DT.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "dedf0dbc-3381-4c04-aa3d-c37eeee2abc4",
   "metadata": {},
   "source": [
    "# **Project Name - Data Science Salaries 2023**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5c5a7bc-42a1-46f2-a76e-14a9cd939243",
   "metadata": {},
   "source": [
    "### **Project Type - Exploratory Data Analysis (EDA)**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf0b0de1-76ae-45a1-8292-8d49db87e104",
   "metadata": {},
   "source": [
    "# **About the Dataset**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "255b0047-b082-499a-812c-df816537de01",
   "metadata": {},
   "source": [
    "Data Science Job Salaries Dataset contains 11 columns, each are"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30d59eb9-1c44-4a59-83a3-958a5efac34b",
   "metadata": {},
   "source": [
    "**work_year :-** The year the salary was paid.\n",
    "\n",
    "**experience_level :-** The experience level in the job during the year.\n",
    "\n",
    "**employment_type :-**  The type of employment for the role.\n",
    "\n",
    "**job_title :-** The role worked in during the year.\n",
    "\n",
    "**salary :-** The total gross salary amount paid.\n",
    "\n",
    "**salary_currency :-** The currency of the salary paid as an ISO 4217 currency code.\n",
    "\n",
    "**salaryinusd: :-** The salary in USD.\n",
    "\n",
    "**employee_residence :-** Employee's primary country of residence in during the work year as an ISO 3166 country code.\n",
    "\n",
    "**remote_ratio :-** The overall amount of work done remotely.\n",
    "\n",
    "**company_location :-** The country of the employer's main office or contracting branch.\n",
    "\n",
    "**company_size :-** The median number of people that worked for the company during the year."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d82c4b66-e681-4173-b0c5-4ba1473b5ab5",
   "metadata": {},
   "source": [
    "The dataset is downloaded from Kaggle website and link of dataset is https://www.kaggle.com/datasets/arnabchaki/data-science-salaries-2023"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1cd860e-18bc-447c-9234-49952f44c2ac",
   "metadata": {},
   "source": [
    "# **Project Summary -**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f07b6932-0d89-4f9a-8bd3-0d2a4502aa31",
   "metadata": {},
   "source": [
    "\n",
    "*   This project starts with exploring and cleaning a dataset to prepare it for analysis.  The data exploration process involved identifying and understanding the characteristics of the data, such as the data types, missing values, and distributions of values. The data cleaning process involved detecting and resolving  any issues  in the data, such as errors, missing values, or duplicate records and remove=ing outliers. \n",
    "\n",
    "*   Once the data has been cleaned and prepared, we will create visualizations graphs and check the relationship between different variables of the dataset.\n",
    "\n",
    "*   We will perform exploratory data analysis (EDA) of this dataset that consists of three steps (1) Univariate Analysis (2) Bivariate Analysis (3) Multivariate Analysis.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "6d3e8980-8390-4bcc-a0e5-180271fb27c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the required libraries\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6fff5ec2-a5e7-4cef-b08c-29f768ba955b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#load the dataset\n",
    "ds_salaries = pd.read_csv('ds_salaries.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "2e019dde-afa3-4488-b495-1f2030240d0c",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>work_year</th>\n",
       "      <th>experience_level</th>\n",
       "      <th>employment_type</th>\n",
       "      <th>job_title</th>\n",
       "      <th>salary</th>\n",
       "      <th>salary_currency</th>\n",
       "      <th>salary_in_usd</th>\n",
       "      <th>employee_residence</th>\n",
       "      <th>remote_ratio</th>\n",
       "      <th>company_location</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Principal Data Scientist</td>\n",
       "      <td>80000</td>\n",
       "      <td>EUR</td>\n",
       "      <td>85847</td>\n",
       "      <td>ES</td>\n",
       "      <td>100</td>\n",
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       "      <td>2023</td>\n",
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       "      <td>30000</td>\n",
       "      <td>USD</td>\n",
       "      <td>30000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
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       "      <td>2023</td>\n",
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       "      <td>CT</td>\n",
       "      <td>ML Engineer</td>\n",
       "      <td>25500</td>\n",
       "      <td>USD</td>\n",
       "      <td>25500</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>175000</td>\n",
       "      <td>USD</td>\n",
       "      <td>175000</td>\n",
       "      <td>CA</td>\n",
       "      <td>100</td>\n",
       "      <td>CA</td>\n",
       "      <td>M</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>120000</td>\n",
       "      <td>USD</td>\n",
       "      <td>120000</td>\n",
       "      <td>CA</td>\n",
       "      <td>100</td>\n",
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       "    <tr>\n",
       "      <th>3750</th>\n",
       "      <td>2020</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>412000</td>\n",
       "      <td>USD</td>\n",
       "      <td>412000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
       "      <td>L</td>\n",
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       "    <tr>\n",
       "      <th>3751</th>\n",
       "      <td>2021</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>Principal Data Scientist</td>\n",
       "      <td>151000</td>\n",
       "      <td>USD</td>\n",
       "      <td>151000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
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       "      <td>2020</td>\n",
       "      <td>EN</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>105000</td>\n",
       "      <td>USD</td>\n",
       "      <td>105000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>3753</th>\n",
       "      <td>2020</td>\n",
       "      <td>EN</td>\n",
       "      <td>CT</td>\n",
       "      <td>Business Data Analyst</td>\n",
       "      <td>100000</td>\n",
       "      <td>USD</td>\n",
       "      <td>100000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
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       "      <th>3754</th>\n",
       "      <td>2021</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Science Manager</td>\n",
       "      <td>7000000</td>\n",
       "      <td>INR</td>\n",
       "      <td>94665</td>\n",
       "      <td>IN</td>\n",
       "      <td>50</td>\n",
       "      <td>IN</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
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       "<p>3755 rows × 11 columns</p>\n",
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      ],
      "text/plain": [
       "      work_year experience_level employment_type                 job_title  \\\n",
       "0          2023               SE              FT  Principal Data Scientist   \n",
       "1          2023               MI              CT               ML Engineer   \n",
       "2          2023               MI              CT               ML Engineer   \n",
       "3          2023               SE              FT            Data Scientist   \n",
       "4          2023               SE              FT            Data Scientist   \n",
       "...         ...              ...             ...                       ...   \n",
       "3750       2020               SE              FT            Data Scientist   \n",
       "3751       2021               MI              FT  Principal Data Scientist   \n",
       "3752       2020               EN              FT            Data Scientist   \n",
       "3753       2020               EN              CT     Business Data Analyst   \n",
       "3754       2021               SE              FT      Data Science Manager   \n",
       "\n",
       "       salary salary_currency  salary_in_usd employee_residence  remote_ratio  \\\n",
       "0       80000             EUR          85847                 ES           100   \n",
       "1       30000             USD          30000                 US           100   \n",
       "2       25500             USD          25500                 US           100   \n",
       "3      175000             USD         175000                 CA           100   \n",
       "4      120000             USD         120000                 CA           100   \n",
       "...       ...             ...            ...                ...           ...   \n",
       "3750   412000             USD         412000                 US           100   \n",
       "3751   151000             USD         151000                 US           100   \n",
       "3752   105000             USD         105000                 US           100   \n",
       "3753   100000             USD         100000                 US           100   \n",
       "3754  7000000             INR          94665                 IN            50   \n",
       "\n",
       "     company_location company_size  \n",
       "0                  ES            L  \n",
       "1                  US            S  \n",
       "2                  US            S  \n",
       "3                  CA            M  \n",
       "4                  CA            M  \n",
       "...               ...          ...  \n",
       "3750               US            L  \n",
       "3751               US            L  \n",
       "3752               US            S  \n",
       "3753               US            L  \n",
       "3754               IN            L  \n",
       "\n",
       "[3755 rows x 11 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc4198ed-c464-4979-85f2-b3e97e49585e",
   "metadata": {},
   "source": [
    "We will perform exploratory data analysis for this data. But before doing this process We will get more information about dataset like total\n",
    "columns, their datatype, null values and which columns of dataset is necessary for this analysis. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f11c870-1f24-4691-94a4-ba4a6057cf5a",
   "metadata": {},
   "source": [
    "## **Data exploring and cleaning**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "7628bcb8-a9df-42e7-a11d-25648826b994",
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       "      <th></th>\n",
       "      <th>work_year</th>\n",
       "      <th>experience_level</th>\n",
       "      <th>employment_type</th>\n",
       "      <th>job_title</th>\n",
       "      <th>salary</th>\n",
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       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Principal Data Scientist</td>\n",
       "      <td>80000</td>\n",
       "      <td>EUR</td>\n",
       "      <td>85847</td>\n",
       "      <td>ES</td>\n",
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       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>MI</td>\n",
       "      <td>CT</td>\n",
       "      <td>ML Engineer</td>\n",
       "      <td>30000</td>\n",
       "      <td>USD</td>\n",
       "      <td>30000</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023</td>\n",
       "      <td>MI</td>\n",
       "      <td>CT</td>\n",
       "      <td>ML Engineer</td>\n",
       "      <td>25500</td>\n",
       "      <td>USD</td>\n",
       "      <td>25500</td>\n",
       "      <td>US</td>\n",
       "      <td>100</td>\n",
       "      <td>US</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>175000</td>\n",
       "      <td>USD</td>\n",
       "      <td>175000</td>\n",
       "      <td>CA</td>\n",
       "      <td>100</td>\n",
       "      <td>CA</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>120000</td>\n",
       "      <td>USD</td>\n",
       "      <td>120000</td>\n",
       "      <td>CA</td>\n",
       "      <td>100</td>\n",
       "      <td>CA</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "   work_year experience_level employment_type                 job_title  \\\n",
       "0       2023               SE              FT  Principal Data Scientist   \n",
       "1       2023               MI              CT               ML Engineer   \n",
       "2       2023               MI              CT               ML Engineer   \n",
       "3       2023               SE              FT            Data Scientist   \n",
       "4       2023               SE              FT            Data Scientist   \n",
       "\n",
       "   salary salary_currency  salary_in_usd employee_residence  remote_ratio  \\\n",
       "0   80000             EUR          85847                 ES           100   \n",
       "1   30000             USD          30000                 US           100   \n",
       "2   25500             USD          25500                 US           100   \n",
       "3  175000             USD         175000                 CA           100   \n",
       "4  120000             USD         120000                 CA           100   \n",
       "\n",
       "  company_location company_size  \n",
       "0               ES            L  \n",
       "1               US            S  \n",
       "2               US            S  \n",
       "3               CA            M  \n",
       "4               CA            M  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e1dba089-843d-41c2-aa5b-51d24f535078",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['work_year', 'experience_level', 'employment_type', 'job_title',\n",
       "       'salary', 'salary_currency', 'salary_in_usd', 'employee_residence',\n",
       "       'remote_ratio', 'company_location', 'company_size'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e079573b-0835-4184-80e2-00b8e2871a41",
   "metadata": {},
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    {
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       "(3755, 11)"
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     "execution_count": 50,
     "metadata": {},
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   ],
   "source": [
    "ds_salaries.shape"
   ]
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   "execution_count": 51,
   "id": "344f7f61-c7c7-4de4-b88e-106cc006fef0",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3755 entries, 0 to 3754\n",
      "Data columns (total 11 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   work_year           3755 non-null   int64 \n",
      " 1   experience_level    3755 non-null   object\n",
      " 2   employment_type     3755 non-null   object\n",
      " 3   job_title           3755 non-null   object\n",
      " 4   salary              3755 non-null   int64 \n",
      " 5   salary_currency     3755 non-null   object\n",
      " 6   salary_in_usd       3755 non-null   int64 \n",
      " 7   employee_residence  3755 non-null   object\n",
      " 8   remote_ratio        3755 non-null   int64 \n",
      " 9   company_location    3755 non-null   object\n",
      " 10  company_size        3755 non-null   object\n",
      "dtypes: int64(4), object(7)\n",
      "memory usage: 322.8+ KB\n"
     ]
    }
   ],
   "source": [
    "ds_salaries.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0f984a82-35a9-49b1-a9dd-975c8f52c71c",
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       "    }\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>work_year</th>\n",
       "      <th>salary</th>\n",
       "      <th>salary_in_usd</th>\n",
       "      <th>remote_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3755.000000</td>\n",
       "      <td>3.755000e+03</td>\n",
       "      <td>3755.000000</td>\n",
       "      <td>3755.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2022.373635</td>\n",
       "      <td>1.906956e+05</td>\n",
       "      <td>137570.389880</td>\n",
       "      <td>46.271638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.691448</td>\n",
       "      <td>6.716765e+05</td>\n",
       "      <td>63055.625278</td>\n",
       "      <td>48.589050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2020.000000</td>\n",
       "      <td>6.000000e+03</td>\n",
       "      <td>5132.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2022.000000</td>\n",
       "      <td>1.000000e+05</td>\n",
       "      <td>95000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2022.000000</td>\n",
       "      <td>1.380000e+05</td>\n",
       "      <td>135000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2023.000000</td>\n",
       "      <td>1.800000e+05</td>\n",
       "      <td>175000.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2023.000000</td>\n",
       "      <td>3.040000e+07</td>\n",
       "      <td>450000.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         work_year        salary  salary_in_usd  remote_ratio\n",
       "count  3755.000000  3.755000e+03    3755.000000   3755.000000\n",
       "mean   2022.373635  1.906956e+05  137570.389880     46.271638\n",
       "std       0.691448  6.716765e+05   63055.625278     48.589050\n",
       "min    2020.000000  6.000000e+03    5132.000000      0.000000\n",
       "25%    2022.000000  1.000000e+05   95000.000000      0.000000\n",
       "50%    2022.000000  1.380000e+05  135000.000000      0.000000\n",
       "75%    2023.000000  1.800000e+05  175000.000000    100.000000\n",
       "max    2023.000000  3.040000e+07  450000.000000    100.000000"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "df141ecb-e5e7-41e2-a3cb-ffb86dc755f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "work_year             0\n",
       "experience_level      0\n",
       "employment_type       0\n",
       "job_title             0\n",
       "salary                0\n",
       "salary_currency       0\n",
       "salary_in_usd         0\n",
       "employee_residence    0\n",
       "remote_ratio          0\n",
       "company_location      0\n",
       "company_size          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86edab7b-ae5e-440e-bded-d3068f187a06",
   "metadata": {},
   "source": [
    "**so there is no null value in dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "7d1d59dc-9ac6-4915-8cbc-a9597760d50f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "work_year                4\n",
       "experience_level         4\n",
       "employment_type          4\n",
       "job_title               93\n",
       "salary                 815\n",
       "salary_currency         20\n",
       "salary_in_usd         1035\n",
       "employee_residence      78\n",
       "remote_ratio             3\n",
       "company_location        72\n",
       "company_size             3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_salaries.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8118268-7f33-4ea0-8fc0-9fd4a7e4a914",
   "metadata": {},
   "source": [
    "## **Exploratory Data Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe474917-d777-477b-a5c5-248bf88a59cf",
   "metadata": {},
   "source": [
    "Exploratory data analysis is import step in data analysis part. The main purpose of EDA is to extract useful informaion from\n",
    "data. It gives us information about relationship between variables in dataset. EDA consists of three parts\n",
    "\n",
    "*   Univariate Analysis\n",
    "\n",
    "*   Bivariate Analysis.\n",
    "\n",
    "*   Multivariate Analysis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8cfa516-184e-460a-aab2-a415e5d60a68",
   "metadata": {},
   "source": [
    "# **Data Visualization**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fa98043-3fd2-4c4c-ad29-19a557dfa86f",
   "metadata": {},
   "source": [
    "# **Univariate Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7716f37-6634-4e53-8484-88c2c42895d4",
   "metadata": {},
   "source": [
    "It is the analysis of data by using one variable at a time of given dataset. By plotting the graph we can understand the data in better way. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "68a5f0de-f932-4bc4-a57d-a89c59bfa476",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histograms\n",
    "sns.histplot(data = ds_salaries, x = ds_salaries['salary_in_usd'])\n",
    "plt.suptitle('Distribution of salary_in_usd', fontsize=20)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "c475a6ff-f616-413e-bb62-137d58c49767",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set up the matplotlib figure\n",
    "plt.figure(figsize=(14, 10))\n",
    "\n",
    "# Plot count plots for categorical columns\n",
    "ct_columns = [ 'experience_level', 'employment_type', 'company_size','work_year']\n",
    "\n",
    "for i, column in enumerate(ct_columns, 1):\n",
    "    plt.subplot(2, 2, i)\n",
    "    sns.countplot(x=ds_salaries[column], hue=ds_salaries[column], palette='Set2', legend=False)\n",
    "    plt.title(f'Distribution of {column}')\n",
    "    plt.xlabel(column)\n",
    "    plt.ylabel('Count')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cdd4889-01c2-4544-89b2-933d23358c31",
   "metadata": {},
   "source": [
    "*   **Company_Size:** Most of the companies medium size\n",
    "\n",
    "*   **Work_year** 2013\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfd5dc12-9b6f-41dc-963c-58284b88153d",
   "metadata": {},
   "source": [
    "# **Most of the employees from which country?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "2e4a9de0-02ce-451a-8538-277a5ba35e70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The country with the most employees is US with 3004 employees.\n"
     ]
    }
   ],
   "source": [
    "# Count the number of employees from each country\n",
    "country_counts = ds_salaries['employee_residence'].value_counts()\n",
    "\n",
    "# Find the country with the highest number of employees\n",
    "most_common_country = country_counts.idxmax()\n",
    "most_common_country_count = country_counts.max()\n",
    "\n",
    "print(f\"The country with the most employees is {most_common_country} with {most_common_country_count} employees.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b6e1906-09c1-488d-944b-d97257dc999d",
   "metadata": {},
   "source": [
    "# **Bivariate Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8c82461-d00c-4820-9bd4-538b213e6d4e",
   "metadata": {},
   "source": [
    "It is the analysis of two variables in order to check patterns and relationship between them. And also check how change in one variable effect the other\n",
    "variable. Here we will plot with the help of two variables (Columns) of dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "0e4d514e-2ae1-4d84-999e-4facc290a7a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aXfN39UqK4jtaEIYOHapXXnlFH3zwgc6fP68LFy44PCYv24ULF3Tq1CmH79Sl37OyZcvKZrNp8+bNOX4YkHTZNgC40RDsAQAOfvzxR40aNUqPPvqo3n33XTVv3lwPPvigvv/+e5UuXdqh76effqoZM2bYj5T+9ddf+uKLL3TXXXfJxcVFJUuWVJs2bfT999+rbt26uR41vlbVq1dXtWrV9MMPP2jq1KkFss6OHTvKxcVF8+fPV7NmzS7bp0WLFipVqpT27duX51PJr1WXLl00depUlSlTJsePHpfK/tFk9uzZ2rx5s3bt2qUFCxbkWN+KFSuUmZl52R9n8mvv3r364YcfHE7HX7ZsmXx9fXMcjR81apQef/xxJScnKygoSD179iywOgrS0qVLHS4F2bp1q3777Tc99thjuS7Trl07TZ8+XUuWLNHYsWPt7Z988onOnTundu3aOfR/7LHHNGXKFPXp00cHDhzQq6++WqBjKKzvqIeHR4EewQ8JCVHPnj01b948paenq2vXrqpYseJl+y5dulSjRo2yv162bJkk2e/M36VLF73yyiv63//+p169ehVYjQBgJQR7ALiJ/PTTT7pw4UKO9ltuuUXlypXTuXPn1KtXL1WuXFnz5s2Tu7u7PvzwQzVs2FD9+/fXZ5995rCci4uLOnTooHHjxikrK0uvvvqqUlJS9Pzzz9v7vPHGG7rzzjt11113aejQoQoPD9dff/2lQ4cO6YsvvrBfo3ytFixYoM6dOysiIkKRkZEqX768Tp8+rf379+u7777TRx99dE3rCw8P11NPPaUXX3xRqamp9sd/7du3T3/++aeef/55+fj4aM6cOerXr59Onz6tBx54QIGBgTp58qR++OEHnTx5UvPnz7/qtn788Ud9/PHHOdobN26sMWPG6JNPPlHLli01duxY1a1bV1lZWfr999+1bt06jR8/3iGgDxgwQK+++qp69+4tLy+vHNcoP/TQQ1q6dKnuvvtujR49WnfccYfc3Nx07NgxbdiwQffee6/uu+++a3qvJCk0NFTdunXTlClTFBISoiVLlig2NlavvvqqSpYs6dD3kUce0aRJk/T111/rmWeeuaYfeI4fP57jPgyS5Ofn53BmQkHYtWuXHnvsMfXs2VNHjx7V008/rfLly2vYsGG5LtOhQwdFRERo4sSJSklJUYsWLbRnzx4999xzatCggfr27evQv1SpUnr00Uc1f/58VapUSV27di3QMRTUd/RSderU0caNG/XFF18oJCREvr6+132mwejRo+3f5aioqMv2cXd31+uvv66zZ8+qcePG2rp1q1566SV17txZd955p6R/fswYPHiw+vfvr127dqlly5by9vZWQkKCtmzZojp16mjo0KHXVSsAFHvOvXcfAKAoXOmu+LroEVyPPPKIKVmyZI5HWX300UdGkv3u5tl3d3/11VfN888/bypUqGDc3d1NgwYNzNq1a3NsPz4+3gwYMMCUL1/euLm5mXLlypnmzZs73G38cnfPvnTexXfFN+afR4j16tXLBAYGGjc3NxMcHGzatm1r3n777Rxjv/Qu87mtc9GiRaZx48bG09PT+Pj4mAYNGjg8Ps8YYzZt2mTuueceExAQYNzc3Ez58uXNPffcc9naL30frvQ5ZG/n7Nmz5plnnjHVq1c37u7u9scFjh079rKP7mrevLmRlOsd/TMyMsxrr71m6tWrZx/XbbfdZoYMGWIOHjxo73ctd8W/5557zMcff2xq1apl3N3dTXh4uJk5c2auy0RGRhpXV1dz7Nixq64/25Xeq4sfl9avXz/j7e2dY/lWrVqZWrVq5Vp/tuzvyLp160zfvn1NqVKl7I93u/j9yd7WxXfFN+afO/1PnDjRVKpUybi5uZmQkBAzdOhQh8fkXWzjxo1GknnllVdyHffw4cMd2nJ7okJu+01evqPZd8U/efKkw7LZ70d8fLy9bffu3aZFixamZMmSRlKevidXqi9beHi4qVGjxmXnZX+ue/bsMa1btzZeXl4mICDADB061OGJAdk++OAD06RJE+Pt7W28vLzMLbfcYh599FGHRxsCwI3KZsz/v00tAAB5dOTIEVWuXFkzZszI9eZ1QLb09HSFh4frzjvv1IcffujscnKIjo5W//79tXPnzjzdqO96jR8/XvPnz9fRo0dz3BjuZrJnzx7Vq1dPb7311mXPioiMjNTHH3+ss2fPOqE6ALAWTsUHAACF4uTJkzpw4ICioqJ0/Phx/etf/3J2SU61fft2/fLLL5o3b56GDBly04b6w4cP67ffftNTTz2lkJCQHI8KBABcO4I9AAAoFGvWrFH//v0VEhKiefPm5fkRdzeqZs2aqWTJkurSpYteeuklZ5fjNC+++KIWL16sGjVq6KOPPspxTwYAwLXjVHwAAAAAACyshLMLAAAAAAAA+UewBwAAAADAwgj2AAAAAABYGDfPy6OsrCz98ccf8vX1lc1mc3Y5AAAAAIAbnDFGf/31l0JDQ1WiRO7H5Qn2efTHH38oLCzM2WUAAAAAAG4yR48eVYUKFXKdT7DPI19fX0n/vKF+fn5OrgYAAAAAcKNLSUlRWFiYPY/mhmCfR9mn3/v5+RHsAQAAAABF5mqXg3PzPAAAAAAALIxgDwAAAACAhRHsAQAAAACwMK6xBwAAAIBCZozRhQsXlJmZ6exSUIy4uLjI1dX1uh+pTrAHAAAAgEKUnp6uhIQE/f33384uBcVQyZIlFRISInd393yvg2APAAAAAIUkKytL8fHxcnFxUWhoqNzd3a/76CxuDMYYpaen6+TJk4qPj1e1atVUokT+rpYn2AMAAABAIUlPT1dWVpbCwsJUsmRJZ5eDYsbLy0tubm767bfflJ6eLk9Pz3yth5vnAQAAAEAhy++RWNz4CuK7wbcLAAAAAAALI9gDAAAAAGBhBHsAAAAAuMmEh4dr9uzZzi4DBYRgDwAAAACwrClTpqh+/frXtIzNZtNnn31WKPU4A8EeAAAAAAALI9gDAAAAgJMYYzR9+nRVqVJFXl5eqlevnj7++GNJ0saNG2Wz2bR27Vo1aNBAXl5eatu2rU6cOKH//Oc/qlGjhvz8/PTwww/r77//tq+zdevWGjFihEaMGKFSpUqpTJkyeuaZZ2SMybWO33//Xffee698fHzk5+enXr166fjx45KkI0eOqESJEtq1a5fDMnPmzFGlSpVkjMl3rVca/8Xvwfr163X77berZMmSat68uQ4cOCBJio6O1vPPP68ffvhBNptNNptN0dHRV3zPw8PDJUn33XefbDabwsPDr2mMa9asUb169eTp6akmTZroxx9/dFhm69atatmypby8vBQWFqZRo0bp3LlzV6zpehHsAQAAAMBJnnnmGUVFRWn+/Pnau3evxo4dq0ceeUSbNm2y95kyZYrmzp2rrVu36ujRo+rVq5dmz56tZcuWac2aNYqNjdWcOXMc1rtw4UK5urrq22+/1ZtvvqlZs2bpvffeu2wNxhh1795dp0+f1qZNmxQbG6vDhw/rwQcflPRPEG7fvr2ioqIclouKilJkZKRsNlu+a83L+CXp6aef1uuvv65du3bJ1dVVAwYMkCQ9+OCDGj9+vGrVqqWEhAQlJCTY687Nzp077fUnJCRo586d1zTGJ554Qq+99pp27typwMBAdevWTRkZGZKkH3/8UREREerRo4f27NmjlStXasuWLRoxYsQVa7puBnmSnJxsJJnk5GRnlwIAAADAIlJTU82+fftMampqjnlnz541np6eZuvWrQ7tAwcONA8//LDZsGGDkWS++uor+7xp06YZSebw4cP2tiFDhpiIiAj761atWpkaNWqYrKwse9vEiRNNjRo17K8rVapkZs2aZYwxZt26dcbFxcX8/vvv9vl79+41ksyOHTuMMcasXLnSlC5d2pw/f94YY8zu3buNzWYz8fHxxhiTr1qvNv7c1rtmzRojyf6ePvfcc6ZevXo53t8rkWRWrVrl0JbXMa5YscK+zKlTp4yXl5dZuXKlMcaYvn37msGDBzusd/PmzaZEiRKX/Q4Yc+XvSF5zKEfsAQAAAMAJ9u3bp/Pnz6tDhw7y8fGxT4sWLdLhw4ft/erWrWv/OygoSCVLllSVKlUc2k6cOOGw7qZNmzocZW7WrJkOHjyozMzMHHXs379fYWFhCgsLs7fVrFlTpUqV0v79+yVJ3bt3l6urq1atWiVJ+uCDD9SmTRv7ae35qTWv4790vSEhIZKUY8zXK69jbNasmf3vgIAAVa9e3f4+xcXFKTo62mE8ERERysrKUnx8fIHWezGnBvtp06apcePG8vX1VWBgoLp3726/ViJb9mkPF09NmzZ16JOWlqaRI0eqbNmy8vb2Vrdu3XTs2DGHPklJSerbt6/8/f3l7++vvn376syZM4U9RAAAAAC4rKysLEnSmjVrtHv3bvu0b98+h+vM3dzc7H/bbDaH19lt2evKD2OMw48Al2t3d3dX3759FRUVpfT0dC1btsx+OvzFrqXWvI7/cuu9ePmCktcxXs7FNQ0ZMsRhPD/88IMOHjyoW265pUDrvZhroa05DzZt2qThw4ercePGunDhgp5++ml17NhR+/btk7e3t71fp06dHK51cHd3d1jPmDFj9MUXX2jFihUqU6aMxo8fry5duiguLk4uLi6SpN69e+vYsWOKiYmRJA0ePFh9+/bVF198UQQjBQAAAABHNWvWlIeHh37//Xe1atUqx/xLj1pfi+3bt+d4Xa1aNXs+urSO33//XUePHrUftd+3b5+Sk5NVo0YNe7/HHntMtWvX1rx585SRkaEePXrku77s7V5p/Hnl7u5+2TMRrsTNze2yy+RljNu3b1fFihUl/XMA+ZdfftFtt90mSWrYsKH27t2rqlWr5mMk+efUYJ8dsrNFRUUpMDBQcXFxatmypb3dw8NDwcHBl11HcnKy3n//fS1evFjt27eXJC1ZskRhYWH66quvFBERof379ysmJkbbt29XkyZNJEnvvvuumjVrpgMHDqh69eqFNMK8a/TEImeXkG9xMx51dgkAAACA5fj6+mrChAkaO3assrKydOeddyolJUVbt26Vj4+PKlWqlO91Hz16VOPGjdOQIUP03Xffac6cOXr99dcv27d9+/aqW7eu+vTpo9mzZ+vChQsaNmyYWrVqpdtvv93er0aNGmratKkmTpyoAQMGyMvLK9/1SVcff79+/fK0nvDwcMXHx2v37t2qUKGCfH195eHhcdVl1q9frxYtWsjDw0OlS5fO8xhfeOEFlSlTRkFBQXr66adVtmxZde/eXZI0ceJENW3aVMOHD9egQYPk7e2t/fv3X/YGhwWpWF1jn5ycLOmf6xQutnHjRgUGBurWW2/VoEGDHK6liIuLU0ZGhjp27GhvCw0NVe3atbV161ZJ0rZt2+Tv728P9dI/15z4+/vb+1wqLS1NKSkpDhMAAAAAFKQXX3xRzz77rKZNm6YaNWooIiJCX3zxhSpXrnxd63300UeVmpqqO+64Q8OHD9fIkSM1ePDgy/a12Wz67LPPVLp0abVs2VLt27dXlSpVtHLlyhx9Bw4cqPT09Dyfon41BTH++++/X506dVKbNm1Urlw5LV++/KrLvP7664qNjVVYWJgaNGjgMO9qY3zllVc0evRoNWrUSAkJCfr888/tZ5XXrVtXmzZt0sGDB3XXXXepQYMGmjx5sv2+AIXF9v/vCOh0xhjde++9SkpK0ubNm+3tK1eutP9aFR8fr8mTJ+vChQuKi4uTh4eHli1bpv79+ystLc1hfR07dlTlypW1YMECTZ06VdHR0frll18c+tx6663q37+/Jk2alKOeKVOm6Pnnn8/RnpycLD8/vwIa9f/hiD0AAABw4zl//rzi4+NVuXJleXp6Fsk2W7durfr162v27NkFvu6XX35ZK1asyPHs9htJbmPcuHGj2rRpo6SkJJUqVarAtnel70hKSor8/f2vmkOdeir+xUaMGKE9e/Zoy5YtDu0XP4Owdu3auv3221WpUiWtWbPmitd0XHoDiKvdDOJSkyZN0rhx4+yvU1JSHO4SCQAAAAA3i7Nnz2r//v2aM2eOXnzxRWeXUyisPMZicSr+yJEj9fnnn2vDhg2qUKHCFfuGhISoUqVKOnjwoCQpODhY6enpSkpKcuh34sQJBQUF2fscP348x7pOnjxp73MpDw8P+fn5OUwAAAAAcDMaMWKE7rzzTrVq1arATsMvLEuXLnV43NzFU61atXJdzkpjvJRTj9gbYzRy5EitWrVKGzduzNN1FKdOndLRo0ft1yg0atRIbm5uio2NVa9evSRJCQkJ+umnnzR9+nRJ/zxnMDk5WTt27NAdd9whSfr222+VnJys5s2bF9LoAAAAAKDobdy4scDXGR0drejo6AJfb2Ho1q2bw/3VLnbp4/cudrUxtm7dWsXkSvYcnBrshw8frmXLlunf//63fH19lZiYKEny9/eXl5eXzp49qylTpuj+++9XSEiIjhw5oqeeekply5bVfffdZ+87cOBAjR8/XmXKlFFAQIAmTJigOnXq2O+SX6NGDXXq1EmDBg3SggULJP3zuLsuXboUizviAwAAAAAKhq+vr3x9fZ1dRpFyarCfP3++pH9++bhYVFSUIiMj5eLioh9//FGLFi3SmTNnFBISojZt2mjlypUOH9SsWbPk6uqqXr16KTU1Ve3atVN0dLTDMxqXLl2qUaNG2e+e361bN82dO7fwBwkAAAAAQCFy+qn4V+Ll5aW1a9dedT2enp6aM2fOFZ8LGBAQoCVLllxzjQAAAAAAFGfF4uZ5AAAAAAAgfwj2AAAAAABYGMEeAAAAAAALc+o19gAAAAAA52r0xKIi21bcjEeLbFs3E47YAwAAAACKrcjISNlstmuervRM+hsNR+wBAAAAAMVap06dFBUVZX+dnp4uFxcX+yPOR48erZSUFIc+/v7+RV6nsxDsAQAAAADFmoeHh4KDg3Od7+XlpbS0tCv2uZFxKj4AAAAAABZGsAcAAAAAFGurV6+Wj4+PferZs6ezSypWOBUfAAAAAFCstWnTRvPnz7e/9vb2dmI1xQ/BHgAAAABQrHl7e6tq1arOLqPY4lR8AAAAAAAsjGAPAAAAAICFcSo+AAAAANzE4mY86uwScJ0I9gAAAACAYis6OrpA+tzIOBUfAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALc3V2AQAAAAAA5/n9hTpFtq2Kz/5YZNu6mXDEHgAAAABQrCUmJmrkyJGqUqWKPDw8FBYWpq5du2r9+vWy2WxXnKKjo51dfqHjiD0AAAAAoNg6cuSIWrRooVKlSmn69OmqW7euMjIytHbtWg0aNEgJCQn2vqNHj1ZKSoqioqLsbf7+/s4ou0gR7AEAAAAAxdawYcNks9m0Y8cOeXt729tr1aqlAQMGqFSpUvY2Ly8vpaWlKTg42AmVOg+n4gMAAAAAiqXTp08rJiZGw4cPdwj12S4O9Tczgj0AAAAAoFg6dOiQjDG67bbbnF1KsUawBwAAAAAUS8YYSZLNZnNyJcUbwR4AAAAAUCxVq1ZNNptN+/fvd3YpxRrBHgAAAABQLAUEBCgiIkJvvfWWzp07l2P+mTNnir6oYohgDwAAAAAotubNm6fMzEzdcccd+uSTT3Tw4EHt379fb775ppo1a+bs8ooFHncHAAAAADexis/+6OwSrqhy5cr67rvv9PLLL2v8+PFKSEhQuXLl1KhRI82fP9/Z5RULBHsAAAAAQLEWEhKiuXPnau7cuVfsFx0dXTQFFTOcig8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIW5OrsAAAAAAIDztJjTosi29c3Ib4psWzcTjtgDAAAAAIqtyMhI2Wy2HNOhQ4cUGRmp7t27O7tEp+OIPQAAAACgWOvUqZOioqIc2sqVK+ekaoofgj0AAAAAoFjz8PBQcHCws8sotjgVHwAAAAAACyPYAwAAAACKtdWrV8vHx8c+9ezZ09klFSucig8AAAAAKNbatGmj+fPn2197e3s7sZrih2APAAAAACjWvL29VbVqVWeXUWxxKj4AAAAAABbGEXsAAAAAgGUlJydr9+7dDm0BAQGqWLGicwpyAoI9AAAAANzEvhn5jbNLuC4bN25UgwYNHNr69eun6Oho5xTkBAR7AAAAAECxdaWAHh0dfVMF+NxwjT0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABbm6uwCAAAAAADOs6llqyLbVquvNxXZtm4mHLEHAAAAABRbkZGRstlsstlscnNzU5UqVTRhwgQ98cQT9vbcpiNHjji7/CJBsAcAAAAAFGudOnVSQkKCfv31V7300kuaN2+e/vzzTyUkJNinChUq6IUXXnBoCwsLc3bpRYJT8QEAAAAAxZqHh4eCg4MlSb1799aGDRu0evVqRUVF2fu4uLjI19fX3u9mwhF7AAAAAICleHl5KSMjw9llFBsEewAAAACAZezYsUPLli1Tu3btnF1KscGp+AAAAACAYm316tXy8fHRhQsXlJGRoXvvvVdz5sxxdlnFBsEeAAAAAFCstWnTRvPnz5ebm5tCQ0Pl5ubm7JKKFYI9AAAAAKBY8/b2VtWqVZ1dRrHFNfYAAAAAAFiYU4/YT5s2TZ9++ql+/vlneXl5qXnz5nr11VdVvXp1ex9jjJ5//nm98847SkpKUpMmTfTWW2+pVq1a9j5paWmaMGGCli9frtTUVLVr107z5s1ThQoV7H2SkpI0atQoff7555Kkbt26ac6cOSpVqlSRjRcAAAAAiptWX29ydgm4Tk49Yr9p0yYNHz5c27dvV2xsrC5cuKCOHTvq3Llz9j7Tp0/XzJkzNXfuXO3cuVPBwcHq0KGD/vrrL3ufMWPGaNWqVVqxYoW2bNmis2fPqkuXLsrMzLT36d27t3bv3q2YmBjFxMRo9+7d6tu3b5GOFwAAAABwbaKjo/XZZ59dtd+RI0c0ZsyYQq+nOHLqEfuYmBiH11FRUQoMDFRcXJxatmwpY4xmz56tp59+Wj169JAkLVy4UEFBQVq2bJmGDBmi5ORkvf/++1q8eLHat28vSVqyZInCwsL01VdfKSIiQvv371dMTIy2b9+uJk2aSJLeffddNWvWTAcOHHA4QwAAAAAAACspVtfYJycnS5ICAgIkSfHx8UpMTFTHjh3tfTw8PNSqVStt3bpVkhQXF6eMjAyHPqGhoapdu7a9z7Zt2+Tv728P9ZLUtGlT+fv72/tcKi0tTSkpKQ4TAAAAAADFTbEJ9sYYjRs3Tnfeeadq164tSUpMTJQkBQUFOfQNCgqyz0tMTJS7u7tKly59xT6BgYE5thkYGGjvc6lp06bJ39/fPoWFhV3fAAEAAAAAKATFJtiPGDFCe/bs0fLly3PMs9lsDq+NMTnaLnVpn8v1v9J6Jk2apOTkZPt09OjRvAwDAAAAAIAiVSyC/ciRI/X5559rw4YNDneyDw4OlqQcR9VPnDhhP4ofHBys9PR0JSUlXbHP8ePHc2z35MmTOc4GyObh4SE/Pz+HCQAAAADywxjj7BJQTBXEd8Opwd4YoxEjRujTTz/Vf//7X1WuXNlhfuXKlRUcHKzY2Fh7W3p6ujZt2qTmzZtLkho1aiQ3NzeHPgkJCfrpp5/sfZo1a6bk5GTt2LHD3ufbb79VcnKyvQ8AAAAAFDQ3NzdJ0t9//+3kSlBcZX83sr8r+eHUu+IPHz5cy5Yt07///W/5+vraj8z7+/vLy8tLNptNY8aM0dSpU1WtWjVVq1ZNU6dOVcmSJdW7d29734EDB2r8+PEqU6aMAgICNGHCBNWpU8d+l/waNWqoU6dOGjRokBYsWCBJGjx4sLp06cId8QEAAAAUGhcXF5UqVUonTpyQJJUsWfKqlxXj5mCM0d9//60TJ06oVKlScnFxyfe6nBrs58+fL0lq3bq1Q3tUVJQiIyMlSU8++aRSU1M1bNgwJSUlqUmTJlq3bp18fX3t/WfNmiVXV1f16tVLqampateunaKjox3emKVLl2rUqFH2u+d369ZNc+fOLdwBAgAAALjpZV9inB3ugYuVKlXK/h3JL5vhYo88SUlJkb+/v5KTkwvlevtGTywq8HUWlbgZjzq7BAAAAKDYy8zMVEZGhrPLQDHi5uZ2xSP1ec2hTj1iDwAAAAA3CxcXl+s63RrITbG4Kz4AAAAAAMgfgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWJhTg/3XX3+trl27KjQ0VDabTZ999pnD/MjISNlsNoepadOmDn3S0tI0cuRIlS1bVt7e3urWrZuOHTvm0CcpKUl9+/aVv7+//P391bdvX505c6aQRwcAAAAAQOFzarA/d+6c6tWrp7lz5+bap1OnTkpISLBPX375pcP8MWPGaNWqVVqxYoW2bNmis2fPqkuXLsrMzLT36d27t3bv3q2YmBjFxMRo9+7d6tu3b6GNCwAAAACAouLqzI137txZnTt3vmIfDw8PBQcHX3ZecnKy3n//fS1evFjt27eXJC1ZskRhYWH66quvFBERof379ysmJkbbt29XkyZNJEnvvvuumjVrpgMHDqh69eoFOygAAAAAAIpQsb/GfuPGjQoMDNStt96qQYMG6cSJE/Z5cXFxysjIUMeOHe1toaGhql27trZu3SpJ2rZtm/z9/e2hXpKaNm0qf39/e5/LSUtLU0pKisMEAAAAAEBxU6yDfefOnbV06VL997//1euvv66dO3eqbdu2SktLkyQlJibK3d1dpUuXdlguKChIiYmJ9j6BgYE51h0YGGjvcznTpk2zX5Pv7++vsLCwAhwZAAAAAAAFw6mn4l/Ngw8+aP+7du3auv3221WpUiWtWbNGPXr0yHU5Y4xsNpv99cV/59bnUpMmTdK4cePsr1NSUgj3AAAAAIBip1gfsb9USEiIKlWqpIMHD0qSgoODlZ6erqSkJId+J06cUFBQkL3P8ePHc6zr5MmT9j6X4+HhIT8/P4cJAAAAAIDixlLB/tSpUzp69KhCQkIkSY0aNZKbm5tiY2PtfRISEvTTTz+pefPmkqRmzZopOTlZO3bssPf59ttvlZycbO8DAAAAAIBVOfVU/LNnz+rQoUP21/Hx8dq9e7cCAgIUEBCgKVOm6P7771dISIiOHDmip556SmXLltV9990nSfL399fAgQM1fvx4lSlTRgEBAZowYYLq1Kljv0t+jRo11KlTJw0aNEgLFiyQJA0ePFhdunThjvgAAAAAAMtzarDftWuX2rRpY3+dfU17v379NH/+fP34449atGiRzpw5o5CQELVp00YrV66Ur6+vfZlZs2bJ1dVVvXr1Umpqqtq1a6fo6Gi5uLjY+yxdulSjRo2y3z2/W7dumjt3bhGNEgAAAACAwmMzxhhnF2EFKSkp8vf3V3JycqFcb9/oiUUFvs6iEjfjUWeXAAAAAAA3nLzmUEtdYw8AAAAAABwR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACwsX8G+bdu2OnPmTI72lJQUtW3b9nprAgAAAAAAeZSvYL9x40alp6fnaD9//rw2b9583UUBAAAAAIC8cb2Wznv27LH/vW/fPiUmJtpfZ2ZmKiYmRuXLly+46gAAAAAAwBVdU7CvX7++bDabbDbbZU+59/Ly0pw5cwqsOAAAAAAAcGXXFOzj4+NljFGVKlW0Y8cOlStXzj7P3d1dgYGBcnFxKfAiAQAAAADA5V1TsK9UqZIkKSsrq1CKAQAAAAAA1+aagv3FfvnlF23cuFEnTpzIEfSfffbZ6y4MAAAAAABcXb6C/bvvvquhQ4eqbNmyCg4Ols1ms8+z2WwEewAAAAAAiki+gv1LL72kl19+WRMnTizoegAAAAAAwDXI13Psk5KS1LNnz4KuBQAAAAAAXKN8BfuePXtq3bp1BV0LAAAAAAC4Rvk6Fb9q1aqaPHmytm/frjp16sjNzc1h/qhRowqkOAAAAAAAcGX5CvbvvPOOfHx8tGnTJm3atMlhns1mI9gDAAAAAFBE8hXs4+PjC7oOAAAAAACQD/m6xh4AAAAAABQP+TpiP2DAgCvO/+CDD/JVDAAAAAAAuDb5CvZJSUkOrzMyMvTTTz/pzJkzatu2bYEUBgAAAAAAri5fwX7VqlU52rKysjRs2DBVqVLluosCAAAAAAB5U2DX2JcoUUJjx47VrFmzCmqVAAAAAADgKgr05nmHDx/WhQsXCnKVAAAAAADgCvJ1Kv64ceMcXhtjlJCQoDVr1qhfv34FUhgAAAAAALi6fAX777//3uF1iRIlVK5cOb3++utXvWM+AAAAAAAoOPkK9hs2bCjoOgAAAAAAQD7kK9hnO3nypA4cOCCbzaZbb71V5cqVK6i6AAAAAABAHuTr5nnnzp3TgAEDFBISopYtW+quu+5SaGioBg4cqL///rugawQAAAAAALnIV7AfN26cNm3apC+++EJnzpzRmTNn9O9//1ubNm3S+PHjC7pGAAAAAACQi3ydiv/JJ5/o448/VuvWre1td999t7y8vNSrVy/Nnz+/oOoDAAAAAABXkK8j9n///beCgoJytAcGBnIqPgAAAAAARShfwb5Zs2Z67rnndP78eXtbamqqnn/+eTVr1qzAigMAAAAAAFeWr1PxZ8+erc6dO6tChQqqV6+ebDabdu/eLQ8PD61bt66gawQAAAAAALnIV7CvU6eODh48qCVLlujnn3+WMUYPPfSQ+vTpIy8vr4KuEQAAAAAA5CJfwX7atGkKCgrSoEGDHNo/+OADnTx5UhMnTiyQ4gAAAAAAwJXl6xr7BQsW6LbbbsvRXqtWLb399tvXXRQAAAAAAMibfAX7xMREhYSE5GgvV66cEhISrrsoAAAAAACQN/kK9mFhYfrmm29ytH/zzTcKDQ297qIAAAAAAEDe5Osa+8cee0xjxoxRRkaG2rZtK0lav369nnzySY0fP75ACwQAAAAAALnLV7B/8skndfr0aQ0bNkzp6emSJE9PT02cOFGTJk0q0AIBAAAAAEDu8hXsbTabXn31VU2ePFn79++Xl5eXqlWrJg8Pj4KuDwAAAAAAXEG+gn02Hx8fNW7cuKBqAQAAAAAA1yhfN88DAAAAAADFA8EeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCnBvuvv/5aXbt2VWhoqGw2mz777DOH+cYYTZkyRaGhofLy8lLr1q21d+9ehz5paWkaOXKkypYtK29vb3Xr1k3Hjh1z6JOUlKS+ffvK399f/v7+6tu3r86cOVPIowMAAAAAoPA5NdifO3dO9erV09y5cy87f/r06Zo5c6bmzp2rnTt3Kjg4WB06dNBff/1l7zNmzBitWrVKK1as0JYtW3T27Fl16dJFmZmZ9j69e/fW7t27FRMTo5iYGO3evVt9+/Yt9PEBAAAAAFDYbMYY4+wiJMlms2nVqlXq3r27pH+O1oeGhmrMmDGaOHGipH+OzgcFBenVV1/VkCFDlJycrHLlymnx4sV68MEHJUl//PGHwsLC9OWXXyoiIkL79+9XzZo1tX37djVp0kSStH37djVr1kw///yzqlevftl60tLSlJaWZn+dkpKisLAwJScny8/Pr8DH3+iJRQW+zqISN+NRZ5cAAAAAADeclJQU+fv7XzWHFttr7OPj45WYmKiOHTva2zw8PNSqVStt3bpVkhQXF6eMjAyHPqGhoapdu7a9z7Zt2+Tv728P9ZLUtGlT+fv72/tczrRp0+yn7vv7+yssLKyghwgAAAAAwHUrtsE+MTFRkhQUFOTQHhQUZJ+XmJgod3d3lS5d+op9AgMDc6w/MDDQ3udyJk2apOTkZPt09OjR6xoPAAAAAACFwdXZBVyNzWZzeG2MydF2qUv7XK7/1dbj4eEhDw+Pa6wWAAAAAICiVWyP2AcHB0tSjqPqJ06csB/FDw4OVnp6upKSkq7Y5/jx4znWf/LkyRxnAwAAAAAAYDXFNthXrlxZwcHBio2Ntbelp6dr06ZNat68uSSpUaNGcnNzc+iTkJCgn376yd6nWbNmSk5O1o4dO+x9vv32WyUnJ9v7AAAAAABgVU49Ff/s2bM6dOiQ/XV8fLx2796tgIAAVaxYUWPGjNHUqVNVrVo1VatWTVOnTlXJkiXVu3dvSZK/v78GDhyo8ePHq0yZMgoICNCECRNUp04dtW/fXpJUo0YNderUSYMGDdKCBQskSYMHD1aXLl1yvSM+AAAAAABW4dRgv2vXLrVp08b+ety4cZKkfv36KTo6Wk8++aRSU1M1bNgwJSUlqUmTJlq3bp18fX3ty8yaNUuurq7q1auXUlNT1a5dO0VHR8vFxcXeZ+nSpRo1apT97vndunXT3Llzi2iUAAAAAAAUnmLzHPviLq/PD8wvnmMPAAAAALiY5Z9jDwAAAAAAro5gDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCXJ1dAABYQaMnFjm7hHyJm/Gos0sAAABAIeOIPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACyMYA8AAAAAgIUR7AEAAAAAsDCCPQAAAAAAFkawBwAAAADAwgj2AAAAAABYGMEeAAAAAAALI9gDAAAAAGBhBHsAAAAAACysWAf7KVOmyGazOUzBwcH2+cYYTZkyRaGhofLy8lLr1q21d+9eh3WkpaVp5MiRKlu2rLy9vdWtWzcdO3asqIcCAAAAAEChKNbBXpJq1aqlhIQE+/Tjjz/a502fPl0zZ87U3LlztXPnTgUHB6tDhw7666+/7H3GjBmjVatWacWKFdqyZYvOnj2rLl26KDMz0xnDAQAAAACgQLk6u4CrcXV1dThKn80Yo9mzZ+vpp59Wjx49JEkLFy5UUFCQli1bpiFDhig5OVnvv/++Fi9erPbt20uSlixZorCwMH311VeKiIgo0rEAAAAAAFDQiv0R+4MHDyo0NFSVK1fWQw89pF9//VWSFB8fr8TERHXs2NHe18PDQ61atdLWrVslSXFxccrIyHDoExoaqtq1a9v75CYtLU0pKSkOEwAAAAAAxU2xDvZNmjTRokWLtHbtWr377rtKTExU8+bNderUKSUmJkqSgoKCHJYJCgqyz0tMTJS7u7tKly6da5/cTJs2Tf7+/vYpLCysAEcGAAAAAEDBKNbBvnPnzrr//vtVp04dtW/fXmvWrJH0zyn32Ww2m8MyxpgcbZfKS59JkyYpOTnZPh09ejSfowAAAAAAoPAU62B/KW9vb9WpU0cHDx60X3d/6ZH3EydO2I/iBwcHKz09XUlJSbn2yY2Hh4f8/PwcJgAAAAAAihtLBfu0tDTt379fISEhqly5soKDgxUbG2ufn56erk2bNql58+aSpEaNGsnNzc2hT0JCgn766Sd7HwAAAAAArKxY3xV/woQJ6tq1qypWrKgTJ07opZdeUkpKivr16yebzaYxY8Zo6tSpqlatmqpVq6apU6eqZMmS6t27tyTJ399fAwcO1Pjx41WmTBkFBARowoQJ9lP7AQAAAACwumId7I8dO6aHH35Yf/75p8qVK6emTZtq+/btqlSpkiTpySefVGpqqoYNG6akpCQ1adJE69atk6+vr30ds2bNkqurq3r16qXU1FS1a9dO0dHRcnFxcdawAAAAAAAoMDZjjHF2EVaQkpIif39/JScnF8r19o2eWFTg6ywqcTMedXYJQKGz6j7K/gkAAGBdec2hlrrGHgAAAAAAOCLYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFuTq7AAAAgOvR6IlFzi4h3+JmPOrsEgAANwCO2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAtzdXYBAAAAAG5cjZ5Y5OwS8iVuxqPOLgHIM47YAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAACyPYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWNhNFeznzZunypUry9PTU40aNdLmzZudXRIAAAAAANfF1dkFFJWVK1dqzJgxmjdvnlq0aKEFCxaoc+fO2rdvnypWrOjs8gAAAFAENrVs5ewS8qXV15ucXQKAYuymOWI/c+ZMDRw4UI899phq1Kih2bNnKywsTPPnz3d2aQAAAAAA5NtNccQ+PT1dcXFx+te//uXQ3rFjR23duvWyy6SlpSktLc3+Ojk5WZKUkpJSKDVmpqUWynqLwt6najq7hHwZUMrX2SXkW+zjsc4u4aZj1X3UqvunZN199LnPrPtP650x/3F2Cfli1f1Tsu4+atX9U5Keu2DNfbSw/h+0KFh1H7Xq/ilJYf/a7uwSUECy931jzBX7WfO/bNfozz//VGZmpoKCghzag4KClJiYeNllpk2bpueffz5He1hYWKHUaGW1nV3ATch/or+zS4BFsH8WvXucXcD18Oe/LUWNfbToWXYfZf8scpbeP6fxfbnR/PXXX/K/wn8Hbopgn81mszm8NsbkaMs2adIkjRs3zv46KytLp0+fVpkyZXJdBtaRkpKisLAwHT16VH5+fs4uB8Al2EeB4ov9Eyje2EdvLMYY/fXXXwoNDb1iv5si2JctW1YuLi45js6fOHEix1H8bB4eHvLw8HBoK1WqVGGVCCfx8/PjP3hAMcY+ChRf7J9A8cY+euO40pH6bDfFzfPc3d3VqFEjxcY6XpccGxur5s2bO6kqAAAAAACu301xxF6Sxo0bp759++r2229Xs2bN9M477+j333/X448/7uzSAAAAAADIt5sm2D/44IM6deqUXnjhBSUkJKh27dr68ssvValSJWeXBifw8PDQc889l+NyCwDFA/soUHyxfwLFG/vozclmrnbffAAAAAAAUGzdFNfYAwAAAABwoyLYAwAAAABgYQR7AAAAAAAsjGAPAAAAAICFEexxQztx4oSGDBmiihUrysPDQ8HBwYqIiNC2bdskSeHh4bLZbDmmV155xcmVAzeHyMhI2Wy2yz56dNiwYbLZbIqMjLT37d69e9EWCNyksvfNS6dOnTpJ+r9/P7dv3+6w3JgxY9S6dWsnVAzcXK60j/7xxx8KCAjQm2++6bDMt99+Kzc3N8XGxjqpahSmm+Zxd7g53X///crIyNDChQtVpUoVHT9+XOvXr9fp06ftfV544QUNGjTIYTlfX9+iLhW4aYWFhWnFihWaNWuWvLy8JEnnz5/X8uXLVbFiRSdXB9y8OnXqpKioKIe2ix+f5enpqYkTJ2rTpk1FXRoA5b6Pli5dWm+++aaGDBmizp07q1q1akpNTVW/fv302GOPqUOHDk6qGIWJYI8b1pkzZ7RlyxZt3LhRrVq1kiRVqlRJd9xxh0M/X19fBQcHO6NEAJIaNmyoX3/9VZ9++qn69OkjSfr0008VFhamKlWqOLk64OaVfaZbboYMGaL58+fryy+/1N13312ElQGQrryPPvLII/r0008VGRmpzZs3a9KkSUpPT9eMGTOKuEoUFU7Fxw3Lx8dHPj4++uyzz5SWlubscgBcQf/+/R2OOnzwwQcaMGCAEysCcDXh4eF6/PHHNWnSJGVlZTm7HACXePvtt3Xw4EH16dNHc+fOVXR0tHx8fJxdFgoJwR43LFdXV0VHR2vhwoUqVaqUWrRooaeeekp79uxx6Ddx4kT7jwDZ08aNG51TNHCT6tu3r7Zs2aIjR47ot99+0zfffKNHHnnE2WUBN7XVq1fn+PfxxRdfdOjzzDPPKD4+XkuXLnVSlcDN62r7aGBgoF588UWtWLFCgwcPVsuWLZ1YLQobp+Ljhnb//ffrnnvu0ebNm7Vt2zbFxMRo+vTpeu+99+w35HriiSfsf2crX7580RcL3MTKli2re+65RwsXLpQxRvfcc4/Kli3r7LKAm1qbNm00f/58h7aAgACH1+XKldOECRP07LPP6sEHHyzK8oCb3tX20czMTC1cuFAlS5bU9u3bdeHCBbm6Ev9uVHyyuOF5enqqQ4cO6tChg5599lk99thjeu655+xhvmzZsqpatapziwSgAQMGaMSIEZKkt956y8nVAPD29s7Tv4/jxo3TvHnzNG/evCKoCkC2q+2jr732mg4ePKidO3eqbdu2mjp1qp599tkirBBFiVPxcdOpWbOmzp075+wyAFyiU6dOSk9PV3p6uiIiIpxdDoA88vHx0eTJk/Xyyy8rJSXF2eUAkLR3714999xzmj9/vmrWrKm3335bL730Uo5LUnHj4Ig9blinTp1Sz549NWDAANWtW1e+vr7atWuXpk+frnvvvdfe76+//lJiYqLDsiVLlpSfn19Rlwzc1FxcXLR//3773wCcKy0tLce/j66urpe9TGbw4MGaNWuWli9friZNmhRVicBNLbd9tFSpUurXr5/uu+8+PfDAA5Kk7t27q2fPnoqMjNSOHTs4Jf8GxCeKG5aPj4+aNGmiWbNm6fDhw8rIyFBYWJgGDRqkp556yt7v2WefzXFa0pAhQ/T2228XdcnATY8f1IDiIyYmRiEhIQ5t1atX188//5yjr5ubm1588UX17t27qMoDbnq57aO9e/fW//73P61du9Zh3pw5c1SrVi1Oyb9B2YwxxtlFAAAAAACA/OEaewAAAAAALIxgDwAAAACAhRHsAQAAAACwMII9AAAAAAAWRrAHAAAAAMDCCPYAAAAAAFgYwR4AAAAAAAsj2AMAAAAAYGEEewAAcFlHjhyRzWbT7t27nV1KnoWHh2v27NlFus3WrVtrzJgxRbpNAAAu5ursAgAAQPEUFhamhIQElS1b1tmlAACAKyDYAwCAHNLT0+Xu7q7g4GBnlwIAAK6CU/EBAHAyY4ymT5+uKlWqyMvLS/Xq1dPHH38sY4zat2+vTp06yRgjSTpz5owqVqyop59+WpK0ceNG2Ww2rVmzRvXq1ZOnp6eaNGmiH3/80WEbW7duVcuWLeXl5aWwsDCNGjVK586ds88PDw/XSy+9pMjISPn7+2vQoEGXPRV/3759uvvuu+Xj46OgoCD17dtXf/75p31+69atNWrUKD355JMKCAhQcHCwpkyZ4lDLmTNnNHjwYAUFBcnT01O1a9fW6tWr81zrtUhOTtbgwYMVGBgoPz8/tW3bVj/88IMk6cCBA7LZbPr5558dlpk5c6bCw8Pt7/nVxgwAgLMR7AEAcLJnnnlGUVFRmj9/vvbu3auxY8fqkUce0ddff62FCxdqx44devPNNyVJjz/+uIKCgnKE5SeeeEKvvfaadu7cqcDAQHXr1k0ZGRmSpB9//FERERHq0aOH9uzZo5UrV2rLli0aMWKEwzpmzJih2rVrKy4uTpMnT85RZ0JCglq1aqX69etr165diomJ0fHjx9WrVy+HfgsXLpS3t7e+/fZbTZ8+XS+88IJiY2MlSVlZWercubO2bt2qJUuWaN++fXrllVfk4uJyTbXmhTFG99xzjxITE/Xll18qLi5ODRs2VLt27XT69GlVr15djRo10tKlSx2WW7ZsmXr37i2bzZbnMQMA4FQGAAA4zdmzZ42np6fZunWrQ/vAgQPNww8/bIwx5sMPPzQeHh5m0qRJpmTJkubAgQP2fhs2bDCSzIoVK+xtp06dMl5eXmblypXGGGP69u1rBg8e7LD+zZs3mxIlSpjU1FRjjDGVKlUy3bt3d+gTHx9vJJnvv//eGGPM5MmTTceOHR36HD161Eiy19SqVStz5513OvRp3LixmThxojHGmLVr15oSJUo4jOFiean1SipVqmRmzZpljDFm/fr1xs/Pz5w/f96hzy233GIWLFhgjDFm5syZpkqVKvZ5Bw4cMJLM3r17r2nMo0ePvmptAAAUFq6xBwDAifbt26fz58+rQ4cODu3p6elq0KCBJKlnz55atWqVpk2bpvnz5+vWW2/NsZ5mzZrZ/w4ICFD16tW1f/9+SVJcXJwOHTrkcGTaGKOsrCzFx8erRo0akqTbb7/9irXGxcVpw4YN8vHxyTHv8OHD9rrq1q3rMC8kJEQnTpyQJO3evVsVKlS47Biupda8iIuL09mzZ1WmTBmH9tTUVB0+fFiS9NBDD+mJJ57Q9u3b1bRpUy1dulT169dXzZo1r2nMAAA4E8EeAAAnysrKkiStWbNG5cuXd5jn4eEhSfr7778VFxcnFxcXHTx4MM/rttls9m0MGTJEo0aNytGnYsWK9r+9vb2vWmvXrl316quv5pgXEhJi/9vNzS1HHdnj9PLyuuo28lJrXmRlZSkkJEQbN27MMa9UqVL2utu0aaNly5apadOmWr58uYYMGeKwjryMGQAAZyLYAwDgRDVr1pSHh4d+//13tWrV6rJ9xo8frxIlSug///mP7r77bt1zzz1q27atQ5/t27fbg29SUpJ++eUX3XbbbZKkhg0bau/evapatep11dqwYUN98sknCg8Pl6tr/v4Xom7dujp27Jh++eWXyx7tLqhas9eVmJgoV1dXhYeH59qvT58+mjhxoh5++GEdPnxYDz30kMM6rnfMAAAUNm6eBwCAE/n6+mrChAkaO3asFi5cqMOHD+v777/XW2+9pYULF2rNmjX64IMPtHTpUnXo0EH/+te/1K9fPyUlJTms54UXXtD69ev1008/KTIyUmXLllX37t0lSRMnTtS2bds0fPhw7d69WwcPHtTnn3+ukSNHXlOtw4cP1+nTp/Xwww9rx44d+vXXX7Vu3ToNGDBAmZmZeVpHq1at1LJlS91///2KjY1VfHy8/vOf/ygmJqZAa5Wk9u3bq1mzZurevbvWrl2rI0eOaOvWrXrmmWe0a9cue78ePXooJSVFQ4cOVZs2bRzOnCiIMQMAUNgI9gAAONmLL76oZ599VtOmTVONGjUUERGhL774QuHh4Ro4cKCmTJmihg0bSpKee+45hYaG6vHHH3dYxyuvvKLRo0erUaNGSkhI0Oeffy53d3dJ/xwl37Rpkw4ePKi77rpLDRo00OTJk6/5VPLQ0FB98803yszMVEREhGrXrq3Ro0fL399fJUrk/X8pPvnkEzVu3FgPP/ywatasqSeffNIekguqVumfSwC+/PJLtWzZUgMGDNCtt96qhx56SEeOHFFQUJC9n5+fn7p27aoffvhBffr0KZQxAwBQmGzG/P+HtAIAAMvZuHGj2rRpo6SkJPt14wAA4ObCT80AAAAAAFgYwR4AAFjC5s2b5ePjk+sEAMDNilPxAQCAJaSmpup///tfrvML4k76AABYEcEeAAAAAAAL41R8AAAAAAAsjGAPAAAAAICFEewBAAAAALAwgj0AAAAAABZGsAcAAAAAwMII9gAAAAAAWBjBHgAAAAAAC/t/U7RgxNx0yVMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar Plots\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=ds_salaries, x='experience_level', hue='employment_type')\n",
    "plt.title('Experience Level by Employment Type')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "eb42b26b-be76-451d-8a97-9563cff0ad39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=ds_salaries, x='company_size', hue='remote_ratio')\n",
    "plt.title('Company Size by Remote Ratio')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1a7856e-249b-4390-8934-d28ce21ae6a7",
   "metadata": {},
   "source": [
    "# **Which job as highest salary in USD dollars?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "43411dae-d7be-4b85-a438-8daef5b60c94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             job_title  salary_in_usd\n",
      "89  Research Scientist         450000\n"
     ]
    }
   ],
   "source": [
    "# Group by job title and find the maximum salary in USD for each job title\n",
    "max_salary_by_job = ds_salaries.groupby('job_title')['salary_in_usd'].max().reset_index()\n",
    "\n",
    "# Find the job title with the highest salary\n",
    "highest_salary_job = max_salary_by_job[max_salary_by_job['salary_in_usd'] == max_salary_by_job['salary_in_usd'].max()]\n",
    "\n",
    "print(highest_salary_job)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33371c22-7ab9-4393-a17c-9a5dee30b0b2",
   "metadata": {},
   "source": [
    "# **Multivariate Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb695fb6-489d-4f3a-8333-a5933f1cef20",
   "metadata": {},
   "source": [
    "Multivariate Analysis is the analysis of more that two variables (Columns) of given dataset to check the relationship and \n",
    "interaction between them. Visualize the data by plotting the right graph understanding of more than two variables. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "91ed640c-0244-4513-88b3-be51c4cd7f46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 627.986x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select relevant columns for pair plot\n",
    "pairplot_columns = ['salary_in_usd', 'remote_ratio', 'experience_level']\n",
    "\n",
    "# Create pair plot\n",
    "sns.pairplot(ds_salaries[pairplot_columns], hue='experience_level')\n",
    "plt.suptitle('Pair Plot of Selected Variables', y=1.02)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "db117a0c-1364-4abc-9f3a-e8010b7aca2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Facet Grid of salary in USD by experience level and employment type\n",
    "g = sns.FacetGrid(ds_salaries, col=\"experience_level\", row=\"employment_type\", margin_titles=True)\n",
    "g.map(sns.histplot, \"salary_in_usd\")\n",
    "g.set_axis_labels(\"Salary in USD\", \"Count\")\n",
    "plt.suptitle(\"Salary Distribution by Experience Level and Employment Type\", y=1.02)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28abfabc-1b8e-4636-a0fc-f6a92abe0388",
   "metadata": {},
   "source": [
    "**Shows the correlation between numerical variables to understand their relationships.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "b2d0c258-f8a7-4bc5-9f34-fe492d9d10f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "# Create 3D scatter plot\n",
    "fig = plt.figure(figsize=(12, 8))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "sc = ax.scatter(ds_salaries['salary'], ds_salaries['salary_in_usd'], ds_salaries['remote_ratio'], c=ds_salaries['experience_level'].astype('category').cat.codes, cmap='viridis', alpha=0.6, s=100)\n",
    "ax.set_xlabel('Salary')\n",
    "ax.set_ylabel('Salary in USD')\n",
    "ax.set_zlabel('Remote Ratio')\n",
    "plt.title('3D Scatter Plot of Salary, Salary in USD, and Remote Ratio')\n",
    "\n",
    "# Create color bar\n",
    "cbar = plt.colorbar(sc)\n",
    "cbar.set_label('Experience Level')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}