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It is common to use R language to group and summarize data of files. Sometimes we may find ourselves processing comparatively big files which have smaller computed result and bigger source data. We cannot load them wholly to the memory when we need to compute them. The only solutions could be batch importing and computing as well as result merging. We’ll use an example in the following to illustrate the way of R language to group and summarize data from big text files.

Here is a file,…

ContinueAdded by Jessica May on August 24, 2014 at 8:54pm — 2 Comments

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- How to Compute Moving Average in R Language and Python
- A Method of Grouping and Summarizing Data of Big Text Files in R Language
- Some Cases illustrating drawbacks of SQL in data computing and analytics
- How to Process Text Files in the Data Analytics
- Code Examples of cross database relational computing in Java
- Data alignment join in Java for easier text analytics
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