In this context, origin is not the same thing as originator. I looked up every one of these words, and, in every instance, the references cited usage in the Spanish Language. It could be that the French Language acquired many of them at about the same time and from the same or from another source.

I am sorry that any of this is displeasing. I would fully agrees with anyone who claims that many, if not the majority, of the listed words were not invented by people who identify as Spanish speakers. Regarding the chart though, the word "origin" is not intended to mean the inventor of a particular word. The intention is to refer to the most direct source or the source of the most direct parent word. Also, the term "Spanish" is intended to refer to the Spanish Language and not Spain.

Yes. This is true. Some words originated in another language, were then incorporated into Spanish, and then incorporated into English from Spanish.

The plot shows English words of Spanish origin and the number of times each appears in English Wikipedia.

Sources:

Spanish-origin English words were obtained from Wikipedia's List of English words of Spanish origin

Number of mentions was derived from an analysis of English Wikipedia's database dump

Tools: Python, Matplotlib

data.gov is another source. There's also /r/datasets/, which might be a good place to ask this.

For me, sourcing raw data is actually part of the problem, and finding it can involve some amount of creativity. A lot of it is hiding in plain sight, but it has to realized as such.

It's the regular version.

Yes, well, one of the challenges with this is coming up with a good list.

One thing I'm seeing is that there aren't a whole lot of songs above 170 words per minute (WPM). The songs "7 Rings," "Roses Imanbek," "The Box," "STAY," "Rich Flex," and "Levitating" are all in the range of 158-165. Kendrick Lamar's "N95" comes in around 210, but among 30 songs I've looked at, it's a bit of an outlier.

Another observation is that the highest WPM is more than twice that of the lowest. Comparing "N95" to Yahritza y Su Esencia's "Soy el Unico" increases the ratio to 3.6, and it's strongly reflected by a relatively broad range of vocal styles.

All of this is a fairly preliminary analysis though. I would imagine that if the input data is selected more thoughtfully, then patterns will emerge in the plot.

I'm looking at a chart like this right now. The number of unique words is in the range of 25%-50% of the total number, across the board.

My initial impression about this is that it's heavily effected by the number of times the hook, chorus, etc is repeated.

The plot shows duration in minutes, total word count, and words per minute for a selection of 15 songs. The plot is done in the style of a topographic map, but with words per minute instead of elevation. The song selection is Spotify's top-5 most streamed songs for the years 2019, 2020, and 2021.

Sources: genius.com, azlyrics.com, musixmatch.com, en.wikipedia.org

Tools: Python, Matplotlib

"Groomers" was not included in the chart due to it having lower overall usage. Your perceptions appear consistent with my results though:

• groomers: +314.7%

It is in the works.

Yes, well both "Democrats" and "Republicans" had similar increases (49% vs. 53%). However, total usage volume for both words was marginal, and only one of the words had a volume high enough to make the chart.

These words were used very heavily, however, the amount of usage did not change significantly.

+999.4254515948546%

It is entirely English language and social media type data.

For the record

• dog: +10.5%

Also,

• cat: +9.8%
• positive: +11.4%
• safety: +11.4%

EDIT:

• puppies: +2.4%

The bar chart shows how word usage in 2022 compares with that in 2021. Word frequency counts were made using Reddit comment datasets from Pushshift. All posts were made during June of 2022 and June of 2021. Each percentage indicates the change in a word's absolute count (after adjusting counts to reflect datasets of slightly difference sizes). The bar chart was made with Python and Matplotlib.