Synths_1896_2024_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0fe50cf5-a25a-4bf5-b834-696f41d29973",
   "metadata": {},
   "source": [
    "# Synthesizers 1896 - 2024: A Dataset and Exploratory Insights"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bc62fb6-e370-4a08-add0-91b602ccd92e",
   "metadata": {},
   "source": [
    "My main motivation for creating this dataset goes beyond a simple interest in electronic musical instruments. I have noticed that the availability of historical structured data on music technology and electronic music instruments is quite limited in well-known repositories like Kaggle and other popular sources. The set contains **hardware synthesizers, samplers, and drum machines**. It also includes some periphery like **synth controllers and sequencers**. However, it does not contain Eurorack, Buchla modules, FrackRack, 4U, etc., since I feel that these are subjects of their own and should be treated separately.\n",
    "I have spent many hours compiling this dataset through a combination of automated processes, manual efforts, and extensive research, and I hope to provide a useful resource for researchers, musicians, and enthusiasts who wish to explore trends, patterns, and the history of the synthesizer landscape.\n",
    "\n",
    "**This dataset is a work in progress**, and I aim to update it regularly with new releases and features.\n",
    "\n",
    "I would like to thank **Marcel Krol** of [synth-db.com](http://synth-db.com) for allowing me to use his valuable information as a foundation for the entries related to the earlier years (mid-2000s and earlier) of this dataset.\n",
    "\n",
    "In this notebook, I will conduct exploratory data analysis on the dataset to uncover insights and visualize key trends throughout the history of synthesizers. \n",
    "Through this exploration, I aim to contribute to a broader understanding of these instruments and their evolution over time.\n",
    "\n",
    "[Watch a walkthrough video of the notebook here](https://youtu.be/Omj405hkOt0)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0733abbf-fd27-40ac-ba30-62c21e800553",
   "metadata": {},
   "source": [
    "## The Attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8dc4892-93fc-490a-9d5c-0ede9addfc4a",
   "metadata": {},
   "source": [
    "- **Year**: The year the synthesizer was released.\n",
    "- **Brand**: The manufacturer or brand name of the synthesizer.\n",
    "- **Name**: The model name of the synthesizer.\n",
    "- **Device**: The type of device (e.g., synthesizer, sampler).\n",
    "- **Form Factor**: The form of the device, such as rack-mounted or keyboard.\n",
    "- **Architecture**: The design of the synthesizer, such as analog or digital.\n",
    "- **Synthesis**: The synthesis engine used (e.g., subtractive, FM).\n",
    "- **Synthesis Details**: Specific details about the synthesis engine.\n",
    "- **Polyphony**: The number of notes that can be played simultaneously.\n",
    "- **Oscillators**: The number of oscillators available in the synthesizer.\n",
    "- **Multitimbral**: Indicates if the synthesizer is Multitimbral.\n",
    "- **Keys**: The number of keys on the synthesizer.\n",
    "- **MIDI**:  Indicates if the synthesizer is MIDI capable.\n",
    "- **Memory**: Indicates if the synthesizer has memory.\n",
    "- **Key Type**: The type of keys (e.g., Keys, Pads).\n",
    "- **Velocity**: Indicates if the synthesizer responds to key velocity.\n",
    "- **Aftertouch**: Indicates the presence of aftertouch functionality.\n",
    "- **Produced**: The years during which the synthesizer was in production.\n",
    "- **Duration**: The length of time the synthesizer was produced.\n",
    "- **Fame**: A qualitative measure of the synthesizer's popularity or influence.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f3e4315-256b-47ca-b57b-ca995c718fed",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import necessary stuff\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from numpy.polynomial.polynomial import Polynomial\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "import squarify\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "73933346-8f4a-4d62-8da6-309d3ad80665",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('https://raw.githubusercontent.com/iftah-og/Synthesizers-1896-2024/refs/heads/main/synthesizers_1896_2024.csv', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8dcc74f7-b562-487b-8412-1892ac6b31ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2368, 20)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "49e12bc5-d2b1-4d5d-ae67-8a5aa93d87c1",
   "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Form Factor</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Synthesis</th>\n",
       "      <th>Synthesis Details</th>\n",
       "      <th>Polyphony</th>\n",
       "      <th>Oscillators</th>\n",
       "      <th>Multitimbral</th>\n",
       "      <th>Keys</th>\n",
       "      <th>MIDI</th>\n",
       "      <th>Memory</th>\n",
       "      <th>Key type</th>\n",
       "      <th>Velocity</th>\n",
       "      <th>Aftertouch</th>\n",
       "      <th>Produced</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Fame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1896</td>\n",
       "      <td>Thaddeus Cahill</td>\n",
       "      <td>Thaddeus Cahill - Telharmonium</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Keys</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Electromagnetic</td>\n",
       "      <td>84</td>\n",
       "      <td>408</td>\n",
       "      <td>0</td>\n",
       "      <td>153</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Keys</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1896 - 1914</td>\n",
       "      <td>18</td>\n",
       "      <td>0.182024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1905</td>\n",
       "      <td>Max Kohl AG</td>\n",
       "      <td>Max Kohl Ag - Helmholtz Sound Synthesiser</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Acoustic resonators</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Keys</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1905 - 1905</td>\n",
       "      <td>0</td>\n",
       "      <td>0.087696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1928</td>\n",
       "      <td>Lev Sergeyevich Termen</td>\n",
       "      <td>Lev Sergeyevich Termen - Theremin</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Analog</td>\n",
       "      <td>VCO</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1928 - 1928</td>\n",
       "      <td>0</td>\n",
       "      <td>0.111132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1928</td>\n",
       "      <td>Maurice Martenot</td>\n",
       "      <td>Maurice Martenot - Ondes Martenot</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Keys</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Analog</td>\n",
       "      <td>VCO</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>72 / 84</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Keys</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1928 - 1988</td>\n",
       "      <td>60</td>\n",
       "      <td>0.237428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1930</td>\n",
       "      <td>Friedrich Trautwein</td>\n",
       "      <td>Friedrich Trautwein - Trautonium</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Analog</td>\n",
       "      <td>Analog</td>\n",
       "      <td>VCO</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Wire</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1930 - 1935</td>\n",
       "      <td>5</td>\n",
       "      <td>0.132743</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year                   Brand                                       Name  \\\n",
       "0  1896         Thaddeus Cahill             Thaddeus Cahill - Telharmonium   \n",
       "1  1905             Max Kohl AG  Max Kohl Ag - Helmholtz Sound Synthesiser   \n",
       "2  1928  Lev Sergeyevich Termen          Lev Sergeyevich Termen - Theremin   \n",
       "3  1928        Maurice Martenot          Maurice Martenot - Ondes Martenot   \n",
       "4  1930     Friedrich Trautwein           Friedrich Trautwein - Trautonium   \n",
       "\n",
       "  Device Form Factor Architecture Synthesis    Synthesis Details  Polyphony  \\\n",
       "0  Synth        Keys       Analog    Analog      Electromagnetic         84   \n",
       "1  Synth     Desktop       Analog    Analog  Acoustic resonators         10   \n",
       "2  Synth     Desktop       Analog    Analog                  VCO          1   \n",
       "3  Synth        Keys       Analog    Analog                  VCO          1   \n",
       "4  Synth     Desktop       Analog    Analog                  VCO          1   \n",
       "\n",
       "   Oscillators  Multitimbral     Keys   MIDI Memory Key type  Velocity  \\\n",
       "0          408             0      153  False  False     Keys     False   \n",
       "1           10             0        0  False  False     Keys     False   \n",
       "2            3             1        0  False  False      NaN     False   \n",
       "3            1             0  72 / 84  False  False     Keys     False   \n",
       "4            1             0        0  False  False     Wire     False   \n",
       "\n",
       "  Aftertouch     Produced  Duration      Fame  \n",
       "0      False  1896 - 1914        18  0.182024  \n",
       "1      False  1905 - 1905         0  0.087696  \n",
       "2      False  1928 - 1928         0  0.111132  \n",
       "3      False  1928 - 1988        60  0.237428  \n",
       "4      False  1930 - 1935         5  0.132743  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8cebaec-c915-4b22-a69f-3e25ca3c9d49",
   "metadata": {},
   "source": [
    "# Releases over the years"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01917fc2-a858-4f1a-a642-28ee02ef9c68",
   "metadata": {},
   "source": [
    "As the KDE plot shows, there is little activity before the mid-1960s, which is expected. Afterward, we observe a notable increase in synthesizer releases, indicating clear trends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8056e45d-a650-475a-859a-1524ec0d5a95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of synths released before 1970: 45\n"
     ]
    }
   ],
   "source": [
    "print(f\"Amount of synths released before 1970: {df[df['Year'] < 1970].shape[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "888c7d06-252b-433f-9005-637289f10791",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 8))\n",
    "\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# background color\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  \n",
    "\n",
    "# Create plot\n",
    "sns.kdeplot(df['Year'], fill=True, color='purple', bw_adjust=0.5)\n",
    "\n",
    "plt.title('Density of Releases per Year', fontsize=16, pad=10)\n",
    "plt.xlabel('Year', fontsize=12)\n",
    "plt.ylabel('Density', fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91e4e401-3002-47c1-bc06-b1d9217751a6",
   "metadata": {},
   "source": [
    "# Releases Per Year from 1970 onwards"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05580037-f6d7-40c8-8286-5c5b52e5f84e",
   "metadata": {},
   "source": [
    "Next, lets zoom in, and limit the range to 1970 onwards, with decades color-coded to provide a clearer visual distinction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "3fb3c998-80f6-4c84-a512-e4f22bfc2d48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the DataFrame for relevant years\n",
    "df_filtered = df[df['Year'] >= 1970]\n",
    "\n",
    "# Count the occurrences of each year\n",
    "year_counts = df_filtered['Year'].value_counts().sort_index()\n",
    "\n",
    "# Define colors for each decade\n",
    "def get_color(year):\n",
    "    if year < 1980:\n",
    "        return '#ffd700'   \n",
    "    elif year < 1990:\n",
    "        return '#fca636'  \n",
    "    elif year < 2000:\n",
    "        return '#e16462'  \n",
    "    elif year < 2010:\n",
    "        return '#b12a90'  \n",
    "    elif year < 2020:\n",
    "        return '#6a00a8'  \n",
    "    else:\n",
    "        return '#3c4fdc'  \n",
    "\n",
    "# Get colors for the bars\n",
    "colors = [get_color(year) for year in year_counts.index]\n",
    "\n",
    "# Set font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Create the figure and axis\n",
    "plt.figure(figsize=(14, 8))\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  # Background color\n",
    "\n",
    "# Bar plot\n",
    "plt.grid(axis='y', zorder=0)  # Ensure grid is behind bars\n",
    "\n",
    "# Create the bar plot with black edges\n",
    "bars = plt.bar(year_counts.index, year_counts.values, color=colors, edgecolor='black', zorder=3)\n",
    "\n",
    "# Ticks every 5 years, including 2016 and 2017\n",
    "year_range = list(range(1970, year_counts.index.max() + 1, 5)) + [2016, 2017]\n",
    "year_range = sorted(set(year_range))  #unique ticks\n",
    "\n",
    "plt.xticks(ticks=year_range, labels=year_range, rotation=45)\n",
    "\n",
    "plt.title('Number of Releases per Year (1970 Onwards)', fontsize=16, pad=10)\n",
    "plt.xlabel('Year', fontsize=12)\n",
    "plt.ylabel('Releases', fontsize=12)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15036be4-c449-4478-8cdd-a2af886c3c93",
   "metadata": {},
   "source": [
    "### <span style=\"color:#ffd700\">1970s</span>: Early popularity driven by prog rock\n",
    "The 1970s saw synthesizers gain popularity as they became central to the evolving sounds of progressive rock and electronic experimentation.\n",
    "\n",
    "### <span style=\"color:#fca636\">1980s</span>: Synthpop’s golden age  \n",
    "In the 1980s, synthesizers became essential to pop music, defining the sound of the decade.\n",
    "\n",
    "### <span style=\"color:#e16462\">Early 1990s</span>: Decline due to the rise of guitar-driven music  \n",
    "As alternative rock and grunge dominated the 1990s, synthesizer use declined, with guitars taking center stage in popular music.\n",
    "\n",
    "### <span style=\"color:#e16462\">Late 1990s</span>: Revival alongside digital evolution  \n",
    "By the late 1990s, synthesizers experienced a revival, driven by advancements in digital technology and renewed interest in electronic music.\n",
    "\n",
    "### <span style=\"color:#b12a90\">Early 2000s</span>: Decline with the rise of software instruments  \n",
    "With the introduction of powerful software instruments, the demand for hardware synthesizers declined in the early 2000s as musicians increasingly turned to software production tools.\n",
    "\n",
    "### <span style=\"color:#6a00a8\">2010s</span>: Mainstream dominance of electronic music and the hardware synth boom  \n",
    "The 2010s marked a renewed interest in hardware synthesizers, driven by the mainstream rise of electronic music and a revival of analog gear among musicians, as everything became more affordable—what I refer to as the democratization of hardware synths\n",
    "\n",
    "### <span style=\"color:#0d0887\">2020s</span>: Impact of the pandemic and supply chain disruptions  \n",
    "The 2020s faced challenges with synthesizer production due to the global pandemic and significant supply chain disruptions, affecting availability and development.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "104fcf4f-fa22-4ba2-b644-9c6678d11750",
   "metadata": {},
   "source": [
    "# Counts by Architecture"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97a7dbba-54a8-43b1-b2c5-75505e4c4b23",
   "metadata": {},
   "source": [
    "The architecture categorizes hardware entries as Analog, Digital, Hybrid, or Miscellaneous. Notably, there are **approximately 35% more digital releases** compared to analog releases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "873cdcf7-3d6a-4b93-b51d-50c0c3a6b1dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "architecture_counts = df['Architecture'].value_counts()\n",
    "\n",
    "# Set font \n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Create a bar plot\n",
    "plt.figure(figsize=(8, 8))\n",
    "bars = plt.bar(architecture_counts.index, architecture_counts.values, color='orange', zorder=3, edgecolor='black')\n",
    "\n",
    "# Background color\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  \n",
    "\n",
    "# Add counts on top of each bar\n",
    "for bar in bars:\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, yval, int(yval), ha='center', va='bottom')\n",
    "\n",
    "plt.title('Count of Synthesizers by Architecture', fontsize=16, pad=10)\n",
    "plt.xlabel('Architecture Type', fontsize=12)\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.grid(axis='y')  \n",
    "plt.xticks(rotation=45, fontsize=12)\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4cde773-c725-4e52-a4c0-72ede79cbd67",
   "metadata": {},
   "source": [
    "# Digital vs Analog"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55cfde61-467e-4248-ad68-6dbc792e3efe",
   "metadata": {},
   "source": [
    "Now, let's examine the trend of analog versus digital synthesizer releases over time. Until the mid-1980s, analog synthesizers dominated the market, simply because digital synthesizers were not yet available. From the mid-1980s to the mid-2000s, digital synthesizers took the lead. 1993 is a notable year in which, to my knowledge, no analog synthesizers were released (more on that later). This shift marked a significant change in the landscape of music technology.\n",
    "\n",
    "However, starting in the 2010s, analog synthesizers made a notable comeback, resulting in a more equal distribution of releases between digital and analog synthesizers from the mid-2010s onward. The majority of digital synthesizer releases in the 1990s and early 2000s were driven by advancements in technology and cost-effectiveness. In more recent years, the renewed appeal of analog sound and the ability to combine digital and analog technologies have led to a more balanced output of both types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8eac25e7-52bf-42af-869f-b49d4decbb83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter \n",
    "df_filtered = df[(df['Year'] >= 1960) & (df['Architecture'].isin(['Digital', 'Analog']))]\n",
    "\n",
    "# Group and count\n",
    "architecture_counts = df_filtered.groupby(['Year', 'Architecture']).size().reset_index(name='Count')\n",
    "\n",
    "# Set style and plot\n",
    "sns.set(style=\"ticks\")\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Background color\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  \n",
    "\n",
    "#colors\n",
    "plasma = plt.get_cmap('plasma')\n",
    "color1 = plasma(0.2)  \n",
    "color2 = plasma(0.8)  \n",
    "\n",
    "# Plot each architecture\n",
    "for idx, architecture in enumerate(architecture_counts['Architecture'].unique()):\n",
    "    subset = architecture_counts[architecture_counts['Architecture'] == architecture]\n",
    "    \n",
    "    if idx % 2 == 0:\n",
    "        color = color1\n",
    "    else:\n",
    "        color = color2\n",
    "    \n",
    "    # Fill the area under the count for each architecture\n",
    "    plt.fill_between(subset['Year'], subset['Count'], color=color, alpha=0.7, label=architecture)\n",
    "\n",
    "# Titles and display\n",
    "plt.title('Count of Synthesizer Architecture Types Over Time (Digital & Analog)', fontsize=16, pad=10)\n",
    "plt.xlabel('Year', fontsize=12)\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.legend(title='Architecture')\n",
    "plt.xticks(rotation=45, fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "# Show the plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8022a096-5175-4a1e-b657-06562cbf3c3b",
   "metadata": {},
   "source": [
    "### Between 1990 and 2005, 86% of synthesizers released were digital, while only 14% were analog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "f9317740-7f96-4d94-ba43-cba86016bbea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13.67% Analog synths\n",
      "86.33% Digital synths\n"
     ]
    }
   ],
   "source": [
    "# Filter and count architecture types\n",
    "counts = df[(df['Year'] >= 1990) & (df['Year'] <= 2005)]['Architecture'].value_counts()\n",
    "\n",
    "# Get digital and analog counts\n",
    "digital_count, analog_count = counts.get('Digital', 0), counts.get('Analog', 0)\n",
    "total_count = digital_count + analog_count\n",
    "\n",
    "# Calculate percentages\n",
    "digital_percentage = (digital_count / total_count * 100) if total_count > 0 else 0\n",
    "analog_percentage = (analog_count / total_count * 100) if total_count > 0 else 0\n",
    "\n",
    "print(f\"{analog_percentage:.2f}% Analog synths\")\n",
    "print(f\"{digital_percentage:.2f}% Digital synths\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5eb00a8f-2619-4757-b7d7-c5dc0d9f280a",
   "metadata": {},
   "source": [
    "### The earliest digital synth on the dataset \n",
    "The earliest digital synth on the list is the **[Coupland Digital Synthesizer](https://en.wikipedia.org/wiki/Coupland_Digital_Music_Synthesizer)** by Micor, although it’s worth noting that it was never officially released. To my knowledge, the first commercially available digital synth was the **[Synclavier](https://en.wikipedia.org/wiki/Synclavier)**, which debuted in 1977"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c4ed26d1-97e2-4fe5-b729-255e75277c95",
   "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>Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Architecture</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Micor - Coupland Digital Synthesizer</td>\n",
       "      <td>1973</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Fairlight Cmi - Qasar M8 Cmi</td>\n",
       "      <td>1975</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Con Brio - Ads 100</td>\n",
       "      <td>1975</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>Ppg - Wavecomputer 340-380</td>\n",
       "      <td>1977</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>Ppg - Wavecomputer 360A (B)</td>\n",
       "      <td>1977</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Cemamu - Upic</td>\n",
       "      <td>1977</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>New England Digital - Synclavier</td>\n",
       "      <td>1977</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Kinetic Systems - Prism</td>\n",
       "      <td>1979</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>E-Mu - Audity</td>\n",
       "      <td>1979</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>Fairlight Cmi - Fairlight I</td>\n",
       "      <td>1979</td>\n",
       "      <td>Digital</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Name  Year Architecture\n",
       "98   Micor - Coupland Digital Synthesizer  1973      Digital\n",
       "177          Fairlight Cmi - Qasar M8 Cmi  1975      Digital\n",
       "178                    Con Brio - Ads 100  1975      Digital\n",
       "213            Ppg - Wavecomputer 340-380  1977      Digital\n",
       "217           Ppg - Wavecomputer 360A (B)  1977      Digital\n",
       "239                         Cemamu - Upic  1977      Digital\n",
       "251      New England Digital - Synclavier  1977      Digital\n",
       "314               Kinetic Systems - Prism  1979      Digital\n",
       "327                         E-Mu - Audity  1979      Digital\n",
       "342           Fairlight Cmi - Fairlight I  1979      Digital"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the DataFrame for synths with Architecture = 'Digital' prior to 1980\n",
    "digital_synths_before_1980 = df[(df['Year'] < 1980) & (df['Architecture'] == 'Digital')]\n",
    "\n",
    "# Display the DataFrame\n",
    "digital_synths_before_1980[['Name', 'Year', 'Architecture']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6c28a88-0a1a-4597-a948-d35e25fb5661",
   "metadata": {},
   "source": [
    "# Duration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f65fda9a-96f7-4d1c-bb6e-0a36bd119191",
   "metadata": {},
   "source": [
    "Next, let’s look at duration by filtering the DataFrame to show the five largest duration values. Heading the list with a baffling production run of 60 years is the **[Ondes Martenot](https://en.wikipedia.org/wiki/Ondes_Martenot)**, an early electronic musical instrument. \n",
    "It is played with a keyboard or by moving a ring along a wire, creating \"wavering\" sounds similar to a theremin.\n",
    "To be fair, only 60 units were made, but this instrument has made its way into many movie soundtracks and even recent big stages, such as those featuring Johnny Greenwood of Radiohead.\n",
    "\n",
    "However, as exotic as the Ondes Martenot might be, I find the next instrument on the list to be quite surprising: the **[Alesis SR16](https://www.muzines.co.uk/articles/alesis-sr16/7337)**  drum machine. First released in 1990, it is still being produced today. To my knowledge, it is the oldest widely commercially available instrument that you can still buy new. According to my readings online, Alesis even claims it is one of the best-selling drum machines, which makes sense given its extensive production run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "684ed5c5-2f51-45c9-b65b-eae62518c4ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_5_entries = df.nlargest(5, 'Duration')\n",
    "\n",
    "# Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Bar plot\n",
    "plt.figure(figsize=(8, 8))\n",
    "\n",
    "# Set the background color to light gray\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  # Light gray background\n",
    "\n",
    "bars = plt.bar(top_5_entries['Name'], top_5_entries['Duration'], color='lightgreen', zorder=3, edgecolor='black')\n",
    "\n",
    "# Add 'Produced' values \n",
    "offset = 1 \n",
    "for bar, produced in zip(bars, top_5_entries['Produced']):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, yval - offset, \n",
    "             f\"{produced}\", ha='center', va='top', rotation=0, fontsize=10)\n",
    "\n",
    "# Set the grid behind the bars\n",
    "plt.grid(axis='y', zorder=0)  # Set grid to be in the background\n",
    "plt.title('Top 5 Entries with the Highest Duration', fontsize=16, pad=10)\n",
    "plt.ylabel('Duration', fontsize=12)\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "plt.tight_layout(pad=2.0)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5e77b94-79af-4768-ac96-6966043b2e09",
   "metadata": {},
   "source": [
    "#### Looking into the count of synthesizers still in production, the dataset contains 463 entries."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a40dbfab-d953-4fc8-976f-c91b75c9766c",
   "metadata": {},
   "source": [
    "Among the synthesizers still in production, we can see the eternal **[MicroKorg](https://en.wikipedia.org/wiki/MicroKORG)**, which has been around for 22 years, the **[Blofeld](https://en.wikipedia.org/wiki/Waldorf_Blofeld)** since 17 years and the **[Vermona Perfourmer MKII](https://www.vermona.com/produkte/synthesizer/produkt/perfourmer-mkii/)**, with a production run of 14 years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b770fa21-b9c1-4c16-8379-06ee7a40d832",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(460, 20)\n"
     ]
    },
    {
     "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Produced</th>\n",
       "      <th>Duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>1990</td>\n",
       "      <td>Alesis</td>\n",
       "      <td>Alesis - Sr16</td>\n",
       "      <td>Drum</td>\n",
       "      <td>Digital</td>\n",
       "      <td>1990 - Present</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>2002</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - Microkorg</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>2002 - Present</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>2007</td>\n",
       "      <td>Waldorf</td>\n",
       "      <td>Waldorf - Blofeld</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>2007 - Present</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>2011</td>\n",
       "      <td>Vermona</td>\n",
       "      <td>Vermona Perfourmer Mkii</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>2011 - Present</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1658</th>\n",
       "      <td>2012</td>\n",
       "      <td>Ferrofish</td>\n",
       "      <td>Ferrofish B4000</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>2012 - Present</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Year      Brand                     Name Device Architecture  \\\n",
       "850   1990     Alesis            Alesis - Sr16   Drum      Digital   \n",
       "1290  2002       Korg         Korg - Microkorg  Synth      Digital   \n",
       "1456  2007    Waldorf        Waldorf - Blofeld  Synth      Digital   \n",
       "1622  2011    Vermona  Vermona Perfourmer Mkii  Synth       Analog   \n",
       "1658  2012  Ferrofish          Ferrofish B4000  Synth      Digital   \n",
       "\n",
       "            Produced  Duration  \n",
       "850   1990 - Present        35  \n",
       "1290  2002 - Present        22  \n",
       "1456  2007 - Present        17  \n",
       "1622  2011 - Present        14  \n",
       "1658  2012 - Present        13  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_present = df[df['Produced'].str.endswith('Present', na=False)]\n",
    "print(df_present.shape)\n",
    "df_present[['Year', 'Brand', 'Name', 'Device', 'Architecture', 'Produced', 'Duration']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a01e88e-f147-4356-b59b-a7b03c4e2702",
   "metadata": {},
   "source": [
    "## Duration over the years"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0815c4f-3e63-4ac9-92d3-7de08f551f5b",
   "metadata": {},
   "source": [
    "Additionally, I wanted to explore the average production years of synths over time. In this code snippet, I filtered the DataFrame to focus on synths made between 1970 and 2010, allowing me to calculate the average duration for each year. To enhance the accuracy of my analysis, I employed time-weighting. This approach involved calculating the average duration based on the age of each synthesizer, effectively giving more weight to synths that have been around longer. The rationale behind this method is that older synthesizers are likely to have longer shelf lives compared to newer models, which haven't been on the market long enough to accurately reflect their true longevity. \n",
    "\n",
    "I opted for polynomial regression because I noticed that the relationship between the production years of synths and their average duration isn’t linear. A second-degree polynomial model helps capture these trends over time by accounting for the fluctuations and variations in duration, providing a more nuanced fit to the data.\n",
    "\n",
    "I used this model to predict the average duration for 2020 to check if the model was performing as expected. As shown in the graph below, the prediction is fairly accurate. Based on this analysis, I made the prediction that the average shelf life of a synth in 2027 would be 6 years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "95a29e1f-63ab-40a2-8311-db2c2d1d77c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Time-Weighted Average Duration for 2020: 5.16\n",
      "Mean Absolute Error (MAE): 0.72\n",
      "Mean Squared Error (MSE): 0.82\n",
      "Root Mean Squared Error (RMSE): 0.90\n"
     ]
    }
   ],
   "source": [
    "current_year = 2024  \n",
    "\n",
    "# Filter the DataFrame for years between 1970 and 2010\n",
    "df_filtered = df[(df['Year'] >= 1970) & (df['Year'] <= 2010)].copy()  # Use .copy() to avoid warnings\n",
    "\n",
    "# Calculate age and weighted duration\n",
    "df_filtered['Age'] = current_year - df_filtered['Year']\n",
    "df_filtered['Weighted_Duration'] = df_filtered['Duration'] * df_filtered['Age']\n",
    "\n",
    "# Group by 'Year' and calculate the time-weighted average duration\n",
    "avg_duration_per_year = (\n",
    "    df_filtered.groupby('Year').agg(\n",
    "        Total_Weighted_Duration=('Weighted_Duration', 'sum'),\n",
    "        Total_Weight=('Age', 'sum')\n",
    "    ).reset_index()\n",
    ")\n",
    "\n",
    "# Calculate the time-weighted average duration\n",
    "avg_duration_per_year['Time_Weighted_Avg_Duration'] = (\n",
    "    avg_duration_per_year['Total_Weighted_Duration'] / avg_duration_per_year['Total_Weight']\n",
    ")\n",
    "\n",
    "# Prepare the data \n",
    "avg_duration_per_year = avg_duration_per_year.dropna(subset=['Time_Weighted_Avg_Duration'])\n",
    "x = avg_duration_per_year['Year']\n",
    "y = avg_duration_per_year['Time_Weighted_Avg_Duration']\n",
    "\n",
    "# Fit \n",
    "p = Polynomial.fit(x, y, deg=2)\n",
    "\n",
    "# Predict for the year 2020\n",
    "year_to_predict = 2020\n",
    "predicted_duration = p(year_to_predict)\n",
    "\n",
    "print(f\"Predicted Time-Weighted Average Duration for {year_to_predict}: {predicted_duration:.2f}\")\n",
    "\n",
    "# Predict durations for the years in the filtered dataset\n",
    "predicted_durations = p(avg_duration_per_year['Year'])\n",
    "\n",
    "# metrics\n",
    "mae = mean_absolute_error(avg_duration_per_year['Time_Weighted_Avg_Duration'], predicted_durations)\n",
    "mse = mean_squared_error(avg_duration_per_year['Time_Weighted_Avg_Duration'], predicted_durations)\n",
    "rmse = np.sqrt(mse)\n",
    "\n",
    "print(f\"Mean Absolute Error (MAE): {mae:.2f}\")\n",
    "print(f\"Mean Squared Error (MSE): {mse:.2f}\")\n",
    "print(f\"Root Mean Squared Error (RMSE): {rmse:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "73f767bf-1d43-4b7e-8888-2926a552f0fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Time-Weighted Average Duration for 2027: 6.00\n"
     ]
    }
   ],
   "source": [
    "current_year = 2024  \n",
    "\n",
    "# Filter the DataFrame for years above 1970\n",
    "df_filtered = df[df['Year'] >= 1970].copy()  # Use .copy() to avoid warnings\n",
    "\n",
    "# Calculate age and weighted duration\n",
    "df_filtered['Age'] = current_year - df_filtered['Year']\n",
    "df_filtered['Weighted_Duration'] = df_filtered['Duration'] * df_filtered['Age']\n",
    "\n",
    "# Group by 'Year' and calculate the time-weighted average duration\n",
    "avg_duration_per_year = (\n",
    "    df_filtered.groupby('Year').agg(\n",
    "        Total_Weighted_Duration=('Weighted_Duration', 'sum'),\n",
    "        Total_Weight=('Age', 'sum')\n",
    "    ).reset_index()\n",
    ")\n",
    "\n",
    "# Calculate the time-weighted average duration\n",
    "avg_duration_per_year['Time_Weighted_Avg_Duration'] = (\n",
    "    avg_duration_per_year['Total_Weighted_Duration'] / avg_duration_per_year['Total_Weight']\n",
    ")\n",
    "\n",
    "# Prepare the data \n",
    "avg_duration_per_year = avg_duration_per_year.dropna(subset=['Time_Weighted_Avg_Duration'])\n",
    "x = avg_duration_per_year['Year']\n",
    "y = avg_duration_per_year['Time_Weighted_Avg_Duration']\n",
    "\n",
    "# Fit \n",
    "p = Polynomial.fit(x, y, deg=2)\n",
    "\n",
    "# Predict for the year 2027\n",
    "year_to_predict_2027 = 2027\n",
    "predicted_duration_2027 = p(year_to_predict_2027)\n",
    "\n",
    "# Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    " \n",
    "# scatter plot\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.scatter(x, y, color='purple', label='Time-Weighted Average Duration vs Year')\n",
    "\n",
    "x_range = np.linspace(x.min(), x.max(), 100)\n",
    "y_fit = p(x_range)\n",
    "\n",
    "# Plot \n",
    "plt.plot(x_range, y_fit, color='orange', label='Polynomial Fit (Degree 2)', linewidth=2)\n",
    "plt.scatter(year_to_predict_2027, predicted_duration_2027, color='red', label='Prediction for 2027', zorder=5)\n",
    "\n",
    "# title and labels \n",
    "plt.title('Time-Weighted Average Duration vs Year', fontsize=16, pad=10)\n",
    "plt.xlabel('Year', fontsize=12)\n",
    "plt.ylabel('Duration', fontsize=12)\n",
    "\n",
    "plt.gca().set_facecolor('lightgray')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Print the predicted duration for 2027\n",
    "print(f\"Predicted Time-Weighted Average Duration for 2027: {predicted_duration_2027:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca6cfd06-0ab3-4cad-b4ef-bb182aee63de",
   "metadata": {},
   "source": [
    "# Top Brands by Releases"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ebbf7f8-bbc4-47b7-b6ea-fc8ec0ceea8e",
   "metadata": {},
   "source": [
    "Looking into the top 10 brands by releases, we see that Roland, Korg, and Yamaha lead the list, which is expected given their strong presence in the music industry. All three brands are well-known for their influential synthesizers and drum machines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "eb205fcf-b391-4246-8949-387b1dde727a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "brand_counts = df['Brand'].value_counts().nlargest(10)\n",
    "\n",
    "# font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Bar plot\n",
    "plt.figure(figsize=(8, 8))\n",
    "\n",
    "# background color \n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  \n",
    "\n",
    "bars = plt.bar(brand_counts.index, brand_counts.values, color='lightcoral', zorder=3, edgecolor='black')\n",
    "\n",
    "# Bar labels \n",
    "for bar, count in zip(bars, brand_counts.values):\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, yval + 0.5, int(count), ha='center', va='bottom')\n",
    "\n",
    "\n",
    "plt.grid(axis='y', zorder=0)  \n",
    "\n",
    "# title and labels\n",
    "plt.title('Top 10 Brands by Releases', fontsize=16, pad=10)\n",
    "plt.xlabel('Brand', fontsize=12)\n",
    "plt.ylabel('Releases', fontsize=12)\n",
    "plt.xticks(rotation=45, ha='right', fontsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9337d9d-b8c0-4388-a57e-22d3d6c26682",
   "metadata": {},
   "source": [
    "# Polyphony"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e64d579-7e8c-4ecd-9739-a31267d1a713",
   "metadata": {},
   "source": [
    "Looking at the top 10 by polyphony counts, we see a clear trend: significantly more monophonic synths have been released compared to their polyphonic counterparts. Among the polyphonic designs, those with 8 voices are particularly prominent, followed by a variety of even-numbered polyphony combinations. Interestingly, odd-numbered polyphonic synths seem to be much less popular among manufacturers. This may be due to the advantages of even-numbered configurations, which allow for better stereo imaging, harmonious chord distribution, and simpler circuit design\n",
    "\n",
    "In terms of circuit design, even-numbered voice counts simplify the synthesizer's architecture. Many electronic components are designed for even numbers, facilitating easier signal routing and processing. This can result in more efficient signal flow and reduced circuitry complexity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "af1c3430-c324-4377-a5f5-8c3bcfabaefa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_filtered = df[df['Polyphony'] != 0]\n",
    "\n",
    "# Group by 'Polyphony' and count\n",
    "polyphony_counts = df_filtered['Polyphony'].value_counts().sort_values(ascending=False).head(10)\n",
    "\n",
    "# font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Generate Plasma colormap\n",
    "colors = plt.cm.plasma(np.linspace(0, 1, len(polyphony_counts))) * 0.9\n",
    "\n",
    "# Function to determine contrast color\n",
    "def get_contrast_color(color):\n",
    "    # Calculate brightness (perceived luminance)\n",
    "    brightness = 0.299 * color[0] + 0.587 * color[1] + 0.114 * color[2]\n",
    "    return 'white' if brightness < 0.5 else 'black'\n",
    "\n",
    "# Create the donut chart\n",
    "plt.figure(figsize=(8, 8))\n",
    "wedges, texts, autotexts = plt.pie(polyphony_counts, labels=polyphony_counts.index.astype(str), \n",
    "                                    autopct='%1.1f%%', colors=colors, wedgeprops=dict(width=0.6))\n",
    "\n",
    "# text color\n",
    "for i, autotext in enumerate(autotexts):\n",
    "    autotext.set_color(get_contrast_color(colors[i]))  # Set color based on the corresponding wedge color\n",
    "\n",
    "for text in texts:\n",
    "    text.set_color('black')  # Set label text color to black for visibility\n",
    "\n",
    "plt.title('Count of Polyphony Entries', fontsize=16, pad=10)\n",
    "plt.axis('equal')  \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a908fa7-be6e-4059-8d2f-c03d968d8782",
   "metadata": {},
   "source": [
    "### Highest Polyphony Counts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7d02e3d-69ca-4a56-a174-fd895b8039e2",
   "metadata": {},
   "source": [
    "Examining the highest polyphony counts, we find the **[ANS synthesizer](https://en.wikipedia.org/wiki/ANS_synthesizer)** at the top of the list. Designed by Russian engineer Evgeny Murzin, the ANS generates sound using drawn spectrograms on glass discs, offering an impressive range of 720 microtones—hence the 720 polyphony—across 10 octaves. Users interact with the instrument by scratching a black coating on a glass plate, allowing light to pass through and create intricate sound patterns. Following this, we see primarily modern entries from the 2000s onward."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cb2c346a-a973-45bc-ac1a-64c385abced9",
   "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Polyphony</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1957</td>\n",
       "      <td>Evgeny Murzin</td>\n",
       "      <td>Evgeny Murzin - Ans Synthesizer</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2256</th>\n",
       "      <td>2022</td>\n",
       "      <td>Dexibell</td>\n",
       "      <td>Dexibell Vivo Sx 8</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>2002</td>\n",
       "      <td>Generalmusic (GEM)</td>\n",
       "      <td>Generalmusic (Gem) - Promega 3</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2252</th>\n",
       "      <td>2021</td>\n",
       "      <td>Kodamo</td>\n",
       "      <td>Kodamo Essence Fm Mkii</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2262</th>\n",
       "      <td>2022</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland Juno X</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2250</th>\n",
       "      <td>2021</td>\n",
       "      <td>Kurzweil</td>\n",
       "      <td>Kurzweil K2700</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2157</th>\n",
       "      <td>2018</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland Ax Edge White</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2208</th>\n",
       "      <td>2019</td>\n",
       "      <td>V3</td>\n",
       "      <td>V3 Sound Sonority Xxl</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>2011</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Jupiter-80</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2279</th>\n",
       "      <td>2022</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland Fantom 07</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Year               Brand                             Name Device  \\\n",
       "15    1957       Evgeny Murzin  Evgeny Murzin - Ans Synthesizer  Synth   \n",
       "2256  2022            Dexibell               Dexibell Vivo Sx 8  Synth   \n",
       "1321  2002  Generalmusic (GEM)   Generalmusic (Gem) - Promega 3  Synth   \n",
       "2252  2021              Kodamo           Kodamo Essence Fm Mkii  Synth   \n",
       "2262  2022              Roland                    Roland Juno X  Synth   \n",
       "2250  2021            Kurzweil                   Kurzweil K2700  Synth   \n",
       "2157  2018              Roland             Roland Ax Edge White  Synth   \n",
       "2208  2019                  V3            V3 Sound Sonority Xxl  Synth   \n",
       "1621  2011              Roland              Roland - Jupiter-80  Synth   \n",
       "2279  2022              Roland                 Roland Fantom 07  Synth   \n",
       "\n",
       "     Architecture  Polyphony  \n",
       "15         Analog        720  \n",
       "2256      Digital        320  \n",
       "1321      Digital        320  \n",
       "2252      Digital        300  \n",
       "2262      Digital        256  \n",
       "2250      Digital        256  \n",
       "2157      Digital        256  \n",
       "2208      Digital        256  \n",
       "1621      Digital        256  \n",
       "2279      Digital        256  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pol = df.sort_values('Polyphony', ascending=False)\n",
    "df_pol[['Year', 'Brand', 'Name', 'Device', 'Architecture', 'Polyphony']].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e72cb360-a72e-4264-a1ca-ad60ea2ebb54",
   "metadata": {},
   "source": [
    "### Polyphony over the years"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd2a6635-2383-476c-976e-205bd7bdb856",
   "metadata": {},
   "source": [
    "Examining the average polyphony distribution over the years reveals an intersting pattern: it peaks in the late 90s and early 2000s. During this time, high polyphony counts were commonly used for multitimbrality, which was essential in pre-computer-based studios. Synthesizers evolved into \"workstations,\" offering comprehensive solutions for music production. Notably, there is a decline in average polyphony around the mid-2010s, even as release numbers peak, which I attribute to the rising popularity of monophonic analog synthesizers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "73d1d48c-bbee-4d4b-a47a-f3e7184d0d3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Filter for entries from 1970 onwards\n",
    "df_filtered = df[df['Year'] >= 1970]\n",
    "\n",
    "# Average polyphony per year\n",
    "avg_polyphony = df_filtered[df_filtered['Polyphony'] != 0].groupby('Year')['Polyphony'].mean().reset_index()\n",
    "\n",
    "# Releases per year\n",
    "entry_count = df_filtered.groupby('Year')['Name'].count().reset_index(name='Entry Count')\n",
    "\n",
    "# Create the plot\n",
    "fig, ax1 = plt.subplots(figsize=(10, 8))\n",
    "\n",
    "# Background color\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')\n",
    "\n",
    "# Releases Area plot\n",
    "area = ax1.fill_between(entry_count['Year'], entry_count['Entry Count'], color='lightcoral', alpha=0.4, label='Entry Count')\n",
    "ax1.set_ylabel('Releases', color='black')\n",
    "ax1.tick_params(axis='y', labelcolor='black')\n",
    "\n",
    "# Plot polyphony\n",
    "ax2 = ax1.twinx()\n",
    "line, = ax2.plot(avg_polyphony['Year'], avg_polyphony['Polyphony'], color='#6a00a8', label='Average Polyphony', linestyle='-', linewidth=2)\n",
    "ax2.set_xlabel('Year')\n",
    "ax2.set_ylabel('Average Polyphony', color='black')\n",
    "ax2.tick_params(axis='y', labelcolor='black')\n",
    "ax2.grid(axis='y')\n",
    "\n",
    "# Add legend\n",
    "ax1.legend(loc='upper left')\n",
    "ax2.legend(loc='upper right')\n",
    "\n",
    "plt.title('Average Polyphony and Release Count per Year (1970 Onwards)', fontsize=16, pad=10)\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "477917cf-5318-4d38-bd5c-b510a525aca2",
   "metadata": {},
   "source": [
    "## Multitimbrality "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f2cc547-fc4c-4242-bff4-6abab51fb663",
   "metadata": {},
   "source": [
    "The plot below highlights the peak in average multitimbrality during the late 1990s and early 2000s. During this period, multitimbral synthesizers became increasingly popular because they offered a comprehensive solution for producers, enabling them to create complex arrangements with multiple sounds from a single device. This made them especially useful for scoring purposes, as composers could layer different instrument sounds without needing extensive hardware setups. However, this trend began to decline as computers and virtual instruments started to dominate the studio landscape. The rise of digital audio workstations (DAWs) provided producers with more flexible and powerful tools that could naturally replace multitimbral hardware synthesizers, leading to a reduced reliance on these devices​"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "36592890-5903-4426-ab0c-a60e6185ec09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Filter for years from 1970\n",
    "df_filtered = df[df['Year'] >= 1970]\n",
    "\n",
    "# Average 'Multitimbral' per year\n",
    "avg_multitimbral = df_filtered.groupby('Year')['Multitimbral'].mean().reset_index()\n",
    "\n",
    "# Create the plot\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')\n",
    "\n",
    "plt.plot(avg_multitimbral['Year'], avg_multitimbral['Multitimbral'], color='coral', linewidth=2)\n",
    "\n",
    "# Labels and title\n",
    "plt.xlabel('Year', fontsize=12)\n",
    "plt.ylabel('Average Multitimbrality', fontsize=12)\n",
    "plt.title('Average Multitimbrality per Year', fontsize=16, pad=10)\n",
    "plt.grid()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "584e3fe8-9291-4725-a506-525f1f540514",
   "metadata": {},
   "source": [
    "# Most Polyphonic and Digital Year"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6148d7b6-3243-4cc5-9f42-e03b1009c2ba",
   "metadata": {},
   "source": [
    "I wanted to investigate which year had the highest percentage of polyphonic releases. The code filters a DataFrame to include entries from 1970 onwards, groups the data by year, and calculates the total number of synthesizers as well as those with polyphony greater than 1. It then computes the percentage of polyphonic synths, identifies the year with the highest percentage, and prints that year along with its percentage.\n",
    "\n",
    "The resulting year is **1993**, which includes 11 synthesizers with a polyphony of 32 and is notable for being the only year in the dataset with **no analog releases**. It was a remarkable year for digital synthesizers, featuring significant models such as the **[Waldorf Wave](https://www.soundonsound.com/reviews/waldorf-wave)** and the **[E-MU Morpheus](https://www.emumania.net/emu-morpheus-sound-module/)**, among others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1b36d645-c544-46f7-a6f9-349cab1b1dc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The year with the highest percentage of synths with Polyphony > 1 from 1970 onwards is 1993 with 100.00%.\n"
     ]
    }
   ],
   "source": [
    "# Filter the DataFrame for years 1970 and onwards\n",
    "df_filtered = df[df['Year'] >= 1970]\n",
    "\n",
    "# Group by 'Year' and calculate the percentage of synths with Polyphony > 1\n",
    "yearly_polyphony = df_filtered.groupby('Year').agg(\n",
    "    total_synths=('Polyphony', 'size'),\n",
    "    polyphony_greater_than_1=('Polyphony', lambda x: (x > 1).sum())\n",
    ")\n",
    "\n",
    "# Calculate %\n",
    "yearly_polyphony['percentage'] = (yearly_polyphony['polyphony_greater_than_1'] / yearly_polyphony['total_synths']) * 100\n",
    "\n",
    "# Find the year with the maximum percentage\n",
    "max_percentage_year = yearly_polyphony['percentage'].idxmax()\n",
    "max_percentage_value = yearly_polyphony['percentage'].max()\n",
    "\n",
    "print(f\"The year with the highest percentage of synths with Polyphony > 1 from 1970 onwards is {max_percentage_year} with {max_percentage_value:.2f}%.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e467eb28-c7d3-40ff-8a59-dfa27b6403c0",
   "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Polyphony</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>1993</td>\n",
       "      <td>Peavey</td>\n",
       "      <td>Peavey - Dpm Si</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>1993</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Jd-990</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>1993</td>\n",
       "      <td>Quasimidi</td>\n",
       "      <td>Quasimidi - Caruso</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>1993</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - X3R</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>1993</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Jv-90</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>919</th>\n",
       "      <td>1993</td>\n",
       "      <td>Ensoniq</td>\n",
       "      <td>Ensoniq - Ts-12</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>1993</td>\n",
       "      <td>E-mu</td>\n",
       "      <td>E-Mu - Eiiix (S)</td>\n",
       "      <td>Sampler</td>\n",
       "      <td>Digital</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>921</th>\n",
       "      <td>1993</td>\n",
       "      <td>Quasimidi</td>\n",
       "      <td>Quasimidi - Quasar</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>1993</td>\n",
       "      <td>E-mu</td>\n",
       "      <td>E-Mu - Vintage Keys (Plus)</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>1993</td>\n",
       "      <td>Peavey</td>\n",
       "      <td>Peavey - Spectrum Bass</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924</th>\n",
       "      <td>1993</td>\n",
       "      <td>Waldorf</td>\n",
       "      <td>Waldorf - Wave</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>1993</td>\n",
       "      <td>Peavey</td>\n",
       "      <td>Peavey - Dpm 4</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>1993</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - X3</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>1993</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Jv-35</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>1993</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - W-50</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>1993</td>\n",
       "      <td>E-mu</td>\n",
       "      <td>E-Mu - Morpheus</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>1993</td>\n",
       "      <td>Akai</td>\n",
       "      <td>Akai - S01</td>\n",
       "      <td>Sampler</td>\n",
       "      <td>Digital</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>1993</td>\n",
       "      <td>Peavey</td>\n",
       "      <td>Peavey - Dpm 488</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>1993</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - X2</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>1993</td>\n",
       "      <td>Alesis</td>\n",
       "      <td>Alesis - Quadrasynth (Plus)</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>1993</td>\n",
       "      <td>Alesis</td>\n",
       "      <td>Alesis - S4 (Plus)</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>1993</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Jv-50</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>1993</td>\n",
       "      <td>Kawai</td>\n",
       "      <td>Kawai - Spectra Kc20</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>1993</td>\n",
       "      <td>Ensoniq</td>\n",
       "      <td>Ensoniq - Ts-10</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>938</th>\n",
       "      <td>1993</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - I3</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year      Brand                         Name   Device Architecture  \\\n",
       "914  1993     Peavey              Peavey - Dpm Si    Synth      Digital   \n",
       "915  1993     Roland              Roland - Jd-990    Synth      Digital   \n",
       "916  1993  Quasimidi           Quasimidi - Caruso    Synth      Digital   \n",
       "917  1993       Korg                   Korg - X3R    Synth      Digital   \n",
       "918  1993     Roland               Roland - Jv-90    Synth      Digital   \n",
       "919  1993    Ensoniq              Ensoniq - Ts-12    Synth      Digital   \n",
       "920  1993       E-mu             E-Mu - Eiiix (S)  Sampler      Digital   \n",
       "921  1993  Quasimidi           Quasimidi - Quasar    Synth      Digital   \n",
       "922  1993       E-mu   E-Mu - Vintage Keys (Plus)    Synth      Digital   \n",
       "923  1993     Peavey       Peavey - Spectrum Bass    Synth      Digital   \n",
       "924  1993    Waldorf               Waldorf - Wave    Synth      Digital   \n",
       "925  1993     Peavey               Peavey - Dpm 4    Synth      Digital   \n",
       "926  1993       Korg                    Korg - X3    Synth      Digital   \n",
       "927  1993     Roland               Roland - Jv-35    Synth      Digital   \n",
       "928  1993     Roland                Roland - W-50    Synth      Digital   \n",
       "929  1993       E-mu              E-Mu - Morpheus    Synth      Digital   \n",
       "930  1993       Akai                   Akai - S01  Sampler      Digital   \n",
       "931  1993     Peavey             Peavey - Dpm 488    Synth      Digital   \n",
       "932  1993       Korg                    Korg - X2    Synth      Digital   \n",
       "933  1993     Alesis  Alesis - Quadrasynth (Plus)    Synth      Digital   \n",
       "934  1993     Alesis           Alesis - S4 (Plus)    Synth      Digital   \n",
       "935  1993     Roland               Roland - Jv-50    Synth      Digital   \n",
       "936  1993      Kawai         Kawai - Spectra Kc20    Synth      Digital   \n",
       "937  1993    Ensoniq              Ensoniq - Ts-10    Synth      Digital   \n",
       "938  1993       Korg                    Korg - I3    Synth      Digital   \n",
       "\n",
       "     Polyphony  \n",
       "914         32  \n",
       "915         24  \n",
       "916         20  \n",
       "917         32  \n",
       "918         28  \n",
       "919         32  \n",
       "920         16  \n",
       "921         21  \n",
       "922         32  \n",
       "923          8  \n",
       "924         16  \n",
       "925         32  \n",
       "926         32  \n",
       "927         28  \n",
       "928         56  \n",
       "929         32  \n",
       "930          8  \n",
       "931         32  \n",
       "932         32  \n",
       "933         64  \n",
       "934         64  \n",
       "935         28  \n",
       "936         28  \n",
       "937         32  \n",
       "938         32  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df93 = df[df['Year']==1993]\n",
    "df93[['Year', 'Brand', 'Name', 'Device', 'Architecture', 'Polyphony']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a6e292b-149d-464f-9d4a-d328f2c8a8ea",
   "metadata": {},
   "source": [
    "# Most monophonic and Analog year"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7be50ec5-05ee-4fae-8c74-c6c65da47ca2",
   "metadata": {},
   "source": [
    "After this, I wanted to explore the year with the highest percentage of analog and monophonic synthesizers, which turned out to be 1974. In that year, **100% of the releases were analog**, and **62.5% were monophonic.** The most notable synthesizers from this year include the **Oberheim SEM** and the **Roland System 100M**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "fdec8794-4db1-4f52-b363-aebd33d61a7b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The year with the highest percentage of synths with Polyphony > 1 from 1970 onwards is 1974 with 62.50%.\n"
     ]
    }
   ],
   "source": [
    "# Filter the DataFrame \n",
    "df_filtered = df[df['Year'] >= 1970]\n",
    "\n",
    "# Group by 'Year' and calculate the percentage of synths with Polyphony > 1\n",
    "yearly_polyphony = df_filtered.groupby('Year').agg(\n",
    "    total_synths=('Polyphony', 'size'),\n",
    "    polyphony_greater_than_1=('Polyphony', lambda x: (x == 1).sum())\n",
    ")\n",
    "\n",
    "# Calculate the percentage\n",
    "yearly_polyphony['percentage'] = (yearly_polyphony['polyphony_greater_than_1'] / yearly_polyphony['total_synths']) * 100\n",
    "\n",
    "# Find the year with the max percentage\n",
    "max_percentage_year = yearly_polyphony['percentage'].idxmax()\n",
    "max_percentage_value = yearly_polyphony['percentage'].max()\n",
    "\n",
    "print(f\"The year with the highest percentage of synths with Polyphony > 1 from 1970 onwards is {max_percentage_year} with {max_percentage_value:.2f}%.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "6485b233-be3b-4365-920f-c1348d50c521",
   "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Polyphony</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>1974</td>\n",
       "      <td>ARP</td>\n",
       "      <td>Arp - Explorer 1</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>1974</td>\n",
       "      <td>Sequential Circuits</td>\n",
       "      <td>Sequential Circuits - Model 600</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Sh-3A</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - System 100M</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>1974</td>\n",
       "      <td>PAiA</td>\n",
       "      <td>Paia - Gnome</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>1974</td>\n",
       "      <td>ARP</td>\n",
       "      <td>Arp - Solina String Ensemble</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>1974</td>\n",
       "      <td>PAiA</td>\n",
       "      <td>Paia - Stereo Chord Egg</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>1974</td>\n",
       "      <td>Yamaha</td>\n",
       "      <td>Yamaha - Sy-1</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>1974</td>\n",
       "      <td>Maplin</td>\n",
       "      <td>Maplin - Eti 4600</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1974</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - Minikorg-700</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1974</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - Minikorg-700S</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>1974</td>\n",
       "      <td>RMI</td>\n",
       "      <td>Rmi - Harmonic Synthesizer</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>1974</td>\n",
       "      <td>Electronic Music Studios (EMS)</td>\n",
       "      <td>Electronic Music Studios (Ems) - Spectron (Spe...</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>1974</td>\n",
       "      <td>Crumar</td>\n",
       "      <td>Crumar - Stringman</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>1974</td>\n",
       "      <td>Oberheim</td>\n",
       "      <td>Oberheim - Sem</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1974</td>\n",
       "      <td>Crumar</td>\n",
       "      <td>Crumar - Jazzman</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1974</td>\n",
       "      <td>Hammond</td>\n",
       "      <td>Hammond - Auto-Vari 64</td>\n",
       "      <td>Drum</td>\n",
       "      <td>Analog</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>1974</td>\n",
       "      <td>Hammond</td>\n",
       "      <td>Hammond - 102200 Preset Synth</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>1974</td>\n",
       "      <td>Crumar</td>\n",
       "      <td>Crumar - Pianoman</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>1974</td>\n",
       "      <td>Multivox</td>\n",
       "      <td>Multivox - Fr-7M</td>\n",
       "      <td>Drum</td>\n",
       "      <td>Analog</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>1974</td>\n",
       "      <td>Crumar</td>\n",
       "      <td>Crumar - Brassman</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>1974</td>\n",
       "      <td>GR International</td>\n",
       "      <td>Gr International - Bandmaster Powerhouse</td>\n",
       "      <td>Drum</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>1974</td>\n",
       "      <td>Maplin</td>\n",
       "      <td>Maplin - Eti 3600</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>1974</td>\n",
       "      <td>Univox</td>\n",
       "      <td>Univox - Jazzman Jm115</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year                           Brand  \\\n",
       "115  1974                             ARP   \n",
       "116  1974             Sequential Circuits   \n",
       "117  1974                          Roland   \n",
       "118  1974                          Roland   \n",
       "119  1974                            PAiA   \n",
       "120  1974                             ARP   \n",
       "121  1974                            PAiA   \n",
       "122  1974                          Yamaha   \n",
       "123  1974                          Maplin   \n",
       "124  1974                            Korg   \n",
       "125  1974                            Korg   \n",
       "126  1974                             RMI   \n",
       "127  1974  Electronic Music Studios (EMS)   \n",
       "128  1974                          Crumar   \n",
       "129  1974                        Oberheim   \n",
       "130  1974                          Crumar   \n",
       "131  1974                         Hammond   \n",
       "132  1974                         Hammond   \n",
       "133  1974                          Crumar   \n",
       "134  1974                        Multivox   \n",
       "135  1974                          Crumar   \n",
       "136  1974                GR International   \n",
       "137  1974                          Maplin   \n",
       "138  1974                          Univox   \n",
       "\n",
       "                                                  Name Device Architecture  \\\n",
       "115                                   Arp - Explorer 1  Synth       Analog   \n",
       "116                    Sequential Circuits - Model 600  Synth       Analog   \n",
       "117                                     Roland - Sh-3A  Synth       Analog   \n",
       "118                               Roland - System 100M  Synth       Analog   \n",
       "119                                       Paia - Gnome  Synth       Analog   \n",
       "120                       Arp - Solina String Ensemble  Synth       Analog   \n",
       "121                            Paia - Stereo Chord Egg   Misc       Analog   \n",
       "122                                      Yamaha - Sy-1  Synth       Analog   \n",
       "123                                  Maplin - Eti 4600  Synth       Analog   \n",
       "124                                Korg - Minikorg-700  Synth       Analog   \n",
       "125                               Korg - Minikorg-700S  Synth       Analog   \n",
       "126                         Rmi - Harmonic Synthesizer  Synth       Analog   \n",
       "127  Electronic Music Studios (Ems) - Spectron (Spe...  Synth       Analog   \n",
       "128                                 Crumar - Stringman  Synth       Analog   \n",
       "129                                     Oberheim - Sem  Synth       Analog   \n",
       "130                                   Crumar - Jazzman  Synth       Analog   \n",
       "131                             Hammond - Auto-Vari 64   Drum       Analog   \n",
       "132                      Hammond - 102200 Preset Synth  Synth       Analog   \n",
       "133                                  Crumar - Pianoman  Synth       Analog   \n",
       "134                                   Multivox - Fr-7M   Drum       Analog   \n",
       "135                                  Crumar - Brassman  Synth       Analog   \n",
       "136           Gr International - Bandmaster Powerhouse   Drum       Analog   \n",
       "137                                  Maplin - Eti 3600  Synth       Analog   \n",
       "138                             Univox - Jazzman Jm115  Synth       Analog   \n",
       "\n",
       "     Polyphony  \n",
       "115          1  \n",
       "116          1  \n",
       "117          1  \n",
       "118          1  \n",
       "119          1  \n",
       "120         49  \n",
       "121          0  \n",
       "122          1  \n",
       "123          1  \n",
       "124          1  \n",
       "125          1  \n",
       "126          1  \n",
       "127          1  \n",
       "128         61  \n",
       "129          1  \n",
       "130         61  \n",
       "131          7  \n",
       "132          1  \n",
       "133         61  \n",
       "134          6  \n",
       "135         49  \n",
       "136          1  \n",
       "137          1  \n",
       "138         61  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df74 = df[df['Year']==1974]\n",
    "df74[['Year', 'Brand', 'Name', 'Device', 'Architecture', 'Polyphony']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2720a8a8-0174-41cc-8fc0-16bed37d7c6a",
   "metadata": {},
   "source": [
    "# Synthesizer Names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c319ae96-8de9-4625-972b-2458b1295f6d",
   "metadata": {},
   "source": [
    "Next, I wanted to explore how synthesizers are named. The code removes brand names from a list of synthesizer names, counts the remaining words, and creates a square treemap of the top 30 most common words. Ignoring \"Nord,\" which is linked to the 63 Clavia instruments in the dataset, I noticed the frequent appearance of \"2\" and \"II,\" prompting me to investigate how many synthesizers had sequels. Filtering the dataset for entries containing \"2\" or \"MK\" revealed 192 entries, accounting for **8.1%** of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "1d58c5bd-9d95-4a71-b370-fe4a6b973c90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Exclude brands from names\n",
    "exclude_words = set(df['Brand'].dropna().str.lower())\n",
    "filtered_words = []\n",
    "\n",
    "# Filter words from names\n",
    "for name in df['Name']:\n",
    "    words = name.split()\n",
    "    filtered_words.extend([\n",
    "        word for word in words \n",
    "        if word.lower() not in exclude_words and re.match(r'^[A-Za-z0-9]+$', word)\n",
    "    ])\n",
    "\n",
    "# Count occurrences and prepare data\n",
    "word_counts = Counter(filtered_words)\n",
    "top_words = word_counts.most_common(30)\n",
    "words, counts = zip(*top_words)\n",
    "counts = np.array(counts) ** 2  \n",
    "colors = plt.cm.plasma_r(counts / counts.max())  # Reverse Plasma\n",
    "\n",
    "# Create figure and treemap\n",
    "plt.figure(figsize=(8, 8))\n",
    "squarify.plot(sizes=counts, color=colors, alpha=0.7, edgecolor='black', linewidth=0.5)\n",
    "\n",
    "# Font sizes \n",
    "ax = plt.gca()\n",
    "\n",
    "# Define font size scaling function\n",
    "def scale_font_size(count, min_size=8, max_size=28, min_count=min(counts), max_count=max(counts)):\n",
    "    return min_size + (count - min_count) / (max_count - min_count) * (max_size - min_size)\n",
    "\n",
    "for i, (label, size) in enumerate(zip(words, counts)):\n",
    "    x, y, width, height = ax.patches[i].get_x(), ax.patches[i].get_y(), ax.patches[i].get_width(), ax.patches[i].get_height()\n",
    "    fontsize = scale_font_size(size)\n",
    "    plt.text(x + width / 2, y + height / 2, label, ha='center', va='center', fontsize=fontsize)\n",
    "\n",
    "plt.title('Top 30 Words in Synth Names', fontsize=16, pad=10)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "717387d2-0da5-492e-849c-c9f8400fa0f3",
   "metadata": {},
   "source": [
    "# 8.1% of the synths in the data set have a Sequel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7039b06a-922f-43ae-9a18-2a86acb652ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Entry count of sequel_df: 192\n",
      "Entry count of df: 2368\n",
      "Percentage of sequel_df from df: 8.11%\n"
     ]
    }
   ],
   "source": [
    "# Filter \n",
    "sequel_df = df[df['Name'].str.contains(r'\\b2\\b|ii|mk', case=False, na=False)]\n",
    "name_list = sequel_df ['Name'].tolist()\n",
    "sequel_count = sequel_df.shape[0]\n",
    "\n",
    "total_count = df.shape[0]\n",
    "\n",
    "percentage = (sequel_count / total_count) * 100\n",
    "\n",
    "# Print the results\n",
    "print(f\"Entry count of sequel_df: {sequel_count}\")\n",
    "print(f\"Entry count of df: {total_count}\")\n",
    "print(f\"Percentage of sequel_df from df: {percentage:.2f}%\")\n",
    "\n",
    "#Uncomment to view synths that have a sequel\n",
    "#print(name_list) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c45e9b50-3184-466b-b95b-2e86ff8e2337",
   "metadata": {},
   "source": [
    "# Fame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97aa0c17-55dd-4519-a906-50928ee1d15b",
   "metadata": {},
   "source": [
    "\"Fame\" is a parameter I've developed using a formula that assesses popularity by combining several factors. The score is calculated based on the presence of official websites, social media links, and music-related sites, with specific points awarded for each identified link. Additionally, the score considers the number of search results and incorporates a similarity score obtained from the Wikipedia API, reflecting how closely related a synthesizer is to existing Wikipedia entries. It also takes into account the presence of news articles and reviews, further enhancing the assessment of each synth's impact in the music community. This combination of factors ultimately quantifies the online presence and relevance of each synthesizer, providing a comprehensive measure of its popularity in the music community. \n",
    "\n",
    "Looking into the top 10, we can immediately see that the highest \"Fame\" scores are dominated by analog synthesizers from the 70s and 80s, with the **[TR-808 drum machine](https://en.wikipedia.org/wiki/Roland_TR-808)** topping the list, followed by the **[Minimoog](https://en.wikipedia.org/wiki/Minimoog)** and the **[TB-303](https://en.wikipedia.org/wiki/Roland_TB-303)**. If you’ve been in the music technology scene for a while, you might feel that this top 10 list is self-evident. However, for me, one of the most beautiful aspects of data science is its capacity to validate existing knowledge while also revealing new insights and patterns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "dc629c65-d232-41c9-9e99-3c944e2712be",
   "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>Year</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Device</th>\n",
       "      <th>Architecture</th>\n",
       "      <th>Fame</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Tr-808</td>\n",
       "      <td>Drum</td>\n",
       "      <td>Analog</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1970</td>\n",
       "      <td>Moog</td>\n",
       "      <td>Moog - Minimoog</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.990286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>1982</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Tb-303</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.947888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Sh-101</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.918900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>1982</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Juno-60</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.915866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>1981</td>\n",
       "      <td>Oberheim</td>\n",
       "      <td>Oberheim - Ob-Xa</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.887227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>1983</td>\n",
       "      <td>Yamaha</td>\n",
       "      <td>Yamaha - Dx7</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Digital</td>\n",
       "      <td>0.867507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>1978</td>\n",
       "      <td>Korg</td>\n",
       "      <td>Korg - Ms-20</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.861803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>1984</td>\n",
       "      <td>Roland</td>\n",
       "      <td>Roland - Juno-106</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.861718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>1977</td>\n",
       "      <td>Yamaha</td>\n",
       "      <td>Yamaha - Cs80</td>\n",
       "      <td>Synth</td>\n",
       "      <td>Analog</td>\n",
       "      <td>0.828643</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year     Brand               Name Device Architecture      Fame\n",
       "386  1981    Roland    Roland - Tr-808   Drum       Analog  1.000000\n",
       "49   1970      Moog    Moog - Minimoog  Synth       Analog  0.990286\n",
       "418  1982    Roland    Roland - Tb-303  Synth       Analog  0.947888\n",
       "460  1983    Roland    Roland - Sh-101  Synth       Analog  0.918900\n",
       "425  1982    Roland   Roland - Juno-60  Synth       Analog  0.915866\n",
       "392  1981  Oberheim   Oberheim - Ob-Xa  Synth       Analog  0.887227\n",
       "452  1983    Yamaha       Yamaha - Dx7  Synth      Digital  0.867507\n",
       "259  1978      Korg       Korg - Ms-20  Synth       Analog  0.861803\n",
       "527  1984    Roland  Roland - Juno-106  Synth       Analog  0.861718\n",
       "210  1977    Yamaha      Yamaha - Cs80  Synth       Analog  0.828643"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fame = df.sort_values('Fame', ascending = False)\n",
    "df_fame[['Year', 'Brand', 'Name', 'Device', 'Architecture', 'Fame']].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3325bdfe-ce86-464f-959a-abb16e300a40",
   "metadata": {},
   "source": [
    "## Fame per type"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "370a2553-dd65-417f-97fb-9b2f70150f15",
   "metadata": {},
   "source": [
    "Breaking \"Fame\" into architecture types, we see the DX7 leading the digital synths, the wonderful OSCar at the forefront of the hybrid synths, and the quirky MC-300 sequencer leading the miscellaneous category. Each of these iconic pieces holds its place at the top in their respective groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "ae96135f-133e-4538-9a7b-dc0fb0c04bf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fame per Architecture\n",
    "highest_fame = df.loc[df.groupby('Architecture')['Fame'].idxmax()][['Architecture', 'Fame', 'Name']]\n",
    "\n",
    "#Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(8, 8))\n",
    "ax = plt.gca()\n",
    "ax.set_facecolor('lightgray')  # Set background color\n",
    "plt.bar(highest_fame['Architecture'], highest_fame['Fame'], color='orange', edgecolor='black')\n",
    "\n",
    "# Bar Labels\n",
    "for i in range(len(highest_fame)):\n",
    "    plt.text(i, highest_fame['Fame'].iloc[i], highest_fame['Name'].iloc[i], ha='center', va='bottom', fontsize=10, fontname='Avenir')\n",
    "\n",
    "# Labels and title\n",
    "plt.xlabel('Architecture', fontsize=12)\n",
    "plt.ylabel('Highest Fame', fontsize=12)\n",
    "plt.title('Highest Fame per Architecture', fontsize=16, pad=10)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "770b7bfe-30a8-442c-9673-06ba9261e0ac",
   "metadata": {},
   "source": [
    "# Fame vs actual sales"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01b75cd9-d258-4062-9bed-2a9f032211b8",
   "metadata": {},
   "source": [
    "Fame should not be confused with popularity in the context of sales figures. In fact, I would argue that synthesizers released in smaller quantities and that are harder to obtain often attain a cult status. While a synthesizer may achieve significant recognition within the music community, this does not always translate to high sales numbers. To illustrate this point, I have compiled a small DataFrame that includes the known sales figures for 35 synthesizers. Among these entries is the Korg Triton, which stands out as the best-selling synthesizer I am aware of. This analysis clarifies the distinction between a synthesizer's reputation and its actual market performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "64b471e6-ec82-4fa2-b135-a6f5319638b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data for the synthesizers, sources: Wikipedia, Gearspace, Kvr, Sweetwater\n",
    "data = {\n",
    "    'Name': ['EMS Synthi 100', 'Crumar Spirit', 'Fairlight CMI', 'E-MU Emulator', 'PPG Wave 2.3', \n",
    "             'Oberheim 4 Voice', 'OSCar', 'kawai - sx-240', 'Synclavier', 'Roland Jupiter 8', \n",
    "             'Yamaha CS80', 'Kurzweil 250', 'Rhodes Chroma', 'E-MU Emulator II', 'Korg Oasys', \n",
    "             'E-MU Emulator III', 'ARP Omni', 'Sequential Circuits Prophet 5', 'Korg Mono/Poly', \n",
    "             'Sequential Circuits Pro One', 'Moog - Minimoog', 'Korg Wavestation', 'Korg MS-20', \n",
    "             'Akai S1000', 'Korg Polysix', 'Ensoniq Mirage', 'Roland Juno 106', 'Ensoniq Esq1', \n",
    "             'Roland SH-101', 'Korg Poly800', 'Korg 01/W', 'Yamaha DX7', 'Roland D50', \n",
    "             'Korg M1', 'Korg Triton'],\n",
    "    \n",
    "    'Sold': [34, 100, 300, 500, 700, \n",
    "             800, 2000, 1000, 1600, 2000, \n",
    "             850, 3000, 3000, 3000, 3000, \n",
    "             3200, 4000, 8000, 10000, 10000, \n",
    "             13000, 14000, 20000, 22000, 30000, \n",
    "             30000, 40000, 50000, 50000, 100000, \n",
    "             100000, 160000, 200000, 250000, 300000],\n",
    "\n",
    "    'Fame': [0.159089082850423, 0.5422782503188586, 0.5267252888765711, 0.2849024381529835, \n",
    "             0.5769985327411191, 0.3688036678458943, 0.60981423341011, 0.2093605683382621,\n",
    "             0.3377717921693748, 0.7158822800127399, 0.828642659102052, 0.7743186800452001,\n",
    "             0.7027510361479484, 0.5364612245403346, 0.2877486592776719, 0.3983431342768326,\n",
    "             0.4267688394327832, 0.8170785660891338, 0.7970491607861364, 0.3354775380771948,\n",
    "             0.9902862049821092, 0.5118346098282753, 0.8618032095224291, 0.4894027452299969, \n",
    "             0.5846130223470267, 0.3786361374338713, 0.8617181423605822, 0.4925829857512558, \n",
    "             0.918899648799205, 0.7900385457992851, 0.497947027708753, 0.8675073945604589, \n",
    "             0.5843911224386217, 0.6370634512423423, 0.6545218339478499]  \n",
    "}\n",
    "\n",
    "dfs = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec2f436-6212-4c04-92d5-2ab9264ccfc0",
   "metadata": {},
   "source": [
    "Upon examining the plot below, a distinct pattern emerges regarding the sales performance of synthesizers from a contemporary perspective. The three best-selling models—the **[Korg Triton](https://en.wikipedia.org/wiki/Korg_Triton)**, **[Korg M1](https://de.wikipedia.org/wiki/Korg_M1)**, and **[Roland D-50](https://en.wikipedia.org/wiki/Roland_D-50)** were released in the late 1980s and 1990s and all occupy the medium fame range.\n",
    "\n",
    "This observation prompts a closer look at the relationship between fame and sales, suggesting that these synthesizers achieved significant commercial success without necessarily being regarded as groundbreaking or iconic in today’s music landscape. While the D-50 was quite innovative and has gained recent recognition for its unique sound and capabilities, the success of the Triton and the M1 can be attributed to their roles as reliable workhorses and their ability to provide complete production solutions. Their comprehensive features and user-friendly interfaces made them popular choices among musicians and producers, allowing for efficient music production without the need for additional equipment.\n",
    "\n",
    "Interestingly, the **[Yamaha DX7](https://en.wikipedia.org/wiki/Yamaha_DX7)** stands out as a possible exception to this trend, as it boasts very high fame and ranks as the fourth best-selling synth on the list. Its significant impact on the music industry, particularly in the 1980s, cemented its place as a legendary instrument, making it a key point of reference in discussions about synthesizers.\n",
    "\n",
    "Furthermore, the analysis shows that synthesizers with high fame, such as the **[Minimoog](https://de.wikipedia.org/wiki/Moog_Minimoog)**, **[Korg MS-20](https://en.wikipedia.org/wiki/Korg_MS-20)**, **[Roland SH-101](https://en.wikipedia.org/wiki/Roland_SH-101)**, and **[Juno-106](https://en.wikipedia.org/wiki/Roland_Juno-106)**, all sold fewer than 50,000 units. Notably, the Minimoog, the most popular among these, reached only 13,000 produced units and sales. This limited production, combined with their unique characteristics and iconic sounds, has likely contributed to their elevated fame ratings. The unique features and musical contributions of these models have given them a cult status in the music community, enhancing their reputation in synthesizer history."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8aff3b97-ae75-4c57-aff2-d0e79fcfd847",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Font\n",
    "plt.rcParams['font.family'] = 'Avenir'\n",
    "\n",
    "# Create the figure and axis for the scatter plot\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "# background color\n",
    "ax.set_facecolor('lightgray')\n",
    "\n",
    "# Scatter plot for 'Sold' vs 'Fame'\n",
    "ax.scatter(dfs['Fame'], dfs['Sold'], color='lightcoral')\n",
    "\n",
    "# Add title and labels\n",
    "ax.set_title('Units Sold vs Fame', fontsize=16, pad=10)\n",
    "ax.set_xlabel('Fame', fontsize=12)\n",
    "ax.set_ylabel('Units Sold', fontsize=12)\n",
    "\n",
    "top_fame_indices = dfs['Fame'].nlargest(5).index\n",
    "top_sold_indices = dfs['Sold'].nlargest(3).index\n",
    "\n",
    "highlighted_indices = top_fame_indices.union(top_sold_indices)\n",
    "\n",
    "# Add annotations \n",
    "for idx in highlighted_indices:\n",
    "    if idx in top_sold_indices:  # For top 3 Sold\n",
    "        xytext_offset = (-80, -20)  # Left and down offset\n",
    "    else:  # For the rest\n",
    "        xytext_offset = (-80, 20)  # Left and up offset\n",
    "    \n",
    "    ax.annotate(\n",
    "        dfs['Name'].iloc[idx], \n",
    "        xy=(dfs['Fame'].iloc[idx], dfs['Sold'].iloc[idx]), \n",
    "        xytext=xytext_offset,  \n",
    "        textcoords='offset points',  \n",
    "        arrowprops=dict(arrowstyle=\"-\", lw=1, color='black'),  \n",
    "        fontsize=10, \n",
    "        fontname='Avenir'\n",
    "    )\n",
    "\n",
    "\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a74be2b3-23c5-4184-8f2a-f4d486fc1313",
   "metadata": {},
   "source": [
    "## Iftah Gabbai, 2024."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efbc92e5-90d2-4f11-8a85-acb601ee0f04",
   "metadata": {},
   "source": [
    "**[Instagram](https://www.instagram.com/iftah.gabbai/)**\n",
    "\n",
    "**[LinkedIn](https://www.linkedin.com/in/iftah-gabbai-4588a42b6/)**\n",
    "\n",
    "**[Youtube](https://www.youtube.com/@iftah_fow)**\n",
    "\n",
    "**[GitHub](https://github.com/iftah-og)**"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}