Books Set In Bath

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Books Set in Bath

A catalog of books set in the city of Bath

By Leigh Dodds [source]

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About this dataset

The dataset offers insights into various literary works that take place in Bath, providing an opportunity for readers and researchers to explore the rich connections between literature and this historical city. Whether you are interested in local stories or looking for inspiration for your next visit to Bath, this dataset serves as a useful resource.

Each entry includes detailed information such as the unique identifier assigned by LibraryThing (URI), which allows users to access further metadata and book covers using LibraryThing's APIs. Additionally, if available, ISBNs are provided for easy identification of specific editions or versions of each book.

With columns formatted consistently as uri,**uri,title,**title,isbn,**isbn,and author,**author,the dataset ensures clarity and enables efficient data analysis.

How to use the dataset

Dataset Overview

Columns

This dataset consists of eight columns that provide important details about each book:

• uri: The unique identifier for each book in the LibraryThing database.
• title: The title of the book.
• isbn: The International Standard Book Number (ISBN) for the book if known.
• author: The author of the book.

Getting Started

Before diving into analyzing or exploring this dataset, it's important to understand its structure and familiarize yourself with its columns and values.

To get started:

• Load/import it into your preferred data analysis tool or programming language (e.g., Python pandas library).
• Follow along with code examples provided below for common tasks using pandas library.

Example Code: Getting Basic Insights

import pandas as pd

# Load CSV file into pandas DataFrame
data = pd.read_csv('Library_Thing__Books_Set_in_Bath.csv')

# Print basic insights about columns and values
print(Number of rows:, data.shape[0])
print(Number of columns:, data.shape[1])
print(\nColumn names:, list(data.columns))
print(\nSample data:)
print(data.head())

Exploring the Data

Once you have loaded the dataset into your preferred tool, you can begin exploring and analyzing its contents. Here are a few common tasks to get you started:

1. Checking Unique Book Count:

unique_books = data['title'].nunique()
print(Number of unique books:, unique_books)

2. Finding Books by a Specific Author:

author_name = Jane Austen
books_by_author = data[data['author'] == author

Research Ideas

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Library_Thing__Books_Set_in_Bath.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Leigh Dodds.