Topic: barplot Goto Github
Some thing interesting about barplot
Some thing interesting about barplot
barplot,demir.ai Dataset Operations
User: ahmetfurkandemir
barplot,Matplotlib Tutorial
User: bhavik-jikadara
barplot,Package for automation of statistics that are widely used in metabolomics.
User: chkim5
barplot,Exploratory Data Analysis and Visualization of Office Retailer Transactions using python libraries and Tableau visualizations.
User: deeprpatel700
barplot,Indian Ocean Dipole
User: fevzikaya7
Home Page: https://fevzikaya7.github.io/final_indian_fellas/
barplot,Fantaxtic - Nested Bar Plots for Phyloseq Data
User: gmteunisse
barplot,Tool for analyzing network traffic written in Java
User: guilherme-marcello
barplot,This repository is created for purpose of data visualization.This contains matplotlib library use for visualizing data
User: hellymodikalpesh
barplot,DATA551 Dash Project in Python
User: just249
Home Page: https://data551-dashproject-python.herokuapp.com/
barplot,Matplotlib visualizations using PyScript
Organization: makeuseofcode
Home Page: https://makeuseofcode.github.io/PyScript-Matplotlib-Visualizations/bar.html
barplot,Assignment 2 Set 2
User: moindalvs
barplot,Matplotlib notes and examples
User: mritunjaysri28
barplot,Practice customizing barplots (ggplot2)
User: odeibarredo
barplot,Data Visualization with Base R Graphics Package
User: ozturkfemre
barplot,Used libraries and functions as follows:
User: patilsukanya
barplot,ERRORBAR_GROUPS produces customizable grouped bar plots with overlaid error bars.
User: pierremegevand
barplot,This repository houses data visualization with Python.
User: prabhupavitra
barplot,Basic Barplot with Matplotlib . A barplot shows the relationship between a numeric and a categoric variable.
User: pritomsh
barplot,An app displaying surgical wait times in different health authorities of British Columbia
User: saisree-123
barplot,Assignment Advance Stats
User: shaikriyazsandy
barplot,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 company regarding the company.
User: sharmaroshan
barplot,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
User: sharmaroshan
barplot,EDA and Capacity planning of Bluebike, Boston.
User: sharmasapna
barplot,Python matplotlib, seaborn and plotly plots cheat sheet
User: ttariqaziz
barplot,This app allows users to explore key factors for employee attrition. Survey data can be filtered by gender, age, and department.
Organization: ubc-mds
Home Page: https://employee-attrition-dashboard.herokuapp.com/
barplot,How to deploy an dashr app to heroku
Organization: ubc-mds
Home Page: https://dashr-heroku-deployment-demo.herokuapp.com/
barplot,The app recommends top dog breeds and other interesting facts based on certain traits selected by user, who could be a potential dog buyer.
Organization: ubc-mds
Home Page: http://dsci532-2022-group18-py.herokuapp.com/
barplot,The app recommends top dog breeds and other interesting facts based on certain traits selected by user, who could be a potential dog buyer.
Organization: ubc-mds
Home Page: https://dsci532-group18-r.herokuapp.com/
barplot,A dashboard visualizing Covid-19 statistics at both global and country scales using JHU CSSE COVID-19 Data
Organization: ubc-mds
Home Page: https://covid-data-portal.herokuapp.com/
barplot,Application to communicate insights about historical social/economic trends and create a better understanding of using and teaching statistics.
Organization: ubc-mds
Home Page: https://dsci532-2022-gapminder-app.herokuapp.com/
barplot,An analysis and visualization of Olympic Games data from the year of 2000 to 2016.
Organization: ubc-mds
Home Page: https://olympic-dash-app.herokuapp.com/
barplot,The Safe Vancity app consists of maps and plots on crime rates in Vancouver in 2021, which help you make safest housing choices!
Organization: ubc-mds
Home Page: https://safevancity.herokuapp.com/
barplot,The Safe Vancity (R) app consists of maps and plots on crime rates in Vancouver in 2021, which help you make safest housing choices!
Organization: ubc-mds
Home Page: https://safevancity-r.herokuapp.com/
barplot,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.
Organization: ubc-mds
Home Page: https://spotify-explorer-py.herokuapp.com/
barplot,Youtube Trend Dashboard - Find out what key characteristics make a particular youtube video land in the trending section
Organization: ubc-mds
Home Page: https://lzung.shinyapps.io/youtube-trend-visualizer/
barplot,A simple visualization dashboard for tsunami events since 1800 using plotly dash and Python.
Organization: ubc-mds
Home Page: https://tsunami-events-dashboard.herokuapp.com/
barplot,The Vancouver crime statistics dashboard displays criminal incidents that occurred over the past 5 years under the Vancouver Police Department jurisdiction.
Organization: ubc-mds
Home Page: https://vancouver-crime-dashboard-r.herokuapp.com/
barplot,dashboard1-data551_grouph US School Finder
Organization: ubco-mds-2021-labs
Home Page: https://us-school-finder-dashboard.herokuapp.com/
barplot,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.
User: vaitybharati
barplot,Plotting two different categories- box plot, barplot, histogram. Plotting single category- Pie chart, bar chart. Different Plots- Scatter Plot, Histogram, Box Plot, Violin Plot
User: vaitybharati
barplot,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
User: vaitybharati
barplot,R_basics - Visualizing Air Quality data
User: vaitybharati
barplot,R_basics- Earth Quake data
User: vaitybharati
barplot,Visualization using Matplotlib and Seaborn
User: vaitybharati
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