The Book of Dash - Build Interactive Data Analysis and Visualization Apps with Python and Plotly
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12,99 €
| Verlag | No Starch Press |
| Auflage | 2022 |
| Seiten | 224 |
| Format | 17,6 x 1,4 x 23,9 cm |
| Gewicht | 432 g |
| Artikeltyp | Englisches Buch |
| EAN | 9781718502222 |
| Bestell-Nr | 71850222UA |
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 da ta 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 appsUse the pandas library to manipulate and analyze social media and API dataCreate a variety of stunning and effective charts using PlotlyLearn to use bar charts, chloropleth maps, contour plots, and moreExamine 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.
Inhaltsverzeichnis:
Acknowledgments
Introduction
PART I: CRASH COURSES
Chapter 1: Python Refresher
Chapter 2: PyCharm Tutorial
Chapter 3: Pandas Crash Course
PART II: BUILDING APPLICATIONS
Chapter 4: First Dash App
Chapter 5: Global Data Analysis: Advanced Layouts and Graphs
Chapter 6: Investment Portfolio: Building Larger Apps
Chapter 7: Exploring Machine Learning
Chapter 8: Tips and Tricks
Appendix: Python Basics
Index