descriptive-statistics
There are 14 repositories under descriptive-statistics topic.
- summarytools
dcomtois / summarytools
R Package to Quickly and Neatly Summarize Data
Language:R 495 HLasse / TextDescriptives
A Python library for calculating a large variety of metrics from text
Language:Python 286laresbernardo / lares
Analytics & Machine Learning R Sidekick
Language:R 229- Language:R 218
pablo14 / data-science-live-book
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Language:TeX 216kaz-yos / tableone
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
Language:R 203- crosstable
DanChaltiel / crosstable
Easy and thorough description of datasets
Language:R 104 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 Notebook 93sharmaroshan / 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 Notebook 87- data-science-journal
chrisluedtke / data-science-journal
Personal repository of data science demonstrations and references
Language:Jupyter Notebook 72 nursnaaz / 25DaysInMachineLearning
I will update this repository to learn Machine learning with python with statistics content and materials
Language:Jupyter Notebook 58TysonStanley / 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:R 49kaishengteh / Data-Analyst-Nanodegree
Kai Sheng Teh - Udacity Data Analyst Nanodegree
Language:HTML 45- descriptr
rsquaredacademy / descriptr
Generate descriptive statistics
Language:R 34 isubirana / compareGroups
R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.
Language:HTML 32john-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:R 17lbarasti / statistics
A Crystal shard to perform descriptive statistics and sampling on popular distributions
Language:Crystal 16- Language:Python 15
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:R 11Chandrakant817 / Statistics-for-Data-Science
Statistics for Data Science and Machine Learning Handwritten Notes
nvmoyar / datascience_notebooks
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
Language:Jupyter Notebook 11xiaojie-qian / Introduction-to-Statistics
Introduction to Statistics Stanford University
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.
data-sciencemachine-learning-algorithmsrdescriptive-statisticshypothesis-testingforecasting-modelslinear-regressionlogistic-regressionnlp-machine-learningprinciple-component-analysisassociation-rulesconfidence-intervalsclustering-algorithmdecision-tree-classifierdecision-treek-nearest-neighboursnaive-bayes-classifierrandom-forestsupport-vector-machineLanguage:R 10- 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 Notebook 9 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:TSQL 9lwjohnst86 / carpenter
Easily make descriptive statistics tables
Language:R 9pusewicz / descriptive_statistics
Descriptive Statistics for Elixir
Language:Elixir 9mrinalcs / india-literacy
A look at literacy in India using R | Descriptive statistics | Analysis on Literacy rate | Census 2011
Language:R 8imbi-heidelberg / DescrTab2
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
Language:R 7- Language:C 7
alandefreitas / scistats
High-Performance Descriptive Statistics and Hypothesis Tests in C++20
Language:C++ 5allawadhiastha / Statistical-Analysis
Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.
Language:Jupyter Notebook 5The 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:R 5ksatola / Medical-Appointments-No-Shows
Investigate a dataset of appoinment records for Brasil public hospitals
Language:Python 5rafi007akhtar / stapy
Python package containing functions implemented for descriptive and inferential statistics.
Language:Python 5rkapur102 / 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:R 5
