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A moving average is used to smooth out a time series. Computing moving average is a typical case of ordered data computing. Its basic computing method is to create a subset composed of N consecutive members of a time series, compute the average of the set and shift the subset forward one by one. The following example teaches you how to compute moving average in R language.…

ContinueAdded by Jessica May on October 14, 2014 at 1:00am — 1 Comment

Generally, Java programmers use *poi* or other open source packages to read and compute Excel data. These open source packages support low-level programming, which increases the overall learning cost and complicates the operation. But with the help of esProc, Java can avoid these problems.…

Added by Jessica May on October 8, 2014 at 12:26am — No Comments

- How to Compute Moving Average in R Language and Python
- A use case to read and analyze Excel data in Java
- Data alignment join in Java for easier text analytics
- Calculation cases of Link Relative Ratio and Year-on-year Comparison in data analytics
- Code Examples of cross database relational computing in Java
- 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 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
- What difficulties SQL have in OLAP

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