t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
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Updated
May 4, 2023 - Python
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
Distributions visualized
A library to compute histograms on distributed environments, on streaming data
Conversion from Grading System to Percent. This is an approximate assumption as the grade system ranges the percent of an individual.
Query and analyze percentiles of player levels on Steam.
Calculate Percentiles from raw Prometheus Blackbox exporter logs
This is a successful submission to the INSIGHT data engineering challenge for the session starting on April 16, 2018
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library ma…
1-Outlier detection and removal of the outlier by Using IQR The Data points consider outliers if it's below the first quartile or above the third quartile 2-Remove the Outliers by using the percentile 3-Remove the outliers by using zscore and standard deviation
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