Visualization with R

히스토그램 2개 합치기

library(quantmod) getSymbols("BTC/USDT",src="yahoo") chartSeries(BTC/USDT,subset = "2019-07-01::2020-12-28") addATR() addBBands(n=14,sd=2) addCCI()#SPSS Index addWPR()#William Index addSAR()#stopandReverse index addDPO()#RangFlctuateIndex addRSI()#CompareSW Index library(quantmod) getSymbols("IBM",src="yahoo") chartSeries(IBM,subset = "2019-07-01::2020-12-28", theme = "white") addATR() addBBands(n=14,sd=2) addCCI()#SPSS Index addWPR()#William Index addSAR()#stopandReverse index addDPO()#RangFlctuateIndex addRSI()#CompareSW Index

#Expandable time series xts library(xts) data(sample_matrix) # TestDataSet smple_matrix head(sample_matrix) plot(sample_matrix) plot(as.xts(sample_matrix)) plot(as.xts(sample_matrix), type='c')

library(lattice) n <- seq(5, 45, 5) x <- rnorm(sum(n)) y <- factor(rep(n, n), labels=paste("n =", n)) densityplot(~ x | y, panel = function(x, ...) { panel.densityplot(x, col="DarkOliveGreen", ...) panel.mathdensity(dmath=dnorm, args=list(mean=mean(x), sd=sd(x)), col="darkblue") })

Impact of severe weather events on population health and property and crop damage.

Segunda parte del tercer caso de estudio Apicultura: U1A9

getSymbols("MSFT",src="yahoo") chartSeries(MSFT,subset = "2019-07-01::2020-12-31",theme = "white") addATR()#CompareSW Index addBBands(n=14,sd=2) addCCI()#SPSS Index addWPR()#William Index addSAR()#stopandReverse index addDPO()#RangFlctuateIndex

project 1 modeling in regression

PCA using Credit Card Default Data (Taiwan)

Summary and other Related Information on a Data Science Article