GitHub topics: categorical-data-visualization
cjunwon/ODAQ-SDA
Applying Categorical Exploratory Data Analysis (CEDA) methods to study audio quality perception
Language: Jupyter Notebook - Size: 923 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

friendly/vcdExtra
Extensions and additions to vcd: Visualizing Categorical Data
Language: HTML - Size: 42.1 MB - Last synced at: 9 days ago - Pushed at: 29 days ago - Stars: 24 - Forks: 7

corybrunson/ggalluvial
ggplot2 extension for alluvial plots
Language: R - Size: 120 MB - Last synced at: about 9 hours ago - Pushed at: 4 months ago - Stars: 508 - Forks: 34

alastairrushworth/inspectpd
📈 📊 Methods for Exploring Pandas Data Frames
Language: Python - Size: 117 KB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

g-insana/CMPlot.jl
Cloudy Mountain Plot function in Julia
Language: Julia - Size: 1.49 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 3

g-insana/cmplot.py
Cloudy Mountain Plot function in Python
Language: Python - Size: 2.12 MB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

g-insana/cmplot
Docs for Cloudy Mountain Plot
Size: 2.11 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

mb7419/egm
A python package for plotting Evidence Gap Maps using Plotly
Language: Python - Size: 1.22 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 0

NilsOle/categorical_data_explorer
Client-sided visualization tool for categorical data (prototype)
Language: HTML - Size: 509 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

swilliamc/SAS_StatisticalBusinessAnalyst
SAS Professional Certificate in Statistical Business Analyst using SAS
Size: 57 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

ashishyadav24092000/EDA_on_HousePrice
In this repository I have performed Exploratory data analysis on the dataset famously known as House Price Prediction.
Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Ravjot03/Data-Visualization-with-Seaborn
Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

GLeurquin/Faithful-visualization-of-categorical-datasets
Algorithm to reorder binary and categorical matrices using convolution
Language: Scala - Size: 22.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

y656/Data-Analytics-model-on-Behavioural-Challenges-of-ASD-kids
This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 2

ashfaq-sadat/column-percent-calc
In this repository I have calculated percent of all columns individually and created a bar graph showing what percent of respondents answered "yes" in a particular question.
Language: R - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

gdagstn/swatcheR
Fast automatic selection of color swatches from images
Language: R - Size: 3.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 0

hoyirul/classification-naive-bayes-lingkungan
Suatu pemecahan masalah dimana kondisi lingkungan di jakarta dibagi menjadi 3 yaitu BAIK, SEDANG dan TIDAK SEHAT dari dataset tersebutlah maka akan diolah dan diklasifikasi menurut kategorinya
Language: Jupyter Notebook - Size: 158 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Julien-Yacine/cramer_v_heatmap
Vizualisation of the "correlation" between categorical variables using a cramer's v heatmap
Language: HTML - Size: 810 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0

guevara-erik/Wolrldwide-Suicide-Rates-Bivariate-Analysis
Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DeepakKumarGS/Categorical-Encoding
Repository for Categorical Feature Encoding Challenge in Kaggle 2019
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

corybrunson/alluvial Fork of mbojan/alluvial
Alluvial diagrams
Language: R - Size: 241 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
