# Load csv file

marriage <- read.csv("/Users/michellenguyen/Downloads/marriage_age_2019.csv")
# Load dplyr
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
# Load dataset to see number of observations
marriage
##    Year  Men Women
## 1  1890 26.1  22.0
## 2  1900 25.9  21.9
## 3  1910 25.1  21.6
## 4  1920 24.6  21.2
## 5  1930 24.3  21.3
## 6  1940 24.3  21.5
## 7  1947 23.7  20.5
## 8  1948 23.3  20.4
## 9  1949 22.7  20.3
## 10 1950 22.8  20.3
## 11 1951 22.9  20.4
## 12 1952 23.0  20.2
## 13 1953 22.8  20.2
## 14 1954 23.0  20.3
## 15 1955 22.6  20.2
## 16 1956 22.5  20.1
## 17 1957 22.6  20.3
## 18 1958 22.6  20.2
## 19 1959 22.5  20.2
## 20 1960 22.8  20.3
## 21 1961 22.8  20.3
## 22 1962 22.7  20.3
## 23 1963 22.8  20.5
## 24 1964 23.1  20.5
## 25 1965 22.8  20.6
## 26 1966 22.8  20.5
## 27 1967 23.1  20.6
## 28 1968 23.1  20.8
## 29 1969 23.2  20.8
## 30 1970 23.2  20.8
## 31 1971 23.1  20.9
## 32 1972 23.3  20.9
## 33 1973 23.2  21.0
## 34 1974 23.1  21.1
## 35 1975 23.5  21.1
## 36 1976 23.8  21.3
## 37 1977 24.0  21.6
## 38 1978 24.2  21.8
## 39 1979 24.4  22.1
## 40 1980 24.7  22.0
## 41 1981 24.8  22.3
## 42 1982 25.2  22.5
## 43 1983 25.4  22.8
## 44 1984 25.4  23.0
## 45 1985 25.5  23.3
## 46 1986 25.7  23.1
## 47 1987 25.8  23.6
## 48 1988 25.9  23.6
## 49 1989 26.2  23.8
## 50 1990 26.1  23.9
## 51 1991 26.3  24.1
## 52 1992 26.5  24.4
## 53 1993 26.5  24.5
## 54 1994 26.7  24.5
## 55 1995 26.9  24.5
## 56 1996 27.1  24.8
## 57 1997 26.8  25.0
## 58 1998 26.7  25.0
## 59 1999 26.9  25.1
## 60 2000 26.8  25.1
## 61 2001 26.9  25.1
## 62 2002 26.9  25.3
## 63 2003 27.1  25.3
## 64 2004 27.4  25.3
## 65 2005 27.1  25.3
## 66 2006 27.5  25.5
## 67 2007 27.5  25.6
## 68 2008 27.6  25.9
## 69 2009 28.1  25.9
## 70 2010 28.2  26.1
## 71 2011 28.4  26.4
## 72 2012 28.6  26.6
## 73 2013 29.0  26.6
## 74 2014 29.3  27.0
## 75 2015 29.2  27.1
## 76 2016 29.5  27.4
## 77 2017 29.5  27.4
## 78 2018 29.8  27.8
## 79 2019 29.8  28.0