Crime Rate in United States

Design Research | Data Visualization

Overview

The dataset on crimes in various cities of the United States over the last 35 years has been analyzed and visualized using different layers, exploring multiple variations of representation. The main tools employed for the visualization process are Illustrator for creating static visualizations and JavaScript for interactive representations. By examining this dataset and its visualizations, we can gain valuable insights into the trends of crimes and their correlations with the population in these cities. The visualizations provide a comprehensive understanding of whether crimes are increasing or decreasing over time and how these trends relate to changes in population.

Layer 0:

Data-posit: Abstract Representation of a Dataset ​


The first layer, referred to as “Data-posit,” involves the creation of an abstract representation of the dataset using Processing. In this stage, the data is mapped onto a static canvas without any aggregation, resulting in a direct visual dump of the dataset. This raw visualization serves as a foundational layer, providing an unfiltered view of the crime data distribution across different cities and time periods.

Layer 1: ​

Data description dashboard ​

n layer 1 of the visualization process, known as “Data-description,” the focus shifts towards creating a static dashboard that provides a comprehensive overview of the crime rate dataset in the United States. This stage involves meticulous attention to detail in typography, layout, hierarchy, and color to effectively communicate key insights and trends within the data.The static dashboard comprises a series of 10 panels, each designed to convey specific information about the dataset. These panels incorporate a mix of minimal charts, descriptive text, and numerical data to offer a cohesive narrative about the topic at hand. 

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Layer 2: ​

Single-Frame Static Visualization ​

The objective here is to show the entire data in a single static frame while making explicit and clear what is the main message that needs to be communicated.

Layer3: ​

Dynamic Visualization of the Dataset ​

 

This dynamic data visualization showcases the distribution and change in reported rape cases across the United States between 1985 and 2015. By utilizing storytelling techniques, it compares crime rate trends with population changes over time, offering a compelling narrative that highlights how these variables evolve and interact across various cities and regions. This animated representation allows viewers to observe patterns and uncover insights that static charts or reports might not convey as effectively.

 
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