t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
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Updated
Oct 12, 2022 - 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
A library to compute histograms on distributed environments, on streaming data
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
redis module for percentile estimation
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
Child growth charting library for React
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
R peaks detection in ECGs using wavelet decomposition and higher statistics, implemented in MATLAB
Distributions visualized
A collection of simple Python Programs for Applied Statistics.
Rayleigh distribution median.
Topics: Normal distribution, Functions of Random Variables
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
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