Description
Data Wrangling, 1st ed.
Munging in R with SQL and MongoDB for Financial Applications
Language: EnglishSubjects for Data Wrangling:
280 p. · 15.5x23.5 cm · Paperback
Publication Abandoned
Description
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Use R to gather, clean, and manage financial data in structured and unstructured databases. Learn how to read and write the increasing volume and complexity of data from and between SQL and MongoDB databases.
What You'll Learn
- Use a rich feature set of R for financial data analytics
- Employ an integrated comparison-based learning approach to SQL and NoSQL database management, including query and insert constructs
- Understand data wrangling best practices and solutions
- Be exposured to cutting-edge database technologies such as text-based analytics and their financial applications
- Study an abundance of practical examples from the real world of finance
Who This Book Is For
Data analysts in the financial industry, data analysts in nonfinancial fields, and those who deal with data in their professional or academic work
Teaches practitioners and students how to gather, clean, and manage financial data in R for data analysis of SQL and MongoDB databases
Covers data wrangling, the most universally portable skill set in the realm of data science because it is a prerequisite of any real-world data analysis task
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