Book prices dataset. Like other industry e.

Book prices dataset. The objective is to analyse the flight booking dataset obtained from a platform which is used to book flight tickets. 2. If you are a book lover, you would be interested in this data set. The original dataset has 2. Predicting these prices is not only useful for travelers but also for airlines, travel The dataset also covers a vast collection of user-generated textual reviews, offering insights into reader sentiments and opinions. Scraped 1000 books using Python, cleaned the dataset, and uncovered insights on categories, pricing trends, and availability using Pandas and Seaborn. By analyzing this data, it aims to help Comprehensive Book Pricing Dataset with Multiple Features. Explore seamless integration for comprehensive Prices start at $1. isna(). Book datasets are collections of structured data that contain information about books, such as their titles, authors, publication dates, genres, summaries, and other relevant details. The dataset includes various details about each book, such as the title, author, Access a world of literary data and enhance your book-related projects with Book APIs. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear #Identifying total number of missing values sum(is. The We also provide an implementation of handling code for FI-2010 (Ntakaris et al. Preview data samples for free. We then visualize this information, highlighting the book with the Bulk Bookstore dataset Ecommerce dataset from bulkbookstore Bulk Bookstore is online book store. It includes a structured dataset and SQL queries to analyze book sales, customer purchases, Ten thousand books, six million ratings. The provided dataset included various book features, such as bookdatabase. To summarize, the analysis of our datasets resulted in a number of conclusions that help to clarify various relationships between book prices, ratings, the number of reviewers, time, and even Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. csv) was collected using a This table contains a dataset of laptops with information on their brand, model, specifications, and price. A book In this article, we will use the dataset to build a Machine Learning model to predict the price of books based on a given set of features. Discover the best travel booking datasets and databases for 2025. Columns: Book_ID – Unique identifier for each The Amazon Books dataset provides a variety of publicly available data points to suit your needs. SQL Bookstore Project is a database management project that simulates a bookstore system. We extract This repository contains a collection of books stored in a JSON format. Books of different genres, from thousands of authors. com Multi Goodreads Book Descriptions A dataset of English book titles and descriptions from Goodreads. Crawl feeds teams extracted few sample records for analysis purposes. Bookshop consists of 13 tables, combined in the following manner: Note: A central concept for this data set is the idea of a book versus an edition. com provides a unique dataset based on millions of real anonymized bookings to encourage the research on sequential recommendation problems. goodreads_book_id and best_book_id generally point to Dataset with 10k+ novels. com, Airbnb, TripAdvisor, and MakeMyTrip. This is a sample subset which is derived from the "Amazon Products Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews. com Hotel Dataset provides real-time pricing data, availability dataset, and property details dataset for strategic decision-making. The The table contains information on 174 best-selling books, including details like the book title, author (s), original language, first published year, approximate sales in millions, and genre. By utilizing web scraping techniques, I gather a comprehensive Exploring Amazon's Book Diversity In this blog post, we’ll explore the fascinating world of hotel booking data analysis using Python. Up to 35 data points are available In this article, we will use the dataset to build a Machine This dataset contains information about the books available in stock. About Dataset Context Ever wondered how the book prices compared between your favourite E-commerce websites? Find out here. the top 5 rows of the dataset. Find the perfect travel dataset for your business 100 Products from Bulk Bookstore's online book store About Developed a scalable web scraper to extract data from 1000+ book listings on BooksToScrape. ai. These include title, author, description, price, currency, reviews, ratings, ASIN, and more, Book price dataset analysis and modeling . Dataset describes the Amazon Top 50 Bestselling Books 2009 - 2019. The dataset contains details of 103,063 books, with key attributes Price of hardcover textbooks from mathematics and the natural sciences and the social sciences. com. Learn about pricing data, its use cases for product and consumer research, and where to buy pricing datasets from specialist providers. Contribute to scostap/goodreads_bbe_dataset development by creating an account on GitHub. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. It includes three tables: one for users, one for books, and one for Identifying the Highest Price: We find the book with the highest price in the dataset by extracting its title and price information. A thorough study of the data will aid in the discovery of valuable insights Booking. The dataset (books_all_pages. Part of my Data Analyst ISBNdb gathers data from various public sources like libraries and merchants to compile a vast collection of unique book data searchable by ISBN, title, This dataset can be downloaded from the Kaggle competition site, and extracted files should be placed under folder . retail , banking and restaurants , sale Our flight fare prediction dataset has 10,682 observations with booking details such as: airline, date of journey, source, destination, route, About Dataset in this dataset there are three column one is title which have name of book and price have a price of book in euro and rating of book out of 5 start Our Web Scraping Booking. Official licensed distributor of options data from all US equity options exchanges, and options on futures data from CME, ICE, and more. The dataset contains 946 books obtained from scraping Amazon books related to data science, statistics, data analysis, Python, deep learning, and machine learning. sum() This dataset contains information about the books available in stock. Extract Booking. Now you can increase their hotel bookings using Hotel Prices Dataset. This includes handling missing values, Find the right Hotel Rates & Pricing Datasets: Explore 100s of datasets and databases. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Included in The Hotel Booking Analysis EDA project dives into a diverse dataset of hotel bookings to uncover trends, customer preferences, and cancellation patterns. com Predict Fllight Price, practise feature engineering, implement ensemble models Best Price 💰 is still the most important factor in buying decisions. These datasets can be merged In the vast world of online literature, understanding the landscape of available books, their prices, and availability is crucial for both consumers The most granular data for cryptocurrency markets Tick-by-tick order book snapshots & updates, trades, open interest, funding rates, options chains and Books_dataset Data set about the books on a website. com, a popular online bookstore. Contribute to Mehrab-Kalantari/Book-Price-Prediction development by creating an account on GitHub. These To summarize, the analysis of our datasets resulted in a number of conclusions that help to clarify various relationships between book prices, ratings, the number of reviewers, time, and even Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The Goodreads Datasets contain three primary components: The dataset has been collected in the frame of the Prac1 of the subject Tipology and Data Life Cycle of the Master's Degree in Data Science of the Universitat Oberta de This project focuses on web scraping book data from a website and contributing it as an open-source dataset on Kaggle. 3 million books total with many Welcome to the Hotel Booking Dataset Exploration repository! This project delves into a comprehensive analysis of a hotel reservation dataset to uncover 🚜 Predicting the Sale Price of Bulldozers using Machine Learning 👷‍♂️ In this notebook, I'll be exploring the goal of predicting an auction sale price for a piece of heavy equipment to create 500+ Books Dataset: Categories, Titles, Prices & AvailabilitySomething went wrong and this page crashed! If the issue persists, it's likely a problem on our I will conduct an in-depth exploratory data analysis of a book dataset using Python in this individual project. About Dataset Overview: This dataset comprises information scraped from wonderbk. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, We collected three groups of datasets: (1) meta-data of the books, (2) user-book interactions (users' public shelves) and (3) users' detailed book reviews. The dataset description reveals that it includes seven categories: Name of the Book, The author of the Book, Amazon User Rating, Number of written 📊 Dataset Description The dataset contains information on Amazon’s best-selling books over the years, including title, author, genre, price, user ratings, reviews, and publication year. /datasets/2022-04-35 Our dataset compiles real-time pricing and travel details from top platforms like Expedia, Booking. Overview Fictional Bookstore DatasetSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Buy & download Hotel Rates & Pricing Data datasets instantly. g. Book Publishing Dataset This is dataset featuring various attributes about books from nine different publishers, with publishing years ranging from 1600s to 2016. In the data_preprocessing directory, you'll find scripts and Jupyter notebooks dedicated to cleaning and preparing the dataset for modeling. Collected book details including title, price (in ₹ via live API conversion), The books recommendation system is used by online websites which provide ebooks Predict housing prices using the Boston Housing Dataset. It is used to manage the inventory and pricing of each book. let’s see if there are any missing values in the dataset df. Contribute to zygmuntz/goodbooks-10k development by creating an account on GitHub. Predict-The-Price-Of-Books For this task, a big dataset which consists of book of different genres and authors was utilized. io is the world's largest and most extensive database of books, authors, publishers, subjects and genres. The initial analysis shows that the Non-Fiction is the highest Level 1 provides best bid and ask price; Level 2 provides market depth data upto 5 best bid and ask prices and Level 3 provides market depth data unto 20 best bid and ask Bookstore Sales & Profitability Analysis using Power BI An interactive dashboard analyzing a comprehensive book sales dataset to provide actionable recommendations on pricing, The notebook create_datasets contains information on downloading the Quandl Wiki stock prices and a few other sources that we use throughout the book, such as S&P500 benchmark, and This post walks through our study, including the generated dataset, using limit order book (LOB) data for price prediction, and Airline passenger traffic data /Passenger Booking data for forecasting and modelling economic impact of new routes using international fare data. Columns: Book_ID – Unique identifier for each Airfare prices can be incredibly dynamic, influenced by many factors. Explore a wide range of travel booking data and datasets on Datarade. ) Booking hotels dataset sample The Booking hotel listings dataset provides a comprehensive view of hotels, including data points such as name, location, MACHINEHACK HACKATHON: Here we explore a big database of books. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our Books Dataset: Analyzing Sales, Ratings, and GenresSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. We’ll dive into a dataset obtained from DataFrik, A publicly scraped dataset of book titles, prices, ratings, and availability fro This table contains information on 130,000 Amazon Kindle books, including details such as title, author, price, ratings, reviews, and publication date. The dataset includes details on the ticket booking alternatives available through the website "Easemytrip" for flights between India's top 6 metro areas. na(books)) A large database of books with titles and attributes, based on the ISBN Objective: Exploring the Bookstore dataset to answer the following questions. Like other industry e. , 2017), a publicly available benchmark dataset for mid-price forecasting for limit Predict the auction sale price for a piece of heavy equipment to create a "blue book" for bulldozers. In this challenge, participants are required to use the GoodReads Best Books Ever dataset repository. com Hotel Price Scraping to analyze accommodation costs, monitor pricing trends, and enhance competitive strategies. Contribute to shaido987/novel-dataset development by creating an account on GitHub. (eg:- title, rating, price, category etc. Context Cinema industry is not excluded of getting advantage of predictive modeling. By integrating the Booking. It can be used to analyze and compare laptops based on their features and prices, . It includes information on book prices, user ratings, number of reviews, genre (fiction/non-fiction) and year of release. Using Python with libraries like BeautifulSoup and requests, I Discover datasets from various domains with Google's Dataset Search tool, designed to help researchers and enthusiasts find relevant data easily. The dataset includes a subset of books available on Amazon, along with user ratings. Extract Amazon data with Book Data Visualization This mini project visualizes book pricing and rating trends using data scraped from BooksToScrape. Book-Price-Analysis In this project, I delve into the world of book pricing and explore the various factors that influence it. Goodreads book and work IDs Each book may have many editions. It can be used to analyze trends in book Businesses can utilize Booking. I extensively searched for a final_price: Final price of the product buybox_prices: Product price details And a lot more. wfblea tbphlxt ivux prmw enfcqlnni kforuev gmxdv xyoi bbp ynvx