plot graphs in R while showing all the x axis values

Question

I'm trying to plot a graph with my data.
My code for that is

plot(birthRate$country_code, birthRate$yr2014, main = "Birth Rate by Countries 2014")

My out put is like this:

But I want to show all values in x axis.

dput(birthRate):

    structure(list(series_code = structure(c(21L, 21L, 21L, 21L, 
    21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 
    21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L), .Label = c("NY.GNP.PCAP.CD", 
    "SE.PRM.ENRR", "SE.SEC.ENRR", "SE.TER.ENRR", "SE.TER.ENRR.FE", 
    "SH.ALC.PCAP.LI", "SH.DTH.COMM.ZS", "SH.DTH.INJR.ZS", "SH.DTH.NCOM.ZS", 
    "SH.IMM.IBCG", "SH.STA.MMRT.NE", "SH.STA.TRAF.P5", "SH.XPD.PCAP", 
    "SH.XPD.PRIV.ZS", "SH.XPD.PUBL.ZS", "SH.XPD.TOTL.ZS", "SL.UEM.TOTL.FE.ZS", 
    "SL.UEM.TOTL.MA.ZS", "SL.UEM.TOTL.ZS", "SP.ADO.TFRT", "SP.DYN.CBRT.IN", 
    "SP.DYN.CDRT.IN", "SP.DYN.LE00.FE.IN", "SP.DYN.LE00.IN", 
    "SP.DYN.LE00.MA.IN", 
    "SP.DYN.TFRT.IN"), class = "factor"), country_name = structure(c(1L, 
    2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 14L, 15L, 17L, 
    19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 28L, 29L), .Label = c("Australia", 
    "Brunei Darussalam", "Cambodia", "China", "Fiji", "Indonesia", 
    "Japan", "Kiribati", "Korea, Dem. People’s Rep.", "Korea, Rep.", 
    "Lao PDR", "Malaysia", "Marshall Islands", "Micronesia, Fed. Sts.", 
    "Mongolia", "Nauru", "New Zealand", "Palau", "Papua New Guinea", 
    "Philippines", "Samoa", "Singapore", "Solomon Islands", "Thailand", 
    "Timor-Leste", "Tonga", "Tuvalu", "Vanuatu", "Vietnam"), class = "factor"), 
    country_code = structure(c(1L, 2L, 8L, 3L, 4L, 6L, 7L, 9L, 
    20L, 10L, 11L, 14L, 5L, 13L, 16L, 19L, 17L, 29L, 21L, 22L, 
    23L, 24L, 25L, 28L, 27L), .Label = c("AUS", "BRN", "CHN", 
    "FJI", "FSM", "IDN", "JPN", "KHM", "KIR", "KOR", "LAO", "MHL", 
    "MNG", "MYS", "NRU", "NZL", "PHL", "PLW", "PNG", "PRK", "SGP", 
    "SLB", "THA", "TLS", "TON", "TUV", "VNM", "VUT", "WSM"), class = "factor"), 
    yr2001 = c(12.7, 20.913, 27.327, 13.38, 24.41, 21.486, 9.3, 
    30.228, 17.414, 11.6, 30.999, 21.445, 29.21, 19.035, 14.36, 
    34.396, 29.301, 30.269, 11.8, 35.403, 14.025, 41.441, 28.365, 
    31.84, 17.13), yr2002 = c(12.8, 20.137, 26.793, 12.86, 24.103, 
    21.49, 9.3, 29.965, 16.92, 10.2, 30.287, 20.39, 28.453, 19.001, 
    13.67, 33.95, 28.892, 29.991, 11.4, 35.226, 13.653, 40.428, 
    28.468, 31.219, 16.921), yr2003 = c(12.6, 19.522, 26.44, 
    12.41, 23.804, 21.5, 9.2, 29.775, 16.431, 10.2, 29.753, 19.435, 
    27.669, 19.209, 13.94, 33.49, 28.404, 29.778, 10.5, 35.061, 
    13.32, 39.726, 28.565, 30.597, 16.839), yr2004 = c(12.3, 
    19.065, 26.24, 12.29, 23.508, 21.499, 8.6936, 29.647, 15.961, 
    9.8, 29.38, 18.62, 26.886, 19.627, 14.2, 33.03, 27.845, 29.624, 
    10.3, 34.889, 13.025, 39.368, 28.624, 29.993, 16.848), yr2005 = c(12.8, 
    18.738, 26.145, 12.4, 23.208, 21.476, 8.4133, 29.572, 15.532, 
    8.9, 29.134, 17.971, 26.139, 20.223, 13.96, 32.575, 27.238, 
    29.499, 10.2, 34.68, 12.764, 39.326, 28.611, 29.427, 16.919
    ), yr2006 = c(12.9, 18.499, 26.098, 12.09, 22.901, 21.429, 
    8.65, 29.537, 15.166, 9.2, 28.966, 17.498, 25.461, 20.959, 
    14.14, 32.121, 26.619, 29.355, 10.3, 34.409, 12.533, 39.509, 
    28.499, 28.92, 17.03), yr2007 = c(14.1, 18.292, 26.043, 12.1, 
    22.586, 21.364, 8.63, 29.528, 14.87, 10, 28.821, 17.171, 
    24.872, 21.769, 15.15, 31.659, 26.025, 29.148, 10, 34.063, 
    12.323, 39.752, 28.288, 28.475, 17.163), yr2008 = c(14, 18.07, 
    25.937, 12.14, 22.263, 21.283, 8.7, 29.526, 14.648, 9.4, 
    28.651, 16.954, 24.385, 22.576, 15.1, 31.186, 25.489, 28.845, 
    10.2, 33.637, 12.123, 39.92, 27.982, 28.091, 17.298), yr2009 = c(13.9, 
    17.809, 25.755, 12.13, 21.929, 21.177, 8.5, 29.513, 14.498, 
    9, 28.429, 16.828, 24.011, 23.311, 14.53, 30.706, 25.023, 
    28.442, 9.9, 33.132, 11.927, 39.95, 27.588, 27.766, 17.409
    ), yr2010 = c(13.7, 17.499, 25.491, 11.9, 21.583, 21.034, 
    8.5, 29.468, 14.411, 9.4, 28.142, 16.773, 23.751, 23.892, 
    14.68, 30.229, 24.634, 27.944, 9.3, 32.555, 11.725, 39.8, 
    27.112, 27.486, 17.473), yr2011 = c(13.6, 17.146, 25.164, 
    11.93, 21.221, 20.841, 8.3, 29.377, 14.374, 9.4, 27.8, 16.765, 
    23.598, 24.252, 14, 29.764, 24.315, 27.372, 9.5, 31.918, 
    11.51, 39.461, 26.57, 27.236, 17.477), yr2012 = c(13.7, 16.774, 
    24.812, 12.1, 20.846, 20.595, 8.2, 29.235, 14.363, 9.6, 27.43, 
    16.783, 23.528, 24.378, 13.87, 29.318, 24.041, 26.768, 10.1, 
    31.25, 11.281, 38.985, 25.992, 26.993, 17.424), yr2013 = c(13.3, 
    16.405, 24.462, 12.08, 20.463, 20.297, 8.2, 29.044, 14.358, 
    8.6, 27.051, 16.805, 23.511, 24.275, 13.2, 28.899, 23.79, 
    26.172, 9.3, 30.578, 11.041, 38.419, 25.409, 26.739, 17.318
    ), yr2014 = c(12.9, 16.043, 24.119, 12.4, 20.075, 19.955, 
    8, 28.8, 14.349, 8.6, 26.666, 16.811, 23.531, 23.949, 12.68, 
    28.51, 23.552, 25.608, 9.8, 29.921, 10.79, 37.783, 24.846, 
    26.466, 17.157)), .Names = c("series_code", "country_name", 
    "country_code", "yr2001", "yr2002", "yr2003", "yr2004", "yr2005", 
    "yr2006", "yr2007", "yr2008", "yr2009", "yr2010", "yr2011", "yr2012", 
    "yr2013", "yr2014"), row.names = c(30L, 31L, 32L, 33L, 34L, 35L, 
    36L, 37L, 38L, 39L, 40L, 41L, 43L, 44L, 46L, 48L, 49L, 50L, 51L, 
    52L, 53L, 54L, 55L, 57L, 58L), class = "data.frame", na.action = 
    structure(c(13L, 16L, 18L, 27L), .Names = c("42", "45", "47", "56"), class = "omit"))

Answer 1

You could try plotting the x-axis labels horizontally.

Try this out: plot(birthRate$country_code, birthRate$yr2014, main = "Birth Rate by Countries 2014", las=2)

Edit:

I was able to make this barplot using ggplot2.

Here's my code:

birthRate <- arrange(birthRate, yr2014)
p <- ggplot(birthRate, aes(y=yr2014, x=reorder(country_code, yr2014), fill=country_code)) + 
    geom_col()
p

Note: Your dput() output has 29 observations for the country_code variable, but only 25 for the yr2014 variable. I didn't know exactly where the missing data was, so I just removed the last four observations from the country_code variable to get things to line up. Your output may look slightly different based on where the NAs are...

I hope this was helpful!