There are 0 repository under barplot topic.
Fantaxtic - Nested Bar Plots for Phyloseq Data
demir.ai Dataset Operations
Matplotlib Tutorial
Tool for analyzing network traffic written in Java
An app displaying surgical wait times in different health authorities of British Columbia
Youtube Trend Dashboard - Find out what key characteristics make a particular youtube video land in the trending section
This app allows users to explore key factors for employee attrition. Survey data can be filtered by gender, age, and department.
Assignment 2 Set 2
This repository houses data visualization with Python.
MDS-Winery Dashboard for American wines
Indian Ocean Dipole
DATA551 Dash Project in Python
Matplotlib notes and examples
Basic Barplot with Matplotlib . A barplot shows the relationship between a numeric and a categoric variable.
Assignment Advance Stats
EDA and Capacity planning of Bluebike, Boston.
Python matplotlib, seaborn and plotly plots cheat sheet
How to deploy an dashr app to heroku
The app recommends top dog breeds and other interesting facts based on certain traits selected by user, who could be a potential dog buyer.
A dashboard visualizing Covid-19 statistics at both global and country scales using JHU CSSE COVID-19 Data
Application to communicate insights about historical social/economic trends and create a better understanding of using and teaching statistics.
An analysis and visualization of Olympic Games data from the year of 2000 to 2016.
The Safe Vancity app consists of maps and plots on crime rates in Vancouver in 2021, which help you make safest housing choices!
The Safe Vancity (R) app consists of maps and plots on crime rates in Vancouver in 2021, which help you make safest housing choices!
A Spotify exploration app for music enthusiasts. The app helps you discover interesting trends in Spotify music popularity across various features such as genres, danceability, loudness, etc.
A simple visualization dashboard for tsunami events since 1800 using plotly dash and Python.
dashboard1-data551_grouph US School Finder
Association Rules Data Mining (Groceries). Converting the data frame into a list of lists, Using Transactionencoder to transform this dataset into a logical data frame, Building the data frame: rows are logical and columns are the items that have been purchased, Print Column names, We need to drop nan column from the data frame, Most popular items, Top 10 Popular items, Barplot visualization of popular items, Apriori Algorithm: Association rules with 5% Support and 70% confidence, Association rules with 1% Support and 80% confidence, Visualization of obtained rule.
Plotting two different categories- box plot, barplot, histogram. Plotting single category- Pie chart, bar chart. Different Plots- Scatter Plot, Histogram, Box Plot, Violin Plot
Seaborn Visualization on Titanic Dataset Visual exploration of different features on No. of people survived or otherwise Visualization using FacetGrid function, Lambda function and criterion function Visualization of subplots