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Data Wrangling with ­JavaScript

Rating
15 Ratings by Goodreads
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Format
Paperback, 432 pages
Published
United States, 1 December 2018


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.



Key Features


· How to handle unusual data sets


· Cleaning and preparing raw data


· Visualizing your results



Audience


Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed.



Author Bio


Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.


Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.

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Our Price
HK$399
Ships from UK Estimated delivery date: 9th Jun - 16th Jun from UK
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Product Description


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.



Key Features


· How to handle unusual data sets


· Cleaning and preparing raw data


· Visualizing your results



Audience


Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed.



Author Bio


Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.


Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.

Show more
Product Details
EAN
9781617294846
ISBN
1617294845
Dimensions
23.1 x 19.1 x 2 centimeters (0.73 kg)

About the Author

Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.

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