Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn

Book Description

Data Visualization using Python for Beginners

Are you looking for a hands-on approach to learn Python for Data Visualization Fast?

Do you need to start learning Python for Data Visualization from Scratch?

This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python.

Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns.

This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science.

We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc .

What this book offers…

You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises.

Clear and Easy to Understand Solutions

All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill.

What this book aims to do…

This book is written with one goal in mind – to help beginners overcome their initial obstacles to learning Data Visualization using Python.

A lot of times, newbies tend to feel intimidated by coding and data.

The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project.

Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time.

Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book

Topics Covered:

• Basic Plotting with Matplotlib
• Advanced Plotting with Matplotlib
• Introduction to the Python Seaborn Library
• Advanced Plotting with Seaborn
• Introduction to Pandas Library for Data Analysis
• Pandas for Data Visualization
• 3D Plotting with Matplotlib
• Interactive Data Visualization with Bokeh

Interactive Data Visualization with Plotly Hands-on Project Exercises

中文：

书名：初学者使用Python实现数据可视化：使用Pandas、Matplotlib和Seborn可视化数据

初学者使用Python进行数据可视化

Are you looking for a hands-on approach to learn Python for Data Visualization Fast?

Do you need to start learning Python for Data Visualization from Scratch?

这本书是给你的。这本书是介绍基本的Python库的指南，也是使用Python进行数据可视化的基础。

数据科学和数据可视化是两个不同但又相互关联的概念。数据科学指的是提取和探索数据，以便找到可用于不同级别决策的模式的科学。数据可视化可以被认为是数据科学的一个子领域，您可以通过图形和表格来可视化数据，以便找出哪些数据最重要，并有助于识别重要模式。

本书致力于数据可视化，并解释了如何使用用Python编程语言编写的各种数据可视化库在各种数据集上执行数据可视化。建议您仅将本书用于数据可视化目的，而不是用于决策。对于决策和模式识别，请结合一本关于机器学习和数据科学的专门书籍阅读本书。

我们将从深入研究Python编程开始，因为所有的项目都是使用它开发的，而且它是目前世界上使用最多的编程语言。我们还将探索最著名的数据可视化库，如Pandas、Numpy、Matplotlib、Seborn等。

这本书提供了什么&8230；

您将在三个模块中学习有关Python的所有内容，一个用于使用Matplotlib进行绘制，一个用于使用Seborn进行绘制，最后一个用于数据可视化的Pandas。所有三个模块都将包含使用真实世界数据集的动手项目和大量练习。

清晰易懂的解决方案

本书中的所有解决方案都经过了一组测试版读者的广泛测试。所提供的解决方案已尽可能简化，以便您在学习一项新技能时可以作为参考。

这本书的目标是什么&#8230；

这本书的目的只有一个–帮助初学者克服学习使用Python进行数据可视化的最初障碍。

很多时候，新手往往会对编码和数据感到害怕。

这本书的目标是隔离不同的概念，以便初学者在从事项目之前能够逐渐掌握Python的基础知识。

当你一步一步走的时候，你不需要害怕或沮丧，因为你是一名新手。

准备好使用Python练习和可视化您的数据了吗？现在点击购买按钮下载本书

涵盖的主题：

• 使用Matplotlib进行基本绘图
• 使用Matplotlib进行高级打印
• PythonSeborn库简介
• 通过海运进行高级打印
• 熊猫数据分析类库简介
• Pandas for Data Visualization
• 使用Matplotlib进行三维打印
• Interactive Data Visualization with Bokeh

通过插图实践项目练习实现交互式数据可视化