r - Discrepancies in median values between dplyr table and ggplot2 boxplot -

this question has answer here:

• ggplot2 boxplot medians aren't plotting expected 1 answer
• ggplot2: boxplot use calculations values lying within limits of y-axis? 1 answer

i'm summarising data , different median values in table created dplyr package , boxplot (ggplot2). sample data can found here :

dplyr table

library(dplyr) library(ggplot2)  sample2 = read.csv("sample2.csv")  sample2 %>% group_by(category) %>% summarise(median_avg=median(avg_value), median_total = (median(total_value))) 

the result 307 3+ category

# tibble: 3 × 3 category median_avg median_total  <chr>      <dbl>        <dbl> 1        1     17.500        37.07 2        2     16.830       117.48 3       3+     17.375       306.95 

however, when try visualise in boxplot, different median 3+ category, below 200:

boxplot

sample2 %>%   ggplot(aes(category, total_value)) + geom_boxplot() +   scale_y_continuous(limits = c(0,500)) 

i tried using dummy data , there's no discrepancy between table , boxplot, ideas causes problems in particular dataset? help! ideas