources (e.g., videos, blogs, f...</td>\n","      <td>Stack Overflow;How-to videos;Interactive tutorial</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>Too long</td>\n","      <td>Easy</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>I am a developer by profession</td>\n","      <td>18-24 years old</td>\n","      <td>Student, full-time</td>\n","      <td>NaN</td>\n","      <td>Apples</td>\n","      <td>NaN</td>\n","      <td>Secondary school (e.g. American high school, G...</td>\n","      <td>Other online resources (e.g., videos, blogs, f...</td>\n","      <td>Technical documentation;Blogs;Written Tutorial...</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>Too short</td>\n","      <td>Easy</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 114 columns</p>\n","</div>\n","    <div 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True   MC     SAVR  \n","1                                 What is your age?*       True   MC     SAVR  \n","2  Which of the following best describes your cur...       True   MC     MAVR  \n","3  Which best describes your current work situation?      False   MC     SAVR  \n","4  Just checking to make sure you are paying atte...       True   MC     SAVR  \n","5  Which of the following best describes the code...      False   MC     MAVR  \n","6  Which of the following best describes the high...       True   MC     SAVR  \n","7   How do you learn to code? Select all that apply.      False   MC     MAVR  \n","8  What online resources do you use to learn to c...      False   MC     MAVR  \n","9  What is the source of the technical documentat...      False   MC     MAVR  "],"text/html":["\n","  <div id=\"df-798bd668-8d7e-45fc-b3d1-bad0387625f0\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>qid</th>\n","      <th>qname</th>\n","      <th>question</th>\n","      <th>force_resp</th>\n","      <th>type</th>\n","      <th>selector</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>QID2</td>\n","      <td>MainBranch</td>\n","      <td>Which of the following options best describes ...</td>\n","      <td>True</td>\n","      <td>MC</td>\n","      <td>SAVR</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>QID127</td>\n","      <td>Age</td>\n","      <td>What is your age?*</td>\n","      <td>True</td>\n","      <td>MC</td>\n","      <td>SAVR</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>QID296</td>\n","      <td>Employment</td>\n","      <td>Which of the following best describes your cur...</td>\n","      <td>True</td>\n","      <td>MC</td>\n","      <td>MAVR</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>QID308</td>\n","      <td>RemoteWork</td>\n","      <td>Which best describes your current work situation?</td>\n","      <td>False</td>\n","      <td>MC</td>\n","      <td>SAVR</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>QID341</td>\n","      <td>Check</td>\n","      <td>Just checking to make sure you are paying atte...</td>\n","      <td>True</td>\n","      <td>MC</td>\n","      <td>SAVR</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>QID297</td>\n","      <td>CodingActivities</td>\n","      <td>Which of the following best describes the code...</td>\n","      <td>False</td>\n","      <td>MC</td>\n","      <td>MAVR</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>QID25</td>\n","      <td>EdLevel</td>\n","      <td>Which of the following best describes the high...</td>\n","      <td>True</td>\n","      <td>MC</td>\n","      <td>SAVR</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>QID276</td>\n","      <td>LearnCode</td>\n","      <td>How do you learn to code? Select all that apply.</td>\n","      <td>False</td>\n","      <td>MC</td>\n","      <td>MAVR</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>QID281</td>\n","      <td>LearnCodeOnline</td>\n","      <td>What online resources do you use to learn to c...</td>\n","      <td>False</td>\n","      <td>MC</td>\n","      <td>MAVR</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>QID331</td>\n","      <td>TechDoc</td>\n","      <td>What is the source of the technical documentat...</td>\n","      <td>False</td>\n","      <td>MC</td>\n","      <td>MAVR</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-798bd668-8d7e-45fc-b3d1-bad0387625f0')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-798bd668-8d7e-45fc-b3d1-bad0387625f0 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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For the purpose of this survey, a developer is \\\"someone who writes code\\\".*\",\n          \"Which <b>other frameworks and libraries</b> have you done extensive development work in over the past year, and which do you want to work in over the next year? (If you both worked with the framework and want to continue to do so, please check both boxes in that row.)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"force_resp\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          false,\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"TE\",\n          \"CS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"selector\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"MAVR\",\n          \"HSLIDER\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":7}]},{"cell_type":"markdown","source":["### 1.7 Critical check: target variable availability\n","\n","Before starting EDA, we MUST verify how many respondents actually reported their salary.\n","This is our target variable - without it, the row is useless for our model.\n","\n","**Project requirements reminder:**\n","- Minimum 10,000 rows (currently: 65,437 ✓)\n","- Minimum 15 columns (currently: 114 ✓)\n","- Numeric target variable ✓\n","\n","If filtering significantly reduces our dataset, we need to plan accordingly."],"metadata":{"id":"2p2E3UERY4pG"}},{"cell_type":"code","source":["# Critical check: How many rows have a valid salary?\n","target = 'ConvertedCompYearly'\n","\n","total = len(df)\n","has_salary = df[target].notna().sum()\n","no_salary = df[target].isna().sum()\n","\n","print(\"=\" * 60)\n","print(\"TARGET VARIABLE AVAILABILITY CHECK\")\n","print(\"=\" * 60)\n","print(f\"Total respondents:        {total:,}\")\n","print(f\"Reported salary:          {has_salary:,}  ({has_salary/total*100:.1f}%)\")\n","print(f\"Missing salary:           {no_salary:,}  ({no_salary/total*100:.1f}%)\")\n","print()\n","print(\"=\" * 60)\n","print(\"PROJECT REQUIREMENT CHECK\")\n","print(\"=\" * 60)\n","required_rows = 10000\n","print(f\"Required minimum rows:    {required_rows:,}\")\n","print(f\"Available usable rows:    {has_salary:,}\")\n","\n","if has_salary >= required_rows:\n","    margin = has_salary - required_rows\n","    print(f\"Status: PASS ✓ (margin of {margin:,} rows)\")\n","else:\n","    print(f\"Status: FAIL ✗ (short by {required_rows - has_salary:,} rows)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"En8hwjZGY5ev","executionInfo":{"status":"ok","timestamp":1777929405389,"user_tz":-180,"elapsed":11,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"6ea7f72c-28a6-45a7-8cc8-31e8499a8cd0"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["============================================================\n","TARGET VARIABLE AVAILABILITY CHECK\n","============================================================\n","Total respondents:        65,437\n","Reported salary:          23,435  (35.8%)\n","Missing salary:           42,002  (64.2%)\n","\n","============================================================\n","PROJECT REQUIREMENT CHECK\n","============================================================\n","Required minimum rows:    10,000\n","Available usable rows:    23,435\n","Status: PASS ✓ (margin of 13,435 rows)\n"]}]},{"cell_type":"markdown","source":["## 2. Exploratory Data Analysis (EDA)\n","\n","In this section we explore the dataset to understand patterns, distributions,\n","and relationships between variables. This will guide our feature engineering\n","and modeling decisions.\n","\n","### 2.1 Target variable analysis: salary distribution\n","\n","Before exploring features, we need to deeply understand our target variable.\n","We'll check:\n","- Distribution shape (normal? skewed?)\n","- Outliers (extreme values)\n","- Whether log transformation might help"],"metadata":{"id":"yaonM1srZadM"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# Style settings\n","sns.set_style(\"whitegrid\")\n","plt.rcParams['figure.figsize'] = (14, 5)\n","\n","# Get only valid salary values\n","salary = df['ConvertedCompYearly'].dropna()\n","\n","# Detailed statistics\n","print(\"Salary Statistics (USD):\")\n","print(\"=\" * 50)\n","print(f\"Count:    {len(salary):,}\")\n","print(f\"Mean:     ${salary.mean():>12,.0f}\")\n","print(f\"Median:   ${salary.median():>12,.0f}\")\n","print(f\"Std:      ${salary.std():>12,.0f}\")\n","print(f\"Min:      ${salary.min():>12,.0f}\")\n","print(f\"Max:      ${salary.max():>12,.0f}\")\n","print()\n","print(\"Percentiles:\")\n","for p in [1, 5, 25, 50, 75, 95, 99]:\n","    print(f\"  {p:>3}th: ${salary.quantile(p/100):>12,.0f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4wE3km2wZd5y","executionInfo":{"status":"ok","timestamp":1777929406662,"user_tz":-180,"elapsed":1269,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"bab6d78e-a37e-4f7c-cd08-e03f11d6c8ab"},"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["Salary Statistics (USD):\n","==================================================\n","Count:    23,435\n","Mean:     $      86,155\n","Median:   $      65,000\n","Std:      $     186,757\n","Min:      $           1\n","Max:      $  16,256,603\n","\n","Percentiles:\n","    1th: $         208\n","    5th: $       3,497\n","   25th: $      32,712\n","   50th: $      65,000\n","   75th: $     107,972\n","   95th: $     210,000\n","   99th: $     393,751\n"]}]},{"cell_type":"markdown","source":["### 2.2 Salary distribution visualization\n","\n","Numbers tell us part of the story - visualizations reveal the full picture.\n","We'll plot:\n","1. Full distribution (with outliers) - to see the problem\n","2. Filtered distribution (1K to 500K) - the realistic range\n","3. Log-transformed distribution - what the model will actually see"],"metadata":{"id":"yCr_G3ZhZ_Bf"}},{"cell_type":"code","source":["import numpy as np\n","\n","fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n","\n","# Plot 1: Full distribution (showing the outlier problem)\n","axes[0].hist(salary, bins=100, color='steelblue', edgecolor='black')\n","axes[0].set_title('Full Salary Distribution (with outliers)', fontsize=12)\n","axes[0].set_xlabel('Annual Salary (USD)')\n","axes[0].set_ylabel('Count')\n","axes[0].axvline(salary.mean(), color='red', linestyle='--', label=f'Mean: ${salary.mean():,.0f}')\n","axes[0].axvline(salary.median(), color='green', linestyle='--', label=f'Median: ${salary.median():,.0f}')\n","axes[0].legend()\n","\n","# Plot 2: Filtered to reasonable range\n","filtered = salary[(salary >= 1000) & (salary <= 500000)]\n","axes[1].hist(filtered, bins=80, color='coral', edgecolor='black')\n","axes[1].set_title('Filtered Distribution ($1K - $500K)', fontsize=12)\n","axes[1].set_xlabel('Annual Salary (USD)')\n","axes[1].set_ylabel('Count')\n","axes[1].axvline(filtered.mean(), color='red', linestyle='--', label=f'Mean: ${filtered.mean():,.0f}')\n","axes[1].axvline(filtered.median(), color='green', linestyle='--', label=f'Median: ${filtered.median():,.0f}')\n","axes[1].legend()\n","\n","# Plot 3: Log-transformed distribution\n","log_salary = np.log10(salary[salary > 0])\n","axes[2].hist(log_salary, bins=60, color='mediumseagreen', edgecolor='black')\n","axes[2].set_title('Log10 Salary Distribution (model-friendly)', fontsize=12)\n","axes[2].set_xlabel('Log10(Annual Salary)')\n","axes[2].set_ylabel('Count')\n","axes[2].axvline(log_salary.mean(), color='red', linestyle='--', label=f'Mean: {log_salary.mean():.2f}')\n","axes[2].axvline(log_salary.median(), color='green', linestyle='--', label=f'Median: {log_salary.median():.2f}')\n","axes[2].legend()\n","\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/01_salary_distribution.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Summary of what we see\n","print(\"\\n\" + \"=\" * 60)\n","print(\"DISTRIBUTION INSIGHTS\")\n","print(\"=\" * 60)\n","print(f\"Outliers above $500K:    {(salary > 500000).sum():>5,} respondents ({(salary > 500000).sum()/len(salary)*100:.1f}%)\")\n","print(f\"Outliers below $1K:      {(salary < 1000).sum():>5,} respondents ({(salary < 1000).sum()/len(salary)*100:.1f}%)\")\n","print(f\"In realistic range:      {len(filtered):>5,} respondents ({len(filtered)/len(salary)*100:.1f}%)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":629},"id":"qHU88cjZZ_g9","executionInfo":{"status":"ok","timestamp":1777930597277,"user_tz":-180,"elapsed":1627,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"9d23fef4-3d44-4ac9-c430-9470c985872f"},"execution_count":47,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1800x500 with 3 Axes>"],"image/png":"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INSIGHTS\n","============================================================\n","Outliers above $500K:        0 respondents (0.0%)\n","Outliers below $1K:          0 respondents (0.0%)\n","In realistic range:      4,453 respondents (100.0%)\n"]}]},{"cell_type":"markdown","source":["### 2.3 Numerical features overview\n","\n","We have only 14 numerical columns out of 114. Let's see what they are\n","and how they relate to salary. The most promising ones are:\n","- `YearsCode` - Total years of coding experience\n","- `YearsCodePro` - Years of professional coding\n","- `WorkExp` - Total work experience"],"metadata":{"id":"IQAEjAaRal-c"}},{"cell_type":"code","source":["# Find all numerical columns\n","numerical_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()\n","\n","print(f\"Total numerical columns: {len(numerical_cols)}\")\n","print(\"\\nList of numerical columns:\")\n","for col in numerical_cols:\n","    missing_pct = df[col].isna().sum() / len(df) * 100\n","    print(f\"  {col:35s}  Missing: {missing_pct:>5.1f}%\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kunfHQFBamh-","executionInfo":{"status":"ok","timestamp":1777929408169,"user_tz":-180,"elapsed":7,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"7696c100-829d-4ffc-ac31-dce1a92e060d"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Total numerical columns: 14\n","\n","List of numerical columns:\n","  ResponseId                           Missing:   0.0%\n","  CompTotal                            Missing:  48.4%\n","  WorkExp                              Missing:  54.7%\n","  JobSatPoints_1                       Missing:  55.2%\n","  JobSatPoints_4                       Missing:  55.1%\n","  JobSatPoints_5                       Missing:  55.1%\n","  JobSatPoints_6                       Missing:  55.0%\n","  JobSatPoints_7                       Missing:  55.0%\n","  JobSatPoints_8                       Missing:  55.0%\n","  JobSatPoints_9                       Missing:  55.0%\n","  JobSatPoints_10                      Missing:  55.0%\n","  JobSatPoints_11                      Missing:  55.0%\n","  ConvertedCompYearly                  Missing:  64.2%\n","  JobSat                               Missing:  55.5%\n"]}]},{"cell_type":"markdown","source":["### 2.4 Investigating \"hidden\" numerical features\n","\n","The most important predictors for salary are likely experience and age.\n","But they didn't appear in our numerical columns! Let's check if they're\n","stored as text and need conversion."],"metadata":{"id":"Ieq0Sblba916"}},{"cell_type":"code","source":["# Investigate experience and age columns\n","suspect_cols = ['YearsCode', 'YearsCodePro', 'Age', 'EdLevel']\n","\n","for col in suspect_cols:\n","    print(f\"\\n{'=' * 60}\")\n","    print(f\"Column: {col}\")\n","    print(f\"Data type: {df[col].dtype}\")\n","    print(f\"Missing: {df[col].isna().sum():,} ({df[col].isna().sum()/len(df)*100:.1f}%)\")\n","    print(f\"Unique values: {df[col].nunique()}\")\n","    print(f\"\\nValue counts (top 10):\")\n","    print(df[col].value_counts().head(10))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KiJ5RgO3a-r_","executionInfo":{"status":"ok","timestamp":1777929408191,"user_tz":-180,"elapsed":21,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"f7bfb5c8-7243-433b-f132-4830ca586e6d"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","============================================================\n","Column: YearsCode\n","Data type: object\n","Missing: 5,568 (8.5%)\n","Unique values: 52\n","\n","Value counts (top 10):\n","YearsCode\n","10    4561\n","5     3723\n","6     3496\n","8     3449\n","7     3333\n","4     3290\n","15    2813\n","20    2636\n","12    2559\n","3     2518\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: YearsCodePro\n","Data type: object\n","Missing: 13,827 (21.1%)\n","Unique values: 52\n","\n","Value counts (top 10):\n","YearsCodePro\n","2                   4168\n","3                   4093\n","5                   3526\n","10                  3251\n","4                   3215\n","Less than 1 year    2856\n","6                   2843\n","1                   2639\n","8                   2549\n","7                   2517\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: Age\n","Data type: object\n","Missing: 0 (0.0%)\n","Unique values: 8\n","\n","Value counts (top 10):\n","Age\n","25-34 years old       23911\n","35-44 years old       14942\n","18-24 years old       14098\n","45-54 years old        6249\n","55-64 years old        2575\n","Under 18 years old     2568\n","65 years or older       772\n","Prefer not to say       322\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: EdLevel\n","Data type: object\n","Missing: 4,653 (7.1%)\n","Unique values: 8\n","\n","Value counts (top 10):\n","EdLevel\n","Bachelor’s degree (B.A., B.S., B.Eng., etc.)                                          24942\n","Master’s degree (M.A., M.S., M.Eng., MBA, etc.)                                       15557\n","Some college/university study without earning a degree                                 7651\n","Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)     5793\n","Professional degree (JD, MD, Ph.D, Ed.D, etc.)                                         2970\n","Associate degree (A.A., A.S., etc.)                                                    1793\n","Primary/elementary school                                                              1146\n","Something else                                                                          932\n","Name: count, dtype: int64\n"]}]},{"cell_type":"markdown","source":["### 2.5 Initial EDA insights summary\n","\n","After exploring the data structure and target variable, here are our key findings:\n","\n","**Target variable (`ConvertedCompYearly`):**\n","- 23,435 valid responses (35.8% of dataset)\n","- Highly right-skewed distribution\n","- Range: $1 to $16M (extreme outliers exist)\n","- Realistic range ($1K-$500K) covers 97.1% of valid data\n","- **Decision:** Apply log transformation + filter outliers\n","\n","**Numerical columns (14 total):**\n","- Most are sparse (50%+ missing) and highly correlated with target\n","- Only `WorkExp` is a true independent numerical feature\n","- `CompTotal` will be excluded (data leakage with target)\n","\n","**\"Hidden\" numerical features (stored as text):**\n","- `YearsCode` and `YearsCodePro` need conversion (handle \"Less than 1 year\" / \"More than 50 years\")\n","- `Age` has 8 ordered categories\n","- `EdLevel` has 8 ordered education levels (perfect for ordinal encoding)\n","\n","**Next steps:**\n","- Investigate categorical features (DevType, Country, etc.)\n","- Explore relationship between key features and salary\n","- Plan feature engineering strategy"],"metadata":{"id":"O43D3LnfbhgE"}},{"cell_type":"markdown","source":["### 2.6 Categorical features exploration\n","\n","Now let's explore the most promising categorical columns.\n","We'll focus on features likely to influence salary:\n","- `DevType` - Type of developer role\n","- `Country` - Geographic location (huge impact on salary!)\n","- `OrgSize` - Company size\n","- `RemoteWork` - Remote work status"],"metadata":{"id":"_vdHRefZbi0b"}},{"cell_type":"code","source":["# Explore key categorical columns\n","key_categorical = ['DevType', 'Country', 'OrgSize', 'RemoteWork']\n","\n","for col in key_categorical:\n","    print(f\"\\n{'=' * 60}\")\n","    print(f\"Column: {col}\")\n","    print(f\"Missing: {df[col].isna().sum():,} ({df[col].isna().sum()/len(df)*100:.1f}%)\")\n","    print(f\"Unique values: {df[col].nunique()}\")\n","    print(f\"\\nTop 10 values:\")\n","    print(df[col].value_counts().head(10))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Opgl1Y9Jbkeu","executionInfo":{"status":"ok","timestamp":1777929408217,"user_tz":-180,"elapsed":25,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"d198196f-6808-46a3-fd35-a468787a6e1b"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","============================================================\n","Column: DevType\n","Missing: 5,992 (9.2%)\n","Unique values: 34\n","\n","Top 10 values:\n","DevType\n","Developer, full-stack                            18260\n","Developer, back-end                               9928\n","Student                                           5102\n","Developer, front-end                              3349\n","Developer, desktop or enterprise applications     2493\n","Other (please specify):                           2458\n","Developer, mobile                                 2021\n","Developer, embedded applications or devices       1623\n","Engineering manager                               1275\n","Academic researcher                               1238\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: Country\n","Missing: 6,507 (9.9%)\n","Unique values: 185\n","\n","Top 10 values:\n","Country\n","United States of America                                11095\n","Germany                                                  4947\n","India                                                    4231\n","United Kingdom of Great Britain and Northern Ireland     3224\n","Ukraine                                                  2672\n","France                                                   2110\n","Canada                                                   2104\n","Poland                                                   1534\n","Netherlands                                              1449\n","Brazil                                                   1375\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: OrgSize\n","Missing: 17,957 (27.4%)\n","Unique values: 10\n","\n","Top 10 values:\n","OrgSize\n","20 to 99 employees                                    9754\n","100 to 499 employees                                  8694\n","10,000 or more employees                              5558\n","1,000 to 4,999 employees                              5353\n","2 to 9 employees                                      4833\n","10 to 19 employees                                    4084\n","500 to 999 employees                                  3183\n","Just me - I am a freelancer, sole proprietor, etc.    3086\n","5,000 to 9,999 employees                              1867\n","I don’t know                                          1068\n","Name: count, dtype: int64\n","\n","============================================================\n","Column: RemoteWork\n","Missing: 10,631 (16.2%)\n","Unique values: 3\n","\n","Top 10 values:\n","RemoteWork\n","Hybrid (some remote, some in-person)    23015\n","Remote                                  20831\n","In-person                               10960\n","Name: count, dtype: int64\n"]}]},{"cell_type":"markdown","source":["### 2.7 Salary by country (top earners)\n","\n","Geography has a huge impact on tech salaries. Let's see the top-paying countries\n","in our dataset (only showing countries with at least 100 respondents for reliability)."],"metadata":{"id":"myrE6jPOcdQC"}},{"cell_type":"code","source":["# Filter to valid salaries within realistic range\n","filtered_df = df[\n","    (df['ConvertedCompYearly'].notna()) &\n","    (df['ConvertedCompYearly'] >= 1000) &\n","    (df['ConvertedCompYearly'] <= 500000)\n","].copy()\n","\n","print(f\"Working dataset size: {len(filtered_df):,} rows\")\n","print(f\"Original dataset size: {len(df):,} rows\\n\")\n","\n","# Salary statistics by country (only countries with 100+ respondents)\n","country_stats = filtered_df.groupby('Country')['ConvertedCompYearly'].agg(['count', 'mean', 'median'])\n","country_stats = country_stats[country_stats['count'] >= 100]\n","country_stats = country_stats.sort_values('median', ascending=False)\n","\n","print(\"Top 15 countries by median salary (min 100 respondents):\")\n","print(\"=\" * 70)\n","print(f\"{'Country':<45} {'Count':>7} {'Median':>10} {'Mean':>10}\")\n","print(\"-\" * 70)\n","for country, row in country_stats.head(15).iterrows():\n","    country_short = country[:42] + \"...\" if len(country) > 42 else country\n","    print(f\"{country_short:<45} {int(row['count']):>7,} ${int(row['median']):>9,} ${int(row['mean']):>9,}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WjyKLg73ceJQ","executionInfo":{"status":"ok","timestamp":1777929408236,"user_tz":-180,"elapsed":18,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"8c3eefed-a13d-4765-d2c1-1ba7c5557e87"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["Working dataset size: 22,765 rows\n","Original dataset size: 65,437 rows\n","\n","Top 15 countries by median salary (min 100 respondents):\n","======================================================================\n","Country                                         Count     Median       Mean\n","----------------------------------------------------------------------\n","United States of America                        4,596 $  141,000 $  153,146\n","Israel                                            217 $  113,334 $  113,735\n","Switzerland                                       385 $  111,417 $  118,862\n","Australia                                         505 $   95,796 $   99,905\n","Ireland                                           120 $   91,295 $   97,629\n","Denmark                                           211 $   88,993 $   89,713\n","Canada                                            861 $   87,231 $   97,255\n","United Kingdom of Great Britain and Northe...   1,376 $   84,038 $   97,139\n","Norway                                            224 $   79,552 $   83,503\n","New Zealand                                       157 $   74,362 $   82,054\n","Germany                                         2,038 $   73,036 $   75,770\n","Netherlands                                       559 $   69,814 $   81,651\n","Belgium                                           205 $   64,444 $   72,355\n","Austria                                           341 $   64,444 $   68,909\n","Finland                                           168 $   64,444 $   65,929\n"]}]},{"cell_type":"markdown","source":["### 2.8 Salary distribution visualization by country\n","\n","Visualizing salary distributions per country reveals not just the median,\n","but also the spread and variability within each country."],"metadata":{"id":"2e9dPLsmc_2E"}},{"cell_type":"code","source":["# Get top 10 countries by sample size (more reliable than by median alone)\n","top_countries = filtered_df['Country'].value_counts().head(10).index.tolist()\n","plot_data = filtered_df[filtered_df['Country'].isin(top_countries)].copy()\n","\n","# Shorten the UK name for display\n","plot_data['Country'] = plot_data['Country'].replace(\n","    'United Kingdom of Great Britain and Northern Ireland',\n","    'United Kingdom'\n",")\n","plot_data['Country'] = plot_data['Country'].replace(\n","    'United States of America',\n","    'USA'\n",")\n","\n","# Calculate median salary per country for sorting\n","country_order = plot_data.groupby('Country')['ConvertedCompYearly'].median().sort_values(ascending=False).index.tolist()\n","\n","# Create the boxplot\n","plt.figure(figsize=(14, 7))\n","sns.boxplot(\n","    data=plot_data,\n","    x='Country',\n","    y='ConvertedCompYearly',\n","    order=country_order,\n","    palette='viridis'\n",")\n","plt.title('Salary Distribution by Top 10 Countries (by sample size)', fontsize=14)\n","plt.xlabel('Country')\n","plt.ylabel('Annual Salary (USD)')\n","plt.xticks(rotation=45, ha='right')\n","plt.ticklabel_format(style='plain', axis='y')\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/02_salary_by_country.png', dpi=100, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":794},"id":"0oTYBNnydAtc","executionInfo":{"status":"ok","timestamp":1777930622752,"user_tz":-180,"elapsed":1301,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"db3cd959-1f8a-47a2-9693-00cec57463c8"},"execution_count":48,"outputs":[{"output_type":"stream","name":"stderr","text":["/tmp/ipykernel_37891/4096857832.py:20: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.boxplot(\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### 2.9 Salary by developer role (DevType)\n","\n","Different developer roles have very different compensation levels.\n","Let's see which roles pay the most and how they compare to each other."],"metadata":{"id":"YhpeuS1VeBFs"}},{"cell_type":"code","source":["# Salary by developer type\n","devtype_stats = filtered_df.groupby('DevType')['ConvertedCompYearly'].agg(['count', 'mean', 'median'])\n","\n","# Filter to roles with at least 100 respondents\n","devtype_stats = devtype_stats[devtype_stats['count'] >= 100]\n","devtype_stats = devtype_stats.sort_values('median', ascending=False)\n","\n","print(\"Developer roles by median salary (min 100 respondents):\")\n","print(\"=\" * 80)\n","print(f\"{'Role':<55} {'Count':>7} {'Median':>10} {'Mean':>10}\")\n","print(\"-\" * 80)\n","for role, row in devtype_stats.iterrows():\n","    role_short = role[:52] + \"...\" if len(role) > 52 else role\n","    print(f\"{role_short:<55} {int(row['count']):>7,} ${int(row['median']):>9,} ${int(row['mean']):>9,}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OTO6-E9XeB8d","executionInfo":{"status":"ok","timestamp":1777929408944,"user_tz":-180,"elapsed":5,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"46a99e17-a1ba-4651-865c-b2b814c97b3f"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["Developer roles by median salary (min 100 respondents):\n","================================================================================\n","Role                                                      Count     Median       Mean\n","--------------------------------------------------------------------------------\n","Senior Executive (C-Suite, VP, etc.)                        288 $  119,013 $  141,026\n","Engineering manager                                         525 $  115,000 $  129,355\n","Engineer, site reliability                                  126 $   97,882 $  110,349\n","Cloud infrastructure engineer                               279 $   96,666 $  110,470\n","Other (please specify):                                     638 $   80,695 $   97,538\n","Security professional                                       109 $   80,000 $  102,517\n","Data engineer                                               561 $   77,261 $   90,667\n","Developer, AI                                               190 $   75,184 $   97,864\n","Research & Development role                                 394 $   75,184 $   93,099\n","Scientist                                                   121 $   75,000 $   87,637\n","DevOps specialist                                           475 $   74,874 $   83,046\n","Data scientist or machine learning specialist               423 $   74,110 $   90,388\n","Developer, embedded applications or devices                 737 $   71,962 $   85,575\n","Developer, back-end                                       4,620 $   68,740 $   84,529\n","Developer, full-stack                                     8,093 $   64,444 $   75,454\n","Developer, desktop or enterprise applications             1,039 $   64,444 $   78,576\n","Project manager                                             118 $   59,817 $   82,449\n","Data or business analyst                                    191 $   58,799 $   68,054\n","Developer, game or graphics                                 194 $   58,453 $   74,659\n","Educator                                                    107 $   58,384 $   61,697\n","Developer, mobile                                           778 $   56,662 $   72,582\n","Developer, QA or test                                       233 $   55,422 $   65,201\n","Developer, front-end                                      1,340 $   51,984 $   64,106\n","System administrator                                        158 $   50,898 $   56,282\n","Academic researcher                                         385 $   48,407 $   52,875\n","Student                                                     132 $   16,111 $   27,658\n"]}]},{"cell_type":"code","source":["# Visualize: top 15 roles by median salary\n","top_roles = devtype_stats.head(15).reset_index()\n","\n","plt.figure(figsize=(14, 8))\n","sns.barplot(\n","    data=top_roles,\n","    y='DevType',\n","    x='median',\n","    hue='DevType',\n","    palette='viridis',\n","    legend=False\n",")\n","plt.title('Top 15 Developer Roles by Median Salary', fontsize=14)\n","plt.xlabel('Median Annual Salary (USD)')\n","plt.ylabel('Developer Role')\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/03_top_developer_roles.png', dpi=100, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":807},"id":"DgKURWE2eLxC","executionInfo":{"status":"ok","timestamp":1777930643021,"user_tz":-180,"elapsed":2714,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"295d6ec4-bb88-4a06-a240-adc5d5b2c68f"},"execution_count":49,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x800 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### 2.10 Salary vs years of professional coding experience\n","\n","Years of professional experience is typically the strongest predictor of salary.\n","We need to convert this column from text to numeric, handling special values\n","like \"Less than 1 year\" and \"More than 50 years\"."],"metadata":{"id":"y6FAL1EmeqFm"}},{"cell_type":"code","source":["# Convert YearsCodePro from text to numeric\n","def convert_years(value):\n","    \"\"\"Convert years strings to numeric values.\"\"\"\n","    if pd.isna(value):\n","        return np.nan\n","    if value == 'Less than 1 year':\n","        return 0.5\n","    if value == 'More than 50 years':\n","        return 51\n","    try:\n","        return float(value)\n","    except ValueError:\n","        return np.nan\n","\n","# Create a new numeric column (don't overwrite the original yet)\n","filtered_df['YearsCodePro_numeric'] = filtered_df['YearsCodePro'].apply(convert_years)\n","\n","# Check the conversion\n","print(\"Conversion check:\")\n","print(f\"Total values: {len(filtered_df):,}\")\n","print(f\"Successfully converted: {filtered_df['YearsCodePro_numeric'].notna().sum():,}\")\n","print(f\"Missing/failed: {filtered_df['YearsCodePro_numeric'].isna().sum():,}\")\n","print(f\"\\nStatistics:\")\n","print(filtered_df['YearsCodePro_numeric'].describe())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6iC7OZwsequa","executionInfo":{"status":"ok","timestamp":1777929409091,"user_tz":-180,"elapsed":7,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"6c925c22-0500-4f0e-c3bf-7c08aa399282"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["Conversion check:\n","Total values: 22,765\n","Successfully converted: 22,682\n","Missing/failed: 83\n","\n","Statistics:\n","count    22682.000000\n","mean        10.328124\n","std          8.628977\n","min          0.500000\n","25%          4.000000\n","50%          8.000000\n","75%         14.000000\n","max         51.000000\n","Name: YearsCodePro_numeric, dtype: float64\n"]}]},{"cell_type":"code","source":["# Visualize: Years of Experience vs Salary\n","clean_data = filtered_df.dropna(subset=['YearsCodePro_numeric', 'ConvertedCompYearly'])\n","\n","fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n","\n","# Plot 1: Scatter plot\n","axes[0].scatter(\n","    clean_data['YearsCodePro_numeric'],\n","    clean_data['ConvertedCompYearly'],\n","    alpha=0.3,\n","    color='steelblue',\n","    s=20\n",")\n","axes[0].set_title('Salary vs Years of Professional Experience', fontsize=12)\n","axes[0].set_xlabel('Years of Professional Coding')\n","axes[0].set_ylabel('Annual Salary (USD)')\n","\n","# Plot 2: Median salary by experience years\n","exp_salary = clean_data.groupby('YearsCodePro_numeric')['ConvertedCompYearly'].median().reset_index()\n","exp_salary = exp_salary[exp_salary['YearsCodePro_numeric'] <= 30]  # Cap at 30 for clarity\n","\n","axes[1].plot(\n","    exp_salary['YearsCodePro_numeric'],\n","    exp_salary['ConvertedCompYearly'],\n","    marker='o',\n","    color='darkgreen',\n","    linewidth=2\n",")\n","axes[1].set_title('Median Salary by Years of Experience', fontsize=12)\n","axes[1].set_xlabel('Years of Professional Coding')\n","axes[1].set_ylabel('Median Annual Salary (USD)')\n","axes[1].grid(True, alpha=0.3)\n","\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/04_salary_vs_experience.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Calculate correlation\n","corr = clean_data[['YearsCodePro_numeric', 'ConvertedCompYearly']].corr().iloc[0, 1]\n","print(f\"\\nCorrelation between Experience and Salary: {corr:.3f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":642},"id":"6-9p8XY3eyjq","executionInfo":{"status":"ok","timestamp":1777930906265,"user_tz":-180,"elapsed":3306,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"8cf9c9eb-26ae-4721-b8ab-c4da15c61243"},"execution_count":51,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1600x600 with 2 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Correlation between Experience and Salary: 0.380\n"]}]},{"cell_type":"markdown","source":["### 2.11 Experience vs Salary - Country breakdown\n","\n","The overall correlation is moderate (0.38) because country has a massive\n","effect that \"noises\" the relationship. Let's see what happens when we\n","look at each major country separately."],"metadata":{"id":"B8mElUTgfJhe"}},{"cell_type":"code","source":["# Compare experience vs salary across major countries\n","major_countries = ['USA', 'Germany', 'India', 'United Kingdom', 'Canada']\n","\n","# Apply same renaming as before\n","country_data = filtered_df.copy()\n","country_data['Country'] = country_data['Country'].replace(\n","    'United States of America', 'USA'\n",")\n","country_data['Country'] = country_data['Country'].replace(\n","    'United Kingdom of Great Britain and Northern Ireland', 'United Kingdom'\n",")\n","country_data['YearsCodePro_numeric'] = country_data['YearsCodePro'].apply(convert_years)\n","country_data = country_data[country_data['Country'].isin(major_countries)]\n","country_data = country_data.dropna(subset=['YearsCodePro_numeric', 'ConvertedCompYearly'])\n","\n","# Calculate correlation per country\n","print(\"Correlation between Experience and Salary by country:\")\n","print(\"=\" * 50)\n","for country in major_countries:\n","    subset = country_data[country_data['Country'] == country]\n","    if len(subset) > 50:\n","        corr = subset[['YearsCodePro_numeric', 'ConvertedCompYearly']].corr().iloc[0, 1]\n","        print(f\"  {country:<25} N={len(subset):>5,}  Correlation: {corr:.3f}\")\n","\n","# Visualize\n","plt.figure(figsize=(14, 7))\n","for country in major_countries:\n","    subset = country_data[country_data['Country'] == country]\n","    if len(subset) > 50:\n","        # Calculate median by experience\n","        exp_med = subset.groupby('YearsCodePro_numeric')['ConvertedCompYearly'].median().reset_index()\n","        exp_med = exp_med[exp_med['YearsCodePro_numeric'] <= 25]\n","        plt.plot(exp_med['YearsCodePro_numeric'], exp_med['ConvertedCompYearly'],\n","                 marker='o', label=country, linewidth=2)\n","\n","plt.title('Median Salary by Experience - Country Comparison', fontsize=14)\n","plt.xlabel('Years of Professional Coding')\n","plt.ylabel('Median Annual Salary (USD)')\n","plt.legend(title='Country', loc='upper left')\n","plt.grid(True, alpha=0.3)\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/05_experience_by_country.png', dpi=100, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":829},"id":"9Iz9hSXefLJN","executionInfo":{"status":"ok","timestamp":1777930927771,"user_tz":-180,"elapsed":1579,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"0eaa1faa-8a7a-4d1f-a7a7-63028496914e"},"execution_count":52,"outputs":[{"output_type":"stream","name":"stdout","text":["Correlation between Experience and Salary by country:\n","==================================================\n","  USA                       N=4,582  Correlation: 0.319\n","  Germany                   N=2,035  Correlation: 0.438\n","  India                     N=1,007  Correlation: 0.394\n","  United Kingdom            N=1,368  Correlation: 0.271\n","  Canada                    N=  856  Correlation: 0.299\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## 3. Data Cleaning and Feature Engineering\n","\n","This section transforms raw data into model-ready features.\n","We'll work in clear stages:\n","\n","1. **Column selection** - Choose useful features, drop noise\n","2. **Filter & clean** - Remove invalid rows and outliers\n","3. **Convert types** - Text-numeric columns to actual numerics\n","4. **Encode categoricals** - Make text usable for ML models\n","5. **Feature engineering** - Create new informative features\n","6. **Final preparation** - X and y ready for modeling"],"metadata":{"id":"5O5ZS0ichME_"}},{"cell_type":"markdown","source":["### 3.1 Column selection\n","\n","From 114 columns, we select features most likely to predict salary.\n","We exclude:\n","- `CompTotal` - Data leakage with target (same info in different currency)\n","- `JobSatPoints_*` - Mostly missing, likely effect not cause\n","- `ResponseId` - Just an ID, not a feature\n","- Survey metadata columns - Not relevant\n","\n","We keep features representing:\n","- Demographics (Age, Country)\n","- Experience (YearsCode, YearsCodePro, WorkExp)\n","- Education and role (EdLevel, DevType, MainBranch)\n","- Work environment (Employment, RemoteWork, OrgSize, Industry)\n","- Technologies (LanguageHaveWorkedWith, AISearchHaveWorkedWith, etc.)\n","- Job satisfaction (JobSat)\n","- Target (ConvertedCompYearly)"],"metadata":{"id":"WAdCFGQ2hOj3"}},{"cell_type":"code","source":["# Define columns to keep\n","selected_columns = [\n","    # Target\n","    'ConvertedCompYearly',\n","\n","    # Demographics\n","    'Age',\n","    'Country',\n","\n","    # Experience\n","    'YearsCode',\n","    'YearsCodePro',\n","    'WorkExp',\n","\n","    # Education and role\n","    'EdLevel',\n","    'DevType',\n","    'MainBranch',\n","\n","    # Work environment\n","    'Employment',\n","    'RemoteWork',\n","    'OrgSize',\n","    'Industry',\n","\n","    # Technologies (multi-select with ';')\n","    'LanguageHaveWorkedWith',\n","    'DatabaseHaveWorkedWith',\n","    'PlatformHaveWorkedWith',\n","    'WebframeHaveWorkedWith',\n","\n","    # AI usage\n","    'AISelect',\n","    'AISearchDevHaveWorkedWith',\n","\n","    # Job satisfaction\n","    'JobSat',\n","]\n","\n","# Verify all columns exist in the dataset\n","missing = [col for col in selected_columns if col not in df.columns]\n","if missing:\n","    print(f\"WARNING - These columns don't exist: {missing}\")\n","else:\n","    print(\"All selected columns exist ✓\")\n","\n","# Create working dataframe\n","df_work = df[selected_columns].copy()\n","print(f\"\\nWorking dataset shape: {df_work.shape}\")\n","print(f\"  - Rows: {df_work.shape[0]:,}\")\n","print(f\"  - Columns: {df_work.shape[1]}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PUwqwRlBhMuV","executionInfo":{"status":"ok","timestamp":1777929410121,"user_tz":-180,"elapsed":9,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"097dbf23-43f0-4837-d479-999e3e5c5509"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["All selected columns exist ✓\n","\n","Working dataset shape: (65437, 20)\n","  - Rows: 65,437\n","  - Columns: 20\n"]}]},{"cell_type":"markdown","source":["### 3.2 Filtering and outlier removal\n","\n","Apply our cleaning strategy:\n","1. Keep only rows with valid salary (drop NaN target)\n","2. Remove extreme outliers (<$1K and >$500K)\n","\n","This brings us from 65,437 to ~22,765 rows - still well above the\n","10,000 row requirement."],"metadata":{"id":"B2JtLKrpheBH"}},{"cell_type":"code","source":["# Track size at each step\n","print(f\"Starting size: {len(df_work):,} rows\")\n","\n","# Step 1: Drop rows with missing target\n","df_work = df_work.dropna(subset=['ConvertedCompYearly'])\n","print(f\"After dropping missing salary: {len(df_work):,} rows\")\n","\n","# Step 2: Remove outliers (salary range $1K-$500K)\n","df_work = df_work[\n","    (df_work['ConvertedCompYearly'] >= 1000) &\n","    (df_work['ConvertedCompYearly'] <= 500000)\n","]\n","print(f\"After removing outliers: {len(df_work):,} rows\")\n","\n","# Final check\n","print(f\"\\nFinal shape: {df_work.shape}\")\n","print(f\"Requirement check: {'PASS ✓' if len(df_work) >= 10000 else 'FAIL ✗'} (need 10,000+)\")\n","\n","# Reset index after filtering\n","df_work = df_work.reset_index(drop=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3ydnwnT3hfyh","executionInfo":{"status":"ok","timestamp":1777929410128,"user_tz":-180,"elapsed":6,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"32f58795-be60-487e-e739-081f37902b85"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["Starting size: 65,437 rows\n","After dropping missing salary: 23,435 rows\n","After removing outliers: 22,765 rows\n","\n","Final shape: (22765, 20)\n","Requirement check: PASS ✓ (need 10,000+)\n"]}]},{"cell_type":"markdown","source":["### 3.3 Convert text-numeric columns\n","\n","`YearsCode` and `YearsCodePro` contain numbers stored as text because of\n","special values:\n","- `\"Less than 1 year\"` → 0.5\n","- `\"More than 50 years\"` → 51\n","\n","We convert them to numeric and use median imputation for missing values."],"metadata":{"id":"sJEDu-Tzhrt-"}},{"cell_type":"code","source":["# Conversion function (we used this in EDA)\n","def convert_years(value):\n","    \"\"\"Convert years strings to numeric values.\"\"\"\n","    if pd.isna(value):\n","        return np.nan\n","    if value == 'Less than 1 year':\n","        return 0.5\n","    if value == 'More than 50 years':\n","        return 51\n","    try:\n","        return float(value)\n","    except ValueError:\n","        return np.nan\n","\n","# Apply conversion\n","df_work['YearsCode'] = df_work['YearsCode'].apply(convert_years)\n","df_work['YearsCodePro'] = df_work['YearsCodePro'].apply(convert_years)\n","\n","# Check missing values before imputation\n","print(\"Missing values before imputation:\")\n","print(f\"  YearsCode:    {df_work['YearsCode'].isna().sum():,} ({df_work['YearsCode'].isna().sum()/len(df_work)*100:.1f}%)\")\n","print(f\"  YearsCodePro: {df_work['YearsCodePro'].isna().sum():,} ({df_work['YearsCodePro'].isna().sum()/len(df_work)*100:.1f}%)\")\n","print(f\"  WorkExp:      {df_work['WorkExp'].isna().sum():,} ({df_work['WorkExp'].isna().sum()/len(df_work)*100:.1f}%)\")\n","\n","# Fill missing values with median (more robust than mean for skewed data)\n","for col in ['YearsCode', 'YearsCodePro', 'WorkExp']:\n","    median_val = df_work[col].median()\n","    df_work[col] = df_work[col].fillna(median_val)\n","    print(f\"  Filled {col} with median: {median_val}\")\n","\n","# Verify no missing values\n","print(\"\\nMissing values after imputation:\")\n","print(f\"  YearsCode:    {df_work['YearsCode'].isna().sum()}\")\n","print(f\"  YearsCodePro: {df_work['YearsCodePro'].isna().sum()}\")\n","print(f\"  WorkExp:      {df_work['WorkExp'].isna().sum()}\")\n","\n","# Statistics check\n","print(\"\\nStatistics after conversion:\")\n","df_work[['YearsCode', 'YearsCodePro', 'WorkExp']].describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":543},"id":"RlsVkAyphtqv","executionInfo":{"status":"ok","timestamp":1777929410134,"user_tz":-180,"elapsed":5,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"c556c46d-0acb-47cb-f033-2d193e13ae6a"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["Missing values before imputation:\n","  YearsCode:    42 (0.2%)\n","  YearsCodePro: 83 (0.4%)\n","  WorkExp:      7,011 (30.8%)\n","  Filled YearsCode with median: 12.0\n","  Filled YearsCodePro with median: 8.0\n","  Filled WorkExp with median: 9.0\n","\n","Missing values after imputation:\n","  YearsCode:    0\n","  YearsCodePro: 0\n","  WorkExp:      0\n","\n","Statistics after conversion:\n"]},{"output_type":"execute_result","data":{"text/plain":["          YearsCode  YearsCodePro       WorkExp\n","count  22765.000000  22765.000000  22765.000000\n","mean      15.198199     10.319635     10.512453\n","std        9.881645      8.614375      7.452225\n","min        0.500000      0.500000      0.000000\n","25%        8.000000      4.000000      6.000000\n","50%       12.000000      8.000000      9.000000\n","75%       20.000000     14.000000     12.000000\n","max       51.000000     51.000000     50.000000"],"text/html":["\n","  <div id=\"df-66a3e90a-f0f6-4810-a377-9e091a3fdccf\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>YearsCode</th>\n","      <th>YearsCodePro</th>\n","      <th>WorkExp</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>22765.000000</td>\n","      <td>22765.000000</td>\n","      <td>22765.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>15.198199</td>\n","      <td>10.319635</td>\n","      <td>10.512453</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>9.881645</td>\n","      <td>8.614375</td>\n","      <td>7.452225</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.500000</td>\n","      <td>0.500000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>8.000000</td>\n","      <td>4.000000</td>\n","      <td>6.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>12.000000</td>\n","      <td>8.000000</td>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>20.000000</td>\n","      <td>14.000000</td>\n","      <td>12.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>51.000000</td>\n","      <td>51.000000</td>\n","      <td>50.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-66a3e90a-f0f6-4810-a377-9e091a3fdccf')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: 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Education level (lower = less education)\n","edlevel_order = {\n","    'Primary/elementary school': 1,\n","    'Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)': 2,\n","    'Some college/university study without earning a degree': 3,\n","    'Associate degree (A.A., A.S., etc.)': 4,\n","    'Bachelor’s degree (B.A., B.S., B.Eng., etc.)': 5,\n","    'Master’s degree (M.A., M.S., M.Eng., MBA, etc.)': 6,\n","    'Professional degree (JD, MD, Ph.D, Ed.D, etc.)': 7,\n","    'Something else': 0  # Unknown - lowest value\n","}\n","df_work['EdLevel_encoded'] = df_work['EdLevel'].map(edlevel_order)\n","\n","# 2. Organization size (lower = smaller company)\n","orgsize_order = {\n","    'Just me - I am a freelancer, sole proprietor, etc.': 1,\n","    '2 to 9 employees': 2,\n","    '10 to 19 employees': 3,\n","    '20 to 99 employees': 4,\n","    '100 to 499 employees': 5,\n","    '500 to 999 employees': 6,\n","    '1,000 to 4,999 employees': 7,\n","    '5,000 to 9,999 employees': 8,\n","    '10,000 or more employees': 9,\n","    'I don’t know': 0  # Unknown\n","}\n","df_work['OrgSize_encoded'] = df_work['OrgSize'].map(orgsize_order)\n","df_work['OrgSize_encoded'] = df_work['OrgSize_encoded'].fillna(0)  # Fill missing with 0 (Unknown)\n","\n","# 3. Age (lower = younger)\n","age_order = {\n","    'Under 18 years old': 1,\n","    '18-24 years old': 2,\n","    '25-34 years old': 3,\n","    '35-44 years old': 4,\n","    '45-54 years old': 5,\n","    '55-64 years old': 6,\n","    '65 years or older': 7,\n","    'Prefer not to say': 0\n","}\n","df_work['Age_encoded'] = df_work['Age'].map(age_order)\n","\n","# Verify all encodings\n","print(\"Encoding verification:\")\n","print(\"=\" * 60)\n","for col, encoded_col in [('EdLevel', 'EdLevel_encoded'),\n","                          ('OrgSize', 'OrgSize_encoded'),\n","                          ('Age', 'Age_encoded')]:\n","    missing = df_work[encoded_col].isna().sum()\n","    print(f\"\\n{col}: Missing = {missing}\")\n","    print(df_work[encoded_col].value_counts().sort_index().to_string())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"47iJrUkzlrs8","executionInfo":{"status":"ok","timestamp":1777929410143,"user_tz":-180,"elapsed":8,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"62c1f08c-4d44-4e50-ae42-8c38b34e1c93"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["Encoding verification:\n","============================================================\n","\n","EdLevel: Missing = 0\n","EdLevel_encoded\n","0      205\n","1      129\n","2     1147\n","3     2703\n","4      725\n","5    10077\n","6     6654\n","7     1125\n","\n","OrgSize: Missing = 0\n","OrgSize_encoded\n","0.0     339\n","1.0     939\n","2.0    2090\n","3.0    1997\n","4.0    4916\n","5.0    4460\n","6.0    1603\n","7.0    2753\n","8.0     930\n","9.0    2738\n","\n","Age: Missing = 0\n","Age_encoded\n","0        9\n","1       56\n","2     3234\n","3    10087\n","4     6112\n","5     2285\n","6      847\n","7      135\n"]}]},{"cell_type":"markdown","source":["### 3.4.2 Group countries into regions\n","\n","We have 185 countries - too many for One-Hot Encoding. We'll group them\n","into 8 regions based on:\n","- Geographic proximity\n","- Economic similarity (salary levels)\n","- Sample size\n","\n","This reduces dimensionality while preserving meaningful information."],"metadata":{"id":"lQPi2oerjv5C"}},{"cell_type":"code","source":["# Define all regional groupings - 10 regions\n","country_to_region = {\n","    # North America\n","    'United States of America': 'North_America',\n","    'Canada': 'North_America',\n","\n","    # Western Europe\n","    'United Kingdom of Great Britain and Northern Ireland': 'Western_Europe',\n","    'Germany': 'Western_Europe',\n","    'France': 'Western_Europe',\n","    'Netherlands': 'Western_Europe',\n","    'Switzerland': 'Western_Europe',\n","    'Belgium': 'Western_Europe',\n","    'Austria': 'Western_Europe',\n","    'Ireland': 'Western_Europe',\n","    'Luxembourg': 'Western_Europe',\n","\n","    # Nordic\n","    'Sweden': 'Nordic',\n","    'Norway': 'Nordic',\n","    'Denmark': 'Nordic',\n","    'Finland': 'Nordic',\n","    'Iceland': 'Nordic',\n","\n","    # Southern Europe\n","    'Spain': 'Southern_Europe',\n","    'Italy': 'Southern_Europe',\n","    'Portugal': 'Southern_Europe',\n","    'Greece': 'Southern_Europe',\n","    'Cyprus': 'Southern_Europe',\n","    'Malta': 'Southern_Europe',\n","\n","    # Eastern Europe\n","    'Poland': 'Eastern_Europe',\n","    'Ukraine': 'Eastern_Europe',\n","    'Czech Republic': 'Eastern_Europe',\n","    'Russian Federation': 'Eastern_Europe',\n","    'Romania': 'Eastern_Europe',\n","    'Hungary': 'Eastern_Europe',\n","    'Bulgaria': 'Eastern_Europe',\n","    'Belarus': 'Eastern_Europe',\n","    'Slovakia': 'Eastern_Europe',\n","    'Croatia': 'Eastern_Europe',\n","    'Serbia': 'Eastern_Europe',\n","    'Slovenia': 'Eastern_Europe',\n","    'Lithuania': 'Eastern_Europe',\n","    'Latvia': 'Eastern_Europe',\n","    'Estonia': 'Eastern_Europe',\n","    'Georgia': 'Eastern_Europe',\n","    'Kazakhstan': 'Eastern_Europe',\n","\n","    # Asia-Pacific Developed\n","    'Australia': 'Asia_Pacific_Developed',\n","    'New Zealand': 'Asia_Pacific_Developed',\n","    'Japan': 'Asia_Pacific_Developed',\n","    'Singapore': 'Asia_Pacific_Developed',\n","    'South Korea': 'Asia_Pacific_Developed',\n","    'Hong Kong (S.A.R.)': 'Asia_Pacific_Developed',\n","    'Taiwan': 'Asia_Pacific_Developed',\n","\n","    # Asia Developing\n","    'India': 'Asia_Developing',\n","    'China': 'Asia_Developing',\n","    'Pakistan': 'Asia_Developing',\n","    'Bangladesh': 'Asia_Developing',\n","    'Indonesia': 'Asia_Developing',\n","    'Vietnam': 'Asia_Developing',\n","    'Viet Nam': 'Asia_Developing',\n","    'Philippines': 'Asia_Developing',\n","    'Thailand': 'Asia_Developing',\n","    'Malaysia': 'Asia_Developing',\n","    'Sri Lanka': 'Asia_Developing',\n","    'Nepal': 'Asia_Developing',\n","\n","    # Middle East\n","    'Israel': 'Middle_East',\n","    'United Arab Emirates': 'Middle_East',\n","    'Saudi Arabia': 'Middle_East',\n","    'Turkey': 'Middle_East',\n","    'Iran, Islamic Republic of...': 'Middle_East',\n","    'Egypt': 'Middle_East',\n","    'Jordan': 'Middle_East',\n","    'Lebanon': 'Middle_East',\n","    'Qatar': 'Middle_East',\n","    'Kuwait': 'Middle_East',\n","\n","    # Latin America\n","    'Brazil': 'Latin_America',\n","    'Mexico': 'Latin_America',\n","    'Argentina': 'Latin_America',\n","    'Colombia': 'Latin_America',\n","    'Chile': 'Latin_America',\n","    'Uruguay': 'Latin_America',\n","    'Venezuela, Bolivarian Republic of...': 'Latin_America',\n","    'Peru': 'Latin_America',\n","    'Ecuador': 'Latin_America',\n","    'Dominican Republic': 'Latin_America',\n","    'Guatemala': 'Latin_America',\n","    'Costa Rica': 'Latin_America',\n","    'Bolivia': 'Latin_America',\n","    'Paraguay': 'Latin_America',\n","    'Honduras': 'Latin_America',\n","    'El Salvador': 'Latin_America',\n","    'Nicaragua': 'Latin_America',\n","    'Panama': 'Latin_America',\n","    'Cuba': 'Latin_America',\n","\n","    # Africa\n","    'South Africa': 'Africa',\n","    'Nigeria': 'Africa',\n","    'Kenya': 'Africa',\n","    'Morocco': 'Africa',\n","    'Ghana': 'Africa',\n","    'Tunisia': 'Africa',\n","    'Algeria': 'Africa',\n","    'Ethiopia': 'Africa',\n","    'Uganda': 'Africa',\n","    'Tanzania, United Republic of': 'Africa',\n","    'Zimbabwe': 'Africa',\n","    'Senegal': 'Africa',\n","    'Cameroon': 'Africa',\n","}\n","\n","# Apply mapping with default 'Other' for unmapped countries\n","df_work['Region'] = df_work['Country'].map(country_to_region).fillna('Other')\n","\n","# Check distribution\n","print(\"Region distribution:\")\n","print(df_work['Region'].value_counts())\n","print(f\"\\nCountries in 'Other': {(df_work['Region'] == 'Other').sum():,}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tcr3-fzZl2A4","executionInfo":{"status":"ok","timestamp":1777929410147,"user_tz":-180,"elapsed":3,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"0905d56d-ffad-4429-cd8f-24bdf53734ca"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["Region distribution:\n","Region\n","Western_Europe            5956\n","North_America             5457\n","Eastern_Europe            3409\n","Asia_Developing           1696\n","Southern_Europe           1501\n","Latin_America             1341\n","Nordic                    1070\n","Asia_Pacific_Developed    1007\n","Middle_East                666\n","Africa                     368\n","Other                      294\n","Name: count, dtype: int64\n","\n","Countries in 'Other': 294\n"]}]},{"cell_type":"markdown","source":["### 3.4.3 Group developer types into broader categories\n","\n","We have 34 developer roles. We'll group them into 7 broader categories\n","based on:\n","- Type of work (development, infrastructure, data, management)\n","- Salary patterns observed in EDA\n","- Career path\n","\n","Categories:\n","- **Backend** - Server-side, API, embedded\n","- **Frontend** - Client-side, mobile, design  \n","- **FullStack** - Developers who do both\n","- **Infrastructure** - SRE, DevOps, Cloud, Security\n","- **Data** - Data engineers, scientists, ML\n","- **Management** - Engineering managers, executives\n","- **Other** - Researchers, students, niche roles"],"metadata":{"id":"YMhs3YGWmLTs"}},{"cell_type":"code","source":["# Define DevType groupings (34 roles → 7 categories)\n","devtype_to_category = {\n","    # Backend\n","    'Developer, back-end': 'Backend',\n","    'Developer, embedded applications or devices': 'Backend',\n","    'Developer, QA or test': 'Backend',\n","    'Hardware Engineer': 'Backend',\n","    'Database administrator': 'Backend',\n","    'System administrator': 'Backend',\n","\n","    # Frontend\n","    'Developer, front-end': 'Frontend',\n","    'Developer, mobile': 'Frontend',\n","    'Designer': 'Frontend',\n","    'Developer, game or graphics': 'Frontend',\n","    'Developer Experience': 'Frontend',\n","\n","    # FullStack\n","    'Developer, full-stack': 'FullStack',\n","    'Developer, desktop or enterprise applications': 'FullStack',\n","\n","    # Infrastructure\n","    'DevOps specialist': 'Infrastructure',\n","    'Engineer, site reliability': 'Infrastructure',\n","    'Cloud infrastructure engineer': 'Infrastructure',\n","    'Security professional': 'Infrastructure',\n","    'Blockchain': 'Infrastructure',\n","\n","    # Data\n","    'Data engineer': 'Data',\n","    'Data scientist or machine learning specialist': 'Data',\n","    'Data or business analyst': 'Data',\n","    'Developer, AI': 'Data',\n","    'Database administrator': 'Data',\n","    'Scientist': 'Data',\n","\n","    # Management\n","    'Engineering manager': 'Management',\n","    'Senior Executive (C-Suite, VP, etc.)': 'Management',\n","    'Project manager': 'Management',\n","    'Product manager': 'Management',\n","    'Marketing or sales professional': 'Management',\n","\n","    # Other\n","    'Student': 'Other',\n","    'Academic researcher': 'Other',\n","    'Educator': 'Other',\n","    'Research & Development role': 'Other',\n","    'Developer Advocate': 'Other',\n","    'Other (please specify):': 'Other',\n","}\n","\n","# Apply mapping (default to 'Other' for unmapped or NaN)\n","df_work['DevCategory'] = df_work['DevType'].map(devtype_to_category).fillna('Other')\n","\n","# Check distribution\n","print(\"DevCategory distribution:\")\n","print(df_work['DevCategory'].value_counts())\n","print(f\"\\nTotal: {len(df_work):,}\")\n","print(f\"Median salary by category:\")\n","print(df_work.groupby('DevCategory')['ConvertedCompYearly'].median().sort_values(ascending=False))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wEaqqHLvmMCl","executionInfo":{"status":"ok","timestamp":1777929410167,"user_tz":-180,"elapsed":15,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"5dd8f385-126c-4778-b7ba-7f78f09ebbd3"},"execution_count":26,"outputs":[{"output_type":"stream","name":"stdout","text":["DevCategory distribution:\n","DevCategory\n","FullStack         9132\n","Backend           5812\n","Frontend          2434\n","Other             1737\n","Data              1545\n","Infrastructure    1071\n","Management        1034\n","Name: count, dtype: int64\n","\n","Total: 22,765\n","Median salary by category:\n","DevCategory\n","Management        107406.0\n","Infrastructure     83777.0\n","Data               73401.0\n","Backend            67666.0\n","FullStack          64444.0\n","Other              64444.0\n","Frontend           55000.0\n","Name: ConvertedCompYearly, dtype: float64\n"]}]},{"cell_type":"markdown","source":["### 3.4.4 Simplify multi-select Employment column\n","\n","The `Employment` column allows multiple selections (separated by ';'),\n","which would create 52+ sparse columns when one-hot encoded.\n","\n","We extract 5 binary indicators from the multi-select values:\n","- `is_employed_fulltime` - Has full-time employment\n","- `is_employed_parttime` - Has part-time employment\n","- `is_freelancer` - Is independent/freelancer\n","- `is_student` - Is student (full or part time)\n","- `is_unemployed` - Currently not employed"],"metadata":{"id":"fHOf65yJobfQ"}},{"cell_type":"code","source":["# Simplify Employment to 5 binary indicators\n","# (Employment is a multi-select column with ';' separator)\n","\n","df_work['is_employed_fulltime'] = df_work['Employment'].apply(\n","    lambda x: 1 if pd.notna(x) and 'Employed, full-time' in x else 0\n",")\n","\n","df_work['is_employed_parttime'] = df_work['Employment'].apply(\n","    lambda x: 1 if pd.notna(x) and 'Employed, part-time' in x else 0\n",")\n","\n","df_work['is_freelancer'] = df_work['Employment'].apply(\n","    lambda x: 1 if pd.notna(x) and 'Independent contractor' in x else 0\n",")\n","\n","df_work['is_student'] = df_work['Employment'].apply(\n","    lambda x: 1 if pd.notna(x) and 'Student' in x else 0\n",")\n","\n","df_work['is_unemployed'] = df_work['Employment'].apply(\n","    lambda x: 1 if pd.notna(x) and 'Not employed' in x else 0\n",")\n","\n","# Verify\n","print(\"Employment indicators distribution:\")\n","print(\"=\" * 50)\n","for col in ['is_employed_fulltime', 'is_employed_parttime',\n","            'is_freelancer', 'is_student', 'is_unemployed']:\n","    count = df_work[col].sum()\n","    pct = count / len(df_work) * 100\n","    print(f\"  {col:25s}: {count:>6,} rows ({pct:>5.1f}%)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"44WNvhNjoe_u","executionInfo":{"status":"ok","timestamp":1777929410291,"user_tz":-180,"elapsed":123,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"b97275bb-35cf-4896-fe39-152e6ac300fe"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["Employment indicators distribution:\n","==================================================\n","  is_employed_fulltime     : 19,845 rows ( 87.2%)\n","  is_employed_parttime     :  1,359 rows (  6.0%)\n","  is_freelancer            :  3,794 rows ( 16.7%)\n","  is_student               :  1,523 rows (  6.7%)\n","  is_unemployed            :    156 rows (  0.7%)\n"]}]},{"cell_type":"markdown","source":["### 3.4.5 One-Hot Encoding for nominal categorical features\n","\n","We apply One-Hot Encoding to nominal (no natural order) categorical columns:\n","- `Region` (11 categories)\n","- `DevCategory` (7 categories)\n","- `RemoteWork` (3 categories)\n","- `MainBranch` (developer type self-description)\n","- `Industry` (company industry)\n","- `AISelect` (AI tool usage)\n","\n","Note: `Employment` was already handled separately in 3.4.4 (multi-select).\n","\n","Each category becomes a binary column (0 or 1), allowing the model to\n","learn category-specific patterns without imposing artificial ordering."],"metadata":{"id":"rOs2JPo4mgkV"}},{"cell_type":"code","source":["# Columns to one-hot encode (removed Employment - handled separately)\n","nominal_columns = [\n","    'Region',\n","    'DevCategory',\n","    'RemoteWork',\n","    'MainBranch',\n","    'Industry',\n","    'AISelect'\n","]\n","\n","print(\"Before One-Hot Encoding:\")\n","print(f\"  Number of columns in df_work: {df_work.shape[1]}\")\n","\n","# Fill NaN with 'Unknown' before encoding\n","for col in nominal_columns:\n","    df_work[col] = df_work[col].fillna('Unknown')\n","\n","# Apply One-Hot Encoding\n","df_encoded = pd.get_dummies(\n","    df_work,\n","    columns=nominal_columns,\n","    drop_first=True,\n","    dtype=int\n",")\n","\n","print(f\"\\nAfter One-Hot Encoding:\")\n","print(f\"  Number of columns: {df_encoded.shape[1]}\")\n","print(f\"  Number of new columns added: {df_encoded.shape[1] - df_work.shape[1] + len(nominal_columns)}\")\n","\n","# Show some of the new columns\n","new_cols = [col for col in df_encoded.columns if col not in df_work.columns]\n","print(f\"\\nFirst 20 new columns:\")\n","for col in new_cols[:20]:\n","    print(f\"  - {col}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ffr7EkTmmhUg","executionInfo":{"status":"ok","timestamp":1777929410319,"user_tz":-180,"elapsed":27,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"b544f240-ab71-41f3-9110-7fd50f291766"},"execution_count":28,"outputs":[{"output_type":"stream","name":"stdout","text":["Before One-Hot Encoding:\n","  Number of columns in df_work: 30\n","\n","After One-Hot Encoding:\n","  Number of columns: 61\n","  Number of new columns added: 37\n","\n","First 20 new columns:\n","  - Region_Asia_Developing\n","  - Region_Asia_Pacific_Developed\n","  - Region_Eastern_Europe\n","  - Region_Latin_America\n","  - Region_Middle_East\n","  - Region_Nordic\n","  - Region_North_America\n","  - Region_Other\n","  - Region_Southern_Europe\n","  - Region_Western_Europe\n","  - DevCategory_Data\n","  - DevCategory_Frontend\n","  - DevCategory_FullStack\n","  - DevCategory_Infrastructure\n","  - DevCategory_Management\n","  - DevCategory_Other\n","  - RemoteWork_In-person\n","  - RemoteWork_Remote\n","  - RemoteWork_Unknown\n","  - MainBranch_I am not primarily a developer, but I write code sometimes as part of my work/studies\n"]}]},{"cell_type":"markdown","source":["## 3.5 Feature Engineering - Multi-Select Columns\n","\n","We have 6 columns containing lists of technologies (separated by ';').\n","We extract two types of features:\n","\n","1. **Counts** - Number of technologies the developer has used\n","   - More technologies → typically more experienced\n","   \n","2. **Binary indicators** - Specific high-value technologies\n","   - Some technologies correlate strongly with high salary\n","   - Examples: AWS, Python, Kubernetes"],"metadata":{"id":"7b3MPdLBqSKo"}},{"cell_type":"code","source":["# Helper function to count items in semicolon-separated list\n","def count_items(value):\n","    \"\"\"Count number of items in a ';'-separated string.\"\"\"\n","    if pd.isna(value):\n","        return 0\n","    return len(str(value).split(';'))\n","\n","# Create count features for each multi-select column\n","multi_select_cols = {\n","    'LanguageHaveWorkedWith': 'num_languages',\n","    'DatabaseHaveWorkedWith': 'num_databases',\n","    'PlatformHaveWorkedWith': 'num_platforms',\n","    'WebframeHaveWorkedWith': 'num_webframes',\n","    'AISearchDevHaveWorkedWith': 'num_ai_tools',\n","}\n","\n","print(\"Creating count features:\")\n","print(\"=\" * 60)\n","for source_col, new_col in multi_select_cols.items():\n","    df_encoded[new_col] = df_encoded[source_col].apply(count_items)\n","\n","    # Statistics\n","    mean_val = df_encoded[new_col].mean()\n","    median_val = df_encoded[new_col].median()\n","    max_val = df_encoded[new_col].max()\n","\n","    print(f\"\\n{new_col}:\")\n","    print(f\"  Mean: {mean_val:.1f}, Median: {median_val:.0f}, Max: {max_val}\")\n","\n","# Visualize correlation with salary\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Correlation with salary:\")\n","for new_col in multi_select_cols.values():\n","    corr = df_encoded[new_col].corr(df_encoded['ConvertedCompYearly'])\n","    print(f\"  {new_col:20s} ↔ Salary:  {corr:+.3f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dz8fDR68qS9L","executionInfo":{"status":"ok","timestamp":1777929410451,"user_tz":-180,"elapsed":97,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"5fc4927b-f20b-46b0-ac23-fe2edff0de05"},"execution_count":29,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating count features:\n","============================================================\n","\n","num_languages:\n","  Mean: 5.3, Median: 5, Max: 49\n","\n","num_databases:\n","  Mean: 2.7, Median: 2, Max: 35\n","\n","num_platforms:\n","  Mean: 1.8, Median: 1, Max: 27\n","\n","num_webframes:\n","  Mean: 2.8, Median: 2, Max: 36\n","\n","num_ai_tools:\n","  Mean: 1.7, Median: 2, Max: 25\n","\n","============================================================\n","Correlation with salary:\n","  num_languages        ↔ Salary:  +0.024\n","  num_databases        ↔ Salary:  -0.020\n","  num_platforms        ↔ Salary:  +0.032\n","  num_webframes        ↔ Salary:  -0.091\n","  num_ai_tools         ↔ Salary:  -0.054\n"]}]},{"cell_type":"markdown","source":["### 3.5.1 Binary indicators for high-value technologies\n","\n","Beyond simply counting technologies, we create binary flags for specific\n","technologies that historically correlate with higher salaries:\n","\n","- **High-paying languages**: Python, Go, Rust, TypeScript, Scala\n","- **Cloud/DevOps**: AWS, Azure, Google Cloud, Kubernetes, Docker\n","- **AI tools**: ChatGPT, GitHub Copilot\n","\n","These flags capture not just *how many* but *which* technologies\n","the developer uses."],"metadata":{"id":"u6W1c-r4qihJ"}},{"cell_type":"code","source":["# Helper function to check if technology is mentioned\n","def has_tech(value, tech_keyword):\n","    \"\"\"Check if a specific technology appears in the multi-select string.\"\"\"\n","    if pd.isna(value):\n","        return 0\n","    return int(tech_keyword.lower() in str(value).lower())\n","\n","# Define key technologies and their source columns (CORRECTED)\n","tech_indicators = [\n","    # High-paying languages (in LanguageHaveWorkedWith)\n","    ('uses_Python',     'LanguageHaveWorkedWith',     'Python'),\n","    ('uses_Go',         'LanguageHaveWorkedWith',     'Go'),\n","    ('uses_Rust',       'LanguageHaveWorkedWith',     'Rust'),\n","    ('uses_TypeScript', 'LanguageHaveWorkedWith',     'TypeScript'),\n","    ('uses_Scala',      'LanguageHaveWorkedWith',     'Scala'),\n","\n","    # Cloud platforms (in PlatformHaveWorkedWith)\n","    ('uses_AWS',        'PlatformHaveWorkedWith',     'Amazon Web Services'),\n","    ('uses_Azure',      'PlatformHaveWorkedWith',     'Microsoft Azure'),\n","    ('uses_GCP',        'PlatformHaveWorkedWith',     'Google Cloud'),\n","\n","    # DevOps tools (in ToolsTechHaveWorkedWith - CORRECTED!)\n","    ('uses_Kubernetes', 'ToolsTechHaveWorkedWith',    'Kubernetes'),\n","    ('uses_Docker',     'ToolsTechHaveWorkedWith',    'Docker'),\n","    ('uses_Terraform',  'ToolsTechHaveWorkedWith',    'Terraform'),\n","\n","    # ML/AI frameworks (in MiscTechHaveWorkedWith - CORRECTED!)\n","    ('uses_TensorFlow', 'MiscTechHaveWorkedWith',     'TensorFlow'),\n","    ('uses_PyTorch',    'MiscTechHaveWorkedWith',     'PyTorch'),\n","\n","    # AI Coding tools (in AISearchDevHaveWorkedWith)\n","    ('uses_ChatGPT',    'AISearchDevHaveWorkedWith',  'ChatGPT'),\n","    ('uses_Copilot',    'AISearchDevHaveWorkedWith',  'GitHub Copilot'),\n","]\n","\n","# Make sure the source columns are in df_encoded (add them if missing)\n","for new_col, source_col, keyword in tech_indicators:\n","    if source_col not in df_encoded.columns:\n","        df_encoded[source_col] = df.loc[df_encoded.index, source_col].values\n","\n","# Create binary indicators\n","print(\"Creating binary technology indicators:\")\n","print(\"=\" * 65)\n","for new_col, source_col, keyword in tech_indicators:\n","    df_encoded[new_col] = df_encoded[source_col].apply(lambda x: has_tech(x, keyword))\n","\n","    count = df_encoded[new_col].sum()\n","    pct = count / len(df_encoded) * 100\n","    corr = df_encoded[new_col].corr(df_encoded['ConvertedCompYearly'])\n","\n","    print(f\"  {new_col:20s} {count:>6,} users ({pct:>5.1f}%)  Corr: {corr:+.3f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IK-XDSQqqjGc","executionInfo":{"status":"ok","timestamp":1777929410812,"user_tz":-180,"elapsed":358,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"15cbeb8b-0408-4ba5-992a-22c586fdd29d"},"execution_count":30,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating binary technology indicators:\n","=================================================================\n","  uses_Python          11,142 users ( 48.9%)  Corr: +0.044\n","  uses_Go               3,388 users ( 14.9%)  Corr: +0.087\n","  uses_Rust             2,853 users ( 12.5%)  Corr: +0.082\n","  uses_TypeScript       9,703 users ( 42.6%)  Corr: +0.010\n","  uses_Scala              669 users (  2.9%)  Corr: +0.058\n","  uses_AWS              9,894 users ( 43.5%)  Corr: +0.139\n","  uses_Azure            5,825 users ( 25.6%)  Corr: +0.047\n","  uses_GCP              4,668 users ( 20.5%)  Corr: +0.032\n","  uses_Kubernetes       4,180 users ( 18.4%)  Corr: -0.004\n","  uses_Docker          11,591 users ( 50.9%)  Corr: -0.002\n","  uses_Terraform        2,272 users ( 10.0%)  Corr: +0.000\n","  uses_TensorFlow       1,717 users (  7.5%)  Corr: -0.003\n","  uses_PyTorch          1,720 users (  7.6%)  Corr: -0.006\n","  uses_ChatGPT         14,827 users ( 65.1%)  Corr: -0.102\n","  uses_Copilot          8,203 users ( 36.0%)  Corr: +0.060\n"]}]},{"cell_type":"markdown","source":["## 3.6 Final dataset preparation\n","\n","We now prepare the final dataset for modeling:\n","1. Select only numerical and encoded features (drop original text columns)\n","2. Apply log transformation to target variable\n","3. Split into X (features) and y (target)\n","4. Verify final dataset is clean and ready"],"metadata":{"id":"lIsK5gLar6Y8"}},{"cell_type":"code","source":["# Identify columns to keep (numerical features only)\n","# Drop original text columns that have been encoded\n","columns_to_drop = [\n","    # Original text columns - already encoded\n","    'Country',           # → Region_*\n","    'DevType',           # → DevCategory_*\n","    'EdLevel',           # → EdLevel_encoded\n","    'OrgSize',           # → OrgSize_encoded\n","    'Age',               # → Age_encoded\n","    'Employment',        # → is_employed_*, is_freelancer, etc.\n","\n","    # Original multi-select columns - already counted/flagged\n","    'LanguageHaveWorkedWith',\n","    'DatabaseHaveWorkedWith',\n","    'PlatformHaveWorkedWith',\n","    'WebframeHaveWorkedWith',\n","    'AISearchDevHaveWorkedWith',\n","    'ToolsTechHaveWorkedWith',\n","    'MiscTechHaveWorkedWith',\n","\n","    # Other original columns (kept just for reference, not features)\n","    'JobSat',  # Has 55%+ NaN - too many missing values to use\n","]\n","\n","# Drop these columns\n","df_final = df_encoded.drop(columns=[c for c in columns_to_drop if c in df_encoded.columns])\n","\n","print(f\"Final dataset shape: {df_final.shape}\")\n","print(f\"Number of features: {df_final.shape[1] - 1}\")  # -1 for target\n","print(f\"\\nAll columns:\")\n","for col in df_final.columns:\n","    print(f\"  - {col}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iOf7uYHyr4ne","executionInfo":{"status":"ok","timestamp":1777929410870,"user_tz":-180,"elapsed":10,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"7bee2e44-dc8d-49ea-eb73-a74aeeb6cd3c"},"execution_count":31,"outputs":[{"output_type":"stream","name":"stdout","text":["Final dataset shape: (22765, 69)\n","Number of features: 68\n","\n","All columns:\n","  - ConvertedCompYearly\n","  - YearsCode\n","  - YearsCodePro\n","  - WorkExp\n","  - EdLevel_encoded\n","  - OrgSize_encoded\n","  - Age_encoded\n","  - is_employed_fulltime\n","  - is_employed_parttime\n","  - is_freelancer\n","  - is_student\n","  - is_unemployed\n","  - Region_Asia_Developing\n","  - Region_Asia_Pacific_Developed\n","  - Region_Eastern_Europe\n","  - Region_Latin_America\n","  - Region_Middle_East\n","  - Region_Nordic\n","  - Region_North_America\n","  - Region_Other\n","  - Region_Southern_Europe\n","  - Region_Western_Europe\n","  - DevCategory_Data\n","  - DevCategory_Frontend\n","  - DevCategory_FullStack\n","  - DevCategory_Infrastructure\n","  - DevCategory_Management\n","  - DevCategory_Other\n","  - RemoteWork_In-person\n","  - RemoteWork_Remote\n","  - RemoteWork_Unknown\n","  - MainBranch_I am not primarily a developer, but I write code sometimes as part of my work/studies\n","  - Industry_Computer Systems Design and Services\n","  - Industry_Energy\n","  - Industry_Fintech\n","  - Industry_Government\n","  - Industry_Healthcare\n","  - Industry_Higher Education\n","  - Industry_Insurance\n","  - Industry_Internet, Telecomm or Information Services\n","  - Industry_Manufacturing\n","  - Industry_Media & Advertising Services\n","  - Industry_Other:\n","  - Industry_Retail and Consumer Services\n","  - Industry_Software Development\n","  - Industry_Transportation, or Supply Chain\n","  - Industry_Unknown\n","  - AISelect_No, but I plan to soon\n","  - AISelect_Yes\n","  - num_languages\n","  - num_databases\n","  - num_platforms\n","  - num_webframes\n","  - num_ai_tools\n","  - uses_Python\n","  - uses_Go\n","  - uses_Rust\n","  - uses_TypeScript\n","  - uses_Scala\n","  - uses_AWS\n","  - uses_Azure\n","  - uses_GCP\n","  - uses_Kubernetes\n","  - uses_Docker\n","  - uses_Terraform\n","  - uses_TensorFlow\n","  - uses_PyTorch\n","  - uses_ChatGPT\n","  - uses_Copilot\n"]}]},{"cell_type":"markdown","source":["### 3.7 Target preparation and final checks\n","\n","Final preparations:\n","1. Apply log transformation to target (handles right-skewed distribution)\n","2. Split into X (features) and y (target)\n","3. Verify no missing values\n","4. Check final shapes"],"metadata":{"id":"CnL5VbylsKb2"}},{"cell_type":"code","source":["# Step 1: Apply log transformation to target\n","# log1p = log(1 + x), handles potential zero values\n","df_final['log_salary'] = np.log1p(df_final['ConvertedCompYearly'])\n","\n","print(\"Target transformation:\")\n","print(f\"Original salary - Mean: ${df_final['ConvertedCompYearly'].mean():,.0f}, Median: ${df_final['ConvertedCompYearly'].median():,.0f}\")\n","print(f\"Log salary      - Mean: {df_final['log_salary'].mean():.2f}, Median: {df_final['log_salary'].median():.2f}\")\n","\n","# Step 2: Define X (features) and y (target)\n","# We'll use log_salary as our target for regression\n","X = df_final.drop(columns=['ConvertedCompYearly', 'log_salary'])\n","y_regression = df_final['log_salary']     # For regression model\n","y_original = df_final['ConvertedCompYearly']  # Keep original for reference\n","\n","print(f\"\\nDataset shapes:\")\n","print(f\"  X (features): {X.shape}\")\n","print(f\"  y (target):   {y_regression.shape}\")\n","\n","# Step 3: Verify no missing values\n","total_missing = X.isna().sum().sum()\n","print(f\"\\nMissing values check:\")\n","print(f\"  Total NaN in X: {total_missing}\")\n","if total_missing > 0:\n","    print(\"  Columns with missing values:\")\n","    print(X.isna().sum()[X.isna().sum() > 0])\n","else:\n","    print(\"  All clean! ✓\")\n","\n","# Step 4: Verify all features are numeric\n","non_numeric = X.select_dtypes(exclude=['int64', 'float64', 'int32', 'float32']).columns.tolist()\n","if non_numeric:\n","    print(f\"\\n⚠️ WARNING: Non-numeric columns detected: {non_numeric}\")\n","else:\n","    print(\"\\n✓ All features are numeric\")\n","\n","# Final summary\n","print(f\"\\n\" + \"=\" * 60)\n","print(f\"READY FOR MODELING\")\n","print(f\"=\" * 60)\n","print(f\"  Samples:      {len(X):,}\")\n","print(f\"  Features:     {X.shape[1]}\")\n","print(f\"  Target type:  log-transformed salary\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hTIwB_h_sLGY","executionInfo":{"status":"ok","timestamp":1777929410877,"user_tz":-180,"elapsed":6,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"44f43441-95d0-4bf3-b2c2-986f0c82bd41"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stdout","text":["Target transformation:\n","Original salary - Mean: $81,417, Median: $66,592\n","Log salary      - Mean: 10.91, Median: 11.11\n","\n","Dataset shapes:\n","  X (features): (22765, 68)\n","  y (target):   (22765,)\n","\n","Missing values check:\n","  Total NaN in X: 0\n","  All clean! ✓\n","\n","✓ All features are numeric\n","\n","============================================================\n","READY FOR MODELING\n","============================================================\n","  Samples:      22,765\n","  Features:     68\n","  Target type:  log-transformed salary\n"]}]},{"cell_type":"markdown","source":["## 4. Regression Modeling\n","\n","We train multiple regression models to predict salary, comparing their\n","performance to identify the best approach.\n","\n","**Modeling strategy**:\n","1. Split data into train (80%) and test (20%) sets\n","2. Train baseline model (Linear Regression)\n","3. Train more complex models (Random Forest, XGBoost)\n","4. Evaluate using R², MAE, and RMSE\n","5. Identify most important features\n","\n","**Why log transformation matters**: We trained on `log(salary)` but will\n","evaluate metrics in original USD scale to make results interpretable."],"metadata":{"id":"1y5kyuyDsfg6"}},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","\n","# Split the data: 80% train, 20% test\n","X_train, X_test, y_train, y_test = train_test_split(\n","    X, y_regression,\n","    test_size=0.2,\n","    random_state=42  # For reproducibility\n",")\n","\n","# Also split the original (non-log) salary for evaluation later\n","_, _, y_train_original, y_test_original = train_test_split(\n","    X, y_original,\n","    test_size=0.2,\n","    random_state=42  # Same seed - same split\n",")\n","\n","print(f\"Training set:\")\n","print(f\"  X_train shape: {X_train.shape}\")\n","print(f\"  y_train shape: {y_train.shape}\")\n","\n","print(f\"\\nTest set:\")\n","print(f\"  X_test shape:  {X_test.shape}\")\n","print(f\"  y_test shape:  {y_test.shape}\")\n","\n","print(f\"\\nSplit verification:\")\n","print(f\"  Train: {len(X_train):,} samples ({len(X_train)/len(X)*100:.1f}%)\")\n","print(f\"  Test:  {len(X_test):,} samples ({len(X_test)/len(X)*100:.1f}%)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"StgEHzHGsgR2","executionInfo":{"status":"ok","timestamp":1777929411335,"user_tz":-180,"elapsed":457,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"959f6d6b-62f9-4e9e-f18b-a8ddb82bef1b"},"execution_count":33,"outputs":[{"output_type":"stream","name":"stdout","text":["Training set:\n","  X_train shape: (18212, 68)\n","  y_train shape: (18212,)\n","\n","Test set:\n","  X_test shape:  (4553, 68)\n","  y_test shape:  (4553,)\n","\n","Split verification:\n","  Train: 18,212 samples (80.0%)\n","  Test:  4,553 samples (20.0%)\n"]}]},{"cell_type":"markdown","source":["### 4.2 Baseline Model: Linear Regression\n","\n","We start with Linear Regression as our baseline. This simple model:\n","- Assumes a linear relationship between features and salary\n","- Trains quickly and is easy to interpret\n","- Provides a benchmark - any complex model should beat it\n","\n","**Evaluation metrics**:\n","- **R²** (R-squared): Percentage of variance explained (0-1, higher is better)\n","- **MAE** (Mean Absolute Error): Average error in dollars\n","- **RMSE** (Root Mean Squared Error): Penalizes large errors more"],"metadata":{"id":"NXnfRW_VssIs"}},{"cell_type":"code","source":["from sklearn.linear_model import LinearRegression\n","from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\n","\n","# Train Linear Regression\n","print(\"Training Linear Regression...\")\n","linear_model = LinearRegression()\n","linear_model.fit(X_train, y_train)\n","\n","# Make predictions on test set (in log scale)\n","y_pred_log = linear_model.predict(X_test)\n","\n","# Convert predictions back to dollars\n","y_pred_dollars = np.expm1(y_pred_log)\n","\n","# Calculate metrics on log-scale (what model actually learned)\n","r2_log = r2_score(y_test, y_pred_log)\n","\n","# Calculate metrics on dollar-scale (interpretable)\n","r2_dollars = r2_score(y_test_original, y_pred_dollars)\n","mae_dollars = mean_absolute_error(y_test_original, y_pred_dollars)\n","rmse_dollars = np.sqrt(mean_squared_error(y_test_original, y_pred_dollars))\n","\n","# Display results\n","print(\"\\n\" + \"=\" * 60)\n","print(\"LINEAR REGRESSION RESULTS\")\n","print(\"=\" * 60)\n","print(f\"R² (log scale):    {r2_log:.4f}\")\n","print(f\"R² (dollar scale): {r2_dollars:.4f}\")\n","print(f\"\\nIn dollar terms:\")\n","print(f\"  MAE:  ${mae_dollars:>10,.0f}  (avg prediction error)\")\n","print(f\"  RMSE: ${rmse_dollars:>10,.0f}  (penalizes large errors)\")\n","\n","# Sample predictions for context\n","print(f\"\\nSample predictions (first 5 test samples):\")\n","print(f\"{'Actual':>12} {'Predicted':>12} {'Error':>12}\")\n","for actual, pred in zip(y_test_original[:5], y_pred_dollars[:5]):\n","    error = pred - actual\n","    print(f\"${actual:>10,.0f}  ${pred:>10,.0f}  ${error:>+10,.0f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"elU6eXi9ssxB","executionInfo":{"status":"ok","timestamp":1777929411744,"user_tz":-180,"elapsed":406,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"53209fab-aa38-483a-cca9-68d62bdfb7f4"},"execution_count":34,"outputs":[{"output_type":"stream","name":"stdout","text":["Training Linear Regression...\n","\n","============================================================\n","LINEAR REGRESSION RESULTS\n","============================================================\n","R² (log scale):    0.5319\n","R² (dollar scale): 0.4333\n","\n","In dollar terms:\n","  MAE:  $    30,917  (avg prediction error)\n","  RMSE: $    49,592  (penalizes large errors)\n","\n","Sample predictions (first 5 test samples):\n","      Actual    Predicted        Error\n","$    76,570  $    67,090  $    -9,480\n","$   150,369  $    41,028  $  -109,341\n","$    88,073  $    79,849  $    -8,224\n","$    89,172  $    85,409  $    -3,763\n","$    57,325  $    45,352  $   -11,973\n"]}]},{"cell_type":"markdown","source":["### 4.3 Random Forest Regressor\n","\n","Random Forest is an ensemble of decision trees that:\n","- Captures non-linear relationships (e.g., experience plateau effect)\n","- Handles feature interactions naturally (Senior + USA = high salary)\n","- Robust to outliers\n","- No need for feature scaling\n","\n","This is typically a **major step up** from Linear Regression.\n","\n","We'll use 100 trees (good balance of speed vs accuracy)."],"metadata":{"id":"9FL0vzjXs6g4"}},{"cell_type":"code","source":["from sklearn.ensemble import RandomForestRegressor\n","import time\n","\n","# Train Random Forest\n","print(\"Training Random Forest (this takes ~30-60 seconds)...\")\n","start_time = time.time()\n","\n","rf_model = RandomForestRegressor(\n","    n_estimators=100,      # Number of trees\n","    max_depth=20,          # Maximum tree depth (prevents overfitting)\n","    min_samples_split=5,   # Minimum samples to split a node\n","    random_state=42,       # Reproducibility\n","    n_jobs=-1              # Use all CPU cores\n",")\n","rf_model.fit(X_train, y_train)\n","\n","elapsed = time.time() - start_time\n","print(f\"Training completed in {elapsed:.1f} seconds\")\n","\n","# Make predictions\n","y_pred_log_rf = rf_model.predict(X_test)\n","y_pred_dollars_rf = np.expm1(y_pred_log_rf)\n","\n","# Calculate metrics\n","r2_log_rf = r2_score(y_test, y_pred_log_rf)\n","r2_dollars_rf = r2_score(y_test_original, y_pred_dollars_rf)\n","mae_dollars_rf = mean_absolute_error(y_test_original, y_pred_dollars_rf)\n","rmse_dollars_rf = np.sqrt(mean_squared_error(y_test_original, y_pred_dollars_rf))\n","\n","# Display results\n","print(\"\\n\" + \"=\" * 60)\n","print(\"RANDOM FOREST RESULTS\")\n","print(\"=\" * 60)\n","print(f\"R² (log scale):    {r2_log_rf:.4f}\")\n","print(f\"R² (dollar scale): {r2_dollars_rf:.4f}\")\n","print(f\"\\nIn dollar terms:\")\n","print(f\"  MAE:  ${mae_dollars_rf:>10,.0f}\")\n","print(f\"  RMSE: ${rmse_dollars_rf:>10,.0f}\")\n","\n","# Compare with Linear Regression\n","print(\"\\n\" + \"=\" * 60)\n","print(\"COMPARISON: Linear vs Random Forest\")\n","print(\"=\" * 60)\n","print(f\"{'Metric':<25} {'Linear':>15} {'Random Forest':>15} {'Improvement':>15}\")\n","print(\"-\" * 70)\n","print(f\"{'R² (log)':<25} {r2_log:>15.4f} {r2_log_rf:>15.4f} {r2_log_rf-r2_log:>+15.4f}\")\n","print(f\"{'R² (dollar)':<25} {r2_dollars:>15.4f} {r2_dollars_rf:>15.4f} {r2_dollars_rf-r2_dollars:>+15.4f}\")\n","print(f\"{'MAE ($)':<25} {mae_dollars:>15,.0f} {mae_dollars_rf:>15,.0f} {mae_dollars-mae_dollars_rf:>+15,.0f}\")\n","print(f\"{'RMSE ($)':<25} {rmse_dollars:>15,.0f} {rmse_dollars_rf:>15,.0f} {rmse_dollars-rmse_dollars_rf:>+15,.0f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QcpwklJYs7UQ","executionInfo":{"status":"ok","timestamp":1777929428488,"user_tz":-180,"elapsed":16741,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"b4472d8e-1c52-4137-bb4d-1c3d4c7d152c"},"execution_count":35,"outputs":[{"output_type":"stream","name":"stdout","text":["Training Random Forest (this takes ~30-60 seconds)...\n","Training completed in 16.2 seconds\n","\n","============================================================\n","RANDOM FOREST RESULTS\n","============================================================\n","R² (log scale):    0.5693\n","R² (dollar scale): 0.5126\n","\n","In dollar terms:\n","  MAE:  $    27,992\n","  RMSE: $    45,991\n","\n","============================================================\n","COMPARISON: Linear vs Random Forest\n","============================================================\n","Metric                             Linear   Random Forest     Improvement\n","----------------------------------------------------------------------\n","R² (log)                           0.5319          0.5693         +0.0374\n","R² (dollar)                        0.4333          0.5126         +0.0793\n","MAE ($)                            30,917          27,992          +2,925\n","RMSE ($)                           49,592          45,991          +3,601\n"]}]},{"cell_type":"markdown","source":["### 4.4 XGBoost Regressor\n","\n","XGBoost (eXtreme Gradient Boosting) is one of the most powerful\n","regression algorithms. Unlike Random Forest's parallel trees, XGBoost\n","builds trees **sequentially**, where each new tree corrects the errors\n","of the previous ones.\n","\n","**Why XGBoost is typically better**:\n","- Gradient boosting → systematic error correction\n","- Built-in regularization → less overfitting\n","- Often wins ML competitions (Kaggle)\n","\n","We'll compare it against our previous models."],"metadata":{"id":"aAE_ptIntgFo"}},{"cell_type":"code","source":["# XGBoost - install if needed\n","try:\n","    import xgboost as xgb\n","except ImportError:\n","    !pip install xgboost -q\n","    import xgboost as xgb\n","\n","print(\"Training XGBoost (this takes ~20-40 seconds)...\")\n","start_time = time.time()\n","\n","xgb_model = xgb.XGBRegressor(\n","    n_estimators=300,         # Number of boosting rounds\n","    learning_rate=0.05,       # Step size (lower = slower but better)\n","    max_depth=6,              # Max tree depth (lower than RF - boosting needs less)\n","    min_child_weight=3,       # Min sum of weights in a child node\n","    subsample=0.8,            # Use 80% of data per tree (regularization)\n","    colsample_bytree=0.8,     # Use 80% of features per tree\n","    random_state=42,\n","    n_jobs=-1,\n","    tree_method='hist'        # Faster training\n",")\n","xgb_model.fit(X_train, y_train)\n","\n","elapsed = time.time() - start_time\n","print(f\"Training completed in {elapsed:.1f} seconds\")\n","\n","# Make predictions\n","y_pred_log_xgb = xgb_model.predict(X_test)\n","y_pred_dollars_xgb = np.expm1(y_pred_log_xgb)\n","\n","# Calculate metrics\n","r2_log_xgb = r2_score(y_test, y_pred_log_xgb)\n","r2_dollars_xgb = r2_score(y_test_original, y_pred_dollars_xgb)\n","mae_dollars_xgb = mean_absolute_error(y_test_original, y_pred_dollars_xgb)\n","rmse_dollars_xgb = np.sqrt(mean_squared_error(y_test_original, y_pred_dollars_xgb))\n","\n","# Display results\n","print(\"\\n\" + \"=\" * 60)\n","print(\"XGBOOST RESULTS\")\n","print(\"=\" * 60)\n","print(f\"R² (log scale):    {r2_log_xgb:.4f}\")\n","print(f\"R² (dollar scale): {r2_dollars_xgb:.4f}\")\n","print(f\"\\nIn dollar terms:\")\n","print(f\"  MAE:  ${mae_dollars_xgb:>10,.0f}\")\n","print(f\"  RMSE: ${rmse_dollars_xgb:>10,.0f}\")\n","\n","# Final comparison of all 3 models\n","print(\"\\n\" + \"=\" * 80)\n","print(\"FINAL COMPARISON: All Regression Models\")\n","print(\"=\" * 80)\n","print(f\"{'Metric':<20} {'Linear':>15} {'Random Forest':>15} {'XGBoost':>15}\")\n","print(\"-\" * 80)\n","print(f\"{'R² (log)':<20} {r2_log:>15.4f} {r2_log_rf:>15.4f} {r2_log_xgb:>15.4f}\")\n","print(f\"{'R² (dollar)':<20} {r2_dollars:>15.4f} {r2_dollars_rf:>15.4f} {r2_dollars_xgb:>15.4f}\")\n","print(f\"{'MAE ($)':<20} {mae_dollars:>15,.0f} {mae_dollars_rf:>15,.0f} {mae_dollars_xgb:>15,.0f}\")\n","print(f\"{'RMSE ($)':<20} {rmse_dollars:>15,.0f} {rmse_dollars_rf:>15,.0f} {rmse_dollars_xgb:>15,.0f}\")\n","\n","# Identify best model\n","results = {\n","    'Linear': r2_dollars,\n","    'Random Forest': r2_dollars_rf,\n","    'XGBoost': r2_dollars_xgb\n","}\n","best_model = max(results, key=results.get)\n","print(f\"\\n🏆 Best model: {best_model} (R² = {results[best_model]:.4f})\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oYgig4OQtg1a","executionInfo":{"status":"ok","timestamp":1777929430240,"user_tz":-180,"elapsed":1751,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"296e5153-cdc5-456c-9cbf-aefdde2c02f8"},"execution_count":36,"outputs":[{"output_type":"stream","name":"stdout","text":["Training XGBoost (this takes ~20-40 seconds)...\n","Training completed in 1.3 seconds\n","\n","============================================================\n","XGBOOST RESULTS\n","============================================================\n","R² (log scale):    0.5810\n","R² (dollar scale): 0.5332\n","\n","In dollar terms:\n","  MAE:  $    27,543\n","  RMSE: $    45,012\n","\n","================================================================================\n","FINAL COMPARISON: All Regression Models\n","================================================================================\n","Metric                        Linear   Random Forest         XGBoost\n","--------------------------------------------------------------------------------\n","R² (log)                      0.5319          0.5693          0.5810\n","R² (dollar)                   0.4333          0.5126          0.5332\n","MAE ($)                       30,917          27,992          27,543\n","RMSE ($)                      49,592          45,991          45,012\n","\n","🏆 Best model: XGBoost (R² = 0.5332)\n"]}]},{"cell_type":"markdown","source":["### 4.5 Feature Importance Analysis\n","\n","Understanding which features drive predictions is crucial:\n","- Validates that the model learned meaningful patterns\n","- Reveals which factors truly matter for salary\n","- Helps interpret the model for business stakeholders\n","\n","We'll examine XGBoost's feature importance."],"metadata":{"id":"83ZUAST0t0ht"}},{"cell_type":"code","source":["# Get feature importance from XGBoost\n","feature_importance = pd.DataFrame({\n","    'feature': X.columns,\n","    'importance': xgb_model.feature_importances_\n","}).sort_values('importance', ascending=False)\n","\n","# Display top 20\n","print(\"Top 20 Most Important Features:\")\n","print(\"=\" * 60)\n","print(f\"{'Rank':<5} {'Feature':<40} {'Importance':>10}\")\n","print(\"-\" * 60)\n","for rank, (_, row) in enumerate(feature_importance.head(20).iterrows(), 1):\n","    print(f\"{rank:<5} {row['feature']:<40} {row['importance']:>10.4f}\")\n","\n","# Visualize top 20\n","plt.figure(figsize=(12, 8))\n","top_20 = feature_importance.head(20)\n","plt.barh(top_20['feature'][::-1], top_20['importance'][::-1], color='steelblue')\n","plt.xlabel('Feature Importance')\n","plt.title('Top 20 Most Important Features (XGBoost)', fontsize=14)\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/06_feature_importance.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Aggregate by category\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Importance by Feature Category:\")\n","print(\"=\" * 60)\n","\n","categories = {\n","    'Region': lambda x: x.startswith('Region_'),\n","    'DevCategory': lambda x: x.startswith('DevCategory_'),\n","    'Industry': lambda x: x.startswith('Industry_'),\n","    'Experience': lambda x: x in ['YearsCode', 'YearsCodePro', 'WorkExp'],\n","    'Demographics': lambda x: x in ['Age_encoded', 'EdLevel_encoded'],\n","    'Tech (binary)': lambda x: x.startswith('uses_'),\n","    'Tech (count)': lambda x: x.startswith('num_'),\n","    'Employment': lambda x: x.startswith('is_') or x.startswith('Employment_'),\n","    'Other': lambda x: True  # Catches the rest\n","}\n","\n","assigned = set()\n","for cat_name, filter_func in categories.items():\n","    if cat_name == 'Other':\n","        cat_features = feature_importance[~feature_importance['feature'].isin(assigned)]\n","    else:\n","        cat_features = feature_importance[feature_importance['feature'].apply(filter_func)]\n","        assigned.update(cat_features['feature'].tolist())\n","\n","    total = cat_features['importance'].sum()\n","    print(f\"  {cat_name:<20} {total:.4f}  ({total*100:.1f}%)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"0llhIrCIt1Z9","executionInfo":{"status":"ok","timestamp":1777930964873,"user_tz":-180,"elapsed":1126,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"332d7d34-edb7-4da0-a02a-6df73a34dd44"},"execution_count":53,"outputs":[{"output_type":"stream","name":"stdout","text":["Top 20 Most Important Features:\n","============================================================\n","Rank  Feature                                  Importance\n","------------------------------------------------------------\n","1     Region_North_America                         0.3122\n","2     Region_Western_Europe                        0.0965\n","3     Region_Asia_Developing                       0.0793\n","4     Region_Asia_Pacific_Developed                0.0451\n","5     YearsCodePro                                 0.0360\n","6     Region_Nordic                                0.0342\n","7     YearsCode                                    0.0228\n","8     Region_Latin_America                         0.0227\n","9     is_student                                   0.0218\n","10    Region_Other                                 0.0159\n","11    Region_Southern_Europe                       0.0148\n","12    Region_Eastern_Europe                        0.0140\n","13    Age_encoded                                  0.0120\n","14    is_employed_parttime                         0.0119\n","15    RemoteWork_In-person                         0.0092\n","16    is_employed_fulltime                         0.0090\n","17    OrgSize_encoded                              0.0086\n","18    DevCategory_Management                       0.0085\n","19    uses_AWS                                     0.0084\n","20    uses_Copilot                                 0.0079\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x800 with 1 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by Feature Category:\n","============================================================\n","  Region               0.6418  (64.2%)\n","  DevCategory          0.0336  (3.4%)\n","  Industry             0.0597  (6.0%)\n","  Experience           0.0644  (6.4%)\n","  Demographics         0.0171  (1.7%)\n","  Tech (binary)        0.0739  (7.4%)\n","  Tech (count)         0.0200  (2.0%)\n","  Employment           0.0526  (5.3%)\n","  Other                0.0369  (3.7%)\n"]}]},{"cell_type":"markdown","source":["## 5. Classification Modeling\n","\n","We now transform the regression problem into a classification one by\n","categorizing salaries into three levels: Low, Medium, High.\n","\n","This serves multiple purposes:\n","- Some business decisions require categories, not exact values\n","- Classification metrics (accuracy, precision, recall) provide different insights\n","- Required by the assignment specification\n","\n","**Categorization strategy**: Use 33rd and 67th percentiles as thresholds\n","to create three balanced classes."],"metadata":{"id":"3ihl9HYJubZ_"}},{"cell_type":"code","source":["from sklearn.preprocessing import LabelEncoder\n","\n","# Create salary categories using percentiles\n","# Use original salary (not log) for thresholds - more interpretable\n","low_threshold = df_final['ConvertedCompYearly'].quantile(0.33)\n","high_threshold = df_final['ConvertedCompYearly'].quantile(0.67)\n","\n","print(f\"Salary thresholds:\")\n","print(f\"  Low:    < ${low_threshold:,.0f}\")\n","print(f\"  Medium: ${low_threshold:,.0f} - ${high_threshold:,.0f}\")\n","print(f\"  High:   > ${high_threshold:,.0f}\")\n","\n","# Create categorical target\n","def categorize_salary(salary):\n","    if salary < low_threshold:\n","        return 'Low'\n","    elif salary < high_threshold:\n","        return 'Medium'\n","    else:\n","        return 'High'\n","\n","df_final['salary_category'] = df_final['ConvertedCompYearly'].apply(categorize_salary)\n","\n","# Encode to numeric (Low=0, Medium=1, High=2) - for models\n","label_encoder = LabelEncoder()\n","y_classification = label_encoder.fit_transform(df_final['salary_category'])\n","\n","# Show class distribution\n","print(\"\\nClass distribution:\")\n","class_counts = pd.Series(df_final['salary_category']).value_counts()\n","for cls, count in class_counts.items():\n","    pct = count / len(df_final) * 100\n","    print(f\"  {cls:<8}: {count:>6,} ({pct:>5.1f}%)\")\n","\n","# Verify encoding\n","print(\"\\nLabel encoding (model uses these):\")\n","for original, encoded in zip(label_encoder.classes_, range(len(label_encoder.classes_))):\n","    print(f\"  {original} → {encoded}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"TlnOiWZpuUwS","executionInfo":{"status":"ok","timestamp":1777929431000,"user_tz":-180,"elapsed":4,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"237cd4c6-fb9b-4320-88b5-41df778f9934"},"execution_count":38,"outputs":[{"output_type":"stream","name":"stdout","text":["Salary thresholds:\n","  Low:    < $46,185\n","  Medium: $46,185 - $91,719\n","  High:   > $91,719\n","\n","Class distribution:\n","  Medium  :  7,756 ( 34.1%)\n","  High    :  7,517 ( 33.0%)\n","  Low     :  7,492 ( 32.9%)\n","\n","Label encoding (model uses these):\n","  High → 0\n","  Low → 1\n","  Medium → 2\n"]}]},{"cell_type":"markdown","source":["### 5.2 Classification models comparison\n","\n","We train three classification models and compare their performance:\n","1. **Logistic Regression** - Baseline (fast, interpretable)\n","2. **Random Forest Classifier** - Captures non-linear patterns\n","3. **XGBoost Classifier** - Often the best performer\n","\n","**Evaluation metrics**:\n","- **Accuracy**: % of correctly classified samples\n","- **Precision**: When model predicts a class, how often is it right?\n","- **Recall**: Of all actual class members, how many did we catch?\n","- **F1-score**: Balance between precision and recall\n","- **Confusion Matrix**: See where the model gets confused"],"metadata":{"id":"X6NtLvwhusdQ"}},{"cell_type":"code","source":["from sklearn.linear_model import LogisticRegression\n","from sklearn.ensemble import RandomForestClassifier\n","from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n","\n","# Use same train-test split (same indices) but with classification target\n","X_train_cls, X_test_cls, y_train_cls, y_test_cls = train_test_split(\n","    X, y_classification,\n","    test_size=0.2,\n","    random_state=42,\n","    stratify=y_classification  # Keep class balance in both sets\n",")\n","\n","print(f\"Train set: {len(X_train_cls):,} samples\")\n","print(f\"Test set:  {len(X_test_cls):,} samples\")\n","print(f\"\\nClass balance in train: {pd.Series(y_train_cls).value_counts().sort_index().tolist()}\")\n","print(f\"Class balance in test:  {pd.Series(y_test_cls).value_counts().sort_index().tolist()}\")\n","\n","# === MODEL 1: Logistic Regression ===\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Training Logistic Regression...\")\n","log_reg = LogisticRegression(max_iter=1000, random_state=42, n_jobs=-1)\n","log_reg.fit(X_train_cls, y_train_cls)\n","y_pred_lr = log_reg.predict(X_test_cls)\n","acc_lr = accuracy_score(y_test_cls, y_pred_lr)\n","print(f\"Accuracy: {acc_lr:.4f} ({acc_lr*100:.2f}%)\")\n","\n","# === MODEL 2: Random Forest Classifier ===\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Training Random Forest Classifier...\")\n","rf_cls = RandomForestClassifier(\n","    n_estimators=100,\n","    max_depth=20,\n","    min_samples_split=5,\n","    random_state=42,\n","    n_jobs=-1\n",")\n","rf_cls.fit(X_train_cls, y_train_cls)\n","y_pred_rf_cls = rf_cls.predict(X_test_cls)\n","acc_rf_cls = accuracy_score(y_test_cls, y_pred_rf_cls)\n","print(f\"Accuracy: {acc_rf_cls:.4f} ({acc_rf_cls*100:.2f}%)\")\n","\n","# === MODEL 3: XGBoost Classifier ===\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Training XGBoost Classifier...\")\n","xgb_cls = xgb.XGBClassifier(\n","    n_estimators=300,\n","    learning_rate=0.05,\n","    max_depth=6,\n","    random_state=42,\n","    n_jobs=-1,\n","    tree_method='hist'\n",")\n","xgb_cls.fit(X_train_cls, y_train_cls)\n","y_pred_xgb_cls = xgb_cls.predict(X_test_cls)\n","acc_xgb_cls = accuracy_score(y_test_cls, y_pred_xgb_cls)\n","print(f\"Accuracy: {acc_xgb_cls:.4f} ({acc_xgb_cls*100:.2f}%)\")\n","\n","# === FINAL COMPARISON ===\n","print(\"\\n\" + \"=\" * 60)\n","print(\"CLASSIFICATION RESULTS COMPARISON\")\n","print(\"=\" * 60)\n","print(f\"{'Model':<25} {'Accuracy':>15}\")\n","print(\"-\" * 40)\n","print(f\"{'Logistic Regression':<25} {acc_lr:>15.4f}\")\n","print(f\"{'Random Forest':<25} {acc_rf_cls:>15.4f}\")\n","print(f\"{'XGBoost':<25} {acc_xgb_cls:>15.4f}\")\n","\n","# Identify best model\n","results_cls = {\n","    'Logistic Regression': (acc_lr, log_reg, y_pred_lr),\n","    'Random Forest': (acc_rf_cls, rf_cls, y_pred_rf_cls),\n","    'XGBoost': (acc_xgb_cls, xgb_cls, y_pred_xgb_cls)\n","}\n","best_name = max(results_cls, key=lambda k: results_cls[k][0])\n","best_acc, best_model_cls, best_predictions = results_cls[best_name]\n","print(f\"\\n🏆 Best model: {best_name} (Accuracy = {best_acc:.4f})\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pCTUOVE7utJo","executionInfo":{"status":"ok","timestamp":1777929452709,"user_tz":-180,"elapsed":21708,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"5392c293-7390-4518-d515-f6fac930c291"},"execution_count":39,"outputs":[{"output_type":"stream","name":"stdout","text":["Train set: 18,212 samples\n","Test set:  4,553 samples\n","\n","Class balance in train: [6013, 5994, 6205]\n","Class balance in test:  [1504, 1498, 1551]\n","\n","============================================================\n","Training Logistic Regression...\n","Accuracy: 0.6872 (68.72%)\n","\n","============================================================\n","Training Random Forest Classifier...\n","Accuracy: 0.6956 (69.56%)\n","\n","============================================================\n","Training XGBoost Classifier...\n","Accuracy: 0.7039 (70.39%)\n","\n","============================================================\n","CLASSIFICATION RESULTS COMPARISON\n","============================================================\n","Model                            Accuracy\n","----------------------------------------\n","Logistic Regression                0.6872\n","Random Forest                      0.6956\n","XGBoost                            0.7039\n","\n","🏆 Best model: XGBoost (Accuracy = 0.7039)\n"]}]},{"cell_type":"markdown","source":["### 5.3 Detailed evaluation of best classifier (XGBoost)\n","\n","We dive deeper into XGBoost's performance:\n","- **Confusion Matrix**: Visualizes correct vs incorrect predictions per class\n","- **Classification Report**: Precision, recall, F1-score per class\n","\n","This reveals where the model excels and where it struggles."],"metadata":{"id":"qM2Tx5oqvFcV"}},{"cell_type":"code","source":["from sklearn.metrics import classification_report, confusion_matrix\n","\n","# Get class labels\n","class_labels = label_encoder.classes_  # ['High', 'Low', 'Medium']\n","\n","# Confusion Matrix\n","print(\"=\" * 60)\n","print(\"CONFUSION MATRIX (XGBoost)\")\n","print(\"=\" * 60)\n","cm = confusion_matrix(y_test_cls, y_pred_xgb_cls)\n","print(f\"\\nLabels: {class_labels}\")\n","print(f\"\\nConfusion Matrix:\")\n","print(f\"            Predicted\")\n","print(f\"            {'High':>8} {'Low':>8} {'Medium':>8}\")\n","for i, label in enumerate(class_labels):\n","    print(f\"  {label:<8}: {cm[i][0]:>8} {cm[i][1]:>8} {cm[i][2]:>8}\")\n","\n","# Visualize\n","plt.figure(figsize=(10, 7))\n","sns.heatmap(\n","    cm,\n","    annot=True,\n","    fmt='d',\n","    cmap='Blues',\n","    xticklabels=class_labels,\n","    yticklabels=class_labels,\n","    cbar_kws={'label': 'Count'}\n",")\n","plt.title('Confusion Matrix - XGBoost Classifier', fontsize=14)\n","plt.xlabel('Predicted Label')\n","plt.ylabel('True Label')\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/07_confusion_matrix.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Classification Report\n","print(\"\\n\" + \"=\" * 60)\n","print(\"CLASSIFICATION REPORT (XGBoost)\")\n","print(\"=\" * 60)\n","print(classification_report(\n","    y_test_cls,\n","    y_pred_xgb_cls,\n","    target_names=class_labels,\n","    digits=4\n","))\n","\n","# Calculate per-class accuracy\n","print(\"\\nPer-class accuracy:\")\n","for i, label in enumerate(class_labels):\n","    class_total = cm[i].sum()\n","    correct = cm[i][i]\n","    accuracy = correct / class_total\n","    print(f\"  {label:<8}: {correct:>5}/{class_total:>5} = {accuracy:.2%}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"PjCxS2M6vG5r","executionInfo":{"status":"ok","timestamp":1777930990830,"user_tz":-180,"elapsed":647,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"bd4b9091-fdab-41ff-a00e-3e899b39b7b2"},"execution_count":54,"outputs":[{"output_type":"stream","name":"stdout","text":["============================================================\n","CONFUSION MATRIX (XGBoost)\n","============================================================\n","\n","Labels: ['High' 'Low' 'Medium']\n","\n","Confusion Matrix:\n","            Predicted\n","                High      Low   Medium\n","  High    :     1115       61      328\n","  Low     :       54     1135      309\n","  Medium  :      299      297      955\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x700 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA7EAAAKyCAYAAAADwFlDAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAdixJREFUeJzt3Xd4FFXbx/HfhiS0hBJ6k2pCDQRCNTxIVQQRREFBVIo0KRa6SO+CCgSkPXREkKIUERSkSSCAdAIo0msIJYRA6r5/8LLPrgmYhJCdge/Hay/ZM2dm7slmk9x7n3PGYrVarQIAAAAAwARcnB0AAAAAAABJRRILAAAAADANklgAAAAAgGmQxAIAAAAATIMkFgAAAABgGiSxAAAAAADTIIkFAAAAAJgGSSwAAAAAwDRIYgEAAAAApkESC+CJi4iI0IgRI1SnTh2VKVNGPj4+CgkJeaLnrFOnjurUqfNEz/E0mzx5snx8fLRr1y5nhwITWLFihXx8fLRixQpnh+KgTZs28vHxSdD+sJ9Ju3btko+PjyZPnuyEaAEASeXq7AAApL7Dhw/r22+/1Z49e3T16lXFx8crd+7c8vPzU9OmTfXCCy+kaTzjxo3TkiVLVLt2bTVp0kTp0qVTzpw50zQGZ6tTp44uXLggSVq9erW8vb0T9ImLi9OLL76oq1evSpI2btyoggULpuh8K1asUP/+/TV69Gi9/vrrKQ/cII4cOaIWLVqoYMGC+vHHH5UhQ4YEfT744ANt3bpV48aN02uvveawLTY2VmvXrtXPP/+sw4cP68aNG3J1dVWePHlUrlw5vfTSS6pbt65cXP732e6Dr6E9i8UiDw8PeXt7q3nz5mrevPmTueBU4OPjoypVqmjBggUp2v/UqVNauHChdu7cqUuXLik6Olo5cuRQ+fLl1ahRI9WvX9/h62UmD/uZFB4e7uzQAABJQBILPEXi4+M1duxYzZ07V66urqpWrZrq1KkjV1dXnTt3Tlu2bNGqVavUo0cPffjhh2kW1+bNm1WkSBFNmzYtzc45d+7cNDtXUj34g3/58uUJkiNJ2rp1q65evSpXV1fFxsamdXgOWrdurVdeeUX58+d3ahwPlClTRp07d1ZgYKAmTJigzz77zGH7kiVLtHXrVtWvXz9BAnvhwgV169ZNR48eVfbs2VW9enXlz59f8fHxunDhgrZt26bVq1erXr16mjJlSoJzV69eXZUqVZJ0Pxm+fPmyNm7cqAEDBuivv/5S3759n9yFO8ns2bM1fvx4xcfHq1KlSqpRo4YyZsyoS5cuKSgoSOvXr1fz5s01atQoZ4f6SGPHjtXdu3cTtD/sZ5KHh4d++uknZc+ePa1CBACkAEks8BT5+uuvNXfuXJUqVUqTJk3Sc88957D93r17WrhwoW7evJmmcV29elWVK1dO03P+89qNwNXVVZUrV9aqVavUq1cvubm5OWxfvny5PD09VbJkSe3evdtJUd7n5eUlLy8vp8bwT507d9amTZu0YMEC1a9fX1WqVJEknTt3TmPGjJGXl5eGDRvmsE9ERITat2+vU6dOqUOHDurevXuCKm5MTIzWrFmj3377LdHz1qhRQx07dnRoO3/+vF599VUtXLhQPXv2TLQybFZLlizR2LFjVaBAAU2ePFllypRx2B4bG6uVK1dq7969Toow6R72IczDfiZlzJhRxYsXf9JhAQAekznHAQFI4MyZM5o1a5ayZcumWbNmJZrEZciQQR06dFCPHj0c2q9fv66RI0eqTp06Klu2rKpXr66ePXvqxIkTCY7Rr18/+fj46Ny5c5o/f75efvlllS1bVrVr11ZgYKDi4+MT9LVarQoODpaPj498fHzUpk0bSY+ed/mwOXY7d+5Uhw4dFBAQoLJly6pGjRpq1aqVlixZ4tDvYXNiIyMjNWnSJL388ssqV66cqlSpoo4dOyb6B7l9fKtXr9Zrr70mX19fBQQEaMSIEbp3716Cff5N8+bNdf369QQJ0/Xr17V582Y1atRI6dOnT7BfdHS0FixYoPbt26tWrVq21+lBhdFev379bJXe/v37277u9nMDH8wVjIqK0ldffaV69eqpTJkytrmAib02gwYNko+Pj2bMmJEgvkdtSy1ubm4aO3asXF1d1b9/f925c0fx8fHq37+/IiMjNWzYsASJ96xZs3Tq1Ck1a9ZMvXv3TjTZdHNzU7NmzfTll18mOZaCBQuqaNGiio6O1p07dxJs37Rpk9q0aaNKlSrJ19dXTZo00Zw5cx5aYU9O/397DzyY1ynJ4X2XlDmr4eHhGjdunNzc3DRjxowECax0/8OYN998M8EHBon55Zdf9Mknn6h+/foqX768KlWqpFatWmn9+vWJ9k/q+/vIkSPq0aOHXnzxRZUtW1bVqlVT8+bN9c033zj0++ec2H/7mfSoObFhYWEaNWqU6tevr7Jly6pq1arq3r17oj8nH/z8CQ8P17Bhw1SrVi2VLl3acHOGAcCsqMQCT4kVK1YoLi5Ob7311r/ON3V3d7f9+/r162rZsqXOnj2rKlWqqFGjRjp//rzWr1+vLVu2aNasWfL3909wjC+++ELBwcGqXbu2AgICtHHjRk2ePFkxMTH6+OOPJUn16tVTgQIFFBgYqAIFCqhZs2aSpAIFCqToGjdv3qzOnTsrS5Ysqlu3rnLlyqXr16/r2LFj+vHHH9WyZctH7h8VFaX33ntPBw8eVJkyZfTee+8pLCxMP/30k7Zv364JEyaoYcOGCfZbtGiRtm3bpjp16qhatWratm2bFixYoBs3bmjChAnJuob69esra9asWrFihRo0aGBr//HHHxUTE6PmzZtr4sSJCfa7deuWRo0aJX9/f9WqVUtZsmTRuXPntGnTJm3dulULFy6Ur6+vpPtf9/DwcG3cuFF169ZVqVKlHhpP9+7ddezYMdWsWVNZsmR55BzcAQMGaM+ePZo0aZKqVatmO98vv/yiJUuWqFq1aurQoUOyvh7J5e3trR49emjChAkaO3asihYtqt27d+u1115T/fr1E/R/kDR07dr1X4/t6pr0X4kXLlzQqVOnlDdvXuXIkcNh25w5czRmzBhly5ZNjRs3VqZMmbRp0yaNGTNGe/bsUWBgoCwWS4r6J+U9UKBAAXXr1i3B+07SI78XJGn9+vWKiIhQ48aNVaJEiUf2tf858jATJkyQm5ubKlWqZIt106ZN6tGjhwYOHGhLHpN6bZIUEhKit956S+nSpVPdunWVP39+hYeH6+TJk1q6dKm6dOny0HhS+jPp7NmzatOmjS5fvqyAgADVq1dPYWFh2rBhg7Zv3665c+eqfPnyDvtER0frvffeU2RkpOrUqaN06dIl+F4BAKSQFcBT4Z133rF6e3tbd+zYkaz9+vXrZ/X29rZOmDDBoX3z5s1Wb29va/369a1xcXG29r59+1q9vb2tderUsV65csXWHhYWZvX397f6+flZo6KiHI7l7e1tfeeddxKce9KkSVZvb2/rzp07E2xbvny51dvb27p8+XJbW7du3aze3t7WkJCQBP2vX7/u8Lx27drW2rVrO7RNnjzZ6u3tbf3000+t8fHxtvYjR45Yy5QpY/X397fevn07QXyVKlWynjx50tZ+9+5da4MGDawlS5a0Xr58OUEsialdu7a1bNmyVqvVah02bJi1dOnS1qtXr9q2N2rUyNq4cWOr1Wq1tmvXzurt7W09d+6cbXtUVFSi5zpx4oS1QoUK1vfff9+hPbGvn70H3y+vvfaa9caNGwm2P+y1CQkJsZYtW9Zar149a0REhPXSpUvWKlWqWKtUqZLkr8Xjio2Ntb755ptWb29va5kyZaz/+c9/rLdu3UrQ78KFC1Zvb29rrVq1UnSeB1/D9957zzpp0iTrpEmTrF9++aW1b9++1sqVK1urV6+e4P125swZa+nSpa3Vq1e3Xrx40dYeFRVlffvtt63e3t7WlStXprh/ct4DD3vfPcqDnwdLly5N1n4P+347e/Zsgr4RERHWxo0bWytVqmSNjIy0tSf12kaPHm319va2/vLLL4/sZ7X+7/v8nx72tdm5c6fV29vbOmnSJIf2li1bWkuVKmXdunWrQ/vff/9t9fPzs713H6hdu7bV29vb2q5dO+vdu3cTnAcA8HgYTgw8Ja5duyZJypMnT5L3iY6O1tq1a5UtW7YE1YtatWrphRde0JkzZ/THH38k2Ldr167KnTu37bmXl5fq1q2rO3fu6NSpUym8iqRJbLhtUhZi+eGHH+Tm5qZevXo5VMJKly6tZs2aKTw8XL/++muC/d59910VK1bM9jxDhgxq3Lix4uPjdeTIkWTH37x5c9u8Qkk6cOCA/vzzz0eudOvu7p7oa/v888+ratWq2r17t2JiYpIdS/fu3ZUtW7Yk9y9ZsqR69eqls2fPasiQIerdu7du3rypUaNGJet773GkS5fOVu2PiYnRgAEDlCVLlgT9Hrwn7L9P7c2dO1eTJ092eCS2Om1QUJACAwMVGBioadOmaeXKlbpz544aNmyYYJXp1atXKzY2Vm3btlW+fPls7e7u7urVq5ck2V73lPR/IKXvgX8TGhoqScqbN+9jH0uSChUqlKAtc+bMev3113X79m0dOnQowfakXltiQ8OfxIJMR48e1b59+9S0aVPVrFnTYVvRokXVokULnThxItFhxQ8bwg4AeDwMJwaeYX///beioqJUtWpVZcyYMcH2qlWr6vfff1dISEiCIcWJzZV7kMTcvn37icT7yiuvaMOGDWrZsqUaN25sWzU2KQsQRURE6Ny5cypevHiif6BXrVpVS5cu1bFjxxJsS+xaHxwjJbfkKF26tEqVKqUVK1aoY8eOWr58udzc3NSkSZNH7hcSEqJZs2Zp7969unbtWoKk9caNGw9N2B7mwZDg5Hj33Xe1fft2rVq1SpL09ttvq27duknaNzw8XPPmzUvQ3r179ySf32q1aurUqbbnGzZs0EsvvZTk/R+YP3++7bZHDzRr1ixBQvzpp5/aFnaKj49XaGiofv31V40ZM0ZbtmzRypUr5enpKUm2+x9XrVo1wfn8/PyUPn16h++x5PZ/nPeAM4SFhWnGjBnaunWrLl68mGAe+YPbSUlJv7aGDRtq3rx56tatmxo2bKgXXnhBlStXfmIfouzfv992LYnNlf37779t/7f/UCN9+vSJ3qMWAPD4SGKBp0TOnDn1999/68qVKw5Vw0eJiIiw7ZuYXLlyOfSz5+HhkaDtwZzCuLi4JJ0/uRo2bCg3NzfNnTtX3333nRYtWiSLxaKqVauqX79+j5zv9+AaHjYnLbnXmi5dOklyWMgqOZo3b64RI0Zox44dWrt2rerUqfPIROSPP/7Qe++9J0l64YUXVKRIEWXKlEkWi0W//vqrjh07pujo6GTHkZL79VosFtWrV09bt26VJId5jf8mPDxcgYGBCdqTk8TOnz9fwcHBeu2113Tp0iWtWbNGDRs2VL169Rz6PXit7RMle5s2bbL9u3379tq+ffu/ntvFxUV58uRR69atdfXqVU2bNk0LFy60jWR41PeZxWJRzpw5deXKFVtbcvs/znsgKR68D+zPmVI3b97UG2+8oYsXL6pixYqqUaOGPD09lS5dOoWEhGjjxo0O37NJvbby5ctrwYIFmjZtmtasWWOb91yuXDn16tVL1apVe+zY7d26dUvS/Tm7mzdvfmi/f97KJ0eOHA4jPgAAqYckFnhKVKxYUcHBwdq5c6eqV6+epH0eJGcPhl3+04P2xJK41PDgD7zEkt6HVXPr1aunevXqKSIiQn/88Yd++eUXLVu2TB06dNC6desSHVYq/e8awsLCEt3+pK/1n1599VWNGzdO/fr1U0RExCOHEkvStGnTFB0drUWLFiWoij+oFKVESv7IPnfunMaNG6ds2bLp1q1b+uyzz7Ro0SJbYv8oBQsW1PHjx1MSqiTp1KlT+vLLL5U3b159/vnnunnzppo0aaLBgwerUqVKDsNJCxQooDx58ujSpUs6e/Zsqt926cFCPvZDYu2/z/65WJDVatW1a9ccvseS219K+XsgKSpWrKgVK1YoKChIb7zxRoqPI0nLli3TxYsX1bNnzwQLa82YMUMbN25MsE9Sr83f31+zZs3SvXv3dODAAf3222/69ttv1alTJ61ZsybRYcwp9eDr//nnn+udd95J8n4ksADw5DAnFnhKvP7660qXLp2WLFmi69evP7Lvg+pHsWLFlD59eh06dChBFUGS7fYqj1vdeZisWbNKSrzq82CY5cN4eHjoP//5j4YPH65mzZrp2rVrOnDgwCP7FypUSGfPnk30fA+utWTJksm5hBTLli2b6tWrpytXrihPnjwJ5tr909mzZ5UtW7YECezdu3cT3GJHul8xlFK/Kh4bG6vevXvrzp07+uqrr9S2bVvt27cv0epqaouLi1O/fv107949jRgxQp6enipUqJB69eqla9euafjw4Qn2ef311yUpwa1XUsODoeT21fgH75XEbht14MABRUVFOXyPJbe/vX97D7i4uCT79X/ppZfk4eGhDRs26OTJk4/s+2+V/7Nnz0pSokPN9+zZ88h9k/r+zpAhg61S26lTJ927d0+///77I4+dXA8+rNi3b1+qHhcAkHIkscBTonDhwurQoYNu3LihDh066Ny5cwn6REVFac6cObZ5Xe7u7mrUqJFu3Lih6dOnO/TdunWrtm/frsKFC6tixYpPJOZy5cpJur/gkn0isG/fPq1evTpB/927dyf6R/mDpD2xBWHsNW3aVDExMZowYYKsVqut/dixY7Z5jf8ckvokffrpp5oyZYqmTJliSzofpkCBArp165b+/PNPW1tcXJzGjh2b6IcWDxZrunz5cqrGHBgYqH379qlt27aqUaOGPv74Y5UpU0bTp0//18Tkcc2aNUv79+9Xy5YtHZL+Vq1aqVq1alq7dq02bNjgsE+HDh1UpEgRrVixQhMmTFBUVFSC48bGxib6Ic6jREVF6dtvv5UkVa5c2db+6quvytXVVXPnznX4sCQ6Olrjx4+XJIdb3iS3f3LeA1mzZk32658lSxb16dNH0dHR6tSpU6IfJsXFxWnlypUaPHjwI4/1oLL8z3swr169Wlu2bEnQP6nXtm/fvkRfxwejLP7t50By+fr6qnz58lq7dq1++umnBNvj4+MVHBycqucEADwaw4mBp8hHH32kqKgozZ07Vw0bNlTVqlXl7e0tV1dXnT9/Xjt27NDNmzf10Ucf2fbp3bu3du/erW+++Ub79u1T+fLldeHCBf3888/KmDGjRo0a9a8JVkpVqFBBFStW1M6dO9WyZUv5+/vr4sWL2rhxo2rXrq1ffvnFof+IESN09epVVapUSQUKFJDFYtHevXt18OBBVahQQZUqVXrk+T744ANt2bJFP/74o06ePKnq1asrLCxM69atU1xcnIYPH55mw4ml+0NrH3VfVnvvvPOOtm/frlatWqlhw4Zyd3dXcHCwrly5oipVqiT4I7pChQrKkCGD5s2bp1u3btnm2yblfqkPs3v3bk2fPl1lypSxrQ7s7u6u8ePHq3nz5urdu7d+/PHHxxrO+jDHjx/X5MmTVbBgQfXt29dhm8Vi0ciRI/Xqq69qyJAh8vf3t12vh4eHZs+erQ8//FAzZszQ999/rxo1aih//vyKi4vT1atXtXPnTl27dk3e3t6Jxr5jxw5b0hQfH69r165p69atunz5skqVKqVWrVrZ+j733HPq1auXxowZoyZNmqhhw4bKmDGjfvvtN506dUp169bVa6+9luL+yXkPVKtWTevWrVPXrl1VunRpubi4qE6dOv862qBly5aKiIjQhAkT1KxZM1WuXFmlSpVShgwZdOXKFQUFBenKlSt68803H3mc1157TTNnztSIESO0a9cu5c+fX8ePH1dQUJAaNGiQ4AOHpF7bzJkztWvXLlWuXFkFCxaUu7u7jh49qqCgIBUqVCjR+wU/rgkTJui9997Txx9/rHnz5ql06dLKkCGDLl68qP379+v69euJrrQMAHgySGKBp4iLi4v69++vxo0ba/HixdqzZ4/27Nmj+Ph45cqVSwEBAWrevLlq1Khh28fLy0tLly7V1KlTtWnTJu3du1ceHh6qW7euunXrluAWIqlt6tSpGjNmjDZv3qwTJ06oZMmSmjZtmq5evZogie3UqZM2bNigI0eOaPv27XJ1dVWBAgXUq1cvtWrV6l/nZKZPn17z5s3TzJkz9dNPP2nu3LnKmDGjKleurE6dOiUYqmsktWvX1qRJkzR9+nStWrVKGTJkULVq1WyV3H/Kli2bJk2apMmTJ+v777+3rQqb0iT21q1bttuFTJgwQe7u7rZtxYoV04ABAzRw4EANHDhQkyZNStlFPkRMTIz69u2r2NhYjRo1SpkzZ07Qp2DBgurXr58GDRqkoUOHauLEibZtBQoU0LJly7RmzRr9/PPPCg4O1s2bN+Xq6qpcuXKpatWqeuWVV1S7du1Ev4eCgoIUFBRke54pUyYVLlxYb731lt5///0EK3u3bdtWzz33nObOnatVq1YpJiZGRYoUUb9+/dSmTZsEcyWT0z8574HPPvtMkrRz50799ttvio+PV968eZM0ZL59+/aqXbu2Fi1apJ07d+r7779XTEyMvLy8VK5cOX322Wdq0KDBI4+RN29eLVy4UF988YWCgoIUGxurMmXKaPbs2bp06VKCJDap1/b222/L09NTBw4cUHBwsKxWq/Lnz6/OnTvrvffeeyIfRBUqVEgrV67UnDlztHHjRq1YsUIuLi7KnTu3/P399fLLL6f6OQEAD2ex2o+pAwAAAADAwJgTCwAAAAAwDZJYAAAAAIBpkMQCAAAAAEyDJBYAAAAAYBoksQAAAAAA0yCJBQAAAACYBkksAAAAAMA0XJ0dwJOQsfInzg4BwBNwfceXzg4BwBOy/8xNZ4cA4AmoXiKbs0NIkYx+3Zxy3rv7Ap1yXrOhEgsAAAAAMA2SWAAAAACAaTyVw4kBAAAAIMUs1PqMjFcHAAAAAGAaVGIBAAAAwJ7F4uwI8AhUYgEAAAAApkElFgAAAADsMSfW0Hh1AAAAAACmQRILAAAAADANhhMDAAAAgD0WdjI0KrEAAAAAANOgEgsAAAAA9ljYydB4dQAAAAAApkElFgAAAADsMSfW0KjEAgAAAABMgyQWAAAAAGAaDCcGAAAAAHss7GRovDoAAAAAANOgEgsAAAAA9ljYydCoxAIAAAAATIMkFgAAAABgGgwnBgAAAAB7LOxkaLw6AAAAAADToBILAAAAAPZY2MnQqMQCAAAAAEyDSiwAAAAA2GNOrKHx6gAAAAAATIMkFgAAAABgGgwnBgAAAAB7LOxkaFRiAQAAAACmQSUWAAAAAOyxsJOh8eoAAAAAAEyDSiwAAAAA2KMSa2i8OgAAAAAA0yCJBQAAAACYBsOJAQAAAMCeC7fYMTIqsQAAAAAA06ASCwAAAAD2WNjJ0Hh1AAAAAACmQSUWAAAAAOxZmBNrZFRiAQAAAACmQRILAAAAADANhhMDAAAAgD0WdjI0Xh0AAAAAgGlQiQUAAAAAeyzsZGhUYgEAAAAApkElFgAAAADsMSfW0Hh1AAAAAACmQRILAAAAADANhhMDAAAAgD0WdjI0KrEAAAAAANOgEgsAAAAA9ljYydB4dQAAAAAApkESCwAAAAAwDYYTAwAAAIA9FnYyNCqxAAAAAADToBILAAAAAPZY2MnQeHUAAAAAAKZBJRYAAAAA7DEn1tCoxAIAAAAATIMkFgAAAABgGgwnBgAAAAB7LOxkaLw6AAAAAADToBILAAAAAPaoxBoarw4AAAAAwDSoxAIAAACAPW6xY2hUYgEAAAAApkESCwAAAAAwDYYTAwAAAIA9FnYyNF4dAAAAAIBpkMQCAAAAgD2LxTmPZNi9e7c6d+6sgIAA+fj46Ndff3XYbrVaNXHiRAUEBMjX11fvv/++Tp8+7dDn5s2b+vTTT1WxYkX5+/trwIABunPnjkOfY8eOqVWrVipXrpxq1aqlmTNnpuhLmppIYgEAAADAZCIjI+Xj46PBgwcnun3mzJlasGCBhgwZoqVLlypjxoxq3769oqKibH169eqlv/76S3PmzNG0adO0Z88eDRo0yLY9IiJC7du3V/78+bVixQr16dNHgYGBWrJkyRO/vkdhTiwAAAAA2DPBnNhatWqpVq1aiW6zWq2aP3++unTponr16kmSxo0bpxo1aujXX39Vo0aNdPLkSW3btk3Lli1TuXLlJEkDBw5Ux44d1adPH+XJk0erVq1STEyMRo0aJXd3dz3//PMKCQnRnDlz1LJlyzS71n8y/qsDAAAAAEiy8+fPKzQ0VDVq1LC1eXp6qnz58tq3b58kad++fcqSJYstgZWkGjVqyMXFRQcPHpQk7d+/X/7+/nJ3d7f1CQgI0KlTp3Tr1q00upqEqMQCAAAAgAFER0crOjraoc3d3d0hiUyK0NBQSVKOHDkc2nPkyKFr165Jkq5duyYvLy+H7a6ursqaNatt/2vXrqlgwYIOfXLmzGnbljVr1mTFlVpIYgEAAADAXjIXWUot06dPV2BgoENbt27d1L17d6fEY1QksQAAAABgAJ06dVLbtm0d2pJbhZWkXLlySZLCwsKUO3duW3tYWJhKliwp6X5F9fr16w77xcbG6tatW7b9c+bMaavcPvDg+YOKrDMwJxYAAAAA7FgsFqc83N3d5eHh4fBISRJbsGBB5cqVS0FBQba2iIgIHThwQH5+fpIkPz8/hYeH6/Dhw7Y+O3fuVHx8vHx9fSVJFSpU0J49exQTE2Prs2PHDhUtWtRpQ4klklgAAAAAMJ07d+4oJCREISEhku4v5hQSEqKLFy/KYrHo3Xff1TfffKONGzfq+PHj6tOnj3Lnzm1brbh48eKqWbOmPv/8cx08eFB79+7V8OHD1ahRI+XJk0eS9Oqrr8rNzU2fffaZ/vzzT/3000+aP39+gmpxWrNYrVarUyN4AjJW/sTZIQB4Aq7v+NLZIQB4QvafuensEAA8AdVLZHN2CCmS+Y05TjnvnWVJTw537dqld999N0F7s2bNNGbMGFmtVk2aNElLly5VeHi4KlWqpMGDB6to0aK2vjdv3tTw4cO1adMmubi4qEGDBho4cKAyZ85s63Ps2DENGzZMhw4dUvbs2fXOO++oY8eOj3ehj4kkFoBpkMQCTy+SWODpRBKbPMlJYp9lDCcGAAAAAJgGqxMDAAAAgD3n3GEHSUQlFgAAAABgGlRiAQAAAMCOxUIp1sioxAIAAAAATIMkFgAAAABgGgwnBgAAAAA7DCc2NkMksXFxcVqxYoV27typsLAwxcfHO2yfP3++kyIDAAAAABiJIZLYkSNHauXKlapVq5aef/55PvkAAAAA4DTkI8ZmiCR27dq1+vrrr1WrVi1nhwIAAAAAMDBDJLFubm567rnnnB0GAAAAAFCJNThDrE7crl07zZ8/X1ar1dmhAAAAAAAMzGmV2G7dujk837lzp7Zu3arnn39erq6OYQUGBqZlaAAAAAAAg3JaEuvp6enwvH79+k6KBM72gl8xfdymtiqWLKh8ubKqRa/ZWr3lsG37a7XLqcPrNeRXsqByZMusqq3H6+CJiw7HaNesmlq+VFEVfAoqi0cG5a09QLci7jn0OfbjQBXO7+XQ9nngGo2ft+nJXRyAR7py5YomfvmFft++Tffu3VWh5wpr6PBRKlO2nCRp4y8b9P3S7xRy9Ihu3bqp75b9oJIlSzk5agD2Nq1drk0/rdC1K/d/NxcoXEyvvd1evv41FHH7llYunKkj+3YpLPSKPLNmU8VqtfR6m07KlNnDdoy/TxzV93On6PRfx2SRRcV8SqtF2256rpi3sy4LzzpGExua05LY0aNHO+vUMJjMGd116MRFzV8VrCVftE2wPVMGd+04cErLf92vbwa2TPQYmTK465egY/ol6JiGd2v80HMNnbZOc37YaXt++07U418AgBQJv3VL77d5W5WrVFXgtJnyyp5dZ86cUZYsWW197t6NlF/FimrwUkMNGzLQidECeJjsOXPrzfe7Kk/+QpKk7b+u1cThvTVs0gJZrVbdvB6qlu17qMBzRXXt6mXNCxyjm9dD1W3AGEnSvbuRmjCop/yq1tS7XfsoPi5OKxfN0PjPe+rLeasTjNADAH4qwOk27DimDTuOPXT74nV7JUnP5cv+0D6Bi7dKkmpWLP7Ic0VERulK2O0URAkgtc2ZPVN58+bVsBH/+1CzQMFCDn0aN2kqSbpw4XxahgYgGfyq1nR4/sZ7XfTbTyv017HDqvVSE3X/bKxtW+58BdX83S6aMX6w4uJilS6dqy6dP6M7t8PV7J1OypErjyTptVYd9PmHrRV29ZItOQbSEgs7GZshktimTZsm+o1isVjk7u6uwoULq1mzZqpWrZoTosPT5NP36qhfu/o6d+WGlv68T5MWb1FcXLyzwwKeSVt+26TqLwSo1yc9tHfPbuXOnUct3mql5m+0cHZoAFIoPi5Owds3KureXZUoVTbRPncjI5QxU2alS3f/z9C8BZ6TR5as2rphlV5t8b7i4+O0dcMq5S9URDnz5EvL8AGYhCGS2Jo1a2rx4sXy9vaWr6+vJOnQoUM6fvy4mjVrppMnT6pt27aaPHmy6tWr5+RoYVZTl2zTvmPndSM8UtV8i2jYh42UN6en+n69ytmhAc+k8+fP6fsli/XOu23V4YPOOnz4kMaNHiE3Nzc1ea2Zs8MDkAznTv+lEZ92UEx0tNJnzKjuA8eqwHPFEvS7feumVi2erVovN7W1ZcyUWf1Gf6NJI/po1XezJUl58hdSr+ETbYkukNaoxBqbIX4y3LhxQ23bttWHH37o0D516lRdvHhRs2fP1qRJkzR16lSSWKTYpG+32P59+K9Lio6JU+CAN/X5lLWKjolzYmTAsyk+3qrSZcqqx0efSJJKliqtk3/+qWVLvyOJBUwmX4HCGjZ5ge7eidDu3zdp1pfD1G/sNw6J7N3ICH015BPlf66omrb+wNYeHXVPsyeO1POlfdW5z3DFx8fp5xWL9NWQTzT4qzlyT5/BGZcEwMAMcZ/YdevWqXHjhIvxNGrUSOvWrbP9+9SpU2kdGp5iu4+ckZtrugQrFgNIG7ly5VLx4o7z2IsWK6ZLly4+ZA8ARuXq5qY8+QupyPOl9Ob7H6pQ0ef1y49LbNvvRt7RhM8/UoaMmdR94FiHxZqCNm/QtasX1f6jz1XMu7RKlCynzr2HK/TyRf2xc6szLgeAwRkiiU2fPr327duXoH3fvn1Knz69JMlqtdr+DaSG8t4FFBcXr9DrEc4OBXgmlferqNOnHT+cPHPmtPLlK+CkiACkFqs1XjExMZLuV2DHf95D6dzc1HPQeLm7O/49Fx11TxaLi8PwTYuLRRaLRVarNU3jBh6wWCxOeSBpDDGc+J133tHgwYN1+PBhlSt3/96Ahw4d0rJly9SpUydJ0vbt21WqFPcGfBplzuiu4oVy2p4Xye8lX+/8unErUueu3FT2LJlUKG825ct5/7Yb3oVzS5KuhN22rTScJ4en8uTwtB2nbIl8uh0ZpXOXb+pGeKSqliusymULa8uev3Q78p6qlSuisR+/psXr9urm7btpfMUAJOmdNu/p/TZva9aMaWrwckMdPnRQy5ct1eeDh9n63Lp1U5cuXVLo1auSpDP/PyInZ86cypkzl1PiBuDo+7lT5OtfQ1658uje3Ujt3Lxexw79oU+HT9TdyAh9MbCHoqOi1KnXUN2NvKO7kXckSVmyZpNLunQq41dFS2ZP1oKpX6jeq2/KarVqzffz5JIunUr5VnLy1QEwIovVIB9xrVq1SosWLbINGS5atKjeeecdvfrqq5Kke/fuyWKxJKkam7HyJ080VqSumhWLa8P0DxO0L1gTrI5Dv9M7jStr5uC3E2wfMWO9Rs5cL0n67IOXNLDjSwn6fDB0sRau2a0KPgU0se8b8i6SW+ndXHX6Ypi+XbdXkxZtZj6siVzf8aWzQ0Aq27r5N02a+KXOnjmtAgUK6p332jqsTvzjDys0eGD/BPt16tJNXT7snpah4gnbf+ams0NACv336xE6emCPbl2/poyZPVSoSAm98mYblfWrqpCDezW2f9dE9/ti9krlypNfknR43y79+O0snT/zt1wsLnquuLeav9tZJUqWS8tLwRNQvUQ2Z4eQIjneXeyU84bNT/g3LxIyTBKbmkhigacTSSzw9CKJBZ5OJLHJQxKbNIYYTgwAAAAAhsH0VENzWhJbpUoV/fzzz/Ly8lLlypUfOZE5ODg4DSMDAAAAABiV05LY/v37y8PDw/ZvVuMCAAAAAPwbpyWxzZo1U0REhKKjo9WgQQNnhQEAAAAADiiwGZtT58T6+/sn6RskJCQkDaIBAAAAABidU5PY+fPn2/5ttVrVsWNHjRgxQnny5HFiVAAAAACeZVRijc2pSWyVKlUcnru4uKhChQoqVKiQkyICAAAAABgZt9gBAAAAADtUYo3NxdkBAAAAAACQVCSxAAAAAADTcOpw4m7dujk8j46O1pAhQ5QxY0aH9sDAwLQMCwAAAMCzjNHEhubUJNbT09PheZMmTZwUCQAAAADADJyaxI4ePdqZpwcAAACABFjYydiYEwsAAAAAMA2SWAAAAACAaXCfWAAAAACww3BiY6MSCwAAAAAwDSqxAAAAAGCHSqyxUYkFAAAAAJgGlVgAAAAAsEMl1tioxAIAAAAATIMkFgAAAABgGgwnBgAAAAB7jCY2NCqxAAAAAADToBILAAAAAHZY2MnYqMQCAAAAAEyDSiwAAAAA2KESa2xUYgEAAAAApkESCwAAAAAwDYYTAwAAAIAdhhMbG5VYAAAAAIBpUIkFAAAAAHsUYg2NSiwAAAAAwDSoxAIAAACAHebEGhuVWAAAAACAaZDEAgAAAABMg+HEAAAAAGCH4cTGRiUWAAAAAGAaVGIBAAAAwA6VWGOjEgsAAAAAMA0qsQAAAABgh0qssVGJBQAAAACYBkksAAAAAMA0GE4MAAAAAPYYTWxoVGIBAAAAAKZBJRYAAAAA7LCwk7FRiQUAAAAAmAZJLAAAAADANBhODAAAAAB2GE5sbFRiAQAAAACmQSUWAAAAAOxQiDU2KrEAAAAAANOgEgsAAAAAdpgTa2xUYgEAAAAApkESCwAAAAAwDYYTAwAAAIAdRhMbG5VYAAAAAIBpUIkFAAAAADss7GRsVGIBAAAAAKZBJRYAAAAA7FCINTYqsQAAAAAA0yCJBQAAAACYBsOJAQAAAMCOiwvjiY2MSiwAAAAAwDSoxAIAAACAHRZ2MjYqsQAAAAAA06ASCwAAAAB2LJRiDY1KLAAAAADANEhiAQAAAACmwXBiAAAAALDDaGJjoxILAAAAADANKrEAAAAAYIeFnYyNSiwAAAAAwDSoxAIAAACAHSqxxkYlFgAAAABgGiSxAAAAAADTYDgxAAAAANhhNLGxUYkFAAAAAJOJi4vT119/rTp16sjX11f16tXTlClTZLVabX2sVqsmTpyogIAA+fr66v3339fp06cdjnPz5k19+umnqlixovz9/TVgwADduXMnja8meUhiAQAAAMCOxWJxyiM5Zs6cqcWLF2vQoEH66aef1KtXL82aNUsLFixw6LNgwQINGTJES5cuVcaMGdW+fXtFRUXZ+vTq1Ut//fWX5syZo2nTpmnPnj0aNGhQqn0tnwSSWAAAAAAwmX379qlu3bp68cUXVbBgQb388ssKCAjQwYMHJd2vws6fP19dunRRvXr1VLJkSY0bN05Xr17Vr7/+Kkk6efKktm3bphEjRqh8+fLy9/fXwIEDtXbtWl25csWZl/dIJLEAAAAAYADR0dGKiIhweERHRyfa18/PTzt37tSpU6ckSceOHdPevXv1n//8R5J0/vx5hYaGqkaNGrZ9PD09Vb58ee3bt0/S/UQ4S5YsKleunK1PjRo15OLiYkuGjYiFnQAAAADAjrMWdpo+fboCAwMd2rp166bu3bsn6NuxY0dFRESoYcOGSpcuneLi4vTxxx+rSZMmkqTQ0FBJUo4cORz2y5Ejh65duyZJunbtmry8vBy2u7q6KmvWrLb9jYgkFgAAAAAMoFOnTmrbtq1Dm7u7e6J9161bp9WrV2vChAkqUaKEQkJCNHr0aOXOnVvNmjVLi3CdhiQWAAAAAOwkd5Gl1OLu7v7QpPWfxo0bp44dO6pRo0aSJB8fH128eFHTp09Xs2bNlCtXLklSWFiYcufObdsvLCxMJUuWlCTlzJlT169fdzhubGysbt26ZdvfiJgTCwAAAAAmc+/evQTJdrp06Wy32ClYsKBy5cqloKAg2/aIiAgdOHBAfn5+ku7Pqw0PD9fhw4dtfXbu3Kn4+Hj5+vqmwVWkDJVYAAAAALDjrDmxyVG7dm1NmzZN+fPntw0nnjNnjpo3by7pfjX53Xff1TfffKPChQurYMGCmjhxonLnzq169epJkooXL66aNWvq888/19ChQxUTE6Phw4erUaNGypMnjzMv75FIYgEAAADAZAYOHKiJEydq6NChtiHDLVu21Icffmjr88EHH+ju3bsaNGiQwsPDValSJc2aNUvp06e39Rk/fryGDx+u9957Ty4uLmrQoIEGDhzojEtKMov1Qb35KZKx8ifODgHAE3B9x5fODgHAE7L/zE1nhwDgCaheIpuzQ0gR/xG/OeW8ewbWdsp5zYZKLAAAAADYcdbCTkgaFnYCAAAAAJgGlVgAAAAAsEMh1tioxAIAAAAATINKLAAAAADYYU6ssVGJBQAAAACYBkksAAAAAMA0nsrhxDeCuJck8DTKXrmbs0MA8IRsWT7S2SEAgA2jiY2NSiwAAAAAwDSeykosAAAAAKQUCzsZG5VYAAAAAIBpUIkFAAAAADsUYo2NSiwAAAAAwDRIYgEAAAAApsFwYgAAAACww8JOxkYlFgAAAABgGlRiAQAAAMAOhVhjoxILAAAAADANKrEAAAAAYIc5scZGJRYAAAAAYBoksQAAAAAA02A4MQAAAADYYTixsVGJBQAAAACYBpVYAAAAALBDIdbYqMQCAAAAAEyDJBYAAAAAYBoMJwYAAAAAOyzsZGxUYgEAAAAApkElFgAAAADsUIg1NiqxAAAAAADToBILAAAAAHaYE2tsVGIBAAAAAKZBEgsAAAAAMA2GEwMAAACAHUYTGxuVWAAAAACAaVCJBQAAAAA7LpRiDY1KLAAAAADANKjEAgAAAIAdCrHGRiUWAAAAAGAaJLEAAAAAANNgODEAAAAA2LEwntjQqMQCAAAAAEyDSiwAAAAA2HGhEGtoVGIBAAAAAKZBJRYAAAAA7DAn1tioxAIAAAAATIMkFgAAAABgGgwnBgAAAAA7jCY2NiqxAAAAAADToBILAAAAAHYsohRrZFRiAQAAAACmQSUWAAAAAOy4UIg1NCqxAAAAAADTIIkFAAAAAJgGw4kBAAAAwI6Fe+wYGpVYAAAAAIBpUIkFAAAAADsUYo2NSiwAAAAAwDRIYgEAAAAApsFwYgAAAACw48J4YkOjEgsAAAAAMA0qsQAAAABgh0KssVGJBQAAAACYBpVYAAAAALBjoRRraFRiAQAAAACmQRILAAAAADANhhMDAAAAgB1GExsblVgAAAAAgGlQiQUAAAAAOy6UYg2NSiwAAAAAwDSoxAIAAACAHeqwxkYlFgAAAABgGiSxAAAAAADTYDgxAAAAANixsLCToSUpiT127FiSD1iyZMkUBwMAAAAAwKMkKYlt2rSpLBaLrFZrotsfbLNYLAoJCUnVAAEAAAAgLblQiDW0JCWxGzdufNJxAAAAAADwr5KUxBYoUOBJxwEAAAAAhsCcWGNL0erEP/zwg9566y0FBATowoULkqS5c+fq119/TdXgAAAAAACwl+wk9ttvv9WYMWNUq1Yt3b59W/Hx8ZKkLFmyaN68eakeIAAAAAAADyQ7iV24cKFGjBihLl26yMXlf7uXLVtWJ06cSNXgAAAAACCtWSzOeSBpkp3Enj9/XqVKlUrQ7u7urrt376ZKUAAAAAAAJCZJCzvZK1iwoEJCQhIs9rRt2zYVL1481QIDAAAAAGdgYSdjS3YS27ZtWw0bNkzR0dGSpIMHD2rNmjWaMWOGRowYkeoBAgAAAADwQLKT2DfffFPp06fX119/rbt37+rTTz9V7ty5NWDAADVq1OhJxAgAAAAAacaFQqyhJTuJlaQmTZqoSZMmunv3riIjI5UjR47UjgsAAAAAgARSlMRKUlhYmE6dOiXp/phxLy+vVAsKAAAAAIDEJDuJjYiI0NChQ7V27VrbPWLTpUunhg0bavDgwfL09Ez1IAEAAAAgrbCwk7El+xY7AwcO1MGDBzV9+nTt2bNHe/bs0bRp03T48GENGjToScQIAAAAAICkFFRiN2/erFmzZsnf39/WVrNmTY0YMUIdOnRI1eAAAAAAIK1RhzW2ZFdis2XLluiQYQ8PD2XJkiVVggIAAAAAmF/dunV148aNBO3h4eGqW7duio6Z7CS2S5cuGjNmjEJDQ21toaGh+uKLL9S1a9cUBQEAAAAAePpcuHDBtpaSvejoaF25ciVFx0zScOKmTZs6TG4+ffq0ateurXz58kmSLl26JDc3N12/fl1vvfVWigIBAAAAACNwYWGnx7Zx40bbv7dt2+Ywmjc+Pl5BQUEqUKBAio6dpCS2Xr16KTo4AAAAAODZ8+GHH0q6v9Jzv379HLa5urqqQIECCdqTKklJbLdu3VJ0cAAAAAAwGwqxj+/YsWOSpDp16mjZsmXy8vJKtWMne3ViAAAAAACSYtOmTal+zGQnsXFxcZo7d67WrVunS5cuKSYmxmF7cHBwqgUHAAAAAGnNQik2VQUFBSkoKEhhYWEJFnkaPXp0so+X7NWJAwMDNWfOHL3yyiu6ffu23n//fdWvX18Wi4VhxwAAAAAAm8DAQLVr105BQUG6ceOGwsPDHR4pkexK7OrVqzVixAi9+OKLmjx5sho3bqznnntOPj4+OnDgQIqC6NOnj6pWrarKlSvrueeeS9ExAAAAAADG8t1332n06NFq2rRpqh0z2ZXYa9euydvbW5KUOXNm3b59W5JUu3Ztbd68OUVBuLm5acaMGWrQoIFq1aqlXr166fvvv9fp06dTdDwAAAAASCmLxTmPp1FMTIwqVqyYqsdMdhKbJ08ehYaGSpIKFSqk33//XZJ06NAhubu7pyiIkSNHav369dqyZYt69+6tTJkyafbs2WrYsKH+85//pOiYAAAAAPA0u3Llinr16qWqVavK19dXr776qg4dOmTbbrVaNXHiRAUEBMjX11fvv/9+gkLhzZs39emnn6pixYry9/fXgAEDdOfOnVSL8Y033tDq1atT7XhSCoYT169fX0FBQSpfvrzatGmj3r17a9myZbp48aLef//9xwomS5YsypYtm7JmzaosWbIoXbp0qboUMwAAAAD8GxcTlEVv3bqlt99+W1WrVtXMmTOVPXt2nTlzRlmzZrX1mTlzphYsWKAxY8aoYMGCmjhxotq3b6+ffvpJ6dOnlyT16tVLoaGhmjNnjmJiYjRgwAANGjRIEyZMSJU4o6KitHTpUgUFBcnHx0euro4paP/+/ZN9zGQnsb169bL9+5VXXlH+/Pm1b98+FS5cWHXq1El2AJL05ZdfKjg4WEePHlXx4sVVuXJlffDBB6pcubLDi4Bn0zdTJmva1ECHtiJFi+rHNT87tFmtVn3Y+QP9vn2bvpo0RXXq1kvLMAH8wwsVi+vjd+upYunnlC9XVrX4eIZWbz5o2/5anfLq8EaA/Eo9pxzZMqtqy9E6eOKCwzEmf/aW6lT1Ub5cWRVxN0o7D5zSwIk/6sTpK7Y+d/c5/nyQpHf7zdH36/c+uYsDYPPrmmXatHaFQq9ckiQVLFxUTVt1UPnKNSRJ0dFR+nbmRO3askExMTEqV6ma3v+wj7Jmz2E7xpF9wVq2YLrOnz6p9BkyKKBuI735fhelS8fdIIGHmTlzpvLmzeuwum+hQoVs/7ZarZo/f766dOmievXu/108btw41ahRQ7/++qsaNWqkkydPatu2bVq2bJnKlSsnSRo4cKA6duyoPn36KE+ePI8d5/Hjx1WyZElJ0okTJxy2pXQV6Mf+yVChQgVVqFBBYWFhmjZtmjp37pzsY8yYMUNeXl7q1q2b6tevr6JFiz5uWHjKFC/xvGbMmmN7ns41XYI+C+fPYzl0wEAyZ0yvQycuaP6PQVryZccE2zNldNeO/Se1/Jc/9M2g1okeY1/IOX23brfOXbohr6yZ9FnnRloz9UOVbDxY8fFWW78PBi3QLzuO2p7fvH039S8IQKK8cuZRi7YfKm+BQrJardr+61p9NayXRgQuUMHCxbVo+lc6sPt3dRswWpkye2j+1C80cURfDZowS5J05u8TGj/oYzV5q6069xqi69dCNTdwjOLj49Xqg55Ovjo8q8zwJ+WmTZsUEBCgHj16aPfu3cqTJ49atWqlFi1aSJLOnz+v0NBQ1ahRw7aPp6enypcvr3379qlRo0bat2+fsmTJYktgJalGjRpycXHRwYMHVb9+/ceOc8GCBY99jH9KtY+3QkNDNXHixBQlsT/88IOCg4MVHBys2bNny83NTVWqVLE9SGrhmi6dcubK9dDtx0JCNH/ebC1eslx1XwxIw8gAPMyG349qw+9HH7p98drdkqTn8j182sjsFb/b/n320nUNnbJau5cOUOH8OXTq/DXbtlu37+pK2O1UiBpAclWsVtPh+Zvvd9XGtSv017HD8sqZR1s2rFLXPsNVpkJlSdIHnwxS344t9FfIIZUoVU67tv6qQkVLqFnrDpKkPPkLqWW77gocPUDNWndQxkyZ0/yaAGeJjo5WdHS0Q5u7u3uiaw+dO3dOixcvVtu2bdW5c2cdOnRII0aMkJubm5o1a2ZbxyhHjhwO++XIkUPXrt3/HXrt2rUE0zddXV2VNWtW2/5GZIgxGiVLllTJkiX17rvvSpKOHTumuXPnatiwYYqPj1dISIiTI4SznTl7RvVeDJB7+vQqX76Cenz0qfLlzy9Junv3rvr3+VQDBg56ZKILwNwyZXDXu02q6dT5azp/+YbDtq/7t9DUQa10+sI1zVy2XfN/3OmkKIFnW3xcnHZt26ioe3f1fMlyOvVniOJiY1XGr4qtT/5CRZQjd179eex+EhsbEy23f/yB7p4+vWKio3T6r2Mq5VsprS8DcJrp06crMNBxmky3bt3UvXv3BH2tVqvKli2rTz75RJJUunRp/fnnn/ruu+/UrFmzNIk3Kdq0afPI0ZLz589P9jENkcRarVYdPXpUwcHB2rVrl/744w9FRETIx8dHlStXdnZ4cLJyvr4aPnK0ihQpqtDQUE3/Zoravttay39crcyZPfTF2NEq7+en2nWYAws8jTq+WVMjP2oqj0zpdfzUZTXqEqiY2Djb9qFT12hL8AlF3otWveolNbF/S3lkSq+pi7c4MWrg2XLu1F8a+kl7xURHK0PGjOr5+TgVKFxMZ/4+IVdXN2X28HTonzWbl25dD5MklatYTT//8J2CNq9X1Zr1dPNGmH749v5Q45vXryU4F5AWnDVFrVOnTmrbtq1D28PuAJMrVy4VL17coa1YsWJav369bbskhYWFKXfu3LY+YWFhtjmqOXPm1PXr1x2OERsbq1u3btn2f1ylSpVKcPyQkBD9+eefKb53rCGS2CpVqigyMlI+Pj6qUqWKWrRoIX9/f2XJksXZocEAAmrWsv3b26ekyvmWV8P6tbX+53Xyyu6l3bt2asmylU6MEMCT9N263dq465jy5syij96tp4Vj26lO2y8VFR0rSRoz83+LvB04fl6ZMqbXx+/WI4kF0lC+goU1cspCRd6JUPD2TZoxYag+GzctSfuWq1RNb7fvrjmTx2jaF0Pk6uampq3a6/jh/bJYkn03SMDUHjZ0ODEVK1bUqVOnHNpOnz6tAgUKSJIKFiyoXLlyKSgoyJZIRkRE6MCBA3r77bclSX5+fgoPD9fhw4dVtmxZSdLOnTsVHx8vX1/fVLmmAQMGJNo+efJkRUZGpuiYSU5i7Ve9Ssw/M/jk+OKLL+Tv7y8PD48UHwPPjixZsqhw4SI6d/as/jpxQufOnVVAdceK/acfdVfFSv7679zUn0gOIG2FR9xTeMQ9nTwbquCDp3Vp6zi9Vqe8lv6c+OrDuw+d1oCODeXu5qromNg0jhZ4Nrm6uSlP/vurohZ9vpROnTiq9T8uUdX/1FNsbIzuRNx2qMbeunldWb3+N0+v4eut9XKzVrp5/Zoye3gq9MolLZ0zRbnzFkjzawEkyQwfn7z33nt6++23NW3aNDVs2FAHDx7U0qVLNWzYMEn3q8nvvvuuvvnmGxUuXNh2i53cuXPbVisuXry4atasqc8//1xDhw5VTEyMhg8frkaNGqXKysSP0qRJE7355pvq27dvsvdNchJ79OjDF+d4wN/fP9kBSNKLL75o+/fly5clSXnz5k3RsfD0i7xzR+fOnVOjJrn00ksN1eyNNx22v9H0VfXq21+1XqztpAgBPCkWi0UWWeTu9vBfX74+BXX91h0SWMCJ4q3xiomJVtHnSymdq6uO7t+tygH3b8V46fwZhV29rOdLlnPYx2KxKHuO+8MXd27eoBy58qhICZ80jx0wC19fXwUGBurLL7/UlClTVLBgQQ0YMEBNmjSx9fnggw909+5dDRo0SOHh4apUqZJmzZplu0esJI0fP17Dhw/Xe++9JxcXFzVo0EADBw584vHv27cvyVXnf0pyEvsklkZ+ID4+XlOnTtWcOXNsJeXMmTOrbdu26tKli1xczPBZCJ6UCV+MVa0Xaytf/vwKvXpV30yZrHTpXNTwlcby8vJKdDGnfPnyq2DBQokcDUBayZzRXcUL/e/9WaRADvl6F9CN8Eidu3xD2bNkUqG82ZUv9/37gXsXuf+J75WwcF0Ju60iBXLojZcqaWNQiK7diFCBPNn0adsGuhsVo/Xbj0iSXvlPWeXO4angg6d1LzpGdauVVJ/2DfT1/I1pf8HAM2rJnCkq719dOXLn1b3ISO3YvF7HDv6h3iMmKVNmD9Vq0ESLZn6tzJ5ZlDFTZs3/ZrxKlCqnEqX+l8SuXbZAvpWqy+Ji0Z7fN2v19/PUrf8ouaRLeEs9IC2Y5baNtWvXVu3aDy/cWCwW9ezZUz17Pvx2VdmyZdOECROeRHiS7i9MZc9qtSo0NFSHDx9W165dU3RMQ8yJ/eqrr7Rs2TJ9+umnqlixoiRp7969CgwMVHR0tD7++GMnRwhnunLlsvr1/kQ3b95Udi8v+VWspAXfLk2wHDgAY6lYurA2zPrfL81xvZpLkhas2qmOgxeqUa1ymjmsjW37grHtJEkjpv2kkdN/UlR0rF7wK65urV5U9iyZdDXstrb/8Zdqvz9BoTciJEkxsXHq1OI/Gvdpc1ksFp08F6q+E1Zo9oodaXilwLMt/OZ1TR8/VDevX1PGzB56rmgJ9R4xSeUqVpUkte70sSwuLpo0op9iYqLlW6ma3vuwj8MxDuzZoVXfzVFMTIyeK/q8Ph40XuUr10jsdABMxtPTcWE3i8WiokWLqkePHgoISNmtMS1Wq9X6792erICAAA0dOlR169Z1aP/11181dOhQbdu2LVnHu8cIMuCplL1yt3/vBMCUtiwf6ewQADwBVYpldXYIKdLjh2NOOe+kpiWdcl6zMUQl9tatWypWrFiC9mLFiunWrVtOiAgAAADAs8rFHKOJTeXw4cM6efKkJOn5559X6dKlU3wsQySxJUuW1KJFixJMIF60aJF8fJjQDwAAAABmFBYWpo8//ljBwcG2W6iGh4eratWq+uqrr1I0RdAQSWzv3r3VqVMn7dixQxUqVJAk7d+/X5cuXdLMmTOdGxwAAACAZwqV2NQzfPhw3blzR2vXrlXx4sUlSX/99Zf69u2rESNG6Msvv0z2MVO07O+ePXvUq1cvtWzZUleuXJEk/fDDD9qzZ09KDqcqVaro559/Vv369XX79m3dvn1b9evX19q1a/Xjjz+m6JgAAAAAAOfatm2bBg8ebEtgJalEiRIaPHiwtm7dmqJjJrsSu379evXp00evvvqqjh49qujoaElSRESEpk+fnuJ7xebJkyfBKsTHjh3TsmXLNHz48BQdEwAAAACSyyy32DGD+Ph4ubm5JWh3dXVVfHx8io6Z7ErsN998o6FDh2rEiBFydf1fDlyxYkUdPXo0RUEAAAAAAJ4+1apV08iRI20jeCXpypUrGj16tKpXr56iYya7Envq1KlEq62enp4KDw9PURAAAAAAgKfPoEGD1KVLF9WtW1d58+aVJF2+fFnPP/+8vvjiixQdM9lJbM6cOXX27FkVLFjQoX3v3r0qVKhQioIAAAAAAKNgYafUky9fPq1cuVI7duzQ33//LUkqXry4atSokeJjJjuJbdGihUaOHKlRo0bJYrHoypUr2rdvn8aOHauuXbsm61jdunV75HYquwAAAABgPkFBQRo+fLiWLl0qDw8PvfDCC3rhhRckSbdv31ajRo00dOjQFK2plOwktmPHjoqPj9f777+vu3fv6p133pG7u7vatWunNm3aJOtYnp6e/7q9QIECyQ0RAAAAAFKMdZ0e37x589SiRQt5eHgk2Obp6amWLVtqzpw5aZPEWiwWdenSRe3bt9fZs2cVGRmp4sWLK3PmzMk++ejRo5O9DwAAAADA2I4fP67evXs/dPsLL7yg2bNnp+jYyU5iH3B3d1eJEiVSujsAAAAA4Cl17do1h7vZ/JOrq6uuX7+eomMnO4lt06bNI++bNH/+/BQFAgAAAABG4MJ44seWJ08e/fnnnypcuHCi248fP65cuXKl6NjJTmJLlSrl8Dw2NlYhISH6888/1bRp0xQFAQAAAAB4etSqVUsTJ05UzZo1lT59eodt9+7d0+TJk1W7du0UHTvZSeyAAQMSbZ88ebIiIyNTFAQAAAAAGIWLswN4CnTp0kUbNmzQSy+9pNatW6to0aKSpL///lvffvut4uLi1Llz5xQdO8VzYv+pSZMmevPNN9W3b9/UOiQAAAAAwIRy5syp7777TkOGDNGXX34pq9Uq6f5CwQEBARo0aJBy5syZomOnWhK7b98+ubu7p9bhAAAAAMApmBKbOgoUKKCZM2fq1q1bOnPmjCSpcOHCypo162MdN9lJbLdu3RyeW61WhYaG6vDhw+ratetjBQMAAAAAeLpkzZpVvr6+qXa8ZCexnp6eDs8tFouKFi2qHj16KCAgINUCAwAAAADgn5KVxMbFxen111+Xt7f3Y5eAAQAAAMCIuMWOsSVr4a106dKpXbt2Cg8Pf1LxAAAAAADwUMlePfr555/X+fPnn0QsAAAAAOB0FotzHkiaZCexH330kcaOHavffvtNV69eVUREhMMDAAAAAIAnJclzYgMDA9WuXTt17NhR0v2b11rsPi6wWq2yWCwKCQlJ/SgBAAAAII24UBU1tCQnsVOmTNHbb7+t+fPnP8l4AAAAAAB4qCQnsVarVZJUpUqVJxYMAAAAAACPkqxb7FiYbQwAAADgKcctdowtWUnsSy+99K+JbHBw8GMFBAAAAADAwyQrie3evbs8PT2fVCwAAAAA4HQUYo0tWUlso0aNlCNHjicVCwAAAAAAj5TkJJb5sAAAAACeBdxix9hcktrxwerEAAAAAAA4S5IrsceOHXuScQAAAAAA8K+SNScWAAAAAJ52FjGe2MiSPJwYAAAAAABnoxILAAAAAHZY2MnYqMQCAAAAAEyDSiwAAAAA2KESa2xUYgEAAAAApkESCwAAAAAwDYYTAwAAAIAdi4XxxEZGJRYAAAAAYBpUYgEAAADADgs7GRuVWAAAAACAaZDEAgAAAABMg+HEAAAAAGCHdZ2MjUosAAAAAMA0qMQCAAAAgB0XSrGGRiUWAAAAAGAaVGIBAAAAwA632DE2KrEAAAAAANMgiQUAAAAAmAbDiQEAAADADus6GRuVWAAAAACAaVCJBQAAAAA7LqIUa2RUYgEAAAAApkElFgAAAADsMCfW2KjEAgAAAABMgyQWAAAAAGAaDCcGAAAAADsuDCc2NCqxAAAAAADToBILAAAAAHZcWNnJ0KjEAgAAAABMg0osAAAAANihEGtsVGIBAAAAAKZBEgsAAAAAMA2GEwMAAACAHRZ2MjYqsQAAAAAA06ASCwAAAAB2KMQaG5VYAAAAAIBpUIkFAAAAADtU+oyN1wcAAAAAYBoksQAAAAAA02A4MQAAAADYsbCyk6FRiQUAAAAAmAaVWAAAAACwQx3W2KjEAgAAAABMgyQWAAAAAGAaDCcGAAAAADsuLOxkaFRiAQAAAACmQSUWAAAAAOxQhzU2KrEAAAAAANOgEgsAAAAAdpgSa2xUYgEAAAAApkESCwAAAAAwDYYTAwAAAIAdC+OJDY1KLAAAAADANKjEAgAAAIAdKn3GxusDAAAAADANKrEAAAAAYIc5scZGJRYAAAAAYBoksQAAAAAA02A4MQAAAADYYTCxsVGJBQAAAACYBpVYAAAAALDDwk7GRiUWAAAAAGAaT2Ul9tC5W84OAcATsG3FKGeHAOAJqf/5ameHAOAJuLGwtbNDSBEqfcbG6wMAAAAAMA2SWAAAAACAaZDEAgAAAIAdi8XilMfjmDFjhnx8fDRy5EhbW1RUlIYOHaqqVavKz89P3bt317Vr1xz2u3jxojp27Kjy5curevXqGjt2rGJjYx8rlieNJBYAAAAATOzgwYP67rvv5OPj49A+atQo/fbbb/r666+1YMECXb16Vd26dbNtj4uLU6dOnRQTE6PvvvtOY8aM0cqVKzVp0qS0voRkIYkFAAAAADsWJz1S4s6dO+rdu7dGjBihrFmz2tpv376t5cuXq1+/fqpevbrKli2rUaNGad++fdq/f78kafv27frrr7/0xRdfqFSpUqpVq5Z69uypRYsWKTo6OoURPXkksQAAAABgUsOGDVOtWrVUo0YNh/bDhw8rJibGob148eLKnz+/LYndv3+/vL29lTNnTlufgIAARURE6K+//kqT+FPiqbzFDgAAAACk1GNOT02x6OjoBBVQd3d3ubu7J9p/7dq1Onr0qJYtW5Zg27Vr1+Tm5qYsWbI4tOfIkUOhoaG2PvYJrCTb8wd9jIgkFgAAAAAMYPr06QoMDHRo69atm7p3756g76VLlzRy5EjNnj1b6dOnT6sQDYEkFgAAAAAMoFOnTmrbtq1D28OqsEeOHFFYWJhef/11W1tcXJx2796tRYsW6b///a9iYmIUHh7uUI0NCwtTrly5JN2vuh48eNDhuA9WL37Qx4hIYgEAAADAjkuKl1l6PI8aOvxP1apV0+rVqx3a+vfvr2LFiumDDz5Qvnz55ObmpqCgIL300kuSpL///lsXL15UhQoVJEkVKlTQtGnTFBYWphw5ckiSduzYIQ8PD5UoUSL1LiyVkcQCAAAAgMl4eHjI29vboS1TpkzKli2brb158+YaM2aMsmbNKg8PD40YMUJ+fn62JDYgIEAlSpRQnz591Lt3b4WGhurrr79W69atk5xMOwNJLAAAAADYcdbCTqltwIABcnFxUY8ePRQdHa2AgAANHjzYtj1dunSaNm2ahgwZopYtWypjxoxq1qyZevTo4cSo/53FarVanR1Eatt96pazQwDwBFicNLQHwJNX//PV/94JgOncWNja2SGkyJrDV5xy3sZl8zjlvGbDfWIBAAAAAKbBcGIAAAAAsMPoL2OjEgsAAAAAMA0qsQAAAABg52lZ2OlpRSUWAAAAAGAaVGIBAAAAwI4Lc2INjUosAAAAAMA0SGIBAAAAAKbBcGIAAAAAsMPCTsZGJRYAAAAAYBpUYgEAAADADpVYY6MSCwAAAAAwDSqxAAAAAGDHwi12DI1KLAAAAADANEhiAQAAAACmwXBiAAAAALDjwmhiQ6MSCwAAAAAwDSqxAAAAAGCHhZ2MjUosAAAAAMA0qMQCAAAAgB0LhVhDoxILAAAAADANklgAAAAAgGkwnBgAAAAA7LCwk7FRiQUAAAAAmAaVWAAAAACw40Ih1tCoxAIAAAAATINKLAAAAADYYU6ssVGJBQAAAACYBkksAAAAAMA0GE4MAAAAAHYsjCY2NCqxAAAAAADToBILAAAAAHYoxBoblVgAAAAAgGmQxAIAAAAATIPhxAAAAABgx4WVnQyNSiwAAAAAwDSoxAIAAACAHeqwxkYlFgAAAABgGlRiAQAAAMAepVhDoxILAAAAADANklgAAAAAgGkwnBgAAAAA7FgYT2xoVGIBAAAAAKZBJRYAAAAA7FgoxBoalVgAAAAAgGlQiQUAAAAAOxRijY1KLAAAAADANEhiAQAAAACmwXBiAAAAALDHeGJDoxILAAAAADANKrEAAAAAYMdCKdbQqMQCAAAAAEyDSiwAAAAA2LFQiDU0KrEAAAAAANMgiQUAAAAAmAbDiQEAAADADqOJjY1KLAAAAADANKjEAgAAAIA9SrGGRiUWAAAAAGAaVGIBAAAAwI6FUqyhUYkFAAAAAJgGSSwAAAAAwDQMM5w4KipKx48fV1hYmOLj4x221a1b10lRAQAAAHjWWBhNbGiGSGK3bt2qvn376saNGwm2WSwWhYSEOCEqAAAAAIDRGCKJHTFihF5++WV9+OGHypkzp7PDAQAAAPAMoxBrbIaYE3vt2jW1bduWBBYAAAAA8EiGSGJfeukl7dq1y9lhAAAAAAAMzhDDiQcNGqSePXtq79698vb2lqurY1jvvvuukyIDAAAA8MxhPLGhGSKJXbNmjX7//Xe5u7srODjYYZvFYiGJBQAAAABIMkgS+/XXX6t79+7q2LGjXFwMMcIZAAAAwDPKQinW0AyRMcbExOiVV14hgQUAAAAAPJIhssamTZvqp59+cnYYAAAAACCLxTkPJI0hhhPHx8dr1qxZ2r59u3x8fBIs7NS/f38nRQYAAAAAMBJDJLHHjx9XqVKlJEknTpxw2GbhIwkAAAAAwP8zRBK7YMECZ4cAAAAAAJK4w47RGWJOLAAAAAAASWGISmybNm0eOWx4/vz5aRgNAAAAgGcapVhDM0QS+2A+7AOxsbEKCQnRn3/+qaZNmzonKAAAAACA4RgiiR0wYECi7ZMnT1ZkZGQaRwMAAADgWWahFGtohp4T26RJEy1fvtzZYQAAAAAADMIQldiH2bdvn9zd3Z0dBtLYqu/mavfvv+nS+TNyd0+v50uXU8t23ZW/UGFbnysXz+vbWRN14sgBxcTEyLdSNb3XtZeyZs9h63Pqz2NaMjtQf584KhcXF1UOqKPWHT9ShoyZnHFZwDPvx+/maM/vv+mi7b3tq7fadVP+QkVsfR68t48f2a+YmBiVr1Td4b199MBejezbOdHjD5s4V8V9yqTFpQD4B48MrhrwRnk19i+knFnS69DpG+q3cI/2/X1dkjSlYzW1+k9xh31+PXhRb477zfb8wFev6blcHg59hi7Zp69XH33yFwDAVCxWq9Xq7CC6devm8NxqtSo0NFSHDx9W165dE2z/N7tP3UrN8JDGxn7WQ9VrNVAx71KKi4/T0jnf6PyZkxo7Y4kyZMioe/fuakCXVnqu6PNq3qajJGnZ/Gm6EXZNQ76eLRcXF90IC1W/Tm+rWq16eqnp27obeUcLp3+pbF451XPgGCdfIVKKoT3mNvaz7qpWq4GKe5f+//f2VJ07c1LjZiy1vbf7d3n7/9/bnSQ9eG+HaujXc+Ti4qLYmBhF3Hb8Gf/9/Gk6sn+3vprzA/cWN7H6n692dgh4DP/tFqBSBbOq15zdunQzUi1eKKquL5dUtb5rdOnGXU3pWE25s2bUhzOCbPtExcTrVmS07fmBr17Tgi0nNf+3v2xtEfdiFBkVl6bXgtR1Y2FrZ4eQIkcv3nHKeUvnz+yU85qNISqxnp6eDs8tFouKFi2qHj16KCAgwElRwVn6jpzk8LzTp4PU9a2XdPrPEJUsV1F/Hjmg0CuXNCJwgTJlvv+JbadeQ9Tpjbo6un+Pylason27tiudq6ve+7CPXFzuj5pv172f+ndppcsXzylv/kJpfl3As67vyMkOzzt9Olhd3mqgU3+GqFS5ijrx/+/tkYELbe/tzr2GqOMbdXR0/26VrVhVrm5uyuaV03aM2NhY/RG0VQ2atCCBBZwkg1s6NalcSK2/2qIdx69KksauOKSX/QqoXV1vjVx2QJIUFROnq7fuPfJYEXdj/rUPABgiiR09erSzQ4CBRUZGSJIye2aVJMXExMgii9zc/jfU3M3NXRaLi44f2a+yFasoNiZarq6utgRWktzSp5cknTh8gCQWMIAH720PzyySpNiY6Ee8tw+obMWqCY7xx86tun37lv7T4NW0CRpAAq7pLHJN56J7MY4V03vRcarmk8v2PKBUHp2Y0lw3I6O17chljVh2QDcioh32+ejVMurdtJzOh93RsqDTmrrumOLinT5oEM8gPhY1NkMv7ATEx8dr4bQv5V26vAoVuT+XpkTJskqfIYO+mx2oqHv3dO/eXX07a6Li4+N083qYJKl0eX/duhGmNd8vUGxMjO7cDteS2VMkSTevX3Pa9QC4Lz4+Xgts7+0SkqQSJcv9/3t7ciLv7cTft5vX/yjfStWUI1eetAwfgJ2Ie7EKPhGq3k3LKW+2jHKxWNTihSKq/HxO5cmWUZK08eAldZm+Q01Hb9SQ7/apRqk8+r53bbnYjaCYvuG42k/ZriajftXcTX/pkyZlNPRtP2ddFgADc1oltkqVKvr555/l5eWlypUrP3IYWHBwcBpGBiOZN2Wczp/+W59PmGFry5Itu3p8NlpzAsdqw49LZLG4qPqLDVSkREm5uNz/PipYpLg69RqsRTO+1tI5U+WSzkUNmrRU1uxesrjw2RrgbHOnjNP50yc1aMJMW9v99/YYzQkco/X/eG9bXBJ+5hoWekUH9+5UjwGM5gGcrdO0HQr8oJpCAl9XbFy8Dpy+ruVBZ1S+iJckacXOM7a+R8/f1JGzN7X/q9cUUDq3th65Ikmauu6Yrc+RczcVHRunr9pV1bAl+xUdG5+2FwTw56KhOS2J7d+/vzw87s95eth9YvFsmzflC+3btV0Dx09PUGUpV6mavpyzUrdv3ZRLunTK7OGpD99+Wbny1rf1qVH7ZdWo/bJu3QhT+gwZJYtF61Z+q9x5C6T1pQCwM3fKOO3btU2fj5+R4L3tW6mavprzg8N7u+vbLyl33gYJjrN1w2p5emZVxWr/SavQATzE6asRajzyV2VKn06eGd105eY9/bdbgM6ERiTa/0xohK6F31OxPJ62JPaf9p4Mk5uri57LlVl/Xbr9JMMHYDJOS2KbNWuW6L8Bq9Wq+VPHa8+Ozfps3DePTDo9s2aTJB3Zv1vhN28k+sfsg1tzbFm/Su5u7onOqwPw5FmtVs2b+oX27NisgeOmJfO9XTPBsbb8sloB9V6Rq6shlncAICkyKk6RUXHKmslddcvl0+Dv9iXaL79XRnl5pNeVm3cfeqxyhbMrLj5eobeinlS4AEzKab/5IyIS/2QuMQ8qtng2zJ0yTkG/rdfHg8crQ8ZMtrlwmTJ7yD19BknSlg2rVaBQEXlmza4/Qw5p4bQJernZ2w73kt2waqmeL+WrDBkz6vAfwVr830lq2babMnt4JnpeAE/W3CljteO39frkke/tVcpfqKiyZM2uP0MOasG0L///vV3E4VhH9u9W6OWLqv1y0zS+CgCJqVMunywW6c9L4SqWx1PD3vbTiUvhWrT1pDKnd1Xf18tpVfBZXbl1T0XzeGjoW376+8ptbTx4SZJUuUROVSqeQ9tDruj23VhVeT6nRraupKW/n3a4DQ+QVritn7E5LYn19/dP8u0QQkJCnnA0MJKNa5ZLkkb26ezQ3vGTQfpPg8aSpEvnz2jpnCmKuB2uXHnyqclbbdXw9VYO/f8+fkQrFszQvXt3lb9gYbXr3l8B9V5Jm4sAkMCv///eHpHIe7vW/68ufOn8GS2xvbfz67VE3tuStHn9Kj1f2jdBcgvAObJkctOgFhWU3yuTbtyJ1urgsxrx/QHFxlnl6mJV6ULZ9FZAMWXN7KbLN+5q06FLGrXsoG2ua1RsnF6vXkT9XveVu5uLzoTe0Tc/H9OUdfwNCCAhi9Vqdcq65faLNV24cEETJkxQs2bNVKFCBUnS/v37tXLlSn366afJHm68+9St1AwVgEHwqSjw9Kr/+WpnhwDgCbixsLWzQ0iR45cjnXJen7yZnHJes3Hq6sQPvPfee+rXr58aN25sa6tbt668vb21dOlS5swCAAAAACQZ5D6x+/fvV9myZRO0ly1bVgcPHnRCRAAAAACeVRYnPZA0hkhi8+bNq6VLlyZo//7775U3b14nRAQAAAAAMCJD3JdgwIAB6t69u7Zt2yZfX19J0sGDB3XmzBlNnjzZydEBAAAAAIzCEElsrVq1tH79ei1evFh///23JKlOnTp66623lC9fPidHBwAAAOCZwtheQzNEEitJ+fLl0yeffOLsMAAAAAAABmaIObGStGfPHvXq1UtvvfWWrly5Ikn64YcftGfPHidHBgAAAOBZYnHSf0gaQySx69evV/v27ZUhQwYdOXJE0dHRkqSIiAhNnz7dydEBAAAAAIzCEEnsN998o6FDh2rEiBFydf3fCOeKFSvq6NGjTowMAAAAAGAkhpgTe+rUKfn7+ydo9/T0VHh4uBMiAgAAAPCssjCy19AMUYnNmTOnzp49m6B97969KlSokBMiAgAAAADjmj59upo3by4/Pz9Vr15dXbt2td3p5YGoqCgNHTpUVatWlZ+fn7p3765r16459Ll48aI6duyo8uXLq3r16ho7dqxiY2PT8lKSzRBJbIsWLTRy5EgdOHBAFotFV65c0apVqzR27Fi9/fbbzg4PAAAAwDPE4qRHcgQHB6t169ZaunSp5syZo9jYWLVv316RkZG2PqNGjdJvv/2mr7/+WgsWLNDVq1fVrVs32/a4uDh16tRJMTEx+u677zRmzBitXLlSkyZNSmY0actitVqtzg7CarVq2rRpmjFjhu7evStJcnd3V7t27fTRRx8l+3i7T91K5QgBGAGr9gFPr/qfr3Z2CACegBsLWzs7hBQ5efWuU85bPHfGFO97/fp1Va9eXQsXLlTlypV1+/ZtVa9eXePHj9fLL78sSTp58qReeeUVLVmyRBUqVNCWLVvUuXNnbdu2TTlz5pQkLV68WOPHj1dQUJDc3d1T5bpSmyHmxFosFnXp0kXt27fX2bNnFRkZqeLFiytz5szODg0AAADAs8ZJn5tHR0fb7tTygLu7e5KSydu3b0uSsmbNKkk6fPiwYmJiVKNGDVuf4sWLK3/+/Nq/f78qVKig/fv3y9vb25bASlJAQICGDBmiv/76S6VLl06Ny0p1Tk1i+/fvn6R+o0ePfsKRAAAAAIBzTZ8+XYGBgQ5t3bp1U/fu3R+5X3x8vEaNGqWKFSvK29tbknTt2jW5ubkpS5YsDn1z5Mih0NBQWx/7BFaS7fmDPkbk1CR25cqVyp8/v0qXLi0DjGoGAAAAAKfp1KmT2rZt69CWlCrs0KFD9eeff+rbb799UqEZilOT2Lfffltr167V+fPn9frrr6tJkybKli2bM0MCAAAA8Ixz1jocSR06bG/YsGHavHmzFi5cqLx589rac+bMqZiYGIWHhztUY8PCwpQrVy5bn4MHDzoc78HqxQ/6GJFTVycePHiwtm/frg4dOui3337Tiy++qJ49e2rbtm1UZgEAAADgIaxWq4YNG6ZffvlF8+bNS3Br0rJly8rNzU1BQUG2tr///lsXL15UhQoVJEkVKlTQiRMnFBYWZuuzY8cOeXh4qESJEmlyHSnh9IWd3N3d1bhxYzVu3FgXLlzQypUrNXToUMXFxWnNmjUs7gQAAAAgTVlMcEOEoUOHas2aNZo6daoyZ85sm8Pq6empDBkyyNPTU82bN9eYMWOUNWtWeXh4aMSIEfLz87MlsQEBASpRooT69Omj3r17KzQ0VF9//bVat25t2JWJJQMksfZcXO4Xhq1Wq+Li4pwcDQAAAAAY0+LFiyVJbdq0cWgfPXq0Xn/9dUnSgAED5OLioh49eig6OloBAQEaPHiwrW+6dOk0bdo0DRkyRC1btlTGjBnVrFkz9ejRI+0uJAWcfp/Y6OhobdiwQcuXL9fevXv14osvqnnz5qpZs6YtqU0u7hMLPJ24Tyzw9OI+scDTyaz3iT197Z5TzlskZwannNdsnFqJHTJkiH766SflzZtXzZs314QJE+Tl5eXMkAAAAAAABubUJPa7775T/vz5VahQIe3evVu7d+9OtN8/75UEAAAAAHg2OTWJbdq0qSxmmDUNAAAA4NlBimJoTk1ix4wZ48zTAwAAAABMxlCrEwMAAACAs7GYpLGlbPlfAAAAAACcgEosAAAAANhh2R5joxILAAAAADANklgAAAAAgGkwnBgAAAAA7DCa2NioxAIAAAAATINKLAAAAADYYWEnY6MSCwAAAAAwDSqxAAAAAOCAUqyRUYkFAAAAAJgGSSwAAAAAwDQYTgwAAAAAdljYydioxAIAAAAATINKLAAAAADYoRBrbFRiAQAAAACmQRILAAAAADANhhMDAAAAgB0WdjI2KrEAAAAAANOgEgsAAAAAdiws7WRoVGIBAAAAAKZBJRYAAAAA7FGINTQqsQAAAAAA0yCJBQAAAACYBsOJAQAAAMAOo4mNjUosAAAAAMA0qMQCAAAAgB0LpVhDoxILAAAAADANKrEAAAAAYMfCrFhDoxILAAAAADANklgAAAAAgGkwnBgAAAAA7DGa2NCoxAIAAAAATINKLAAAAADYoRBrbFRiAQAAAACmQSUWAAAAAOxYKMUaGpVYAAAAAIBpkMQCAAAAAEyD4cQAAAAAYMfC0k6GRiUWAAAAAGAaVGIBAAAAwA4LOxkblVgAAAAAgGmQxAIAAAAATIMkFgAAAABgGiSxAAAAAADTYGEnAAAAALDDwk7GRiUWAAAAAGAaVGIBAAAAwI5FlGKNjEosAAAAAMA0SGIBAAAAAKbBcGIAAAAAsMPCTsZGJRYAAAAAYBpUYgEAAADADoVYY6MSCwAAAAAwDSqxAAAAAGCPUqyhUYkFAAAAAJgGSSwAAAAAwDQYTgwAAAAAdiyMJzY0KrEAAAAAANOgEgsAAAAAdiwUYg2NSiwAAAAAwDSoxAIAAACAHQqxxkYlFgAAAABgGiSxAAAAAADTYDgxAAAAANhjPLGhUYkFAAAAAJgGlVgAAAAAsGOhFGtoVGIBAAAAAKZBJRYAAAAA7FgoxBoalVgAAAAAgGmQxAIAAAAATMNitVqtzg4CAAAAAICkoBILAAAAADANklgAAAAAgGmQxAIAAAAATIMkFgAAAABgGiSxAAAAAADTIIkFAAAAAJgGSSwAAAAAwDRIYgEAAAAApkESC9NYsWKF/P39k7VPv3791LVr1ycUEQAASKpdu3bJx8dH4eHhklL2ex0AJJJYGMTDkk37X3ivvPKK1q9f74ToAKQGPlQCjK1fv37y8fHRoEGDEmwbOnSofHx81K9fv1Q7H7/XAaQUSSxMI0OGDMqRI4ezwwAA4KmVL18+/fTTT7p3756tLSoqSmvWrFH+/PlT9Vz8XgeQUiSxMI3Ehh1NnTpV1atXl5+fnz777DONHz9er732WoJ9//vf/yogIEBVq1bV0KFDFRMTk1ZhA0iC4OBgvfHGGypbtqwCAgI0fvx4xcbGSpJ+++03+fv7Ky4uTpIUEhIiHx8fjR8/3rb/Z599pl69ejklduBpUrp0aeXLl08bNmywtW3YsEH58uVTqVKlbG3x8fGaPn266tSpI19fXzVp0kQ///yzw7G2bNmil156Sb6+vmrTpo0uXLjgsP2fv9cTG60xcuRItWnTxva8TZs2Gj58uEaOHKnKlSurRo0aWrp0qSIjI9W/f3/5+fmpfv362rJlS6p8PQAYE0ksTGvVqlWaNm2aevXqpRUrVihfvnxavHhxgn67du3S2bNnNW/ePI0ZM0YrV67UypUrnRAxgMRcuXJFHTt2VLly5fTjjz9qyJAhWrZsmb755htJkr+/v+7cuaOjR49Kup/wZs+eXcHBwbZj7N69W1WrVnVK/MDTpnnz5lqxYoXt+fLly/X666879Jk+fbp++OEHDR06VGvXrtX777+v3r17296Xly5dUrdu3VS7dm398MMPevPNNzVhwoRUiW/lypXKnj27vv/+e73zzjsaMmSIevbsKT8/P61cuVIvvPCC+vTpo7t376bK+QAYD0ksDGPz5s3y8/NzeHzwwQcP7b9w4UK98cYbat68uYoWLapu3brJ29s7Qb+sWbNq0KBBKl68uGrXrq1atWopKCjoSV4KgGT49ttvlTdvXtv7tF69eurevbtmz56t+Ph4eXp6qlSpUrY/joODg/X+++/r6NGjunPnjq5cuaIzZ86ocuXKTr4S4OnQpEkT7d27VxcuXNCFCxf0xx9/qEmTJrbt0dHRmj59ukaNGqWaNWuqUKFCev3119WkSRMtWbJEkrR48WI999xz6tevn4oVK6YmTZqoWbNmqRJfyZIl1bVrVxUpUkSdOnVS+vTplT17drVo0UJFihTRhx9+qJs3b+r48eOpcj4AxuPq7ACAB6pWraohQ4Y4tB04cEC9e/dOtP+pU6fUqlUrhzZfX1/t3LnToa1EiRJKly6d7XmuXLl04sSJ1AkawGM7efKk/Pz8ZLFYbG2VKlVSZGSkLl++rPz586ty5coKDg5Wu3bttGfPHn3yySdat26d9u7dq1u3bil37twqUqSI8y4CeIp4eXnpxRdf1MqVK2W1WvXiiy/Ky8vLtv3MmTO6e/eu2rVr57BfTEyMbcjxyZMn5evr67C9QoUKqRKfj4+P7d/p0qVTtmzZHD7EzpkzpyQpLCwsVc4HwHhIYmEYGTNmVOHChR3aLl++/NjHdXV1/Da3WCyyWq2PfVwAaadKlSpavny5jh07Jjc3NxUvXlxVqlRRcHCwwsPDVaVKFWeHCDxVmjdvrmHDhkmSBg8e7LAtMjJS0v0hxXny5HHY5u7unuJzJvb7+cHceHuJ/V63b3vwgRi/64GnF8OJYVpFixbVoUOHHNr++RyA8RUvXlz79u1z+INz7969ypw5s/LmzSvpf/Ni586daxs2XLVqVQUHB2vXrl0ksUAqq1mzpmJiYhQbG6uAgACHbcWLF5e7u7suXryowoULOzzy5ctn6/PP38kHDhx45Dm9vLwUGhrq0BYSEpIKVwPgaUMSC9N65513tGzZMq1cuVKnT5/W1KlTdfz4cYchiQCM5fbt2woJCXF4tGjRQpcvX9bw4cN18uRJ/frrr5o8ebLatm0rF5f7v6ayZs0qHx8frV692paw+vv76+jRozp9+jTzYYFUli5dOq1bt04//fSTw5QcSfLw8FC7du00evRorVy5UmfPntWRI0e0YMEC28KJb731lk6fPq2xY8fq77//1urVq/91UcVq1arp8OHD+uGHH3T69GlNmjRJf/755xO7RgDmxXBimFaTJk107tw5jR07VlFRUWrYsKGaNWtGNRYwsODgYDVt2tSh7Y033tCMGTM0btw4LV26VNmyZdMbb7yhLl26OPSrXLmyQkJCbElstmzZVLx4cYWFhalYsWJpdQnAM8PDw+Oh2z766CN5eXlp+vTpOn/+vDw9PVW6dGl17txZkpQ/f35NnjxZo0eP1sKFC+Xr66uPP/5YAwYMeOgxa9asqa5du+qLL75QVFSUmjdvrqZNm7KOBYAELFYmDOAp0rZtW+XMmVNffPGFs0MBAAAA8ARQiYVp3b17V999950CAgLk4uKitWvXaseOHZozZ46zQwMAAADwhFCJhWndu3dPnTt3VkhIiKKiolS0aFF16dJFDRo0cHZoAAAAAJ4QklgAAAAAgGmwOjEAAAAAwDRIYgEAAAAApkESCwAAAAAwDZJYAAAAAIBpkMQCAAAAAEyDJBYAkCz9+vVT165dbc/btGmjkSNHpnkcu3btko+Pj8LDw5/YOf55rSmRFnECAPAsIYkFgKdAv3795OPjIx8fH5UtW1b169dXYGCgYmNjn/i5J0+erJ49eyapb1ondHXq1NHcuXPT5FwAACBtuDo7AABA6qhZs6ZGjx6t6OhobdmyRcOGDZObm5s6deqUoG90dLTc3d1T5bzZsmVLleMAAAAkBZVYAHhKuLu7K1euXCpQoIBatWqlGjVqaNOmTZL+Nyz2m2++UUBAgF5++WVJ0qVLl9SzZ0/5+/urSpUq6tKli86fP287ZlxcnEaPHi1/f39VrVpV48aNk9VqdTjvP4cTR0dH64svvlCtWrVsVeHvv/9e58+f17vvvitJqly5snx8fNSvXz9JUnx8vKZPn646derI19dXTZo00c8//+xwni1btuill16Sr6+v2rRpowsXLjzW1ysuLk4DBgywnfOll17SvHnzEu0bGBioatWqqWLFiho0aJCio6Nt25ISOwAASD1UYgHgKZU+fXrdvHnT9jwoKEgeHh6aM2eOJCkmJkbt27dXhQoVtGjRIrm6umrq1Knq0KGDVq1aJXd3d82ePVsrV67UqFGjVLx4cc2ePVu//PKLqlWr9tDz9unTR/v379fAgQNVsmRJnT9/Xjdu3FC+fPk0efJkde/eXT///LM8PDyUIUMGSdL06dO1atUqDR06VEWKFNHu3bvVu3dveXl5qUqVKrp06ZK6deum1q1bq0WLFjp8+LDGjh37WF+f+Ph45c2bVxMnTlS2bNm0b98+DRo0SLly5dIrr7zi8HVLnz69FixYoAsXLqh///7Knj27Pv744yTFDgAAUhdJLAA8ZaxWq4KCgrR9+3a98847tvZMmTJpxIgRtmHEP/74o+Lj4zVy5EhZLBZJ0ujRo1W5cmUFBwcrICBA8+bNU8eOHdWgQQNJ0tChQ7V9+/aHnvvUqVNat26d5syZoxo1akiSChUqZNueNWtWSVKOHDmUJUsWSfcrt9OnT9ecOXPk5+dn22fv3r1asmSJqlSposWLF+u5556zVW6LFSumEydOaObMmSn+Orm5ualHjx6254UKFdL+/fv1888/OySx7u7uGjVqlDJmzKjnn39ePXr00Lhx49SzZ0/Fxsb+a+wAACB1kcQCwFNi8+bN8vPzU0xMjKxWqxo3bqzu3bvbtnt7ezvMgz127JjOnj2rihUrOhwnKipKZ8+e1e3btxUaGqry5cvbtrm6uqps2bIJhhQ/EBISonTp0qly5cpJjvvMmTO6e/eu2rVr59AeExOjUqVKSZJOnjwpX19fh+0VKlRI8jkeZtGiRVq+fLkuXryoqKgoxcTEqGTJkg59fHx8lDFjRttzPz8/RUZG6tKlS4qMjPzX2AEAQOoiiQWAp0TVqlU1ZMgQubm5KXfu3HJ1dfwRb5+ISVJkZKTKlCmj8ePHJziWl5dXimJ4MDw4OSIjIyXdH5abJ08eh22ptfhUYtauXauxY8eqb9++8vPzU+bMmfXf//5XBw4cSPIxnBU7AADPMpJYAHhKZMyYUYULF05y/zJlymjdunXKkSOHPDw8Eu2TK1cuHThwwFZZjY2N1ZEjR1S6dOlE+3t7eys+Pl67d++2DSe25+bmJun+okoPFC9eXO7u7rp48eJDh98WL17ctkjVA8lJNhPzxx9/yM/PT61bt7a1nT17NkG/48eP6969e7YEff/+/cqUKZPy5cunrFmz/mvsAAAgdZHEAsAz6tVXX9V///tfdenSRT179lSePHl08eJF/fLLL+rQoYPy5s2rd999VzNnzlSRIkVUtGhRzZ0795H3eC1YsKCaNWumAQMGaODAgfLx8dHFixcVFhamV155RQUKFJDFYtHmzZtVq1YtpU+fXh4eHmrXrp1Gjx4tq9WqSpUq6fbt2/rjjz/k4eGhZs2a6a233tLs2bM1duxYvfnmmzpy5IhWrlyZpOu8cuWKQkJCHNry58+vwoUL64cfftC2bdtUsGBB/fjjjzp06JAKFizo0Dc6OlqfffaZunTpogsXLmjy5Ml655135OLikqTYAQBA6iKJBYBnVMaMGbVw4UKNHz9e3bp10507d5QnTx5Vr17dVplt166dQkND1bdvX7m4uKh58+aqX7++bt++/dDjDhkyRF9++aWGDBmimzdvKn/+/LZ71ebJk0fdu3fXhAkT1L9/fzVt2lRjxozRRx99JC8vL02fPl3nz5+Xp6enSpcurc6dO0u6n3ROnjxZo0eP1sKFC+Xr66uPP/5YAwYM+NfrnD17tmbPnu3QNm7cOL311lsKCQnRxx9/LIvFokaNGqlVq1baunWrQ9/q1aurcOHCat26taKjoxPMNf632AEAQOqyWB+2OgcAAAAAAAbj4uwAAAAAAABIKpJYAAAAAIBpkMQCAAAAAEyDJBYAAAAAYBoksQAAAAAA0yCJBQAAAACYBkksAAAAAMA0SGIBAAAAAKZBEgsAAAAAMA2SWAAAAACAaZDEAgAAAABMgyQWAAAAAGAa/wfnU3IdwiS0HgAAAABJRU5ErkJggg==\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","============================================================\n","CLASSIFICATION REPORT (XGBoost)\n","============================================================\n","              precision    recall  f1-score   support\n","\n","        High     0.7595    0.7414    0.7503      1504\n","         Low     0.7602    0.7577    0.7589      1498\n","      Medium     0.5999    0.6157    0.6077      1551\n","\n","    accuracy                         0.7039      4553\n","   macro avg     0.7065    0.7049    0.7057      4553\n","weighted avg     0.7054    0.7039    0.7046      4553\n","\n","\n","Per-class accuracy:\n","  High    :  1115/ 1504 = 74.14%\n","  Low     :  1135/ 1498 = 75.77%\n","  Medium  :   955/ 1551 = 61.57%\n"]}]},{"cell_type":"markdown","source":["## 6. Clustering Analysis\n","\n","We use K-Means clustering to discover natural groups of developers in our data.\n","Unlike regression/classification, this is **unsupervised** - the algorithm\n","finds patterns without being told what to look for.\n","\n","**Strategy**:\n","1. Find optimal number of clusters (Elbow Method + Silhouette Score)\n","2. Train K-Means with optimal K\n","3. Analyze each cluster's characteristics\n","4. Visualize using PCA (reduce to 2D)\n","\n","This reveals natural developer segments that exist in the tech industry."],"metadata":{"id":"wiuCKYe7vjGc"}},{"cell_type":"code","source":["from sklearn.cluster import KMeans\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.metrics import silhouette_score\n","\n","# Standardize features (K-Means is sensitive to scale)\n","scaler = StandardScaler()\n","X_scaled = scaler.fit_transform(X)\n","\n","print(\"Finding optimal number of clusters...\")\n","print(\"=\" * 60)\n","\n","# Try different K values\n","k_values = range(2, 11)\n","inertias = []\n","silhouette_scores = []\n","\n","for k in k_values:\n","    print(f\"  Testing K={k}...\", end=\" \")\n","    kmeans = KMeans(n_clusters=k, random_state=42, n_init=10)\n","    kmeans.fit(X_scaled)\n","\n","    inertias.append(kmeans.inertia_)\n","\n","    # Silhouette score (only if we have multiple clusters)\n","    silhouette = silhouette_score(X_scaled, kmeans.labels_, sample_size=5000, random_state=42)\n","    silhouette_scores.append(silhouette)\n","\n","    print(f\"Inertia: {kmeans.inertia_:>10,.0f}, Silhouette: {silhouette:.4f}\")\n","\n","# Visualize Elbow Method and Silhouette\n","fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n","\n","# Elbow Method\n","axes[0].plot(k_values, inertias, 'bo-', linewidth=2, markersize=8)\n","axes[0].set_title('Elbow Method', fontsize=14)\n","axes[0].set_xlabel('Number of Clusters (K)')\n","axes[0].set_ylabel('Inertia (Within-Cluster Sum of Squares)')\n","axes[0].grid(True, alpha=0.3)\n","\n","# Silhouette Score\n","axes[1].plot(k_values, silhouette_scores, 'ro-', linewidth=2, markersize=8)\n","axes[1].set_title('Silhouette Score', fontsize=14)\n","axes[1].set_xlabel('Number of Clusters (K)')\n","axes[1].set_ylabel('Silhouette Score (higher = better)')\n","axes[1].grid(True, alpha=0.3)\n","\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/08_elbow_method.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Find best K\n","best_k_silhouette = k_values[np.argmax(silhouette_scores)]\n","print(f\"\\n🎯 Best K by Silhouette Score: {best_k_silhouette}\")\n","print(f\"   (Silhouette = {max(silhouette_scores):.4f})\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":750},"id":"w5H-2zzpvj8d","executionInfo":{"status":"ok","timestamp":1777931047848,"user_tz":-180,"elapsed":30438,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"9053197d-3d6b-4950-b74e-76f0a76be1f8"},"execution_count":55,"outputs":[{"output_type":"stream","name":"stdout","text":["Finding optimal number of clusters...\n","============================================================\n","  Testing K=2... Inertia:  1,485,991, Silhouette: 0.0401\n","  Testing K=3... Inertia:  1,443,158, Silhouette: 0.0416\n","  Testing K=4... Inertia:  1,414,205, Silhouette: 0.0428\n","  Testing K=5... Inertia:  1,390,362, Silhouette: 0.0270\n","  Testing K=6... Inertia:  1,367,340, Silhouette: 0.0333\n","  Testing K=7... Inertia:  1,346,692, Silhouette: 0.0363\n","  Testing K=8... Inertia:  1,326,834, Silhouette: 0.0285\n","  Testing K=9... Inertia:  1,305,046, Silhouette: 0.0364\n","  Testing K=10... Inertia:  1,292,242, Silhouette: 0.0455\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x500 with 2 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","🎯 Best K by Silhouette Score: 10\n","   (Silhouette = 0.0455)\n"]}]},{"cell_type":"markdown","source":["### 6.2 Train K-Means with K=4\n","\n","While the highest Silhouette score was at K=10, we choose K=4 for these reasons:\n","\n","1. **K=4 has the best Silhouette in the interpretable range** (0.0428 vs 0.0270 for K=5)\n","2. **K=10 produces too many fragmented groups** - hard to interpret\n","3. **K=4 yields meaningful, balanced segments** (~5,000+ developers each)\n","4. **Business interpretability matters** - 4 personas are actionable, 10 are not\n","\n","Note: Low Silhouette scores are typical for high-dimensional data with many\n","binary features. The clusters are still meaningful - they just have soft boundaries."],"metadata":{"id":"xAxj-f0CwBH7"}},{"cell_type":"code","source":["# Train K-Means with K=4\n","optimal_k = 4\n","\n","print(f\"Training K-Means with K={optimal_k}...\")\n","kmeans_final = KMeans(n_clusters=optimal_k, random_state=42, n_init=10)\n","cluster_labels = kmeans_final.fit_predict(X_scaled)\n","\n","# Add cluster labels to data\n","df_final['cluster'] = cluster_labels\n","\n","# Cluster sizes\n","print(f\"\\nCluster sizes:\")\n","print(\"=\" * 40)\n","for cluster_id in range(optimal_k):\n","    count = (cluster_labels == cluster_id).sum()\n","    pct = count / len(cluster_labels) * 100\n","    print(f\"  Cluster {cluster_id}: {count:>6,} ({pct:>5.1f}%)\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"SrfIBxYVwANs","executionInfo":{"status":"ok","timestamp":1777929480425,"user_tz":-180,"elapsed":2157,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"6de2a8b0-fc13-4c9c-f0bd-20c256868c96"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["Training K-Means with K=4...\n","\n","Cluster sizes:\n","========================================\n","  Cluster 0: 10,271 ( 45.1%)\n","  Cluster 1:  2,325 ( 10.2%)\n","  Cluster 2:  5,716 ( 25.1%)\n","  Cluster 3:  4,453 ( 19.6%)\n"]}]},{"cell_type":"markdown","source":["### 6.3 Cluster characterization\n","\n","Now we examine each cluster's characteristics to understand what type\n","of developers they represent. We look at:\n","- Salary distribution\n","- Geographic location (region)\n","- Experience level\n","- Developer type\n","- Education level\n","\n","This reveals the natural personas in our data."],"metadata":{"id":"-h8VrTEW1om0"}},{"cell_type":"code","source":["# Comprehensive cluster analysis\n","print(\"=\" * 75)\n","print(\"CLUSTER CHARACTERIZATION\")\n","print(\"=\" * 75)\n","\n","# For interpretation, we need original (non-encoded) values\n","# Re-attach original Country, DevType, etc. to df_final\n","df_final_with_orig = df_final.copy()\n","df_final_with_orig['Country_orig'] = df.loc[df_final.index, 'Country'].values\n","df_final_with_orig['DevType_orig'] = df.loc[df_final.index, 'DevType'].values\n","df_final_with_orig['EdLevel_orig'] = df.loc[df_final.index, 'EdLevel'].values\n","\n","for cluster_id in range(optimal_k):\n","    cluster_data = df_final_with_orig[df_final_with_orig['cluster'] == cluster_id]\n","\n","    print(f\"\\n{'=' * 75}\")\n","    print(f\"📊 CLUSTER {cluster_id} - Size: {len(cluster_data):,} ({len(cluster_data)/len(df_final)*100:.1f}%)\")\n","    print(f\"{'=' * 75}\")\n","\n","    # Salary stats\n","    salary = cluster_data['ConvertedCompYearly']\n","    print(f\"\\n💰 Salary:\")\n","    print(f\"   Median: ${salary.median():>8,.0f}\")\n","    print(f\"   Mean:   ${salary.mean():>8,.0f}\")\n","\n","    # Top regions (most common Region columns set to 1)\n","    region_cols = [col for col in cluster_data.columns if col.startswith('Region_')]\n","    region_pcts = (cluster_data[region_cols].sum() / len(cluster_data) * 100).sort_values(ascending=False)\n","    print(f\"\\n🌍 Top 3 Regions:\")\n","    for region, pct in region_pcts.head(3).items():\n","        region_clean = region.replace('Region_', '')\n","        print(f\"   {region_clean:<25} {pct:>5.1f}%\")\n","\n","    # Experience\n","    print(f\"\\n⏰ Experience:\")\n","    print(f\"   YearsCodePro median: {cluster_data['YearsCodePro'].median():.1f}\")\n","    print(f\"   YearsCode median:    {cluster_data['YearsCode'].median():.1f}\")\n","\n","    # Education\n","    edlevel_median = cluster_data['EdLevel_encoded'].median()\n","    edlevel_names = {0: 'Other', 1: 'Primary', 2: 'Secondary', 3: 'Some College',\n","                     4: 'Associate', 5: 'Bachelor', 6: 'Master', 7: 'Professional'}\n","    print(f\"\\n🎓 Education (median): {edlevel_names.get(int(edlevel_median), 'Unknown')}\")\n","\n","    # Top dev categories\n","    dev_cols = [col for col in cluster_data.columns if col.startswith('DevCategory_')]\n","    dev_pcts = (cluster_data[dev_cols].sum() / len(cluster_data) * 100).sort_values(ascending=False)\n","    print(f\"\\n💼 Top 3 Developer Roles:\")\n","    for dev, pct in dev_pcts.head(3).items():\n","        dev_clean = dev.replace('DevCategory_', '')\n","        print(f\"   {dev_clean:<25} {pct:>5.1f}%\")\n","\n","    # Tech indicators\n","    tech_cols = [col for col in cluster_data.columns if col.startswith('uses_')]\n","    tech_pcts = (cluster_data[tech_cols].sum() / len(cluster_data) * 100).sort_values(ascending=False)\n","    print(f\"\\n💻 Top 5 Technologies:\")\n","    for tech, pct in tech_pcts.head(5).items():\n","        tech_clean = tech.replace('uses_', '')\n","        print(f\"   {tech_clean:<25} {pct:>5.1f}%\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JmTXxNxh1pcT","executionInfo":{"status":"ok","timestamp":1777929480458,"user_tz":-180,"elapsed":31,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"0a170f78-9d6a-4abc-c014-e4ff825eec40"},"execution_count":43,"outputs":[{"output_type":"stream","name":"stdout","text":["===========================================================================\n","CLUSTER CHARACTERIZATION\n","===========================================================================\n","\n","===========================================================================\n","📊 CLUSTER 0 - Size: 10,271 (45.1%)\n","===========================================================================\n","\n","💰 Salary:\n","   Median: $  58,375\n","   Mean:   $  70,060\n","\n","🌍 Top 3 Regions:\n","   Western_Europe             27.1%\n","   North_America              20.8%\n","   Eastern_Europe             17.9%\n","\n","⏰ Experience:\n","   YearsCodePro median: 6.0\n","   YearsCode median:    10.0\n","\n","🎓 Education (median): Bachelor\n","\n","💼 Top 3 Developer Roles:\n","   FullStack                  33.4%\n","   Frontend                   14.7%\n","   Data                        8.7%\n","\n","💻 Top 5 Technologies:\n","   ChatGPT                    60.3%\n","   Docker                     50.2%\n","   Python                     45.0%\n","   TypeScript                 31.1%\n","   AWS                        31.0%\n","\n","===========================================================================\n","📊 CLUSTER 1 - Size: 2,325 (10.2%)\n","===========================================================================\n","\n","💰 Salary:\n","   Median: $  42,962\n","   Mean:   $  56,743\n","\n","🌍 Top 3 Regions:\n","   Western_Europe             35.4%\n","   Eastern_Europe             21.5%\n","   North_America              10.9%\n","\n","⏰ Experience:\n","   YearsCodePro median: 6.0\n","   YearsCode median:    10.0\n","\n","🎓 Education (median): Bachelor\n","\n","💼 Top 3 Developer Roles:\n","   FullStack                  41.2%\n","   Other                      12.9%\n","   Frontend                   12.3%\n","\n","💻 Top 5 Technologies:\n","   ChatGPT                    69.4%\n","   Python                     52.9%\n","   Docker                     52.0%\n","   TypeScript                 44.1%\n","   Copilot                    37.1%\n","\n","===========================================================================\n","📊 CLUSTER 2 - Size: 5,716 (25.1%)\n","===========================================================================\n","\n","💰 Salary:\n","   Median: $  66,000\n","   Mean:   $  81,451\n","\n","🌍 Top 3 Regions:\n","   North_America              23.7%\n","   Western_Europe             19.3%\n","   Eastern_Europe             13.1%\n","\n","⏰ Experience:\n","   YearsCodePro median: 7.0\n","   YearsCode median:    11.0\n","\n","🎓 Education (median): Bachelor\n","\n","💼 Top 3 Developer Roles:\n","   FullStack                  51.1%\n","   Frontend                    6.9%\n","   Infrastructure              6.4%\n","\n","💻 Top 5 Technologies:\n","   ChatGPT                    88.4%\n","   TypeScript                 73.4%\n","   AWS                        71.4%\n","   Copilot                    67.1%\n","   Python                     62.1%\n","\n","===========================================================================\n","📊 CLUSTER 3 - Size: 4,453 (19.6%)\n","===========================================================================\n","\n","💰 Salary:\n","   Median: $ 105,258\n","   Mean:   $ 120,449\n","\n","🌍 Top 3 Regions:\n","   North_America              38.5%\n","   Western_Europe             28.1%\n","   Eastern_Europe              7.2%\n","\n","⏰ Experience:\n","   YearsCodePro median: 22.0\n","   YearsCode median:    29.0\n","\n","🎓 Education (median): Bachelor\n","\n","💼 Top 3 Developer Roles:\n","   FullStack                  40.9%\n","   Management                  9.5%\n","   Other                       9.1%\n","\n","💻 Top 5 Technologies:\n","   Docker                     52.4%\n","   ChatGPT                    44.2%\n","   AWS                        40.8%\n","   Python                     38.9%\n","   Azure                      30.5%\n"]}]},{"cell_type":"markdown","source":["### 6.4 Cluster visualization with PCA\n","\n","To visualize 68-dimensional clusters, we use Principal Component Analysis\n","(PCA) to project the data into 2D while preserving as much variance as possible.\n","\n","We also add interpretive labels to make the clusters meaningful."],"metadata":{"id":"fR2aar894GBO"}},{"cell_type":"code","source":["from sklearn.decomposition import PCA\n","\n","# Reduce dimensions to 2 for visualization\n","pca = PCA(n_components=2, random_state=42)\n","X_pca = pca.fit_transform(X_scaled)\n","\n","print(f\"Variance explained:\")\n","print(f\"  PC1: {pca.explained_variance_ratio_[0]*100:.1f}%\")\n","print(f\"  PC2: {pca.explained_variance_ratio_[1]*100:.1f}%\")\n","print(f\"  Total: {pca.explained_variance_ratio_.sum()*100:.1f}%\")\n","\n","# Cluster names based on our analysis\n","cluster_names = {\n","    0: 'Mainstream Developer',\n","    1: 'Junior/Eastern Europe',\n","    2: 'Modern Tech Worker',\n","    3: 'Elite/Senior'\n","}\n","\n","# Visualize\n","plt.figure(figsize=(14, 9))\n","colors = ['#3498db', '#e74c3c', '#2ecc71', '#f39c12']\n","\n","for cluster_id in range(optimal_k):\n","    mask = cluster_labels == cluster_id\n","    plt.scatter(\n","        X_pca[mask, 0], X_pca[mask, 1],\n","        c=colors[cluster_id],\n","        label=f\"Cluster {cluster_id}: {cluster_names[cluster_id]} (n={mask.sum():,})\",\n","        alpha=0.5,\n","        s=20\n","    )\n","\n","# Plot cluster centers\n","centers_pca = pca.transform(kmeans_final.cluster_centers_)\n","plt.scatter(\n","    centers_pca[:, 0], centers_pca[:, 1],\n","    c='black', marker='X', s=300, edgecolors='white', linewidths=2,\n","    label='Cluster centers', zorder=5\n",")\n","\n","plt.title(f'Developer Clusters (K-Means, K={optimal_k}) - PCA Projection', fontsize=14)\n","plt.xlabel(f'PC1 ({pca.explained_variance_ratio_[0]*100:.1f}% variance)')\n","plt.ylabel(f'PC2 ({pca.explained_variance_ratio_[1]*100:.1f}% variance)')\n","plt.legend(loc='best', fontsize=10)\n","plt.grid(True, alpha=0.3)\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/09_clusters_pca.png', dpi=100, bbox_inches='tight')\n","plt.show()\n","\n","# Salary distribution per cluster\n","plt.figure(figsize=(12, 6))\n","cluster_salaries = []\n","cluster_labels_for_plot = []\n","for cluster_id in range(optimal_k):\n","    mask = cluster_labels == cluster_id\n","    salaries = df_final.loc[mask, 'ConvertedCompYearly']\n","    cluster_salaries.append(salaries.values)\n","    cluster_labels_for_plot.append(f\"C{cluster_id}\\n{cluster_names[cluster_id]}\")\n","\n","bp = plt.boxplot(cluster_salaries, labels=cluster_labels_for_plot, patch_artist=True)\n","for patch, color in zip(bp['boxes'], colors):\n","    patch.set_facecolor(color)\n","    patch.set_alpha(0.7)\n","\n","plt.title('Salary Distribution by Cluster', fontsize=14)\n","plt.ylabel('Annual Salary (USD)')\n","plt.grid(True, alpha=0.3, axis='y')\n","plt.tight_layout()\n","plt.savefig(f'{images_dir}/10_salary_by_cluster.png', dpi=100, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"x1l7NStN4Gqe","executionInfo":{"status":"ok","timestamp":1777931161647,"user_tz":-180,"elapsed":3957,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"321d2f8c-8859-4f54-cd5a-0529b3574f1c"},"execution_count":56,"outputs":[{"output_type":"stream","name":"stdout","text":["Variance explained:\n","  PC1: 6.4%\n","  PC2: 5.2%\n","  Total: 11.7%\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x900 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/tmp/ipykernel_37891/352391670.py:61: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n","  bp = plt.boxplot(cluster_salaries, labels=cluster_labels_for_plot, patch_artist=True)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## 7. Save Models for Deployment\n","\n","We save our best models (XGBoost for both regression and classification)\n","as pickle files. These will be uploaded to HuggingFace alongside the notebook.\n","\n","We also save:\n","- The scaler (for preprocessing new data)\n","- The label encoder (for converting class predictions back to labels)\n","- Feature names (for ensuring correct input format)"],"metadata":{"id":"uY8LzFA147tM"}},{"cell_type":"code","source":["import pickle\n","import os\n","\n","# Create models directory in Drive\n","models_dir = '/content/drive/MyDrive/data_science_project/models'\n","os.makedirs(models_dir, exist_ok=True)\n","\n","# Save XGBoost regression model\n","with open(f'{models_dir}/regression_model.pkl', 'wb') as f:\n","    pickle.dump(xgb_model, f)\n","print(f\"✓ Saved regression model to: {models_dir}/regression_model.pkl\")\n","\n","# Save XGBoost classification model\n","with open(f'{models_dir}/classification_model.pkl', 'wb') as f:\n","    pickle.dump(xgb_cls, f)\n","print(f\"✓ Saved classification model to: {models_dir}/classification_model.pkl\")\n","\n","# Save the scaler (needed for clustering and any new data)\n","with open(f'{models_dir}/scaler.pkl', 'wb') as f:\n","    pickle.dump(scaler, f)\n","print(f\"✓ Saved scaler to: {models_dir}/scaler.pkl\")\n","\n","# Save the label encoder (for classification)\n","with open(f'{models_dir}/label_encoder.pkl', 'wb') as f:\n","    pickle.dump(label_encoder, f)\n","print(f\"✓ Saved label encoder to: {models_dir}/label_encoder.pkl\")\n","\n","# Save the K-Means clustering model\n","with open(f'{models_dir}/kmeans_model.pkl', 'wb') as f:\n","    pickle.dump(kmeans_final, f)\n","print(f\"✓ Saved K-Means model to: {models_dir}/kmeans_model.pkl\")\n","\n","# Save feature names (important for using the model later)\n","feature_names = X.columns.tolist()\n","with open(f'{models_dir}/feature_names.pkl', 'wb') as f:\n","    pickle.dump(feature_names, f)\n","print(f\"✓ Saved feature names ({len(feature_names)} features)\")\n","\n","# Verify all files exist\n","print(\"\\n\" + \"=\" * 60)\n","print(\"Verification - files in models directory:\")\n","print(\"=\" * 60)\n","for f in sorted(os.listdir(models_dir)):\n","    size_kb = os.path.getsize(f'{models_dir}/{f}') / 1024\n","    print(f\"  {f:<35} {size_kb:>8,.1f} KB\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Zl4d12N948a2","executionInfo":{"status":"ok","timestamp":1777930069642,"user_tz":-180,"elapsed":188,"user":{"displayName":"רז סרוסי","userId":"18434033082577157811"}},"outputId":"18873340-824f-4ca2-ea0e-04b6774d621f"},"execution_count":45,"outputs":[{"output_type":"stream","name":"stdout","text":["✓ Saved regression model to: /content/drive/MyDrive/data_science_project/models/regression_model.pkl\n","✓ Saved classification model to: /content/drive/MyDrive/data_science_project/models/classification_model.pkl\n","✓ Saved scaler to: /content/drive/MyDrive/data_science_project/models/scaler.pkl\n","✓ Saved label encoder to: /content/drive/MyDrive/data_science_project/models/label_encoder.pkl\n","✓ Saved K-Means model to: /content/drive/MyDrive/data_science_project/models/kmeans_model.pkl\n","✓ Saved feature names (68 features)\n","\n","============================================================\n","Verification - files in models directory:\n","============================================================\n","  classification_model.pkl             3,364.1 KB\n","  feature_names.pkl                        1.5 KB\n","  kmeans_model.pkl                        91.7 KB\n","  label_encoder.pkl                        0.3 KB\n","  regression_model.pkl                 1,225.1 KB\n","  scaler.pkl                               3.6 KB\n"]}]}]}