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Data Wrangling with JavaScript
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With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!
Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier.
about the book
Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you’ll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You’ll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit.
what's inside
• Establishing a data pipeline
• Acquisition, storage, and retrieval
• Handling unusual data sets
• Cleaning and preparing raw data
• Interactive visualizations with D3
about the reader
Written for intermediate JavaScript developers. No data analysis experience required.
about the author
Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript.
Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier.
about the book
Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you’ll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You’ll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit.
what's inside
• Establishing a data pipeline
• Acquisition, storage, and retrieval
• Handling unusual data sets
• Cleaning and preparing raw data
• Interactive visualizations with D3
about the reader
Written for intermediate JavaScript developers. No data analysis experience required.
about the author
Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript.
년:
2018
판:
1
출판사:
Manning Publications
언어:
english
페이지:
430
ISBN 10:
1617294845
ISBN 13:
9781617294846
파일:
PDF, 14.33 MB
개인 태그:
IPFS:
CID , CID Blake2b
english, 2018
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