Having Fun Visualising the Billboard Hot 100

Having Fun Visualising the Billboard Hot 100

Year

Year

2018

2018

Teammates

Teammates

Allison Wong

Allison Wong

My role

My role

Data Analysis, Visualisation Design & Development

Data Analysis, Visualisation Design & Development

Tools

Tools

R, d3.js, HTML, CSS

R, d3.js, HTML, CSS

Introduction

Introduction

During my final semester in university, I embarked on an exciting data visualisation project in collaboration with a fellow music enthusiast. Our goal was to have fun exploring 25 years of the iconic Billboard Hot 100 chart, identifying trends and observing the evolution of music and lyrics over time.

During my final semester in university, I embarked on an exciting data visualisation project in collaboration with a fellow music enthusiast. Our goal was to have fun exploring 25 years of the iconic Billboard Hot 100 chart, identifying trends and observing the evolution of music and lyrics over time.

Process

Process

01

01

Extract & Transform Chart and Lyric Data

Extract & Transform Data

02

02

Explore Data and Investigate Trends

Explore Data and Investigate Trends

03

03

Conceptualise Visualisations

Conceptualise Visualisations

04

04

Develop Web Interface and Interactive Visualisations

Develop Interface and Visualisations

Visualisations

Visualisations

Who were the hottest artists?

Who were the hottest artists?

We visualised the 5 artists who had the most features over the 25 years and charted their journeys to the top.

We visualised the 5 artists who had the most features over the 25 years and charted their journeys to the top.

Had lyrics gotten simpler over time?

Had lyrics gotten simpler over time?

At the time, it seemed as if the lyrics of the most popular songs were less diverse and more repetitive, so we were interested in taking a closer look. But not too close. And only with one eye.

At the time, it seemed as if the lyrics of the most popular songs were less diverse and more repetitive, so we were interested in taking a closer look. But not too close. And only with one eye.

Has the usage of certain words changed over time?

Has the usage of certain words changed over time?

We chose specific words and charted their usage, wondering if there were any trends that would shed light on the cultural landscape of the time.

We chose specific words and charted their usage, wondering if there were any trends that would shed light on the cultural landscape of the time.

Final Thoughts

Final Thoughts

The goal was to have fun with data visualisation and storytelling, and we had a ball.

If we had to be serious about this, we would have approached the analysis with more rigour. Let's take the vocabulary visualisation for example: Instead of simply visualising the number unique words in each song, I would have also grouped them by year, created a box plot, added some jitter to each discrete observation, and colour coded them by genre. I might also have thrown in songs that didn't make the Hot 100 to investigate if it was just the lyrics of popular songs that had gotten simpler.

But what would’ve been the fun in that?

The goal was to have fun with data visualisation and storytelling, and we had a ball.

If we had to be serious about this, we would have approached the analysis with more rigour. Let's take the vocabulary visualisation for example: Instead of simply visualising the number unique words in each song, I would have also grouped them by year, created a box plot, added some jitter to each discrete observation, and colour coded them by genre. I might also have thrown in songs that didn't make the Hot 100 to investigate if it was just the lyrics of popular songs that had gotten simpler.

But what would’ve been the fun in that?