Data Wrangling with JavaScript
- Indbinding:
- Paperback
- Sideantal:
- 432
- Udgivet:
- 29. marts 2019
- Størrelse:
- 188x233x22 mm.
- Vægt:
- 748 g.
- Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025
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- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af 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
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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