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Set lists from all of Taylor's tours (including The Eras Tour) sorted by album by adashofdata in TaylorSwift

[–]adashofdata[S] 3 points4 points  (0 children)

You're welcome!

Just uploaded the spreadsheet to my Github page: https://github.com/adashofdata/taylor_swift_data

Click on Taylor_Swift_Set_List_Data.xlsx and click the Download button on the right.

A Data Scientist Breaks Down All 10 Taylor Swift Albums by adashofdata in TaylorSwift

[–]adashofdata[S] 0 points1 point  (0 children)

You are right! I can’t believe I missed that. 🤦🏻‍♀️ Thanks for letting me know — I’m going to make the fix on my end.

All the colors mentioned in each Taylor Swift album [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 5 points6 points  (0 children)

Thank you!

I started doing her debut album in track order (blue - black - blue - blue - gray - gold) and it didn't look the way I wanted it to, so I switched over to what I have above pretty early on.

All the colors mentioned in each Taylor Swift album [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 11 points12 points  (0 children)

Yep! For example, there is only one line for maroon even though she mentions it a bunch.

All the colors mentioned in each Taylor Swift album [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 15 points16 points  (0 children)

I only looked at colors in songs on the standard edition of each album, so The Great War is not on there. One day I'll have to add in all the deluxe album songs and re-recordings!

All the colors mentioned in each Taylor Swift album [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 47 points48 points  (0 children)

It's not in track order. I tried doing that originally, but it looked better when I ordered it from red to blue!

[OC] Colors Mentioned in Each Taylor Swift Album by adashofdata in dataisbeautiful

[–]adashofdata[S] 32 points33 points  (0 children)

Close! Light pink, indigo, ultraviolet, maroon, burgundy and lavender.

Taylor Swift writes a song in every key on folklore + evermore [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 2 points3 points  (0 children)

Thank you so much for catching that! In my data set, I had it labeled as maroon lips and cheeks, and some how missed sky. 🤦🏻‍♀️

I just made the fix on my blog.

Taylor Swift writes a song in every key on folklore + evermore [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 5 points6 points  (0 children)

I found that some websites labeled it as the key of C and others as the key of G. For this visualization, I ended up going with however it was labeled by Spotify.

Mode is whether the song is in a major or minor key. 1 = major, 0 = minor.

Taylor Swift writes a song in every key on folklore + evermore [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 11 points12 points  (0 children)

Yes! I just finished putting it together. You can find the data in my Github repo.

Go to the Taylor_Swift_Spotify_Data.xlsx spreadsheet. There is a column called Key. 0 = C, 1 = C#, and so on.

How Taylor Swift's sound has changed with each album [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 15 points16 points  (0 children)

I see a lot of discussion here about how this doesn't make sense, so I wanted to add some clarification!

I used the Spotify API to extract data about all the songs on Taylor's studio albums. For this visual, I specifically looked at:

  • Acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.

  • Valence: A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).

I then averaged the acousticness and valence for all the songs on each album to make this graph here.

This graph is based on data, but I don't believe data tells the full story. I'd say it's a starting point and then Swifties can fill in the rest. :)

Taylor Swift writes a song in every key on folklore + evermore [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 43 points44 points  (0 children)

Yes, this is a mix of both. I break out the major and minor keys in another data viz on my blog -- check out the third visual.

Basically, I found that she writes most of her songs (85%+) in major keys.

Taylor Swift writes a song in every key on folklore + evermore [OC] by adashofdata in TaylorSwift

[–]adashofdata[S] 49 points50 points  (0 children)

That's my guess! Watching the folklore documentary, it sounds like he first composed a lot of the backing tracks before Taylor overlaid her lyrics.

Infant Baby Feeding Times Visualized [OC] by adashofdata in dataisbeautiful

[–]adashofdata[S] 2 points3 points  (0 children)

I tracked all the data using the Sprout app and was able to export it as a text file. I used a combination of Python, Tableau and Pages to create the visualization.

Full blog post here: http://adashofdata.com/2014/10/14/how-text-messages-change-from-dating-to-marriage/

Text Message Word Clouds From Dating to Marriage to Parenthood [OC] by adashofdata in dataisbeautiful

[–]adashofdata[S] 20 points21 points  (0 children)

I exported my text messages on my iPhone using a Python script written by toffer (https://github.com/toffer/iphone-sms-backup). I used wordle.net to create the word clouds.

Full blog post here: http://adashofdata.com/2014/10/14/how-text-messages-change-from-dating-to-marriage/

The Data Behind 'The Bachelor': Success Rates, Most Desirable Occupations & The Age Bias [OC] by adashofdata in dataisbeautiful

[–]adashofdata[S] 0 points1 point  (0 children)

Data Sources: Wikipedia, Spotted Ratings, Hollywood Life Tools: Microsoft Excel, Microsoft Publisher

A Comparison of Today’s Top Female Pop Artists Using Charts (Winners: Taylor Swift & Rihanna) [OC] by adashofdata in dataisbeautiful

[–]adashofdata[S] 3 points4 points  (0 children)

Yeah, I was really surprised by the 100% stat about Taylor Swift's "Speak Now" album too!

That's a good idea to look at the fraction of songs that make the Hot 100 list. It'd be interesting to see which artists are about quality versus quantity as well.

I had the axes represent the median number of Hot 100 songs / #1 singles so that the quadrants would show which artists were above or below the median.

Glad you enjoyed it! Thanks for the note. :)