Hands-On Data Analysis with Scala by Rajesh Gupta
Author:Rajesh Gupta [Rajesh Gupta]
Language: eng
Format: epub
Tags: COM018000 - COMPUTERS / Data Processing, COM021030 - COMPUTERS / Databases / Data Mining, COM089000 - COMPUTERS / Data Visualization
Publisher: Packt
Published: 2019-05-02T13:49:25+00:00
Computing percentiles is relatively more expensive because it requires data to be sorted.
We can also use Scala collection APIs to get some of this info:
Count the numbers:
scala> val count = nums.size
count: Int = 100
Compute the mean value of the numbers:
scala> val mean = nums.sum.toDouble / count
mean: Double = 50.5
Compute the minimum value of the numbers:
scala> val min = nums.min
min: Int = 1
Compute the maximum value of the numbers:
scala> val max = nums.max
max: Int = 100
Sort the numbers in ascending order. This is needed to compute percentiles in the next steps:
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| Access | Data Mining |
| Data Modeling & Design | Data Processing |
| Data Warehousing | MySQL |
| Oracle | Other Databases |
| Relational Databases | SQL |
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