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LCPallares/amazon-bestsellers-scraper.py

Last active August 5, 2024 22:40
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analyst_amazon_bestsellers
Raw
amazon-bestsellers-scraper.py
import requests
from bs4 import BeautifulSoup
import csv
from datetime import datetime
def scrape_amazon_bestsellers():
url = "https://www.amazon.com/best-sellers-books-Amazon/zgbs/books/"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
}
response = requests.get(url, headers=headers)
'''
with open('amazon-bestsellers-scraper.html', 'r') as file:
html = file.read()
soup = BeautifulSoup(html, 'html.parser')
'''
soup = BeautifulSoup(requests.content, 'html.parser')
books = []
for item in soup.find_all("div", id="gridItemRoot"):
rank = item.find("span", class_="zg-bdg-text").text.strip().replace("#", "")
title = item.find_all("a", class_="a-link-normal")[1].text.strip()
author = item.find("div", class_="a-row a-size-small").text.strip()
score = item.find("span", class_="a-icon-alt")
score = score.text.split(" ")[0] if score else "0.0"
price = item.find("span", class_="_cDEzb_p13n-sc-price_3mJ9Z")
price = price.text[1:] if price else "0.0"
type_cover = item.find("span", class_="a-size-small a-color-secondary a-text-normal").text
numbers_reviews = item.find("span", class_="a-size-small").text.replace(",", "")
numbers_reviews = int(numbers_reviews) if numbers_reviews.isdigit() else 0
books.append({
"rank": rank,
"title": title,
"author": author,
"price": float(price),
"score": float(score),
"type_cover": type_cover,
"numbers_reviews": numbers_reviews,
"date_scraped": datetime.now().strftime("%Y-%m-%d")
})
print(books)
return books
def save_to_csv(books, filename):
keys = books[0].keys()
with open(filename, 'w', newline='', encoding='utf-8') as output_file:
dict_writer = csv.DictWriter(output_file, keys)
dict_writer.writeheader()
dict_writer.writerows(books)
if __name__ == "__main__":
bestsellers = scrape_amazon_bestsellers()
save_to_csv(bestsellers, "amazon_bestsellers.csv")
print(f"Scraped {len(bestsellers)} books and saved to amazon_bestsellers.csv")
Display the source blob
Display the rendered blob
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analyst_amazon_bestsellers.ipynb
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"# Cargar los datos\n",
"df = pd.read_csv('amazon_bestsellers.csv')\n"
],
"outputs": [],
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{
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"df['date_scraped'] = pd.to_datetime(df['date_scraped'])\n"
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"outputs": [],
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{
"output_type": "execute_result",
"data": {
"text/plain": [
" rank title author \\\n",
"0 1 The Book of Bill (Gravity Falls) Alex Hirsch \n",
"1 2 Hillbilly Elegy: A Memoir of a Family and Cult... J. D. Vance \n",
"2 3 It Ends with Us: A Novel (1) Colleen Hoover \n",
"3 4 Onyx Storm (Deluxe Limited Edition) (The Empyr... Rebecca Yarros \n",
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"type": "dataframe",
"variable_name": "df",
"summary": "{\n \"name\": \"df\",\n \"rows\": 30,\n \"fields\": [\n {\n \"column\": \"rank\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 8,\n \"min\": 1,\n \"max\": 30,\n \"num_unique_values\": 30,\n \"samples\": [\n 28,\n 16,\n 24\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"Shepherds for Sale: How Evangelical Leaders Traded the Truth for a Leftist Agenda\",\n \"The 48 Laws of Power\",\n \"Little Corner: Coloring Book for Adults and Teens, Super Cute Designs of Cozy, Hygge Spaces for Relaxation (Cozy Spaces Coloring)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"author\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 22,\n \"samples\": [\n \"Alex Hirsch\",\n \"Jeffrey Mason\",\n \"Natasha Wing\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"price\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 10.324964968908871,\n \"min\": 0.0,\n \"max\": 54.41,\n \"num_unique_values\": 25,\n \"samples\": [\n 4.99,\n 11.95,\n 18.03\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.4250670482310726,\n \"min\": 0.0,\n \"max\": 4.9,\n \"num_unique_values\": 8,\n \"samples\": [\n 4.4,\n 4.2,\n 4.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"type_cover\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Hardcover\",\n \"Paperback\",\n \"Board book\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"numbers_reviews\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 107189,\n \"min\": 0,\n \"max\": 338819,\n \"num_unique_values\": 28,\n \"samples\": [\n 182030,\n 289,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"date_scraped\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2024-08-04 00:00:00\",\n \"max\": \"2024-08-04 00:00:00\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2024-08-04 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
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"metadata": {},
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{
"cell_type": "code",
"source": [
"# Análisis exploratorio de datos\n",
"print(df.info())\n",
"print(df.describe())\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 30 entries, 0 to 29\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 rank 30 non-null int64 \n",
" 1 title 30 non-null object \n",
" 2 author 30 non-null object \n",
" 3 price 30 non-null float64 \n",
" 4 score 30 non-null float64 \n",
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" 6 numbers_reviews 30 non-null int64 \n",
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"dtypes: datetime64[ns](1), float64(2), int64(2), object(3)\n",
"memory usage: 2.0+ KB\n",
"None\n",
" rank price score numbers_reviews date_scraped\n",
"count 30.000000 30.000000 30.000000 30.000000 30\n",
"mean 15.500000 11.221333 4.176667 89705.800000 2024-08-04 00:00:00\n",
"min 1.000000 0.000000 0.000000 0.000000 2024-08-04 00:00:00\n",
"25% 8.250000 6.480000 4.500000 818.000000 2024-08-04 00:00:00\n",
"50% 15.500000 9.885000 4.700000 52867.000000 2024-08-04 00:00:00\n",
"75% 22.750000 13.330000 4.700000 166579.250000 2024-08-04 00:00:00\n",
"max 30.000000 54.410000 4.900000 338819.000000 2024-08-04 00:00:00\n",
"std 8.803408 10.324965 1.425067 107189.954117 NaN\n"
]
}
],
"execution_count": 5,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T20:52:44.993Z",
"iopub.execute_input": "2024-08-04T20:52:45.029Z",
"iopub.status.idle": "2024-08-04T20:52:45.100Z",
"shell.execute_reply": "2024-08-04T20:52:44.887Z"
},
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Be8zJvt6v77n",
"outputId": "ee8b3977-389f-4f5a-dc02-2e25958ff514"
}
},
{
"cell_type": "code",
"source": [
"# Top 10 autores más frecuentes\n",
"top_authors = df['author'].value_counts().head(10)\n",
"print(\"Top 10 autores más frecuentes:\")\n",
"print(top_authors)"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Top 10 autores más frecuentes:\n",
"author\n",
"Freida McFadden 5\n",
"Colleen Hoover 2\n",
"Kristin Hannah 2\n",
"Coco Wyo 2\n",
"Sarah J. Maas 2\n",
"Alex Hirsch 1\n",
"Brian Tyler Cohen 1\n",
"Don Miguel Ruiz 1\n",
"Megan Basham 1\n",
"Chris Whitaker 1\n",
"Name: count, dtype: int64\n"
]
}
],
"execution_count": 6,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T20:52:51.269Z",
"iopub.execute_input": "2024-08-04T20:52:51.313Z",
"iopub.status.idle": "2024-08-04T20:52:51.448Z",
"shell.execute_reply": "2024-08-04T20:52:51.486Z"
},
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "51xeeB5Wv771",
"outputId": "668d84e4-d5e0-4ac1-ffaa-ec892d160cf8"
}
},
{
"cell_type": "code",
"source": [
"# Precio promedio por tipo de cubierta\n",
"cover_avg_price = df.groupby('type_cover')['price'].mean().sort_values(ascending=False)\n",
"print(\"\\nPrecio promedio por tipo de cubierta:\")\n",
"print(cover_avg_price)"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Precio promedio por tipo de cubierta:\n",
"type_cover\n",
"Hardcover 12.833333\n",
"Paperback 10.847000\n",
"Board book 4.200000\n",
"Name: price, dtype: float64\n"
]
}
],
"execution_count": 7,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T20:54:13.845Z",
"iopub.execute_input": "2024-08-04T20:54:13.903Z",
"iopub.status.idle": "2024-08-04T20:54:14.004Z",
"shell.execute_reply": "2024-08-04T20:54:14.139Z"
},
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "i8WWJcd5v774",
"outputId": "6dc8c76b-90fd-4d91-840f-c85dcd7c037a"
}
},
{
"cell_type": "code",
"source": [
"# Relación entre puntuación y número de reseñas\n",
"df_with_reviews = df[df['numbers_reviews'] > 0]\n",
"correlation = df_with_reviews['score'].corr(df_with_reviews['numbers_reviews'])\n",
"print(f\"\\nCorrelación entre puntuación y número de reseñas: {correlation:.2f}\")\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Correlación entre puntuación y número de reseñas: -0.22\n"
]
}
],
"execution_count": 8,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T20:55:09.548Z",
"iopub.execute_input": "2024-08-04T20:55:09.587Z",
"iopub.status.idle": "2024-08-04T20:55:09.680Z",
"shell.execute_reply": "2024-08-04T20:55:09.738Z"
},
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "nqlL8yQfv78C",
"outputId": "3085e729-1a77-4149-c83f-f00f25923fe4"
}
},
{
"cell_type": "code",
"source": [
"# Configuración de estilos para matplotlib y seaborn\n",
"plt.style.use('ggplot') # Usa el estilo 'ggplot' que es similar al de seaborn\n",
"sns.set_theme(style=\"whitegrid\") # Configuración de tema para seaborn\n",
"sns.set_palette(\"deep\")"
],
"outputs": [],
"execution_count": 9,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T21:25:23.976Z",
"iopub.execute_input": "2024-08-04T21:25:24.033Z",
"iopub.status.idle": "2024-08-04T21:25:34.053Z",
"shell.execute_reply": "2024-08-04T21:25:34.570Z"
},
"id": "hb1ARZILv78G"
}
},
{
"cell_type": "code",
"source": [
"# Visualizaciones\n",
"plt.figure(figsize=(12, 6))\n",
"sns.histplot(df['price'], bins=20)\n",
"plt.title('Distribución de Precios')\n",
"plt.xlabel('Precio')\n",
"#plt.savefig('price_distribution.png')\n",
"plt.show()\n",
"plt.close()"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"execution_count": 12,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T21:25:41.854Z",
"iopub.execute_input": "2024-08-04T21:25:41.920Z",
"iopub.status.idle": "2024-08-04T21:25:52.247Z",
"shell.execute_reply": "2024-08-04T21:25:52.334Z"
},
"colab": {
"base_uri": "https://localhost:8080/",
"height": 540
},
"id": "MOTaTUuMv78T",
"outputId": "6ff803d0-95eb-4f01-b7e0-dfad370a98ba"
}
},
{
"cell_type": "code",
"source": [
"plt.figure(figsize=(12, 6))\n",
"sns.scatterplot(x='rank', y='price', hue='type_cover', data=df)\n",
"plt.title('Relación entre Ranking, Precio y Tipo de Cubierta')\n",
"plt.xlabel('Ranking')\n",
"plt.ylabel('Precio')\n",
"plt.legend(title='Tipo de Cubierta', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
"plt.tight_layout()\n",
"#plt.savefig('rank_price_cover.png')\n",
"plt.show()\n",
"plt.close()"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
],
"image/png": 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},
"metadata": {}
}
],
"execution_count": 13,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T21:26:18.541Z",
"iopub.execute_input": "2024-08-04T21:26:18.578Z",
"iopub.status.idle": "2024-08-04T21:26:23.624Z",
"shell.execute_reply": "2024-08-04T21:26:23.697Z"
},
"colab": {
"base_uri": "https://localhost:8080/",
"height": 479
},
"id": "gaKan9nsv78W",
"outputId": "94ec6174-c905-4609-aa82-3197b2c4dff4"
}
},
{
"cell_type": "code",
"source": [
"plt.figure(figsize=(12, 6))\n",
"sns.scatterplot(x='numbers_reviews', y='score', size='price', data=df_with_reviews)\n",
"plt.title('Relación entre Número de Reseñas, Puntuación y Precio')\n",
"plt.xlabel('Número de Reseñas')\n",
"plt.ylabel('Puntuación')\n",
"#plt.savefig('reviews_score_price.png')\n",
"plt.show()\n",
"plt.close()"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"execution_count": 14,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2024-08-04T21:27:20.086Z",
"iopub.execute_input": "2024-08-04T21:27:20.146Z",
"iopub.status.idle": "2024-08-04T21:27:23.291Z",
"shell.execute_reply": "2024-08-04T21:27:23.344Z"
},
"colab": {
"base_uri": "https://localhost:8080/",
"height": 525
},
"id": "FyeZ8PJZv78a",
"outputId": "a7260d05-f29d-4539-850f-d26f04f6e739"
}
},
{
"cell_type": "code",
"source": [
"# Análisis de los libros mejor puntuados\n",
"top_rated = df[df['score'] > 4.5].sort_values('numbers_reviews', ascending=False).head(10)\n",
"print(\"\\nTop 10 libros mejor puntuados (con más de 4.5 estrellas):\")\n",
"top_rated[['title', 'author', 'score', 'numbers_reviews', 'price']]\n"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Top 10 libros mejor puntuados (con más de 4.5 estrellas):\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" title \\\n",
"2 It Ends with Us: A Novel (1) \n",
"16 The Nightingale: A Novel \n",
"14 A Court of Thorns and Roses (A Court of Thorns... \n",
"5 Atomic Habits: An Easy & Proven Way to Build G... \n",
"6 The Women: A Novel \n",
"28 The Four Agreements: A Practical Guide to Pers... \n",
"15 The 48 Laws of Power \n",
"24 The Body Keeps the Score: Brain, Mind, and Bod... \n",
"29 I Love You to the Moon and Back \n",
"26 A Court of Thorns and Roses Paperback Box Set ... \n",
"\n",
" author score numbers_reviews price \n",
"2 Colleen Hoover 4.7 334525 10.98 \n",
"16 Kristin Hannah 4.7 314957 9.40 \n",
"14 Sarah J. Maas 4.6 223330 10.37 \n",
"5 James Clear 4.8 174094 13.79 \n",
"6 Kristin Hannah 4.7 154892 18.71 \n",
"28 Don Miguel Ruiz 4.7 114855 7.00 \n",
"15 Robert Greene 4.7 78592 14.55 \n",
"24 Bessel van der Kolk M.D. 4.8 75794 10.86 \n",
"29 Amelia Hepworth 4.9 75506 4.20 \n",
"26 Sarah J. Maas 4.8 30228 54.41 "
],
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"type": "dataframe",
"summary": "{\n \"name\": \"top_rated[['title', 'author', 'score', 'numbers_reviews', 'price']]\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"I Love You to the Moon and Back\",\n \"The Nightingale: A Novel\",\n \"The Four Agreements: A Practical Guide to Personal Freedom (A Toltec Wisdom Book)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"author\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 8,\n \"samples\": [\n \"Kristin Hannah\",\n \"Robert Greene\",\n \"Colleen Hoover\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.08432740427115684,\n \"min\": 4.6,\n \"max\": 4.9,\n \"num_unique_values\": 4,\n \"samples\": [\n 4.6,\n 4.9,\n 4.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"numbers_reviews\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 104556,\n \"min\": 30228,\n \"max\": 334525,\n \"num_unique_values\": 10,\n \"samples\": [\n 75506,\n 314957,\n 114855\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"price\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14.273099834615074,\n \"min\": 4.2,\n \"max\": 54.41,\n \"num_unique_values\": 10,\n \"samples\": [\n 4.2,\n 9.4,\n 7.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 16
}
],
"execution_count": 16,
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},
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"outputId": "a5fc07dc-203c-45fb-945a-e684680d67e4"
}
},
{
"cell_type": "code",
"source": [
"# Guardar resultados procesados\n",
"df.to_csv('processed_amazon_bestsellers.csv', index=False)\n",
"print(\"\\nDatos procesados guardados en 'processed_amazon_bestsellers.csv'\")\n",
"print(\"Visualizaciones guardadas como 'price_distribution.png', 'rank_price_cover.png', y 'reviews_score_price.png'\")"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Datos procesados guardados en 'processed_amazon_bestsellers.csv'\n",
"Visualizaciones guardadas como 'price_distribution.png', 'rank_price_cover.png', y 'reviews_score_price.png'\n"
]
}
],
"execution_count": null,
"metadata": {
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"outputs_hidden": false
},
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"execution": {
"iopub.status.busy": "2024-08-04T21:30:07.928Z",
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},
{
"cell_type": "code",
"source": [
"import pandas as pd\n",
"import plotly.express as px\n",
"import plotly.graph_objects as go\n",
"from IPython.display import display, HTML\n",
"\n",
"# Funciones auxiliares\n",
"def create_title(title):\n",
" return HTML(f\"<h1>{title}</h1>\")\n",
"\n",
"def create_subtitle(subtitle):\n",
" return HTML(f\"<h2>{subtitle}</h2>\")\n",
"\n",
"def create_paragraph(text):\n",
" return HTML(f\"<p>{text}</p>\")\n",
"\n",
"# Título del reporte\n",
"display(create_title(\"Reporte de Best Sellers de Amazon\"))\n"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h1>Reporte de Best Sellers de Amazon</h1>"
]
},
"metadata": {}
}
],
"execution_count": 22,
"metadata": {
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
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"nteract": {
"transient": {
"deleting": false
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"execution": {
"iopub.status.busy": "2024-08-04T21:37:27.491Z",
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"shell.execute_reply": "2024-08-04T21:38:56.913Z"
},
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},
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"outputId": "8cfa4d00-efee-4c31-dcd4-1216de21fa1c"
}
},
{
"cell_type": "code",
"source": [
"# Distribución de precios\n",
"display(create_subtitle(\"Distribución de Precios\"))\n",
"\n",
"sns.histplot(data=df, x='price', kde=True)\n",
"plt.title('Distribución de Precios de Best Sellers')\n",
"plt.xlabel('Precio')\n",
"plt.ylabel('Frecuencia')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 545
},
"id": "J20wMpuY2F66",
"outputId": "f3e23a24-1a52-4548-bbc4-d7f3d3db304d"
},
"execution_count": 29,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h2>Distribución de Precios</h2>"
]
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0, 0.5, 'Frecuencia')"
]
},
"metadata": {},
"execution_count": 29
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Top 10 autores\n",
"display(create_subtitle(\"Top 10 Autores\"))\n",
"\n",
"top_authors = df['author'].value_counts().head(10)\n",
"sns.barplot(x=top_authors.index, y=top_authors.values)\n",
"plt.title('Top 10 Autores más Frecuentes')\n",
"plt.xlabel('Autor')\n",
"plt.ylabel('Número de libros')\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.tight_layout()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 528
},
"id": "RvmfspeB2H5g",
"outputId": "05821aaa-48af-4831-9a45-692262312c3a"
},
"execution_count": 30,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h2>Top 10 Autores</h2>"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Relación entre puntuación y número de reseñas\n",
"display(create_subtitle(\"Relación entre Puntuación y Número de Reseñas\"))\n",
"\n",
"sns.scatterplot(data=df, x='numbers_reviews', y='score', size='price', hue='price', palette='viridis')\n",
"plt.title('Puntuación vs Número de Reseñas')\n",
"plt.xlabel('Número de reseñas')\n",
"plt.ylabel('Puntuación')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 545
},
"id": "FLGZFWVm2Ir3",
"outputId": "79113063-4564-4de9-e4cf-82e3f4b3da6b"
},
"execution_count": 31,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h2>Relación entre Puntuación y Número de Reseñas</h2>"
]
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0, 0.5, 'Puntuación')"
]
},
"metadata": {},
"execution_count": 31
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Precio promedio por tipo de cubierta\n",
"display(create_subtitle(\"Precio Promedio por Tipo de Cubierta\"))\n",
"\n",
"avg_price_cover = df.groupby('type_cover')['price'].mean().reset_index()\n",
"sns.barplot(data=avg_price_cover, x='type_cover', y='price')\n",
"plt.title('Precio Promedio por Tipo de Cubierta')\n",
"plt.xlabel('Tipo de cubierta')\n",
"plt.ylabel('Precio promedio')\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.tight_layout()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 528
},
"id": "VKimIgSP2JYN",
"outputId": "d5382cc1-38bd-4dc8-ada2-e653900bcdd0"
},
"execution_count": 32,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h2>Precio Promedio por Tipo de Cubierta</h2>"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"# Tabla de los 10 libros mejor puntuados\n",
"display(create_subtitle(\"Top 10 Libros Mejor Puntuados\"))\n",
"\n",
"top_rated = df[df['score'] > 4.5].sort_values('numbers_reviews', ascending=False).head(10)\n",
"\n",
"# Función para aplicar estilo a la tabla\n",
"def highlight_max(s, props=''):\n",
" return np.where(s == np.max(s.values), props, '')\n",
"\n",
"# Estilizar la tabla\n",
"styled_table = (top_rated[['title', 'author', 'score', 'numbers_reviews', 'price']]\n",
" .style\n",
" .background_gradient(cmap='YlOrRd', subset=['score', 'numbers_reviews'])\n",
" .format({'score': '{:.2f}', 'price': '${:.2f}', 'numbers_reviews': '{:,}'})\n",
" .set_properties(**{'text-align': 'left', 'font-size': '11px'})\n",
" .set_table_styles([\n",
" {'selector': 'th', 'props': [('background-color', '#4CAF50'), ('color', 'white'),\n",
" ('font-weight', 'bold'), ('text-align', 'left'),\n",
" ('padding', '10px')]},\n",
" {'selector': 'td', 'props': [('padding', '10px')]},\n",
" {'selector': 'caption', 'props': [('caption-side', 'bottom'), ('font-size', '14px')]}\n",
" ])\n",
" .set_caption(\"Top 10 Libros Mejor Puntuados\")\n",
" .apply(highlight_max, props='font-weight:bold;', axis=0, subset=['score', 'numbers_reviews'])\n",
")\n",
"display(HTML(styled_table.to_html()))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 517
},
"id": "ZjYcOBP92L1Q",
"outputId": "a1909573-f07e-49d5-aab7-2dbaa0989cfd"
},
"execution_count": 37,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<h2>Top 10 Libros Mejor Puntuados</h2>"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<style type=\"text/css\">\n",
"#T_b5b2b th {\n",
" background-color: #4CAF50;\n",
" color: white;\n",
" font-weight: bold;\n",
" text-align: left;\n",
" padding: 10px;\n",
"}\n",
"#T_b5b2b td {\n",
" padding: 10px;\n",
"}\n",
"#T_b5b2b caption {\n",
" caption-side: bottom;\n",
" font-size: 14px;\n",
"}\n",
"#T_b5b2b_row0_col0, #T_b5b2b_row0_col1, #T_b5b2b_row0_col4, #T_b5b2b_row1_col0, #T_b5b2b_row1_col1, #T_b5b2b_row1_col4, #T_b5b2b_row2_col0, #T_b5b2b_row2_col1, #T_b5b2b_row2_col4, #T_b5b2b_row3_col0, #T_b5b2b_row3_col1, #T_b5b2b_row3_col4, #T_b5b2b_row4_col0, #T_b5b2b_row4_col1, #T_b5b2b_row4_col4, #T_b5b2b_row5_col0, #T_b5b2b_row5_col1, #T_b5b2b_row5_col4, #T_b5b2b_row6_col0, #T_b5b2b_row6_col1, #T_b5b2b_row6_col4, #T_b5b2b_row7_col0, #T_b5b2b_row7_col1, #T_b5b2b_row7_col4, #T_b5b2b_row8_col0, #T_b5b2b_row8_col1, #T_b5b2b_row8_col4, #T_b5b2b_row9_col0, #T_b5b2b_row9_col1, #T_b5b2b_row9_col4 {\n",
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" background-color: #800026;\n",
" color: #f1f1f1;\n",
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" font-weight: bold;\n",
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" color: #f1f1f1;\n",
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" font-size: 11px;\n",
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" background-color: #f43d25;\n",
" color: #f1f1f1;\n",
" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
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" background-color: #fd953f;\n",
" color: #000000;\n",
" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
"#T_b5b2b_row4_col3 {\n",
" background-color: #fea848;\n",
" color: #000000;\n",
" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
"#T_b5b2b_row5_col3 {\n",
" background-color: #fed06c;\n",
" color: #000000;\n",
" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
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" background-color: #ffe895;\n",
" color: #000000;\n",
" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
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" background-color: #ffe998;\n",
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" text-align: left;\n",
" font-size: 11px;\n",
"}\n",
"</style>\n",
"<table id=\"T_b5b2b\">\n",
" <caption>Top 10 Libros Mejor Puntuados</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_b5b2b_level0_col0\" class=\"col_heading level0 col0\" >title</th>\n",
" <th id=\"T_b5b2b_level0_col1\" class=\"col_heading level0 col1\" >author</th>\n",
" <th id=\"T_b5b2b_level0_col2\" class=\"col_heading level0 col2\" >score</th>\n",
" <th id=\"T_b5b2b_level0_col3\" class=\"col_heading level0 col3\" >numbers_reviews</th>\n",
" <th id=\"T_b5b2b_level0_col4\" class=\"col_heading level0 col4\" >price</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row0\" class=\"row_heading level0 row0\" >2</th>\n",
" <td id=\"T_b5b2b_row0_col0\" class=\"data row0 col0\" >It Ends with Us: A Novel (1)</td>\n",
" <td id=\"T_b5b2b_row0_col1\" class=\"data row0 col1\" >Colleen Hoover</td>\n",
" <td id=\"T_b5b2b_row0_col2\" class=\"data row0 col2\" >4.70</td>\n",
" <td id=\"T_b5b2b_row0_col3\" class=\"data row0 col3\" >334,525</td>\n",
" <td id=\"T_b5b2b_row0_col4\" class=\"data row0 col4\" >$10.98</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row1\" class=\"row_heading level0 row1\" >16</th>\n",
" <td id=\"T_b5b2b_row1_col0\" class=\"data row1 col0\" >The Nightingale: A Novel</td>\n",
" <td id=\"T_b5b2b_row1_col1\" class=\"data row1 col1\" >Kristin Hannah</td>\n",
" <td id=\"T_b5b2b_row1_col2\" class=\"data row1 col2\" >4.70</td>\n",
" <td id=\"T_b5b2b_row1_col3\" class=\"data row1 col3\" >314,957</td>\n",
" <td id=\"T_b5b2b_row1_col4\" class=\"data row1 col4\" >$9.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row2\" class=\"row_heading level0 row2\" >14</th>\n",
" <td id=\"T_b5b2b_row2_col0\" class=\"data row2 col0\" >A Court of Thorns and Roses (A Court of Thorns and Roses, 1)</td>\n",
" <td id=\"T_b5b2b_row2_col1\" class=\"data row2 col1\" >Sarah J. Maas</td>\n",
" <td id=\"T_b5b2b_row2_col2\" class=\"data row2 col2\" >4.60</td>\n",
" <td id=\"T_b5b2b_row2_col3\" class=\"data row2 col3\" >223,330</td>\n",
" <td id=\"T_b5b2b_row2_col4\" class=\"data row2 col4\" >$10.37</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row3\" class=\"row_heading level0 row3\" >5</th>\n",
" <td id=\"T_b5b2b_row3_col0\" class=\"data row3 col0\" >Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones</td>\n",
" <td id=\"T_b5b2b_row3_col1\" class=\"data row3 col1\" >James Clear</td>\n",
" <td id=\"T_b5b2b_row3_col2\" class=\"data row3 col2\" >4.80</td>\n",
" <td id=\"T_b5b2b_row3_col3\" class=\"data row3 col3\" >174,094</td>\n",
" <td id=\"T_b5b2b_row3_col4\" class=\"data row3 col4\" >$13.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row4\" class=\"row_heading level0 row4\" >6</th>\n",
" <td id=\"T_b5b2b_row4_col0\" class=\"data row4 col0\" >The Women: A Novel</td>\n",
" <td id=\"T_b5b2b_row4_col1\" class=\"data row4 col1\" >Kristin Hannah</td>\n",
" <td id=\"T_b5b2b_row4_col2\" class=\"data row4 col2\" >4.70</td>\n",
" <td id=\"T_b5b2b_row4_col3\" class=\"data row4 col3\" >154,892</td>\n",
" <td id=\"T_b5b2b_row4_col4\" class=\"data row4 col4\" >$18.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row5\" class=\"row_heading level0 row5\" >28</th>\n",
" <td id=\"T_b5b2b_row5_col0\" class=\"data row5 col0\" >The Four Agreements: A Practical Guide to Personal Freedom (A Toltec Wisdom Book)</td>\n",
" <td id=\"T_b5b2b_row5_col1\" class=\"data row5 col1\" >Don Miguel Ruiz</td>\n",
" <td id=\"T_b5b2b_row5_col2\" class=\"data row5 col2\" >4.70</td>\n",
" <td id=\"T_b5b2b_row5_col3\" class=\"data row5 col3\" >114,855</td>\n",
" <td id=\"T_b5b2b_row5_col4\" class=\"data row5 col4\" >$7.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row6\" class=\"row_heading level0 row6\" >15</th>\n",
" <td id=\"T_b5b2b_row6_col0\" class=\"data row6 col0\" >The 48 Laws of Power</td>\n",
" <td id=\"T_b5b2b_row6_col1\" class=\"data row6 col1\" >Robert Greene</td>\n",
" <td id=\"T_b5b2b_row6_col2\" class=\"data row6 col2\" >4.70</td>\n",
" <td id=\"T_b5b2b_row6_col3\" class=\"data row6 col3\" >78,592</td>\n",
" <td id=\"T_b5b2b_row6_col4\" class=\"data row6 col4\" >$14.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row7\" class=\"row_heading level0 row7\" >24</th>\n",
" <td id=\"T_b5b2b_row7_col0\" class=\"data row7 col0\" >The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma</td>\n",
" <td id=\"T_b5b2b_row7_col1\" class=\"data row7 col1\" >Bessel van der Kolk M.D.</td>\n",
" <td id=\"T_b5b2b_row7_col2\" class=\"data row7 col2\" >4.80</td>\n",
" <td id=\"T_b5b2b_row7_col3\" class=\"data row7 col3\" >75,794</td>\n",
" <td id=\"T_b5b2b_row7_col4\" class=\"data row7 col4\" >$10.86</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row8\" class=\"row_heading level0 row8\" >29</th>\n",
" <td id=\"T_b5b2b_row8_col0\" class=\"data row8 col0\" >I Love You to the Moon and Back</td>\n",
" <td id=\"T_b5b2b_row8_col1\" class=\"data row8 col1\" >Amelia Hepworth</td>\n",
" <td id=\"T_b5b2b_row8_col2\" class=\"data row8 col2\" >4.90</td>\n",
" <td id=\"T_b5b2b_row8_col3\" class=\"data row8 col3\" >75,506</td>\n",
" <td id=\"T_b5b2b_row8_col4\" class=\"data row8 col4\" >$4.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b5b2b_level0_row9\" class=\"row_heading level0 row9\" >26</th>\n",
" <td id=\"T_b5b2b_row9_col0\" class=\"data row9 col0\" >A Court of Thorns and Roses Paperback Box Set (5 books) (A Court of Thorns and Roses, 9)</td>\n",
" <td id=\"T_b5b2b_row9_col1\" class=\"data row9 col1\" >Sarah J. Maas</td>\n",
" <td id=\"T_b5b2b_row9_col2\" class=\"data row9 col2\" >4.80</td>\n",
" <td id=\"T_b5b2b_row9_col3\" class=\"data row9 col3\" >30,228</td>\n",
" <td id=\"T_b5b2b_row9_col4\" class=\"data row9 col4\" >$54.41</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
]
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