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Data Science Lesson: Instructional Routines and Taylor Swift

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Marisa Tualla:  K-12 Math Specialist

marisa.tualla@azed.gov

Christel Bruno: President-Elect STEMteachersPHX

christel@stemteachersphx.org

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Slow Reveal Graph is an instructional routine that promotes sensemaking about data. This highly engaging routine uses scaffolded visuals and discourse to help students (in K-12 and beyond) make sense of data. As more and more of the graph is revealed, students refine their interpretation and construct meaning, often in surprising ways.

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While K-12 data education is a relatively nascent field, there are already a variety of resources for teachers who want to implement data science in the classroom today. Resources from year-long courses to short activities are listed below.

Don't see what you're looking for quite yet? Our coalition partners are actively working to create more content, including lesson plans, interactive textbooks, and tools for finding ready-to-use datasets. Check back often. And follow us on social media for the latest updates.

Looking for content in other subjects (like the sciences)? View this EDC resource hub ( )

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Data Science for Everyone is the national movement to modernize our K-12 curriculum and ensure every student becomes data literate. Maintained by the Center for RISC at University of Chicago, and inspired by Steve Levitt's Freakonomics podcast on high school math.

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20 occupations with the highest projected percent change of employment

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Billboard Top 10s for Taylor Swift and the Beatles 

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Billboard Top 10s for Taylor Swift and the Beatles 

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Billboard Top 10s for Taylor Swift and the Beatles

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How does Taylor Swift’s Billboard performance compare with the Beatles?

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Background

Taylor Swift is undeniably talented and a pop culture icon. In her music career, she has had 11 number one hit songs and sold over 114 million albums. Her Eras tour is selling out stadiums around the world and has already grossed more than $1,000,000,000 (USD) worldwide! Since she began dating Kansas City Chiefs star tight end Travis Kelce and attending games to cheer him on, economic analysis has estimated that she has added more than $330 million in brand value to the Chiefs and the NFL simply by showing up to games. Viewership of Chiefs games is up and sales of Travis Kelce jerseys increased by 400% almost overnight when Taylor started appearing at games and their love story became a storyline for the NFL. This gigantic economic boost from her presence at NFL games has been called "The Taylor Swift Effect" many times by the press.

At DataClassroom we wondered, does this Taylor Swift effect extend onto the field of play. Does her presence at a game influence the success that the Kansas City Chiefs have on the football field? Does Taylor's presence have a measurable effect on the individual play of Travis Kelce? We know all too well how to approach questions like these, and that is with data.

Examine this dataset to test for The Taylor Swift Effect on the performance of Travis Kelce and the Kansas City Chiefs. Are you...ready for it? Ok, we'll stop now ;)

Dataset

This dataset contains performance and outcome data from every Kansas City Chiefs game in the 2023 regular season and the playoffs through the AFC championship game. The football data for this dataset were sourced from and the data on Taylor Swift's attendance were sourced from US Weekly Celebrity News .

Variables

Date - This info variable describes the date of the game played. It is listed as month / day / year. It is not in a format to be included in any analysis

Game # - This numeric variable indicates which game was being played. Games are listed chronologically with the first game of the season as 1 and the most recent game (AFC Championship game) listed as 19.

Opponent - This categorical variable records which team the Kansas City Chiefs were playing for that game.

location- This categorical variable indicates if the team was playing at Arrowhead Stadium (home) or at an away location.

KC Win or Loss? - This categorical variable records if the Kansas City Chiefs won or lost the game.

KC Points - This numeric variable is how many points were scored by the Kansas City Chiefs in that game.

Opp Points - This numeric variable is how many points were scored by the Chief's opponent team in that game.

Was Taylor Swift at the game? - This categorical variable records if Taylor Swift was in attendance at the game or not. It can have the value of Yes or No.

Kelce Receptions - This numeric variable describes how many passes Travis Kelce caught in the game. (A reception is when an offensive player catches a forward pass from a teammate who throws the ball from behind the line of scrimmage.)

Kelce Receiving Targets - This numeric variable indicates how many times the ball was thrown to Travis Kelce during a game.

Kelce Receiving Yards - This numeric variable measures the total number of yards gained on all Travis Kelce receptions during a single game.

Kelce Yards per Reception - This numerical variable describes the average number of yards per reception. Calculated by taking total receiving yards and divided by number of receptions.

Kelce Touchdown - This categorical variable indicates if Travis Kelce scored a receiving touchdown during the game or not. (A receiving touchdown is scored when a player catches the ball in the field of play and advances it into the end zone, or catches it while already being within the boundaries of the end zone.)

Kelce Long Reception (YDS) - This numeric variable is the longest reception Travis Kelce made during a game. Units is yards.

KC Total Yards - This numeric variable describes the total amount of yards gained by the Kansas City offense (yards gained while carrying the football beyond the line of scrimmage) or passed (yards gained after receiving and running a ball) by all players on the Kansas City Chiefs combined.

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Can the Taylor Swift effect be seen in the NFL statistics for Travis Kelce and the Kansas City Chiefs? Explore this introductory data science exercise to test for a difference in performance when Taylor is at the game.