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When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
candy <- read.csv("candy_production.csv")
You can also embed plots, for example:
## Date Candy_Production
## 1 1972-01-01 85.6945
## 2 1972-02-01 71.8200
## 3 1972-03-01 66.0229
## 4 1972-04-01 64.5645
## 5 1972-05-01 65.0100
## 6 1972-06-01 67.6467
## Date Candy_Production
## 543 2017-03-01 105.2245
## 544 2017-04-01 107.4288
## 545 2017-05-01 101.9209
## 546 2017-06-01 104.2022
## 547 2017-07-01 102.5861
## 548 2017-08-01 114.0613
set.seed(123)
candy_sample <- candy[sample(1:nrow(candy), 274),]
sum(is.na(candy))
## [1] 0
candy_sample[[2]] <- as.numeric(candy_sample[[2]])
hist(candy_sample[[2]],
main = "Distribution of U.S. Candy Production",
xlab = "Candy Production Index",
ylab = "Frequency")
candy_sample[[1]] <- as.Date(candy_sample[[1]])
candy_sample <- candy_sample[order(candy_sample[[1]]), ]
plot(candy_sample[[1]],
candy_sample[[2]],
type = "l",
main = "U.S. Candy Production Over Time",
xlab = "Year",
ylab = "Candy Production Index")