R Package to Quickly and Neatly Summarize Data

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

Personal repository of data science demonstrations and references

I will update this repository to learn Machine learning with python with statistics content and materials

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

Generate descriptive statistics

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Easy and thorough description of datasets

R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

Astetik takes away the pain from telling visual stories with data on Python

A Crystal shard to perform descriptive statistics and sampling on popular distributions

Descriptive Statistics for Elixir

Easily make descriptive statistics tables

Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics

Clinical Trial related calculation: descriptive statistics, power and sample size calculation, power simulations, confidence interval, pharmacokinetics / pharmacodynamics parameters calculation.

Unix command line tool for statistics.

Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.

This is a Descriptive Analytics Project which consists of various univariate, bivariate and multivariate data analysis on multiple data sets and their variables using R and its various statistical packages

describr - publication quality descriptive tables with R

Python package containing functions implemented for descriptive and inferential statistics.

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

Material de estudo em R.

The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.

Examples on Descriptive Statistics and Linear Algebra in Python

Introduction to data analytics

Crosstable Assistant GUI

🍪 Data Analysis of Amazon Fine Food Reviews using Hadoop and Map/Reduce