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An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with boxplot

A curated list of projects in awesome lists tagged with boxplot .

https://github.com/milliams/plotlib

Data plotting library for Rust

boxplot chart histogram line-chart plot rust scatter-plot

Last synced: 15 May 2025

https://github.com/milaan9/12_python_seaborn_module

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.

barplots boxplot data-visualization distplot facetgrid heatmap ipython-notebooks lmplot python-seaborn python-visualization python4datascience python4everybody scatterplot-visualization seaborn seaborn-image seaborn-plots seaborn-tutorial stripplots tutor-milaan9 violinplot

Last synced: 06 Apr 2025

https://github.com/piotrmurach/tty-box

Draw various frames and boxes in your terminal window

border box-drawing boxplot console frame ruby rubygem terminal terminal-graphics tty

Last synced: 16 May 2025

https://github.com/avdaredevil/highcharts-chart

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

barchart bower boxplot chart chart-component google-polymer graph graphing highcharts highcharts-chart pie-chart plot plotting polymer visualization webcomponents

Last synced: 17 Mar 2025

https://github.com/stefan-schroedl/plotluck

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.

automatic box-plot boxplot cleveland data-visualization density-plot ggplot2 heatmap hexbin plot r scatter scatter-plot spine-plot violin-plot visualization

Last synced: 16 Mar 2025

https://github.com/TomKellyGenetics/vioplot

Development version of vioplot R package (CRAN maintainer)

boxplot colours cran customisation dataviz formula package plotting r r-package rstats violin-plot violinplot vioplot

Last synced: 30 Jul 2025

https://github.com/chandraprakash-bathula/apparel-recommendations

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

boxplot cnn-keras data-analysis data-science deep-learning linear-regression machine-learning numpy pandas scatter-plot scikit-learn svm tensorflow xgboost

Last synced: 23 Mar 2025

https://github.com/paulmelnikow/react-boxplot

Simple SVG box plots in React

boxplot react react-component svg

Last synced: 05 Sep 2025

https://github.com/ostad-ai/machine-learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

boxplot data-science data-visualization elastic-net gradient-descent gram-schmidt inner-product lasso-regression linear-regression machine-learning naive-bayes python ridge-regression

Last synced: 14 Jul 2025

https://github.com/sgratzl/boxplots

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

boxplot boxplots javascript stats typescript

Last synced: 11 Sep 2025

https://github.com/martinfrancois/boxplotfx

A boxplot implementation as a custom control in JavaFX.

boxplot boxplotfx control custom javafx

Last synced: 10 Oct 2025

https://github.com/shubhamdutta2000/student-performance-analysis

Analyse performance of students on the basis of their personal life style, studying style, family related, educational environment satisfaction, students grades using ML model

boxplot factors grades jupyter-notebook logistic-regression machine-learning python3 students students-performance

Last synced: 16 May 2025

https://github.com/hellymodikalpesh/matplotlib

This repository is created for purpose of data visualization.This contains matplotlib library use for visualizing data

barplot boxplot histogram jupyter-notebook matplotlib pieplot scatter-plot stackplot stem stepplot subplots

Last synced: 23 Jun 2025

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 24 Nov 2025

https://github.com/moindalvs/learn_visualization_on_matplotlib

Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!

barchart bivariate-analysis boxplot horizontal-bar-charts matplotlib matplotlib-pyplot matplotlib-python matplotlib-tutorial piechart subplots univariate-analysis

Last synced: 11 Mar 2025

https://github.com/dpgitaccount/project---hospital-readmission-analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization

Last synced: 04 Sep 2025

https://github.com/katrinleinweber/leaving-the-bar

A less-code variant of Joachim Goedhart's "Leaving the bar in five steps"

barchart boxplot boxplots data-visualisation data-visualization ggplot

Last synced: 20 Aug 2025

https://github.com/catdad/plain-text-box-plot

:chart_with_upwards_trend: boxes and whiskers

ascii boxplot npm

Last synced: 15 Apr 2025

https://github.com/tashi-2004/global-ecommerce-retail-trends-analysis

The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.

boxplot clv-analysis data-science data-visualization dataintegration deep-learning dimensionality-reduction ecommerce heatmap machine-learning normalization outlier-detection outlier-removal pca-analysis preprocessing python scatter-plot whatif-analysis

Last synced: 13 Jun 2025

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 24 Nov 2025

https://github.com/muskanmi/data_analysis_python

Data analysis on students result dataset using python libraries.

boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn

Last synced: 09 Apr 2025

https://github.com/dotnetcarpenter/quartiles

Calculate the quartile set from a list

boxplot javascript median quartiles

Last synced: 08 Apr 2025

https://github.com/kivanc57/feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

boxplot clustering correlation data-science data-visualization descriptive-statistics explanatory-data-analysis pearson-correlation r scatter-plot spearman

Last synced: 10 Mar 2025

https://github.com/guilherme-marcello/r-ecommercedata-analysis

Reading CSV, using descriptive statistics, and exporting boxplots

boxplot csv r statistics

Last synced: 30 Jul 2025

https://github.com/douglaside/airlinedelay

[✍🏻Learn] Project aimed at analyzing flight delays, using Python algorithms and machine learning techniques to aid decision-making and identify patterns.

ai alura boxplot data-science graphics histogram machine-learning machine-learning-algorithms pandas python scikit-learn static

Last synced: 28 Jun 2025

https://github.com/sanchariii/datashow-visualization

This is a Data Visualization App that allows the user to upload their dataset in clean format and then perform various Data Visualization like - Line Plots, Scatter Plots, Bar Plots, Box Plots, Violin Plots, Histogram Plots

barplot boxplot histogram scatter-plot violin-plot

Last synced: 19 Oct 2025

https://github.com/raffaeleav/crash-stat

An R script developed as a project for the Calcolo della Probabilità Statistica e Matematica (Statistical and Mathematical Probability Calculation) course, part of the Computer Science Bachelor's Degree program at the University of Salerno

boxplot histogram r rstudio statistics

Last synced: 11 Mar 2025

https://github.com/mohammad95labbaf/outlier-imbalanced-fraud-detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

boxplot classification-model credit-card credit-card-fraud credit-card-fraud-detection decision-tree decision-tree-classifier fraud-detection imbalanced-classification imbalanced-data outlier-detection outlier-removal z-score

Last synced: 03 Mar 2025

https://github.com/soumyapro/wine-quality-prediction

This project is about the prediction of wine quality using machine learning algorithms

boxplot matplotlib numpy pandas random-forest smote

Last synced: 01 Mar 2025

https://github.com/lmizner/codecademy_stack_overflow_survey

Tackling missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques

boxplot catplot jupyter-notebook matplotlib-pyplot pandas python seaborn sklearn

Last synced: 02 Apr 2025

https://github.com/shwetapardhi/assignment-1-q12--basic-statistics-level-1

Q12) 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?

boxplot matplotlib-pyplot mean median nump pandas python seaborn standard-deviation variance

Last synced: 27 Feb 2025