Practice customizing barplots (ggplot2)

ERRORBAR_GROUPS produces customizable grouped bar plots with overlaid error bars.

This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the co…

Comparison between Marvel and DC in terms of their Characters Popularity, their Gender, Hair Color, Eye Color, Character Alignment, Appearances, Launch day, names, etc. I have used Seaborn, matplotlib, networkx, and plotly to visualize Interactive plots

Data visualization using Python

shiny module implementing interactive barplot selector

Web scrapping COVID-19 data using python, plotting pie charts using pandas and matplotlib, send emails with the plots as attachment

Exploratory Data Analysis for HR dataset

This repository houses data visualization with Python.

Visualization using Matplotlib and Seaborn

R_basics - Visualizing Air Quality data

R_basics- Earth Quake data

Matplotlib Library, Toolkits and Visualizations

How to deploy an dashr app to heroku

The Obesity Explorer Dashboard (a UBC-MDS Project by Group #1)

Data Visualization using Seaborn and Matplotlib

U.S city violent crime visualization

An app to report survey on mental health in the tech workplace.

This app allows users to explore key factors for employee attrition. Survey data can be filtered by gender, age, and department.