designing graphics with new data created

Question

 df <- read.csv ('https://raw.githubusercontent.com/ulklc/covid19- 
 timeseries/master/countryReport/raw/rawReport.csv',
            stringsAsFactors = FALSE)
 df6 <- aggregate(recovered ~ region, subset(df), sum)

I calculated the number of regions recovered.

How do I create a line chart of this data.

What exactly do you want as output? Some kind of barplot(df6$recovered, names.arg=df6$region)? — Martin Gal
– Martin Gal, Commented May 23, 2020 at 22:28

Edward · Accepted Answer · 2020-05-24 02:03:52Z

1

If you want a line plot, you should probably keep the day variable.

df$day <- as.Date(df$day)
df6 <- aggregate(recovered ~ day+region, data=df, FUN=sum)

library(ggplot2)
ggplot(df6, aes(day, recovered, col=region)) +
  geom_line()

answered May 24, 2020 at 2:03

Edward

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Alexis · Accepted Answer · 2020-05-24 01:53:04Z

0

Data:

df <- read.csv('https://raw.githubusercontent.com/ulklc/covid19-timeseries/master/countryReport/raw/rawReport.csv', stringsAsFactors = FALSE)
df6 <- aggregate(recovered ~ region, subset(df), sum)

Plot in base R:

barplot(df6$recovered, names.arg=df6$region)

Plot using tidyverse:

library(tidyverse)
df6 %>% ggplot(aes(region, recovered)) + geom_col()

answered May 24, 2020 at 1:53

Alexis

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