A user-interactive data visualisation app developed in R Shiny that recites a story about how Australia consumes its electricity.
Watch the product video
Explore the app online
- Download and Install R in your system
https://cran.r-project.org/bin/
- Download and Install RStudio in your system
https://rstudio.com/products/rstudio/download/
- Clone this repository into your system
git clone https://github.com/akale1994/Melbourne-Datathon-2020.git
- Open the below files in RStudio
Data2App > App > server.R
Data2App > App > ui.R
- Install the required libraries
Uncomment the library installation code before running the app if the respective libraries are not installed
- Run the app
Click on 'Run App' as shown below
The model learns on pre Covid-19 data and forecasts the electricity prices in Victoria for the Covid-19 lockdown period in Victoria, Australia.
- Download and install Python in your system
https://www.python.org/downloads/
- Download and install Anaconda in your system
https://docs.anaconda.com/anaconda/install/
- Download and install Jupyter Notebook in your system
https://jupyter.org/install/
- Clone this repository into your system
git clone https://github.com/akale1994/Melbourne-Datathon-2020.git
- Open and run the notebook from Jupyter Notebook
Root directory > MelbourneDatathon.ipynb