Day_20_Detailed_Crypto_Analysis.ipynb

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      "source": [
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing\n",
        "import seaborn as sns\n",
        "cmap = sns.color_palette()\n",
        "from matplotlib import pyplot as plt\n",
        "import plotly.express as px"
      ],
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      "source": [
        "### Load the data"
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      "source": [
        "df_crypto = pd.read_csv('https://github.com/raw/thunderstroke325/60-Days-of-Data-Science-and-ML/main/datasets/asset_details.csv',low_memory = False)\n",
        "df_crypto.info()"
      ],
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 14 entries, 0 to 13\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   Asset_ID    14 non-null     int64  \n",
            " 1   Weight      14 non-null     float64\n",
            " 2   Asset_Name  14 non-null     object \n",
            "dtypes: float64(1), int64(1), object(1)\n",
            "memory usage: 464.0+ bytes\n"
          ]
        }
      ]
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      "cell_type": "code",
      "source": [
        "df_crypto.describe()"
      ],
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              "       Asset_ID     Weight\n",
              "count   14.0000  14.000000\n",
              "mean     6.5000   2.919989\n",
              "std      4.1833   1.801957\n",
              "min      0.0000   1.098612\n",
              "25%      3.2500   1.655018\n",
              "50%      6.5000   2.238668\n",
              "75%      9.7500   4.116886\n",
              "max     13.0000   6.779922"
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        "# Weighted percentage\n",
        "df_crypto['Weight_Percentage'] = (df_crypto['Weight'] / df_crypto['Weight'].sum()) * 100\n",
        "df_crypto.sort_values('Weight',ascending = False)"
      ],
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          "data": {
            "text/plain": [
              "    Asset_ID    Weight        Asset_Name  Weight_Percentage\n",
              "2          1  6.779922           Bitcoin          16.584998\n",
              "5          6  5.894403          Ethereum          14.418848\n",
              "10         3  4.406719           Cardano          10.779686\n",
              "1          0  4.304065      Binance Coin          10.528574\n",
              "13         4  3.555348          Dogecoin           8.697068\n",
              "0          2  2.397895      Bitcoin Cash           5.865715\n",
              "6          9  2.397895          Litecoin           5.865715\n",
              "4          7  2.079442  Ethereum Classic           5.086716\n",
              "9         12  2.079442           Stellar           5.086716\n",
              "8         13  1.791759              TRON           4.382990\n",
              "7         11  1.609438            Monero           3.936996\n",
              "3          5  1.386294            EOS.IO           3.391144\n",
              "11         8  1.098612              IOTA           2.687418\n",
              "12        10  1.098612             Maker           2.687418"
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              "      <th>2</th>\n",
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              "      <th>6</th>\n",
              "      <td>9</td>\n",
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              "      <td>Litecoin</td>\n",
              "      <td>5.865715</td>\n",
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              "      <th>4</th>\n",
              "      <td>7</td>\n",
              "      <td>2.079442</td>\n",
              "      <td>Ethereum Classic</td>\n",
              "      <td>5.086716</td>\n",
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              "      <th>9</th>\n",
              "      <td>12</td>\n",
              "      <td>2.079442</td>\n",
              "      <td>Stellar</td>\n",
              "      <td>5.086716</td>\n",
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              "      <th>8</th>\n",
              "      <td>13</td>\n",
              "      <td>1.791759</td>\n",
              "      <td>TRON</td>\n",
              "      <td>4.382990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>11</td>\n",
              "      <td>1.609438</td>\n",
              "      <td>Monero</td>\n",
              "      <td>3.936996</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5</td>\n",
              "      <td>1.386294</td>\n",
              "      <td>EOS.IO</td>\n",
              "      <td>3.391144</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>8</td>\n",
              "      <td>1.098612</td>\n",
              "      <td>IOTA</td>\n",
              "      <td>2.687418</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10</td>\n",
              "      <td>1.098612</td>\n",
              "      <td>Maker</td>\n",
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        "# Percentage of each crypto\n",
        "p=px.pie( df_crypto, values=\"Weight_Percentage\", names = \"Asset_Name\",color_discrete_sequence=px.colors.sequential.RdBu )\n",
        "p.update_traces(textposition='inside', textinfo='percent+label')\n",
        "p.show()"
      ],
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    {
      "cell_type": "code",
      "source": [
        "p_one= px.bar(df_crypto,x=\"Asset_Name\",y=\"Weight\",color='Weight')\n",
        "p_one.show()"
      ],
      "metadata": {
        "id": "_0ouzD_z9WG4",
        "outputId": "8c1eb60d-84ad-49d7-ec80-d76ad1005ffa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "execution_count": 6,
      "outputs": [
        {
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