UBC-MDS / DSCI-532_2024_14_mds_saves_america

An interactive dashboard visualizing public sentiment and perceptions on American politics and the future of democracy, based on August 2018 survey data.
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MDS Saves America

Cards Against Humanity: Future of Democracy and American Elections

Project Summary:

The Future of Democracy and American Elections Dashboard project aims to provide a comprehensive analysis of public sentiment and perceptions surrounding American politics, during August 2018. Through intuitive visualizations and filtering options, users can explore general correlations across demographics and delve into specific insights related to Donald Trump's presidency and the opinion of the American public on the future of America. The dashboard offers a user-friendly interface for uncovering valuable insights from survey data collected by the cards against humanity website.

Motivation Behind Our Project

The Challenge

As the 2024 USA elections approach, American voters are faced with a pivotal decision: choosing their next President. This election is particularly challenging due to the unique backgrounds and histories of the candidates - Joseph Robinette Biden from the Democratic Party, and Donald John Trump from the Republican Party. Both candidates, having previously held the office, bring with them a mix of accomplishments and controversies. This complex backdrop makes it increasingly difficult for voters to align their choices with their personal ideologies and beliefs.

Why It's Important

In a landscape brimming with information and varying opinions, it’s essential for voters to have a clear and unbiased perspective on what each candidate stands for. Understanding the pulse of the nation, especially reflecting back on opinions from a crucial period like August 2018, is key to making an informed decision. Our dashboard emerges as a crucial tool in this decision-making process.

Our Solution

We have developed a dashboard that acts as a comprehensive guide for these elections. Utilizing the rich dataset from 'The Pulse of the Nation' survey conducted in August 2018, our dashboard offers an intuitive and interactive way for voters to explore crucial facets of the election:

By equipping voters with this tool, we aim to bridge the gap between information and understanding, empowering each American citizen to make a choice that truly reflects their hopes and ideals for the nation's future.

Interactive Features of Our Dashboard

Our dashboard has been meticulously crafted to provide an engaging experience with several interactive elements that allow for personalized exploration. Here's what you can expect:

Demographic Filters

Tailor your view by adjusting the demographic filters. You have control over:

Data Visualizations

Explore Our Dashboard in Action

Get a glimpse of the dashboard's capabilities and user experience with our demo GIF. See firsthand how you can interact with the various elements and filters to obtain the insights you need.

Demo GIF

For a full exploration and to discover all the features our dashboard has to offer, visit our deployed dashboard through the link provided here. Dive into the data, play with the filters, and see the visualizations respond in real-time.

Support

If you encounter any issues or have any questions about using our dashboard, please open an issue on GitHub.

Running the App Locally

To run the app locally and potentially contribute to its development, follow these steps:

  1. Clone this repository to your local machine.
  2. Navigate to the project directory.
  3. Install the environment using conda env create -f environment.yml and then activate it using the command conda activate saves_america
  4. Run the app with python src/app.py.
  5. Visit http://localhost:8050/ in your web browser to view the app.

For more information on contributing to the project, please refer to the contributing guidelines.

Contributors

Sampson Yu, Sophia Zhao, Salva Umar, Arturo Rey

License

The app code contained within this repository is licensed under the MIT license. See the license file for more information.

All reports contained here are licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License. See the license file for more information.

The dataset employed in this analysis is distributed under an open-source license.