In this assignment, you should work with books.csv Download books.csvfile. This file contains the detailed information about books scraped via the Goodreads . The dataset is downloaded from Kaggle website. Each row in the file includes ten columns. Detailed description for each column is provided in the following: bookID: A unique Identification number for each book. title: The name under which the book was published. authors: Names of the authors of the book. Multiple authors are delimited with -. average_rating: The average rating of the book received in total. isbn: Another unique number to identify the book, the International Standard Book Number. isbn13: A 13-digit ISBN to identify the book, instead of the standard 11-digit ISBN. language_code: Helps understand what is the primary language of the book. num_pages: Number of pages the book contains. ratings_count: Total number of ratings the book received. text_reviews_count: Total number of written text reviews the book received. Task Write the following codes: Use pandas to read the file as a dataframe (named as books). bookID column should be the index of the dataframe. Use books.head() to see the first 5 rows of the dataframe. Use book.shape to find the number of rows and columns in the dataframe. Use books.describe() to summarize the data. Use books['authors'].describe() to find about number of unique authors in the dataset and also most frequent author. Use OLS regression to test if average rating of a book is dependent to number of pages, number of ratings, and total number of written text reviews the book received. Summarize your findings in part 1 (all 6 sections) in a Word file (you should include your code, and provide a summary that contains a summary of results such as number of rows in the dataset, interpretation of regression results, etc.).
SQL
SQL stands for Structured Query Language, is a form of communication that uses queries structured in a specific format to store, manage & retrieve data from a relational database.
Queries
A query is a type of computer programming language that is used to retrieve data from a database. Databases are useful in a variety of ways. They enable the retrieval of records or parts of records, as well as the performance of various calculations prior to displaying the results. A search query is one type of query that many people perform several times per day. A search query is executed every time you use a search engine to find something. When you press the Enter key, the keywords are sent to the search engine, where they are processed by an algorithm that retrieves related results from the search index. Your query's results are displayed on a search engine results page, or SER.
In this assignment, you should work with books.csv Download books.csvfile. This file contains the detailed information about books scraped via the Goodreads . The dataset is downloaded from Kaggle website.
Each row in the file includes ten columns. Detailed description for each column is provided in the following:
bookID: A unique Identification number for each book.
title: The name under which the book was published.
authors: Names of the authors of the book. Multiple authors are delimited with -.
average_rating: The average rating of the book received in total.
isbn: Another unique number to identify the book, the International Standard Book Number.
isbn13: A 13-digit ISBN to identify the book, instead of the standard 11-digit ISBN.
language_code: Helps understand what is the primary language of the book.
num_pages: Number of pages the book contains.
ratings_count: Total number of ratings the book received.
text_reviews_count: Total number of written text reviews the book received.
Task
Write the following codes:
Use pandas to read the file as a dataframe (named as books). bookID column should be the index of the dataframe.
Use books.head() to see the first 5 rows of the dataframe.
Use book.shape to find the number of rows and columns in the dataframe.
Use books.describe() to summarize the data.
Use books['authors'].describe() to find about number of unique authors in the dataset and also most frequent author.
Use OLS regression to test if average rating of a book is dependent to number of pages, number of ratings, and total number of written text reviews the book received.
Summarize your findings in part 1 (all 6 sections) in a Word file (you should include your code, and provide a summary that contains a summary of results such as number of rows in the dataset, interpretation of regression results, etc.).
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