t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
-
Updated
May 4, 2023 - Python
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
Faster implementation of Stata's collapse, reshape, xtile, egen, isid, and more using C plugins
t-digest module for Redis
Child growth charting library for React
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
High performance, native (C) implementations of various statistical functions
Web application that charts and compares multiple frame time logs at the same time. Compatible with FPS benchmarking programs such as PresentMon, OCAT, FrameView, CapFrameX, GeForce Experience or MangoHud
Distributions visualized
Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 3^2) and Profit2 ~ N(7, 4^2) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45 A. Specify a Rup…
Continuous Norming with R
redis module for percentile estimation
A library to compute histograms on distributed environments, on streaming data
💯 An example application for calculating percentile ranks
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
Spark Percentile user defined aggregation in java
Conversion from Grading System to Percent. This is an approximate assumption as the grade system ranges the percent of an individual.
🍀 An interactive simulation to explore the effect of luck in success
Add a description, image, and links to the percentile topic page so that developers can more easily learn about it.
To associate your repository with the percentile topic, visit your repo's landing page and select "manage topics."