data formats - Learn Data Science with Travis

data-formats

Data formats are essential structures that define how information is organized, stored, and transmitted in digital environments. They dictate the way data is encoded, allowing software applications to read and interpret the information correctly. Common data formats include CSV (Comma Separated Values), JSON (JavaScript Object Notation), and XML (eXtensible Markup Language), each serving different purposes and use cases. Understanding data formats is crucial for data management, as they influence data processing efficiency, compatibility with various tools, and the ability to maintain data integrity during storage and transmission. Choosing the right format can significantly impact data analysis and application performance.

File Formats

Codecademy

File formats determine how information or data, such as text and images, are created, stored, and read. Each file format has a unique extension. For example, a CSV (Comma Separated Values) file has th...

Data Loading, Storage, and File Formats

Python for Data Analysis Book

Reading data and making it accessible (often called data loading ) is a necessary first step for using most of the tools in this book. The term parsing is also sometimes used to describe loading text ...

Data Loading, Storage, and File Formats

Python for Data Analysis Book

A Comprehensive Guide to File Formats in Data Engineering

Python in Plain English

Understanding the Pros and Cons of using CSV, JSON, Parquet, Avro, and ORC file format in Data Engineering. Photo by Mika Baumeister on Unsplash Introduction In big data and data engineering, choosing...

File Formats

The Python Standard Library

File Formats The modules described in this chapter parse various miscellaneous file formats that aren’t markup languages and are not related to e-mail. csv — CSV File Reading and Writing Module Conte...

Data Types

Codecademy

Data types represent different types of data such as numbers, booleans, strings, etc. As an object-oriented language, all data types are based on classes. Numbers Ruby has different types of numbers s...

Data Types

Codecademy

Data is foundational in programming and is classified into different types to indicate how it can be interpreted, compiled, and used in software. For the most part, data types are categorized into two...

Data Types

Codecademy

Data types are the classifications given to the different kinds of values used in everyday programming. In Go, there are seven fundamental data types: Numbers, Strings, Booleans, Arrays, Structs, Slic...

Comparing Performance of Big Data File Formats: A Practical Guide

Towards Data Science

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly ...

Find Datasets: Soul of a Data Scientist

Python in Plain English

A dataset is simply a collection of data. The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format (a single file organized as a table of rows and columns)…

Long and Wide Formats in Data, Explained

Towards Data Science

How to deal with them Pandas-style Continue reading on Towards Data Science

Data Types

Codecademy

Data types provide categories for values we store in tables. Types are assigned to fields through table creation and are responsible for determining some of the attributes and constraints (such as the...