diff --git a/DATA 200 Review.pptx b/DATA 200 Review.pptx new file mode 100644 index 0000000..105b28e Binary files /dev/null and b/DATA 200 Review.pptx differ diff --git a/DATA.400.Progress.presentation.pptx b/DATA.400.Progress.presentation.pptx new file mode 100644 index 0000000..1630555 Binary files /dev/null and b/DATA.400.Progress.presentation.pptx differ diff --git a/Final/DATA.400.Progress.presentation.pptx b/Final/DATA.400.Progress.presentation.pptx new file mode 100644 index 0000000..1630555 Binary files /dev/null and b/Final/DATA.400.Progress.presentation.pptx differ diff --git a/Final/Progress Presentation b/Final/Progress Presentation new file mode 100644 index 0000000..6a69f92 --- /dev/null +++ b/Final/Progress Presentation @@ -0,0 +1 @@ +f diff --git a/Mini Project Ideas/I b/Mini Project Ideas/I new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/Mini Project Ideas/I @@ -0,0 +1 @@ + diff --git a/Mini Project Ideas/Mini Project Proposal #2.md b/Mini Project Ideas/Mini Project Proposal #2.md new file mode 100644 index 0000000..3c1aa3a --- /dev/null +++ b/Mini Project Ideas/Mini Project Proposal #2.md @@ -0,0 +1,17 @@ +# Mini Project Proposal + +##### Research Question +In this project, I will hope to answer the question of what is the best time to book a hotel based on what region of the world you are trying to book. Hopefully I will be able to distinguish hot spots like cities from less traveled places like the countryside and see how much of a factor time has. Maybe look into breaking it down by how many people for the reservation. I also hope to look into how useful having an agent is in booking. + + +##### Data source, variables +I will use a data source from kaggle, a hotel dataset. https://www.kaggle.com/datasets/mojtaba142/hotel-booking. While this dataset is widely used, I hope to look at it from a different perspective. I will find the difference between the time between reservation date and arrival date. I will also look at it from a different angle in terms of agents. + +##### Models +A model that could help potentially answer this question is a tree model. I would have to figure out which variables are the most important and make them most significant in the tree mode. Then I could branch off from there. + +##### Affect stakeholders +This would help customers be able to pursue the kind of vacation they want for their families at the price they want. This would also help hotels have their rooms set without having to drastically cut their room prices before the room is empty. + +##### Ethical implications +Some ethical implications that can occur is increased airline travel and travel in general. With attainable costs, people might travel more. Hotels can also just raise their room prices but make it seem like a deal. \ No newline at end of file diff --git a/Mini Project Ideas/Mini Project Proposal.md b/Mini Project Ideas/Mini Project Proposal.md new file mode 100644 index 0000000..20b5ca6 --- /dev/null +++ b/Mini Project Ideas/Mini Project Proposal.md @@ -0,0 +1,20 @@ +# Mini Project Proposal + +##### Research Question +In this project, I will hope to answer the question of if time matters from an album and its deluxe is released in terms of billboard chart placement, sales, and engagement in online content. This topic relates to the business concentration since stakeholders would be interested in maximizing their impact in the music landscape. I am interested in this topic because albums like The Weeknd's Starboy came out in 2016 but the deluxe version came out in 2023. Would this revitablize the album and regain relevance? +I am also thinking about doing a visualization of artists' popularity based on their albums and sales. + + +##### Data source, variables +Since this could vary so easily between a big artist and a small artist, I will only be focusing on artists with at least one album and deluxe album off of the most streamed artists off of spotify. From this data I will find all albums with a deluxe version and record the date both were released. +Since time is part of my question it will be my target variable and billboard chart placement, sales, and engagement in online content will be the features. +Then in regards to the age and popularity of an artist, there is a specific website that I will scrape that has album sale and artist that will be my main source of data. + +##### Models +A model that could help potentially answer this question is a tree model. I would have to figure out which variables are the most important and make them most significant in the tree mode. Then I could branch off from there. + +##### Affect stakeholders +Artists and labels would be interested in knowing this answer. This would please fans of the artists and give the label more money to work with for the upcoming project. + +##### Ethical implications +Some ethical implications that can occur are that if more artists start coming up with deluxe albums. This also means they are probably selling it in a physical copy as well which could affect the environment, especially if the copies go unsold and later end in the trash. \ No newline at end of file