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| bpi_genre_sales_perc <- read.csv("http://myinspirationinformation.com/wp-content/uploads/2014/08/bpi_genre_sales_perc.csv") | |
| bpi_sales_revenue <- read.csv("http://myinspirationinformation.com/wp-content/uploads/2014/08/bpi_sales_revenue.csv") | |
| library(ggplot2) | |
| library(reshape2) | |
| library(ggthemes) | |
| library(plotly) | |
| sales_perc_melt<-melt(bpi_genre_sales_perc) | |
| sales_perc_albums<-sales_perc_melt[sales_perc_melt$Type=="Albums",] |
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| data(counties) | |
| JSON<-jsonNestedData(structure=counties[,1:3], values=counties[,4], top_label="UK") | |
| D3Tree(JSON, file_out="Tree.html") | |
| hc.ave <- hclust(dist(USArrests), "ave") | |
| hc.single <- hclust(dist(USArrests), "single") | |
| hc.ward <- hclust(dist(USArrests), "ward.D") | |
| cut.ave<-cutree(hc.ave, k=6) |
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| library(SpotifyAPI) | |
| out<-visDiscography(artist="Shuggie Otis", output_file="Shuggie Disco.html") |
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| install.packages("devtools") | |
| library("devtools") | |
| install_github("jamesthomson/R2D3") |
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| library(rjson) | |
| #convert output from hclust into a nested JSON file | |
| HCtoJSON<-function(hc){ | |
| labels<-hc$labels | |
| merge<-data.frame(hc$merge) | |
| for (i in (1:nrow(merge))) { |
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