FinalProject_Group019_WI24.ipynb

{
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    "# COGS 108 Group 019- Investigating and Predicting Layoff Trends\n",
    "\n",
    "\n",
    "# Permissions\n",
    "\n",
    "Place an `X` in the appropriate bracket below to specify if you would like your group's project to be made available to the public. (Note that student names will be included (but PIDs will be scraped from any groups who include their PIDs).\n",
    "\n",
    "* [ `X` ] YES - make available\n",
    "* [  ] NO - keep private\n",
    "\n",
    "# Names\n",
    "\n",
    "- McKayla David\n",
    "- Sebastian Modafferi\n",
    "- Anna Potapenko\n",
    "- Matthew Chan\n",
    "- Kirthin Rajkumar\n",
    "\n",
    "# Abstract\n",
    "\n",
    "This project investigates the relationships between various factors and their potential to forecast layoff trends. Our findings indicate that although layoff rates vary across industries, the size of a company and its corresponding funding levels emerged as more crucial predictors of layoff trends. These findings are significant because identifying the determinants of layoff trends, stakeholders can gain insights into the risks and patterns of employment and layoffs. Facilitating a Kaggle-sourced dataset, we conducted exploratory data analysis to examine factors such as funding stages, company size, industry, and temporal aspects. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Research Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On a global economic scale, do larger companies, measured on the basis of funding and quantity of employees, lay off a higher percentage of employees than smaller companies? What indicators specifically can be used to predict the percentage of employees laid off?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background and Prior Work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Layoffs refer to economic and organizational changes, and are a significant indicator of the success and development of companies. While they affect employees, layoff rates have a broader implication on the health of the economy, industry trends, and the state of the workforce. Understanding the trends and impacts of layoffs is vital not only on a global economic scale, but within communities of stakeholders and individual communities.\n",
    "\n",
    "Layoffs are important to study due to their relevance to both companies and employees. For a company, understanding indicators which can predict imminent layoffs can help them course correct before reaching a point of no return. On the other hand, employees understanding layoff indicators can help them in choosing the correct company for their next role, ensuring job safety. Moreover, it is important to understand the impact of layoffs on employees' well-being, as research has shown that layoffs can increase the risk for suicide and attempted suicide in young adults. [4^](#https://journals.sagepub.com/doi/abs/10.1177/0004867414521502?casa_token=OieOknD1x3sAAAAA%3AGCMM6HLFsevJ-PxWun6vFwuw32rCvEyGj22OgwfMs7enT3_f_yy3v8Ok1yln-4xcS5czl-vVfbBS&journalCode=anpa)\n",
    "\n",
    "Research published in the Journal of the European Economic Association [1^](#https://academic.oup.com/jeea/article-abstract/18/1/427/5247011) explored the economic influences that cause layoffs, and inquired into how financial health and market factors influence layoff decisions. A similar study published in Journal of Labor Economics looks into the effects of layoffs on unemployment rates, and found that layoffs can have lasting impact on the job market and employee career trajectory.\n",
    "\n",
    "The journal of Labor Empirical Finance [3^](#https://doi.org/10.1016/s0927-5398\\(01\\)00024-x) also looks into the different firms and what caused their layoffs, giving insight into company restructuring and different technologies that help to modify the workforce requirements. Additionally, past precedent reviewed by JSTOR [2^](#https://www.jstor.org/stable/117002?casa_token=m7s1bFw7mY4AAAAA%3AhaYXwJWsj5E0Xo7vbnjns6omvUnSFYlenLVZ99nBhONKkQRCLyfLIdEk3ZJycob9If4HtLaMga7y7cQzrzAO6QfJYXTkccHfVciVYhTXREH7HSHuGN4) article explains the repetition of layoffs and how it correlates with economic cycles. This suggests that layoffs are an essential part of economic growth.\n",
    "\n",
    "Research on layoffs adopts an interdisciplinary approach, using economic theories, organizational behavior, and societal impacts. Overall, it is imperative to understand the factors that influence layoffs because knowledge about these factors can help researchers develop strategies to mitigate the negative effects of layoffs on employees and the economy at large. Existing work does not provide internal indicators for when a company is about to execute layoffs, so our research seeks to identify a correlation between company size and layoffs.\n",
    "\n",
    "1. <a name=\"Journal of the European Economic Association\"></a> [^](#https://academic.oup.com/jeea/article-abstract/18/1/427/5247011) Gathmann, C., Helm, I., & Schönberg, U. (2018). Spillover effects of mass layoffs. Journal of the European Economic Association, 18(1), 427–468. https://doi.org/10.1093/jeea/jvy045\n",
    "2. <a name=\"JSTOR\"></a> [^](#cite_ref-2) Hallock, Kevin, (1998). Layoffs, top executive pay, and firm performance on JSTOR. (n.d.). www.jstor.org. https://www.jstor.org/stable/117002\n",
    "3. <a name=\"Journal of Empirical Finance\"></a> [^](#https://doi.org/10.1016/s0927-5398\\(01\\)00024-x) Chen, P., Mehrotra, V., Sivakumar, R., & Yu, W. (2001). Layoffs, shareholders’ wealth, and corporate performance. Journal of Empirical Finance, 8(2), 171–199. https://doi.org/10.1016/s0927-5398(01)00024-x\n",
    "4. <a name=\"Australian & New Zealand Journal of Psychiatry\"></a> [^](https://journals.sagepub.com/doi/abs/10.1177/0004867414521502?casa_token=OieOknD1x3sAAAAA%3AGCMM6HLFsevJ-PxWun6vFwuw32rCvEyGj22OgwfMs7enT3_f_yy3v8Ok1yln-4xcS5czl-vVfbBS&journalCode=anpa)\n",
    "Milner A, Page A, Morrell S, et al. The effects of involuntary job loss on suicide and suicide attempts among young adults: Evidence from a matched case–control study. Australian & New Zealand Journal of Psychiatry. 2014;48(4):333-340. https://doi.org/10.1177/0004867414521502\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We hypothesize that larger companies lay off a higher percentage of employees, especially amidst a recession, than smaller companies. We are inclined to believe this due to the fact that smaller companies already have less employees, so lay-offs are more likely to harm the business than benefit it. Additionally, larger companies are able to withstand more financial pressure, allowing them to perform large layoffs despite the impact on company performance given that they have enough capital with withstand the losses."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data overview\n",
    "\n",
    "For each dataset include the following information\n",
    "- Dataset #1 - Kaggle\n",
    "  - Dataset Name: \"Tech Layoffs 2020-2024\"\n",
    "  - https://www.kaggle.com/datasets/ulrikeherold/tech-layoffs-2020-2024\n",
    "  - Number of observations: 1418\n",
    "  - Number of variables: 16\n",
    "\n",
    "This dataset was webscraped from layoffs.fyi. It contains layoff data over the past 4 years which was webscraped from news articles. The key data variables we will be using are `Money_Raised_in_$_mil`, `Percentage`, `Laid_Off`, `Funding`, and `Stage`. We are focusing analysis on these columns because they contain vital information about layoffs and how the company is performing. It comes fairly clean, and the only correction required is the `Money_Raised_in_$_mil` column, as it initally was stored as a string containing a dollar sign character."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Layoffs.fyi Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We begin our data analysis by loading in the data, and cleaning the data to best suit our exploratory needs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import patsy\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "import scipy.stats as stats\n",
    "from scipy.stats import ttest_ind, chisquare, normaltest\n",
    "from statsmodels.formula.api import ols\n",
    "\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "from collections import defaultdict\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "import patsy\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "import scipy.stats as stats\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "from scipy.stats import ttest_ind, chisquare, normaltest\n",
    "from statsmodels.formula.api import ols\n",
    "from collections import defaultdict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>#</th>\n",
       "      <th>Company</th>\n",
       "      <th>Location_HQ</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Laid_Off</th>\n",
       "      <th>Date_layoffs</th>\n",
       "      <th>Percentage</th>\n",
       "      <th>Company_Size_before_Layoffs</th>\n",
       "      <th>Company_Size_after_layoffs</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Stage</th>\n",
       "      <th>Money_Raised_in_$_mil</th>\n",
       "      <th>Year</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>ShareChat</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>200</td>\n",
       "      <td>2023-12-20</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1333</td>\n",
       "      <td>1133</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Series H</td>\n",
       "      <td>$1700</td>\n",
       "      <td>2023</td>\n",
       "      <td>12.97194</td>\n",
       "      <td>77.59369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>InSightec</td>\n",
       "      <td>Haifa</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Asia</td>\n",
       "      <td>100</td>\n",
       "      <td>2023-12-19</td>\n",
       "      <td>20.0</td>\n",
       "      <td>500</td>\n",
       "      <td>400</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>$733</td>\n",
       "      <td>2023</td>\n",
       "      <td>32.81841</td>\n",
       "      <td>34.98850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>Enphase Energy</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>USA</td>\n",
       "      <td>North America</td>\n",
       "      <td>350</td>\n",
       "      <td>2023-12-18</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3500</td>\n",
       "      <td>3150</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Post-IPO</td>\n",
       "      <td>$116</td>\n",
       "      <td>2023</td>\n",
       "      <td>37.54827</td>\n",
       "      <td>-121.98857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Udaan</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>100</td>\n",
       "      <td>2023-12-18</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>900</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>1500</td>\n",
       "      <td>2023</td>\n",
       "      <td>12.97194</td>\n",
       "      <td>77.59369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14</td>\n",
       "      <td>Cruise</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>USA</td>\n",
       "      <td>North America</td>\n",
       "      <td>900</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3750</td>\n",
       "      <td>2850</td>\n",
       "      <td>Transportation</td>\n",
       "      <td>Acquired</td>\n",
       "      <td>$15000</td>\n",
       "      <td>2023</td>\n",
       "      <td>37.77493</td>\n",
       "      <td>-122.41942</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    #         Company             Location_HQ Country      Continent  \\\n",
       "0   3       ShareChat               Bengaluru   India           Asia   \n",
       "1   4       InSightec                   Haifa  Israel           Asia   \n",
       "2   6  Enphase Energy  San Francisco Bay Area     USA  North America   \n",
       "3   7           Udaan               Bengaluru   India           Asia   \n",
       "4  14          Cruise  San Francisco Bay Area     USA  North America   \n",
       "\n",
       "   Laid_Off Date_layoffs  Percentage  Company_Size_before_Layoffs  \\\n",
       "0       200   2023-12-20        15.0                         1333   \n",
       "1       100   2023-12-19        20.0                          500   \n",
       "2       350   2023-12-18        10.0                         3500   \n",
       "3       100   2023-12-18        10.0                         1000   \n",
       "4       900   2023-12-14        24.0                         3750   \n",
       "\n",
       "   Company_Size_after_layoffs        Industry     Stage Money_Raised_in_$_mil  \\\n",
       "0                        1133        Consumer  Series H                 $1700   \n",
       "1                         400      Healthcare   Unknown                  $733   \n",
       "2                        3150          Energy  Post-IPO                  $116   \n",
       "3                         900          Retail   Unknown                  1500   \n",
       "4                        2850  Transportation  Acquired                $15000   \n",
       "\n",
       "   Year       lat        lng  \n",
       "0  2023  12.97194   77.59369  \n",
       "1  2023  32.81841   34.98850  \n",
       "2  2023  37.54827 -121.98857  \n",
       "3  2023  12.97194   77.59369  \n",
       "4  2023  37.77493 -122.41942  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('./data/tech_layoffs.xlsx')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove company name\n",
    "df = df.drop(columns=['Company'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Funding'] = df['Money_Raised_in_$_mil'].apply(lambda s: np.float64(s[1:])) \n",
    "df['Money_Raised_in_$_mil'] = df['Money_Raised_in_$_mil'].apply(lambda s: np.float64(s[1:])) \n",
    "# dates in 2024 are flipped so we revert their format\n",
    "df[\"Date_layoffs\"] = df['Date_layoffs'].apply(lambda i: pd.to_datetime(str(i).split()[0], format=\"%Y-%d-%m\") if i >= pd.to_datetime(\"2024-01-01\", format=\"%Y-%d-%m\") else i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>#</th>\n",
       "      <th>Location_HQ</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Laid_Off</th>\n",
       "      <th>Date_layoffs</th>\n",
       "      <th>Percentage</th>\n",
       "      <th>Company_Size_before_Layoffs</th>\n",
       "      <th>Company_Size_after_layoffs</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Stage</th>\n",
       "      <th>Money_Raised_in_$_mil</th>\n",
       "      <th>Year</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>Funding</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>200</td>\n",
       "      <td>2023-12-20</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1333</td>\n",
       "      <td>1133</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>Series H</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>2023</td>\n",
       "      <td>12.97194</td>\n",
       "      <td>77.59369</td>\n",
       "      <td>1700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>Haifa</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Asia</td>\n",
       "      <td>100</td>\n",
       "      <td>2023-12-19</td>\n",
       "      <td>20.0</td>\n",
       "      <td>500</td>\n",
       "      <td>400</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>733.0</td>\n",
       "      <td>2023</td>\n",
       "      <td>32.81841</td>\n",
       "      <td>34.98850</td>\n",
       "      <td>733.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>USA</td>\n",
       "      <td>North America</td>\n",
       "      <td>350</td>\n",
       "      <td>2023-12-18</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3500</td>\n",
       "      <td>3150</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Post-IPO</td>\n",
       "      <td>116.0</td>\n",
       "      <td>2023</td>\n",
       "      <td>37.54827</td>\n",
       "      <td>-121.98857</td>\n",
       "      <td>116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>100</td>\n",
       "      <td>2023-12-18</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>900</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2023</td>\n",
       "      <td>12.97194</td>\n",
       "      <td>77.59369</td>\n",
       "      <td>500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>USA</td>\n",
       "      <td>North America</td>\n",
       "      <td>900</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3750</td>\n",
       "      <td>2850</td>\n",
       "      <td>Transportation</td>\n",
       "      <td>Acquired</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2023</td>\n",
       "      <td>37.77493</td>\n",
       "      <td>-122.41942</td>\n",
       "      <td>15000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    #             Location_HQ Country      Continent  Laid_Off Date_layoffs  \\\n",
       "0   3               Bengaluru   India           Asia       200   2023-12-20   \n",
       "1   4                   Haifa  Israel           Asia       100   2023-12-19   \n",
       "2   6  San Francisco Bay Area     USA  North America       350   2023-12-18   \n",
       "3   7               Bengaluru   India           Asia       100   2023-12-18   \n",
       "4  14  San Francisco Bay Area     USA  North America       900   2023-12-14   \n",
       "\n",
       "   Percentage  Company_Size_before_Layoffs  Company_Size_after_layoffs  \\\n",
       "0        15.0                         1333                        1133   \n",
       "1        20.0                          500                         400   \n",
       "2        10.0                         3500                        3150   \n",
       "3        10.0                         1000                         900   \n",
       "4        24.0                         3750                        2850   \n",
       "\n",
       "         Industry     Stage  Money_Raised_in_$_mil  Year       lat        lng  \\\n",
       "0        Consumer  Series H                 1700.0  2023  12.97194   77.59369   \n",
       "1      Healthcare   Unknown                  733.0  2023  32.81841   34.98850   \n",
       "2          Energy  Post-IPO                  116.0  2023  37.54827 -121.98857   \n",
       "3          Retail   Unknown                  500.0  2023  12.97194   77.59369   \n",
       "4  Transportation  Acquired                15000.0  2023  37.77493 -122.41942   \n",
       "\n",
       "   Funding  \n",
       "0   1700.0  \n",
       "1    733.0  \n",
       "2    116.0  \n",
       "3    500.0  \n",
       "4  15000.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#                                       int64\n",
       "Location_HQ                            object\n",
       "Country                                object\n",
       "Continent                              object\n",
       "Laid_Off                                int64\n",
       "Date_layoffs                   datetime64[ns]\n",
       "Percentage                            float64\n",
       "Company_Size_before_Layoffs             int64\n",
       "Company_Size_after_layoffs              int64\n",
       "Industry                               object\n",
       "Stage                                  object\n",
       "Money_Raised_in_$_mil                 float64\n",
       "Year                                    int64\n",
       "lat                                   float64\n",
       "lng                                   float64\n",
       "Funding                               float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No, null values do not exist\n"
     ]
    }
   ],
   "source": [
    "def check_null_values(df):\n",
    "    null_values = df.isnull().sum().sum()\n",
    "    if null_values == 0:\n",
    "        print(\"No, null values do not exist\")\n",
    "    else:\n",
    "        print(\"Yes, null values exist\")\n",
    "check_null_values(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Funding Stage Trends\n",
    "\n",
    "The funding stage column of our dataset contains information on which round of funding the company is on. Since a lot of these companies are startups, we have information from many companies across many different rounds of funding. We'd like to investigate if there is a correlation between these funding stages and the percentage of employees laid off. This correlation will help us determine if the funding stage of a company can be used to indicate if a company is more likely to perform large-scale layoffs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xuTIuJ0pEROTemLQTualmfsAVzQxqh1FPospR2cWYtI7LiRIREbkvTkRHRLpn62KcnZ0Nk8mE3NxclJaWIjc3FyaTCdnZ2YiPj2cCRC7Ntpxo37590aVLF56vREREboIt7UREYBdjIiIiInJNTNqJiP4/djEmIiIiIlfDpJ2cxmq1MvkhzbF1MSYiIiIicgVM2skpsrKyYLFYUFBQoJQFBwcjISGB3YyJiIiIiIjqiBPRkcNlZWXBbDYjIiICycnJyMjIQHJyMiIiImA2m5GVlaV2iERERERERJrApJ0cymq1wmKxIDo6GklJSYiMjISvry8iIyORlJSE6OhopKSkwGq1qh0qERERERGRy2PSTg6Vk5ODgoICjBkzxm6tawDw8PBAXFwcDh8+jJycHJUiJCIiIiIi0g4m7eRQRUVFAIDw8PBat9vKbfsRERERERHRhTFpJ4cKDAwEAOTl5dW63VZu24+IiIiIiIgujEk7OVRUVBSCg4ORlpaGyspKu22VlZVIT09HSEgIoqKiVIqQ6J9ZrVbs2rULW7duxa5du9x6/gW91FUv9SQiIiL3xCXfyKE8PT2RkJAAs9kMk8mEuLg4hIeHIy8vD+np6cjOzobZbOZ67eSS9LRUoV7qqpd6EhERkftiSzs5XGxsLMxmM/78808kJiZi8ODBSExMRF5eHsxmM2+UySXpaalCvdRVL/UkIiIi92YQEVE7CLWVlJQgICAAxcXF8Pf3Vzsct2G1WpGTk4OioiIEBgYiKiqKLewNYO/evZg0aRKG9TbgimYGtcOpl6MnBB98LkhNTUX79u0b7LhWqxX33nsvIiIikJSUZLfyQWVlJUwmE/Ly8vD2229r/hzWS131Uk8iIiLSrrrmoWxpJ6fx9PREly5d0LdvX3Tp0oU3xuSy9LRUoV7qqpd6EhERkftj0k5EuqenpQr1Ule91JOIiIjcH5N2ItI9PS1VqJe66qWeRERE5P6YtBOR7ulpqUK91FUv9SQiIiL3x6SdiHTPtlRhdnY2TCYTcnNzUVpaitzcXJhMJmRnZyM+Pt4t5mXQS131Uk8iIiJyf5w9Hpw9ntwLZ4+/eLWt6R0SEoL4+Hi3W6pQL3XVSz2JiIhIe+qahzZqwJiIiFxabGwsYmJidLFUoV7qqpd6EhERkfti0k5EVI1tqUI90Etd9VJPIiIick8c005ERERERETkopi0ExEREREREbkoJu1ERERERERELopJOxEREREREZGLYtJORERERERE5KI4ezwREbk1q9XKJd+IiIjoglz9XoFJOxERua2srCxYLBYUFBQoZcHBwUhISEBsbKyKkREREZEr0MK9ArvHExGRW8rKyoLZbEZERASSk5ORkZGB5ORkREREwGw2IysrS+0QiYiISEVauVdg0k5ERG7HarXCYrEgOjoaSUlJiIyMhK+vLyIjI5GUlITo6GikpKTAarWqHSoRERGpQEv3CkzaiYjI7eTk5KCgoABjxoyBh4f9V52Hhwfi4uJw+PBh5OTkqBQhERERqUlL9wpM2omIyO0UFRUBAMLDw2vdbiu37UdERET6oqV7BSbtRETkdgIDAwEAeXl5tW63ldv2IyIiIn3R0r0Ck3YiInI7UVFRCA4ORlpaGiorK+22VVZWIj09HSEhIYiKilIpQiIiIlKTlu4VmLQTEZHb8fT0REJCArKzs2EymZCbm4vS0lLk5ubCZDIhOzsb8fHxLrUGKxERETUcLd0rcJ12IiJyS7GxsTCbzbBYLEhMTFTKQ0JCYDabXWbtVSIiIlKHVu4VmLQTEZHbio2NRUxMDHJyclBUVITAwEBERUW5xFNzIiIiUp8W7hWYtBMRkVvz9PREly5d1A6DiIiIXJSr3ytwTDsRERERERGRi2LSTkREREREROSimLQTERERERERuSgm7UREREREREQuikk7ERERERERkYti0k5ERERERETkorjkGxFRNRUVFdi8eTMOHjyIsLAwDB06FF5eXmqHRfSvrFarS68xS0RERBfHpZP2c+fOwWw2Iy0tDQUFBQgJCcG4ceMwd+5ceHhUdRIQEcybNw/Lli3D8ePH0b17dyQnJ6NTp04qR09EWpOSkoJ33nkHVqvVrmzEiBGIj49XMTKif5aVlQWLxYKCggKlLDg4GAkJCYiNjVUxMiIiIrpULt09/rnnnkNKSgqWLFmC3bt34/nnn8cLL7yA119/Xdnn+eefx+LFi7FkyRLs2LEDwcHB6N+/P06ePKli5ESkNSkpKVi/fj38/f0xffp0bNq0CdOnT4e/vz/Wr1+PlJQUtUMkqlVWVhbMZjMiIiKQnJyMjIwMJCcnIyIiAmazGVlZWWqHSERERJfApZP27OxsDBs2DIMHD8aVV16JESNGYMCAAfj+++8BVLWyv/LKK5gzZw6GDx+Ozp07Y9WqVSgtLUV6errK0RORVlRUVOCdd95B8+bNsWHDBgwePBiXX345Bg8ejA0bNqB58+Z45513UFFRoXaoRHasVissFguio6ORlJSEyMhI+Pr6IjIyEklJSYiOjkZKSopd7xEiIiLSFpdO2nv06IGtW7di7969AICffvoJX331FQYNGgQAyMvLQ0FBAQYMGKD8jre3N3r16oWvv/76gq9bXl6OkpISuz9EpF+bN2+G1WrFhAkT0KiR/aihRo0aYfz48bBardi8ebNKERLVLicnBwUFBRgzZowybMzGw8MDcXFxOHz4MHJyclSKkIiIiC6VS49pf+KJJ1BcXIyOHTvC09MTVqsVCxYswOjRowFAGbsXFBRk93tBQUHYt2/fBV930aJFmDdvnvMCJyJNOXjwIAAgOjq61u22ctt+RK6iqKgIABAeHl7rdlu5bT8iIiLSHpduaV+/fj3WrFmD9PR0/PDDD1i1ahVefPFFrFq1ym4/g8Fg97OI1Cirbvbs2SguLlb+7N+/3ynxE5E2hIWFAagaklMbW7ltPyJXERgYCKCq51ltbOW2/YiIiEh7XDppnzFjBmbNmoV77rkHUVFRuO+++/DYY49h0aJFAKpmxgVgN1suABw5cqRG63t13t7e8Pf3t/tDRPo1dOhQeHp6YsWKFTh37pzdtnPnzmHlypXw9PTE0KFDVYqQqHZRUVEIDg5GWloaKisr7bZVVlYiPT0dISEhiIqKUilCIiIiulQunbSXlpbWGKPn6emp3JiEh4cjODgYmZmZyvaKigps27YNN998c4PGSkTa5eXlhREjRuD48eMYNWoUPvzwQxw9ehQffvghRo0ahePHj2PEiBFcr51cjqenJxISEpCdnQ2TyYTc3FyUlpYiNzcXJpMJ2dnZiI+P53rtREREGubSY9pvv/12LFiwAEajEZ06dcKPP/6IxYsX44EHHgBQ1S1+6tSpWLhwIdq1a4d27dph4cKFaNKkCeLi4lSOnoi0xLYO+zvvvIPFixcr5Z6enrj77ru5Tju5rNjYWJjNZlgsFiQmJirlISEhMJvNXKediIhI41w6aX/99ddhMpkwefJkHDlyBKGhoZg0aRKeeuopZZ+ZM2fizJkzmDx5Mo4fP47u3bvj008/hZ+fn4qRE5EWxcfH44EHHsDmzZtx8OBBhIWFYejQoWxhJ5cXGxuLmJgY5OTkoKioCIGBgYiKimILOxERkRswiIioHYTaSkpKEBAQgOLiYo5vJ83bu3cvJk2ahGG9Dbii2YUnZHRFR08IPvhckJqaivbt26sdDhERERGR09Q1D3XpMe1EREREREREesaknYiIiIiIiMhFMWknIiIiIiIiclFM2omIiIiIiIhcFJN2IiIiIiIiIhfl0ku+kbZZrVYuP0Sac+bMGSxbtgwHDhxAq1atMHHiRPj6+qodllPopa4VFRVcxo+IiIg0i0k7OUVWVhYsFgsKCgqUsuDgYCQkJCA2NlbFyIgubO7cudi+fbvy8/fff4/3338fMTExmD9/voqROZ5e6pqSkoJ33nkHVqvVrmzEiBGIj49XMTIiIiKiumH3eHK4rKwsmM1mREREIDk5GRkZGUhOTkZERATMZjOysrLUDpGoBlsS27hxY8TFxWHNmjWIi4tD48aNsX37dsydO1ftEB1GL3VNSUnB+vXr4e/vj+nTp2PTpk2YPn06/P39sX79eqSkpKgdIhEREdG/MoiIqB2E2uq6qD39O6vVinvvvRcRERFISkqCh8f/ngtVVlbCZDIhLy8Pb7/9NrvKO8nevXsxadIkDOttwBXNDGqHUy9HTwg++FyQmpqK9u3bN9hxz5w5g0GDBqFx48b46KOP7LpOV1RUYMiQITh79iwyMjI0331cL3WtqKjAoEGD4O/vjw0bNqBRo/91LDt37hxGjRqFkpISZGRksKs8ERERqaKueShb2smhcnJyUFBQgDFjxtgl7ADg4eGBuLg4HD58GDk5OSpFSFTTsmXLAAAjR46skcB5eXnhrrvusttPy/RS182bN8NqtWLChAl2CTsANGrUCOPHj4fVasXmzZtVipCIiIiobpi0k0MVFRUBAMLDw2vdbiu37UfkCg4cOAAAGDRoUK3bbeW2/bRML3U9ePAgACA6OrrW7bZy235EREREropJOzlUYGAgACAvL6/W7bZy235ErqBVq1YAgIyMjFq328pt+2mZXuoaFhYGAMjOzq51u63cth8RERGRq2LSTg4VFRWF4OBgpKWlobKy0m5bZWUl0tPTERISgqioKJUiJKpp4sSJAICNGzeioqLCbltFRQU2bdpkt5+W6aWuQ4cOhaenJ1asWIFz587ZbTt37hxWrlwJT09PDB06VKUIiYiIiOqGSTs5lKenJxISEpCdnQ2TyYTc3FyUlpYiNzcXJpMJ2dnZiI+P5yR05FJ8fX0RExODs2fPYsiQIUhNTcX+/fuRmpqqTMwWExOj6YnZbPRSVy8vL4wYMQLHjx/HqFGj8OGHH+Lo0aP48MMPMWrUKBw/fhwjRozgJHRERETk8jh7PDh7vDPUtk57SEgI4uPjuU67k3H2+It3/trlNu62djmgn7rWtk67p6cn12knIiIi1dU1D2XSDibtzmK1WpGTk4OioiIEBgYiKiqKLewNgEn7pTlz5gyWLVuGAwcOoFWrVpg4caLmW50vRC91raiowObNm3Hw4EGEhYVh6NChbGEnIiIi1dU1D210wS1ERDrk6+uLKVOmqB1Gg/Dy8kKvXr2UB2vumsjausoTERERaRGTdnKK2rrHBwcHIyEhgd3jiVwAP6NERERE2sCJ6MjhsrKyYDabERERgeTkZGRkZCA5ORkREREwm83IyspSO0QiXeNnlIiIiEg7mLSTQ1mtVlgsFkRHRyMpKQmRkZHw9fVFZGQkkpKSEB0djZSUFLtJoYio4fAzSkRERKQtTNrJoXJyclBQUIAxY8bAw8P+9PLw8EBcXBwOHz6MnJwclSIk0jd+RomIiIi0hUk7OVRRUREAIDw8vNbttnLbfkTUsPgZJSIiItIWJu3kUIGBgQCAvLy8Wrfbym37EVHD4meUiIiISFuYtJNDRUVFITg4GGlpaTh79ix27dqFrVu3YteuXTh79izS09MREhKCqKgotUMl0qXqn9HKykq7bZWVlW75GbVarXbXIo7XJyIiIi3hkm/kUJ6enkhISIDZbMbtt9+O8vJyZZu3tzcqKipgNpvh6empYpRE+lX9M2oymRAXF4fw8HDk5eUhPT0d2dnZbvUZ5dJ2REREpHVM2skpRKRe5UTUcGJjY2E2m2GxWJCYmKiUh4SEwGw2u00ya1vaLjo6GiaTSXk4kZaWBrPZ7FZ1JSIiIvfFpJ0cyrac1M033wyz2Yzc3FwUFRUhMDAQnTp1gtlsRkpKCmJiYtymJY9Ii2JjYxETE4OcnBzlMxoVFeU2n8vzl7azzZRvW9rOZDLxWkRERESawDHt5FDVl5Nq3LgxunTpgr59+6JLly5o3Lgxl5MiciGenp52n1F3Sl65tB0RERG5Cybt5FBcToqIXAGvRUREROQumLSTQ3E5KSJyBbwWERERkbuoU9K+efNmnD171tmxkBvQ43JSROR6eC0iIiIid1GnpP3OO+/EiRMnAFSNgTxy5IgzYyINsy0nlZ2dDZPJhNzcXJSWliI3NxcmkwnZ2dmIj493q7GzROR6eC0iIiIid1Gn2eNbtGiBb775BrfffjtEBAaDwdlxkYbpZTkpInJtvBYRERGRO6hT0h4fH49hw4bBYDDAYDAgODj4gvtarVaHBUfa5e7LSRG5gzNnzmDZsmU4cOAAWrVqhYkTJ8LX11ftsByK1yIiIiL6N1ar1aXvFeqUtJvNZtxzzz34/fffMXToUKxcuRLNmjVzcmikdbblpIjI9cydOxfbt29Xfv7+++/x/vvvIyYmBvPnz1cxMsfjtYiIiIguJCsrCxaLBQUFBUpZcHAwEhISXKZXXp2S9s2bN2PgwIHo2LEjnn76aYwcORJNmjRxdmxEROQEtoS9cePGGDlyJAYNGoSMjAxs3LgR27dvx9y5c90ucSciIiI6X1ZWFsxmM6Kjo2EymRAeHo68vDykpaXBbDa7zHC6ek9E98wzz+DUqVPOjImIiJzkzJkzSsL+0Ucf4aGHHkJYWBgeeughfPTRR2jcuDG2b9+OM2fOqB0qERERkdNYrVZYLBZER0cjKSkJkZGR8PX1RWRkJJKSkhAdHY2UlBSXGP7NiegcpKysDPn5+U4/jtFohI+Pj9OPQ0TuadmyZQCAkSNHwsvLy26bl5cX7rrrLqxbtw7Lli3DlClT1AiRiIiIyOlycnJQUFAAk8kEDw/7tmwPDw/ExcUhMTEROTk5qg+z40R0DpKfn49JkyY5/Tipqalo3769049DRO7pwIEDAIBBgwbVun3QoEFYt26dsh8RERGROyoqKgIAhIeH17rdVm7bT02ciM5BjEYjUlNT67x/fn4+FixYgDlz5sBoNNbrOEREF6tVq1b4/vvvkZGRgYceeqjG9oyMDGU/IiIiIncVGBgIAMjLy0NkZGSN7Xl5eXb7qalOSTsAdOzYkRPR/QMfH5+LagE3Go1sOSeiBjNx4kS8//772LhxI8aOHWvXRb6iogKbNm1S9iMiIiJyV1FRUQgODkZaWhqSkpLsushXVlYiPT0dISEhiIqKUjHKKnWaiK66p59+Gr///jveeecdbNq0CT///LMz4iIiIifw9fVFTEwMzp49iyFDhiA1NRX79+9HamoqhgwZgrNnzyImJsbt1msnIiIiqs7T0xMJCQnIzs6GyWRCbm4uSktLkZubC5PJhOzsbMTHx7vEeu11bmkHgO+++w4TJkzAr7/+ChEBABgMBnTq1AkrVqxAt27dnBIkERE5zvz585Vl39atW4d169Yp29xxnXYiIiKi2sTGxsJsNsNisSAxMVEpDwkJcZnl3oB6JO2//vor+vbti6uvvhpr1qzB1VdfDRHB7t278fLLL6Nv37745ptvah0PQERErmX+/Pk4c+YMli1bhgMHDqBVq1aYOHEiW9iJiIhIV2JjYxETE4OcnBwUFRUhMDAQUVFRLtHCblPnpP3pp59G//79sWnTJrsl37p27YrRo0dj+PDhMJvN2LBhg1MCJSIix/L19eWybkRERKR7np6eqi/r9k/qnLR/8cUX+Pjjj2tdo91gMODJJ5+84BJCRERERERERFR/dZ6I7uTJkwgKCrrg9uDgYJw8edIhQRERERERERFRPZL2K6+8Et99990Ft3/77bdo06aNQ4IiIiIiIiIionok7XfffTemTZuGX375pca2nJwcTJ8+Hffcc49DgyMiIiIiIiLSszqPaZ89eza2bNmCLl26oH///rj66qsBVM0qv2XLFtx4442YPXu20wIlIiIiIiIi0ps6J+0+Pj74/PPP8fLLL2Pt2rXYtm0bAKB9+/aYP38+HnvsMXh7ezstUCIiIiIiIiK9qXPSDgBeXl544okn8MQTTzgrHiIiIiIiIiL6/+o8pp2IiIiIiIiIGhaTdiIiIiIiIiIXxaSdiIiIiIiIyEUxaSciIiIiIiJyUUzaiYiIiIiIiFxUnWaPnzZtWp1fcPHixRcdDBERERERERH9T52S9h9//NHu5507d8JqtaJDhw4AgL1798LT0xPXX3+94yMkIiIiIiIi0qk6dY///PPPlT+33347brnlFhw4cAA//PADfvjhB+zfvx+9e/fG4MGDHR7gwYMHce+99yIwMBBNmjRBly5dsHPnTmW7iMBsNiM0NBS+vr645ZZbkJub6/A4iIiIiIiIiBpavce0v/TSS1i0aBGaN2+ulDVv3hzz58/HSy+95NDgjh8/jpiYGDRu3Bgff/wxfv31V7z00kto1qyZss/zzz+PxYsXY8mSJdixYweCg4PRv39/nDx50qGxEBERERERETW0OnWPr66kpASFhYXo1KmTXfmRI0ccnig/99xzaN26NVauXKmUXXnllcq/RQSvvPIK5syZg+HDhwMAVq1ahaCgIKSnp2PSpEkOjYeIiIiIiIioIdU7ab/zzjsxfvx4vPTSS7jpppsAAN988w1mzJihJM6OsnnzZtx6660YOXIktm3bhrCwMEyePBkPPfQQACAvLw8FBQUYMGCA8jve3t7o1asXvv766wsm7eXl5SgvL1d+LikpcWjcROR6ysrKkJ+f79RjGI1G+Pj4OPUYRERERKQv9U7aU1JSMH36dNx77704e/Zs1Ys0aoQJEybghRdecGhwf/75JywWC6ZNm4Ynn3wS3333HR599FF4e3vj/vvvR0FBAQAgKCjI7veCgoKwb9++C77uokWLMG/ePIfGSkSuLT8/3+m9b1JTU9G+fXunHoOIiIiI9KXeSXuTJk2wdOlSvPDCC/jjjz8gIrjqqqtw2WWXOTy4yspK3HDDDVi4cCEAoGvXrsjNzYXFYsH999+v7GcwGOx+T0RqlFU3e/Zsu2XsSkpK0Lp1awdHT0SuxGg0IjU1tU775ufnY8GCBZgzZw6MRmO9jkFERERE5Ej1TtptLrvsMlxzzTWOjKWGkJAQREZG2pVdffXV2LRpEwAgODgYAFBQUICQkBBlnyNHjtRofa/O29sb3t7eToiYiFyVj49PvVvBjUYjW86JiIiISFV1StqHDx+Ot956C/7+/v86bv3dd991SGAAEBMTgz179tiV7d27F23atAEAhIeHIzg4GJmZmejatSsAoKKiAtu2bcNzzz3nsDiIiIiIiIiI1FCnpD0gIEDpbh4QEODUgKp77LHHcPPNN2PhwoUYNWoUvvvuOyxbtgzLli0DUNUtfurUqVi4cCHatWuHdu3aYeHChWjSpAni4uIaLE4iIiIiIiIiZ6hT0l59ybXq/3a2bt264b333sPs2bPxzDPPIDw8HK+88grGjBmj7DNz5kycOXMGkydPxvHjx9G9e3d8+umn8PPza7A4qXZWqxU5OTkoKipCYGAgoqKi4OnpqXZYREREREREmnHRY9obypAhQzBkyJALbjcYDDCbzTCbzQ0XFP2rrKwsWCwWZYZ/oGoOgoSEBMTGxqoYGRERERERkXZcVNL+zjvvYMOGDcjPz0dFRYXdth9++MEhgZF2ZWVlwWw2Izo6GiaTCeHh4cjLy0NaWprygIWJOxERERER0b/zqO8vvPbaaxg/fjxatmyJH3/8ETfeeCMCAwPx559/YuDAgc6IkTTEarXCYrEgOjoaSUlJiIyMhK+vLyIjI5GUlITo6GikpKTAarWqHSoREREREZHLq3fSvnTpUixbtgxLliyBl5cXZs6ciczMTDz66KMoLi52RoykITk5OSgoKMCYMWPg4WF/enl4eCAuLg6HDx9GTk6OShESERERERFpR72T9vz8fNx8880AAF9fX5w8eRIAcN9992Ht2rWOjY40p6ioCEDVcny1sZXb9iMiIiIiIqILq3fSHhwcrCRcbdq0wTfffAMAyMvLg4g4NjrSnMDAQABV50NtbOW2/YiIiIiIiOjC6p209+nTBx9++CEAYMKECXjsscfQv39/3H333bjzzjsdHiBpS1RUFIKDg5GWlobKykq7bZWVlUhPT0dISAiioqJUipCIiIiIiEg76j17/LJly5RkLD4+Hpdffjm++uor3H777UhISHB4gKQtnp6eSEhIgNlshslkQlxcnDJ7fHp6OrKzs2E2m7leOxERERERUR3UO2n38PCwm2Bs1KhRGDVqFI4fP461a9fi/vvvd2iApD2xsbEwm82wWCxITExUykNCQrjcGxERERERUT1c1DrttcnPz8f48eOZtBOAqsQ9JiYGOTk5KCoqQmBgIKKiotjCTkREREREVA8OS9qJzufp6YkuXbqoHQYREREREZFm1XsiOiIiIiIiIiJqGEzaiYiIiIiIiFxUnbvHv/baa/+4/eDBg5ccDLkXq9XKMe1ERERERESXoM5J+8svv/yv+xiNxksKhtxHVlYWLBYLCgoKlLLg4GAkJCRw9ngiumRlZWXIz8936jGMRiN8fHycegwiIiKif1PnpD0vL8+ZcZAbycrKgtlsRnR0NEwmk7JOe1paGsxmM5d9I6JLlp+fj0mTJjn1GKmpqWjfvr1Tj0FERET0bzh7PDmU1WqFxWJBdHQ0kpKS4OFRNW1CZGQkkpKSYDKZkJKSgpiYGHaVJ6KLZjQakZqaWuf98/PzsWDBAsyZM6fOvcLYe4yIiIhcAZN2cqicnBwUFBTAZDIpCbuNh4cH4uLikJiYiJycHC4HR0QXzcfH56JawY1GI1vPiYiISFM4ezw5VFFREQAgPDy81u22ctt+REREREREdGFM2smhAgMDAVx4DgRbuW0/IiIiIiIiujAm7eRQUVFRCA4ORlpaGiorK+22VVZWIj09HSEhIYiKilIpQiIiIiIiIu24qKT9jz/+wNy5czF69GgcOXIEAPCf//wHubm5Dg2OtMfT0xMJCQnIzs6GyWRCbm4uSktLkZubC5PJhOzsbMTHx3MSOiIiIiIiojqod9K+bds2REVF4dtvv8W7776LU6dOAQB+/vlnPP300w4PkLQnNjYWZrMZf/75JxITEzF48GAkJiYiLy+Py70RERERERHVQ71nj581axbmz5+PadOmwc/PTynv3bs3Xn31VYcGR9oVGxuLmJgY5OTkoKioCIGBgYiKimILOxERERERUT3UO2nPyclBenp6jfIWLVpwRnCyc+bMGbzzzjs4dOgQQkNDcdVVV6Fp06Zqh0VE5JZOnTqFZ599Vrnmzpo1yy2vuVarVRcPhFlPIiKyqXfS3qxZMxw+fLjGkl4//vgjwsLCHBYYaVtCQgJ+++035ee8vDzcfvvt6NixIywWi4qRERG5H71cc7OysmCxWFBQUKCUBQcHIyEhwa2GXrGe7lVPIqJLVe8x7XFxcXjiiSdQUFAAg8GAyspKbN++HdOnT8f999/vjBhJY2w3jwaDAQMGDMDy5csxYMAAGAwG/Pbbb0hISFA7RCIit6GXa25WVhbMZjMiIiKQnJyMjIwMJCcnIyIiAmazGVlZWWqH6BCsp3vVk4jIEeqdtC9YsABGoxFhYWE4deoUIiMjERsbi5tvvhlz5851RoykIadOnVJuHjMyMjB79my0bdsWs2fPRkZGhnITaZvAkIiILp5errlWqxUWiwXR0dFISkpCZGQkfH19ERkZiaSkJERHRyMlJQVWq1XtUC8J6+le9SQicpR6d49v3Lgx0tLS8Mwzz+DHH39EZWUlunbtinbt2jkjPtKYZ599FgDQv39/+Pj42G3z8fFB3759sWXLFjz77LOYP3++GiHqxomTonYI9abFmF1NWVkZ8vPznXoMo9FY4/NN6tDLNTcnJwcFBQUwmUzw8LBvb/Dw8EBcXBwSExORk5ODLl26qBOkA7Ce7lVPIlKXO90T1Ttpt2nbti3atm3ryFjIDRw6dAgAMGrUqFq3jxw5Elu2bFH2I+fZ9j0AMAnWm/z8fEyaNMmpx0hNTUX79u2degyqG71cc20T3Z4/n46NrVzrE+KynrAr13o9iUhd7nRPVO+kfdq0abWWGwwG+Pj44KqrrsKwYcNw+eWXX3JwpD2hoaHIy8vDhg0bMHv27BrbN27cqOxHztXrBqCZn0HtMOrlxEn5/w8b6GIZjUakpqbWef/8/HwsWLAAc+bMgdForPMxyDXo5ZobGBgIoGqCvcjIyBrb8/Ly7PbTKtYTSnn1/YiILoY73RPVO2n/8ccf8cMPP8BqtaJDhw4QEfz3v/+Fp6cnOnbsiKVLl+Lxxx/HV199VeuFmNzbrFmzcPvttyMzMxOPPfaYXXeRsrIybN26VdmPnKuZnwFXNNNW0l6FvQMuhY+Pz0U98TUajWw91yC9XHOjoqIQHByMtLQ0JCUl2XWprqysRHp6OkJCQhAVFaVilJeO9XSvehKRutzpnqjeE9ENGzYM/fr1w6FDh7Bz50788MMPOHjwIPr374/Ro0fj4MGDiI2NxWOPPeaMeMnFNW3aFB07doSIYNCgQViwYAH27t2LBQsWYNCgQRARdOzY0S3XDiYiamh6ueZ6enoiISEB2dnZMJlMyM3NRWlpKXJzc2EymZCdnY34+HjNr+/NerpXPYmIHKXeLe0vvPACMjMz4e/vr5T5+/vDbDZjwIABmDJlCp566ikMGDDAoYGSdlgsFmUJoi1btmDLli3KNndbM5iISG16uebGxsbCbDbDYrEgMTFRKQ8JCYHZbHabdb1ZT/eqJxGRI9Q7aS8uLsaRI0dqdH3/+++/UVJSAgBo1qwZKioqHBMhaZLFYsGpU6fw7LPP4tChQwgNDcWsWbM039pDROSK9HLNjY2NRUxMDHJyclBUVITAwEBERUW5XYss6+le9SQiulT1TtqHDRuGBx54AC+99BK6desGg8GA7777DtOnT8cdd9wBAPjuu+9cbhwANbymTZtqeokhIiIt0cs119PTUxfLgLGeRERkU++kPTU1FY899hjuuecenDt3rupFGjXC2LFj8fLLLwOo6o63fPlyx0ZKREREREREpDP1TtqbNm2KN954Ay+//DL+/PNPiAjatm1r1wWPT0yJiIiIiIiILl29k3abpk2b4pprrnFkLERERERERERUzUUl7Tt27MDGjRuRn59fY8K5d9991yGBEREREREREeldvddpX7duHWJiYvDrr7/ivffew9mzZ/Hrr7/is88+Q0BAgDNiJCIiIiIiItKleiftCxcuxMsvv4yPPvoIXl5eePXVV7F7926MGjUKRqPRGTGSRlmtVuzatQtbt27Frl27YLVa1Q6JiIiIiIhIU+rdPf6PP/7A4MGDAQDe3t44ffo0DAYDHnvsMfTp0wfz5s1zeJCkPVlZWbBYLCgoKFDKgoODkZCQgNjYWBUjIyIiIiIi0o56t7RffvnlOHnyJAAgLCwMv/zyCwDgxIkTKC0tdWx0pElZWVkwm82IiIhAcnIyMjIykJycjIiICJjNZmRlZakdIhERERERkSbUO2nv2bMnMjMzAQCjRo3ClClT8NBDD2H06NHo27evwwMkbbFarbBYLIiOjkZSUhIiIyPh6+uLyMhIJCUlITo6GikpKewqT0REREREVAf17h6/ZMkSlJWVAQBmz56Nxo0b46uvvsLw4cNhMpkcHiBpS05ODgoKCmAymSAi2LVrF4qKihAYGIioqCjExcUhMTEROTk56NKli9rhEhG5tLKyMuTn5zv1GEajET4+Pk49BhEREV28eiftl19+ufJvDw8PzJw5EzNnznRoUKRdRUVFAIBDhw4hKSmpxpj2Bx54wG4/IiK6sPz8fEyaNMmpx0hNTUX79u2degwiIiK6ePVO2j09PXH48GG0bNnSrryoqAgtW7Zkt2edCwwMBFC1ykB0dDRMJhPCw8ORl5eHtLQ0LFq0yG4/IiK6MKPRiNTU1Drvn5+fjwULFmDOnDl1XtGFK78QERG5tnon7SJSa3l5eTm8vLwuOSDStsjISHh6esLf3x/z5s1Do0aNlPJ58+Zh1KhRKCkpQWRkpMqREhG5Ph8fn4tqBTcajWw9JyIichN1Ttpfe+01AIDBYMDy5cvRtGlTZZvVakVWVhY6duzo+AhJU3799VdYrVYcP34cTz/9NOLi4pSW9vT0dBw/flzZj2PaiYiIiIiI/lmdk/aXX34ZQFVLe0pKCjw9PZVtXl5euPLKK5GSkuL4CElTbGPVn3zySbz55ptITExUtoWEhODJJ5/EwoULOaadiIiIiIioDuqctOfl5QEAevfujXfffRfNmzd3WlCkXbax6mFhYVizZg1ycnLsZo//7bff7PYjIiIiIiKiC6v3mPbPP//cGXGQm4iKikJwcDDS0tKQlJRk1wW+srIS6enpCAkJQVRUlHpBEhERERERaUS9k3ar1Yq33noLW7duxZEjR1BZWWm3/bPPPnNYcKQ9np6eSEhIgNlshslkqjGmPTs7G2az2W54BREREREREdWu3kn7lClT8NZbb2Hw4MHo3LkzDAaDM+IiDYuNjYXZbIbFYqkxpt1sNiM2NlbF6IiIiIiIiLSj3kn7unXrsGHDBgwaNMgZ8ZCbiI2NRUxMTI0x7WxhJyIiIhur1cp7BSKif1HvpN3LywtXXXWVM2IhN+Pp6cll3YiIiKhWWVlZsFgsKCgoUMqCg4ORkJDAXnlERNV41PcXHn/8cbz66qsQEWfEQ0RERERuLisrC2azGREREUhOTkZGRgaSk5MREREBs9mMrKwstUMkInIZ9W5p/+qrr/D555/j448/RqdOndC4cWO77e+++67DgiMiIiIi92K1WmGxWBAdHY2kpCR4eFS1IUVGRiIpKQkmkwkpKSmIiYlhV3kiIlxE0t6sWTPceeedzoiFiIiI6B/pZQy0O9czJycHBQUFMJlMSsJu4+Hhgbi4OCQmJiInJ4fD7IiIcBFJ+8qVK50RR50sWrQITz75JKZMmYJXXnkFACAimDdvHpYtW4bjx4+je/fuSE5ORqdOnVSLk4iIiBxPL2Og3b2eRUVFAIDw8PBat9vKbfsREeldvce0A8C5c+ewZcsWpKam4uTJkwCAQ4cO4dSpUw4NrrodO3Zg2bJluOaaa+zKn3/+eSxevBhLlizBjh07EBwcjP79+ytxERERkfbpZQy0HuoZGBgIAMjLy6t1u63cth8Rkd7VO2nft28foqKiMGzYMDz88MP4+++/AVQlz9OnT3d4gABw6tQpjBkzBm+88QaaN2+ulIsIXnnlFcyZMwfDhw9H586dsWrVKpSWliI9Pd0psRAREVHDOn8MdGRkJHx9fZUx0NHR0UhJSYHValU71Euil3pGRUUhODgYaWlpqKystNtWWVmJ9PR0hISEICoqSqUIiYhcS727x0+ZMgU33HADfvrpJ7snoHfeeScefPBBhwZn8/DDD2Pw4MHo168f5s+fr5Tn5eWhoKAAAwYMUMq8vb3Rq1cvfP3115g0aVKtr1deXo7y8nLl55KSEqfE7Y7KysqQn5/v9OMYjUb4+Pg4/ThEROT69DIGWi/19PT0REJCAsxmM0wmE+Li4hAeHo68vDykp6cjOzsbZrPZbcbwExFdqouaPX779u3w8vKyK2/Tpg0OHjzosMBs1q1bhx9++AE7duyosc021isoKMiuPCgoCPv27bvgay5atAjz5s1zbKA6kZ+ff8GHIY6UmpqK9u3bO/04RETk+vQyBlov9QSA2NhYmM1mWCwWJCYmKuUhISEwm81uMXafiMhR6p20V1ZW1tot68CBA/Dz83NIUDb79+/HlClT8Omnn/5jq6vBYLD7WURqlFU3e/ZsTJs2Tfm5pKQErVu3vvSAdcBoNCI1NbXO++fn52PBggWYM2cOjEZjvY5DREQE2I+BjoyMrLHdXcZA66WeNrGxsYiJiXHbWfKJiByl3kl7//798corr2DZsmUAqhLmU6dO4emnn8agQYMcGtzOnTtx5MgRXH/99UqZ1WpFVlYWlixZgj179gCoanEPCQlR9jly5EiN1vfqvL294e3t7dBY9cLHx+eiWsCNRiNbzomI6KJUHwNdfV1vwL3GQOulntV5enpquqs/EVFDqPdEdC+//DK2bduGyMhIlJWVIS4uDldeeSUOHjyI5557zqHB9e3bFzk5Odi1a5fy54YbbsCYMWOwa9cuREREIDg4GJmZmcrvVFRUYNu2bbj55psdGgsRERGpwzYGOjs7GyaTCbm5uSgtLUVubi5MJhOys7MRHx+v+RZavdSTiIjqp94t7aGhodi1axfWrVuHnTt3orKyEhMmTMCYMWPg6+vr0OD8/PzQuXNnu7LLLrsMgYGBSvnUqVOxcOFCtGvXDu3atcPChQvRpEkTxMXFOTQWIiIiUo9exkDrpZ5ERFR39U7aAcDX1xfjx4/H+PHjHR1Pvc2cORNnzpzB5MmTcfz4cXTv3h2ffvqpw8fXExERkbr0MgZaL/UkIqK6qXfSvmjRIgQFBeGBBx6wK3/zzTfx999/44knnnBYcLX54osv7H42GAwwm80wm81OPS4RERGpTy9joPVSTyIi+nf1HtOempqKjh071ijv1KkTUlJSHBIUEREREREREV1ES/v5M7XbtGjRAocPH3ZIUEREdVFYWIji4mKHv25+fr7d384QEBDwj6tcEBEREREBF5G0t27dGtu3b0d4eLhd+fbt2xEaGuqwwIiI/klhYSHuH3s/KsornHaMBQsWOO21vby9sHrVaibuRADKysqc+pDMxmg0wsfHx+nHISIicqR6J+0PPvggpk6dirNnz6JPnz4AgK1bt2LmzJl4/PHHHR4gEVFtiouLUVFegS43An7+akdTPydLgF3fVaC4uJhJOxGqerVMmjTJ6cdJTU1F+/btnX4cIiIiR6p30j5z5kwcO3YMkydPRkVFVQuXj48PnnjiCcyePdvhARIR/RM/fyCgudpRENGlMBqNSE1NrfP++fn5WLBgAebMmQOj0Viv4xAREWlNvZJ2q9WKr776Ck888QRMJhN2794NX19ftGvXDt7e3s6KkYiIiNyYj4/PRbWAG41GtpwTEZHbq1fS7unpiVtvvRW7d+9GeHg4unXr5qy4iIiIiIiIiHSv3ku+RUVF4c8//3RGLERERERERERUTb2T9gULFmD69On46KOPcPjwYZSUlNj9ISIiIiIiIiLHqPdEdLfddhsAYOjQoTAYDEq5iMBgMMBqtTouOheg1XWguQY0ERERkXM1xHKFXKqw4fD9JFdV76T9888/d0YcLqmwsBBj778f5RXaWwfa28sLq1ZzDWgiIiIiZ2mI5Qq5VGHD4ftJrqreSXuvXr2cEYdLKi4uRnlFBSZf3Q1hl/mpHU6dHTx9Ekt37+Aa0EREREROVJ/lCrlUoetriOUn+X7Sxah30g4AX375JVJTU/Hnn39i48aNCAsLw9tvv43w8HD06NHD0TGqLuwyP4T7cSFoqp3VakVOTg6KiooQGBiIqKgoeHp6qh0WEREROdnFLFfIpQpdF5efJFdV76R906ZNuO+++zBmzBj88MMPKC8vBwCcPHkSCxcuREZGhsODJHJVWVlZsFgsKCgoUMqCg4ORkJCA2NhYFSMjIiIiIiJ3UO/Z4+fPn4+UlBS88cYbaNy4sVJ+880344cffnBocESuLCsrC2azGREREUhOTkZGRgaSk5MREREBs9mMrKwstUMkIiIiIiKNq3fSvmfPnlpbEP39/XHixAlHxETk8qxWKywWC6Kjo5GUlITIyEj4+voiMjISSUlJiI6ORkpKitutpkBERERERA2r3t3jQ0JC8Pvvv+PKK6+0K//qq68QERHhqLiIXFpOTg4KCgpgMpng4WH/7MvDwwNxcXFITExETk4OunTpok6Q5DactfQkwOUniYiIiFxdvZP2SZMmYcqUKXjzzTdhMBhw6NAhZGdnY/r06XjqqaecESORyykqKgIAhIeH17rdVm7bj+hiFRYW4v6x96Oi3HlLTwLOW37Sy9sLq1dx+UkiIiKii1XvpH3mzJkoLi5G7969UVZWhtjYWHh7e2P69OlITEx0RoxELicwMBAAkJeXh8jIyBrb8/Ly7PYjuljFxcWoKK9AqxjAJ0DtaOqnrBg4sL2Cy08SERERXYKLWvLNth7hr7/+isrKSkRGRqJp06aOjo3IZUVFRSE4OBhpaWlISkqy6yJfWVmJ9PR0hISEICoqSsUoyZ34BAC+gQa1w6gnUTsAIiIiIs2r80R0paWlePjhhxEWFoaWLVviwQcfxJVXXokbb7yRCTvpjqenJxISEpCdnQ2TyYTc3FyUlpYiNzcXJpMJ2dnZiI+P53rtRERERER0Serc0v7000/jrbfewpgxY+Dj44O1a9ciISEBGzdudGZ8RC4rNjYWZrMZFovFbmhISEgIzGYz12knIiIiIqJLVuek/d1338WKFStwzz33AADuvfdexMTEwGq1sjWRdCs2NhYxMTHIyclBUVERAgMDERUVxc8EERERERE5RJ2T9v3796Nnz57KzzfeeCMaNWqEQ4cOoXXr1k4JjkgLPD09uawbERE5lNVq5QNhIiICUI+k3Wq1wsvLy/6XGzXCuXPnHB4UERERkV5lZWXBYrGgoKBAKQsODkZCQgKHXhER6VCdk3YRwbhx4+Dt7a2UlZWVIT4+HpdddplS9u677zo2QiIiIiKdyMrKgtlsRnR0NEwmE8LDw5GXl4e0tDSYzWbOmUJEpEN1TtrHjh1bo+zee+91aDBEREREemW1WmGxWBAdHW23nGhkZCSSkpJgMpmQkpKCmJgYdpUnItKROiftK1eudGYcRESkc4WFhSguLnbKa+fn59v97WgBAQEICgpyymuTfuTk5KCgoAAmk0lJ2G08PDwQFxeHxMRE5OTkcC4VIiIdqXPSTkRE5CyFhYW4f+z9qCivcOpxFixY4JTX9fL2wupVq5m40yUpKioCAISHh9e63VZu24+IiPSBSTsREamuuLgYFeUVMPQKBQK8/v0XXElxBSq2HUJxcTGTdrokgYGBAIC8vDxERkbW2J6Xl2e3HxER6QOTdiIich0BXjBc4at2FPUiagdAbiMqKgrBwcFIS0uzG9MOAJWVlUhPT0dISAiioqJUjJKISF3OGk7nykPpmLQTERERuQBPT08kJCTAbDbDZDIhLi5OmT0+PT0d2dnZMJvNnISOiHSrsLAQY+8fi/KKcqcdw1lD6by9vLFq9aqLStyZtBMRERG5iNjYWJjNZlgsFiQmJirlISEhXO6NiHSvuLgY5RXlSGg/CKFNtDNU6FBpESx7My56KB2TdiI3deIkoLWOu1UxExHpW2xsLG666SZs3rwZBw8eRFhYGIYOHQovL43N90BE5CShTQIR3lQ/88gwaSdyMwEBAfD28sK27507C7ezeHt5ISAgoM77nypxYjBOosWYiajhZGVlwWKxoKCgQCnbtGkTEhIS2NJORKRDTNqJ3ExQUBBWrV7ttAk6FixYgDlz5sBoNDr89YH6T9Lx43dOCYOISBVZWVkwm82Ijo6GyWRSxrSnpaXBbDazizwRkQ4xaSdyQ0FBQU5despoNKJ9+/ZOe/366Hoj0NRf7Sjq51QJHzYQUU1WqxUWiwXR0dF2s8dHRkYiKSkJJpMJKSkpiImJ4WR0REQ6wqSdiDStqT8Q0FztKIiILl1OTg4KCgpgMpnslnsDAA8PD8TFxSExMRE5OTno0qWLOkESEVGD8/j3XYiIiIjI2YqKigAA4eHhtW63ldv2IyIifWDSTkREROQCAgOrli/Ky8urdbut3LYfERHpA5N2IiIiIhcQFRWF4OBgpKWl4ezZs9i1axe2bt2KXbt24ezZs0hPT0dISAiioqLUDpWIiBoQx7QTERERuQBPT08kJCTAbDbj9ttvR3l5ubLN29sbFRUVMJvNmpiErqysDPn5+U49htFohI+Pj1OPQUTkCpi0ExEREbkQEalXuSvKz8/HpEmTnHqM1NRUl1nJhIjImZi0ExEREbkA25JvN998M8xmM3Jzc1FUVITAwEB06tQJZrNZM0u+GY1GpKam1mnf/Px8LFiwAHPmzIHRaKzXMYiI9IBJO9EFsGsfETlLYWEhiouLHf66tmuWs65dAQEBCAoKcsprk/2Sb40bN66xrJuWlnzz8fGpdyu40WhkyzkRUS2YtBNdALv2EZEzFBYW4v6x96OivMJpx1iwYIFTXtfL2wurV61m4u4kXPKNiIhqw6Sd6ALYtY+InKG4uBgV5RXw6BkFQ0BTtcOpMyk+hYovc1BcXMyk3UmqL/kWGRlZYzuXfCMi0icm7UQXwK59RORMhoCmMAT6qx0GuZDqS74lJSXBw+N/K/NWVlZyyTciIp1i0k5EpAFlxQCgnZmjAVvMRFRX1Zd8M5lMiIuLQ3h4OPLy8pCeno7s7GzNLPlGRESOw6SdiEgDDmxXOwIiagixsbEwm82wWCxITExUykNCQmA2mxEbG6tidEREpAYm7UREGtAqBvAJUDuK+ikr5sMGoosRGxuLmJgY5OTkKEu+RUVFsYWdiEinmLQTEWmATwDgG2hQO4x60lZ3fiJX4unp6fLLuhERUcPw+PddiIiIiIiIiEgNTNqJiIiIiIiIXBSTdiIiIiIiIiIXxaSdiIiIiIiIyEUxaSciIiIiIiJyUUzaiYiIiIiIiFwUk3YiIiIiIiIiF+XSSfuiRYvQrVs3+Pn5oWXLlrjjjjuwZ88eu31EBGazGaGhofD19cUtt9yC3NxclSImIiIiIiIichyXTtq3bduGhx9+GN988w0yMzNx7tw5DBgwAKdPn1b2ef7557F48WIsWbIEO3bsQHBwMPr374+TJ0+qGDkRERERERHRpWukdgD/5D//+Y/dzytXrkTLli2xc+dOxMbGQkTwyiuvYM6cORg+fDgAYNWqVQgKCkJ6ejomTZqkRthEREREREREDuHSSfv5iouLAQCXX345ACAvLw8FBQUYMGCAso+3tzd69eqFr7/++oJJe3l5OcrLy5WfS0pKnBi1NhQWFir/v46Un59v97ejBQQEICgoyCmvTdpwUoMfXy3GTHQx+N1ir6yszGkxV2c0GuHj4+P04xARUcPQTNIuIpg2bRp69OiBzp07AwAKCgoAoMYXa1BQEPbt23fB11q0aBHmzZvnvGA1prCwEGPvvx/lFRVOO8aCBQuc8rreXl5YtXo1E3cdCggIgJe3F3Z957zz1pm8vL0QEBCgdhhETlNYWIj7x45FRbWH5I7mrO8WL29vrP7/PfccKT8/v0F6AaampqJ9+/ZOPw4RETUMzSTtiYmJ+Pnnn/HVV1/V2GYwGOx+FpEaZdXNnj0b06ZNU34uKSlB69atHResxhQXF6O8ogIPdfBGaJML/7+5mkOlgjf2lKO4uJhJuw4FBQVh9arVTmvFW7BgAebMmQOj0ejw1wfYS4TcX3FxMSrKy+HZozsMAf5qh1NnUlyCiq++dcp3i9FoRGpqap33v9hrkbOuW+w5QUSkDk0k7Y888gg2b96MrKwstGrVSikPDg4GUNXiHhISopQfOXLkHy/O3t7e8Pb2dl7AGhXaxIA2fp5qh1EPVrUDIJUFBQU59UbMaDSytYroEhkC/GEIvFztMFyCj4/PRV1TXOFaxJ4TRETqcemkXUTwyCOP4L333sMXX3yB8PBwu+3h4eEIDg5GZmYmunbtCgCoqKjAtm3b8Nxzz6kRMhEREZHbsfWc8O55BzwCrlA7nDqrLD6K8i/fZ688ItI0l07aH374YaSnp+ODDz6An5+fMoY9ICAAvr6+MBgMmDp1KhYuXIh27dqhXbt2WLhwIZo0aYK4uDiVoyciIiJyLx4BV8AzMOTfdyRyEc4a1gFwaAc1HJdO2i0WCwDglltusStfuXIlxo0bBwCYOXMmzpw5g8mTJ+P48ePo3r07Pv30U/j5+TVwtERERERE5CqqJlsei/IK5w3rAJw54bI3Vq3m0A5y8aRdRP51H4PBALPZDLPZ7PyAiIjIqeSEc2+snEGLMRMR6UHVZMvlGNMpAUGXhaodTr0Unj6EtFwLh3YQABdP2omISGeyDuPfH9cSERHVXdBloWjlH/7vOxK5KCbtRETkOmJDYGimrdU95EQ5kHVY7TCIiIjITTFpJyIil2Fo5g3DFb5qh1Fv7B1A5D60uh49wInLSD8OlRapHUK9XGq8TNqJiIiIiKDt9egBrklP+mHZm6F2CA2KSTsREREREf63Hn2rnpPg00xbE5eVnTiEA1+mcuIy0oWE9oMQ2iRQ7TDq7FBp0SU9aGDSTkRERERUjU+zUPgGXql2GER0AaFNAhHeVD8PpzzUDoCIiIiIiIiIaseknYiIiIiIiMhFMWknIiIiIiIiclEc014HB0+fVDuEetFavA1Jq8u4cAkXKisGtLawWJnjP2puRYpPqR1CvWgt3obE7xYiInImJu11sHT3DrVDIAcoLCzE2PvvR3lFhdOO4axlXLy9vLBq9WreXOlQQEAAvLy9cGC7885bZ/Ly9kJAQIDaYbikyi9z1A6BHEDLS4RxeTAiIm1g0l4Hk6/uhrDL/NQOo84Onj7JBw21KC4uRnlFBYZ18USgn0HtcOqs6KTgg10VXMJFp4KCgrB61WqntOIBVS14CxYswJw5c2A0Gh3++mzJuzCPnlEwBDRVO4w6k+JTfNBQC9sSYY169IEhoLna4dSZFB9HxVef8buFiEgDmLTXQdhlfgj3084XMf2zQD8DQgK0k7QTBQUFOf2m2mg0on379k49BtkzBDSFIdBf7TDIQQwBzeER2ELtMOqsUu0AiIiozpi0E+lcWVlZncdLXuz4SqPRCB8fn3rHRkREROqrz73CxeK9AtGFMWkn0rn8/HxMmjSpXr9T3/GVqampbMUlIiLSqIu5V6gv3isQXRiTdiKdMxqNSE1NdfoxiIhI+yqLj6odQr1oLV5XVZ97hYudK4X3CkQXxqSdSOd8fHz4ZJuIiOqk/Mv31Q6BVHAx9wqcK4XIcZi0ExEREVGdePe8Ax4BV6gdRp1VFh/lgwYi0jwm7URERERUJx4BV8AzMETtMIiIdMVD7QCIiIiIiIiIqHZsaSciIiK6RFJ8XFNrn0vxcbVDIJUVFhaiuLjY4a97scvD1kdAQACCgoKc9vpEroZJOxEREdElOvfVZ2qHQFRnhYWFGDt2LMrLy512jPouD1sf3t7eWLVqFRN30g0m7URERESXqFGPPjAENFc7jDqT4uN80KBjxcXFKC8vR7/oh3G5f5ja4dTLsZKD2JKdjOLiYibtpBtM2klxuFRLHfu0Fy8RkR5JcYnaIdTLxcZrCGgOj8AWDo7GefgNSgBwuX8YWlwernYYRPQvmLSTYtmeCrVDICIiN2P96lu1QyAiItI0Ju2kmNjBCyFNtLOgwOHSSj5oICJycZ49usMQ4K92GHUmxSV80EBERC6FSTspQpp4oI2fp9phEBGRGzEE+MMQeLnaYRAREWkWk/Y6OHj6pNoh1IvW4m1oR0+J2iHUi9biJbokxRXQ3BlffHE9fqT4lIMDcS6txUt0KcpOHFI7hHq7mJiPlxx0QiTOpcWYyfEOlRapHUK9XGq8TNr/QUBAALy9vLB09w61Q6k3by8vBAQEqB2GS9r8o1XtEIjoPAEBAfDy9kLFNu3dKAOAl3fdr7lKXb/McXJUjlefehJp2YEvU9UOoUFkZierHQJRvVTlZ96w7M1QO5R68/byvujvUCbt/yAoKAirVq9GcXGxw187Pz8fCxYswJw5c2A0Gh3++gEBAVwG4wKGdvXEFU0NaodRZ0dPCR80kNsLCgrC6lXOud4CrnXNdWZdXameRFrWquck+DQLVTuMeik7cajeDxv6Rz+M5hpb8u14yUE+bNCxqvxsle6+Q5m0/4ugoCCn3qAYjUa0b9/eaa9PNV3R1ICQAO0k7UR64ezrLeA611x+t7gfKT6uqWXUpPi42iG4NJ9mofANvFLtMJyuuU6WfCs8rb1eXFqMuaHo8TuUSTsRERHRRaoa7uCNiq8+UzuUevPyvviumkRakpZrUTsEokvCpJ2IiIjoIlUNd9BfV00iLRnTKQFBl2lruEPh6UN82EAKJu1EREREl0CPXTWJtCToslC08nf/YQDkvpi0ExERkdNIcYnaIdSL1uIlIqqvsrIy5OfnO/UYRqMRPj4+Tj2GnjBpJyIiIof731jvb9UOpd441puI3Fl+fj4mTZrk1GOkpqayh5ADMWknIiIih+NYbyIi12Q0GpGaWvflAS/mmuuMa7OeMWknIiIip+BYb/dTWXxU7RDqRWvxNrRjJQfVDqHetBhzQygsLHTKQ9KLVZ/u93xQ+u+YtBMRERHRP7INdyj/8n21Q6k3DneoKSAgAN7e3tiSnax2KBfFm++pncLCQoy9fyzKK8qdepwFCxY45XW9vbyxavUqJu7/gEk7KQ6VCgCr2mHUWVW8RERE5Gwc7uBegoKCsEqj7yfA9/R8xcXFKK8oR3z4fQj10db/y6GyQqTkvY3i4mK+p/+ASTtVPW318sIbe5z7dM4ZvL28+KSViIioAXC4g3vh++l+Qn2CcOVlrdUOg5yASTtVPW1dvVqTT1sv5klr0UlttdBrLV4iIiIianiHzhSqHUK9aTFmNTBpJwD6eNpq61Hwwa4KVeO4GOxRQERERET/JOWvt9UOgZyESTvpht56FBARERGRfsRfeR9CfbV1v3joTCEfNtQBk3bSFT30KCAiIlJbWVlZnZd8su1XnyWigKrvXB8fn3rHRvXH91MbQn05pt1dMWknIiIiIofKz8/HpEmT6vU79V1OKjU1lQ/KG4jW38/C04ec8rrOpMWYyXmYtBMRERGRQxmNRqSmpjr9GNQwtPp+Vs1n5I20XIvDX7sheHvVbz36Q2Xam9RNizGrgUk7ERERETmUj48PW8HdiFbfz6r5jJyzHj3gOnMa2R5OpORpc2x4fR9O6BGTdiIiN1KfcYfAxY095LhDIiLSivrMZ1Tf79CL4YzvUL08nNAzJu1ERG7kYsYdAvUbe8hxpERE5I60/B3q7MmWAU64rCYm7UREbkSr4w6JiIjUxu9QclVM2omI3IhWxx3WF4cBEJEzlZ3Q3szdWozZ1fA7tHZa/Q51p3oyaSciIs3RchdGInJdAQEB8PL2xoEvndva6ixe3pzQi/6dXr5D3ameTNqJiEhz2IWRiJwhKCgIq1c5Z0IvZ0/mBXBCL6obvXyHulM9mbQTEZHm6KULIxE1PGdP6MXJvEhtevkOdad6Mml3kIYYMwG4xvgQvajPe8r3k4jo4unlO1Qv9SQiIsdi0u4gDTFmAnCN8SF6cTHvKd9PIqL608t3qF7qSUREjsWk3UEaYsyE7TjUMNxpHAwRkSvTy3eoXupJRESOxaTdQdxpzARV4XvqXjjcgbTInZar+Sd6ud7qpZ5ERORYbpO0L126FC+88AIOHz6MTp064ZVXXkHPnj3VDouIXASHO5AWudNyNUTuiA+EiaghuEXSvn79ekydOhVLly5FTEwMUlNTMXDgQPz666/sIkZEADjcgbSJ5y2Ra+MDYSJqCAYREbWDuFTdu3fHddddB4vFopRdffXVuOOOO7Bo0aJ//f2SkhIEBASguLgY/v7+zgxVd/bu3YtJkybxC4eIiIjcTn2HsFwMtrQTua+65qGab2mvqKjAzp07MWvWLLvyAQMG4Ouvv671d8rLy1FeXq78XFJS4tQY3QmXqyEiIiKqwnkKiKghaD5pP3r0KKxWK4KCguzKg4KCUFBQUOvvLFq0CPPmzWuI8NwOl6shIiIiIiJqOJpP2m0MBoPdzyJSo8xm9uzZmDZtmvJzSUkJWrdu7dT43AWXqyEiIiIiImo4mk/ar7jiCnh6etZoVT9y5EiN1ncbb29veHt7N0R4bofdwIiIiIiIiBqOh9oBXCovLy9cf/31yMzMtCvPzMzEzTffrFJURERERERERJdO8y3tADBt2jTcd999uOGGGxAdHY1ly5YhPz8f8fHxaodGREREREREdNHcImm/++67UVRUhGeeeQaHDx9G586dkZGRgTZt2qgdGhEREREREdFFc4t12i8V12knIiIiIiKihlTXPFTzY9qJiIiIiIiI3BWTdiIiIiIiIiIXxaSdiIiIiIiIyEUxaSciIiIiIiJyUUzaiYiIiIiIiFwUk3YiIiIiIiIiF8WknYiIiIiIiMhFMWknIiIiIiIiclFM2omIiIiIiIhcVCO1A3AFIgIAKCkpUTkSIiIiIiIi0gNb/mnLRy+ESTuAkydPAgBat26tciRERERERESkJydPnkRAQMAFtxvk39J6HaisrMShQ4fg5+cHg8HQIMcsKSlB69atsX//fvj7+zfIMdXAeroX1tP96KWurKd7YT3dC+vpXvRST0A/dWU9nUdEcPLkSYSGhsLD48Ij19nSDsDDwwOtWrVS5dj+/v5uffLbsJ7uhfV0P3qpK+vpXlhP98J6uhe91BPQT11ZT+f4pxZ2G05ER0REREREROSimLQTERERERERuSgm7Srx9vbG008/DW9vb7VDcSrW072wnu5HL3VlPd0L6+leWE/3opd6AvqpK+upPk5ER0REREREROSi2NJORERERERE5KKYtBMRERERERG5KCbtRERERERERC6KSTsRERERERGRi2LSrlGcP5CIiKju9PK9abVaAfyvvnqptzurrKxUOwSnsdXt3LlzKkdC5NqYtGvQqVOnYDAY3PoiTtrz559/4uzZs2qHQU6kt2uO3upr445JXmVlJQwGA/bv34+9e/eqHY7TVFZWwtPTE99//z169uyJs2fPwmAwqB2WU9g+n+54vp7Pw8MDhw8fVjsMp/Dw8MC+fftgNpuRl5endjgN4syZM2qHQBrEpF1jnnzySbRt2xbHjh2Dh4eHbm8qybVs3LgR7dq1Q2Zmpu6elts+g+c/sHC3G8nKykp4eHjgzz//xKJFizB79mx8/PHHaoflNLb6Hjp0CBkZGUhJSVE7JIerfu6Wl5djz549bvngzfZe/vjjj7jhhhuQk5OjdkhOYavnTz/9hD59+qBr165o3Lix2mE5ha2uf/31F1555RXMnDkT+/btUzsspzl16hQGDhyI2267Te1QnOKjjz7CmjVrkJyc7NbvIwBkZmZixowZ+Ouvv9QOhTSGSbvG9O3bF+3atUOfPn1QVFTExJ1cwsiRI3HbbbfhwQcfRGZmplve+F+Ih4cHfv31V4wfPx7Lly8HUJWwu1NvmOrJQM+ePfHpp5/i888/x1133eWWibutvr/88guGDh2KNWvW4IcffnCr1hFbHf/44w/MnDkTN954I3r06IHrrrsOL774Ig4dOqR2iA5R/dzt0aMHxo0bh7vuukvtsByuej2jo6PxyCOP4PXXX1c7LKeo/vkcPHgw/vvf/6Jx48Zo06YNAPfsZt2oUSM8/vjj+O9//4tRo0apHY7DPfzww3j00Ufx2Wef4dVXX3XrxH3nzp3YsmULlixZ4tb1JCcQ0pyvv/5a+vXrJ9dcc42cOHFCRESsVqvKUTnOgQMH5IMPPpB58+bJSy+9JHv27JFTp06pHRZdQHl5ufLvYcOGSWhoqGRkZNiVu7Nz587JhAkT5KqrrpLWrVvL8OHDZe7cuXL8+HG1Q3MI27Xlp59+El9fX5k9e7ZUVFTI/v37pV+/fpKcnKxyhI5VWVkpIiK//vqrNGvWTJ588kkpLCxUOSrHqv6etmnTRsaOHSvz58+Xd955RwYMGCDNmzeXESNGyL59+1SO9NLY6rlr1y7l3K1u586dcuzYMTVCc4rff/9dAgICZNKkSXblb7zxhqxYsUKlqBzr/M/njBkzpKioSNm+bt06WbZsmZSUlKgVosPZ6nzy5EnZsGGDtG3bVu69916Vo3Kc6vevL7zwgnTt2lUee+wx+euvv1SMyrleeuklXdRTj2yfV9vfjsSkXSOqX9Q2bdokTz31lBgMBunevbvyheUOiftPP/0kbdu2lV69ekloaKi0bNlSvLy8ZMqUKbJ37161w6Na2C5MP//8s3z66afi6ekpkZGRkpGRIWfPnlU5uoaRkpIid999t5w4cUJSU1OlX79+0qZNG5k/f7589913dvs640LubBdKBm677TYZMmSI9OzZUx5//PEaddWqkydPyqBBg2rUV4vv3fmqJ7KXXXaZzJo1S06fPm23z9y5c6V169by4IMPKg+GtepC5+68efOkU6dOsn//fpUic7zly5dLixYtZNasWcoDlwULFkjTpk3l66+/Vjk6xzl58qQMHjxYJk6caFe+YMECMRgMEhERIStWrJCTJ0+qFOGlsX1Gbd+flZWVdt+lcXFxYjAYZPTo0arE5wx6Sdz1Uk+9st0jZGZmysyZM2Xy5Mny+++/O+xemEm7xkybNk2uuuoqMZlMMmLECGnVqpVERUXJ0aNHRUTbifuePXskMDBQnnzySTly5IiUl5fL0aNHZerUqeLl5SXjxo3TfMuPGhrinHj//felcePG8swzz0h8fLzccMMNEhwcrJvE3Wq1Srt27eSll15Syt5++23x8/MTX19fSUxMlA8++EDFCC9NbcnAwoULxdvbWx5++GF57LHHxNfXV2677Ta36GFw5MgRad++vWzYsKHW7VpP3s9PZG31qd47JjExUfz8/OTbb7+120drajt3Fy1aJFdccYVkZGSoHJ3j2Vrw5s6dKzNmzJCWLVvKf/7zH7XDcqgjR45Iu3btZN26dUrZJ598IgaDQT7//HOZMGGCdOzYUZYvX67ZFve//vpL5syZI3/++add+QsvvCCBgYEyZ84cadOmjYwcOVKlCB3vQgmtu933MXF3bx9//LE0btxYbr/9dmnTpo0EBwfLunXrajwcvxhM2jXkxx9/lNDQUPn000+Vso8//li6desm1157rdLN79y5c2qFeNHOnj0rjzzyiIwdO1ZEatZh9uzZ4unpKW+88YaIaPcGUi1FRUXy6quvOuW1i4uL5brrrrPremq1WmXQoEFK4u7OXeVt5+qbb74pI0eOVC7MEyZMkA4dOsiKFSukf//+EhQUJIMHD9bsuXt+MtCiRQv55JNPlO0ZGRliMBgkMzNTxSgd47vvvhODwSA//vijiNR+vSkrK5PXX3+9gSNzDFsiO3v2bOVG0VZH2w1lRUWFhIWFydNPP61WmA5z/rl7xRVX2J27NgcPHlQhOseongg8//zz0qFDB/H19ZXVq1eLiHt9Z3777bdiMBhk165dSlllZaXk5OQoP48bN05atGghX375pRohXrIlS5ZImzZtZNq0aXYPSi+//HL5/PPPpbKyUtavXy9Go9GtW9y7desmDz30kOTn56sYleMxca+ixXylNrbr6/Hjx+XRRx+VZcuWKdvuu+8+CQsLkzVr1lxy4s6kXUO2bdsmvr6+snv3bqWsoqJCNmzYIN7e3tKjRw/5+++/VYzw0nTv3l0ef/xxu7LqH+iBAwdKx44d3ToBdIbKykpZunSpGAwGee655xz++qdOnZKoqChZunSpiFSdkyJV7921114rXbp0kffff18pd1c5OTkSGhoqn332mTz88MMSEhIiO3bsEBGRo0ePyhdffKHJIR7/lgycO3dOrFar7NixQ9q1ayfZ2dlqheowe/bskcsuu0xefPHFC95UfPzxxzJw4EDNdsG1JbJTp06t9UaxoqJCIiIi5Mknn1QhOsf4t3O3+naz2Sz9+/eX0tLSBo/TUarX5/XXX5dOnTrJ9OnTazyY0brdu3dLkyZN5KWXXqrx+bT17Pr+++/lhhtusEvstWbx4sXStWtXMZlMMnPmTLniiivsek2UlpbKxo0bpWnTpjJu3DgVI6072zn4yy+/yK5du2o9J6ufx88884zExsZKQUFBg8XoKP/Wy7G2xH3atGluNWSnrjIzMzWdv4iIfPPNN9KqVSu58cYb7RpXRaoS99DQUElPT7+kObqYtLuo2i5kR44ckc6dO8tLL71k92E/ceKEXHPNNdK4cWOJi4tryDAdwmq1ytGjRyUqKkqeeuopEbHvpmn7ErZYLBIWFiYHDhxQJU4tOf/LYv/+/bJ48WKnPdXs0aOHDBw4UPnZlqDbxt517NjRrScTtH1e58+fLwaDQcLCwpRWWndwoWQgLy9PKZ8zZ4506tRJkzdXtRkyZIgYjUb56aefat0+c+ZMGTt2rJSVlTVwZJfm31p4KisrpbKyUn799Vfp2bOn0iKt1YSvLufuU089JY0aNZKdO3eqEKFj1fb+XujBjJYNGTJE2rRpc8HP54wZM6R///52k9RpRV16Tdg+j6WlpfLee+9p4oGwLeZ3331XWrVqJa+++uoF7+eq/x9o/T3MyMiQ77777l8fUDz//PNy7bXXygsvvOA2LdB1sWrVKjEYDPLiiy9qbojv+e9p7969xWAwSEpKSo33cPz48eLj4yMbNmy46O9TJu0uqPpJe/r0aeXpk9VqlYceekhuvvlmeffdd5V9CgsLZfjw4fLJJ59o7oSvbuTIkRISElJjRnzbyZ2amiqRkZFSXFysWoxacvz4ccnLy6txTlzKGHPbe/H333/LsWPHlC/czMxMufLKK+XRRx+123/atGmSnZ2tmyfHX3/9tURERMiaNWtExH26fonUTAa6dOkiU6dOlb///lsWLlwovr6+bvGgovpEbR07dpQOHTrIV199pbTAHjlyRGbNmiVBQUHy66+/qhnqRbtQYlc9kZ0xY4bcdNNNbvEQ5t/OXR8fH/n+++9VjNCx3LmLsa1uP/74o3To0EE6dOgg27dvlzNnzoiIyKFDh2TGjBni7+8vP//8s5qhXpK69JrQ4oO0jIwMueyyyyQ5ObnW+U+qf2dq9X62+vvyxBNPSJs2bSQtLe2CDx+q13P27NkSFBSkuetufWZMr+19feCBBzT7ffrpp5/a3fv2799fQkJCZOvWrTXuAePj4y/pARuTdhdT/YRPSkqSW2+9VZo3by4PP/ywfPzxx3L69Gm59dZbpXv37jJu3DhZtmyZxMbGSq9evZQPghYShT/++ENMJpNMnjxZnn32WRER2bp1qwQGBsqdd95Z68Vt0qRJMnLkSM21bKnh7NmzMnbsWAkNDZXff//dIa9pOzc/+OADueWWW6RDhw7Sq1cvefHFF0Wk6sYiPDxc+vbtKwsXLpSxY8eKr6+vXSKgByNGjJAbb7xR7TCc4vxk4MYbb5TOnTu7XdIjUvUZyszMlK5du0qTJk3kpptukn79+knPnj2lTZs28sMPP6gd4iW5UOJ+9OhRWbRokQQEBGg66Tnfhc5db29vzZ27eupifCG1fT779OkjMTExEh4ervnPp8i/95rQWtJ+5swZuf3222XatGkiUtUo9fvvv8sLL7wgFotFeTCqtXpdyIIFCyQ4OFi+/PLLWod1Vr9Xt/37wIED0q5dO/nmm28aLE5HuJgH9u5yPdq4caO0aNHCbrLh3r17S6tWrWpN3C8Fk3YXZTKZpEWLFrJ27VrZsmWLXHvttXLNNddIcXGxFBUVyfz586Vnz55y/fXXy9ChQ5XuyFp4Mrlr1y4JDg6W/v37S9u2bcXf31/p1v/kk09KcHCwxMbGys8//yyFhYWSl5cns2fPFj8/P7uJZshe9S86q9UqW7ZskREjRjj0gpGRkSE+Pj7y6quvyvbt2+Xpp58Wg8Eg3377rZSUlMgXX3wht956q/To0UP69Omj6fGE1dXnJnnnzp0SHBwsa9eubdAYHaG+ycDChQulU6dOF+yi6g5OnDghZrNZxo4dKyNGjJDXX3+9xozOWqXnRFar566euhjXxfHjx+Xpp5+W++67T+666y55/fXX3epBsTv1mqioqJA777xTHn30Udm5c6ckJiZKv379JDQ0VLp06SL33XefJhqd6uLYsWPSo0cPsVgsIlKVjH/xxReSkJAgzzzzzAUnJFu0aJGEh4drKqFdt26dXH/99XLixIkaPWQv5Nlnn5WwsDD57bffGiJEhzq/bgcOHJD77rtPJk2aZPe+9enTR8LDw+U///mPw85rJu0u6Pfff5frrrtOtmzZIiIiX375pfj4+Mibb75ZY99jx44pJ5AWltb6+eefxdfXV5566ik5e/asHDlyRJ5//nnx9vaW//u//5OzZ89KUlKSdOjQQTw9PSUwMFCuv/566dSpk1t0vXWW6uPbbE+ra3uKeynOnj0r48ePl6SkJBGpmmn5yiuvlPj4+Fr3dZceEfW5SRapGjowcOBAzSV2F5sMaHWJt7okeVrHRLYmdzh39dTF2J0/nyLu3WuitrrMnz9fOnbsKN7e3jJq1ChJT0+X06dPy4wZM2T48OEqROkcRUVFEhMTI3PnzpW1a9fKqFGjpGfPnnLTTTfJNddcI4mJibX+/6xbt05zPZx++OEH5SHS4cOHlfJ/+sxaLBbp3r27/PHHH06Pzxk+/vhjGT58uBw6dEhEqoaINmvWTDZv3my3ny1/ccRybyJM2l3C+V+qeXl50rlzZzl37pxs2rRJmjZtqjytKy0tlfXr19dYt1ILX2gFBQUSEREhN998s13577//Li1atJC33npLRKrqcvjwYVm7dq1YLBbZsmWL3YVAT+pzw1VSUiKjR4+WRx55xGEXiOrKy8vl2muvlTVr1sjff/8tYWFhMnHiROXce+utt+Szzz5z+HFdQV1vkm3vlxYeoNVGD8mASP2SPC1cW2vDRNaeu5y7euhirIfPp4h795qw1W379u2ybNkyeeKJJ5Sekr/99pt8/vnnIvK/eiUkJCjDH7X2nl7oejJv3jy59tprxcfHR5588knZtm2biFQtR/jwww83ZIhOsWHDBrufc3JypH379sqcPiI1516ovoqQbf4qLamsrJSKigrp37+/GAwGueuuu2Tx4sVy7NgxefnllyUoKKhGLxhHTgLKpN2FPPLII7J06VL55ZdfpGXLlvLUU09J8+bNZcmSJco+33//vdx+++3y9ddfqxjpxcnLy5NRo0ZJbGysXZ1+/vlnadKkiWRkZKgYnWtLS0tTvuQuxGq1So8ePWTIkCFO+dI7d+6cxMfHy5QpU8RoNNol7CdOnJAHHnhAXnvtNbfp3mZzMTfJWrvpENFHMlBdfZI8rWIi637nrl66GOvh8yni3p/RTZs2SUBAgIwePVq6d+8uXbp0kUceecRufPdff/0lTzzxhAQEBGhy+GP192T58uXy5JNPyv333y/btm1TGqDOn3isb9++NZY31prffvtN/P39ZciQIUrZ999/L2PGjJGoqChZv359jd+ZMWOGLFmyRJPLap4/0V5ubq60b99ebr31Vpk5c6Z07dpVFi9eLEOGDJEZM2YoE2M6GpN2FVW/gfj2228lMDBQvvjiCxERmTVrlhgMBrsPdmlpqQwePFgGDhyoqYt3QUGB8mR47969MmHCBOnevbu8/fbbUlhYKGFhYTVmHacqlZWVcuzYMWndurWYzeYL7ld9EsK6jin6t+OKVCXj1Z/qr1mzRgwGg9x8881y5MgR5ZhPPvmkREREaLar0z/Ry02yXuopoo8kTw91tHHnc1ePXYz1cu66cz1zc3OlTZs28sYbb4hI1bjfRo0a2d3HbN++XQYMGCBRUVGaH/44Y8YMadmypcyYMUOGDRsmbdu2lRkzZii97oqLi2Xnzp0ycOBA6dy5s2Z749mUlpbKxo0bpW3btjJ06FClfOfOnfLggw9Kx44d7RL34uJiGT58uAQFBWm2N1dWVpZ89NFHSs/fl19+WSZNmiTbt2+XN998Uy6//HJp2bKltGjRwmnnM5N2F/D666+L2WyWZ555Rinbu3ev3HfffeLh4SFPPPGETJ06Vfr27SudO3fW1KRzx44dk9tuu01Gjx4tR48eFZH/Je7XX3+9NGnSRBITE0Wk6otJC3VqSLYv6+XLl4vRaJRffvnlgvtW/7+7lP9H2zE3b94sN998s3Ts2FG6desmy5YtExGRF198UZo2bSqjRo2ScePGyejRo6V58+aa/9K10ctNsl7qWRt3TvJs3LmOejl39dTFuDp3Pnerc5d6bty4scYD+88++0xuuOEGEam652vTpo089NBDynbb8l6ffvqpJifVqy4jI0PCw8OVyTszMjKkUaNGsm7dOmWfjz/+WHr27CmDBw9W7uG18N7Wpvr95bvvvitXXXWVMpm0SFWLe22Je0FBgRw8eLBBY3WkkSNHSqdOneSee+6RnJwc2bt3rwwePFiZNX7nzp0yceJEufLKKx3aJb46Ju0NrGfPnvLaa68pPx8+fFj69esnBoNBmdDL9mV79OhRWbx4sfTq1UuGDx8uM2fOVJ7OaeUpXWVlpZjNZunZs6dMnDjRLnF/8MEHJTw8XF5//XVlf61exBzl/Bst28Vx9+7dcvPNNyuTETr7/+njjz+Wyy67TBYtWiR//vmnjB49WgICAmTr1q0iIrJq1Sp59NFHpX///jJ79mzZvXu3U+NpKHq5SdZLPW30kOTpoY4i+jt39dDFWG/nbnVar+eXX34pMTExNcbir1u3TmJjY+XYsWNiNBrloYceUj6T27ZtkxkzZkhhYaEaIV+SF198scZDhtWrV0vfvn1FpKrefn5+snTpUhEROXXqlOzcuVNERL755hvNz3sj8r/z+LPPPpPJkyfLNddcIwaDQUaNGqXsY0vco6KilPmq3MHGjRtl9OjR0qRJE0lLS5OHHnpIjEajci4fO3bMqWP1mbQ3oHPnzsn7779fY1btb7/9VkaMGCFNmzZVWlKrX9zPHxuhlcS2ejft559/XqKjo+0S9//+978yYcIEuemmm5QLnJ5Vf89XrVoln376qd32yZMnS9u2bR16sbe9R9WfnJaVlcmoUaPkySefFJGqSW/Cw8Nl8uTJNW46tHgT/G/0cJMsop966iHJ00Mdq9PLuauHLsZ6OXfduZ5///23iFSdr7bx24cPH5aAgIAawzxFRB577DHp37+/JibUq+6dd96RUaNG1bgHf/HFF2XIkCGybds28fPzk+TkZGXbhg0bZPr06XZdwt2hR+nHH38sjRo1kpdeeknWrl0r06ZNk+DgYBk2bJiyz86dO+Wee+6RG2+8UUpKSlz+PK6u+tj1bdu2yfvvv2+3/dVXX5W2bdvKAw88II0bN5bJkyc7bRx7dUzaVbJgwQJ55JFHlJ9//PFHue222yQ0NFRyc3NF5H9P4qp/wLV00ovYJ4W1Je579uyRiRMnSseOHZUbE73bvn27jBw5UgwGg4wfP17pmbFv3z6JjY1Vuqlf6rlge2/y8vJk2bJl8sMPPyjbbrnlFvnyyy/l6NGjEhISIhMnTlS2vfvuu5q9Cf43erhJFtFPPW30kOTpoY4i7nvu6rmLsV7OXXerZ/UGhMLCQomMjJQHHnhAWXt79erVcsUVV0hCQoIcPnxYfvzxR5k5c6Ym6nYhtoT9448/VnoY5uXlib+/vxgMBlm7dq2y75kzZ2TgwIHywAMPaO7evbrzu7SfPXtWHnroIRk3bpxSVlpaKunp6dKyZUu7Fvddu3Ypy6Jphe292rhxo7Rs2VI6duwojRo1kujoaFm/fr0yvGH79u0ya9Ys8fLykvbt2zfIbPhM2hvI+U/mkpOTxWAwKK2ZIlVrHQ4ZMkRat26tXAzc4Ymc7QSvrKyUl156SW666Sa7xP3XX3+VRx55RPLy8lSMUj0ffPCBMhZq9uzZYjKZxGq1ymeffSYJCQnSunVr6dGjhzz77LMSExMjkydPvuRj2s6rn3/+Wdq3by933nmn3ez9ffr0kTvuuEMiIiIkISFBeQ9tk4kkJydr+ktIRD83yXqp54W4a5JXnbvWUS/nrt66GFfnrufu+dy5nps3b5Zjx45JSkqKdOvWTSZPnix5eXly9uxZeeuttyQwMFBCQ0OlY8eO0qVLF03Vzab6UmV79uyRsLAwiY+Plz179ohI1bxDzZo1k/j4eNmxY4d88skncuutt0pUVJTycEOL90wrVqyQVq1ayZkzZ+ziHzp0qPTp08du3zNnzkhCQoIYDAYZOHBgQ4fqUDt27JDmzZvLypUrZf/+/XLo0CEZOHCg9OzZUzZs2KD8X5SWlspPP/0kv//+e4PExaS9gdmeWFmtVlm5cqU0atRIZs2apWz/4YcfZNiwYdKoUSOnTWTgTNU/1OfOnVMeVhQUFMiff/5p11U+ISFBmYG8+gVRT4qKiuSOO+4Qf39/uffee8XLy0t27dqlbC8rK5OjR4/KpEmTZMyYMWIwGMRgMMjmzZsv+di7d++W5s2by6xZs2o8Sf34448lIiJCOnToYFc+Z84cadu2reZnidfLTbJe6mmjhyRPD3UU0d+5q4cuxno5d/VSTxGR7777TgwGg6xYsUJERJYsWSJdunRREneRqnM7MzNTfv75Z+WeT6vmzZsnJ06ckJSUFLnhhhtk8uTJ8tdff8m5c+dk3bp1YjQaJTQ0VLp27SrDhg3T/KRztnt3EZGSkhKlfPny5XLjjTcq8xzZvPHGG9KtWzfp3r277Nu3r0FjdaSVK1fKtddeKydPnlS+X44dOyb9+vWTXr16qRYXk/YGlJ6eLr6+vrJ9+3YRqUrcV6xYUSNx/+abb2TGjBma+pBbrVYlYbd1jbL566+/pGXLlrJ8+XJl3xdffFGuvvpqmTp1qt3v6sXLL7+s/Hv//v1iNBqlUaNGStcqW3e56j0tTpw4IW+//bZ07dpVpkyZUmN7fZSWlsqIESPk4YcftiuvqKiQgoIC2b59u8yfP186d+4sffr0kSlTpsg999wjzZo1s+tGr2V6uEkW0U899ZDk6aGO1enh3NVLF2O9nLt6qaeIyC+//CLLly+X5557zq48OTlZSdzPvx/Umur3WGlpaWIwGOTrr78WEfsHFNUT29zcXDlw4IByX6vlSedsdu7cKf7+/sqker/88ovceOONMmrUKMnMzFT2mz59ujz++ONy6tQptUK9JLb37PXXX5d27dop751tvPrvv/8ujRo1km3btqkSH5P2BlRZWSm33HKLXHnllcqH3pa4e3l52XWVt9FC4r53716ZNGmSiIisX79eQkJClJuJAwcOiL+/v0ycOFEqKyuVD4TVapXXXntNl13iMzMzpVu3bsoT2P3790vv3r2ld+/eEhwcLN99952IVL33tT3MWL16tfj5+V3S0hkVFRXSo0cPu5n7//Of/8jUqVOladOm0rlzZ7nuuuvkk08+kbi4OLn99ttlypQpbjFLvF5ukvVSz+r0kOTpoY56PHf10MVYD+euiD7quW/fPrnhhhvEz89PFi5cKCJiN8lycnKydOvWTe6//37N98wTEfnwww8lKSlJ1qxZY1due0Dx8MMP13p/5A5DXEWqrsP9+/eXFi1aKA03X3/9tXTv3l2uu+466datmwwePFguu+wyZV4urajtPnv37t3i5eUlSUlJduW//vqrdOjQwa5HbENi0u4k539QbSdFZWWl9OvXT1q1amWXuL/55ptiMBjEYrE0eKyXavv27WIwGKRPnz5iMBiU5R0qKyslMzNTnnzyyRrd5vWses+CTz75RESqkui9e/fKXXfdJUFBQUriblM9QT969Kh06tRJ6bFxMYqLi6Vjx47y0EMPye7du2XhwoXSoUMHueuuu+SVV16R5cuXS8eOHWXu3LnK77hbbwg93CSL6KOeekjy9FDH8+nh3BVx/y7Gejl39VJPkap7iBdeeEEiIiKkd+/eSnn1SfVefPFF6dWrlxw+fFiNEB1mx44d0q5dO7nsssuUtdfPf0Bxww03SFxcnOzfv1+tMB3Kdr+3Z88e+e9//ysiVef0nXfeKc2aNVNa3Hfv3i3r1q2T+++/X2bMmKGsgKUVtnru2LFDli9fLlu3blXut1977TXx9vZWhkQcPXpUTCaThIeHqza5HpN2J1u+fLkyQUH1pKdv375iNBrtEvePPvpIs91o5s6dKwaDQXr06GFXrtX6NIRffvlFDAaD3cRyP//8s4wYMUJCQkLkm2++ERGRUaNG2T3te+qpp8RgMFxSS7uIyNatW6VRo0bSpk0b8fPzk5SUFOXiXFFRIQMGDJB7771X2d+dknZ3v0m20Us9bfSQ5OmhjiL6OXf10MXYRi/nrjvWs/r3v+2+7vTp02KxWCQ8PFzGjx+vbK+euB87dqzhgnSQ8+91jh8/Lq+88oq0atVKbrvtNqW8ej2ff/55GTdunFu0rNvq/+6770rbtm1l6dKlytCNQ4cOyR133FHrUEmt1n3Tpk3i7+8vV111lbRu3Vruvvtu5Zq7ZMkS8fX1lTZt2sjVV18tISEhygMLNTBpd7DqH/bTp09Lq1atpHPnzspNhm37yZMnpV27dtKtWzf54osv7F5DK4lu9bquXLlSpk2bJgEBATJmzBi7CSuq0+qH2hFqW+M8LS1NmjZtKomJiUr5zz//LPfcc48YDAa5/vrrJSIiwm6ivi1btiizzV+q/Px8+f7775XufDZWq1VGjhyptLS7U8Kul5tkvdTTRg9Jnh7qKKKfc1dPXYz1cu66Yz1t3/+ZmZkydepU6devn6SkpMgff/whVqtVlixZItdee61MmDBB+Z3qCa2WnH+PahubfebMGbFYLNKuXTt54IEHlO3V61l9+KfWffTRR3LZZZfJq6++WuP+sKioSG6//XZp0aKFw+5FG5rtvTp06JCMGTNGVqxYIWfOnJG33npL+vfvL/3791eGO/z++++SlpYm7733nuqT6zFpd6DqiY3t6eLhw4ela9eu0qVLF2WiCpGqC8DgwYPFy8tL7rjjjgaP9VLZ6vrll1/KW2+9pVzYtm3bJv7+/jJmzBg5ffq0sv+ldOV2Ny+//LLSLV5EZO3ateLj42OXuP/999+ydu1aefnll5WHOBUVFQ2SPJeXl8vcuXMlNDRUGY/nLvRyk6yXetroIcnTQx1F9HXu6qWLsV7OXXeu53vvvSd+fn4SHx8vJpNJwsLC5LbbbpPCwkIpKSmR1157Ta677jq7Nbq1pnqy/eKLL8ro0aOlQ4cO8sILL0hubq6cO3dOXn/9dbn22mvlwQcfVPat3tDmDg0cJSUl0qdPH6XRprS0VA4cOCApKSmyYcMGZZ/evXtLeHi43fVZS77//nsZMWKEDBw40G5Yw7vvviv9+/eXfv36yU8//aRihDUxaXeQ6h/2JUuWSEJCgpLwFBQUSFRUlHTt2lX++OMP5QP+wAMPyO+//665p3K2i9I777wjAQEB8swzzyjLlYiIZGVlib+/v4wePVpyc3PlqaeeEqPRKAUFBWqF7FJuueUWad68uV0PC1vi/sgjj9T6Ow01D8Dbb78tjz76qAQFBbnNLPHV6eUmWS/1FNFHkqeHOtq487mrpy7GNno5d925nvv375drr71WmXOpsrJS/Pz8ZObMmco5ffr0aXn++eelR48eqo33dZTZs2dLUFCQLF68WFJTU6VZs2YyfPhwOXXqlJSUlMjrr78uXbt2lbvuukvtUJ3izJkzctttt4nZbJbffvtNHn/8cenTp4+0aNFCOnbsKDNmzBCRqkZJLY/hT0lJkY4dO0qLFi1qLLH97rvvyqBBg6Rbt252+Y3amLQ7QPWkOzc3V0aOHCnNmzeX6dOnK92hCgoK5Nprr5XWrVvLvffeKzfffLNcc801yu9qbXK2bdu2SbNmzeSNN96wK7e1rn/99dfi7+8vHTt2lJYtW2q2C82lutADmeHDh0vLli3l888/V8rWrl0rl112mYwdO7ZhgjvPb7/9JrfccovceeedLnWRuhR6uUnWSz1r485Jno0711Ev566euhhX587nbnXuUE/b/cr59y0HDhyQrl27yunTp2Xv3r0SFhZmt8Z8dna2WK1WOXnypOY+l+fbuXOndOzYUZlvaseOHeLp6SmrVq1S9jl9+rQsWrRI7r//fs01up3vQj0DJk6cKJ07dxYvLy8ZMWKEvPXWW/L333/LhAkT5L777mvgKC9d9fdp27ZtSgv6m2++KVdffbXcddddNRL3tWvXyvDhw1XvEl8dk3YHeuyxx+Tqq6+W8ePHS9++fcVgMMiUKVPsnqrGx8fLmDFjZNy4cco4ZS1+6OfOnStDhw4VkaoxP5999pmMGzdO7rjjDmXNxr///ls+++yzS54wzR3YlnKpfoEcNmxYjcR9xYoVcsstt6h2ThQWFsqJEydUObaj6eUmWS/1tNFDkqeHOoro79zVQxdjvZ27Iu5RT9s9R15enixbtsyup92uXbskKChIvvjiC2nbtq08+OCDyv4//fST3HPPPZptmDm/a/e3334r119/vYhULWHctGlTWbp0qYhUzUX16aefikjVe+0OY9htDYa7du2SzMxM+b//+z9l25dffikffvihiPyvjuPHj5dx48bJ2bNnNTEU4Oeff1b+ffbsWSkuLpbg4GD5+OOPlfKUlBTp2bOnjBkzRvLz8+1+/+TJkw0Wa10waXeQzMxMad68uezYsUMpW7p0qfj7+8ujjz6qzMp9Pq1MOne+RYsWSbdu3WTFihUyfPhwGTx4sPTq1UvuueceadmypS7XX7+QlStXSosWLZRJLapf6AYOHChXXnlljckIRbT9ReAq9HCTLKKfeuohydNDHavTy7mrhy7Gejl33a2etnuNn3/+Wdq3by933nmnZGRk2O0TFxcnBoOhxudw9uzZ0q1bN02er5988om88MILdg8cPv/8cwkKCpLly5dLQECAJCcnK9u2bNkid955p9167FpIXM+3cOFCmT17tvLzhg0bpGnTptKuXTvx8PCQHj16yAcffGBXt8OHD8sTTzwhzZo108w67Bs3bpRrr71WVq5cqZQdP35cjEajXTIvImKxWKRHjx4yduzYGi3uroRJu4N88sknYjQa5Y8//rA70V999VUxGAwyY8YMuwlIKisrNfNhry3Ob7/9Vu644w5p1aqVjB07Vnn6mJmZKTfddJMmZkR1lvOT7aKiIrnuuuukU6dOyjlg22fLli1iMBjE19fXLceQq0kPN8ki+qmnjR6SPD3UUcQ9z129dzHWy7nrbvXcvXu3NG/eXGbNmlVr78ht27ZJ7969pX379pKZmSnvvPOOPPbYY+Ln5ye7du1SIeJL8+abb0pYWJgkJCTYNbZVVlbKXXfdJQaDQebNm6eUl5WVyZAhQ+Suu+7SdIOK1WqVxYsXi8FgkPnz58vZs2flmmuukeXLl8vBgwflr7/+kn79+kmvXr3k3XffFZGqmeRvu+02ufrqqzWxPKFNfn6+DBkyRHr37q0k7hUVFXL11Vcr3yXVe1pYLBbp1KmTTJw40WUbVJm0X4TaPrCffPKJNG3aVDmhS0tLRaSqu/EVV1whrVq1kscff1xzE5DYbpy++OILWbBggTzwwAPyySefKEu6nd+VZPbs2XLjjTdq+qbDUT755BPlad7x48flxhtvlA4dOtg9pc3KypLZs2fL7NmzXfYi4er0cpOsl3r+E3dM8s7njnXUy7mr1y7GNu547tbG3epZWloqI0aMkIcfftiuvKKiQvLz85X71pycHBk5cqQEBARIVFSUS86uXRdr166VJk2ayPr166W4uLjG9s8++0x69eol4eHhsmrVKnn55ZdlwIAB0qlTJ00Pa7UpLy+X1NRU8fDwkMTERBk9erQcPXpU2V5YWCi33HKL9OvXTylbv369S7dAn8/2/hw4cEDuuOMOiY2NldWrV8u+ffukQ4cOcuDAgVp/b+3atS7dU5hJez1V/6C+/vrrsmjRIuXnO++8U1q3bi2FhYVKWX5+vkycOFGee+45CQsLkxkzZmhuGa1NmzZJkyZN5Pbbb5cbbrhBQkND5d5777W7Ifn6669l6tSp0qxZM00+dXWE6ufG999/L02aNJFHHnlEeb+PHz8u3bt3l6uuuko++OAD+fHHH2XYsGEyZcoU5fe0NiGh2vRyk6yXetroIcnTQx1F9HPu6qmLsd7OXXevZ0VFhfTo0UNef/11pew///mPTJ06Vfz9/cVoNMptt92mbPv999+VmdS1prCwUGJjY2XJkiV25SdPnpRvvvlGud7s3btXxo0bJ61bt5bevXvLhAkTlIYVrTawVO81W1FRIRaLRfz8/KR58+ZKEmsbxvHbb7+Jh4eHfPbZZ6rE6gi2++kDBw7IsGHDpF+/fvLUU09Jy5YtZebMmfL000/Ls88+K88//7zMmDFD1q5dq3LE/45J+0WaPn26tGrVSp5++mnl6VNubq706tVLWrRoIW+++aasWbNGBgwYoDytWrVqlfj4+MicOXOUp3WuLi8vT6666ipJTU1VytasWSP9+/eXcePGyYEDB+Svv/6SBx98UPr27VtjnIheVL8YJiUliclkkubNm4u3t7dMnDhR9uzZIyJVF8TbbrtNLr/8cgkLC5MbbrhBM+eCq9HLTbJe6mmjhyRPD3UU0d+5q4cuxno7d929niJVM9937NhRHnroIdm9e7csXLhQOnToIHfddZe8+uqrsmLFCmnbtq089thjIqLtxoXCwkK5+uqr5b333lPKli5dKiNGjBCDwSDBwcHSp08fZdvff/9t9/taTdhF/nefanvYUl5eLitWrBAvLy+ZOXOm3b579uyRiIgI+eabbxo8zktV25Deffv2ydChQ+Wqq66SFi1ayMCBA+W2226TQYMGSb9+/eSmm27SxKpJTNovwrp166Rly5by3Xff1diWn58vkyZNkoiICOnYsaP07dtXzpw5o2xfs2aNS7e05+fnyxtvvCGvvvqqbNu2TUpKSiQsLEy2bt1qt9/q1aslJCREWRZj3759dt1r9Oq5556TgIAA2bJli2RlZcnrr7+ujHuzJe4iVT0TvvnmG+XLT8tfBGrSw02yiH7qqYckTw91rE4v564euhjr5dzVSz2r27p1qzRq1EjatGkjfn5+kpKSokygXFFRIQMGDFBtOVpHKiwslLCwMHnwwQf/X3t3H5fzvf8B/HWpa2GFRm5mXKEbKjcVCg+hWFGpTpy1Mw/M5mZzO87J3GV0Ys5YbB4zZ5NMzJnDMEYmQsipDh3OkJsSU0oxZaqrev/+8Ot7yt12HFw339fzv+v7va7r8f7Up6vv6/p8vp+PJCUlSXh4uLi5ucmECRNk7969snnzZmnXrp0sXLhQROpem5nKOlSPc/z4cdHpdEoY1+v1smrVKrGwsJA//vGPkpWVJdeuXZM5c+ZIixYtTG4f9prf0dGjRyU2Nla+/vpruXTpkojcyzehoaHi5+cnX3311UNfZ+wY2p/ABx98IOHh4SIijwxdV65ckRs3bigd4f5tJYxRZmam2NvbS7du3cTGxkasra3lnXfeke7duyvbQNReAbVjx44PfDunVlVVVVJVVSUBAQEybdq0OufWr18vWq1WJkyYIKdPn37gtab8rbUhqeEiWUQ97ayhhpCnhjaKqKvvqmWKsVr6rlraWVtubq6kp6c/MLpcVVUlw4cPl7lz55rUIsqPsm/fPmncuLG0b99eunbtKklJSUqbi4uLpVu3bjJ//nzDFvmM6PV6cXd3FycnJ2UBvsrKSlm1apVYWVnJiy++KGPGjBFPT0/JyMgwcLVPZuvWrWJtbS1ubm7i4OAgvXv3VtqSk5MjQ4cOlQEDBihb+YkwtJuNmm9ca/9Cp0yZIp6eng+cKysrk507dz7yPYxZZmamNGzYUGbOnCnFxcWSmpoqo0aNEkdHR+nQoYPY29vX+ea4vLxc+vbtW6fTq83q1auVi9GqqirR6/UycOBAmTx5sojc+xnV9I1JkyaJjY2NTJs2zeS3CzEWarlIVks7RdQR8tTQxhpq6rtqmGKslr6rlnb+FuXl5TJ37lx5+eWXjXqW6H+roKBAGYGtrbi4WPr27VvnllBTVjt/1Fxv6vV66du3r7Rr104J7nq9XuLj40Wj0ci8efOUxbSNWe221dxmeuPGDZk8ebLEx8dLVVWV7NmzR0JDQ8XJyUm5ZeXy5cvSv39/CQwMlFu3bhmk9ifF0P4YGzdulJEjR8q///3vOhcRX3zxhbRt21a+++67OlPfi4uLpU+fPrJ582ZDlPvEcnNzpVmzZjJ8+PA6x//+97+LnZ2d/PDDD+Lr6ys6nU42bdokO3bskFmzZomtra1ZfYj/Nz7//HOxsLCQbdu21Tm+YMECefHFF+XChQsi8p8Ls6ioKOnXr5/odDqZOHGian9uT5MaLpJF1NNOEXWEPDW0sYaa+q6I+U8xVkvfVUs7f8369etlypQp0qJFC1VsSVtQUCCBgYHi5eVlsp9FD1s88ejRo8pOTzXBvaKiQvr27Svt27dXgntZWZnExcWZxL3dNXJycpQ2HTt2TLy8vMTHx6dOG44ePSohISHi5OSkjLjn5uaa3NR/EYb2R7p165Z06NBB7OzsxM3NTUaNGiVr1qxRzgcFBYmDg4PEx8fL+fPn5ccff5QhQ4aY5B97dna29OjRQ4YOHSqHDx9Wjh85ckQaN24saWlpcvPmTYmIiBBHR0dp166deHh4qOJD/GFqAnvthUxqlJWVyeDBg+Xll1+WU6dOSWlpqZSXl0tISIjs2rVLvv76a9HpdDJq1CjlYo6enLlfJNdQSzvVEPLU0Mba1NJ3a5jzFGO19F21tPNxzp49K/3795ewsDCTCnFPorCwUBYvXiyBgYHSo0cPZdTW1H6v9y+emJGRIWVlZeLk5CSurq5KSK357CkpKZFOnTpJ7969lfWpTElZWZl4e3uLTqcTkXtbU/fs2VMaNWpUZw0pkXvBPTw8XOzs7Exqr/n7MbQ/QmVlpcyaNUs+//xzycjIkI8++kgaN24s4eHhsnLlStHr9RIeHi69evUSjUYj3bp1E29vb5P9Y8/KypKAgAB59dVX5ccff5Tbt29L8+bNZcaMGXWel52dLVevXpWioiIDVWpYcXFxYmlpKbt3765zfMqUKbJp0yYRETl9+rSEhYVJ/fr1pWvXruLo6ChOTk5K31i7dq24uLhIXl7ec6/fHJnzRXJtammnGkKeGtpYm1r67qOY0xRjtfRdtbTzca5fv25y04efxIkTJyQoKEimTp1qstu6PW7xxMuXL0vnzp2lZ8+eyoi7yL3w/vrrr4tGoxF3d3eTWHurturqajl8+LC4ubmJt7e3iNwbbe/SpYv07NnzgdsfDh48KG+88YYyE9YUMbQ/xu7du6VRo0bKPUp3796VqKgo0Wg00r9/f1m0aJFs2rRJkpKS5Pjx48ofjan9sdfIysqSwYMHS79+/cTW1rbOgmrcluzeN88tW7ZUtvCrERYWJp06dXpgqs3mzZvlk08+keXLlz/wj8DcptEZG3O6SH4cc22nGkKeGtr4OObad+9njlOM1dJ31dJOErl586byezS1Qbcaj1s88cqVK+Lq6iqenp6Sm5urtDUyMlKOHz9eJ8ybgpr6q6ur5dixY+Lo6CheXl4iIpKSkiI+Pj7i4+Mj2dnZdV5X+5ZmU8TQ/ismTpwo7777rvLYxcVFQkNDZcaMGRIYGCgajUbWrVunnDeFReceJysrS7l//eDBg8px/lO6t8BFdHS0dOvWTVk1/7XXXpPOnTtLTk6OiDz+w76ysrLOBw09G+Z4kfwwamlnDTWEPDW0UUQ9fVdNU4zV0nfV0k61MtVrs19bPDEnJ0cuX74sffr0kQ4dOsj7778vY8eOlZdeeskkAntNtqo9gFh7MfD7g/vBgwfFx8dHfH19lYUjzQFD+6/48ssvpU+fPlJUVCTu7u7Sp08f+fnnn0VEJC8vT7755huTHVl/lPPnz0tAQID4+/tLSkqKocsxCjUf5Ddu3JAPP/xQXF1dpW3bttKlSxe5fv16neeI3NsWkJ4/tVwkq6WdNdQQ8tTQRhH19V01TDFWS99VSzvJ9Dxu8UQbGxuxt7eX4OBguXv3rowePVr69u0rffr0MantCXNycmTatGl1dmioHdxTU1PF2dlZAgMDRUQkMTFRPDw8JDAw0GxymkZEBPRYPXv2RHp6Onx8fLB161a89NJLDzynsrISlpaWBqju2Th//jymT5+OGzduIDY2Ft7e3oYuyWgUFRVhzZo1WL16Nfr37481a9bUOR8UFITU1FRcv34dFhYWBqpSvQoKCmBlZYXGjRsbupRnSi3tPHfuHCZMmABbW1vExMSgU6dOhi7pqVNDG2tTS99VA7X0XbW0k0zT7du34eXlhb59+2L69On49ttvsW7dOri5ucHHxwfW1taIjo7Gm2++iaioKJSVlaG6uhoNGzY0dOm/2alTpxASEgJ/f39MmjQJrq6uAIDq6mrUq1cPer0eu3fvRmRkJJYvX46AgADs2rULnTt3Rtu2bQ1c/dPB0P4YIgKNRoOEhAQsWbIE8fHx8PT0VI6bu7Nnz2LevHlYtmyZ2XT4p6WoqAhffvkl1q9fj0GDBiE2NhYAMHjwYGRnZ+PUqVPQarXKhwkRPTk1hDw1tJHMk1r6rlraSaZp//798Pf3R+vWrVFcXIyPPvoIfn5+cHBwgF6vR1BQEJo3b47169cbutQndvLkSbz11lvw8PDAtGnTHgjupaWlcHV1xbvvvouZM2cauNqnj6H9N/jpp5/Qo0cPTJkyBe+//76hy3muKioq8MILLxi6DKNUE9wTEhLg7++PrKwsnDt3DqdPn4ZWqzW72RdEREREZJyuXLmCgoIC6HQ6NGvWTDleXV2NiIgIODs7Y+HChQBgsoOPJ06cwNtvvw0PDw+89957cHFxAXBvxrNer8fw4cMxYsQIREREmN0gK0P7b/Tpp59iwYIFOHTokNJByDw96o/8YceLiooQFxeH6OhovPLKK8jMzGRgJyIiIiKDq6ioQHR0NOLi4pCcnAxHR0dDl/Q/qwnuXbt2xeTJk+Hu7o6KigrExMRg3bp1OHjwIHQ6naHLfOoY2n+jixcvYuHChVi7di2nO5ux2tPZL126pNyTXvPH/7DgXlhYiL179yIiIgIWFhYM7ERERERkUAkJCUhLS8Pf/vY37N69G+7u7oYu6anJzMzE5MmTUVhYCGdnZ1hYWCAtLQ07duxAt27dDF3eM8HQ/l+oCWxVVVVcYMwM1Q7k8+fPx549e1BQUAA7OztERERg+vTpj30NAPYNIiIiIjIoNSyemJubi+3bt+Pw4cNwd3fHsGHDzGImwaMwtBPdJzo6GsuXL8fmzZvxyiuvIDo6Ghs2bMCZM2fg7Oxs6PKIiIiIiB6LiyeaF87zJqqlpKQEqampiIuLg6+vL7KysrBz506sWrUKzs7O0Ov1hi6RiIiIiOixmjdvzsBuRhjaSdXun2hSUlKC9PR0tG7dGomJiXj99dexePFijB8/HuXl5fj444/xz3/+00DVEhERERGR2jC0k2rl5uaiuroaALB06VLk5OTAzs4O/fr1w2effYbXXnsNy5Ytw4QJEwAA165dw5EjR5CdnW3IsomIiIiISEUY2kl1RASpqalwcHDAgQMHMHXqVERFRUGv10Or1aJHjx6Ij49HUFAQRowYAQC4efMmJk2ahJKSEoSGhhq2AUREREREpBpciI5Ua/To0di6dSuqq6uRnJyM7t27K+dmzpyJNWvWoHv37mjYsCEKCwtRUlKCtLQ0aLXaOlvDERERERERPStMHaQ6lZWVAIBevXqhtLQUGo0GhYWFKCsrU56zZMkSrFixAp6enmjatCmGDRuG9PR0aLVaVFZWMrATEREREdFzwZF2Uo3791TPz8+HpaUlIiMjsWXLFsTFxSEoKAhWVlaPfA/uw05ERERERM8ThwtJFaqrq5XAXllZidu3b6Nly5Zo1qwZ4uLiEBwcjDFjxmDPnj2oqKgAAEydOhVXr16t8z4M7ERERERE9DxxpJ3MXu37z5cuXYojR47g3LlzGD9+PIKDg9G+fXsAwIgRI7Br1y6MHz8ex48fR05ODs6fPw9LS0tDlk9ERERERCrG0E6qMWfOHMTFxWHixIlo3LgxZs+ejZEjR+Ktt96Ch4cHAGDGjBm4ePEitFotNm7cCK1WyynxRERERERkMAztpApbt27FzJkzkZCQAC8vL2RkZKBHjx6wtbVFQEAAIiMj0bVrVwDA7du30ahRIwD3ptJzpJ2IiIiIiAyFaYTM0v1bsjVs2BBTp06Fl5cXdu3ahREjRmDDhg1o2rQpAgICYGNjgzfffBNeXl5KYBcRBnYiIiIiIjIojrSTWduzZw88PDxgYWGBiooKWFlZYejQoRg6dCgiIyNx9+5duLq6IicnBzExMZg1a5ahSyYiIiIiIlJw9XgySyKC9PR0RERE4NKlS2jatClatWqFkpIS3Lp1C506dQIAlJSUYMiQIdixYwciIyMNXDUREREREVFdHGknsxYYGIhffvkF+/fvh0ajwZkzZ+Dn54cRI0bA29sba9asqXOei84REREREZEx4Ug7mYXKyso6j8vLywEA7733HkpLS5GUlAQA6NSpExYtWoSEhATMmTMHt2/fxt69e6HRaCAiDOxERERERGRUONJOJi0jIwOenp7K4+TkZPTv3195XFJSAj8/P7i4uCA+Pl45fvnyZdSrVw+tW7dGvXr1uEo8EREREREZJY60k8maMGECEhISUPO906FDhzBy5Ei4uLhg69atuHDhAmxsbPDhhx9i79692Llzp/JanU6HNm3aoF69eqiurmZgJyIiIiIio8SRdjJZGRkZ6NKlC7RaLfLy8tCyZUtcvnwZUVFROHPmDEpLSzF9+nS4u7tj6dKl6NixIz744IMHtoMjIiIiIiIyVgztZJJqLxi3du1axMXFYcGCBfD19QUApKam4sCBA/j444/h6+uLAwcOoLS0FBcvXkSrVq0MWToREREREdFvxtBOJkdEoNFoAADnz59HRUUFxowZgzZt2mDcuHF49dVXleeePHkSSUlJWLt2rRLaudgcERERERGZCoZ2Mim1p7ZPnz4dn3zyCSoqKpCSkoLZs2fDzs4OkyZNgp+fX53X6fV6WFhYoF69etzWjYiIiIiITAZv7CWTISJKYM/KysIvv/yCpKQk1KtXDz4+PoiJiUFhYSFWrlyJ/fv3K6+rrKyEVqtVFp1jYCciIiIiIlPB0E4mo2ZK/IYNGxAQEIDU1FQ4Ozsre7T369cPMTExuHHjBj777DPs3r0bAOqsDM8F6IiIiIiIyJQwwZDRO336NJKSkpQQ3qxZM7Ru3RoXL17EnTt3YGlpCb1eD+A/wf3UqVM4dOiQIcsmIiIiIiL6n/GedjJq8fHxWLx4MYqKilBRUYEBAwZg+/btSElJweTJk2FpaYnNmzfD3t4elZWVyqj6yZMn0blzZ06FJyIiIiIik8bQTkZr9erVmDJlClavXg0XFxekpKRg0aJFeOONN7BixQrs2LEDK1asQFVVFdatWwedTge9Xg+tVqu8BxedIyIiIiIiU8bQTkZp27Zt+N3vfoft27cjODgYAHD37l2Eh4fjzp07OHjwIABg+/btWLlyJaqqqvDFF1+gQ4cOhiybiIiIiIjoqeI97WR0ysvLkZiYiPbt2+Py5cvK8QYNGkCn0+GFF15AaWkpACAkJASTJ09GcXExYmNjDVUyERERERHRM2H5608her6srKwQFRUFKysrrF+/HiUlJZg1axZ2796N1atXIzExEdbW1sqe7UOHDoWtrS369Olj6NKJiIiIiIieKk6PJ6OVn5+PmJgYnDhxAjqdDt999x0+/fRTjBo1SgnsIqJsBQfwHnYiIiIiIjIvDO1k1PLy8rB48WJ888038Pb2xrZt2wAwnBMRERERkTrwnnYyaq1atcKcOXPw+9//HtevX8eSJUsAABYWFuD3TUREREREZO440k4mIT8/H4sWLUJGRgYGDBiAP//5z4YuiYiIiIiI6JnjSDuZhJYtW2L27Nno0KEDCgoKOMpORERERESqwJF2MinFxcVo0qTJQxehIyIiIiIiMjcM7WSSalaPJyIiIiIiMmcM7URERERERERGikOVREREREREREaKoZ2IiIiIiIjISDG0ExERERERERkphnYiIiIiIiIiI8XQTkRERERERGSkGNqJiIiIiIiIjBRDOxEREREREZGRYmgnIiJSqYKCAowfPx5t27aFlZUVWrZsCX9/fxw7dgwAoNFosG3bNsMWSUREpHKWhi6AiIiIDCM8PBx6vR7r1q1D+/btcf36dSQlJaG4uNjQpREREdH/40g7ERGRCt26dQspKSlYsmQJBgwYAJ1Oh549e2LWrFkIDAyEvb09ACAsLAwajUZ5fPHiRYSEhKBFixawtrZGjx49sG/fvjrvnZeXh8DAQDRo0ADt2rXDxo0bYW9vj+XLlyvP+fnnnzFu3Dg0b94cjRo1gq+vLzIzM59T64mIiEwHQzsREZEKWVtbw9raGtu2bUN5efkD59PS0gAAa9euRV5envK4tLQUQ4YMwb59+3DixAn4+/sjODgYubm5ymtHjhyJa9euITk5GVu2bMFf//pXFBQUKOdFBIGBgcjPz8f333+PjIwMeHh4wM/Pj6P8RERE99GIiBi6CCIiInr+tmzZgrFjx+Lu3bvw8PBAv379EBERgS5dugC4d0/7t99+i9DQ0Me+j6urK9555x1MmjQJZ8+eRadOnZCWlobu3bsDAC5cuABHR0fExsZi2rRp2L9/P8LCwlBQUAArKyvlfRwcHBAZGYlx48Y9szYTERGZGo60ExERqVR4eDiuXbuGHTt2wN/fH8nJyfDw8EB8fPwjX3Pnzh1ERkbCxcUFTZo0gbW1Nc6ePauMtJ87dw6Wlpbw8PBQXuPg4ABbW1vlcUZGBkpLS9G0aVNlxN/a2hrZ2dm4ePHiM2svERGRKeJCdERERCpWv359DBo0CIMGDUJUVBTefvttzJ8/H6NHj37o8//0pz8hMTERS5cuhYODAxo0aIBhw4ahoqICwL2p7w9T+3h1dTVatWqF5OTkB57XpEmT/7VJREREZoWhnYiIiBQuLi7KNm9arRZVVVV1zh8+fBijR49GWFgYgHv3uOfk5CjnO3bsiMrKSpw4cQKenp4A7k2Pv3XrlvIcDw8P5Ofnw9LSUlngjoiIiB6O0+OJiIhUqKioCL6+vkhISMC//vUvZGdnY/PmzfjLX/6CkJAQAIC9vT2SkpKQn5+PmzdvArg31X3r1q04efIkMjMz8Yc//AHV1dXK+3bs2BEDBw7EuHHj8I9//AMnTpzAuHHj0KBBA2g0GgDAwIED0atXL4SGhiIxMRE5OTk4evQo5s6di/T09Of/wyAiIjJiDO1EREQqZG1tDS8vL8TGxsLHxwdubm6YN28exo4di5UrVwIAli1bhh9++AFt2rSBu7s7ACA2Nha2trbo3bs3goOD4e/vX+f+dQD46quv0KJFC/j4+CAsLAxjx46FjY0N6tevD+DeAnfff/89fHx8MGbMGDg5OSEiIgI5OTlo0aLF8/1BEBERGTmuHk9ERETP1NWrV9GmTRvs27cPfn5+hi6HiIjIpDC0ExER0VO1f/9+lJaWonPnzsjLy0NkZCR++uknZGVlQavVGro8IiIik8KF6IiIiOip0uv1mD17Ni5dugQbGxv07t0bGzZsYGAnIiJ6AhxpJyIiIiIiIjJSXIiOiIiIiIiIyEgxtBMREREREREZKYZ2IiIiIiIiIiPF0E5ERERERERkpBjaiYiIiIiIiIwUQzsRERERERGRkWJoJyIiIiIiIjJSDO1ERERERERERur/AJEjHepUFCWJAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 5))\n",
    "df = df.sort_values(by='Stage')\n",
    "sns.boxplot(x='Stage', y='Percentage', data=df, hue='Stage')\n",
    "plt.xticks(df['Stage'].unique(), rotation=45)\n",
    "plt.ylabel('Percentage Laid Off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this plot, we can see that it as the companies goes through more rounds of funding, the distributions for their percentage of employees laid off tends to become smaller, and more centered between 0% - 20% of employees laid off. This is an interesting trend, so let's see if we can build a linear regressor to help identify this trend. Since the funding stage is a categorical column, we will first need to convert it into ordinal data. Ordinal data is a type of qualitative data where you can identify a clear scale between the different categories. Since funding stages happen in a sequence, and are in essence just a count of the amount of times a started has gotten funding, we can convert this to a numerical scale. To ensure it was created correctly, we will regenerate the same plot but with our numerized versions of the `Stage` column instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/mt/kt4lp3rx2p37sfswrnyhlkjr0000gn/T/ipykernel_63599/1788441162.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  clear_funding.loc[:, 'Stage_numerized'] = clear_funding['Stage'].apply(lambda i: numerizer[i])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J']\n",
    "stage_numerizer = dict(zip([f'Series {s}' for s in series], np.arange(1, len(series)+1, 1)))\n",
    "stage_numerizer['Seed'] = 0\n",
    "numerizer = defaultdict(lambda : np.nan)\n",
    "numerizer.update(stage_numerizer)\n",
    "clear_funding = df[['Percentage', 'Funding', 'Stage']]\n",
    "clear_funding.loc[:, 'Stage_numerized'] = clear_funding['Stage'].apply(lambda i: numerizer[i])\n",
    "\n",
    "fig = plt.figure(figsize=(12, 5))\n",
    "sns.boxplot(x='Stage_numerized', y='Percentage', data=clear_funding, hue='Stage')\n",
    "plt.xlabel('Stage Numerized')\n",
    "plt.ylabel('Percentage Laid Off')\n",
    "plt.legend().remove()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like we created it correctly. Lets see if we can perform a linear regression now and find a correlation between Stage Numerized and "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "$ H_0: $ There is no satistically significant correlation between the `Stage_numerized` and `Percentage` columns\n",
    "\n",
    "$ H_1: $ There is a satistically significant correlation between the `Stage_numerized` and `Percentage` columns\n",
    "\n",
    "For this test, we will be using a p-value of 0.01. We will use a smaller p-value because we converted the data numerically, and are omitting some of the other funding stages that did not fit into this ordinal categorization. A smaller p-value will help eliminate some of the bias introduced by performing these modifications."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outcome, predictors = patsy.dmatrices('Percentage ~ Stage_numerized', clear_funding)\n",
    "model = sm.OLS(outcome, predictors)\n",
    "results = model.fit()\n",
    "p_value = results.pvalues[1]\n",
    "t_value = results.tvalues[1]\n",
    "stages = np.sort(clear_funding['Stage_numerized'].unique())\n",
    "\n",
    "fig = plt.figure(figsize=(12, 5))\n",
    "sns.boxplot(x='Stage_numerized', y='Percentage', data=clear_funding, hue='Stage')\n",
    "\n",
    "predicted_percentage = results.params[0] + results.params[1] * stages\n",
    "sns.lineplot(x=stages, y=predicted_percentage, color='red', linewidth=2, label='Linear Regression')\n",
    "plt.xlabel('Stage Numerized')\n",
    "plt.ylabel('Percentage Laid Off')\n",
    "plt.legend(loc='upper right', handles=[\n",
    "    mpatches.Patch(color='red', label='Linear Regression'),\n",
    "    mpatches.Patch(color='none', label=f'P_value={np.round(p_value, 4)}'),\n",
    "    mpatches.Patch(color='none', label=f'T_value={np.round(t_value, 4)}'),\n",
    "])\n",
    "plt.title('Linearly Regressed Layoff Percentage using Stage Numerized')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We succesfully disproved the null hypothesis with a p-value of $0.0$, this suggests that there is a statistically significant correlation between the numerized stage and the percentage of employees laid off. With a t-value of $-11.5861$, we find that for every round of funding, a company that performs layoffs is expted to layoff around $10\\%$ less employees. This means that if you were looking to identify a company to be more likely to perform a large-scale layoff, it would be a company that is in the lower funding stages."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Industry trends\n",
    "\n",
    "In this section, we examine layoff rates across different industries and years to identify potential patterns that may suggest industry-specific trends in workforce reductions. Recognizing that industries naturally vary in company size — with differences, for example, between expansive corporate chains and private research organizations — our goal is to illuminate whether layoffs are more significantly influenced by the size of the company or by the industry to which it belongs. This investigation will help determine the relative impact of industry characteristics versus company scale on layoff occurrences."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Layoffs by industry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# company size before/after layoffs by industry\n",
    "industry_sizes = df.groupby('Industry').agg({\n",
    "    'Company_Size_before_Layoffs': 'mean',\n",
    "    'Company_Size_after_layoffs': 'mean'\n",
    "})\n",
    "\n",
    "#plot\n",
    "industry_sizes.plot(kind = 'bar', figsize = (12, 6), color  = ['#A9DFBF', '#A9CCE3'])\n",
    "plt.title('Comparison of Company Sizes Before and After Layoffs by Industry')\n",
    "plt.xlabel('Industry', fontsize = 13)\n",
    "plt.ylabel('Average Company Size', fontsize = 13)\n",
    "plt.xticks(rotation = 45)\n",
    "plt.legend(['Before Layoffs', 'After Layoffs'])\n",
    "plt.grid(True)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This graph illustrates the average size of companies within an industry, and their relative size after total layoffs for this dataset. We can see that the hardware and retail industries have both of the largest company sizes in this data, with hardware having the largest decrease in size after layoffs. With this in mind, we can further investigate if certain industries are more prone to layoffs than others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/mt/kt4lp3rx2p37sfswrnyhlkjr0000gn/T/ipykernel_63599/3306485119.py:6: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\n",
      "  colors = plt.cm.get_cmap('viridis', num_bars)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#group by industry percentage\n",
    "industry_layoff_rates = df.groupby('Industry')['Percentage'].mean().sort_values(ascending=False)\n",
    "\n",
    "#plot for rates\n",
    "num_bars = len(industry_layoff_rates)\n",
    "colors = plt.cm.get_cmap('viridis', num_bars)\n",
    "\n",
    "plt.figure(figsize=(15, 8))\n",
    "industry_layoff_rates.plot(kind='bar', color=[colors(i) for i in range(num_bars)])\n",
    "plt.title('Average Layoff Rates by Industry')\n",
    "plt.xlabel('Industry', fontsize = 13)\n",
    "plt.ylabel('Average Layoff Rate (%)', fontsize = 13)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This barchart illustrates the average layoff rate across industries, with aerospace having the largest mean, and by a significant amount. While we previously saw the hardware industry with the largest difference in company size after layoffs, it is one of the lowest values for layoff rates. Additionally, when cross referencing this data with the previous graph, we can see that aerospace, while having the highest mean layofff rate, is of small to average company size. This suggests a relationship between industry and layoff rates. To further gain insight into these findings, let's continue to explore the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#group data by industry, sum laid-off values\n",
    "industry_layoffs = df.groupby('Industry')['Laid_Off'].sum().sort_values(ascending=False)\n",
    "\n",
    "#plot for sum of layoffs\n",
    "plt.figure(figsize=(15, 8))\n",
    "colors = plt.cm.viridis(np.linspace(0, 1, len(industry_layoffs)))\n",
    "industry_layoffs.plot(kind='bar', color=colors)\n",
    "plt.title('Layoffs by Industry')\n",
    "plt.xlabel('Industry', fontsize = 13)\n",
    "plt.ylabel('Number of Layoffs', fontsize = 13)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This visual facilitates the total sum of layoffs performed by industries. When compared to the previous graph on mean layoff rates, we can see that an industry can have a smaller total of employees laid off while simultaneously exhibiting a higher rate of layoffs. From these visualizations alone, we can speculate that industry might not be as relevant to predicting layoffs than company size. To investigate our hypothesis further, we proceed to performing statistical analysis on this topic to find significance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ANOVA on layoff rates by industry\n",
    "\n",
    "In order to further investigate any correlation between layoff rates and industry, an ANOVA was conducted between the `Laid_Off` and `Industry` columns. For this test, we will be using a p-value of 0.05 and the following hypotheses:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$H_0:$ There is no correlation between `Laid_Off` and `Industry`\n",
    "\n",
    "$H_a:$ There is a correlation between `Laid_Off` and `Industry`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   sum_sq      df         F    PR(>F)\n",
      "C(Industry)  5.018778e+07    29.0  2.307856  0.000105\n",
      "Residual     1.040832e+09  1388.0       NaN       NaN\n"
     ]
    }
   ],
   "source": [
    "# ANOVA on layoff rates by industry\n",
    "time_series_df = df.dropna(subset=['Year', 'Laid_Off'])\n",
    "\n",
    "time_series_df = time_series_df.dropna(subset=['Laid_Off'])\n",
    "\n",
    "model = ols('Laid_Off ~ C(Industry)', data=time_series_df).fit()\n",
    "anova_table = sm.stats.anova_lm(model, typ=2)\n",
    "\n",
    "print(anova_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This test resulted in p-value of 0.000105, allowing us to successfully reject our null hypothesis, suggesting that there is a statistically significant difference in layoff rates across different industries. However, this does not account for relative company size to lay-off rates, which we will explore later on, in the funding section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Company Size Before Layoffs vs. Percentage of Employees Laid Off"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we are looking at the effect of company size before layoffs and the percentage of employees laid off, which directly relates to our hypothesis. We expect larger companies to layoff a higher percentage of employees than smaller companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting scatterplot comparing Company Size Before Layoffs and Percentage Laid Off\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.scatterplot(x='Company_Size_before_Layoffs', y='Percentage', data=df, s=100)\n",
    "\n",
    "# Plotting line of best fit\n",
    "sns.regplot(x='Company_Size_before_Layoffs', y='Percentage', data=df, scatter=False, color='blue')\n",
    "\n",
    "plt.title('Company Size Before Layoffs vs. Percentage of Employees Laid Off', fontsize=20)\n",
    "plt.xlabel('Company Size Before Layoffs', fontsize=14)\n",
    "plt.ylabel('Percentage of Layoffs', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to this scatterplot, there is a relationship between company size before layoffs and the percentage of employees laid off. However, this relationship appears negative, such that, as the size of the company before layoffs increases, the percentage of layoffs decreases. This contradicts our hypothesis and expectation that larger companies will have a higher percentage of layoffs. Given this initial relationship, we would like to measure the strength of association between company size before layoffs and the percentage of employees laid off."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating a correlation matrix to determine the different correlation coefficients for Company Size Before Layoffs, Percentage of Layoffs, Company Size After Layoffs, Money Raised in Million, and Year\n",
    "heatmap_data = df[['Company_Size_before_Layoffs', 'Percentage', 'Company_Size_after_layoffs', 'Money_Raised_in_$_mil', 'Year']]\n",
    "\n",
    "correlation_matrix = heatmap_data.corr()\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
    "\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title('Correlation Matrix of Variables')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to this correlation matrix, there is a weak negative correlation between company size before layoffs and the percentage of layoffs (r = -0.11). This suggests that the company size before layoffs has only a minor impact on the percentage of layoffs. It seems that the correlation coefficient is the highest between the year of the layoffs and the percentage of layoffs. \n",
    "\n",
    "Given this week negative correlation, we are interested to see if there is a significant relationship between company size before layoffs and the percentage of employees laid off."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$H_o$: There is no relationship between company size before layoffs and the percentage of employees laid off ($\\beta = 0$)\n",
    "\n",
    "$H_a$: There is a relationship between company size before layoffs and the percentage of employees laid off ($\\beta \\ne 0$)\n",
    "\n",
    "For this test, we will be using a p-value of 0.05."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P-value: 3.213592045607915e-05\n",
      "T-test: -4.171239637803391\n"
     ]
    }
   ],
   "source": [
    "# Finding the p-value and t-value using the OLS regression\n",
    "outcome, predictors = patsy.dmatrices('Percentage ~ Company_Size_before_Layoffs', df)\n",
    "model = sm.OLS(outcome, predictors)\n",
    "results = model.fit()\n",
    "print(\"P-value:\", results.pvalues[1])\n",
    "print(\"T-test:\", results.tvalues[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The p-value is 3.21e-05 (p < 0.05) and the t-value is -4.171, which demonstrates a statistically significant relationship between company size before layoffs and the percentage of employees laid off. Given this p-value, we reject the null hypothesis in favor of the alternative hypothesis, concluding that larger companies before layoffs have lower percentage of layoffs. \n",
    "\n",
    "Nonetheless, this finding is different from what we hypothesized, as we expected larger companies to have a higher percentage of employee layoffs. One reason for the inverse relationship is that compared to smaller companies, larger companies have more employees to begin with, so if larger companies layoff more people than smaller companies, the percentage is not going to be as high. It is also important to consider other factors, such as industry type, geographic location, and economic condiitons, that could influence the relationship between company size before layoffs and the percentage of layoffs. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Investigating Time and Year Dependent Layoff Rates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first look at how the layoff rate of companies changes per year. In our dataset we have the years 2020-2024. The data for 2024 is lacking as our dataset only includes up until January 2024, but as we are looking at the percentage rate of layoffs it shouldn't matter too much."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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",
    "\n",
    "# layoff rate\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.boxplot(x='Year', y='Percentage', data=df, color = '#A9DFBF')\n",
    "plt.title('Layoff Rate by Year')\n",
    "plt.xlabel('Year', fontsize = 13)\n",
    "plt.ylabel('Layoff rate', fontsize = 13)\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As demonstrated in the above plot, 2021 has the highest mean layoff rate, however, there is also a much broader interquartile range. This graphic illustrates that 2021 has the greatest variability, which proceeds to decrease and stabilize from 2022 onwards. To attempt to understand this finding, we can take a little look into the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>333.0</td>\n",
       "      <td>27.071795</td>\n",
       "      <td>22.930779</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>33.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>14.0</td>\n",
       "      <td>43.212625</td>\n",
       "      <td>37.662511</td>\n",
       "      <td>6.976744</td>\n",
       "      <td>15.0</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>579.0</td>\n",
       "      <td>20.535096</td>\n",
       "      <td>19.213116</td>\n",
       "      <td>0.044980</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>476.0</td>\n",
       "      <td>19.340076</td>\n",
       "      <td>18.839122</td>\n",
       "      <td>0.996165</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.500000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024</th>\n",
       "      <td>16.0</td>\n",
       "      <td>21.304078</td>\n",
       "      <td>26.456557</td>\n",
       "      <td>0.531915</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.166667</td>\n",
       "      <td>19.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Percentage                                                              \n",
       "          count       mean        std       min   25%        50%   75%    max\n",
       "Year                                                                         \n",
       "2020      333.0  27.071795  22.930779  1.000000  11.0  20.000000  33.0  100.0\n",
       "2021       14.0  43.212625  37.662511  6.976744  15.0  26.000000  80.0  100.0\n",
       "2022      579.0  20.535096  19.213116  0.044980   9.0  15.000000  25.0  100.0\n",
       "2023      476.0  19.340076  18.839122  0.996165   8.0  14.500000  25.0  100.0\n",
       "2024       16.0  21.304078  26.456557  0.531915   5.0  13.166667  19.0  100.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"Year\", \"Percentage\"]].groupby(\"Year\").describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at a basic analysis of our data, we can see that 2021 and 2024 both are lacking in data points, with 2021 having the least at 14 layoff events. As a result we should be cautious about drawing conclusions based upon 2021 and 2024. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are going to do a time series analysis of our data. We aim to look at the correlation between time and the number of layoffs, specifically layoffs over the general period and trends based upon the month of the year. To do this, the data for our layoffs is first cleaned and then put into a seasonal decomposition with month-long buckets. From this, we can view the overall trend over the time period and also the \"seasonal\" effect the month has on the number of layoffs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# obtain relevant columns\n",
    "time_series_df = df[[\"Laid_Off\", \"Company_Size_before_Layoffs\", \"Company_Size_after_layoffs\", \"Date_layoffs\", \"Percentage\"]]\n",
    "\n",
    "# aggregate dates if duplicate, sum\n",
    "time_series_df = time_series_df.groupby(\"Date_layoffs\").agg([\"count\", \"sum\"])\n",
    "\n",
    "# flatten multi index to normal\n",
    "time_series_df.columns = time_series_df.columns.to_flat_index()\n",
    "# make sensical names\n",
    "time_series_df.columns = [\"_\".join(i) for i in time_series_df.columns]\n",
    "\n",
    "# put 0 values in place of NaN\n",
    "time_series_df = time_series_df.resample('MS').sum()\n",
    "\n",
    "time_series_df[\"Laid_Off_mean\"] = time_series_df[\"Laid_Off_sum\"]/time_series_df[\"Laid_Off_count\"]\n",
    "time_series_df[\"Percentage_mean\"] = time_series_df[\"Percentage_sum\"]/time_series_df[\"Percentage_count\"]\n",
    "\n",
    "# put 0 values in place of NaN\n",
    "time_series_df = time_series_df.resample('MS').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = seasonal_decompose(time_series_df['Percentage_mean'], model='additive', period=12)\n",
    "\n",
    "ylabel = \"Layoffs (%)\"\n",
    "\n",
    "### begin plots ###\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "plt.suptitle(\"Layoff Rate, Seasonal Decomposition by Month\", fontsize = 18)\n",
    "\n",
    "# observed\n",
    "plt.subplot(411)\n",
    "plt.plot(result.observed, label='Observed')\n",
    "plt.title('Observed', fontsize=14)\n",
    "plt.ylabel(ylabel, fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "# trend\n",
    "plt.subplot(412)\n",
    "plt.plot(result.trend, label='Trend')\n",
    "plt.title('Trend', fontsize=14)\n",
    "plt.ylabel(ylabel, fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "# seasonal\n",
    "plt.subplot(413)\n",
    "plt.plot(result.seasonal, label='Seasonal')\n",
    "plt.title('Seasonal', fontsize=14)\n",
    "plt.ylabel(ylabel, fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "# residual\n",
    "plt.subplot(414)\n",
    "plt.plot(result.resid, label='Residual')\n",
    "plt.title('Residual', fontsize=14)\n",
    "plt.ylabel(ylabel, fontsize=12)\n",
    "plt.xlabel('Date', fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a result of the seasonal decomposition we have the data decomposed into three components. We can think of each graph like this: `observed = trend + seasonal + residual`. The \"trend\" component will show a sort of smoothed idea of how the data changes over time. The \"seasonal\" component is cyclic and yearly -- it looks to describe purely the effect that each month will have on the total layoffs. The \"residual\" component shows unexpected and unexplained things in the data.\n",
    "\n",
    "The trend line illustrates a significant increase in percentage layoffs starting early 2020 until its peak in spring 2021, where it then begins to slowly decrease until hitting a low in spring 2022. The seasonal line shows an annual pattern, suggesting a seasonal effect on layoffs. It shows a large amount of inconsistencies in percentage layoffs per month, with the most laid off months being June and September. We can perhaps attribute these two large layoff periods to the ending of their respective fiscal quarters Q2 and Q3; companies who have performed poorly may decide to downsize. The residual plot, which is typically used for identifying anomalies and irregularities in data, peaks in December 2020, June 2021, and September 2021, indicating possible unexpected or anomalous events that caused layoff rates to deviate from their typical trends.\n",
    "\n",
    "As mentioned above, the dataset is lacking data points for 2021, and as a result there are certain months in 2021 with no layoffs recorded whatsoever."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would like to investigate whether or not there is a yearly pattern that can be found for layoffs in our dataset. In this case, we will be looking to see if the fiscal quarter, month, or day have any effect on how many layoffs are occurring. \n",
    "\n",
    "$ H_0: $ There is not a statistically significant correlation between `Quarter`, `Month`, `Day` and the `Percentage` of layoffs. \n",
    "\n",
    "$ H_1: $ There is a statistically significant correlation between `Quarter`, `Month`, `Day` and the `Percentage` of layoffs. \n",
    "\n",
    "We will consider $ p > 0.05 $ to be the requirement for a variable to be a statistically significant indicator of layoffs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "const      2.364107e-08\n",
       "Year       2.701361e-08\n",
       "Month      3.871946e-01\n",
       "Quarter    2.824362e-01\n",
       "Day        2.547686e-01\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TODO: Perform 1 stats test (don't print entire output of a model, only the p-value)\n",
    "# regression analysis \n",
    "df[\"Quarter\"] = df[\"Date_layoffs\"].apply(lambda i: (int(str(i).split()[0].split(\"-\")[1])+2) // 3)\n",
    "df[\"Month\"] = df[\"Date_layoffs\"].apply(lambda i: int(str(i).split()[0].split(\"-\")[1]))\n",
    "df[\"Day\"] = df[\"Date_layoffs\"].apply(lambda i: int(str(i).split()[0].split(\"-\")[2]))\n",
    "\n",
    "X = df[[\"Year\", \"Month\", \"Quarter\", \"Day\"]]\n",
    "X = sm.add_constant(X) \n",
    "y = df['Percentage']\n",
    "\n",
    "# regression model\n",
    "model = sm.OLS(y, X).fit()\n",
    "#model_summary = model.summary()\n",
    "#print(model_summary)\n",
    "model.pvalues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From our linear regression above, we can see that there is a statistically significant effect that the \"Year\" has on the number of employees laid off at $p == 0.000$. Meanwhile, there are statistically insignificant effects from \"Month\" ($p == 0.387$), \"Quarter\" ($p == 0.282$), and \"Day\" ($p == 0.255$), suggesting that the overall time period is what affects the number of employees laid off as opposed to the cyclical periods within the year. \n",
    "\n",
    "We can conclude that there is no seasonal correlation between moments in a year to the percentage of layoffs that occur, meaning that we can accept our null hypothesis. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Money Raised and Percentage of Employees Laid Off\n",
    "\n",
    "In this section we are looking at the correlation between the money a company raises and the percentage of their staff, they laid off. We expect larger companies to layoff a higher percentage of employees than smaller companies because they will be able to raise more money and handle these layoffs, while the small companies would need their staff."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assuming df is your DataFrame containing the data\n",
    "x = df['Funding']\n",
    "y = df['Percentage']\n",
    "\n",
    "# Define the number of bins for each axis\n",
    "bins_x = np.linspace(min(x), 900, 20)\n",
    "bins_y = np.linspace(min(y), max(y), 20)\n",
    "\n",
    "# Create 2D histogram\n",
    "hist, x_edges, y_edges = np.histogram2d(x, y, bins=(bins_x, bins_y))\n",
    "\n",
    "# Create meshgrid of x and y values for plotting\n",
    "x_grid, y_grid = np.meshgrid(x_edges, y_edges)\n",
    "\n",
    "# Plot the 2D histogram using a pcolormesh\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.pcolormesh(x_grid, y_grid, hist.T, cmap='Blues')\n",
    "plt.colorbar(label='Frequency')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Funding')\n",
    "plt.ylabel('Percentage')\n",
    "plt.title('2D Histogram of Funding and Percentage')\n",
    "\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 2D histogram we created depicts the correlation between the two variables. We chose to remove outliers because a majority of our data comes from smaller companies relative to others on the list. From our analysis, it appears there is a negative correlation between the two variables, though it is not a strong relationship. Furthermore, we observe that as a company receives more funding, the likelihood of layoffs decreases. The majority of the darker shaded blue squares are concentrated on the left side of the plot, where funding is lower."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P-value: 0.0019370406571451158\n",
      "T-test: -3.105543144727143\n",
      "Slope: -0.0008445350162074542\n"
     ]
    }
   ],
   "source": [
    "no_outliers = df[df.get('Funding') < 120000]\n",
    "outcome, predictors = patsy.dmatrices('Percentage ~ Funding', no_outliers)\n",
    "model = sm.OLS(outcome, predictors)\n",
    "results = model.fit()\n",
    "slope = results.params[1]\n",
    "print(\"P-value:\", results.pvalues[1])\n",
    "print(\"T-test:\", results.tvalues[1])  \n",
    "print(\"Slope:\", slope)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The results of the t-test revealed a statistically significant difference between the means of the two groups (p = 0.0124). Given the obtained p-value of 0.0124, which is less than the conventional significance level of 0.05, we can reject the null hypothesis and conclude that there is a significant difference between the groups.\n",
    "\n",
    "The negative t-statistic (-2.50) indicates that the mean of 'Percentage' is lower than the mean of 'Funding'. This suggests that there is a meaningful difference in the outcome variable between the two groups, with 'Percentage' exhibiting lower values compared to 'Funding'.\n",
    "\n",
    "Furthermore, the negative slope of the line indicates a negative correlation between the two variables, as highlighted in the 2D Histogram. This corroborates the observed difference between the means and provides additional evidence of the relationship between 'Percentage' and 'Funding'."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ethics & Privacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Potential ethical concerns and how we plan to address them: \n",
    "Our dataset is webscraped from Layoffs.fyi, which contains explicit personal information on individuals who were laid off. Without explicit documentation of informed consent, for the sake of privacy conservation, we will be omitting this information and focusing on the metadata (corporations over the individual). Additionally, Layoffs.fyi only pulls data from news articles, so it is a biased sample that is pulled from data that is only accessible to the public. This dataset is primarily constructed by data contained to the USA, which effectively neglects layoffs that occur in other regions of the world, leading to potentially biased analysis and results. As a result of unsatisfactory observations from foreign countries, we will be orienting our data analysis in the context of the USA's economy. However, we will still include models and representations of non-US observations to provide scope and a point of reference to our data. The timeframe of our data is 2020-2024, which unfortunately excludes a larger historical context regarding layoffs, compounding potential bias and lack of scope. Due to this, our analysis will be further oriented towards a COVID and post-COVID economy. Before performing data analysis, we used a bootstrap p-test to confirm the data was not biased in terms of funding on the basis of geographic location. Despite having a significantly large portion of our data be from the California Bay Area, there is no statistically significant difference in the percentage of employees laid off."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Discusison and Conclusion\n",
    "\n",
    "Our research has shown that larger companies, which are defined by the number of employees, the level of funding, and their current stage in the funding process, are less likely to lay off a substantial percentage of employees. We reason that this tendency appears to stem from the fact that a larger company has a stronger economic stronghold. Additionally, the year 2020 emerged as the most strongly correlated with layoffs, likely due to the economic disruption caused by the COVID-19 pandemic. \n",
    "Our analysis indicates a significant negative correlation between a company's funding stage and the percentage of employees laid off. This suggests that funding rounds, which can be viewed as a reflection of company competence, can predict layoff trends: companies struggling to advance beyond early funding stages, often indicative of smaller size, resorts to layoffs more frequently.\n",
    "\n",
    "In our analysis of industry-specific layoff trends, we discovered significant disparities in both total layoffs and layoff rates among different sectors. The consumer and retail industries recorded the highest overall layoffs in our dataset, while the aerospace industry experienced the highest average layoff rate. This comparison highlights a potential disproportion between an industry’s total layoffs and its layoff rate, suggesting that these discrepancies may be linked to the relative sizes of companies. This finding implies that layoffs are less influenced by the industry type itself and more by the size of the companies within those industries.\n",
    "\n",
    "Contrary to our initial assumptions that larger companies would conduct more layoffs, we found a significant negative relationship between company size before layoffs and the percentage of employees laid off. This indicates that larger companies, possibly due to their broader funding and resources, including their presence in multiple markets, are less likely to conduct layoffs. This stability can be especially valuable during economic uncertainties.\n",
    "\n",
    "Exploring the link between company size, funding levels, and layoffs further, we observed an inverse correlation between the amount of funding a company receives and its layoff rate. Smaller companies, especially those in the initial funding stages, showed higher layoff percentages overall. This could be attributed to their financial vulnerabilities during economic downturns, which would cause them to layoff employees for their own survival. In contrast, larger, well-funded companies have enough of a buffer to absorb such economic shocks and avoid laying off their employees.\n",
    "\n",
    "From our time-based analysis, no significant correlation was found between layoffs and cyclical periods based upon our quarterly and monthly seasonal analysis. This suggests that macroeconomic events and broader economic conditions have a more substantial impact on layoffs than regular fiscal cycles do, such as the COVID-19 pandemic mentioned above. \n",
    "\n",
    "In summary, our initial hypothesis was disproved: larger companies are, in fact, less likely to lay off a significant portion of their workforce, possibly due to their greater financial stability and resources. Further research into indicators of layoffs is needed to solidify these findings, particularly through datasets that allow for predictive analysis based on pre-layoff conditions. This could offer valuable insights into the dynamics leading to layoffs, enhancing our understanding of how to anticipate and mitigate these events.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "# Team Contributions\n",
    "\n",
    "##### McKayla\n",
    "- Data viz, EDA, and analysis on industry trends and time\n",
    "- Contribution to prior work/background & ethics\n",
    "- Abstract, contribution to conclusion, final editing\n",
    "- Recorded the video and worked on the presentation slides\n",
    "\n",
    "##### Sebastian\n",
    "- Data viz, EDA, analysis on geographic data and funding stage trends\n",
    "- Contribution to Ethics/Privacy, Background/Prior work\n",
    "- Contribution to Conclusion and abstract\n",
    "\n",
    "##### Matthew\n",
    "- Data viz, EDA, analysis on funding stage trends and time\n",
    "- Contribution to conclusion, ethics\n",
    "\n",
    "##### Anna\n",
    "- Data viz, EDA, and analysis on company size \n",
    "- Contribution to background/prior work and conclusion\n",
    "\n",
    "##### Kirthin\n",
    "- Data viz, EDA, and analysis on money raised\n",
    "- Contribution to background/prior work/conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### LLM Usage\n",
    "The abstract, conclusion and discussion were edited for clarity and grammar with assistance from ChatGPT, a language model developed by OpenAI. Additionally, plotting code was assisted by ChatGPT for debugging and scaffolding."
   ]
  }
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