Data Visualization with Python: Your guide to understanding your data
暫譯: 使用 Python 進行資料視覺化:理解資料的指南

Tim Großmann, Mario Döbler

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商品描述

Understand, explore, and effectively present data using the powerful data visualization techniques of Python.

Key Features

  • Uses real data to explain the visualization concepts
  • Explains industry standard plotting libraries, such as Matplotlib and Seaborn
  • Takes a hands-on approach and explains concepts with real-world examples

Book Description

With so much data being continuously generated, developers with a knowledge of data analytics and data visualization are always in demand. Data Visualization with Python, shows you how to use Python with NumPy, Pandas, Matplotlib, and Seaborn to create impactful data visualizations with real world, public data.

You'll begin the course with an introduction to data visualization and its importance. Then, you'll learn about statistics by computing mean, median, and variance for the some numbers, and observing the difference in their values. You'll also learn about Numpy and Pandas, such as indexing, slicing, iterating, filtering, and grouping. Next, you'll study different types of visualizations, compare them, and find out how to select a particular type of visualization using this comparison. You'll explore different plots, such as relation plots, distribution plots, and geo plots. Then, you'll move on to create custom plots with a dataset by choosing an appropriate library. After you get a hang of the various visualization libraries, you'll learn to work with Matplotlib and Seaborn to simplify the process of creating visualizations. You'll also be introduced to advanced visualization techniques, such as geoplots and interactive plots. You'll learn how to make sense of geospatial data, create interactive visualizations that can be integrated into any webpage, and take any dataset to build beautiful and insightful visualizations.You'll study how to plot geospatial data on a map using Choropleth plot, and study the basics of Bokeh, extend plots by adding widgets, and animate the information and the plot.

The course will complete with one last activity in which you will be given a new dataset, and you'll apply everything you've learned to create insightful visualizations.

What you will learn

  • Understand and use various plots
  • Explore and work with different plotting libraries 
  • Understand and create effective visualizations 
  • Improve your Python data wrangling skills
  • Work with industry standard tools
  • Understand different data formats and representations

Who This Book Is For

Data Visualization with Python is designed for developers and scientists, who want to get into data science, or want to use data visualizations to enrich their personal and professional projects. You do not need any prior experience in data analytics and visualization, however it'll help you to have some knowledge of Python and high school level mathematics. Even though this is a beginner level course on data visualization, experienced developers will benefit from improving their Python skills working with real world data.

商品描述(中文翻譯)

了解、探索並有效地使用 Python 的強大數據視覺化技術來呈現數據。

主要特點


  • 使用真實數據來解釋視覺化概念

  • 解釋行業標準的繪圖庫,如 Matplotlib 和 Seaborn

  • 採取實作方式,並用真實世界的例子來解釋概念

書籍描述

隨著大量數據不斷生成,具備數據分析和數據視覺化知識的開發者始終受到需求。《Data Visualization with Python》將教你如何使用 Python 與 NumPy、Pandas、Matplotlib 和 Seaborn 來創建具有影響力的數據視覺化,並使用真實的公共數據。

你將從數據視覺化及其重要性的介紹開始這門課程。接著,你將通過計算一些數字的平均數、中位數和方差來學習統計,並觀察它們的值之間的差異。你還將學習 Numpy 和 Pandas 的使用,例如索引、切片、迭代、過濾和分組。然後,你將研究不同類型的視覺化,進行比較,並找出如何根據這些比較來選擇特定類型的視覺化。你將探索不同的圖表,如關係圖、分佈圖和地理圖。接下來,你將選擇合適的庫來使用數據集創建自定義圖表。在熟悉各種視覺化庫後,你將學習如何使用 Matplotlib 和 Seaborn 簡化創建視覺化的過程。你還將接觸到高級視覺化技術,如地理圖和互動圖。你將學習如何理解地理空間數據,創建可以集成到任何網頁中的互動視覺化,並利用任何數據集構建美觀且富有洞察力的視覺化。你將學習如何使用 Choropleth 圖在地圖上繪製地理空間數據,並學習 Bokeh 的基礎知識,通過添加小部件來擴展圖表,並為信息和圖表添加動畫。

課程將以最後一個活動結束,你將獲得一個新的數據集,並應用你所學到的所有知識來創建有洞察力的視覺化。

你將學到什麼


  • 理解並使用各種圖表

  • 探索並使用不同的繪圖庫

  • 理解並創建有效的視覺化

  • 提高你的 Python 數據處理技能

  • 使用行業標準工具

  • 理解不同的數據格式和表示方式

本書適合誰

《Data Visualization with Python》是為希望進入數據科學的開發者和科學家設計的,或希望使用數據視覺化來豐富他們的個人和專業項目。你不需要具備任何數據分析和視覺化的先前經驗,但如果你對 Python 和高中數學有一些了解會更有幫助。儘管這是一門針對初學者的數據視覺化課程,但有經驗的開發者也能從使用真實世界數據來提高他們的 Python 技能中受益。