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[How to draw this picture] The series of pictures are all from VIP群
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Zhou Z, Zhou X, Cheng L, et al. Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19. Clin Transl Med. 2021;11(9):e523. doi:10.1002/ctm2.523
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Sample data and code collection
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drawing
install.packages('plotly')
library(plotly)
dt <- data.frame(lymphocyte = runif(100,0,40),
platelet = runif(100,0,200),
neutrophil= runif(100,0,250),
hemoglobin = runif(100,0,200))
head(dt)
p1 <- plot_ly(
dt, x= ~lymphocyte, y= ~platelet, z= ~neutrophil,
color = ~hemoglobin,type='mesh3d', intensity = ~hemoglobin,
colors= colorRamp(rainbow(5))
)
p1
The data is relatively random, mainly to introduce
plotly
this interactive visualization package.
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