Data_processing.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "# Advanced Large Language Models & Visualization Tools for Data Analytics Learning\n",
    "\n",
    "We present the data analysis and processing for the research project *Advanced Large Language Models & Visualization Tools for Data Analytics Learning*. \n",
    "\n",
    "We conducted a case study with a cohort of 59 participants affiliated with higher education programs at Tecnologico de Monterrey, a private university in Mexico. The cohort included 43 undergraduate students enrolled in a Data Analytics course and 16 professionals from a continuing education course focused on Data Analytics. As part of the case study, participants developed a data analytics project, and later answers a survey about their experience.\n",
    "\n",
    "The data is organized into several columns, including:\n",
    "\n",
    "- Gender\n",
    "- Age range\n",
    "- Current role (Professional or Student)\n",
    "- Campus\n",
    "- Affiliation\n",
    "- Programming experience\n",
    "- Data analytics experience\n",
    "- Experience using tools like Python, Colab, etc.\n",
    "- Experience using ChatGPT in general\n",
    "- Experience using ChatGPT for programming\n",
    "- Experience using ChatGPT for data analytics\n",
    "- Experience using generative APIs\n",
    "- Time required to finish activity 1\n",
    "- Time required to finish activity 2\n",
    "- Time required to finish activity 3\n",
    "- Ease of use\n",
    "- Speed of result\n",
    "- Appropriateness\n",
    "- Helpful\n",
    "- Correctness\n",
    "\n",
    "Download the data from [the paper's supplementary material](https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2024.1418006/abstract#supplementary-material)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libraries used\n",
    "\n",
    "- pandas: A powerful data manipulation and analysis library for Python.\n",
    "- matplotlib.pyplot: A plotting library for creating static, animated, and interactive visualizations in Python.\n",
    "- seaborn: A statistical data visualization library based on matplotlib, providing a high-level interface for drawing attractive and informative statistical graphics.\n",
    "- plotly.express: A high-level interface for Plotly, which is a graphing library that makes interactive, publication-quality graphs online.\n",
    "- plotly.graph_objects: A module in Plotly for creating more complex and customizable visualizations.\n",
    "- numpy: A fundamental package for scientific computing with Python, providing support for arrays, matrices, and many mathematical functions.\n",
    "- scipy.stats: A module in SciPy for statistical functions.\n",
    "- dython.nominal: A library for nominal data analysis, providing functions like associations and identify_nominal_columns.\n",
    "- plotly.io: A module in Plotly for input/output operations.\n",
    "- os: A standard library for interacting with the operating system.\n",
    "- matplotlib.lines.Line2D: A class in matplotlib for creating line objects in plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import numpy as np\n",
    "import scipy.stats as stats\n",
    "from dython.nominal import associations\n",
    "from dython.nominal import identify_nominal_columns\n",
    "import plotly.io as pio\n",
    "import os\n",
    "from matplotlib.lines import Line2D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading and describing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"survey_results.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age range</th>\n",
       "      <th>Current role</th>\n",
       "      <th>Campus</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Programming experience</th>\n",
       "      <th>Data analytics experience</th>\n",
       "      <th>Experience using tools like Python, Colab, etc.</th>\n",
       "      <th>Experience using ChatGPT in general</th>\n",
       "      <th>Experience using ChatGPT for programming</th>\n",
       "      <th>Experience using ChatGPT for data analytics</th>\n",
       "      <th>Experience using generative APIs</th>\n",
       "      <th>Time required to finish activity 1</th>\n",
       "      <th>Time required to finish activity 2</th>\n",
       "      <th>Time required to finish activity 3</th>\n",
       "      <th>Ease of use</th>\n",
       "      <th>Speed of result</th>\n",
       "      <th>Appropriateness</th>\n",
       "      <th>Helpful</th>\n",
       "      <th>Correctness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Female</td>\n",
       "      <td>Over 50 years</td>\n",
       "      <td>Professional</td>\n",
       "      <td>CCM</td>\n",
       "      <td>Highschool Education</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>A lot</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Female</td>\n",
       "      <td>Over 50 years</td>\n",
       "      <td>Professional</td>\n",
       "      <td>MTY</td>\n",
       "      <td>Business</td>\n",
       "      <td>Some</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Some</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>More than 30 minutes</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>Yes, enough</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Female</td>\n",
       "      <td>40 to 50 years</td>\n",
       "      <td>Professional</td>\n",
       "      <td>MTY</td>\n",
       "      <td>Business</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>A lot</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>Over 50 years</td>\n",
       "      <td>Professional</td>\n",
       "      <td>TOL</td>\n",
       "      <td>Engineering and Sciences</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Some</td>\n",
       "      <td>No</td>\n",
       "      <td>Some</td>\n",
       "      <td>5 to 10 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>A lot</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>35 to 40 years</td>\n",
       "      <td>Professional</td>\n",
       "      <td>MTY</td>\n",
       "      <td>Humanities and Education</td>\n",
       "      <td>Some</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Some</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Some</td>\n",
       "      <td>No</td>\n",
       "      <td>5 to 10 minutes</td>\n",
       "      <td>Less than 5 minutes</td>\n",
       "      <td>Less than 5 minutes</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>A lot</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender       Age range  Current role Campus               Affiliation  \\\n",
       "0  Female   Over 50 years  Professional    CCM      Highschool Education   \n",
       "1  Female   Over 50 years  Professional    MTY                  Business   \n",
       "2  Female  40 to 50 years  Professional    MTY                  Business   \n",
       "3    Male   Over 50 years  Professional    TOL  Engineering and Sciences   \n",
       "4  Female  35 to 40 years  Professional    MTY  Humanities and Education   \n",
       "\n",
       "  Programming experience Data analytics experience  \\\n",
       "0                     No                        No   \n",
       "1                   Some                       Yes   \n",
       "2                    Yes                        No   \n",
       "3                    Yes                       Yes   \n",
       "4                   Some                       Yes   \n",
       "\n",
       "  Experience using tools like Python, Colab, etc.  \\\n",
       "0                                              No   \n",
       "1                                            Some   \n",
       "2                                              No   \n",
       "3                                             Yes   \n",
       "4                                            Some   \n",
       "\n",
       "  Experience using ChatGPT in general  \\\n",
       "0                                 Yes   \n",
       "1                                 Yes   \n",
       "2                                 Yes   \n",
       "3                                 Yes   \n",
       "4                                 Yes   \n",
       "\n",
       "  Experience using ChatGPT for programming  \\\n",
       "0                                       No   \n",
       "1                                       No   \n",
       "2                                       No   \n",
       "3                                     Some   \n",
       "4                                       No   \n",
       "\n",
       "  Experience using ChatGPT for data analytics  \\\n",
       "0                                          No   \n",
       "1                                          No   \n",
       "2                                          No   \n",
       "3                                          No   \n",
       "4                                        Some   \n",
       "\n",
       "  Experience using generative APIs Time required to finish activity 1  \\\n",
       "0                              Yes                   10 to 15 minutes   \n",
       "1                             Some                   15 to 30 minutes   \n",
       "2                               No                   15 to 30 minutes   \n",
       "3                             Some                    5 to 10 minutes   \n",
       "4                               No                    5 to 10 minutes   \n",
       "\n",
       "  Time required to finish activity 2 Time required to finish activity 3  \\\n",
       "0                   15 to 30 minutes                   15 to 30 minutes   \n",
       "1                   10 to 15 minutes               More than 30 minutes   \n",
       "2                   15 to 30 minutes                   15 to 30 minutes   \n",
       "3                   10 to 15 minutes                   10 to 15 minutes   \n",
       "4                Less than 5 minutes                Less than 5 minutes   \n",
       "\n",
       "                        Ease of use                   Speed of result  \\\n",
       "0         LIDA with GPT integration         LIDA with GPT integration   \n",
       "1  ChatGPT as an external assistant  ChatGPT as an external assistant   \n",
       "2         LIDA with GPT integration         LIDA with GPT integration   \n",
       "3  ChatGPT as an external assistant  ChatGPT as an external assistant   \n",
       "4  ChatGPT as an external assistant  ChatGPT as an external assistant   \n",
       "\n",
       "             Appropriateness      Helpful                Correctness  \n",
       "0  LIDA with GPT integration        A lot  LIDA with GPT integration  \n",
       "1  LIDA with GPT integration  Yes, enough  LIDA with GPT integration  \n",
       "2  LIDA with GPT integration        A lot  LIDA with GPT integration  \n",
       "3  LIDA with GPT integration        A lot  LIDA with GPT integration  \n",
       "4  LIDA with GPT integration        A lot  LIDA with GPT integration  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age range</th>\n",
       "      <th>Current role</th>\n",
       "      <th>Campus</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Programming experience</th>\n",
       "      <th>Data analytics experience</th>\n",
       "      <th>Experience using tools like Python, Colab, etc.</th>\n",
       "      <th>Experience using ChatGPT in general</th>\n",
       "      <th>Experience using ChatGPT for programming</th>\n",
       "      <th>Experience using ChatGPT for data analytics</th>\n",
       "      <th>Experience using generative APIs</th>\n",
       "      <th>Time required to finish activity 1</th>\n",
       "      <th>Time required to finish activity 2</th>\n",
       "      <th>Time required to finish activity 3</th>\n",
       "      <th>Ease of use</th>\n",
       "      <th>Speed of result</th>\n",
       "      <th>Appropriateness</th>\n",
       "      <th>Helpful</th>\n",
       "      <th>Correctness</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Female</td>\n",
       "      <td>18 to 20 years</td>\n",
       "      <td>Student</td>\n",
       "      <td>CEM</td>\n",
       "      <td>Business</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>ChatGPT as an external assistant</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "      <td>A lot</td>\n",
       "      <td>LIDA with GPT integration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>32</td>\n",
       "      <td>22</td>\n",
       "      <td>43</td>\n",
       "      <td>44</td>\n",
       "      <td>23</td>\n",
       "      <td>39</td>\n",
       "      <td>32</td>\n",
       "      <td>42</td>\n",
       "      <td>39</td>\n",
       "      <td>26</td>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>23</td>\n",
       "      <td>19</td>\n",
       "      <td>43</td>\n",
       "      <td>36</td>\n",
       "      <td>37</td>\n",
       "      <td>27</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "        Gender       Age range Current role Campus Affiliation  \\\n",
       "count       59              59           59     59          59   \n",
       "unique       3               8            2      8           6   \n",
       "top     Female  18 to 20 years      Student    CEM    Business   \n",
       "freq        32              22           43     44          23   \n",
       "\n",
       "       Programming experience Data analytics experience  \\\n",
       "count                      59                        59   \n",
       "unique                      3                         3   \n",
       "top                       Yes                       Yes   \n",
       "freq                       39                        32   \n",
       "\n",
       "       Experience using tools like Python, Colab, etc.  \\\n",
       "count                                               59   \n",
       "unique                                               3   \n",
       "top                                                Yes   \n",
       "freq                                                42   \n",
       "\n",
       "       Experience using ChatGPT in general  \\\n",
       "count                                   59   \n",
       "unique                                   3   \n",
       "top                                    Yes   \n",
       "freq                                    39   \n",
       "\n",
       "       Experience using ChatGPT for programming  \\\n",
       "count                                        59   \n",
       "unique                                        3   \n",
       "top                                         Yes   \n",
       "freq                                         26   \n",
       "\n",
       "       Experience using ChatGPT for data analytics  \\\n",
       "count                                           59   \n",
       "unique                                           3   \n",
       "top                                             No   \n",
       "freq                                            22   \n",
       "\n",
       "       Experience using generative APIs Time required to finish activity 1  \\\n",
       "count                                59                                 59   \n",
       "unique                                3                                  4   \n",
       "top                                 Yes                   15 to 30 minutes   \n",
       "freq                                 27                                 25   \n",
       "\n",
       "       Time required to finish activity 2 Time required to finish activity 3  \\\n",
       "count                                  59                                 59   \n",
       "unique                                  5                                  5   \n",
       "top                      10 to 15 minutes                   15 to 30 minutes   \n",
       "freq                                   23                                 19   \n",
       "\n",
       "                             Ease of use                   Speed of result  \\\n",
       "count                                 59                                59   \n",
       "unique                                 3                                 3   \n",
       "top     ChatGPT as an external assistant  ChatGPT as an external assistant   \n",
       "freq                                  43                                36   \n",
       "\n",
       "                  Appropriateness Helpful                Correctness  \n",
       "count                          59      59                         59  \n",
       "unique                          3       3                          3  \n",
       "top     LIDA with GPT integration   A lot  LIDA with GPT integration  \n",
       "freq                           37      27                         34  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Useful functions and styles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_uniques(dataframe: pd.DataFrame) -> dict:\n",
    "  \"\"\"\n",
    "  Gets the unique values for each column of a dataframe\n",
    "\n",
    "    Parameters\n",
    "    - dataframe : DataFrame\n",
    "        The dataframe to be processed\n",
    "\n",
    "    Returns:\n",
    "    - unique_values : dict\n",
    "        A dictionary where the keys are the colums of the dataframe, and the values are the unique values of the column\n",
    "  \"\"\"\n",
    "  unique_values = {}\n",
    "\n",
    "  for column in dataframe:\n",
    "    unique_values[column] = pd.unique(dataframe[column])\n",
    "\n",
    "  return unique_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pie_chart(data, column, colors=None, title=True, subpath=\"\", article_image=False):\n",
    "    \"\"\"\n",
    "    Generate a pie chart based on the given data and column.\n",
    "\n",
    "    Parameters:\n",
    "    - data: DataFrame\n",
    "        The input data containing the column to be used for the pie chart.\n",
    "    - column: str\n",
    "        The column name to be used for the pie chart.\n",
    "    - colors: dict, optional\n",
    "        A dictionary mapping values in the column to colors for the pie chart.\n",
    "    - title: bool, optional\n",
    "        Whether to display a title for the pie chart. Default is True.\n",
    "    - subpath: str, optional\n",
    "        A subpath to be included in the saved image file name. Default is an empty string.\n",
    "    - article_image: bool, optional\n",
    "        Whether the image is intended for an article. Default is False.\n",
    "\n",
    "    Returns:\n",
    "    None\n",
    "    \"\"\"\n",
    "    df_pie = data[column].value_counts()\n",
    "    plot = df_pie.plot.pie(title=f\"Number of participants by {column.lower()}\" if title else \"\", \n",
    "                           startangle=90, \n",
    "                           autopct='%1.0f%%', \n",
    "                           ylabel=\"\", \n",
    "                           legend=None,\n",
    "                           colors=[colors[v] for v in df_pie.keys()] if colors is not None else None)\n",
    "    plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "    plt.show()\n",
    "    path = \"Pie\" if not article_image else \"Journal\"\n",
    "    subpath = f\" for {subpath.lower()}\" if subpath else \"\"\n",
    "    plot.get_figure().savefig(f\"images/{path}/Pie - Number of participants by {column.lower()}{subpath}.eps\", bbox_inches='tight', dpi=300, format='eps')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bar_chart(data, column, title=True, subpath=\"\", article_image=False):\n",
    "    \"\"\"\n",
    "    Generate a bar chart based on the given data and column.\n",
    "\n",
    "    Parameters:\n",
    "    - data: DataFrame\n",
    "        The input data containing the participants' information.\n",
    "    - column: str\n",
    "        The column name in the data to be used for the bar chart.\n",
    "    - title: bool, optional\n",
    "        Whether to display the title of the chart. Default is True.\n",
    "    - subpath: str, optional\n",
    "        Additional information to be included in the chart's filename. Default is an empty string.\n",
    "    - article_image: bool, optional\n",
    "        Whether the chart is intended for an article. Default is False.\n",
    "\n",
    "    Returns:\n",
    "    None\n",
    "    \"\"\"\n",
    "    ax = sns.countplot(x=column, data=data, order=data[column].value_counts().index, color='#d5a8d5')\n",
    "    ax.set_title(f\"Number of participants by {column.lower()}\" if title else \"\")\n",
    "    ax.set_ylabel(\"Number of participants\")\n",
    "    ax.set_yticks(range(0, 30, 5))\n",
    "    ax.set_xlabel(None)\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.show()\n",
    "    path = \"Bar\" if not article_image else \"Journal\"\n",
    "    subpath = f\" for {subpath.lower()}\" if subpath else \"\"\n",
    "    ax.figure.savefig(f\"images/{path}/Bar - Number of participants by {column.lower()}{subpath}.eps\", bbox_inches='tight', dpi=300, format='eps')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bar_chart_hue(data, column, hue, title=True, subpath=\"\", article_image=False):\n",
    "    \"\"\"\n",
    "    Generate a bar chart with hue using the given data.\n",
    "\n",
    "    Parameters:\n",
    "    - data: DataFrame\n",
    "        The input data containing the required columns.\n",
    "    - column: str\n",
    "        The column name to be plotted on the x-axis.\n",
    "    - hue: str\n",
    "        The column name to be used for grouping and coloring the bars.\n",
    "    - title: bool, optional\n",
    "        Whether to display the chart title. Default is True.\n",
    "    - subpath: str, optional\n",
    "        Additional subpath to be added to the image file name. Default is an empty string.\n",
    "    - article_image: bool, optional\n",
    "        Whether the image is intended for an article. Default is False.\n",
    "\n",
    "    Returns:\n",
    "    None\n",
    "    \"\"\"\n",
    "    ax = sns.countplot(x=column, data=data, hue=hue, order=data[column].value_counts().index)\n",
    "    ax.set_title(f\"Number of participants by {column.lower()} and {hue.lower()}\" if title else \"\")\n",
    "    ax.set_ylabel(\"Number of participants\")\n",
    "    ax.set_yticks(range(0, 30, 5))\n",
    "    ax.set_xlabel(None)\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "    plt.show()\n",
    "    path = \"Bar_hue\" if not article_image else \"Journal\"\n",
    "    subpath = f\" for {subpath.lower()}\" if subpath else \"\"\n",
    "    ax.figure.savefig(f\"images/{path}/Bar - Number of participants by {column.lower()} and {hue.lower()}{subpath}.eps\", bbox_inches='tight', dpi=300, format='eps')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# General style for the plots\n",
    "\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "palette = \"Pastel1\"\n",
    "sns.set_palette(palette)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Charts for the journal paper"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of participant demographic data: a) role versus gender, b) affiliation or specialization field, and c) age ranging."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current role  Gender              \n",
      "Professional  Female                  11\n",
      "              Male                     5\n",
      "Student       Female                  21\n",
      "              Male                    21\n",
      "              I prefer not to tell     1\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df.groupby(\"Current role\")[\"Gender\"].value_counts())\n",
    "bar_chart_hue(data=df, column=\"Current role\", hue=\"Gender\", title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Affiliation\n",
      "Business                          23\n",
      "Social Sciences and Government    21\n",
      "Engineering and Sciences           7\n",
      "Highschool Education               4\n",
      "Humanities and Education           2\n",
      "Architecture                       2\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[\"Affiliation\"].value_counts())\n",
    "bar_chart(data=df, column=\"Affiliation\", title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age range\n",
      "18 to 20 years    22\n",
      "21 to 22 years    19\n",
      "Over 50 years      6\n",
      "40 to 50 years     4\n",
      "35 to 40 years     2\n",
      "26 to 30 years     2\n",
      "31 to 35 years     2\n",
      "23 to 25 years     2\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[\"Age range\"].value_counts())\n",
    "bar_chart(data=df, column=\"Age range\", title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution displaying participants’ programming experience based on their roles: a) students, and b) professionals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<svg  width=\"495\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#fbb4ae;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#b3cde3;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ccebc5;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#decbe4;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#fed9a6;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ffffcc;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"330\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#e5d8bd;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"385\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#fddaec;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"440\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#f2f2f2;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
      ],
      "text/plain": [
       "[(0.984313725490196, 0.7058823529411765, 0.6823529411764706),\n",
       " (0.7019607843137254, 0.803921568627451, 0.8901960784313725),\n",
       " (0.8, 0.9215686274509803, 0.7725490196078432),\n",
       " (0.8705882352941177, 0.796078431372549, 0.8941176470588236),\n",
       " (0.996078431372549, 0.8509803921568627, 0.6509803921568628),\n",
       " (1.0, 1.0, 0.8),\n",
       " (0.8980392156862745, 0.8470588235294118, 0.7411764705882353),\n",
       " (0.9921568627450981, 0.8549019607843137, 0.9254901960784314),\n",
       " (0.9490196078431372, 0.9490196078431372, 0.9490196078431372)]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.color_palette(palette)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = {\n",
    "    \"Yes\": sns.color_palette(\"Pastel1\").as_hex()[0],\n",
    "    \"No\": sns.color_palette(\"Pastel1\").as_hex()[2],\n",
    "    \"Some\": sns.color_palette(\"Pastel1\").as_hex()[1]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Programming experience\n",
      "Yes     28\n",
      "Some    15\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Programming experience\n",
      "Yes     11\n",
      "Some     4\n",
      "No       1\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Programming experience\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Programming experience\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Programming experience\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Programming experience\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Programming experience\n",
      "Yes     39\n",
      "Some    19\n",
      "No       1\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[\"Programming experience\"].value_counts())\n",
    "pie_chart(data=df, column=\"Programming experience\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution displaying participants’ experience in developing data analytics projects based on their roles: a) students, and b) professionals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data analytics experience\n",
      "Yes     24\n",
      "Some    17\n",
      "No       2\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data analytics experience\n",
      "Yes     8\n",
      "No      6\n",
      "Some    2\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Data analytics experience\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Data analytics experience\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Data analytics experience\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Data analytics experience\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data analytics experience\n",
      "Yes     32\n",
      "Some    19\n",
      "No       8\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[\"Data analytics experience\"].value_counts())\n",
    "pie_chart(data=df, column=\"Data analytics experience\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution displaying participants’ experience in programming tools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using tools like Python, Colab, etc.\n",
      "Yes     36\n",
      "Some     7\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using tools like Python, Colab, etc.\n",
      "Yes     6\n",
      "No      5\n",
      "Some    5\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Experience using tools like Python, Colab, etc.\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Experience using tools like Python, Colab, etc.\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Experience using tools like Python, Colab, etc.\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Experience using tools like Python, Colab, etc.\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using tools like Python, Colab, etc.\n",
      "Yes     42\n",
      "Some    12\n",
      "No       5\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Experience using tools like Python, Colab, etc.\"].value_counts())\n",
    "pie_chart(data=df, column=\"Experience using tools like Python, Colab, etc.\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of participants’ experience related to the use of generative AI tools like ChatGPT."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of participants who have previously used ChatGPT for general purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT in general\n",
      "Yes     25\n",
      "Some     9\n",
      "No       9\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT in general\n",
      "Yes     14\n",
      "Some     2\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Experience using ChatGPT in general\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Experience using ChatGPT in general\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Experience using ChatGPT in general\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Experience using ChatGPT in general\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT in general\n",
      "Yes     39\n",
      "Some    11\n",
      "No       9\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Experience using ChatGPT in general\"].value_counts())\n",
    "pie_chart(data=df, column=\"Experience using ChatGPT in general\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of participants who have previously used ChatGPT for programming tasks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for programming\n",
      "Yes     21\n",
      "Some    12\n",
      "No      10\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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Jm1iXBwHLsrjllluoqqri1ltv/cL98XicH/7whyxZsoRZs2bx1FNPMWzYMM4//3zef//9Lq1VMotXP1sKAR5gjIHqKuL/+Btm1Qpd9ieu2920kw/3/IvKyG6ga3sF+vTpwy9/+Usee+wx3njjjVb3vfHGG3z00Uf89re/ZeLEiQwZMoQbb7yRoUOHMm/evC6rUTKTFz9bCgEZzDgOJh7HWfYB8Tdfh9oat0sSSYqbOGtqVrChdg1gujQInHXWWRx99NFcd911rbpuV65cSUFBAcOGfTY5zLIsjjjiCFauXNll9Unm8tpnSyEgQxljoHI38YWvYtatdrsckf3a0biVjys/IOI0dWkQuPnmm6mpqeG///u/k7ft7/2NMfj9mictbeOlz5ZCQIZJXve/dhXxt9+AhnqXKxI5sIZ4Hcsq32NP0y6ga4YHevfuzdVXX80TTzzBkiVLABg+fDg1NTWtzsyMMbz77rsMGTKk02sSb/DSZ0shIIMYxwHHIb50cWLmv8b+JYM4xmFt7UrW1azCYBKrWHayb33rW0yZMoWNGxP7Y0yZMoVDDjmEK6+8kkWLFrF69WpuuukmVq5cyfe///1Or0day/HnkOPL67o//pyU1e6Vz1b69lFIK8ZxoKmR+OK3oKba7XJE2m1X03bqYrUMLhhOyBfu9AWGbr75Zk455RQAfD4ff/rTn7j11lu59NJLiUQijBo1ivvuu48xY8Z0ah3SmjGm3Qv3dPR9U/WZ88JnyzLpsN6nfCljDGbndpyliyEadbscb+vVG//4SXxc+T71sX1fCyypYWPTL38Q3cM9tTOhBzU2NrJ27VoGDRpEOBx2u5yscjC/e/UEpLGWL0azakVi5T8RD3FwWF+7mppoFQPyB4OxtBmRSBdTCEhTyfH/95Zgtm1xuxyRTrO7aSf1sTqGFo5Mi/0HRLKJYncaMsaBhnrib76uACBZoTHe0DwEU5cWOxKKZAuFgDRktm8j/sZrWvxHskrMRFlR9SFVkT0KAiJdRCEgzTifLMdZ8jbEYm6XItLlDA6ra5azvVE9YF6hQNf1DuZ3rhCQBlr+D4t/9L4mAIoAn9atY2PtWkCNSKZqWSUvphOaLtfyO2/LSoUKAS5LBoD3lmj5X5G9bG/cwpqaxOprCgKZx+fz4fP5qK7WuiZdrbq6Ovn7PxBdHeAiYwwYg/OvRZoAKLIPe5p2EndiDC4cAQZdOZBBLMuirKyMLVu2EAqFyMvL0/9/ncwYQ11dHdXV1ZSXl7fp960Q4BJjHHAMzuK3MLt2uF2OSNqqjlaysuojhhaNxDa2GpIMUlRURENDAzt37mTHDn3PdQXLsiguLqaoqKhNj1cIcEFyDYB33oDKPW6XI5L26mI1rKj8gKFFh+LHryCQISzLory8nLKyMqJa7bRLBAKBNg0DtFAI6GLJAPD2G1ClACDSVg3xelZUfsDw4sPw49PqghmkrePT0vX0r6gLfRYA/qEAINIOTU4jn1R9hIPRZEGRFFAI6CKtA0Cl2+WIZKyGeD2fVC1r3o5YQUCkIxQCukAiAMQVAERSpC5Ww+rq5YAuHxTpCIWATtZyGWD87TcVAERSqDpaydrmdQREpH0UArqAs3Sx5gCIdII9kV1sqFvjdhkiGUshoJM5yz/UQkAinWhn4zY21a13uwyRjKQQ0EmMMTjr12LWrHK7FBHP29qwiW0Nm90uQyTjKAR0AuM4mF07cD76t9uliGSNT+vWsbNxmyYKihwEhYAUM44D9XU4774D+jIS6VLra1dTFdmjICDSRgoBKWQcB2Ix4ov+Cdo+U8QVa2pW0BCvT+zPISJfSiEgRRJnHob44n9CQ73b5YhkLYNhdfVyHOOoR0DkABQCUsSyLJylS7QhkEgaiDhNrKn5RBsNiRyAQkCKxJd/hNmq2cki6aI6uoct9RvVGyDyJRQCOsgYg7NxPWa1Vi4TSTeb6zdSG61WEBDZD4WADjCOAzXVOB++53YpIrIfa2pWEjNRBQGRfVAI6BBDfOlicDQLWSRdxUw0udmQiLSmENABzscfQm2N22WIyAHUxWr5tG6d22WIpB2FgHYwjoOzcztmnTYuEckU2xu3sLtpp4YFRPaiEHCQjDEQj+O8967bpYjIQVpfu4omp1ELCYk0Uwg4SJZl4bz/L2hqdLsUETlIjnFYXb0c9QWIJCgEHARjHJxPN2g9AJEM1hhvYHP9Bg0LiKAQ0GbGONDYpJ0BRTxgW8Pm5v0FFAQkuykEtJmVuBxQGwOJeML6mlVulyDiOoWANjDGJFYE3LPL7VJEJEXq43Vsa9is3gDJagoBB5BcFXDlx26XIiIptqV+I1EnoiAgWUshoA3iSxeDviREPMfBYX3tau02KFlLIeBLGGMw61ZrVUARD6uOVrKrcYd6AyQrKQTshzEGYlGcT1a4XYqIdLJP69YRN3EFAck6CgFfwlmxDGJRt8sQkU4WM1E+rVurYQHJOgoB+2CMgbpazIZ1bpciIl1kV9MOaiJVWlJYsopCwD5YloWz7H1NBhTJMutrV2tJYckqfrcLSDfGcTC7dmB2bHe7FJE2cxyHvz2zkFf+/De2b95BYUkhR0wZyxkXfJPcvBwAlv7z3zw572k2rdtMQVEBU79xNN/8/in4A599DTx291P87ZnXCYaCnHH+NznmpCnJ+4wxXHf+TXz9rBOZ8rUju/wYu0KT08i2hs30yumjoQHJCgoBn2dZOMs+cLsKkYPy/IN/4bF7nuLk70zn0CNGsnXjNh6/5yk2rvmUa+b8nA8WfcRvfnkbU79+NGf96Ew2r9/Co3OfZM+uKi785Q+AREh44eGXuPDq86irruPeW+9j8CGD6FvRB4C3Xn0Hx3E4+sTJLh5p59vWsJmynHJ8+NwuRaTTKQTsxThOYh6ALgmUDOI4Ds8++CLHn3YsZ//ntwA4bMKh5Bfmccev5rJ2+Tqevf8FBg0fyMX/dX7y/pqqWp7+v+f47mXfIZwT4sPFyxg1YWTyLP+15//OsqXL6VvRh1g0xqN3P8UPr/yu58+Q4ybGtobNlOf09fyxiigENDPGgONoZUDJOA11jXzla0cx+fiJrW7vPaAcgG2btnPhNecRj8Vb3e/3+zGO+ex2C4Kh4F73+3CcxCS5V576Gz16dmP05MM68UjSx7aGzfQMl+Oz9BUp3qZP+F6clR9DNOJ2GSIHJa8gl+9ffu4Xbl/yj38B0LeiDz37lCVvr69r4MPFH/HCwy9x5LRJ5BXkAjB01BDu++39bNmwlbqaOjau+ZRhhw2lvraep+c/x1WzLu+aA0oDjomztWETvXP7qzdAPE0hgOZegIZ6zPo1bpcikhKrPlrNs/e/yLijx9Cvom/y9j07K/nxaYnGvKx3D866+IzkfZOOO4KPlizjF//vOnx+H2decDoVIwbyyNwnOGTMCCqGD+T+2x/mvbfeZ8DQ/vzgiv9HYXFBlx9bV9nesIWeOb3x4VcQEM+yjJbIAiC+5G3Mti1ulyFu69Ub//hJfFz5PvWxWreraZcV73/CrF/MoaRbMTf88RoKivKT99XV1LNu5Tpqqup4ct7T1FbXcsufZlDaoyT5mGgkis/nw/bZ7N6xh6vO+S9+fe8NvL/oQ157diE/ufE/eXr+88SiMX52y4/dOMQuUxYup2/eQIUA8aysXyfAGIOprVEAEE9469V3mPnTWXTv2Y3/uu2qVgEAEkMHh44fyeSvTuAXv7mc6j01vP7c31s9JhAMYPsSXw1P3PtnjjxhEr0HlLPotSVMmX4UfSv6MP3bJ/DuP5bixL29sM6Oxm3ETEzLCYtnZX0IAHBWf+J2CSId9vxDf+H3M+5i6KjB3PCHqynpXgyAE3d4e8Ei1q1c3+rxPcq7k1eYx56dlft8vU/XbOLtBYs547zTAKjaU01+QR6QCBPxeJyaKm9fSWNw2FK/0e0yRDqNQkA0gtmsf+SS2RY8/RoP/eExJn11AlfPvpLc/NzkfbbP5uG5T/DwnY+3es7aFeuoraql/5B++3zNh+98nBPP+ColzUMFRSWFVO6uAqByVxW2zya/MH+fz/WSnY3biDoR9QaIJ2X1xEBjDM7a1eB4u0tTvK1yVxX33/4IPcq7c+IZx7N2Resz/p59enDGD09j7s33Mm/WfCYddwTbN+/giXufpl9Fn1arArb4eOlyPvlwFT/+1UXJ28YePZpXnvwbA4cN4KXHX2HM5MPx+b2/oI7BsLl+IwMLhrhdikjKZXUIwDiYDWvdrkKkQ957699EmiLs2LKTmy757y/cf/F/nc8xJ00hFA7y7P0v8sZLbxLKCTNh6jjO+tGZrdYGaPHQHx/n1O+e1KpH4WtnnsDGNZv4/Yy7GDR8QHLhoWywq2kH5bl9CdohTRIUT8naqwOM42A2rsf58D23S5F04oGrA6Rz9Aj3ol/eIIUA8ZSsnRNg2TbO2lVulyEiGWJ30w6M9hgUj8nKEGAcB2f7VqjTmZ6ItE3cxBNBIDs7T8WjsjIEWLaNWaPLAkXk4Oxo3KbhAPGUrAsBxhhMdRVm1063SxGRDFMfq6UhVqfeAPGMrAsBlmXhqBdARNppe+NWt0sQSZmsCgHGGExTI2bzp26XIiIZKjFBUGuLiDdkVQgAcNatBnXliUg7OcZhV+MOjFEQkMyXVSHAsizMJi0RLCIdk5ggmFVfn+JRWfMpNsZgKvdAQ4PbpYhIhmuI11EXrdUEQcl4WRMCABzNBRCRFNmhCYLiAVkTAizLwmzZ5HYZIuIRe5p24miCoGS4rAgBxhjMnt3QqKEAEUkNB4fdmiAoGS4rQgBoKEBEUq8yskcTBCWjZc2nV0MBIpJqNdEqHPUESAbzfAgwxsCe3dDU6HYpIuIxBofqSKWuEpCM5fkQABoKEJHOUxnZ7XYJIu2WFSHAbNVQgIh0jqrIHu0sKBnL0yEgMRSwC5qa3C5FRDwqZqJaOEgylqdDAICzSUMBItK5KiO73C5BpF08HwLM1s1ulyAiHqchAclU3g4BNVUQ0VCAiHSuhng9kbi+ayTzeDYEGMfB7NrpdhkikiUqI7u1eqBkHM+GAMu2Mbs1TiciXaMyslurB0rG8fQn1uxRCBCRrlEbrcYxcbfLEDkong0BpqFelwaKSJcxGGqi1bpUUDKKJ0OA5gOIiBvqYrWAQoBkDk+GACxL8wFEpMvVRWs1L0Ayiic/rZZlaT6AiHS5+lit2yWIHBRPhgATjUJtjdtliEiWiZkoUSfidhkibea5EGCMwezWfAARcUdttEaTAyVjeC4EAJoPICKu0ZCAZBLPhQDNBxARN9XFarWPgGQMz4UA4zhQVel2GSKSpepjdW6XINJmngsBVFWCo/W7RcQdcRPTZkKSMTwVAozjYGqr3S5DRLJcbUyTAyUzeCoEAJh6dcWJiLs0OVAyhadCgGXbUKcQICLu0uRAyRSeCgEApr7e7RJEJMtpcqBkCs+FADQcICIuc0ycuBNzuwyRA/JUCDCxGES1ZKeIuK/J0RUCkv48FQJo0FCAiKSHpnijrhCQtOeZEGCMwWjTIBFJExGnCYNCgKQ3z4QAjAFNChSRNNEUb8RCVwhIevO7XUDKWBamXtfmikjXs7AI2EECdpCgHSToC5EfKNRlgpL2PBMCLMtST4CIpFxLAx+0QwR8ib+DzQ1+yBcmYAfxW/5WDb4xBscYjDEKApLWPBMCQKsFisjBsbATDfrnGvegHSLkCxGwQ/jt1l+TiQbeIRaHaMyhKhKnIdpEbWOMmoYoVfVRmmIOQb/NiYf3dunIRNrGMyHAGKOrA0QkycZONu4tDXtLgx+ym8/gP9fAO8bBcQwxB6JRh9pojIZI42cNfEOUSKxtG5RFYg6OMdjqCZA05pkQQFNjYnKgiHiebdn7bNwTPyf++Gxfq+ckG/i4IRI11ET2auAbo1TWRYmleAfSSMwhHPAd+IEiLmlzCLjmmmt44YUXeOaZZxg0aFCr+3bs2MFJJ53E1KlT+c1vfpPyItskokWCRLzAZ/kI7N0170v83NK4B3xBfNaXNPARh5pohPqmGLVNLV30Edp4Ap9SkVhcIUDSmmXauJpFdXU1J510EgMHDmT+/PmtJrv85Cc/4f333+e5556jsLCw04r9Mmb3TuJv/cOV9xYP6dUb//hJfFz5vnaC6wQ+y9/cuIcI+oKf/WwHCfrCBO0A9l4NvDEGgyHe0sDHHBojceojMWobY1Q3RKlqiJDiE/iUOXJoD7oVhNwuQ2S/2twTUFhYyE033cSPfvQjHnvsMc466ywAXn75ZV555RXmzZvnXgAwBhONuvLeqfDT/+9+ln26iVeuvzp52+sffcydf13Ayi1bKcnL5cTRh/GTr59IXuizL5RX3/+QWc++SE1jI6eMH8svTjsJn/3Z0g+3PvM8dY1N3HTWGV16PJKd/JY/2bjv3U0ftEMEfYmue9v67PP5+Qa+sdGhsuUMvjEx/l5THyVN2/c2icYdXSEgae2g5gQcd9xxnHrqqcyaNYvjjz+ecDjMr3/9a8455xyOPvpoVq9ezf/8z/+wZMkS8vLymDRpEldffTU9evQAYN26dfz617/mvffew3Ecxo0bxy9+8QuGDx/esaMwBmKZuVnHc0uW8uoHH9G7pDh526vvf8jP/u9BJgwexG+/dw7ReJy5f13Ae+vu5YGf/Ai/z8fu2lqufuhRvjt1CqP69WXG408xuGcZ3z5qEgCbdu/m6UVLePqqy106MvESvxVoHndvadhbzuabu+jtwBcbeGOIG0M0ZmhodNgdaaI+kuier2mIUNMQy+gGvi1icQcDWjJI0tZBTwy87rrreOutt5g1axaFhYXk5eVx1VVXsW3bNs455xxOOeUUrr76ahoaGrjjjjs466yzeP7558nNzeWKK65gxIgRPPnkk8RiMW699VYuvfRSXnnllY4fSSzzegK2V1Uz88/P0qu4qNXtf3j5VSrKenDXRT8k6E/8XzS+YiDTb5nFnxe9y7eOnMh769bjs20u+/qJWJbFolWreeuTVckQcPuLf+VbR06i5+deW+TzAnag9Rh8sqv+swbe+lwD7xiD4xiicUN9U5yGaCP1TYkJdtX1UWoaMzOUp1osblAKkHR20CGgqKiIGTNmcOmllxIIBHjggQfIycnhrrvuolevXlx33XXJx86ZM4fJkyfz0ksvcfrpp7NhwwaOOuoo+vTpQyAQYObMmaxZswbHcbDtjqxgnJk9ATc8+iRHDx9KMOBn8ao1ydvXbN/BOVOOTAYAgO4FBVT0LOPvHy/nW0dOBCyC/s8WKAn4/DjNA6Mff7qJN1as5C//dVWXHo+kn4D9+XH3vWfUtzTwX1zkJt7cwNc1xamPtG7ga5sy79+aW6LpOllBpFm7LhGcNm0ao0aNok+fPowePRqAZcuW8cknnzB27NhWj21qamL16tUAXH755cycOZOHHnqIiRMn8pWvfIWTTz65gwEAwEpsI5xBnnh7Ecs+3cQzv7icWc+90Oq+krxcNu/e0+q2aDzO1j2VRJuP89C+fahpaORvH37EoX37snDZx5wxeSIAv33+L5x/3DEU5uR0zcGIC6y9ztz37qYPJc/k/daXNPAxh9pGh/poPfWNMWoaY1TVR6mPZNa/o3QXixv1Akhaa/c6ATk5OeTs1cg4jsPkyZP51a9+9YXHFhQUAHDuuecyffp0Fi5cyFtvvcXtt9/OnXfeydNPP0337t3bW0pzAfGOPb8Lbd69h/995gVuPvtMSvLzvnD/f0w8grtffY17F7zO6ZOOoDEa446/vExNYyO5oSAAPYuLuOHMb3L1g4/RGI1y4uGjOGfKkby5YiVrt+/gD+d/n6feWcz9f3+TotwcfnnayRzSt09XH6q0w2fL1LZu3BPL1DavYrfPZWod4nGIxB2qGx0aIvXUtVwi1xChIaKz0q4WizvKAJLWUrZY0NChQ3nxxRcpLy8nGEw0VJWVlfzyl7/kvPPOY+jQofzhD3/goosu4vTTT+f0009n27ZtTJ06lUWLFvGNb3yj/W9uWeBkxkJBxhiue/QJph4ynBNHH7bPx/z4a9OIOw53vPQKv3vhJfw+H2dOnsBXR41k9dZtycedPmkC35wwnmg8TigQwHEcZj//Fy45cRprt+9g5p+fY+6FP+DjTZv58bz/46Vrf9FqiEG6Xutlavfqpk9eIhfEbwdaPScxwS7RwO+9TG1dY4zqxhjVdREa3bgIXg4o7ujKAElvKWsRzjnnHB599FF+/vOfc8kllwBw6623smLFCoYNG0ZhYSGvv/46GzZs4MorryQ/P5+nnnqKQCDAqFGjOl6AyYwvwYfeeIuVm7fy56t+Riye6L1oWakhFo9jWxZ+n48rTv46P/7aNDbu2k1ZUSGFOTl87/dzKcrNbfV6tm0Tah5Oef5f7xGJxfnmxPH88eVXOaJiEEcMrmDcoIHc9uJf+fe6DUwYUtGlx5tNWhr4xCVye53Bt2GZ2rgDkahDZTROfaSJuqYY1fUHt0ytiMjBSlkI6NevHw888AC//e1v+c53voPP52PcuHHMnz+f0tJSAO655x5uvfVWfvCDH9DQ0MAhhxzC3XffTf/+/Tv03lYG9QS88v4H7Kmr49gZt3zhvtFXXcslJx7PhCEVRGJxpowYxpBePYFEQPhky1ZOmzB+n68bicW44y9/5epvnoLPttldW0dRbmK4xrZtCsJhdtbUdN6BeZyN3WpS3d5bxrZcD+/7knXoI1GH2kiM+r2Wqa1WAy8iLmt3CLj//vu/cNvIkSOZN2/efp8zePBg7r777va+5ZfLkJ6AX33rdOqamlrd9seXX2XZp5v4/fnfp6ywkLtffY3XPlrGS9f+goAvsXraU4uWUN3QyPGjDt3n6z74j39SVlTI8Ycl7i/Nz2PDzl1AIiBU1tdTmp/fiUfmEc2/7/LcvljYhNq8TG2iga9rjFHdEHFtmVoRkYPhnQHiDLkUZ1BZjy/cVpyXS8DnY1S/vgCcddQknnh7Edc+/DinTzyC5Zu38LsXXuLrYw7fZ3d+VX09d7/6Gr8//3vJ244ZeQj3Lnidpxe/y6ot2yjICTN6QMd6XLKCbeMYh3xfEdG4oSniUJVcxS6xTG1Ngxp4EfEGhYA0NLS8F3+84AfMeeElfjzv/+heUMDF047jwmnH7fPx9yx4nbGDBjC+4rONnQ4f0I+fnTSd3z73IkW5ucz+3jmEg4F9Pl8+Y4VC2JbN35ZtoTGaOVeciIi0R5s3EEp38aWLMZs/dbsMyXD2oYdjDxzMX97bRDxD5plI+upbmsuYgaVulyGyXx1dpSctGGMgoLNcSYFQuHm2vgKAiHifJ0IAxoBfIUA6zgoGica9M7Qk7rK1RoCkOW+EAAyWegIkFQJBIgoBkiI+n4XjjRFX8SiPhABLPQGSGn4/UU39lxQJ+OzELoIiacobIcBCcwIkJYzPT5OuCpAU8dsaDpD05okQYFm2QoCkhs+n4QBJGb/PE1+x4mGe+YRagaDbJYgXWLaGAyRl/D4LzQ2UdOaZEKCeAEkJ29J6/pIyAZ+tXQQlrXknBGhioHSUbWNbli4RlJQJaDhA0px3PqF+76yALC7JSWzTrJ4ASZWg3ztfseJNnvmEWj4fGnyTDsnLAxQCJHVCAd+BHyTiIs+EAEBDAtIx4RwADQdISgR8Fj5dIihpzlshQJMDpQOs5hCgngBJhbB6ASQDeCsEhMNuVyAZzAolPj+6RFBSIRzUPCVJf54JAcYYrLwCt8uQTBYKEYs7WuVVUiIn4MMjO7WLh3kmBGAMVr5CgLSfFdAOgpI64aAPZQBJd94JAZYFCgHSEYGAhgIkZTQnQDKBZ0KAZVlYBQoB0gH+AE0KAZIiuSEftq4OkDTnmRAAJC7xsr11SNJ1jM+nKwMkZQpzdLWSpD9PtZiWZUFevttlSKayfRoOkJQI+CyCfg0HSPrzVAgANDlQ2s+2tI2wpER+WL0Akhk8FQKM42hyoLSbZWkHQUmNgnBAlwdKRvBUCMCy1BMg7eMPYGkHQUmRghy/Lg+UjOCpJa0sy4KCQrfLkEykzYMkhQrCAe1nJhnBWz0BkPwyFzkozdsIR2NxlwsRLyjISfQsiaQ7z4UAy/Ylv9BF2srKad48SMMB0kFBv60thCVjeC4EgK4QkHYINW8jrOEA6aDivKDbJYi0medCgHEcKC5xuwzJMFY4hDGGaFyzuaRjSvKCOJoVKBnCcyEAy8Lu3sPtKiTTBEPEFAAkBUrzQmg2gGQKz4UAy7KguFTLB8tB0Q6CkgoWieEATQqUTOHJltKybaySbm6XIZkkoM2DpOMKcgL4tGmQZBBPhgDjOFgaEpCD4fMT0eWB0kEleUGtFCgZxZMhAMvC6l7mdhWSQbSDoKRCSV4QRQDJJJ4MAZZlQVEx+Dy1IKJ0JtvW5YHSYd0LwtiaDyAZxJMhABJBwCrVvABpI8vWQkHSIflhP+GgFgmSzOLZEKB5AXIwLEv7BkjH9CgMaz6AZBzP9pdbtg2aFyBtEc5J7CCoECAdUFYYdrsEkYPm2Z4AILGjYEBLeMoB5Cb2mtBwgLSXbVl0yw9pfQDJOJ4OAZZlYXXr7nYZku6SOwgqBEj7dCsIYWt9AMlAng4BxnEUAuSAkjsIKgRIO5UVhrRfgGQkz84JgOZ5AT16ul2GpDkrlBjL1bLB0l5lRTm6NFAykqd7AgCsvPzE3ACR/QmFcRxD3NGZnBy8/LCfvJCnz6fEwzwfAozjYPft73YZksasoDYPkvYrL87RUIBkLM+HAMu2sfooBMiXCAQ1H0DarXdJrrYOlozl+RAAYIVCWjhI9s/v1+WB0i55IT8FOQFdGigZKytCgHEc9QbIfhmfn0hUOwjKwetTmquhAMloWRECLNvGKu8DPq3rLfvg86knQNqlT6mGAiSzZUUIALB8Pqye5W6XIenI0g6CcvCKcgLkhfwaCpCMljUhwDgOVt8Bbpch6ci2NDFQDpqGAsQLsiYEWLadmBwYCrldiqQT28a2LF0iKAfFtqBf9zwtECQZL2tCQAurd1+3S5B00rxvgHoC5GCUl+QS8GXd16d4UNZ9im0NCcje8vIAhQA5OAN75GkoQDwhq9a6tCwLCosgvwBqa9wuR9JBOLF5kNeGAxzH4e0FL/DPV55h1/Yt5BeVMGr8UXztzO8Tzk0EnzXL3+fFR+axecMacnLzOWzC0Uz/9g8JN/eOALz512d49ekHMY7DV6afzvHfPKfV+9w3+1f0HTSMaf9xbpcen5sKwn5K8jSsKN6QdT0BxnGwtWaANLPC3txB8LXnHuXP993OIWMnc96VN3HsSd9iyT/+yn2/m4Exhq0b13HXzF/gDwT53mXXc+IZ3+XdN17lwd/fknyNLRvW8Of7fs9XT/0Op/y/H/HXp+5n+b8XJ+9ft/Ij1n/yMVO/cYYbh+ia/t3z1QsgnpFVPQHQvLPggIGwajnEtUBMtkvuIOihEOA4Dq899wiTjz+Zk75zAQDDDhtPbkEhD9x+M5+uWckHi/8BWJx35U2EmoOQE4/zxLw57N6xjdIePfnko6X07DuAr0z/DwD+/fZCPvnwX4wYPQGA5x66mxNO/y7B5t9hNrAti37dcjUhUDwj63oCAPAHsPoNdLsKSQehELG4g5fO65oa6hk/5QTGHX18q9t79k70gO3cvploNILP7ycQ/KxbO7d5t8362iogMXwWCAaT9/v8fhwnEZw/WPwGtVV7mPTVb3TqsaSb3iU5+GwFAPGO7AwBgD1kGNhZe/jSzIs7CObk5fMfP7iUQcNHtbr9g8VvAtCr70AmHvt1AJ69/07qaqrYunEdf33yfsr7DaL3gMEADBg6ki0b1rBh1XJ2bNnI6mX/ZtDww3CcOC8+Mo9vnHU+vixbhbOiZ4HbJYikVNYNB0DiDMcEQ1h9+mE2rne7HHGTP+CpoYD9Wb/qY/727MOMHHck5f0GAXDydy7iqf/vdv7x0lMAlHTvyY9nzMG2Ew17/8EjmPbNc/nDTT/DOIajTjiFwyd+hbcWPE8onMPhk6ay4OmHePeNVyjtUc5/nPcTupV5d1XOHoVhCnMCbpchklKWMdk5w8UYAw31xF/7q9uliIt8X53OzqjFO6t2ul1Kp1m74kPmzbqWwuJSfvyrOeQVFLHgmYd58ZF7OfrE0zhswleoq6nilT8/QCwa4dJfzaGguDT5/HgshsHg9wdoamzgfy7/Pt/58dVEGht5ct4czv/FzSz952usXvZvfnbLH1080s511LAeFOcFNR9APCVr+8Mty8LKzUtsLCRZy/h8nrsyYG9L33qNubdcRXG3Mn507W/IKygiHo/z6p8fYNzRx3P6eZcxdNRYxhx5LD+6dhY1lbt57fnHWr2Gz+/H70+cAf/9xSfo1X8Qw0aN4/1Ff2fUEUfTd9Awjj3522xcs4LdO7a5cZidriQvSGl+SAFAPCdrQwCAMQ72kOFulyFusn2eHQ547fnHePCOWxg4dCQ//tXvKCzpBkBddSWRpsYvzBkoKCqhR3k/tn26bp+vV1tdyevPP85JZ5+f+O+qSnLzE2PkuXmJv2uqdnfS0bhrSM8CXRYonpTVIcCybKzCIqweZW6XIm6xLU9uI/zWq8/x/IN3MXryMVx4zf+Qk5ufvC+/qJjc/ALWLP+g1XNqq6vYsfVTSvczrv/XJ+czYsxE+g4alnyd6uZGv7pyV+K2wuJOOBp35Yf99CzOUS+AeFJWTgzcm3Ec7CEjiO/Y7nYp4gLL8t4OgtWVu3nm/jsp7dGLo0/8JpvWftLq/m49e/O1M3/An++7g3BOLodPPoa6mir+9szD2LbNsSd96wuvuXPrJhYvfJkrb70nedvIsZN5/N7ZHDJ6Ih8ueZPeAwZT2qNXpx9fVxvc3AugECBelPUhwLJtKO0GJaWwx5tdmbIf/iCWB3cQ/HjpO0QjTezesZU/3PizL9x/1o+uYsrXvklObh6vv/AEixa+TF5BIRUjDuMHV9y4zxn+Lz4yjwnHfI3uPXsnbzt80lQ2rPqYx+6ZTbeycs798X8llub2kNygj76luZ47LpEWWXt1wN6M42B2bsdZ/JbbpUhXKirGP+U43lm1kx3VjW5XI2lo7MBSyks0FCDeldVzAlpYto1d1guaV0yTLNG8UU40puWj5YsKcwL0KdUSweJtCgHNjONgDx3hdhnShayc5s2DPDYcIKlxSJ8iXREgnqcQ0MyybezyPlil3d0uRbpKqHkbYY9NDJSO614QokdhWL0A4nkKAXsxjoN92BjQP/ysYIVDGGOIxnW2J62pF0CyhULAXizbhrx8rAEVbpciXSEYIqYAIJ9TXpxDUa6WB5bsoBCwD/bwkRAKHfiBktGsgPd2EJSOsa1EL4AumpJsoRDwOZZlgW1jjxh14AdLZgsEaNJ8ANnL4J4F5AR9WhdAsoZCwD5Yto3dtz80r7UuHuXzE9HlgdIsN+hjaK9CBQDJKgoB+2EcB99hozVJ0MO8voOgHJxR/UtA/9wlyygE7Idl25BfiNV/kNulSGexbV0eKAD0Kg5TpksCJQspBByAPeJQCAbdLkM6g2VroSDBZ1uM6leiyYCSlRQCvsRnkwQPdbsU6QSWhYYDhGHlhYT8tuYCSFZSCDgAy7ax+w2E4hK3S5FUCuckdhBUCMhqhTkBKsryFQAkaykEtEFikuBYTRL0ktw8QPsGZDPbgnGDStEggGQzhYA2sGwbCgqxhx3idimSKjnaNyDbDe9dRF7Ir8mAktUUAtrIsizsIcOxupe5XYqkQHIHQYWArFSaH9QwgAgKAQfFGIM9doKWFPYAKxQG0LLBWchvW4wdWOp2GSJpQSHgIFiWBX4/9pgJbpciHRUK4ziGuKMR4Wwzsm8x4YCWBhYBhYCDZtk2VrfuWIOHuV2KdIAV1OZB2aisKEz/7nkKACLNFALawbKsxE6DxepSzFiBoOYDZJlwwMfYAaVaFEhkLwoB7WUMvnETwR9wuxJpD79flwdmEduCIyq64fNZ6gUQ2YtCQDtZtg2hEPbocW6XIu1gfH4iUe0gmC1G9i2mKDegywFFPkchoAMs28bu1VubDGUin089AVmiT0kOA3vockCRfVEI6CBjDPahh0NBodulyMGwtINgNsgP+zlc8wBE9kshoINazi584yeBz+dyNdJmtqWJgR7nty0mDO6OZaFeAJH9UAhIAcu2ITcPe8wRbpcibWHb2JalSwQ9bszAUnKCPs0DEPkSCgEpYlkWVs9y7ENGuV2KHEhOLqAlg73skD5F9CwKKwCIHIBCQApZloVdMRRrgCYKprW85h0EFQI8aUD3PAb3LNAQgEgbKAR0AvvQ0VhlvdwuQ/YnnOgJ0HCA95QVhhnVr9jtMkQyhkJAJ7HHTYTCYrfLkH2wwonNg9QT4C2FOQHGV2gVT5GDoRDQCazEdGR8E49Kjj9L+kjuIKgQ4BnhgI9JQ7on5uZoGECkzRQCOoll2xAI4Js8RVsPp5tQiFjcQVeOe0PAZzFpSHcCflsTAUUOkkJAJ7JsG8I5+CYdrT0G0oh2EPQOn20xaUgP8sJ+BQCRdlAI6GSWbUNeQWJowNZiQmnBH9BQgAfYFkwc3F17Aoh0gEJAF7BsG4pLsMdPBH1Zuc8foEkhIKO17ApYmh/UHACRDlAI6CKWZWH16JlYVVBfWq4yPp+uDMhgFjBuUDd6FIYVAEQ6SCGgC1mWhVXeB3v8JLD1q3eN7dNwQIZKBIBSehYpAIikglqiLmZZFlZZL3yTpoDf73Y52cm2tI1wBrItGFdRSq/iHAUAkRRRCHCBZVlQXILvyKkQ1OWDXc2ytINgpvHZFhMHd6dXkQKASCopBLjEsm3IL8B39DFaUKgr+RMTyXSJYOYI+CyOHNqDbgWhlASAZ599lm9/+9uMGTOGsWPHcsYZZ/DII4+koFKRzKP+aBdZto0J5+A7+ljib/8DamvcLsn78rSDYCYJBWyOHNqD3JA/JQHgiSee4JZbbuHaa69l/PjxGGN48803ufnmm9m5cyeXXnppCqoWyRwKAS6zbBsTCOA7+hjii/4Je3a7XZK3Nfe6RGNxlwuRA8kN+ThyaA9CAV/K1gF46KGHOOOMMzjzzDOTt1VUVLBt2zbmz5+vECBZR8MBacCybfD58U2agtWjp9vleJqVkwOgiYFpriAnwJThZSkNAAC2bbN06VKqqqpa3X7RRRfx6KOPAtDY2MicOXM4/vjjOeywwzjttNN4+eWXk4996qmnOOGEE3jkkUc49thjGT16NJdddhnbtm3j5z//OWPHjmXq1Kk88cQTyecYY7jnnns4/vjjGT16NKeddhrPPvtsyo5LpL0UAtKEZVlg29gTJmP17ut2Od4VSoQAXSKYvnoWhZkyvAd+X+r3ArjgggtYtmwZU6dO5aKLLuLuu+/m/fffp6CggEGDBgFwxRVX8PTTT3P99dfz7LPPMm3aNH7605/y6quvJl9n8+bNvPTSS9x9993cfvvtLFiwgFNOOYVDDz2UJ598kqlTpzJjxgz27NkDwO9+9zsefvhhrr/+ep577jm+973vMWPGDB588MGUHp/IwdJwQBqxLAtjwDd2AvFgELNujdsleY4VDmGMIRrX9kHpaHDPAkb0LgTolKsApk+fTq9evZg/fz5vvvkmCxcuBGDgwIHMnDmT4uJiFixYwNy5czn22GMB+MlPfsLy5cuZO3cu06ZNAyAWi3H99dczePBghg0bxogRIwgEApx33nkAnHfeeTz++OOsW7eOUCjEfffdx+zZs5Ov2b9/fzZt2sS8efM499xzU36cIm2lEJBmWr74fIeOxsnJw1n+IRg1WCkTDBFTAEg7tgWH9y+hb7e8Tn+vMWPGMGbMGBzHYfny5SxcuJAHHniACy+8kJtvvhmA8ePHt3rOhAkTmD17dqvb+vfvn/w5NzeX8vLy5H+HmncOjUQirFq1iqamJq688krsvRYJi8ViRCIRGhsbCYfDKT9OkbZQCEhj1qDB+Eq7EX/3HWhscLscT7AC2kEw3QT9NhMGd6M4N9ip77N161buuusuLr74Ynr16oVt24wcOZKRI0cybdo0Tj755P0+1xiD/3OLewUCrXcGtfezCqhpDvFz5syhoqLiC/cHg5173CJfRnMC0phlWVBYhG/q8VhlmjCYEoEATboyIG0U5ASYOqInRbmdvxFQMBjk8ccf3+eEvMLCxBBEWVkZAO+++26r+5csWcKQIUPa9b4VFRX4/X42b97MgAEDkn8WLlzIvHnz9hseRLqCegLSnGXbGMvCN+EonFUrcVYu0/BAR/j8RJrUE5AO+nfLY1S/YrDokq2AS0tLueCCC7jtttuoq6tj+vTp5Ofns2rVKv74xz8yadIkjjjiCI477jhuvPFGLMtiwIABvPDCCyxYsIA5c+a0630LCgo4++yzue2228jPz2fcuHG88847zJo1i4svvji1BylykBQCMkDLGZI1eCi+bt2Iv7sImhpdriozJXYQjLhdRlbz2xaH9S+hT2kuxpguXQb4Zz/7GQMHDuSxxx7jwQcfpLGxkd69e/P1r3892SDPnj2b2bNnc+2111JdXc2wYcO44447OOGEE9r9vtdccw0lJSXcdtttbN++nfLyci677DIuuOCCVB2aSLtYxui0MpMYx4FYDGfpYszO7W6Xk3Hs6aeybmc9yzZVHfjBknKFOQGOqOhGTtCnPQBE0oAGozKMZdsQCGBPPAp72CFul5N5LFsLBblkYI88powoI6wAIJI2NByQgZJfoEOGY5d2w1m6GJqa3C0qQ1iW9g3oagGfzeEDiikv7vrufxH5cuoJyGCWZWGVdEtcPdCth9vlpL9wYhtarRbYdXoVhznu0J70LEqs1KgAIJJe1BOQ4SzbxvgD+CZPwfl0A87HH0BEE9/2KTexEI2GAzpf0G8zqm8xvV2Y/CcibacQ4AFW83XGVu+++HqV43z8IWbDOneLSkfJHQQVAjpTeXEOh/Uvwe9rvqpFAUAkbSkEeEhyTYHDxmL6DST+wVKo1iz4FlZOYmlWzQnoHEG/zWH9iikv0dm/SKZQCPCY5BdvYRG+Kcdh1q7GWfkxxGPuFpYGrFAiBGjZ4NQb0D2PEX2K8Nk6+xfJJAoBHtUyRMCgwfj69MX58N+YrZvdLcptoTCOY4g7WhojVUrzg4zqV0JhTkBn/yIZSCHA4yzLwgRD+MZPwtm+FefDf0NDvdtlucIKBjUpMEXCAR+H9CmiT2kuTvN6YwoAIplHISALJJcd7l6G79hpOCuXY9Z8kn17EASCmg/QQbYFFT0LGNqrkJY2vyvW/ReRzqEQkEVahgjs4SNhwKBEGNi0IXvCgN+vnoB2soA+pbkM711IOKAV/0S8QiEgC1mWhQnn4Bs9DjPsEJxPmsOA4+0G0vj8RJq0jfDB6l2Sw/DeReSF/Br3F/EYhYAslfwiD4exDxsDww7BWbUcs3G9d8OAz0ckHnW7iozRsyjMiN5FFDRP+gON+4t4jUJAlmv5UjehEPaho2HoITirViQWG3I8dtZs2VooqA16FIYZ0buQotygJv2JeJxCgAB7hYFgEHvkYTB0BM7qFZj1ayHukTBgW5oYuB+2Bb1Lchncs4CCnECy8dekPxFvUwiQVpJhIBDAHjEKhgzHWf0JZt2azF5wyLaxLUsLBX1OwGczoEceg3rkEwr4kt3+avxFsoNCgOxTsvs3EExcTTB4GGbjOpyN66G2xt3i2qN53wD1BCTkhfwMKsunX7c8bGuvy0jV+ItkFYUAOSDLsiAQgIGD8VcMxVRV4mxch9n8KUQzZKJdXvMOglkcAiygZ3GY/t3y6FEYxqAzfpFspxAgbZZciriwKDGJcOThmK2bMZ+ux+zY7m5xBxJu3kEwC4cD8kJ++nXLpX/3PIJ+H07zZX5q/kVEIUAOWrLL2LKgV2/s3n0xTY2YjetxPt0AdbXuFrgPVk4OkD09AQGfRXlJLv275VGcl5jl33LWr7N/EWmhECAd0tI7YIXCUDEU/5DhmD27E8MFWzZBLD0mE1rBEICnLxEM+Gx6FYcpL86he2G41Zm+Gn4R2ReFAEmZ5HBBcQl2cQkcOhqzY1vzn+3ublwUChGLO3htgeRwwKZXcQ7lxbmU5gcBNNYvIm2mECAplxwu8PmgrBdWz/LEUsX19ZgdWzE7tmN27ejSXgIrGPTMfICi3ADdCxJn/MV5wS+s5qfmX0TaSiFAOlWydwCwcnOh30DsARWJhqtyD2bHNpyd26FyT+duZOQPZOxQQF7IT/eCED0Kw3QvCOH32cmGH3RZn4i0n0KAdKnkHALLwhSXYBUV4x92CCYWw+zcnugl2Lkd6utS+8b+AE3R9A8BFlCQE6AoN0C3/ETD37KIz97d/Gr4RSQVFALENZZl0bIpveX3tx46iMWgthpTXYWpqYaa6sTfkUi73sv4fEQa0mOS4t7yw36Kc4MU5QYpyQtSmBPAtq19Nvpq9kUk1RQCJG20Gjrw+6G4FAqLEw1gy3LG0QimuhpqEuEgERBqIHaARYtsH9FY+wJER/lsi7yQn/ywn7xQ4k9BToD8cABfS4NvwLY/a+bV6ItIV1AIkLS2dzAAsAJBKO0GJaWtw0FTYyIcNNZDUxOmqQmaGiHS/LNtEemEiYFBv03IbxMK+BJ/Wn722+Q2N/xBvy/5+H1tzJM4jpSXJiJyQJYxnTkbS6TrGGM+m1y4V0AAcByDbVvE4g6xuCEad4g7BmMMjkk0zk7zGXnLbbaVODv32zY+22r1J3G79YWxeceYxDV6li7TE5H0pxAgspfP/3PQBDwR8TINB4jsRY2+iGQT+8APERERES9SCBAREclSCgEiIiJZSiFAREQkSykEiIiIZCmFABERkSylECAiIpKlFAJERESylEKAiIhIllIIEBERyVIKASIiIllKIUBERCRLKQSIiIhkKYUAERGRLKUQICIikqUUAkRERLKUQoCIiEiWUggQERHJUgoBIiIiWUohQEREJEspBIiIiGQphQAREZEspRAgIiKSpRQCREREspRCgIiISJZSCBAREclSCgEiIiJZSiFAREQkSykEiIiIZCmFABERkSylECAiIpKlFAJERESylEKAiIhIllIIEBERyVIKASIiIllKIUBERCRLKQSIiIhkKYUAERGRLKUQICIikqUUAkRERLKUQoCIiEiWUggQERHJUgoBIiIiWUohQEREJEspBIiIiGSp/x8vWTSQvifxeQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for programming\n",
      "No      7\n",
      "Yes     5\n",
      "Some    4\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Experience using ChatGPT for programming\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Experience using ChatGPT for programming\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Experience using ChatGPT for programming\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Experience using ChatGPT for programming\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for programming\n",
      "Yes     26\n",
      "No      17\n",
      "Some    16\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Experience using ChatGPT for programming\"].value_counts())\n",
    "pie_chart(data=df, column=\"Experience using ChatGPT for programming\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of participants who have previously used ChatGPT for data analytics project development."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for data analytics\n",
      "Yes     18\n",
      "Some    15\n",
      "No      10\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for data analytics\n",
      "No      12\n",
      "Some     3\n",
      "Yes      1\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Experience using ChatGPT for data analytics\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Experience using ChatGPT for data analytics\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Experience using ChatGPT for data analytics\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Experience using ChatGPT for data analytics\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using ChatGPT for data analytics\n",
      "No      22\n",
      "Yes     19\n",
      "Some    18\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Experience using ChatGPT for data analytics\"].value_counts())\n",
    "pie_chart(data=df, column=\"Experience using ChatGPT for data analytics\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of participants who have previously used APIs from any LLM provider, such as OpenAI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using generative APIs\n",
      "Yes     23\n",
      "Some    10\n",
      "No      10\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using generative APIs\n",
      "No      7\n",
      "Some    5\n",
      "Yes     4\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df[df[\"Current role\"] == \"Student\"][\"Experience using generative APIs\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Student\"], column=\"Experience using generative APIs\", colors=colors, title=False, subpath=\"Students\", article_image=True)\n",
    "print(df[df[\"Current role\"] == \"Professional\"][\"Experience using generative APIs\"].value_counts())\n",
    "pie_chart(data=df[df[\"Current role\"] == \"Professional\"], column=\"Experience using generative APIs\", colors=colors, title=False, subpath=\"Professionals\", article_image=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experience using generative APIs\n",
      "Yes     27\n",
      "No      17\n",
      "Some    15\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Experience using generative APIs\"].value_counts())\n",
    "pie_chart(data=df, column=\"Experience using generative APIs\", colors=colors, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lollipop charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def metrics_chart(df, column, column_colors, excluded, metrics, options, title=True, article_image=False):\n",
    "    \"\"\"\n",
    "    Generate a metrics chart based on the given data.\n",
    "\n",
    "    Parameters:\n",
    "    - df (pandas.DataFrame): The input dataframe containing the data.\n",
    "    - column (str): The column name in the dataframe to group the data by.\n",
    "    - column_colors (list): A list of colors for each unique value in the 'column' column.\n",
    "    - excluded (list): A list of values to exclude from the chart.\n",
    "    - metrics (list): A list of metrics to display on the chart.\n",
    "    - options (list): A list of options for each metric.\n",
    "    - title (bool, optional): Whether to display the title on the chart. Defaults to True.\n",
    "    - article_image (bool, optional): Whether to save the chart as an image for an article. Defaults to False.\n",
    "\n",
    "    Returns:\n",
    "    None\n",
    "    \"\"\"\n",
    "\n",
    "    # Create an empty dictionary to store the metrics data for each unique value in the 'column' column\n",
    "    df_metrics = {}\n",
    "\n",
    "    # Iterate over each unique value in the 'column' column\n",
    "    for value in df[column].unique():\n",
    "        # Filter the dataframe based on the current value\n",
    "        df_temp = df[df[column]==value].melt(value_vars=metrics, var_name=\"Metric\", value_name=\"Answer\").value_counts().reset_index().rename(columns={\"count\": \"People\"})\n",
    "        \n",
    "        # Check if any metrics or options are missing for the current value\n",
    "        for m in metrics:\n",
    "            for o in options:\n",
    "                if len(df_temp[(df_temp[\"Metric\"] == m) & (df_temp[\"Answer\"] == o)]) == 0:\n",
    "                    # Add missing metrics and options with 0 count\n",
    "                    df_temp = df_temp._append({\"Metric\": m, \"Answer\": o, \"People\": 0}, ignore_index=True)\n",
    "        \n",
    "        # Set the order of metrics and options for sorting\n",
    "        df_temp[\"Metric\"] = pd.Categorical(df_temp[\"Metric\"], ordered=True, categories=metrics)\n",
    "        df_temp[\"Answer\"] = pd.Categorical(df_temp[\"Answer\"], ordered=True, categories=options)\n",
    "        \n",
    "        # Sort the dataframe by metric and answer\n",
    "        df_temp = df_temp.sort_values(by=[\"Metric\", \"Answer\"], ascending=False)\n",
    "        \n",
    "        # Store the metrics data for the current value in the dictionary\n",
    "        df_metrics[value] = df_temp\n",
    "\n",
    "    # Define the colors for each metric\n",
    "    colors = {val: sns.color_palette(\"Set2\").as_hex()[pos] for pos, val in enumerate(df_metrics[df[column][0]][\"Metric\"].unique())}\n",
    "\n",
    "    # Create the figure and set the size\n",
    "    fig = plt.figure(figsize=(14, 10))\n",
    "\n",
    "    # Define the range for the y-axis\n",
    "    plt_range = range(1, len(df_metrics[df[column][0]]) + 1)\n",
    "\n",
    "    # Plot the horizontal lines for each metric\n",
    "    plt.hlines(y=plt_range, xmin=df_metrics[df[column].unique()[0]][\"People\"], xmax=df_metrics[df[column].unique()[1]][\"People\"], color=df_metrics[df[column][0]][\"Metric\"].apply(lambda x: colors[x]), linewidth=3)\n",
    "\n",
    "    # Plot the horizontal lines to separate the metrics\n",
    "    for i in range(1, len(metrics)):\n",
    "        plt.axhline(y=i * len(metrics) + 0.5, color='black', linestyle='--', alpha=0.3, linewidth=3)\n",
    "\n",
    "    # Plot the scatter points for each value in the 'column' column\n",
    "    for pos, val in enumerate(df[column].unique()):\n",
    "        if val not in excluded:\n",
    "            plt.scatter(df_metrics[val][\"People\"], plt_range, label=val, color=column_colors[pos], zorder=3)\n",
    "\n",
    "    # Define the y-axis labels based on the answer values in the dataframe\n",
    "    yticks = {'Traditional method': 'Approach 1', 'ChatGPT as an external assistant': 'Approach 2', 'LIDA with GPT integration': 'Approach 3', 'None':'None'}\n",
    "    new_yticks = [yticks[answer] for answer in df_metrics[df[column].unique()[0]][\"Answer\"] ]\n",
    "\n",
    "    # Set the y-axis labels\n",
    "    plt.yticks(plt_range, new_yticks)\n",
    "    plt.rc('xtick', labelsize=15)\n",
    "    plt.rc('ytick', labelsize=15)\n",
    "    \n",
    "    # Set the x-axis label\n",
    "    plt.xlabel(\"Number of participants\")\n",
    "    \n",
    "    # Create legend lines for each metric\n",
    "    lines = [Line2D([0], [0], color=colors[x], label = x, linewidth=3) for x in metrics]\n",
    "    handles, labels = plt.gca().get_legend_handles_labels()\n",
    "    \n",
    "    # Add the legend to the plot\n",
    "    plt.legend(lines + handles, metrics + labels, ncol=1, bbox_to_anchor=(1.01, 0.5), loc=\"center left\", frameon=False, fontsize=15)\n",
    "    \n",
    "    # Adjust the layout and display the plot\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    \n",
    "    # Save the plot as an image if article_image is True\n",
    "    path = \"Lollipop\" if not article_image else \"Journal\"\n",
    "    fig.savefig(f\"images/{path}/Lollipop - Metrics evaluation by {column.lower()}.eps\", bbox_inches='tight', dpi=300, format='eps')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "metrics = [\"Ease of use\", \"Speed of result\", \"Appropriateness\", \"Correctness\"]\n",
    "options = [\"Traditional method\", \"ChatGPT as an external assistant\", \"LIDA with GPT integration\", \"None\"]\n",
    "column_colors = [\"#e31b33\", \"#1ba4e3\"]\n",
    "\n",
    "metrics_chart(df, \"Gender\", column_colors, [\"I prefer not to tell\"], metrics, options, title=False, article_image=True)\n",
    "\n",
    "metrics_chart(df, \"Current role\", column_colors, [], metrics, options, title=False, article_image=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stacked plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to finish activities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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 th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Current role</th>\n",
       "      <th>Time required to finish activity 1</th>\n",
       "      <th>Time required to finish activity 2</th>\n",
       "      <th>Time required to finish activity 3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Professional</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Professional</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>More than 30 minutes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Professional</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "      <td>15 to 30 minutes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Professional</td>\n",
       "      <td>5 to 10 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "      <td>10 to 15 minutes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Professional</td>\n",
       "      <td>5 to 10 minutes</td>\n",
       "      <td>Less than 5 minutes</td>\n",
       "      <td>Less than 5 minutes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Current role Time required to finish activity 1  \\\n",
       "0  Professional                   10 to 15 minutes   \n",
       "1  Professional                   15 to 30 minutes   \n",
       "2  Professional                   15 to 30 minutes   \n",
       "3  Professional                    5 to 10 minutes   \n",
       "4  Professional                    5 to 10 minutes   \n",
       "\n",
       "  Time required to finish activity 2 Time required to finish activity 3  \n",
       "0                   15 to 30 minutes                   15 to 30 minutes  \n",
       "1                   10 to 15 minutes               More than 30 minutes  \n",
       "2                   15 to 30 minutes                   15 to 30 minutes  \n",
       "3                   10 to 15 minutes                   10 to 15 minutes  \n",
       "4                Less than 5 minutes                Less than 5 minutes  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering the data for the time required to finish each activity\n",
    "\n",
    "df_time = df[['Current role', 'Time required to finish activity 1', 'Time required to finish activity 2', 'Time required to finish activity 3']]\n",
    "df_time.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Grouping the data by the current role and the time required to finish each activity\n",
    "# The values are normalized to show the percentage of each category\n",
    "\n",
    "df_time_1 = df_time[['Current role', 'Time required to finish activity 1']].groupby(['Current role']).value_counts(normalize=True).reset_index(name='Count 1')\n",
    "df_time_2 = df_time[['Current role', 'Time required to finish activity 2']].groupby(['Current role']).value_counts(normalize=True).reset_index(name='Count 2')\n",
    "df_time_3 = df_time[['Current role', 'Time required to finish activity 3']].groupby(['Current role']).value_counts(normalize=True).reset_index(name='Count 3')\n",
    "\n",
    "# Multiplying the values by 100 to get the percentage\n",
    "\n",
    "df_time_1['Count 1'] = df_time_1['Count 1'] * 100\n",
    "df_time_2['Count 2'] = df_time_2['Count 2'] * 100\n",
    "df_time_3['Count 3'] = df_time_3['Count 3'] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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 th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Time required to finish activity 1</th>\n",
       "      <th>Current role</th>\n",
       "      <th>Less than 5 minutes</th>\n",
       "      <th>5 to 10 minutes</th>\n",
       "      <th>10 to 15 minutes</th>\n",
       "      <th>15 to 30 minutes</th>\n",
       "      <th>More than 30 minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Professional by using traditional approach</td>\n",
       "      <td>0</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>18.750000</td>\n",
       "      <td>6.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Student by using traditional approach</td>\n",
       "      <td>0</td>\n",
       "      <td>6.976744</td>\n",
       "      <td>20.930233</td>\n",
       "      <td>51.162791</td>\n",
       "      <td>20.930233</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Time required to finish activity 1                                Current role  \\\n",
       "0                                   Professional by using traditional approach   \n",
       "1                                        Student by using traditional approach   \n",
       "\n",
       "Time required to finish activity 1  Less than 5 minutes  5 to 10 minutes  \\\n",
       "0                                                     0        37.500000   \n",
       "1                                                     0         6.976744   \n",
       "\n",
       "Time required to finish activity 1  10 to 15 minutes  15 to 30 minutes  \\\n",
       "0                                          37.500000         18.750000   \n",
       "1                                          20.930233         51.162791   \n",
       "\n",
       "Time required to finish activity 1  More than 30 minutes  \n",
       "0                                               6.250000  \n",
       "1                                              20.930233  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Time required to finish activity 2</th>\n",
       "      <th>Current role</th>\n",
       "      <th>Less than 5 minutes</th>\n",
       "      <th>5 to 10 minutes</th>\n",
       "      <th>10 to 15 minutes</th>\n",
       "      <th>15 to 30 minutes</th>\n",
       "      <th>More than 30 minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Professional by using ChatGPT</td>\n",
       "      <td>18.750000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>18.750000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Student by using ChatGPT</td>\n",
       "      <td>9.302326</td>\n",
       "      <td>23.255814</td>\n",
       "      <td>39.534884</td>\n",
       "      <td>25.581395</td>\n",
       "      <td>2.325581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Time required to finish activity 2                   Current role  \\\n",
       "0                                   Professional by using ChatGPT   \n",
       "1                                        Student by using ChatGPT   \n",
       "\n",
       "Time required to finish activity 2  Less than 5 minutes  5 to 10 minutes  \\\n",
       "0                                             18.750000        25.000000   \n",
       "1                                              9.302326        23.255814   \n",
       "\n",
       "Time required to finish activity 2  10 to 15 minutes  15 to 30 minutes  \\\n",
       "0                                          37.500000         18.750000   \n",
       "1                                          39.534884         25.581395   \n",
       "\n",
       "Time required to finish activity 2  More than 30 minutes  \n",
       "0                                                    NaN  \n",
       "1                                               2.325581  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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 th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Time required to finish activity 3</th>\n",
       "      <th>Current role</th>\n",
       "      <th>Less than 5 minutes</th>\n",
       "      <th>5 to 10 minutes</th>\n",
       "      <th>10 to 15 minutes</th>\n",
       "      <th>15 to 30 minutes</th>\n",
       "      <th>More than 30 minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Professional by using LIDA+GPT</td>\n",
       "      <td>6.250000</td>\n",
       "      <td>31.250000</td>\n",
       "      <td>18.75000</td>\n",
       "      <td>31.25000</td>\n",
       "      <td>12.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Student by using LIDA+GPT</td>\n",
       "      <td>4.651163</td>\n",
       "      <td>9.302326</td>\n",
       "      <td>32.55814</td>\n",
       "      <td>32.55814</td>\n",
       "      <td>20.930233</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Time required to finish activity 3                    Current role  \\\n",
       "0                                   Professional by using LIDA+GPT   \n",
       "1                                        Student by using LIDA+GPT   \n",
       "\n",
       "Time required to finish activity 3  Less than 5 minutes  5 to 10 minutes  \\\n",
       "0                                              6.250000        31.250000   \n",
       "1                                              4.651163         9.302326   \n",
       "\n",
       "Time required to finish activity 3  10 to 15 minutes  15 to 30 minutes  \\\n",
       "0                                           18.75000          31.25000   \n",
       "1                                           32.55814          32.55814   \n",
       "\n",
       "Time required to finish activity 3  More than 30 minutes  \n",
       "0                                              12.500000  \n",
       "1                                              20.930233  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pivoting the data to create a table with the percentage of each category for each current role\n",
    "# The columns are the time required to finish each activity, and the rows are the current roles. The values are the percentage of each category\n",
    "\n",
    "df_time_1_pt = df_time_1.pivot_table(index='Current role', columns='Time required to finish activity 1', values='Count 1').reset_index()\n",
    "df_time_2_pt = df_time_2.pivot_table(index='Current role', columns='Time required to finish activity 2', values='Count 2').reset_index()\n",
    "df_time_3_pt = df_time_3.pivot_table(index='Current role', columns='Time required to finish activity 3', values='Count 3').reset_index()\n",
    "\n",
    "# The 'Less than 5 minutes' category is added to the first activity, as it was not present in the original data\n",
    "\n",
    "df_time_1_pt['Less than 5 minutes'] = 0\n",
    "\n",
    "# Reordering the columns\n",
    "\n",
    "df_time_1_pt = df_time_1_pt[['Current role','Less than 5 minutes','5 to 10 minutes', '10 to 15 minutes','15 to 30 minutes', 'More than 30 minutes']]\n",
    "df_time_2_pt = df_time_2_pt[['Current role','Less than 5 minutes','5 to 10 minutes', '10 to 15 minutes','15 to 30 minutes', 'More than 30 minutes']]\n",
    "df_time_3_pt = df_time_3_pt[['Current role','Less than 5 minutes','5 to 10 minutes', '10 to 15 minutes','15 to 30 minutes', 'More than 30 minutes']]\n",
    "\n",
    "# Changing the current role names to include the method used to finish the activities\n",
    "\n",
    "df_time_1_pt['Current role'] = df_time_1_pt['Current role'].map(lambda x: str(x) + \" by using traditional approach\")\n",
    "df_time_2_pt['Current role'] = df_time_2_pt['Current role'].map(lambda x: str(x) + \" by using ChatGPT\")\n",
    "df_time_3_pt['Current role'] = df_time_3_pt['Current role'].map(lambda x: str(x) + \" by using LIDA+GPT\")\n",
    "\n",
    "display(df_time_1_pt)\n",
    "display(df_time_2_pt)\n",
    "display(df_time_3_pt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "# Concatenate the dataframes df_time_1_pt, df_time_2_pt, and df_time_3_pt into a single dataframe\n",
    "frames = [df_time_1_pt, df_time_2_pt, df_time_3_pt]\n",
    "df_concatenated = pd.concat(frames).set_index('Current role')\n",
    "\n",
    "# Create a figure and axis object\n",
    "plt.figure(figsize=(10,6))\n",
    "p = df_concatenated.plot(kind='barh', stacked=True)\n",
    "\n",
    "# Set the title, legend, and label for the plot\n",
    "plt.title(\"Time Required to Finish Activities\")\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "\n",
    "plt.ylabel(\"\")\n",
    "plt.xlabel('Percentage of Participants')\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n",
    "# Save the plot as an EPS file\n",
    "p.figure.savefig(\"images/Journal/Bar stacked - Time Required to Finish Activities.eps\", bbox_inches='tight', dpi=300, format='eps')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Programming experience "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "# Calculate the count of programming experience for each combination of Age range, Current role, and Gender\n",
    "programming_exp = df.query('Gender != \"I prefer not to tell\"').groupby(['Age range', 'Current role', 'Gender'])['Programming experience'].value_counts().fillna(0).reset_index()\n",
    "\n",
    "# Calculate the percentage of programming experience for each combination of Age range, Current role, and Gender\n",
    "programming_exp_percent = df.query('Gender != \"I prefer not to tell\"').groupby(['Age range', 'Current role', 'Gender'])['Programming experience'].value_counts(normalize=True).fillna(0).reset_index()\n",
    "\n",
    "# Display the count of programming experience\n",
    "# display(programming_exp)\n",
    "\n",
    "# Display the percentage of programming experience\n",
    "# display(programming_exp_percent)\n",
    "\n",
    "# Pivot the programming_exp dataframe to create a new dataframe with columns as Gender and Programming experience, and rows as Age range and Current role\n",
    "df_prog_exp_pivot = programming_exp.pivot_table(index=['Age range', 'Current role'], columns=['Gender', 'Programming experience'], values='count').fillna(0).astype(int)\n",
    "\n",
    "df_prog_exp_pivot.index = df_prog_exp_pivot.index.map(lambda x: f\"{x[0]}, {x[1]}\")\n",
    "                              \n",
    "# df_time_2_pt['Current role'] = df_time_2_pt['Current role'].map(lambda x: str(x) + \" by using ChatGPT\")\n",
    "# df_time_3_pt['Current role'] = df_time_3_pt['Current role'].map(lambda x: str(x) + \" by using LIDA+GPT\")\n",
    "\n",
    "# Plot a stacked bar chart for the programming experience by Age range\n",
    "p = df_prog_exp_pivot.plot(kind='barh', stacked=True)\n",
    "\n",
    "# Set the title and legend for the plot\n",
    "plt.title(\"Programming experience by Age range\")\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "\n",
    "# Set the labels for the plot\n",
    "plt.ylabel(\"\")\n",
    "plt.xticks(range(0, 22, 2))\n",
    "plt.xlabel('Number of participants')\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n",
    "# Save the plot as an EPS file\n",
    "p.figure.savefig(\"images/Journal/Bar stacked - Programming experience by age range.eps\", bbox_inches='tight', dpi=300, format='eps')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data analytics experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    }
   ],
   "source": [
    "data_analytics_exp = df.query('Gender != \"I prefer not to tell\"').groupby(['Age range', 'Current role', 'Gender'])['Data analytics experience'].value_counts().fillna(0).reset_index()\n",
    "data_analytics_exp_percent = df.query('Gender != \"I prefer not to tell\"').groupby(['Age range', 'Current role', 'Gender'])['Data analytics experience'].value_counts(normalize=True).fillna(0).reset_index()\n",
    "\n",
    "df_analytics_exp_pivot = data_analytics_exp.pivot_table(index=['Age range', 'Current role'], columns=['Gender', 'Data analytics experience'], values='count').fillna(0)\n",
    "\n",
    "df_analytics_exp_pivot.index = df_analytics_exp_pivot.index.map(lambda x: f\"{x[0]}, {x[1]}\")\n",
    "\n",
    "p = df_analytics_exp_pivot.plot(kind='barh', stacked=True)\n",
    "\n",
    "plt.title(\"Data analytics by Age range\")\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.ylabel(\"\")\n",
    "plt.xticks(range(0, 22, 2))\n",
    "plt.xlabel('Number of participants')\n",
    "plt.show()\n",
    "p.figure.savefig(\"images/Journal/Bar stacked - Time Required to Finish Activities-1.eps\", bbox_inches='tight', dpi=300, format='eps')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ai",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}