diff --git a/ejemplos-jupyter/ejemplo-Spotify-sinTerminar/ejemplo_spotify_sinterminar.ipynb b/ejemplos-jupyter/ejemplo-Spotify-sinTerminar/ejemplo_spotify_sinterminar.ipynb
index 775b347c2bf472c6167600ad65de1f796f9e2531..7877ad149e96f81bd8c7baf4d52e7e55b6d58411 100644
--- a/ejemplos-jupyter/ejemplo-Spotify-sinTerminar/ejemplo_spotify_sinterminar.ipynb
+++ b/ejemplos-jupyter/ejemplo-Spotify-sinTerminar/ejemplo_spotify_sinterminar.ipynb
@@ -2,10 +2,34 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "fd0da6f0",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.14.0.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/html": [
@@ -40,9 +64,25 @@
     "cf.set_config_file(sharing='public',theme='white',offline=True)\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b0f8a850",
+   "metadata": {},
+   "source": [
+    "# En este ejemplo trabajaremos con un dataset que contiene el Top 100 de Spotify de cada año entre 2010 y 2019. El objetivo es profundizar en las facilidades que nos brinda la herrramienta plotly a la hora de realizar algunos graficos."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99b31e8c",
+   "metadata": {},
+   "source": [
+    " Primero, abrimos el dataset y borramos las filas con valor NaN (filas vacias)."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "ab2740b5",
    "metadata": {},
    "outputs": [
@@ -355,7 +395,7 @@
        "[1000 rows x 17 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -371,7 +411,7 @@
    "id": "1baf7758",
    "metadata": {},
    "source": [
-    "# Cantidad de canciones en el Top 100 de cada año entre  2010 a 2019 por artista"
+    "# Primer grafico: Cantidad de canciones en el Top 100 de cada año entre  2010 a 2019 por artista"
    ]
   },
   {
@@ -384,7 +424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 3,
    "id": "1cc45459",
    "metadata": {},
    "outputs": [
@@ -491,14 +531,13 @@
        "[444 rows x 2 columns]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "por_artista = df['artist'].value_counts().rename_axis('Artista').reset_index(name='Canciones')\n",
-    "por_artista.style.hide(axis='index') \n",
+    "por_artista = df['artist'].value_counts().rename_axis('Artista').reset_index(name='Canciones') \n",
     "por_artista\n",
     "\n"
    ]
@@ -514,7 +553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "id": "5957e761",
    "metadata": {
     "scrolled": true
@@ -12925,9 +12964,9 @@
        }
       },
       "text/html": [
-       "<div>                            <div id=\"34967536-d4c4-4bb5-bb10-f2c3cee6e718\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"34967536-d4c4-4bb5-bb10-f2c3cee6e718\")) {                    Plotly.newPlot(                        \"34967536-d4c4-4bb5-bb10-f2c3cee6e718\",                        [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Taylor Swift\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Taylor Swift\",\"offsetgroup\":\"Taylor Swift\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Taylor Swift\"],\"xaxis\":\"x\",\"y\":[21],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Drake\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Drake\",\"offsetgroup\":\"Drake\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Drake\"],\"xaxis\":\"x\",\"y\":[18],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Calvin Harris\",\"marker\":{\"color\":\"#00cc96\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Calvin Harris\",\"offsetgroup\":\"Calvin Harris\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Calvin Harris\"],\"xaxis\":\"x\",\"y\":[18],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Rihanna\",\"marker\":{\"color\":\"#ab63fa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Rihanna\",\"offsetgroup\":\"Rihanna\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Rihanna\"],\"xaxis\":\"x\",\"y\":[14],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Ariana Grande\",\"marker\":{\"color\":\"#FFA15A\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Ariana Grande\",\"offsetgroup\":\"Ariana Grande\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Ariana Grande\"],\"xaxis\":\"x\",\"y\":[14],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Bruno Mars\",\"marker\":{\"color\":\"#19d3f3\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Bruno Mars\",\"offsetgroup\":\"Bruno Mars\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Bruno Mars\"],\"xaxis\":\"x\",\"y\":[13],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Maroon 5\",\"marker\":{\"color\":\"#FF6692\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Maroon 5\",\"offsetgroup\":\"Maroon 5\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Maroon 5\"],\"xaxis\":\"x\",\"y\":[11],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Post Malone\",\"marker\":{\"color\":\"#B6E880\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Post Malone\",\"offsetgroup\":\"Post Malone\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Post 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Brown\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Chris Brown\",\"offsetgroup\":\"Chris Brown\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Chris Brown\"],\"xaxis\":\"x\",\"y\":[10],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"One Direction\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"One Direction\",\"offsetgroup\":\"One Direction\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"One Direction\"],\"xaxis\":\"x\",\"y\":[9],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"David Guetta\",\"marker\":{\"color\":\"#00cc96\",\"pattern\":{\"shape\":\"\"}},\"name\":\"David Guetta\",\"offsetgroup\":\"David Guetta\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"David Guetta\"],\"xaxis\":\"x\",\"y\":[9],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Katy Perry\",\"marker\":{\"color\":\"#ab63fa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Katy Perry\",\"offsetgroup\":\"Katy Perry\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Katy Perry\"],\"xaxis\":\"x\",\"y\":[9],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Artista=%{x}<br>Canciones=%{y}<extra></extra>\",\"legendgroup\":\"Kendrick Lamar\",\"marker\":{\"color\":\"#FFA15A\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Kendrick Lamar\",\"offsetgroup\":\"Kendrick Lamar\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Kendrick 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Genasis\",\"Kid Ink\",\"Mr. Probz\",\"MKTO\",\"Milky Chance\",\"Lilly Wood and The Prick\",\"Klingande\",\"Kiesza\",\"Gorgon City\",\"American Authors\",\"G.R.L.\",\"Echosmith\",\"Cold War Kids\",\"Charli XCX\",\"Bobby Shmurda\",\"Becky G\",\"Young Thug\"]},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Canciones\"}},\"legend\":{\"title\":{\"text\":\"Artista\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('34967536-d4c4-4bb5-bb10-f2c3cee6e718');\n",
+       "var gd = document.getElementById('751b3ebe-9b37-460f-9388-84e9da5c53fa');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -12971,7 +13010,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 5,
    "id": "db009296",
    "metadata": {},
    "outputs": [
@@ -13225,21 +13264,21 @@
        "35          Flo Rida          6"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "por_artista_men = df['artist'].value_counts()[df['artist'].value_counts() > 5].rename_axis('Artista').reset_index(name='Canciones')\n",
+    "por_artista_mas5 = df['artist'].value_counts()[df['artist'].value_counts() > 5].rename_axis('Artista').reset_index(name='Canciones')\n",
     "#por_artista.style.hide(axis='index') \n",
-    "por_artista_men \n",
+    "por_artista_mas5 \n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 6,
    "id": "ad06eb3d",
    "metadata": {},
    "outputs": [
@@ -15040,9 +15079,9 @@
        }
       },
       "text/html": [
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        "                            \n",
-       "var gd = document.getElementById('0462b012-7bb3-41e9-abb4-b096a297698b');\n",
+       "var gd = document.getElementById('521cce07-4363-41e6-8668-82502578a6b0');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -15072,265 +15111,22 @@
     }
    ],
    "source": [
-    "grafico=px.bar(por_artista_men, x='Artista', y='Canciones', color='Artista')\n",
+    "grafico=px.bar(por_artista_mas5, x='Artista', y='Canciones', color='Artista')\n",
     "grafico.show()\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "cb3cb8a3",
+   "id": "f100817b",
    "metadata": {},
    "source": [
-    "# Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por artista¶"
+    "Tambien, nos podria interesar solo ver la cantidad de canciones en el top pero de artistas que son duos."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "id": "ac68a8e6",
-   "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>Genero</th>\n",
-       "      <th>Canciones</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>dance pop</td>\n",
-       "      <td>361</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>pop</td>\n",
-       "      <td>57</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>atl hip hop</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>art pop</td>\n",
-       "      <td>37</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>hip hop</td>\n",
-       "      <td>21</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>boy band</td>\n",
-       "      <td>21</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>canadian hip hop</td>\n",
-       "      <td>18</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>edm</td>\n",
-       "      <td>17</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>folk-pop</td>\n",
-       "      <td>15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>conscious hip hop</td>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>contemporary country</td>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>barbadian pop</td>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>big room</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>chicago rap</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>canadian pop</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>modern rock</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>modern alternative rock</td>\n",
-       "      <td>12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>latin</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>dfw rap</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>canadian contemporary r&amp;b</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>melodic rap</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>emo rap</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>permanent wave</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>brostep</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>british soul</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>alt z</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>detroit hip hop</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>pop rap</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>electropop</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>gangster rap</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>australian dance</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>31</th>\n",
-       "      <td>grime</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
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-       "                       Genero  Canciones\n",
-       "0                   dance pop        361\n",
-       "1                         pop         57\n",
-       "2                 atl hip hop         39\n",
-       "3                     art pop         37\n",
-       "4                     hip hop         21\n",
-       "5                    boy band         21\n",
-       "6            canadian hip hop         18\n",
-       "7                         edm         17\n",
-       "8                    folk-pop         15\n",
-       "9           conscious hip hop         14\n",
-       "10       contemporary country         14\n",
-       "11              barbadian pop         14\n",
-       "12                   big room         13\n",
-       "13                chicago rap         13\n",
-       "14               canadian pop         13\n",
-       "15                modern rock         13\n",
-       "16    modern alternative rock         12\n",
-       "17                      latin         10\n",
-       "18                    dfw rap         10\n",
-       "19  canadian contemporary r&b         10\n",
-       "20                melodic rap          8\n",
-       "21                    emo rap          8\n",
-       "22             permanent wave          8\n",
-       "23                    brostep          8\n",
-       "24               british soul          8\n",
-       "25                      alt z          8\n",
-       "26            detroit hip hop          8\n",
-       "27                    pop rap          7\n",
-       "28                 electropop          7\n",
-       "29               gangster rap          6\n",
-       "30           australian dance          6\n",
-       "31                      grime          6"
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-     },
-     "execution_count": 34,
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        "                            \n",
-       "var gd = document.getElementById('011406b0-c69e-444b-b16e-dc1d0ed05f01');\n",
+       "var gd = document.getElementById('607476d2-561c-412e-b569-798325ecf75c');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
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@@ -16462,67 +16178,372 @@
     }
    ],
    "source": [
-    "por_genero.iplot(kind='pie', labels='Genero', values='Canciones')"
+    "df_duo=df[df['artist type']=='Duo']\n",
+    "por_artista_duo = df_duo['artist'].value_counts()[df_duo['artist'].value_counts() > 2].rename_axis('Artista').reset_index(name='Canciones')\n",
+    "\n",
+    "\n",
+    "grafico=px.bar(por_artista_duo, x='Artista', y='Canciones', color='Artista')\n",
+    "grafico.show()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "920fd4a7",
+   "id": "cb3cb8a3",
    "metadata": {},
    "source": [
-    "# Cantidad de canciones en el Top 100 del año 2018 por genero de los 3 generos mas populares¶"
+    "# Segundo grafico: Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero¶"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "id": "8a8e214e",
+   "execution_count": 8,
+   "id": "ac68a8e6",
    "metadata": {},
    "outputs": [
     {
      "data": {
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-        "legend": {
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-        },
-        "template": {
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+      "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>Genero</th>\n",
+       "      <th>Canciones</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>dance pop</td>\n",
+       "      <td>361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>pop</td>\n",
+       "      <td>57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>atl hip hop</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>art pop</td>\n",
+       "      <td>37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>hip hop</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>boy band</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>canadian hip hop</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>edm</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>folk-pop</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>conscious hip hop</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>contemporary country</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>barbadian pop</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>big room</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>chicago rap</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>canadian pop</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>modern rock</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>modern alternative rock</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>latin</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>dfw rap</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>canadian contemporary r&amp;b</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>melodic rap</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>emo rap</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>permanent wave</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>brostep</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>british soul</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>alt z</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>detroit hip hop</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>pop rap</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>electropop</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>gangster rap</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>australian dance</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>grime</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Genero  Canciones\n",
+       "0                   dance pop        361\n",
+       "1                         pop         57\n",
+       "2                 atl hip hop         39\n",
+       "3                     art pop         37\n",
+       "4                     hip hop         21\n",
+       "5                    boy band         21\n",
+       "6            canadian hip hop         18\n",
+       "7                         edm         17\n",
+       "8                    folk-pop         15\n",
+       "9           conscious hip hop         14\n",
+       "10       contemporary country         14\n",
+       "11              barbadian pop         14\n",
+       "12                   big room         13\n",
+       "13                chicago rap         13\n",
+       "14               canadian pop         13\n",
+       "15                modern rock         13\n",
+       "16    modern alternative rock         12\n",
+       "17                      latin         10\n",
+       "18                    dfw rap         10\n",
+       "19  canadian contemporary r&b         10\n",
+       "20                melodic rap          8\n",
+       "21                    emo rap          8\n",
+       "22             permanent wave          8\n",
+       "23                    brostep          8\n",
+       "24               british soul          8\n",
+       "25                      alt z          8\n",
+       "26            detroit hip hop          8\n",
+       "27                    pop rap          7\n",
+       "28                 electropop          7\n",
+       "29               gangster rap          6\n",
+       "30           australian dance          6\n",
+       "31                      grime          6"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "por_genero=df['top genre'].value_counts()[df['top genre'].value_counts() > 5].rename_axis('Genero').reset_index(name='Canciones') \n",
+    "por_genero"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c1ac8906",
+   "metadata": {},
+   "outputs": [
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@@ -17335,16 +17356,192 @@
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-        },
-        "width": 1000
+        "title": {
+         "text": "Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero"
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+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "torta = px.pie(por_genero, values='Canciones', names='Genero', title='Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero', width=1000, height=1800)\n",
+    "torta.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "872f02d9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+        "plotlyServerURL": "https://plot.ly",
+        "showLink": true
+       },
+       "data": [
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+         "labels": [
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+          "pop",
+          "atl hip hop",
+          "art pop",
+          "hip hop",
+          "boy band",
+          "canadian hip hop",
+          "edm",
+          "folk-pop",
+          "conscious hip hop",
+          "contemporary country",
+          "barbadian pop",
+          "big room",
+          "chicago rap",
+          "canadian pop",
+          "modern rock",
+          "modern alternative rock",
+          "latin",
+          "dfw rap",
+          "canadian contemporary r&b",
+          "melodic rap",
+          "emo rap",
+          "permanent wave",
+          "brostep",
+          "british soul",
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+          "gangster rap",
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+       "layout": {
+        "legend": {
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+        "paper_bgcolor": "#FFFFFF",
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+        "titlefont": {
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        "                            \n",
-       "var gd = document.getElementById('1db40ac4-6a3e-466d-a4d3-f10f1cb608f1');\n",
+       "var gd = document.getElementById('011406b0-c69e-444b-b16e-dc1d0ed05f01');\n",
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@@ -17374,44 +17571,23 @@
     }
    ],
    "source": [
-    "por_genero2018 = df[df['top year'] == 2018]\n",
-    "por_genero2018 = df['top genre'].value_counts().rename_axis('Genero').reset_index(name='Canciones')\n",
-    "por_genero2018.style.hide(axis='index') \n",
-    "por_genero2018_top3 = por_genero2018.head(3)\n",
-    "\n",
-    "torta = px.pie(por_genero2018_top3, values='Canciones', names='Genero', title='Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero de los 3 generos mas populares', width=1000, height=800)\n",
-    "torta.show()"
+    "por_genero.iplot(kind='pie', labels='Genero', values='Canciones')"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "a3abb7ed",
+   "id": "920fd4a7",
    "metadata": {},
    "source": [
-    "# Cantidad de canciones en el top 100  por año de Taylor Swift"
+    "# Tercer grafico: Cantidad de canciones en el Top 100 del año 2018 por genero de los 3 generos mas populares¶"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "id": "4c7bc0d4",
+   "execution_count": 10,
+   "id": "8a8e214e",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "      Año  Cantidad de canciones en el top 100\n",
-      "0  2010.0                                    3\n",
-      "1  2012.0                                    2\n",
-      "2  2013.0                                    3\n",
-      "3  2014.0                                    3\n",
-      "4  2015.0                                    4\n",
-      "5  2017.0                                    2\n",
-      "6  2018.0                                    1\n",
-      "7  2019.0                                    3\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.plotly.v1+json": {
@@ -17420,45 +17596,35 @@
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-         "legendgroup": "",
-         "line": {
-          "color": "#636efa",
-          "dash": "solid"
-         },
-         "marker": {
-          "symbol": "circle"
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
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          },
-         "mode": "lines",
-         "name": "",
-         "orientation": "v",
-         "showlegend": false,
-         "type": "scatter",
-         "x": [
-          2010,
-          2012,
-          2013,
-          2014,
-          2015,
-          2017,
-          2018,
-          2019
-         ],
-         "xaxis": "x",
-         "y": [
-          3,
-          2,
-          3,
-          3,
-          4,
-          2,
-          1,
-          3
+         "hovertemplate": "Genero=%{label}<br>Canciones=%{value}<extra></extra>",
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+          "dance pop",
+          "pop",
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-         "yaxis": "y"
+         "legendgroup": "",
+         "name": "",
+         "showlegend": true,
+         "type": "pie",
+         "values": [
+          361,
+          57,
+          39
+         ]
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        ],
        "layout": {
+        "height": 800,
         "legend": {
          "tracegroupgap": 0
         },
@@ -18279,34 +18445,15 @@
          }
         },
         "title": {
-         "text": "Cantidad de canciones en el top 100  por año de Taylor Swift"
-        },
-        "xaxis": {
-         "anchor": "y",
-         "domain": [
-          0,
-          1
-         ],
-         "title": {
-          "text": "Año"
-         }
+         "text": "Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero de los 3 generos mas populares"
         },
-        "yaxis": {
-         "anchor": "x",
-         "domain": [
-          0,
-          1
-         ],
-         "title": {
-          "text": "Cantidad de canciones en el top 100"
-         }
-        }
+        "width": 1000
        }
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+     "metadata": {},
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+   "source": [
+    "por_genero2018 = df[df['top year'] == 2018] #nos quedamos solo con las filas del año 2018\n",
+    "por_genero2018 = df['top genre'].value_counts().rename_axis('Genero').reset_index(name='Canciones') #contamos los valores de cada genero\n",
+    "por_genero2018_top3 = por_genero2018.head(3) #nos quedamos con los 3 primeros\n",
+    "\n",
+    "torta = px.pie(por_genero2018_top3, values='Canciones', names='Genero', title='Cantidad de canciones en el Top 100 de cada año entre 2010 a 2019 por genero de los 3 generos mas populares', width=1000, height=800)\n",
+    "torta.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3abb7ed",
+   "metadata": {},
+   "source": [
+    "# Cuarto grafico: Cantidad de canciones en el top 100  por año de Taylor Swift"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "df036483",
+   "metadata": {},
+   "source": [
+    "Primero, debemos seleccionar la informacion que nos interesa para hacer este grafico. Por lo que primero, solo nos quedaremos con las filas en las que Taylor Swift sea el artista, y las guardaremos en un nuevo dataframe.\n",
+    "Luego, solo nos interesa el año top de la cancion, por lo que solo nos quedaremos con esa columna."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "82ec95dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>top year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>2010.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>2010.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80</th>\n",
+       "      <td>2010.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>287</th>\n",
+       "      <td>2012.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>288</th>\n",
+       "      <td>2012.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>387</th>\n",
+       "      <td>2013.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>388</th>\n",
+       "      <td>2013.0</td>\n",
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+       "    <tr>\n",
+       "      <th>389</th>\n",
+       "      <td>2013.0</td>\n",
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+       "      <th>488</th>\n",
+       "      <td>2014.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>577</th>\n",
+       "      <td>2015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>578</th>\n",
+       "      <td>2015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>579</th>\n",
+       "      <td>2015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>580</th>\n",
+       "      <td>2015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>786</th>\n",
+       "      <td>2017.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>787</th>\n",
+       "      <td>2017.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>884</th>\n",
+       "      <td>2018.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>992</th>\n",
+       "      <td>2019.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>993</th>\n",
+       "      <td>2019.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>994</th>\n",
+       "      <td>2019.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     top year\n",
+       "78     2010.0\n",
+       "79     2010.0\n",
+       "80     2010.0\n",
+       "287    2012.0\n",
+       "288    2012.0\n",
+       "387    2013.0\n",
+       "388    2013.0\n",
+       "389    2013.0\n",
+       "486    2014.0\n",
+       "487    2014.0\n",
+       "488    2014.0\n",
+       "577    2015.0\n",
+       "578    2015.0\n",
+       "579    2015.0\n",
+       "580    2015.0\n",
+       "786    2017.0\n",
+       "787    2017.0\n",
+       "884    2018.0\n",
+       "992    2019.0\n",
+       "993    2019.0\n",
+       "994    2019.0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_100_taylor = df[df['artist'] == 'Taylor Swift'] #nos quedamos solo con las filas que tengan como artista a Taylor Swift\n",
+    "\n",
+    "top_100_taylor = top_100_taylor[['top year']] #solo nos interesa el año top de la cancion\n",
+    "top_100_taylor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4396556b",
+   "metadata": {},
+   "source": [
+    "Luego, agruparemos las canciones por año top, y modificaremos el encabezado del nuevo dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b76225e5",
+   "metadata": {},
+   "outputs": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Año</th>\n",
+       "      <th>Cantidad de canciones en el top 100</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>3</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2012.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2013.0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2014.0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Año  Cantidad de canciones en el top 100\n",
+       "0  2010.0                                    3\n",
+       "1  2012.0                                    2\n",
+       "2  2013.0                                    3\n",
+       "3  2014.0                                    3\n",
+       "4  2015.0                                    4\n",
+       "5  2017.0                                    2\n",
+       "6  2018.0                                    1\n",
+       "7  2019.0                                    3"
       ]
      },
+     "execution_count": 17,
      "metadata": {},
-     "output_type": "display_data"
-    },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "agrupado = top_100_taylor.groupby(['top year']).size().reset_index(name='Cantidad de canciones') #agrupamos las canciones por año\n",
+    "agrupado.columns = ['Año', 'Cantidad de canciones en el top 100'] #asignamos el nombre de las columnas del nuevo df\n",
+    "agrupado"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "62b9165f",
+   "metadata": {},
+   "source": [
+    "Como podemos observar, en los años 2011 y 2016, Taylor no tuvo ningun tema en el top, por lo que Pandas no tiene en cuenta esos años. Por lo tanto, el grafico nos quedaria asi:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "a6c5c5d6",
+   "metadata": {},
+   "outputs": [
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        "                            \n",
-       "var gd = document.getElementById('da71d26b-2cd1-48e2-8ff3-381a83b0d572');\n",
+       "var gd = document.getElementById('21cdc394-c52b-47c3-81f3-9537d5d1fc77');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -19302,26 +19709,43 @@
     }
    ],
    "source": [
-    "top_100_taylor = df[df['artist'] == 'Taylor Swift']\n",
-    "\n",
-    "top_100_taylor = top_100_taylor[['top year']]\n",
-    "\n",
-    "\n",
-    "agrupado = top_100_taylor.groupby(['top year']).size().reset_index(name='Cantidad de canciones')\n",
-    "agrupado.columns = ['Año', 'Cantidad de canciones en el top 100']\n",
-    "print (agrupado)\n",
-    "\n",
     "taylor_grafico=px.line(agrupado, x='Año', y='Cantidad de canciones en el top 100', title='Cantidad de canciones en el top 100  por año de Taylor Swift')\n",
-    "taylor_grafico.show()\n",
-    "\n",
-    "\n",
-    "agrupado.iplot(kind='line')\n"
+    "taylor_grafico.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e13f3102",
+   "metadata": {},
+   "source": [
+    "A pesar de que si pasamos por encima del 2011, vamos a ver que no hay informacion de dicho año, deberiamos representar el grafico de una manera mejor.\n",
+    "Lo que podemos hacer para que la representacion sea mas fiel, es agregar las dos filas que faltan."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "b7ee892f",
+   "execution_count": 20,
+   "id": "1fcc58a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "agrupado=agrupado.append({'Año' : 2011 , 'Cantidad de canciones en el top 100' : 0}, ignore_index=True) #agregamos las dos filas donde Taylor no tuvo ningun tema\n",
+    "agrupado=agrupado.append({'Año' : 2016 , 'Cantidad de canciones en el top 100' : 0}, ignore_index=True)\n",
+    "agrupado=agrupado.sort_values('Año') #ordenamos el df por año"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5f800dc",
+   "metadata": {},
+   "source": [
+    "Ahora, el grafico nos quedaria de la siguiente forma"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4c7bc0d4",
    "metadata": {},
    "outputs": [
     {
@@ -19360,16 +19784,16 @@
          ],
          "xaxis": "x",
          "y": [
-          4,
-          4,
-          4,
-          4,
-          9,
-          5,
           3,
-          10,
+          0,
+          2,
           3,
-          11
+          3,
+          4,
+          0,
+          2,
+          1,
+          3
          ],
          "yaxis": "y"
         }
@@ -20220,9 +20644,9 @@
        }
       },
       "text/html": [
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de canciones en el top 100\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Cantidad de canciones en el top 100  por a\\u00f1o de Taylor Swift\"}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('a6bcad0f-df7e-4495-a898-8b3933949a3c');\n",
+       "var gd = document.getElementById('8b2ec537-f0d6-49d1-bfc4-e5a601257109');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -20251,6 +20675,37 @@
      "output_type": "display_data"
     }
    ],
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "taylor_grafico=px.line(agrupado, x='Año', y='Cantidad de canciones en el top 100', title='Cantidad de canciones en el top 100  por año de Taylor Swift')\n",
+    "taylor_grafico.show()\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a661e4b3",
+   "metadata": {},
+   "source": [
+    "# Quinto grafico: Cantidad de canciones en el top 100 de Pop por año"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d640e50",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "top_100_pop=df[df['top genre'] == 'pop']\n",
     "\n",
@@ -20260,933 +20715,2102 @@
     "agrupado=top_100_pop.groupby(['top year']).size().reset_index(name='Cantidad de canciones')\n",
     "agrupado.columns=['Año', 'Cantidad de canciones en el top 100']\n",
     "\n",
-    "taylor_grafico=px.line(agrupado, x='Año', y='Cantidad de canciones en el top 100', title='Cantidad de canciones en el top 100  por año de Taylor Swift')\n",
-    "taylor_grafico.show()\n",
+    "grafico=px.line(agrupado, x='Año', y='Cantidad de canciones en el top 100', title='Cantidad de canciones en el top 100 de Pop por año')\n",
+    "grafico.show()\n",
     "\n",
     "#otra forma de hacer el mismo grafico\n",
     "#agrupado.iplot(kind='line')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "68eec81f",
+   "metadata": {},
+   "source": [
+    "# Sexto grafico: Comparacion entre las canciones de Pop y las canciones de Dance Pop que estuvieron en el top 100 por año"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "26751dc2",
+   "metadata": {},
+   "source": [
+    "Para este grafico, vamos a usar una herramienta de plotly, que nos permitira hacer graficos mas complejos. A esta herramienta la llamaremos Go. \n",
+    "\n",
+    "Antes de arrancar, debemos importar esta nueva herramienta de la libreria de Plotly"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "6031e33f",
+   "execution_count": 24,
+   "id": "b7864ee4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import plotly.graph_objects as go"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d15af78b",
+   "metadata": {},
+   "source": [
+    "Para empezar, generaremos un dataframe a partir de las canciones que sean de genero pop o dance pop. \n",
+    "De este dataframe, nos interesa solamente el genero, y el año top."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "b8da69b7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "top_100_comparacion=df[(df['top genre'] == 'pop') | (df['top genre'] == 'dance pop')]\n",
+    "\n",
+    "top_100_comparacion=top_100_comparacion[['top genre','top year']]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "be1e741d",
+   "metadata": {},
+   "source": [
+    "Ahora, definiremos los años que queremos representar en el grafico"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "f7b05ae9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([2010., 2011., 2012., 2013., 2014., 2015., 2016., 2017., 2018.,\n",
+       "       2019.])"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anos=top_100_comparacion['top year'].unique()\n",
+    "anos"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19c56f8a",
+   "metadata": {},
+   "source": [
+    "Luego, agruparemos las canciones, para luego separarlas en dos nuevos dataframes: el de las canciones pop y el de las canciones dance pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "358086db",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "    top year top genre  Cantidad de canciones\n",
+      "1     2010.0       pop                      4\n",
+      "3     2011.0       pop                      4\n",
+      "5     2012.0       pop                      4\n",
+      "7     2013.0       pop                      4\n",
+      "9     2014.0       pop                      9\n",
+      "11    2015.0       pop                      5\n",
+      "13    2016.0       pop                      3\n",
+      "15    2017.0       pop                     10\n",
+      "17    2018.0       pop                      3\n",
+      "19    2019.0       pop                     11\n",
       "    top year  top genre  Cantidad de canciones\n",
       "0     2010.0  dance pop                     42\n",
-      "1     2010.0        pop                      4\n",
       "2     2011.0  dance pop                     45\n",
-      "3     2011.0        pop                      4\n",
       "4     2012.0  dance pop                     37\n",
-      "5     2012.0        pop                      4\n",
       "6     2013.0  dance pop                     37\n",
-      "7     2013.0        pop                      4\n",
       "8     2014.0  dance pop                     39\n",
-      "9     2014.0        pop                      9\n",
       "10    2015.0  dance pop                     38\n",
-      "11    2015.0        pop                      5\n",
       "12    2016.0  dance pop                     48\n",
-      "13    2016.0        pop                      3\n",
       "14    2017.0  dance pop                     25\n",
-      "15    2017.0        pop                     10\n",
       "16    2018.0  dance pop                     28\n",
-      "17    2018.0        pop                      3\n",
-      "18    2019.0  dance pop                     22\n",
-      "19    2019.0        pop                     11\n"
+      "18    2019.0  dance pop                     22\n"
      ]
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "marker": {
-          "color": "indianred"
-         },
-         "name": "Primary Product",
-         "type": "bar",
-         "x": [
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2010,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
-          2011,
+    }
+   ],
+   "source": [
+    "agrupado=top_100_comparacion.groupby(['top year', 'top genre']).size().reset_index(name='Cantidad de canciones')\n",
+    "df_pop=agrupado[agrupado['top genre']== 'pop']\n",
+    "print(df_pop)\n",
+    "df_dance=agrupado[agrupado['top genre']== 'dance pop']\n",
+    "print(df_dance)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7875da29",
+   "metadata": {},
+   "source": [
+    "Comencemos a usar la nueva herramienta. Primero, vamos a crear una figura"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "38b21f02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = go.Figure()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3cdbf218",
+   "metadata": {},
+   "source": [
+    "Ahora, a esta figura vamos a agregarle la informacion de los dos dataframes que queremos representar. Primero agregaremos la del dataframe de Pop. El valor de x van a ser los años y el valor de y seran la cantidad de canciones en el top por año. Ademas, podemos elegir el color"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "ae857607",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "marker": {
+          "color": "blue"
+         },
+         "name": "Pop",
+         "type": "bar",
+         "x": [
+          2010,
           2011,
           2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2012,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
           2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2013,
-          2014,
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-          2014,
-          2014,
-          2014,
-          2014,
-          2014,
-          2014,
           2014,
+          2015,
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig.add_trace(go.Bar(\n",
+    "    x=anos,\n",
+    "    y=df_pop['Cantidad de canciones'],\n",
+    "    name='Pop',\n",
+    "    marker_color='blue'\n",
+    "))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "082efd9c",
+   "metadata": {},
+   "source": [
+    "Haremos lo mismo con el dataframe de Dance Pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "c04400f8",
+   "metadata": {},
+   "outputs": [
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "fig.add_trace(go.Bar(\n",
+    "    x=anos,\n",
+    "    y=df_dance['Cantidad de canciones'],\n",
+    "    name='Dance Pop',\n",
+    "    marker_color='Red'\n",
+    "))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8868920",
+   "metadata": {},
+   "source": [
+    "Finalmente, creamos la nueva figura."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "6031e33f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
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                       {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('82cb5682-0801-46b4-bdfc-dff1f53e0094');\n",
+       "var gd = document.getElementById('8f35031b-a81c-4ee5-b96a-25b12024752d');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -22046,31 +23670,8 @@
     }
    ],
    "source": [
-    "import plotly.graph_objects as go\n",
-    "\n",
-    "\n",
-    "top_100_pop=df[(df['top genre'] == 'pop') | (df['top genre'] == 'dance pop')]\n",
-    "\n",
-    "top_100_pop=top_100_pop[['top genre','top year']]\n",
     "\n",
     "\n",
-    "agrupado=top_100_pop.groupby(['top year', 'top genre']).size().reset_index(name='Cantidad de canciones')\n",
-    "print (agrupado)\n",
-    "\n",
-    "fig = go.Figure()\n",
-    "fig.add_trace(go.Bar(\n",
-    "    x=top_100_pop['top year'],\n",
-    "    y=[20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17],\n",
-    "    name='Primary Product',\n",
-    "    marker_color='indianred'\n",
-    "))\n",
-    "fig.add_trace(go.Bar(\n",
-    "    x=top_100_pop['top year'],\n",
-    "    y=[19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16],\n",
-    "    name='Secondary Product',\n",
-    "    marker_color='lightsalmon'\n",
-    "))\n",
-    "\n",
     "# Here we modify the tickangle of the xaxis, resulting in rotated labels.\n",
     "fig.update_layout(barmode='group', xaxis_tickangle=-45)\n",
     "fig.show()\n",
@@ -22102,7 +23703,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,