Vastly Challenging Economics

A study of the financial health of the city Engagement, Ohio, USA!

A Deep Dive into the financial health of the city of Engagement, Ohio

Jeremiah Lam | Shachi Raodeo | Rakendu Ramesh

A city or country’s economy plays an integral role in society, as businesses and individuals livelihoods depend on it. In an economic recession, retrenchments are inevitable and businesses see a loss in revenue, which may subsequently see them close down. Conversely, in an economic boom, there’s an increase in both income and spending across businesses and individuals. Within an economy, there are patterns we can observe, for example, how are businesses or sectors performing, how much are individuals spending, who are businesses employing.

Introduction

The VAST Challenge 2022 presented an exciting opportunity to understand and analyse the economy of the city of Engagement, Ohio. As a city anticipating rapid growth, it is paramount to first understand the current state of the city and identify opportunities for future growth. We would like to make use of a range of visualisation techniques and visual analytics to reveal the financial health of the city.

With the creation of a RShiny app, users will be able to:

Proposal

The dataset was acquired from VAST Challenge 2022. It contains 3 large sets of data. Activity logs tracks the the daily activities of the participants in the city. Attributes contains the attributes of the city including the jobs that are offered, details of the participants, employers, restaurants and pubs. Journals has information on where participants have gone, the spending and wages of participants and who they interacted with.

In order to visualise the financial health of the city effectively, a multi-pronged approach was considered, starting with a descriptive analysis of the datasets by showing the :

This will be conducted using line charts, histogram and barcharts, boxplots, sparklines and maps.

Next, correlation analysis was conducted between average age hired for a job, and the offered hourly rate or the number of jobs they were hired for. This was to glean any insights of any potential correlations between them. Also, a one-way ANOVA test was done between hourly wage, and either education level or age groups for average age hired, to see if there was any statistical evidence proving that there is a difference in mean hourly rate within different education levels or age groups (i.e. certain education levels getting paid more, certain age groups are getting paid more).

We hope that through our app, users will be able to better appreciate the financial health of the city of Engagement, Ohio, as well as use our app to forecast the income of its participants to better anticipate the economic state of the city.

Lastly, you may view our draft proposal here!

RShiny App

Do visit here to view our app!

Poster

Do visit here to view our poster!