Created
January 1, 2022 12:02
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Daily new COVID-19 cases in Ghana
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# Plotting COVID19 daily new cases in the Ghana | |
# Using the following libraries: | |
# coronavirus for data | |
# plotly for dataviz | |
# dplyr for data manipulation | |
library(coronavirus) | |
library(plotly) | |
library(dplyr) | |
df <- refresh_coronavirus_jhu() | |
head(df) | |
max(df$date) | |
# Filter the data for Ghana confirmed cases | |
df_ghana <- df %>% filter(location == "Ghana", | |
data_type == "cases_new") %>% | |
select(date, cases = value) %>% | |
arrange(date) | |
# Creating lags for moving average | |
d <- lapply(0:6, function(i){ | |
d <- df_ghana %>% select(date, cases) %>% | |
mutate(cases_lag = lag(cases, n = i), | |
lag = i) | |
return(d) | |
}) %>% | |
dplyr::bind_rows() %>% | |
dplyr::group_by(date) %>% | |
dplyr::summarise(cases = mean(cases), | |
cases_ma = mean(cases_lag, na.rm = TRUE)) | |
head(d) | |
# Plot setting | |
mv_color <- "red" | |
bg_color <- "#fdfffc" | |
# Plotting the cases | |
plot_ly(data = d, | |
x = ~ date, | |
y = ~ cases, | |
type = "scatter", | |
mode = "markers", | |
name = "Daily New Cases") %>% | |
add_lines(x = ~ date, y = ~ cases_ma, | |
line = list(color = mv_color, width = 3), | |
name = "7 Days Moving Average") %>% | |
layout(title = "Ghana Daily New COVID-19 Cases", | |
yaxis = list(title = "Cases", | |
showgrid = TRUE), | |
xaxis = list(title = "Source: Johns Hopkins University Center for Systems Science and Engineering", | |
showgrid = FALSE), | |
legend = list(x = 0.1, y = 0.9), | |
paper_bgcolor= bg_color, | |
plot_bgcolor= bg_color, | |
margin = list(b = 65, t = 45, r = 40, l = 40)) | |
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