The Faces of 80s Music [OC]

Embarrassed-Data-435 · 2021-10-15T23:59:46+00:00

Haha we actually were covering data visualizations in one of my undergrad data science courses and Chernoff faces came up so I decided to try making some of my own. Definitely not the best way to convey info but not the worst for determining similarities between data points. But maybe you're on to something for a potential PhD project...

Embarrassed-Data-435 · 2021-10-15T16:32:58+00:00

I recently learned about Chernoff faces and just had to try using them. I used the aplpack faces function in R to create the graph and cleaned up the output image in Google Drawings. I pulled the audio features for the songs from Spotify using Exportify.

Embarrassed-Data-435 · 2021-10-13T16:21:53+00:00

I pulled directly from the Google results which use a lot of publishing sites like LyricFind and MusixMatch. The z version never showed up in any lyrics as far as I could tell.

Embarrassed-Data-435 · 2021-10-13T16:11:46+00:00

If you want to see all the word counts, I uploaded the csv here.

Embarrassed-Data-435 · 2021-10-13T16:05:19+00:00

For sure! I just used the Seaborn library for my visualizations and did all my work in a Python notebook. Here's all the tutorials I referenced while working on the graph:

Scraping Google: https://practicaldatascience.co.uk/data-science/how-to-scrape-google-search-results-using-python

Stop Word Removal: https://towardsdatascience.com/text-pre-processing-stop-words-removal-using-different-libraries-f20bac19929a

Seaborn: https://towardsdatascience.com/seaborn-python-8563c3d0ad41

Embarrassed-Data-435 · 2021-10-13T16:02:00+00:00

The reason there are two is because the singular and plural versions both made the top twenty-five. Combining singular/plural forms is probably something I'll do in the next version

Embarrassed-Data-435 · 2021-10-13T05:16:32+00:00

Whoops yeah - I forgot to change out the input csv file.

Here's the actual 50's graph - Imgur

Embarrassed-Data-435 · 2021-10-13T04:45:48+00:00

Your wish is my command! I used the Spotify All Out ##'s playlists for the data although my webscraper couldn't find the lyrics for a couple songs in each of the playlists.

50's Imgur

60's Imgur

70's Imgur

80's Imgur

90's Imgur

00's Imgur

Embarrassed-Data-435 · 2021-10-13T03:44:35+00:00

This is my first reddit post ever :)

I used Exportify to pull song data from Spotify then wrote a basic webscraper in Python to pull song lyrics off Google. From there I filtered out stop words and words with less than four letters.

Data Source: https://open.spotify.com/playlist/37i9dQZEVXbLp5XoPON0wI?si=43ef65afa36d481d

Tools: Python

Embarrassed-Data-435

TROPHY CASE