The Book of Dash: Build Dashboards with Python and Plotly (Paperback)

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty.

A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you'll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You'll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You'll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes.

In this book you will:

• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media and API data
• Create a variety of stunning and effective charts using Plotly
• Learn to use bar charts, chloropleth maps, contour plots, and more
• Examine and build on existing apps written by the pros


• Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

使用Dash可視化和數據分析工具，在Python中創建令人驚艷的交互式儀表板應用程序。構建能夠理解數據並使其美觀的界面。

這本書是一個快節奏的實用介紹，適合完全沒有儀表板經驗的讀者。它將引導您了解必要的軟件，然後直接開始構建儀表板。您將通過一個Twitter分析儀表板學習Dash應用程序的基本格式，該應用程序跟踪時間內的點贊數。然後，您將通過三個更複雜的項目逐步提升技能。第一個項目比較了三個領域的世界數據：互聯網使用量、女性佔國會議席的百分比和二氧化碳排放量；第二個項目是一個金融投資組合儀表板，模擬您的投資；第三個項目則是可視化機器學習算法。最後一章將為您提供一些有用的最終技能，例如調試代碼和應用顏色主題。

在本書中，您將學到以下內容：
- 創建和運行您的第一個Dash應用程序
- 使用pandas庫來操作和分析社交媒體和API數據
- 使用Plotly創建各種令人驚艷和有效的圖表
- 學習使用條形圖、氯化物地圖、等高線圖等
- 檢查並構建專業人士編寫的現有應用程序

Dash結合了多種技術，讓您能夠快速高效地構建儀表板。本書也將以同樣的方式引導您。

Adam Schroeder has been teaching Plotly Dash for over two years on YouTube as @CharmingData. His videos have over 60 thousand views per month. Adam is passionate about helping people learn data visualization. He has an M.A. in Government and Conflict Resolution and currently works at Plotly.

Christian Mayer has a PhD in computer science and is the founder of the popular Python site Finxter.com, an educational platform that helps more than 3 million people a year learn to code. He has published a number of books, including the Coffee Break Python series, and is the author of Python One-Liners (No Starch Press, 2020).

Ann Marie Ward is a Dash contributor and a moderator on the Dash community forum. Ann Marie has a BA in Economics and is a retired CEO. She discovered Dash when searching for a better way to analyze financial data and was so amazed by what's possible to create with Dash that she started to learn Python, JavaScript and R. Her contributions to Dash include improving documentation, fixing bugs, and adding features.

Adam Schroeder（@CharmingData）在YouTube上已經教授Plotly Dash超過兩年。他的影片每個月有超過6萬次觀看。Adam熱衷於幫助人們學習數據可視化。他擁有政府和衝突解決的碩士學位，目前在Plotly工作。

Christian Mayer擁有計算機科學博士學位，是流行的Python網站Finxter.com的創始人，該教育平台每年幫助超過300萬人學習編程。他出版了多本書籍，包括《Coffee Break Python》系列，並且是《Python One-Liners》（No Starch Press，2020）的作者。

Ann Marie Ward是Dash的貢獻者，也是Dash社區論壇的版主。Ann Marie擁有經濟學學士學位，是一位退休的首席執行官。她在尋找更好的分析金融數據的方法時發現了Dash，對Dash可以創造的可能性感到驚訝，於是開始學習Python、JavaScript和R。她對Dash的貢獻包括改進文檔、修復錯誤和添加功能。