Problem Design Statement

In progress

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+I genuinely believe that music streaming is the future of the industry, and it has made music more accessible to people. However, there are many critics who believe that music streaming is hurting the industry, and that music streaming services do not pay artists enough money.
+
+I want to better understand the impact of music streaming services on the music industry and artists based on revenues generated within the industry for artists. I also wish to identify which category of artists (based on popularity) benefit from or are hurt by these music streaming services. In completing this goal, I hope to clarify the misconceptions surrounding music streaming services, and if necessary, inform better royalty pool structures for current and future music streaming services in order to better serve artists. In achieving this, I plan to collect data on revenues generated in the US music industry by format (CD sales, concert ticket sales, vinyl sales, etc.) over 30+ years. Then, I will categorize artists based on their popularity by looking at social media likes/follows, and will collect data on their estimated revenues based on the existing royalty pool structures established by streaming services. Because my main goal is to demystify the impact music streaming services have on the music industry, my priority will lie in collecting data on revenues earned in the music industry.
+
+EDIT
+Goal: I want to better understand the impact of music streaming services on the music industry and artists based on revenues generated within the industry for artists. I also wish to identify which category of artists (based on popularity) benefit from or are hurt by these music streaming services.
+
+Input: Secondary research on what industry people are saying about streaming services, what artists are saying about streaming services. If there are complaints, why are they complaining about it. Collecting data on number of artsits utilizing streaming services, and see which kinds of artists are utilizing streaming services more.  Acknoledge that music streaming services is good. 
+Activities: Production and sale  of music , revenue generated from the sale
+Output: I plan to collect data on revenues generated in the US music industry by format (CD sales, concert ticket sales, vinyl sales, etc.) over 30+ years. Then, I will categorize artists based on their popularity by looking at social media likes/follows, and will collect data on their estimated revenues based on the existing royalty pool structures established by streaming services.
+Outcomes: I want artists to utilize music streaming services to their benefit and see them as a beneficial tool for them as opposed to something that hurts them - prevent exclusives
+
+build model??? predicting model how to do that? 
+
+- how to present
+- what is going on? 
+- argument 
+
+- Do an interactive piece 
+Use Plotly, 
+
+Hypothesis - there'something there. how can i take that to make it clear 
+Think through what the logic model is
+What is impacting the increase? Music industry 
+Looking at historical data
+every time streaming service there is a spike 
+
+pulling aggregate numbers - why I think what it means

Notes

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+Logic Model/Theory of Action (scientific method)
+
+Input -  theory we're collecting, other thoughts about it, data points we had collected, opinions from someone , more qualatative?
+Activity - Activities we care about (maybe artists going to Apple Music and being vocal?)
+Output - What are we counting? What can we actually capture?  How granular? (how many time slices?) What meaning is ascribed to it? 
+Outcomes -  What do we care about? (i want artists to utilize music streaming services to their benefit and see them as a beneficial tool for them as opposed to something that hurts them - prevent exclusives)
+
+Tidy data
+manageable data
+observations in rows
+variables are in columns
+for 10/6
+
+10/11
+Visualization 
+Three visualizations
+One viz must demonstrate something you learned that relates to your logic model
+R, Plotly, Tableau, excel
+
+Markdown doc
+
+Process
+1. Describe data
+2. Choose methodology
+3. Make notes on the purpose of the method
+4. What data structure does method need? What structure do you have?
+5. Make notes on the limitations of the method
+6. Research the code
+7. Toy data
+8. What are the expected results?
+9. Apply the code to your data
+
+Feature Engineering
+Using domain expertise to reason about what should be included in a model (i.e. classifier)
+very similar to educational statistics
+
+Construct Validity
+Methodology Statement
+  A description of the method you plan to employ to analze your data
+  A list of assumptions, "gotchas" or other considerations you need to be aware of to use that method
+  How you plan to validate both model and constructs

README.md

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     * **Including an fake data set**
 
 Good luck!
+
+--
+I would like to change my problem design statement entirely. 
+Aside from the theatre, I am passionate about music and technology. Particularly, I am a big fan of music streaming. I genuinely believe that music streaming is the future of the industry, and it has made music more accessible to people. However, there are many critics who believe that music streaming is hurting the industry, and that music streaming services do not pay artists enough money.
+
+I want to better understand the impact of music streaming services on the music industry based on revenues and identify which category of artists benefit from or are hurt by streaming services. In completing this goal, I hope to clarify the misconceptions surrounding music streaming services, and if necessary, inform better royalty pool structures. For this project, I plan to collect data on revenues earned in the music industry in the US by format (CD sales, concert ticket sales, vinyl sales, etc.) over 40+ years. Then, I will categorize artists based on their popularity by looking at social media likes/follows, and will collect data on their estimated revenues based on the existing royalty pool structures established by streaming services. Because my main goal is to demistify the impact music streaming services have on the music industry, my priority will lie in collecting data on revenues earned in the music industry.
+