descriptive-statistics

There are 438 repositories under descriptive-statistics topic.

  • summarytools

    dcomtois/summarytools

    R Package to Quickly and Neatly Summarize Data

    Language:R5232017479

  • HLasse/TextDescriptives

    A Python library for calculating a large variety of metrics from text

    Language:Python31878423

  • laresbernardo/lares

    Analytics & Machine Learning R Sidekick

    Language:R233125049

  • mayoverse/arsenal

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

    Language:R223832214

  • pablo14/data-science-live-book

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

    Language:TeX221241114

  • kaz-yos/tableone

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

    Language:R217198641

  • sharmaroshan/Statistics-for-Data-Science

    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.

    Language:Jupyter Notebook1294061
  • crosstable

    DanChaltiel/crosstable

    Easy and thorough description of datasets

    Language:R1163818

  • weijie-chen/Basic-Statistics-With-Python

    Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

    Language:Jupyter Notebook1105140
  • data-science-journal

    chrisluedtke/data-science-journal

    Personal repository of data science demonstrations and references

    Language:Jupyter Notebook765032

  • nursnaaz/25DaysInMachineLearning

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

    Language:Jupyter Notebook5819068

  • TysonStanley/furniture

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

    Language:R503247

  • kaishengteh/Data-Analyst-Nanodegree

    Kai Sheng Teh - Udacity Data Analyst Nanodegree

    Language:HTML442037

  • glevv/obscure_stats

    A small collection of lesser-known statistical measures

    Language:Python38115
  • descriptr

    rsquaredacademy/descriptr

    Generate descriptive statistics

    Language:R3655711

  • isubirana/compareGroups

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

    Language:HTML3534013

  • Chandrakant817/Statistics-for-Data-Science

    Statistics for Data Science and Machine Learning Handwritten Notes

    25206

  • john-m-burleson/NHANES-R-Programming

    This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

    Language:R22105

  • xiaojie-qian/Introduction-to-Statistics

    Introduction to Statistics Stanford University

    21104

  • autonomio/astetik

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

    Language:Python175305

  • lbarasti/statistics

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

    Language:Crystal16402
  • IR-UWB

    gbazack/IR-UWB

    This repository contains codes and data related to the project Multi-human detection with impulse radio ultra-wideband (ir-uwb) radar sensors.

    Language:Jupyter Notebook14201

  • brad-cannell/freqtables

    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.

    Language:R133441

  • pravinknr/DataScience_R_Codes

    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.

    Language:R122024

  • nvmoyar/datascience_notebooks

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

    Language:Jupyter Notebook113013

  • HuongTram11/SQL-for-Data-Analysis

    SQL data analysis project from basic statistics like median, min, max, avg,etc to percentile, correlation or linear regression

    Language:TSQL10105

  • imbi-heidelberg/DescrTab2

    This package provides functions to create descriptive statistics tables for continuous and categorical variables.

    Language:R92137

  • lwjohnst86/carpenter

    Easily make descriptive statistics tables

    Language:R95223

  • mrinalcs/india-literacy

    A look at literacy in India using R | Descriptive statistics | Analysis on Literacy rate | Census 2011

    Language:R9200

  • pusewicz/descriptive_statistics

    Descriptive Statistics for Elixir

    Language:Elixir9511

  • osiewicz/Statula

    Unix command line tool for statistics.

    Language:C81910

  • arunp77/Statistics-fundamental

    Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:

    Language:Jupyter Notebook6101

  • ksatola/Medical-Appointments-No-Shows

    Investigate a dataset of appoinment records for Brasil public hospitals

    Language:Python62013

  • alandefreitas/scistats

    High-Performance Descriptive Statistics and Hypothesis Tests in C++20

    Language:C++540

  • brad-cannell/meantables

    The goal of meantables is to quickly make tables of descriptive statistics (i.e., counts, means, confidence intervals) for continuous 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.

    Language:R52181

  • rkapur102/language_phylogeny_feature_simulations

    Simulations of language evolution and phylogenetic/feature dynamics, as described in: "Kapur, Rhea and Phillip Rogers. 2020. Modeling language evolution and feature dynamics in a realistic geographic environment. 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain."

    Language:R5100