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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
An implementation of Ted Dunning's t-digest in Go.
t-digest module for Redis
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
High performance, native (C) implementations of various statistical functions
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
redis module for percentile estimation
Counter, gauge, and histogram base metrics for Go
Free WordPress Plugin: The percentile calculator helps to find percentile values for a data set. Use this percentile calculator to create a table listing each 5th percentile www.calculator.io/percentile-calculator/
R peaks detection in ECGs using wavelet decomposition and higher statistics, implemented in MATLAB
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
A collection of simple Python Programs for Applied Statistics.
A vuejs dashboard, based on vuepoint which runs on a UDOO Neo board used to control AC and DC loads in a fish tank.
Generates visualisation of that encourages doing work right now. Rather than postponing it to a later part of the day. Generator of percentile feedback image for a Beemider goal.
Raised cosine distribution median.
Degenerate distribution median.
Exponential distribution median.
Geometric distribution median.
Laplace distribution median.
Lognormal distribution median.
Rayleigh distribution median.
Student's t distribution median.
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 Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company. B. Specify the 5th percentile of profit (in Rupees) for the company C. Which of the two divisions has a larger probability of making a loss in a given year?
"percentile" is a CLI tool to calculate percentile from a file.
This my RFM Analysis project. RFM analysis is a business concept check my WORD Document to know more about it and why it is important.
Assignment Advance Stats