##
## Adjuntando el paquete: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## # A tibble: 9 × 3
## Category number_of_courses total_enrolled_students
## <chr> <int> <int>
## 1 Marketing 1126 2949738
## 2 Finance 1124 2892437
## 3 Office Tools 1139 2882713
## 4 Business 1148 2848578
## 5 AI 1104 2809869
## 6 Design 1112 2783497
## 7 Data Science 1098 2734806
## 8 Technology 1073 2728293
## 9 Programming 1076 2676599
## # A tibble: 9 × 2
## Category prom_duration_hours
## <chr> <dbl>
## 1 Finance 56.2
## 2 Office Tools 55.8
## 3 Design 55.5
## 4 Technology 55.5
## 5 AI 55.4
## 6 Marketing 55.2
## 7 Business 55.1
## 8 Data Science 54.3
## 9 Programming 53.1