Energy In Music

and how it Effects Streams

Author

Perry Lampertius

Intoroduction

I’m going to perform an analyis on spotify data and determine if Songs with a higher energy percentage will have a higher number of streams.

Method

I’m going to perform an analyis on spotify data and determine if Songs with a higher energy percentage will have a higher number of streams

spotify_data <- spotify_data %>%
  mutate(streams = as.numeric(streams))

spotify_data %>%
  mutate(streams = as.numeric(streams)) %>%  
  ggplot(aes(y = `energy_%`, x = streams)) +
  geom_point(color = "blue", alpha = 0.6) +  
  scale_x_log10(labels = scales::comma) +  
  labs(title = "Energy Percentage vs. Number of Streams",
       y = "Energy Percentage", 
       x = "Number of Streams")

Interpretation

Based on the available data, there is no clear evidence of a correlation between the number of streams and the energy percentage of a song. This suggests that a song’s energy level does not significantly impact its streaming performance, or if there is an effect, it may be influenced by other factors