Data Visualization

Making the Complex Intuitive

Published Works

I have spent the last several years creating charts focused on the financial markets. For me, the ultimate goal of data visualization is to make information as simple and intuitive as possible—so that anyone can understand the story just by looking at it.

The examples below may look simple, but the process to create them was not. There is a lot of work "behind the scenes" to ensure the right chart type is used for each specific dataset.

Data Visualization Projects

To go a step further in my data journey, I enrolled in the Lede Program for Data Journalism at the Columbia School of Journalism in 2021. The following two projects are unpublished personal explorations from my time there.

U.S. Stock Market Volatility in 2020-2021

2020 and 2021 were two of the most volatile years in U.S. financial market history. I wanted to create a snapshot of the market so that people could see at a glance how the market acted. I chose a heatmap as the format and displayed every single trading day in 2020 and 2021. The slight surprise was that 2021 showed more ups and downs than 2020, even though 2020 was when the pandemic started.

Hate Crimes of New York Ciity

I analyzed the NYPD's hate crime data by victims’ demographics and crime types. I discovered that although Jewish people accounted for the largest portion of hate crime victims, most hate-crime-related physical attacks in NYC targeted Asians and gay males. Most crimes against Jewish people were property-related.

I updated the analysis with the latest data from February 2026, which included hate crimes through 2025. The number of hate crimes has drastically increased since 2021. Some Asians and gay males were murdered in hate-motivated crimes.