• Stars
    star
    1
  • Language
  • Created over 4 years ago
  • Updated over 4 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Dashboard to track the covid19 pandemic in the US

More Repositories

1

coronavirus

The coronavirus dataset
HTML
499
star
2

TSstudio

Tools for time series analysis and forecasting
R
421
star
3

deploy-flex-actions

Deploying flexdashboard on Github Pages with Docker and Github Actions
HTML
185
star
4

awesome-ds-setting

A tutorial for setting a new machine with core data science tools
181
star
5

vscode-python

Setting Python Development Environment with VScode and Docker
145
star
6

atsaf

Applied Time Series Analysis and Forecasting
R
130
star
7

coronavirus_dashboard

The Coronavirus Dashboard
R
105
star
8

shinylive

A guide for deploying Shinylive Python application into Github Pages
HTML
101
star
9

USelectricity

Forecast the US demand for electricity
R
96
star
10

italy_dash

A summary dashboard of the covid19 cases in Italy
Dockerfile
75
star
11

MLstudio

The ML Studio Package
R
70
star
12

covid19Italy

Italy covid19 data
R
46
star
13

coronavirus-csv

CSV format for the coronavirus R package dataset
R
46
star
14

30DayChartChallenge

Code for 30DayChartChallenge
R
34
star
15

UKgrid

The UK National Grid historical demand for electricity
R
28
star
16

30DayMapChallenge

30 Day Map Challenge 2022
R
27
star
17

R-Ladies-Tunis-Docker-Workshop

R-Ladies Tunis Docker for R users workshop
Dockerfile
24
star
18

uselectricity-etl

Example for ETL process with R, Docker, and Github Actions (WIP...).
R
24
star
19

USgrid

The hourly demand and supply of electricity in the US
R
23
star
20

Introduction-to-JavaScript

Introduction to JavaScript - math operations, variables, functions, objects, etc.
TeX
16
star
21

uswildfire

US Wildfire Dashboard
Shell
15
star
22

gis-dataviz-workshop

Materials for R-Ladies Abuja geospatial visualization workshop
HTML
14
star
23

sfo

Monthly air passengers and landings at San Francisco International Airport (SFO)
R
13
star
24

Time-Series-Workshop

Bay Area useR Group Time Series Workshop
HTML
13
star
25

covid19sf

R package for tracking Covid19 cases in San Francisco
R
12
star
26

RamiKrispin

My README profile
9
star
27

Shiny-App

A shiny interface for ML models, data visualization etc.
R
8
star
28

USgas

Tracking US monthly consumption of natural gas
R
7
star
29

ai-dev-2024-ml-workshop

Materials for the AI Dev 2024 "Deploy and Monitor ML Pipelines with Open Source and Free Applications" workshop
Shell
7
star
30

halloween-time-series-workshop

Bay Area useR Group Halloween Time Series Workshop
HTML
7
star
31

shinylive-r

A guide for deploying Shinylive R application into Github Pages
6
star
32

EIAapi

Supporting tools for the Applied Time Series Analysis and Forecasting book
R
6
star
33

flexdashboard_example

An example for deployment of flexdashboard
5
star
34

Julia-tutorials

Julia's learning materials
Julia
2
star
35

forecastML

Time series forecasting with linear regression and machine learning methods
R
2
star
36

learningR

Learning R
2
star
37

visualization_final

2
star
38

rstudio-conf-ggplot2-workshop

Setting Docker environment for the Graphic Design with ggplot2 workshop at RStudio conf 2022
R
2
star
39

covid19wiki

Collections of covid19 tables sourced from Wiki pages
R
1
star
40

covid19county

R
1
star
41

math_expressions

Example of using mathematical expressions in a README file
1
star
42

docker

My Docker files
Shell
1
star
43

RamiKrispin.github.io

My blog
HTML
1
star
44

piecewise-regression

An Introduction to Piecewise Regression with Time Series
R
1
star
45

linkedin-dashboard

Example of LinkedIn Profile Engagement Dashboard
R
1
star
46

TStrain

Approaches and methods for training forecasting models
HTML
1
star
47

shiny-express-poc

Running Shiny Express App Inside a Container
JavaScript
1
star
48

rstudio-conf-2020-geospatial

This repo contains the materials from the geospatial training.
1
star
49

ts-cluster-analysis-r

Materials for the the Analyzing Time Series at Scale with Cluster Analysis in R Workshop
R
1
star