https://rilloraza.com rilloraza Mon, 14 Jul 2025 00:56:25 +0000 https://rilloraza.com en https://rilloraza.com/Index Sun, 13 Jul 2025 21:26:51 +0000 rilloraza https://rilloraza.com/Index https://rilloraza.com/Animal-Control-Performance-Tracker Sun, 13 Jul 2025 22:35:35 +0000 rilloraza https://rilloraza.com/Animal-Control-Performance-Tracker Tableau Dashboard Analyzing Animal Control Field Performance Personal Project June 29, 2025 <img width="1249" height="4374" width_o="1249" height_o="4374" data-src="https://freight.cargo.site/t/original/i/5ac21c875cb8fd14c1c6d1635c8038f403f836317fff17f820e7512cd01b7b11/Field-Performance-Tracker-1.png" data-mid="235764529" border="0" src="https://freight.cargo.site/w/1000/i/5ac21c875cb8fd14c1c6d1635c8038f403f836317fff17f820e7512cd01b7b11/Field-Performance-Tracker-1.png" /> ︎︎︎Tableau This dashboard analyzes animal control response performance across four key jurisdictions in East Baton Rouge Parish, focusing on response times, officer workloads, and equipment utilization. Key Insights🐾 The average response time (time it takes for an officer to arrive on the scene) is 65 minutes.🐾 Central is the slowest of the four jurisdictions, especially in call handling.🐾 Most delays are seen for incidents reported in the early morning hours.🐾 Longer delays towards the end of the week and the end of the workday.🐾 The most used equipment corresponds with the top-performing officers. Most officers tend to stick to one equipment throughout their career. Recommendations🐾 Improve dispatch efficiency in Central by investigating call routing, call taker workload, or system lags.🐾 Re-evaluate staffing during early morning hours and assign patrol units closer to known morning hotspots.🐾 Investigate and optimize Friday and 4 pm shifts. Consider adjusting shift overlaps and transitions. 🐾 Rotate overburdened units out of the busiest zones or high-performing officers to reduce breakdowns and maintenance costs.🐾 Implement regular equipment performance reviews to identify performance trends early. CreditsThe dataset came from Open Data Baton Rouge. https://rilloraza.com/Rat-Summer Sun, 13 Jul 2025 22:14:36 +0000 rilloraza https://rilloraza.com/Rat-Summer Tableau Dashboard Analyzing New York City Rat Sightings Personal Project June 12, 2025 <img width="999" height="3999" width_o="999" height_o="3999" data-src="https://freight.cargo.site/t/original/i/c5c97b62d49eacfe9ff4c2d95d69c4c9b141830b40798f4c16f1c7c7953fbf79/rat-summer.png" data-mid="235760880" border="0" src="https://freight.cargo.site/w/999/i/c5c97b62d49eacfe9ff4c2d95d69c4c9b141830b40798f4c16f1c7c7953fbf79/rat-summer.png" /> ︎︎︎Tableau&nbsp;︎︎︎Github The design of this dashboard was inspired by Charli XCX's hit album "brat" and the TikTok phenomenon "rat girl summer", because that is the kind of energy these New York City rats are giving! (Also because I love that album and I'm chronically online, so I had a lot of fun with this one) Key Insights 🍏 Rat sightings are rising, but rat complaints haven't outpaced total 311 calls 🍏 Sightings peak in the summer and on weekdays, likely due to higher human activity and observation bias, not rat behavior. 🍏 Brooklyn and Manhattan have the most reports, likely influenced by their high population density. But are there more rats or just more people spotting them? 🍏 The majority of rats are being reported near residential buildings. NYC residents probably care more about seeing rats near their homes. 🍏 During the COVID lockdown, sightings dropped as fewer people were outside to see and report rats, not because rats disappeared after lockdown. Increased outdoor dining and street activity likely boosted both rat presence and sightings. Mayor Eric Adams declared "war on rats" in 2022; he enacted policies and many initiatives to mitigate the number of rats in New York City, but the data shows that... It's not really working. With only a 1% decrease in sightings since his announcement, rat summer isn't going anywhere for a while. Recommendations🍏 Target sanitation efforts by season and borough. Sightings spike in the summer and in denser boroughs. Prioritize proactive trash collection, rat-proofing, and inspections in these areas during warmer months. 🍏 Focus on hotspots near residential buildings and landmarks. Since the majority of sightings occur near residential buildings and landmarks, deploying more rodent control infrastructure in these zones can improve rat sightings. 🍏 Design better public infrastructure for trash. NYC's aging infrastructure struggles with its waste volume. Pilot programs with sealed bins, compost pickup, or neighborhood clean-up campaigns could help reduce food access for rats in problem zones. Credits The dataset came from NYC Open Data. https://rilloraza.com/Marketing-Campaign-Analysis Sun, 13 Jul 2025 21:48:09 +0000 rilloraza https://rilloraza.com/Marketing-Campaign-Analysis Marketing Campaign Analysis Analyzing Campaign Strategy for a Global Telecommunications Company Fellowship Capstone Project May 27, 2025 <img width="3000" height="1688" width_o="3000" height_o="1688" data-src="https://freight.cargo.site/t/original/i/3ff5de2fb6ed08486fdaf3ad6d8b2652980f86e760b48281ea977bd2c49d0964/Campaign-Analysis-images-0.jpg" data-mid="235760569" border="0" src="https://freight.cargo.site/w/1000/i/3ff5de2fb6ed08486fdaf3ad6d8b2652980f86e760b48281ea977bd2c49d0964/Campaign-Analysis-images-0.jpg" /> <img width="3000" height="1688" width_o="3000" height_o="1688" data-src="https://freight.cargo.site/t/original/i/27ad3cc5000603f5832f8a0e75f75cbfbab5599eea748432fa76aeecd95454fc/Campaign-Analysis-images-1.jpg" data-mid="235760570" border="0" 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Creative Analyst - Cindy Celedonio Inventory Analyst - Krys Rilloraza ObjectiveOur team’s campaign analysis for a global telecommunications company focused primarily on making recommendations based on KPIs in performance and branding metrics to recommend actionable suggestions to improve performance, along with a plan for implementing those recommendations. Location AnalysisThe city of LaFayette, Indiana, has been the most cost-effective location from our dataset. It has the lowest CPA of $138.47 and the highest average Viewable Impressions of 121,435 impressions. Additionally, Lafayette, Indiana, also has the lowest CPM of $7.96 and the lowest CPC of $3.96. All of these numbers are below the targeted KPIs we were given, so this city should be a focus point for future campaigns as long as its data remains this cost-effective. A high-performing state, based on our data, has been Ohio, scoring high on metrics such as CPA, CPC, vCPM, and Viewability. We recommend focusing on Ohio for future campaigns due to its high performance. The lowest performing state has been Kentucky, scoring bottom in metrics such as CTR, Viewability, Viewable Impressions, and vCPM. We recommend allocating resources to high-performing states. Audience Analysis Due to their low CPA, high CTR, and high CVR, the top three personas that were derived from the data were “Basketball”, “Property Manager”, and “Make-up and Cosmetics”. These audience personas were not only cost-effective, but they also took the desired actions, like making a specific purchase or signing up for a subscription. In the future, an audience that might be desirable would be luxury car owners due to their high ranks in branding and performance metrics. This might be due to their ability to allocate funds towards multiple endeavors and their similarity to the previously stated audience personas. Creative Analysis Ad sizing has a direct impact on key performance indicators (KPI) like marketing campaign clicks, conversions, and impressions. To promote a positive outcome, appropriate ad sizing is crucial for the overall campaign performance and goal completion. With this in mind, we looked at the trends between the following ad dimensions: 300x50, 300x250, and 320x50. Ad size 300x250 showed versatility across media platforms, whether smartphone, windows pc, or apple pc. It also had the greatest conversion turnout when featured on the smartphone platform. Additionally, it produced more conversions than the other sizes across all three platforms. Ad size 300x250 emerged as the most efficient dimension compared to the others in terms of conversion production and creative messaging. It is also the least expensive per thousand viewable impressions and produced the highest click-through rate. Presentation visuals showed versatility in device make and high performance in creative messaging and conversions. For these reasons, the best recommendation in terms of high marketing campaign performance amongst viewers is ad size 300x250. Inventory Analysis Based on our analysis, Kargo was the best exchange based on performance. It has fantastic CTR and CPA, but it’s expensive. Sovrn, Taboola, and Gumgum would be good alternatives based on engagement. Although the viewability rate does not meet the goal. The top-performing publisher in this dataset is historycollection.com, with a balanced performance all around. While outlook.live.com has better performance, its CPA is quite high. Great alternatives are fortune.com because of its solid metrics, or taboolanews.com and mobilepossee.com because most metrics meet the benchmark, but would need to consider their low viewability. The top choice for direct buy is outlook.live.com because of its consistent performance across different exchanges. outlook.live.com offers high viewability, strong engagement, guaranteed inventory, and brand safety, so a suggested direct buy CPM rate of $40–$50 (above benchmark) is justified. Good backup choices would be historycollection.com, for niche ads and conversion-driven campaigns for a CPM rate of $25–$30, and fortune.com for brand awareness and prestige campaigns for a CPM rate of $20–$25. https://rilloraza.com/Box-Office-Analysis-for-A24 Thu, 10 Apr 2025 06:16:09 +0000 rilloraza https://rilloraza.com/Box-Office-Analysis-for-A24 Box Office AnalysisA24’s Next Film Fellowship Mid-Cycle Project April 7, 2025 <img width="3000" height="1688" width_o="3000" height_o="1688" data-src="https://freight.cargo.site/t/original/i/a8f1aa9326927f23c6fcb96e877cb99f13b0eba90db6da37d66ba5c4580251b4/A24-s-Next-Film-Project-images-0.jpg" data-mid="229581720" border="0" src="https://freight.cargo.site/w/1000/i/a8f1aa9326927f23c6fcb96e877cb99f13b0eba90db6da37d66ba5c4580251b4/A24-s-Next-Film-Project-images-0.jpg" /> <img width="3000" height="1688" width_o="3000" height_o="1688" 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height_o="1688" data-src="https://freight.cargo.site/t/original/i/bb540b74744b8f691cf155cc867a5c6e62884609010b1197061e13bb11d7b5c2/A24-s-Next-Film-Project-images-21.jpg" data-mid="229581741" border="0" src="https://freight.cargo.site/w/1000/i/bb540b74744b8f691cf155cc867a5c6e62884609010b1197061e13bb11d7b5c2/A24-s-Next-Film-Project-images-21.jpg" /> <img width="999" height="4686" width_o="999" height_o="4686" data-src="https://freight.cargo.site/t/original/i/9f0f332c0c460736554dd19ee6a18f74c68a8face985b36d29777e25a49f0fad/A24-s-Next-Film-Project.png" data-mid="229754705" border="0" src="https://freight.cargo.site/w/999/i/9f0f332c0c460736554dd19ee6a18f74c68a8face985b36d29777e25a49f0fad/A24-s-Next-Film-Project.png" /> ︎︎︎Tableau The Team Krys Rilloraza, Cindy Celedonio, Kabelo Muhammad, and Ramon Quinto. The Business Task Step into the shoes of data consultants for A24 to analyze box office performance data to help them decide the direction of their next film project. Key Insights Horror films have the highest return on investment out of all the film genres at 1,184%.Most films have their highest revenue release days on Mondays, Thursdays, and Saturdays.Revenue may increase by marketing with another movie in an opposite genre with the same premiere date.Genre Recommendation:The three genres with the highest ROI are horror, religious, and documentary, with 1,184%, 621%, and 585% respectively. A close fourth is the thriller genre with a 503% ROI, and thriller is one of the subgenres for some of the horror films in the dataset. So, we highly recommend that A24 pursue the horror movie genre for the upcoming film. Director/Cast Recommendation: The top four most lucrative actors/actresses by average return on investment who starred in horror films are the following: Suzan Crowley, Shelley Hennig, Annabelle Wallis, and Jonathan Sadowski. The top four horror film directors by average return on investment include the following: Levan Gabriadze, William Brent Bell, John R. Leonetti, and Bradley Parker. We recommend that the top actors/actresses listed above be featured in the next horror film, along with the director generating the highest average return on investment for horror films. Levan Gabriadze would be the best fit for the director role, with an average return on investment of $63.1 million. Marketing Recommendation: Regarding the timing of the release of A24’s next film, there are multiple factors to consider. The first is which season(s) in the year are the most profitable for horror films. According to the data, horror films with high ROI are released in the summer, at the start of fall, and around the holiday season. Summertime is a popular season for movie releases because moviegoers are usually on vacation. For horror, the beginning of fall is also a popular time because of the lead-up to Halloween. Lastly, it’s known that people tend to seek horror films around the holiday season to cope with the stress of gift-giving and hosting. Next, our analysis indicates that Friday is the most popular release day for all movies. While this could be a great option for a release day, there will be more competition. But with the proper marketing strategy, we can use this to our advantage. For example, in 2023, the Barbenheimer phenomenon was a huge success. Marketing two seemingly opposite films premiering on the same night generated so much buzz in the media and, ultimately, success for both films. Another day to consider is Tuesdays in the summertime. Theaters like AMC usually offer discounted tickets on Tuesdays. Since A24’s next film has a low budget, this would be an easy way to get more people to the movie theaters. Therefore, boosting the film’s ROI. https://rilloraza.com/Superstore-Dashboard Thu, 20 Sep 2018 04:42:40 +0000 rilloraza https://rilloraza.com/Superstore-Dashboard Tableau DashboardSuperstore Dashboard Fellowship Assignment March 31, 2025 <img width="1624" height="1124" width_o="1624" height_o="1124" data-src="https://freight.cargo.site/t/original/i/ebc1575a9d5c9f4aae37f70a7258bd347a74ddf0e4e60c1d10d706a15801c4c1/Superstore-Dashboard.png" data-mid="229539198" border="0" src="https://freight.cargo.site/w/1000/i/ebc1575a9d5c9f4aae37f70a7258bd347a74ddf0e4e60c1d10d706a15801c4c1/Superstore-Dashboard.png" /> ︎︎︎Tableau https://rilloraza.com/SQL-Murder-Mystery Mon, 14 Jul 2025 00:56:25 +0000 rilloraza https://rilloraza.com/SQL-Murder-Mystery SQL SQL Murder Mystery Personal Project April 15, 2025 <img width="2800" height="2100" width_o="2800" height_o="2100" data-src="https://freight.cargo.site/t/original/i/8a696bbc193e6ed5aadca73f0199e101ce0308e18df512dac35a16c5921d85c1/sql-murder-myster.png" data-mid="235763559" border="0" src="https://freight.cargo.site/w/1000/i/8a696bbc193e6ed5aadca73f0199e101ce0308e18df512dac35a16c5921d85c1/sql-murder-myster.png" /> ︎︎︎Github This project is a SQL-based detective investigation using a fictional crime dataset. The goal was to solve a murder case that occurred on January 15, 2018 in SQL City, by analyzing various interconnected tables such as crime reports, personal records, gym memberships, and driver’s licenses. Objective Use SQL queries to: Investigate a murder case using the crime_scene_report tableIdentify and locate witnesses based on address cluesExamine interview transcripts for critical informationCross-reference gym check-ins and membership recordsMatch license plate details to narrow down the list of suspectsSolve the case by identifying the murderer <img width="960" height="447" width_o="960" height_o="447" data-src="https://freight.cargo.site/t/original/i/db90e8e61b0777e8ce977bf45e653033843d77a76aa5a5d0a79922fd03f2e086/01.png" data-mid="235812178" border="0" src="https://freight.cargo.site/w/960/i/db90e8e61b0777e8ce977bf45e653033843d77a76aa5a5d0a79922fd03f2e086/01.png" /> Read the description of the crime scene report <img width="900" height="507" width_o="900" height_o="507" data-src="https://freight.cargo.site/t/original/i/dbe4316c36414ff8cbe227ee4c560fa282e9aef63eade094026d5ae3daa85fd2/02.png" data-mid="235812179" border="0" src="https://freight.cargo.site/w/900/i/dbe4316c36414ff8cbe227ee4c560fa282e9aef63eade094026d5ae3daa85fd2/02.png" /> Determine who Witness 1 is by the address description “last house on Northwestern Dr.” Witness 1 is Morty Schapiro. <img width="1047" height="447" width_o="1047" height_o="447" data-src="https://freight.cargo.site/t/original/i/ea0c66be104a5e9579ecaebaf132e29de8a4ee44ccfacd8a4baa445b844aae0e/03.png" data-mid="235812180" border="0" src="https://freight.cargo.site/w/1000/i/ea0c66be104a5e9579ecaebaf132e29de8a4ee44ccfacd8a4baa445b844aae0e/03.png" /> Determine who Witness 2 is by address and name description. Witness 2 is Annabel Miller. <img width="900" height="447" width_o="900" height_o="447" data-src="https://freight.cargo.site/t/original/i/e2aefbafdb56adc65c50ebaa4f89a8283bcd02fd3cdc7e39a23dab5d50efb0fe/04.png" data-mid="235812181" border="0" src="https://freight.cargo.site/w/900/i/e2aefbafdb56adc65c50ebaa4f89a8283bcd02fd3cdc7e39a23dab5d50efb0fe/04.png" /> Find the transcripts for both witnesses. <img width="900" height="567" width_o="900" height_o="567" data-src="https://freight.cargo.site/t/original/i/13d99e7fb84a5a7e9ce37b3fe30b00fab80e5867c85c912b5db3773233239a1b/05.png" data-mid="235812182" border="0" src="https://freight.cargo.site/w/900/i/13d99e7fb84a5a7e9ce37b3fe30b00fab80e5867c85c912b5db3773233239a1b/05.png" /> Find the name of the suspect based on the description from the witness report.&nbsp;There are two potential suspects: Joe Germuska and Jeremy Bowers. <img width="900" height="507" width_o="900" height_o="507" data-src="https://freight.cargo.site/t/original/i/7d43f4d968dedb6c0b4d647d8d376b2a5b542f4dbd67bd4ef46d901ef7e12d19/06.png" data-mid="235812183" border="0" src="https://freight.cargo.site/w/900/i/7d43f4d968dedb6c0b4d647d8d376b2a5b542f4dbd67bd4ef46d901ef7e12d19/06.png" /> Find the name of the driver that matches the license plate information.&nbsp;There are two matches: Tushar Chandra and Jeremy Bowers. Jeremy Bowers was confirmed to be seen at the Gym by Witness 1. Jeremy Bowers's license plate matches the description by Witness 2. Jeremy Bowers is the murderer. Key SQL Concepts UsedINNER JOIN to combine data across multiple tablesLIKE and wildcards for partial string matchingORDER BY and LIMIT to isolate relevant dataFiltering with multiple conditions using WHERE clausesUsing IDs to trace relationships between people and recordsOutcome After piecing together clues from multiple tables, I identified Jeremy Bowers as the murderer. This involved: Tracking down two witnesses using address cluesReading their interview transcriptsInvestigating gym check-in data for suspects matching their descriptionsConfirming suspect identity through license plate records Credit This material was adapted from the SQL Murder Mystery by Knight Lab under Creative Commons CC BY-SA 4.0. The SQL Murder Mystery was originally created by Joon Park and Cathy He while they were Knight Lab fellows. See the GitHub repository for more information. https://rilloraza.com/Spotify-with-SQL Sun, 13 Apr 2025 16:32:19 +0000 rilloraza https://rilloraza.com/Spotify-with-SQL SQL Analyzing Spotify’s Most Streamed Songs of 2024 Personal Project April 12, 2025 <img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/fe70c547be1817f69a98b35efcfb7e316e312ebb91d6863ba5bb82b480577fd5/2024.jpg" data-mid="229755228" border="0" src="https://freight.cargo.site/w/1000/i/fe70c547be1817f69a98b35efcfb7e316e312ebb91d6863ba5bb82b480577fd5/2024.jpg" /> About Spotify Spotify is a digital music streaming service that offers access to millions of songs, podcasts, and videos. Spotify boasts a library of over 70 million songs from a diverse range of record labels and media companies. Spotify also has a large number of playlists created by users and the Spotify algorithm. Methodology Cleaned and transformed raw streaming data in MySQL by standardizing formats, removing duplicates, converting data types, and creating a staging table to isolate and analyze Spotify-specific metrics for 2024’s most streamed songs. Analyzed artist performance, track popularity, playlist metrics, and temporal trends to uncover insights on music release strategies, streaming behavior, and content patterns using advanced SQL queries. ︎︎︎Github https://rilloraza.com/Spotify-with-R Thu, 20 Sep 2018 05:12:10 +0000 rilloraza https://rilloraza.com/Spotify-with-R R Programming Finding the Formula to Charting on Spotify Personal Project December 6, 2023 <img width="2560" height="1458" width_o="2560" height_o="1458" data-src="https://freight.cargo.site/t/original/i/a9f2b28a854cdaee19c0e9c39947423c754d1b7e83859f467a230d160629d4f3/2023.jpg" data-mid="229755226" border="0" src="https://freight.cargo.site/w/1000/i/a9f2b28a854cdaee19c0e9c39947423c754d1b7e83859f467a230d160629d4f3/2023.jpg" /> About Spotify Spotify is a digital music streaming service that offers access to millions of songs, podcasts, and videos. Spotify boasts a library of over 70 million songs from a diverse range of record labels and media companies. Spotify also has a large number of playlists created by users and the Spotify algorithm. The Business Task What are the trends in the top 1000 songs of 2023? How can these trends be applied to future songs? How can these trends influence Spotify's marketing strategy? <img width="1150" height="1047" width_o="1150" height_o="1047" data-src="https://freight.cargo.site/t/original/i/f8a3c238ccf26aedaaae5e469b5ff5cd6194adddec560b5163be73712d785139/01a.png" data-mid="235812189" border="0" src="https://freight.cargo.site/w/1000/i/f8a3c238ccf26aedaaae5e469b5ff5cd6194adddec560b5163be73712d785139/01a.png" /> <img width="2400" height="2160" width_o="2400" height_o="2160" data-src="https://freight.cargo.site/t/original/i/b575b7bd987796dbab551d3ca4c72f4bc03ffc3e6d52bd4b8a62f88fa5c03a07/01.png" data-mid="235812188" border="0" src="https://freight.cargo.site/w/1000/i/b575b7bd987796dbab551d3ca4c72f4bc03ffc3e6d52bd4b8a62f88fa5c03a07/01.png" /> <img width="1150" height="1047" width_o="1150" height_o="1047" data-src="https://freight.cargo.site/t/original/i/9af389f81e015a3107da09795571c972c9eab4c204aa71f6bf85db676c8f6241/03a.png" data-mid="235812192" border="0" src="https://freight.cargo.site/w/1000/i/9af389f81e015a3107da09795571c972c9eab4c204aa71f6bf85db676c8f6241/03a.png" /> <img width="2400" height="2160" width_o="2400" height_o="2160" data-src="https://freight.cargo.site/t/original/i/137e3db40306ec9a29e9ab454f7dbb091737c570637a721a121872e1f0aef274/03.png" data-mid="235812191" border="0" src="https://freight.cargo.site/w/1000/i/137e3db40306ec9a29e9ab454f7dbb091737c570637a721a121872e1f0aef274/03.png" /> <img width="1150" height="1137" width_o="1150" height_o="1137" data-src="https://freight.cargo.site/t/original/i/35bf1c035f5592bdb9904de83cb50f432d534f12b7fbe1ac1fc0e684d2a372a0/05a.png" data-mid="235812194" border="0" src="https://freight.cargo.site/w/1000/i/35bf1c035f5592bdb9904de83cb50f432d534f12b7fbe1ac1fc0e684d2a372a0/05a.png" /> <img width="2400" height="2160" width_o="2400" height_o="2160" data-src="https://freight.cargo.site/t/original/i/187d128157cfd628bedb47b8ef33362aca08cfe9a40df7831c6253cba1a84b1a/05.png" data-mid="235812193" border="0" src="https://freight.cargo.site/w/1000/i/187d128157cfd628bedb47b8ef33362aca08cfe9a40df7831c6253cba1a84b1a/05.png" /> <img width="1150" height="2187" width_o="1150" height_o="2187" data-src="https://freight.cargo.site/t/original/i/f4310aa06a2e77664c2be4ba321be1f56d4f3231153b164f287748cf4f7f5c8d/06a.png" data-mid="235812257" border="0" src="https://freight.cargo.site/w/1000/i/f4310aa06a2e77664c2be4ba321be1f56d4f3231153b164f287748cf4f7f5c8d/06a.png" /> <img width="2400" height="1200" width_o="2400" height_o="1200" data-src="https://freight.cargo.site/t/original/i/5b162efc56d38aab2f6bdd7eb5d4a5cbf95e6e910bd3b0d64c851e16e9534f50/06b.png" data-mid="235812258" border="0" src="https://freight.cargo.site/w/1000/i/5b162efc56d38aab2f6bdd7eb5d4a5cbf95e6e910bd3b0d64c851e16e9534f50/06b.png" /><img width="2400" height="960" width_o="2400" height_o="960" data-src="https://freight.cargo.site/t/original/i/bc530cb665cae6de162e5d13d37055255cff89b12a908fe944c8bb41c5a642bc/06.png" data-mid="235812256" border="0" src="https://freight.cargo.site/w/1000/i/bc530cb665cae6de162e5d13d37055255cff89b12a908fe944c8bb41c5a642bc/06.png" /> <img width="1150" height="657" width_o="1150" height_o="657" data-src="https://freight.cargo.site/t/original/i/466f92d3f9ffb10128a872061d818817d33b4dfa39d8ecd35cb3f2a049ddb15f/07a.png" data-mid="235812568" border="0" src="https://freight.cargo.site/w/1000/i/466f92d3f9ffb10128a872061d818817d33b4dfa39d8ecd35cb3f2a049ddb15f/07a.png" /> <img width="2400" height="1200" width_o="2400" height_o="1200" data-src="https://freight.cargo.site/t/original/i/6a0f21d805099b0dbdb75f91feeabcc5189aa8b33cf2561862fde047e1e01e66/07.png" data-mid="235812567" border="0" src="https://freight.cargo.site/w/1000/i/6a0f21d805099b0dbdb75f91feeabcc5189aa8b33cf2561862fde047e1e01e66/07.png" /> Key Findings BPM, Key, and mode have greater impacts on the performance of the song. BPMIt's best not to slow down too much. BPM between 90 and 120 is the best range.Overall average BPM is 122Top 100 average BPM is 121Top 50 average BPM is 120Top 10 average BPM is 117 Songs with high energy and danceability percentages tend to do better as well. Overall average energy is 64%Top 10 average energy is 59%Overall average danceability is 67%Top 10 average danceability is 69%KeyThe Key of C# is the most used key of best best-performing songs Overall - 14%Top 100 - 18%Top 50 - 24%Top 10 - 30%ModeSongs in Major tend to perform better 55% of songs overall are in Major64% of the Top 100 are in Major68% of the Top 50 are in Major70% of the Top 10 are in Major Other Interesting Trends PlaylistsPlaylists may play a role in song popularity. There is a positive trend between the number of playlists a song is in vs. the number of streams. Release DateThe release year of songs may play a role in its performance. It takes about 6 years for a song to reach Top 10. Typically, songs released in the current year do not chart at Top 100. Only 19.5% of the Top 816 were released in the current yearThere were 0 songs in the Top 100 released in the current year44% of Top 816 were released in 202210% of Top 100 were released in 201716% of Top 50 were released in 201740% of Top 10 were released in 201630% of Top 10 were released in 2017 The released month of songs may also play role in its performance. January, May and September were popular months. January and May are the most popular release months for the Top 816 with 13.7% and 14%, respectivelyIn the Top 100:31% of songs were released in January12% of songs were released in September9% of songs were released in MayIn the Top 50:34% of songs were released in January16% of songs were released in SeptemberIn the Top 10:30% of songs were released in January20% of songs were released in SeptemberJanuary: New year, new songs. Spotify users seek out new music.May: Warmer days are around the corner, it's also the perfect time for tours and festivals to promote new music.September: People are back to work or back to school and looking for new songs to concentrate while doing work. Recommendations Future Songs RecommendationsSongs that perform well have the following features: BPM between 90 and 120Higher energy and danceability percentageWritten in the key of C# and/or in a Major keyReleased in January, May, and September Marketing RecommendationsEncourage users to create more playlistsCreate a seasonal tab to get users excited for new musicIn January, highlight new musicIn May, show upcoming festivals where users' favorite artists will be performingIn September, highlight new music to fit the back-to-school/office and upcoming holiday vibes ︎︎︎Read More https://rilloraza.com/Bellabeat-with-R Wed, 09 Apr 2025 04:51:00 +0000 rilloraza https://rilloraza.com/Bellabeat-with-R R Programming Bellabeat Analysis Capstone Project November 30, 2023 <img width="2048" height="1364" width_o="2048" height_o="1364" data-src="https://freight.cargo.site/t/original/i/4e52ed5ca130f9fdfbf55ae99232a4fe0978df1aa7dace3711bbfa142f7ef6af/bellabeat.png" data-mid="229755031" border="0" src="https://freight.cargo.site/w/1000/i/4e52ed5ca130f9fdfbf55ae99232a4fe0978df1aa7dace3711bbfa142f7ef6af/bellabeat.png" /> About Bellabeat Urška Sršen and Sando Mur founded Bellabeat, a high-tech company that manufactures health-focused smart products. Sršen used her background as an artist to develop beautifully designed technology that informs and inspires women around the world. Collecting data on activity, sleep, stress, and reproductive health has allowed Bellabeat to empower women with knowledge about their own health and habits. Since it was founded in 2013, Bellabeat has grown rapidly and quickly positioned itself as a tech-driven wellness company for women. The Business Task What are some trends in smart device usage? How could these trends apply to Bellabeat customers? How could these trends help influence Bellabeat’s marketing strategy? Key Findings Sleep: The participants were not receiving the CDC-recommended 7-8 hours of sleep per day on the weekdays.&nbsp;&nbsp;More daily sedentary hours may decrease the hours of sleep. Although there is not enough data to confirm this correlation is causation.&nbsp;Step count: There is an increased step count and intensity level of activities around 5-7 pm daily. Participants are not reaching the 10,000 daily step count the CDC recommends. There are fewer steps taken during the weekdays and on Sundays. Participants are sedentary for an average of 16 hours per day. ︎︎︎Read More