YOUTUBE VIDEO: youtu.be/tfWsdoRsshs
Project 3 is an interactive web-based shiny application written in R language which visualizes the data on electrical power generation in the US in 2010 to give the users a better understanding of the electricity and gas usage by census block in the city of Chicago to see how neighborhoods, type of buildings, age of buildings can affect how much power is used throughout the year. The Shiny Dashboard consists of multiple map-view representations with different user input to show this data. The color representation across all visualizations is consistent. Below are the visualizations used in this project.
This is a map view showing census block level representation of specific data selected by the user in the near west side community. The user has options to see the data with respect to electricity, gas, building age, building height, and population. There are other options to filter the data such as month selection to show data of electricity or gas usage in a specific month and the option to select specific building type etc. All the representations will be using these options of data. There is also a table chart representing the same data shown in the map view.
This is two map views side by side with the same data options as the 1st representation with also the option for the user to select any community in Chicago for each map to do a comparison. This representation also gives the user the ability to view the data in a different color scheme too. Just like the first representation, both these map-views are accompanied by a table chart showing the same data as respective map-views.
The is a map-view with the same options as the 2nd representation but showing the data of the entire Chicago and also giving the user the ability to show the top 10% of the data at a tract-level showing the oldest building, newest building, tallest building, etc.
About page giving information about the owner of the project and the time and date of when the project was developed and a brief description on what the project is and where the data used was collected.