Zaktualizuj 'projekt.R'
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projekt.R
12
projekt.R
@ -158,7 +158,7 @@ server <- function(input, output, session) {
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slice_max(n=7, order_by = co2_per_gdp) %>%
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slice_max(n=7, order_by = co2_per_gdp) %>%
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ggplot(aes(x=country, y=co2_per_gdp, fill=country)) +
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ggplot(aes(x=country, y=co2_per_gdp, fill=country)) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 per GDP') +
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ylab('CO2 per GDP [kilograms per dollar]') +
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ggtitle('the biggest CO2 production per GDP') +
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ggtitle('the biggest CO2 production per GDP') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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@ -169,7 +169,7 @@ server <- function(input, output, session) {
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slice_max(n=7, order_by = co2_per_capita) %>%
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slice_max(n=7, order_by = co2_per_capita) %>%
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ggplot(aes(x=country, y=co2_per_capita, fill=country), custom) +
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ggplot(aes(x=country, y=co2_per_capita, fill=country), custom) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 per capita') +
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ylab('CO2 per capita [tonnes per person]') +
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ggtitle('the biggest CO2 production per capita') +
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ggtitle('the biggest CO2 production per capita') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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@ -180,7 +180,7 @@ server <- function(input, output, session) {
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slice_max(n=7, order_by = co2) %>%
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slice_max(n=7, order_by = co2) %>%
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ggplot(aes(x=country, y=co2, fill=country)) +
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ggplot(aes(x=country, y=co2, fill=country)) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 overall') +
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ylab('CO2 overall [million tonnes]') +
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ggtitle('the biggest CO2 production overall') +
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ggtitle('the biggest CO2 production overall') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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@ -191,7 +191,7 @@ server <- function(input, output, session) {
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slice_min(n=7, order_by = co2_per_gdp) %>%
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slice_min(n=7, order_by = co2_per_gdp) %>%
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ggplot(aes(x=country, y=co2_per_gdp, fill=country)) +
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ggplot(aes(x=country, y=co2_per_gdp, fill=country)) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 per GDP') +
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ylab('CO2 per GDP [kilograms per dollar]') +
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ggtitle('the smallest CO2 production per GDP') +
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ggtitle('the smallest CO2 production per GDP') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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@ -202,7 +202,7 @@ server <- function(input, output, session) {
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slice_min(n=7, order_by = co2_per_capita) %>%
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slice_min(n=7, order_by = co2_per_capita) %>%
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ggplot(aes(x=country, y=co2_per_capita, fill=country)) +
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ggplot(aes(x=country, y=co2_per_capita, fill=country)) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 per capita') +
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ylab('CO2 per capita [tonnes per person]') +
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ggtitle('the smallest CO2 production per capita') +
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ggtitle('the smallest CO2 production per capita') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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@ -213,7 +213,7 @@ server <- function(input, output, session) {
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slice_min(n=7, order_by = co2) %>%
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slice_min(n=7, order_by = co2) %>%
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ggplot(aes(x=country, y=co2, fill=country)) +
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ggplot(aes(x=country, y=co2, fill=country)) +
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xlab('Country') +
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xlab('Country') +
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ylab('CO2 overall') +
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ylab('CO2 overall [million tonnes]') +
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ggtitle('the smallest CO2 production overall') +
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ggtitle('the smallest CO2 production overall') +
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theme(axis.text.x = element_blank()) +
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theme(axis.text.x = element_blank()) +
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geom_bar(stat='identity')
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geom_bar(stat='identity')
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