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Data Wrangling with JavaScript

Om Data Wrangling with JavaScript

Summary Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end. 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 pipelineAcquisition, storage, and retrievalHandling unusual data setsCleaning and preparing raw dataInteractive 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. Table of Contents Getting started: establishing your data pipelineGetting started with Node.jsAcquisition, storage, and retrievalWorking with unusual dataExploratory codingClean and prepareDealing with huge data filesWorking with a mountain of dataPractical data analysisBrowser-based visualizationServer-side visualizationLive dataAdvanced visualization with D3Getting to production

Visa mer
  • Språk:
  • Okänt
  • ISBN:
  • 9781617294846
  • Format:
  • Häftad
  • Sidor:
  • 432
  • Utgiven:
  • 29. mars 2019
  • Mått:
  • 188x233x22 mm.
  • Vikt:
  • 748 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 8. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av Data Wrangling with JavaScript

Summary
Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end.
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 pipelineAcquisition, storage, and retrievalHandling unusual data setsCleaning and preparing raw dataInteractive 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.
Table of Contents
Getting started: establishing your data pipelineGetting started with Node.jsAcquisition, storage, and retrievalWorking with unusual dataExploratory codingClean and prepareDealing with huge data filesWorking with a mountain of dataPractical data analysisBrowser-based visualizationServer-side visualizationLive dataAdvanced visualization with D3Getting to production

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