Quartile Deviation measures the distribution of values in a dataset. It is used to measure a dataset’s variability and discover outliers. It is computed by finding the difference between the third and first quartile and dividing the result by the interquartile range.
Feb 06, 2026
"*" indicates required fields
Predictive lead scoring helps marketing and sales teams rank incoming
Market Basket Analysis helps retailers and analytics teams uncover which
Your CFO sees $40 million in inventory and asks why it is not $30 million. Your…
Last quarter your demand plan called for 12,000 units. POS came in at 15,200. The gap…
Registered Office: Latent View Analytics Limited, 5th Floor, Neville Tower, Unit 6, 7 and 8, Ramanujan IT City, Rajiv Gandhi Salai, Taramani, Chennai – 600113, Tamil Nadu, India
Tel: +91 044 4344 1700 | Email: investorcare@latentview.com | CIN: L72300TN2006PLC058481
.svg){kind=icon}
.svg){kind=icon}
