I'm looking for someone to help me with exploratory analysis and correlation analysis using R for a survey I've created. The area of research is music and emotion.
I need someone who can suggest statistical methods and also produce nice graphics to report on the survey. Ideally, I should be able to run the code on my machine and produce the charts. I need someone to work closely with me and be available for a handful of hours in one week to do this work.
Currently, I have 87 musical scales in rows and 16 emotional attributes (quantitative) in the column. I probably also want to extend the data so that each scale has a Y/N value for the 12 notes in music. This way we might be able to determine if a certain note is associated with a certain emotion. I will later add three columns to provide RGB values for colours suggested by survey participants for each scale.
For each scale, there are multiple results from the various participants in the study, so most of the work is to summarise the data and organise it so it is useful for a musician looking to find a particular scale that suits a particular mood.
If you want to download the file structure for the survey, you can find it in the Excel file provided here. You will need Excel to be able to open it as it has macros, however I can convert it to csv if needed. https://www.upwork.com/jobs/~01ddcc336b42433d65
If all goes well with the right candidate I may add some demographic information such as gender, musical preferences and other indicators I have collected which may be relevant for future research.
To begin with I think we can generate at least two graphics, using the following libraries.
Other charts may also be explored, to make the data visually useful. For instance, we may want to do some cluster analysis of certain colours that are associated with certain emotions. Alternatively, we could discuss if Principle Component Analysis would be useful.
See the attached image of a heatmap of the data. The structure is quite simple, but some small additions that I mentioned above may be made. I've also attached the colour association section of the survey for those curious about what that part is about.