Lego_Exploration_DataCamp_Project.ipynb

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  "metadata": {
    "colab": {
      "name": "Lego Exploration - DataCamp Project ",
      "provenance": [],
      "authorship_tag": "ABX9TyP6ISZsnspWWPgzEv9AHTmv"
    },
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      "name": "python3",
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      "source": [
        "# Goal: Explore LEGO data over the years\n",
        "# Remix of DataCamp project without referencing documentation\n",
        "# Project: https://projects.datacamp.com/projects/10\n",
        "# Data: https://rebrickable.com/downloads/\n",
        "\n",
        "# Setup\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IOZRRnKdiE7e",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "outputId": "cce5a1a2-00a9-4084-84a4-f8bf797e4270"
      },
      "source": [
        "# How many colors are present?\n",
        "colors = pd.read_csv('colors.csv')\n",
        "colors.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>rgb</th>\n",
              "      <th>is_trans</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-1</td>\n",
              "      <td>[Unknown]</td>\n",
              "      <td>0033B2</td>\n",
              "      <td>f</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>Black</td>\n",
              "      <td>05131D</td>\n",
              "      <td>f</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>Blue</td>\n",
              "      <td>0055BF</td>\n",
              "      <td>f</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>Green</td>\n",
              "      <td>237841</td>\n",
              "      <td>f</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3</td>\n",
              "      <td>Dark Turquoise</td>\n",
              "      <td>008F9B</td>\n",
              "      <td>f</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id            name     rgb is_trans\n",
              "0  -1       [Unknown]  0033B2        f\n",
              "1   0           Black  05131D        f\n",
              "2   1            Blue  0055BF        f\n",
              "3   2           Green  237841        f\n",
              "4   3  Dark Turquoise  008F9B        f"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FoWc1SQLir2y",
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          "height": 52
        },
        "outputId": "fd0a8637-6bd9-4e9d-cce1-5aa95a87567a"
      },
      "source": [
        "print(f'The shape of the dataset is: {colors.shape}')\n",
        "print(f'Meaning the total number of colors is: {colors.shape[0]}')"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The shape of the dataset is: (182, 4)\n",
            "Meaning the total number of colors is: 182\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
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        "outputId": "b774bf17-0a16-4e1b-f461-1d582d4f3fea"
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      "source": [
        "# How many colors have transparency?\n",
        "colors.groupby('is_trans').count()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>rgb</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>is_trans</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>f</th>\n",
              "      <td>151</td>\n",
              "      <td>151</td>\n",
              "      <td>151</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>t</th>\n",
              "      <td>31</td>\n",
              "      <td>31</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "           id  name  rgb\n",
              "is_trans                \n",
              "f         151   151  151\n",
              "t          31    31   31"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eyvQ4sNvjazu",
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          "height": 198
        },
        "outputId": "ba30597f-c49a-496c-aa4e-a43bbaeba2d7"
      },
      "source": [
        "# How many LEGO sets are there per year?\n",
        "sets = pd.read_csv('sets.csv')\n",
        "sets.head()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>set_num</th>\n",
              "      <th>name</th>\n",
              "      <th>year</th>\n",
              "      <th>theme_id</th>\n",
              "      <th>num_parts</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>001-1</td>\n",
              "      <td>Gears</td>\n",
              "      <td>1965</td>\n",
              "      <td>1</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0011-2</td>\n",
              "      <td>Town Mini-Figures</td>\n",
              "      <td>1978</td>\n",
              "      <td>84</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0011-3</td>\n",
              "      <td>Castle 2 for 1 Bonus Offer</td>\n",
              "      <td>1987</td>\n",
              "      <td>199</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0012-1</td>\n",
              "      <td>Space Mini-Figures</td>\n",
              "      <td>1979</td>\n",
              "      <td>143</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0013-1</td>\n",
              "      <td>Space Mini-Figures</td>\n",
              "      <td>1979</td>\n",
              "      <td>143</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  set_num                        name  year  theme_id  num_parts\n",
              "0   001-1                       Gears  1965         1         43\n",
              "1  0011-2           Town Mini-Figures  1978        84         12\n",
              "2  0011-3  Castle 2 for 1 Bonus Offer  1987       199          2\n",
              "3  0012-1          Space Mini-Figures  1979       143         12\n",
              "4  0013-1          Space Mini-Figures  1979       143         12"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
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        "outputId": "eb6232a8-8508-45a4-993f-e1083057423c"
      },
      "source": [
        "sets_by_year = sets.groupby('year', as_index=False).count()\n",
        "sets_by_year.head()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>set_num</th>\n",
              "      <th>name</th>\n",
              "      <th>theme_id</th>\n",
              "      <th>num_parts</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1949</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1950</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1953</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1954</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1955</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   year  set_num  name  theme_id  num_parts\n",
              "0  1949        5     5         5          5\n",
              "1  1950        6     6         6          6\n",
              "2  1953        4     4         4          4\n",
              "3  1954       14    14        14         14\n",
              "4  1955       28    28        28         28"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_SsURLAuoNbb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        },
        "outputId": "0d5864f5-becc-4cff-e014-d3d66d3b9912"
      },
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "sns.lineplot(x='year', y='set_num', data=sets_by_year)\n",
        "plt.title('Number of LEGO Sets Per Year')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Number of Sets')"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Number of Sets')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vDE1ZG0dCX1JRzBWnLuDOJ+o41tHHvz1Uy4vXVHHJ2tGnqaWSaKFHVXIXERGZuvpRFpVJ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\nMHOsQf4AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vO0ZVJyJoXW9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# What is the average number of set parts per year?\n",
        "parts_per_year = sets.groupby(['year', 'num_parts'], as_index=False).mean()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rAvrelsvsNRq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "outputId": "ef35871c-9624-4a2b-eb61-213e4c033e3d"
      },
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "sns.lineplot(x='year', y='num_parts', data=parts_per_year)\n",
        "plt.title('Average Number of Parts per Set per Year')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Average Number of Parts per Set')"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Average Number of Parts per Set')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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YRcZpH6qUm2yrVC/u6K8Aa8iIiIiIurVc9DGR2VzQHxMIitX2hf2L+UptUQAzZERERERd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\nLLP/AYrUTsb2LUKFAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gpwf1d9OsXBC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        },
        "outputId": "93e5ac99-baba-461c-e350-47ea7a349ab2"
      },
      "source": [
        "# How many themes are there?\n",
        "themes = pd.read_csv('themes.csv')\n",
        "display(themes.head())\n",
        "print(f'There are a total of {len(themes)} themes')"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>parent_id</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Technic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Arctic Technic</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Competition</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Expert Builder</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Model</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id            name  parent_id\n",
              "0   1         Technic        NaN\n",
              "1   2  Arctic Technic        1.0\n",
              "2   3     Competition        1.0\n",
              "3   4  Expert Builder        1.0\n",
              "4   5           Model        1.0"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "There are a total of 653 themes\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}