Data Visualization with Python: Your guide to understanding your data

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、探索並有效呈現數據,使用Python強大的數據可視化技術。

主要特點:

- 使用真實數據解釋可視化概念
- 解釋行業標準的繪圖庫,如Matplotlib和Seaborn
- 以實際案例進行實踐,解釋概念

書籍描述:

《Python數據可視化》向您展示如何使用Python的NumPy、Pandas、Matplotlib和Seaborn與真實世界的公共數據創建有影響力的數據可視化。

您將從數據可視化及其重要性的介紹開始。然後,您將通過計算一些數字的平均值、中位數和變異數,觀察它們之間的差異,來學習統計學。您還將學習Numpy和Pandas的使用,例如索引、切片、迭代、過濾和分組。接下來,您將研究不同類型的可視化,比較它們,並找出如何使用這種比較選擇特定類型的可視化。您將探索不同的圖表,如關係圖、分佈圖和地理圖。然後,您將選擇適當的庫來使用數據集創建自定義圖表。在熟悉各種可視化庫之後,您將學習使用Matplotlib和Seaborn簡化創建可視化的過程。您還將介紹高級可視化技術,如地理圖和交互式圖。您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交互式可視化,並使用任何數據集來建立美觀且有洞察力的可視化。您將學習如何使用Choropleth圖在地圖上繪製地理空間數據,並學習Bokeh的基礎知識,通過添加小部件擴展圖表,以及動畫信息和圖表。

課程將以最後一個活動結束,您將獲得一個新的數據集,並應用您所學的一切來創建有洞察力的可視化。

您將學到什麼:

- 理解並使用各種圖表
- 探索並使用不同的繪圖庫
- 理解並創建有效的可視化
- 提升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形式

適合閱讀對象:

《Python數據可視化》適用於希望進入數據科學領域或希望使用數據可視化豐富其個人和專業項目的開發人員和科學家。您不需要任何先前的數據分析和可視化經驗,但了解Python和高中數學水平將對您有所幫助。即使這是一個初級數據可視化課程,有經驗的開發人員也將受益於使用真實世界數據提高他們的Python技能。