boxplot

Data plotting library for Rust

Draw various frames and boxes in your terminal window

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

Chart.js Box Plot addon

Polymer Element wrapper for highcharts library. Seamlessly create various types of charts from one element.

R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.

A repository comprising multiple functions for making elegant publication-quality figures in MATLAB

Chart.js Box Plots and Violin Plot Charts

Development version of vioplot R package (CRAN maintainer)

d3js box plot plugin

Simple SVG box plots in React

Python package containing functions implemented for descriptive and inferential statistics.

A development version of the vioplot R package. This has been migrated to "vioplot" as version 0.3.

demir.ai Dataset Operations

In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R

[MATLAB] An improved box plot that shows the data-points along with the median and the quartiles.

A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.

D3 violin, box and swarm plots

Data _set: Cars.csv Calculate the probability of MPG of Cars for the below cases. MPG <- Cars$MPG a. P(MPG>38) b. P(MPG<40) c. P (20<MPG<50)

Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56. Find mean, median, variance, standard deviation. What can we say about the student marks?

Package for automation of statistics that are widely used in metabolomics.

A beginners tutorial for using Python for exploratory analyses

Cancer Analysis in mice using Matplotlib | Linear Regression

This repo contains resources for getting data to prediction based on data.

A simple boxplot Javascript library with various quantiles options (like R)

A boxplot implementation as a custom control in JavaFX.

24. TABLE 1–1 Boston Condominium Data Asking_Price Number_of_Bedrooms Number_of_Bathrooms Direction_Facing Washer/Dryer? Doorman? $709,000 2 1 E Y Y 812,500 2 2 N N Y 980,000 3 3 N Y Y 830,000 1 2 W N N 850,900 2 2 W Y N Data in 100 dollars: 7090, 8125, 9800, 8300, 8509

R_basics- Earth Quake data