Data Visualization Shiny App

This repository contains a Shiny web application created as part of the final assignment for the Data Visualization & Communication course at the University of New Haven. The app provides users with an interactive data visualization tool where they can upload their datasets, select variables, and generate dynamic graphs.

Features

User Interface (UI)

• App Title: Displays a title for the application.
• Sidebar Layout: Provides user inputs in a sidebar for easy access.
• Tabs: Includes two tabs in the main panel for:
  • Viewing the uploaded dataset.
  • Visualizing the graph based on user selections.
• User Inputs:
  • File upload: Allows users to upload .csv, .tsv, or .xlsx files.
  • Dropdown menus: Dynamically populated with variable names from the uploaded dataset.
  • Text input: Lets users define a custom graph title.
  • Graph type selection: Users can choose between scatter, box, and bar graphs.

Server

• Displays the uploaded dataset in a data table format under the "Data" tab.
• Updates dropdown menus based on the variable names of the uploaded dataset.
• Generates interactive graphs using Plotly based on user-selected variables and graph type.

App Structure

The application is structured into four R files:

1. global.R: Contains the libraries required for the app.

   library(shiny)
   library(plotly)
   library(tidyverse)
   library(readxl)
   library(shinythemes)
   library(vroom)

2. app.R: Initializes the Shiny app using shinyApp(ui, server).

3. ui.R: Defines the user interface, including the layout, sidebar, and main panel.

4. server.R: Contains the server logic for processing data, updating UI components, and rendering outputs.

How to Use the App

1. Upload Data: Click on "Browse..." to upload a .csv, .tsv, or .xlsx file.
2. Select Variables: Choose the X and Y variables for your graph from the dropdown menus.
3. Choose Graph Type: Select the type of graph you want to generate (scatter, box, or bar).
4. Add a Title: Enter a custom title for your graph.
5. View Outputs:
   • Navigate to the "Data" tab to view the uploaded dataset.
   • Switch to the "Graph" tab to see the visualization.

Deployment

The app is deployed on shinyapps.io. You can access the live app using the following link:

App Link

Installation

If you'd like to run the app locally:

1. Clone the repository:

   git clone https://github.com/aristotle-malichetty/Interactive-Data-Visualization-Shiny-App.git

2. Open RStudio and set the working directory to the folder containing the app files.
3. Run the app:

   shiny::runApp()

Requirements

Ensure the following R libraries are installed:

• shiny
• plotly
• tidyverse
• readxl
• shinythemes
• vroom

You can install missing libraries using:

install.packages(c("shiny", "plotly", "tidyverse", "readxl", "shinythemes", "vroom"))

Screenshots

Sidebar and Main Panel

Graph Visualization

Data Table

Author

This project was developed by Aristotle Malichetty as part of the coursework for the University of New Haven.

License

This project is licensed under the MIT License.