As of April 5, 2024, the concert movie “Taylor Swift: The Eras Tour” garnered around 262 million U.S. dollars worldwide and about 181 million dollars domestically during its release weekend. "The Eras Tour" is holding first place as the highest-grossing concert movie ever made, followed by "Justin Bieber: Never Say Never", released in 2011.

💁‍♀️Please take a moment to carefully read through this description and metadata to better understand the dataset and its nuances before proceeding to the Suggestions and Discussions section.

Dataset Description:

This dataset provides a comprehensive collection of setlists from Taylor Swift’s official era tours, curated expertly by Spotify. The playlist, available on Spotify under the title "Taylor Swift The Eras Tour Official Setlist," encompasses a diverse range of songs that have been performed live during the tour events of this global artist. Each dataset entry corresponds to a song featured in the playlist.

Taylor Swift, a pivotal figure in both country and pop music scenes, has had a transformative impact on the music industry. Her tours are celebrated not just for their musical variety but also for their theatrical elements, narrative style, and the deep emotional connection they foster with fans worldwide. This dataset aims to provide fans and researchers an insight into the evolution of Swift's musical and performance style through her tours, capturing the essence of what makes her tour unique.

Data Collection and Processing:

Obtaining the Data: The data was obtained directly from the Spotify Web API, specifically focusing on the setlist tracks by the artist. The Spotify API provides detailed information about tracks, artists, and albums through various endpoints.

Data Processing: To process and structure the data, Python scripts were developed using data science libraries such as pandas for data manipulation and spotipy for API interactions, specifically for Spotify data retrieval.

Workflow:

Authentication API Requests Data Cleaning and Transformation Saving the Data

Attribute Descriptions:

• artist_name: the name of the artist (Taylor Swift)
• track_name: the title of the track
• is_explicit: Indicates whether the track contains explicit content
• album_release_date: The date when the track was released
• genres: A list of genres associated with Beyoncé
• danceability: A measure from 0.0 to 1.0 indicating how suitable a track is for - dancing based on a combination of musical elements
• valence: A measure from 0.0 to 1.0 indicating the musical positiveness conveyed by a track
• energy: A measure from 0.0 to 1.0 representing a perceptual measure of intensity and activity
• loudness: The overall loudness of a track in decibels (dB)
• acousticness: A measure from 0.0 to 1.0 whether the track is acoustic
• instrumentalness: Predicts whether a track contains no vocals
• liveness: Detects the presence of an audience in the recordings speechiness: Detects the presence of spoken words in a track
• key: The key the track is in. Integers map to pitches using standard Pitch Class notation
• tempo: The overall estimated tempo of a track in beats per minute (BPM)
• mode: Modality of the track
• duration_ms: The length of the track in milliseconds
• time_signature: An estimated overall time signature of a track
• popularity: A score between 0 and 100, with 100 being the most popular

Note: Popularity score reflects the score recorded on the day that retrieves this dataset. The popularity score could fluctuate daily.

Potential Applications:

• Predictive Analytics: Researchers might use this dataset to predict future setlist choices for tours based on album success, song popularity, and fan feedback.

Disclaimer and Responsible Use:

This dataset, derived from Spotify focusing on Taylor Swift's The Eras Tour setlist data, is intended for educational, research, and analysis purposes only. Users are urged to use this data responsibly, ethically, and within the bounds of legal stipulations.

• Compliance with Terms of Service: Users should adhere to Spotify's Terms of Service and Developer Policies when utilizing this dataset.
• Copyright Notice: The dataset presents music track information including names and artist details for analytical purposes and does not convey any rights to the music itself. Users must ensure that their use does not infringe on the copyright holders' rights. Any analysis, distribution, or derivative work should respect the intellectual property rights of all involved parties and comply with applicable laws.
• No Warranty Disclaimer: The dataset is provided "as is," without warranty, and the creator disclaims any legal liability for its use by others.
• Ethical Use: Users are encouraged to consider the ethical implications of their analyses and the potential impact on artists and the broader community.
• Data Accuracy and Timeliness: The dataset reflects a snapshot in time and may not represent the most current information available. Users are encouraged to verify the data's accuracy and timeliness.
• Source Verification: For the most accurate and up-to-date information, users are encouraged to refer directly to Spotify's official website.
• Independence Declaration: ...

Since The Eras Tour Film was just released, this time we're exploring Taylor Swift song data!

Are you Ready for It?

The taylor R package from W. Jake Thompson is a curated data set of Taylor Swift songs, including lyrics and audio characteristics. The data comes from Genius and the Spotify API.

There are three main datasets.

The first is taylor_album_songs, which includes lyrics and audio features from the Spotify API for all songs on Taylor’s official studio albums. Notably this excludes singles released separately from an album (e.g., Only the Young, Christmas Tree Farm, etc.), and non-Taylor-owned albums that have a Taylor-owned alternative (e.g., Fearless is excluded in favor of Fearless (Taylor’s Version)). We stan artists owning their own songs.

You can access Taylor’s entire discography with taylor_all_songs. This includes all of the songs in taylor_album_songs plus EPs, individual singles, and the original versions of albums that have been re-released as Taylor’s Version.

Finally, there is a small data set, taylor_albums, summarizing Taylor’s album release history.

Information on the audio features in the dataset from Spotify are included in their API documentation.

For your visualizations, the {taylor} package comes with it’s own class of color palettes, inspired by the work of Josiah Parry in the {cpcinema} package.

You might also be interested in the tayoRswift package by Alex Stephenson, a ggplot2 color palette based on Taylor Swift album covers. "For when your colors absolutely should not be excluded from the narrative."

Data Dictionary

taylor_album_songs.csv

A dataset of mentions, growth rate, and total volume of the keyphrase 'Eras Tour' over time.

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As of October 2024, "Taylor Swift: The Eras Tour" was the highest grossing concert movie released in theaters with a total global revenue of ****** million U.S. dollars. It surpasses "Justin Bieber: Never Say Never", released in 2011, currently in second position with a total box office revenue of ** million U.S. dollars. A new era for Taylor Swift Following the footsteps of Taylor Swift’s highly successful ongoing tour, "Taylor Swift: The Eras Tour" is a box office sensation. As of April 2024, the most recent data showed that around 70 percent of the film's box office revenue was generated in the United States and Canada alone. Taylor Swift's concert film managed to climb to eighth place in the year's highest grossing movie weekends, behind heavy hitters such as “Barbie” and “The Super Mario Bros. Movie”. Swift not only has a large and loyal fanbase, but is now a household name - in 2023, three quarters of Americans were very or somewhat familiar with her work. Rethinking the movie experience The year 2023 turned out to be a mixed bag for the world of cinema. While attendance and box office figures are generally on the rise following the decrease recorded in 2020, these values have struggled to reach pre-pandemic levels. The success of the “Barbenheimer” phenomenon is nevertheless an indication that audiences are still ready to flock to cinemas for films which are set to become major events. Moreover, the release of several concert films such as “Taylor Swift: The Eras Tour” and "Renaissance: A Film by Beyoncé" is proof that cinema has the capacity to achieve a wider cultural impact beyond feature films.

The Eras Tour Amerikalı şarkıcı söz yazarı Taylor Swift in altıncı konser turnesidir 2019 2020 arasında çıkan albümleri

In North America, the highest gross revenue for a music tour in 2024 was that of Taylor Swift, which generated over one billion U.S. dollars that year. Coldplay and P!NK followed, with tours grossing 421 and 367 million dollars, respectively.

In 2024, it cost an average of ****** U.S. dollars to see an artist live in concert. This marks a substantial increase from 2015, when a gig ticket cost just over ** dollars. However, as these prices are averages, they do not necessarily reflect additional costs, which can vary wildly according to venue, seating type and the artist themselves. For some of the world’s biggest stars, concertgoers across the world can expect to may significantly more than the global average. Another factor which can influence ticket prices is the seller. Online ticket resale marketplaces such as ViaGoGo have often come under fire for advertising tickets at vastly inflated prices, and a proliferation of unofficial sellers means that buyers are often charged more than the tickets were worth in the first place. The leading music promoter worldwide in 2024 was Live Nation, which sold a total of over ** million tickets worldwide. Other large music promoters include Eventim Live and AEG Presents. Live music: an expensive but addictive hobbyDespite rising ticket prices, consumers with a taste for seeing their favorite artists play live appear relatively unfazed by cost. In 2024, the number of music tour tickets sold worldwide amounted to **** million, representing a slight decrease of **** percent compared to 2023, when **** million tickets were sold. These fluctuations have been ongoing since 2011 and appear to be a normal aspect of the industry. Naturally, the number of tickets sold depends on a variety of factors, including which artists or bands are playing that year, the type of tour an entertainer is offering (e.g. a greatest hits tour versus an album tour) and the location of the gig itself. Many artists have achieved fame and popularity on a global level, with their tours generating hundreds of millions of dollars. In 2024, the most successful music tour worldwide based on gross revenue was Taylor Swift's Eras Tour, which grossed over **** billion U.S. dollars, making it the first tour to achieve this milestone twice.

For the second consecutive year, Taylor Swift topped the ranking of highest-grossing live music tours worldwide in 2024. Her Eras Tour grossed over 1.04 billion U.S. dollars in 2024, making it the first tour to achieve this milestone twice. Additionally, it became the first tour in history to surpass two billion U.S. dollars in total gross revenue globally. By doing so, she more than doubled the gross revenue of Coldplay's Music of the Spheres World Tour, which ranked second on the list, grossing 421.7 million U.S. dollars. Taylor Swift and Beyoncé dominate domestic live music market in 2023 Taylor Swift and Beyoncé, who made 2023 the first year since 2008, when two women had led the ranking of most successful worldwide tours, also came on top in their home-ground market. In fact, looking at the gross revenues of their music tours in North America, it is clear that by far the biggest share of their worldwide gross revenue originates from concerts given in that region of the globe. However, this is also true for other artists that made in into the global Top 10: Drake's live music revenues come exclusively from North America, while Morgan Wallen's share stood around 97 percent. Concerts in 2024 raised the roof of the industry's revenue The overall revenues from the top 100 worldwide tours also reached an historic amount in 2024. Ignoring 2020 and 2021, when the pandemic made these tour revenues plummet, revenues had been growing year by year. Yet, figures from pre-pandemic years strongly suggest that this growth was in the risk of stagnation. By contrast, the growth between 2022 and 2024 has gone through the roof, with total revenues from the most successful worldwide tours grossing a record 9.5 billion U.S. dollars in 2024, marking a historic year for live entertainment.

Consists of 2,864 videos each with a label from 25 different classes corresponding to an event unfolding 5 seconds. The ERA dataset is designed to have a significant intra-class variation and inter-class similarity and captures dynamic events in various circumstances and at dramatically various scales.

Following the 2019 release of "Lover," Taylor Swift undertook the task of re-recording her earlier albums. This decision was spurred by the sale of all rights to her music catalog by her former record label, Big Machine Records, to her music manager, Scooter Braun. With the release of each subsequent album, Taylor introduced new merchandise, propelling the American artist to unprecedented heights. Since 2019, the traffic to Taylor's online store has steadily increased. This phenomenon has particularly intensified in 2023, marked by the launch of "The Eras Tour," where each concert is a journey through her various musical "eras" of the past 17 years. From January to September 2023, the singer's online store had surpassed ** million DTC (direct-to-consumer) visits.

Along with the increasing use of unmanned aerial vehicles (UAVs)

By 2023, Taylor Swift's "Eras Tour" has become the most successful worldwide music tour of all time, as it was the first tour to gross over a billion U.S: dollars around the globe. Elton John's farewell tour grossed around 940 million U.S. dollars, earning him second place in the ranking. Ed Sheeran's "Divide" tour completed the Top 3, grossing approximately 776 million U.S. dollars.

BackgroundThe enhanced recovery after surgery (ERAS) protocol for colorectal cancer resection recommends balanced perioperative fluid therapy. According to recent guidelines, zero-balance fluid therapy is recommended in low-risk patients, and immediate correction of low urine output during surgery is discouraged. However, several reports have indicated an association of intraoperative oliguria with postoperative acute kidney injury (AKI). We investigated the impact of intraoperative oliguria in the colorectal ERAS setting on the incidence of postoperative AKI.Patients and methodsFrom January 2017 to August 2019, a total of 453 patients underwent laparoscopic colorectal cancer resection with the ERAS protocol. Among them, 125 patients met the criteria for oliguria and were propensity score (PS) matched to 328 patients without intraoperative oliguria. After PS matching had been performed, 125 patients from each group were selected and the incidences of AKI were compared between the two groups. Postoperative kidney function and surgical outcomes were also evaluated.ResultsThe incidence of AKI was significantly higher in the intraoperative oliguria group than in the non-intraoperative oliguria group (26.4% vs. 11.2%, respectively, P = 0.002). Also, the eGFR reduction on postoperative day 0 was significantly greater in the intraoperative oliguria than non-intraoperative oliguria group (−9.02 vs. −1.24 mL/min/1.73 m2 respectively, P < 0.001). In addition, the surgical complication rate was higher in the intraoperative oliguria group than in the non-intraoperative oliguria group (18.4% vs. 9.6%, respectively, P = 0.045).ConclusionsDespite the proven benefits of perioperative care with the ERAS protocol, caution is required in patients with intraoperative oliguria to prevent postoperative AKI. Further studies regarding appropriate management of intraoperative oliguria in association with long-term prognosis are needed in the colorectal ERAS setting.

According to the results of a survey conducted in the United States in October 2023, about ** percent of respondents aged 30 to 44 years old stated that they considered themselves Taylor Swift fans. More than one in ** survey respondents aged 65 years or older stated the same. The phenomenon of Taylor Swift Since her first album in 2006, Taylor Swift has managed to build a global brand around her music. According to an analysis from 2023, she officially became a billionaire after making approximately *** million U.S. dollars through ticket sales and merchandise. Another main component of her income is the release and re-release of her music. However, 2023 seemed to be the year of Taylor Swift in other regards as well. Her Eras Tour, which she launched in March, grossed over *********** U.S. dollars, becoming the highest grossing tour of all time. Additionally, it is estimated that Swift even boosted the U.S. economy with her tour, by *** billion U.S. dollar Yet, she did not stop there, turning her tour into a concert film, which quickly became the most successful concert film in history. By the end of the year, she was Spotify’s most streamed artist globally and subsequently Time Magazine named her “Person of the Year.”

Por primera vez Taylor Swift llegó a Latinoamérica y lo hace con su tan esperado Eras Tour. La artista estadounidense comenzó su andadura latinoamericana el ** de agosto de 2023 en México para continuar en en Buenos Aires y finalizar en Rio de Janeiro y San Pablo. A pesar de ser el mismo espectáculo, el precio de las entradas varió considerablemente entre los países, siendo los fans mexicanos las que dinero gastaron. En concreto, pagaron alrededor de un **% más que los fanáticos argentinos.

data on the effect of carbohydrate drink prior to gynecologic surgery, in addition to the ERAS protocol.

ERA-20C is ECMWF's first atmospheric reanalysis of the 20th century, from 1900-2010. It assimilates observations of surface pressure and surface marine winds only. It is an outcome of the ERA-CLIM project. ERA-20C was produced with IFS version CY38r1 and the same surface and atmospheric forcings as the final version of the atmospheric model integration ERA-20CM. A coupled atmosphere land surface and ocean wave model is used to reanalyze the weather, by assimilating surface observations. The ERA-20C products describe the spatial-temporal evolution of the atmosphere (on 91 vertical levels, between the surface and 0.01 hPa), the land-surface (on 4 soil layers), and the ocean waves (on 25 frequencies and 12 directions). The horizontal resolution is approximately 125 km (spectral truncation T159). Note that atmospheric data are not only available on the native 91 model levels, but also on 37 pressure levels (as in ERA-Interim), 16 potential temperature levels, and the 2 potential vorticity unit level. NCAR's Data Support Section (DSS) is performing and supplying a grid transformed version of ERA-20C, in which variables originally represented as spectral coefficients or archived on a reduced Gaussian grid are transformed to a regular 320 longitude by 160 latitude N80 Gaussian grid. In addition, DSS is also computing horizontal winds (u-component, v-component) from spectral vorticity and divergence where these are available. The data is being organized into single parameter time series. The assimilation methodology is 24-hour 4D-Var analysis, with variational bias correction of surface pressure observations. Analysis increments are at T95 horizontal resolution (approximately 210 km). The analyses provide the initial conditions for subsequent forecasts that serve as backgrounds to the next analyses. The spatial temporal evolution of background errors was provided by a 10-member ensemble produced a priori. The observations assimilated in ERA-20C include surface and mean...

This repository includes supporting material for a paper draft of "Test Code Review in the Era of GitHub Actions: A Replication Study". Due to the extended time required to fetch the raw data (2–8 days per project depending on PR volume) and the total size exceeding 10GB, we did not upload the raw datasets. Instead, we share the processed data and the original fetching scripts to support reproducibility.