Plot() function in R disorganized categorical x-values from .csv -


i trying create barplot of household income, x-values in wrong order.

here's categories household income got work's api: "0-15k", "15k-25k", "25k-35k", "35k-50k", "50k-75k", "75k-100k", "100k-125k", "125k-150k", "150k-175k", "175k-200k", "200k-250k", "250k+". took out names of email privacy , used first 25 rows only.

my script:

#load data store2 <- read.csv("/users/documents/work/data/client2.csv",                     na.strings = "", head = true) #first 25 rows                                email    age gender    householdincome     maritalstatus 1                            @aol.com  <na>   male            <na>          <na> 2                          @yahoo.com 45-54 female            <na>          <na> 3                      @stratatec.com  <na>   <na>            <na>          <na> 4                          @gmail.com  <na>   <na>            <na>          <na> 5                         5@yahoo.com 45-54 female        75k-100k       married 6                            @aol.com 25-34   male        75k-100k       married 7                          @yahoo.com 35-44 female       125k-150k       married 8                     d@sbcglobal.net 55-64   male        75k-100k       married 9                          @yahoo.com   65+ female         25k-35k       married 10                            @me.com  <na> female            <na>          <na> 11                     @sunupcorp.com  <na> female            <na>          <na> 12                         @yahoo.com 45-54   male        75k-100k       married 13                           @att.net  <na>   <na>            <na>          <na> 14                       @verizon.net  <na>   male            <na>          <na> 15                         @yahoo.com 45-54   male         50k-75k          <na> 16                         @gmail.com 45-54   male         50k-75k          <na> 17                    @roadrunner.com 45-54 female         15k-25k        single 18                           @aol.com 35-44   male         50k-75k        single 19                         @yahoo.com 45-54   male       125k-150k        single 20                           @aol.com  <na>   <na>            <na>          <na> 21                         @gmail.com 25-34   male            <na>          <na> 22                         @yahoo.com 25-34   male         50k-75k        single 23                         @gmail.com 55-64   male       150k-175k       married 24                   @trellnjoyce.com  <na> female         35k-50k       married 25                           @aol.com   65+   male         50k-75k       married

edit: made changes plot, x-axis label in way. 

#plot of household income  res <- ordered(store2$householdincome, levels=c("0-15k", "15k-25k", "25k-35k",                                                  "35k-50k", "50k-75k", "75k-100k",                                                  "100k-125k", "125k-150k", "150k-175k",                                                  "175k-200k", "200k-250k", "250k+")) #set dimensions par(mar=c(8,4,4,3)) #create plot plot(res, main = "distribution of household income", xlab = "",       ylab = "density", las=2, ylim = c(0,2000)) mtext(text="householdincome", side=1, line=6)

enter image description here

make sure order levels of householdincome factor, e.g., so:

    res <- ordered(store2$householdincome, levels=c("0-15k", "15k-25k", "25k-35k", "35k-50k", "50k-75k", "75k-100k", "100k-125k", "125k-150k", "150k-175k", "175k-200k", "200k-250k", "250k+"))  par(mar=c(10,3,3,3))     plot(res, main = "distribution of household income",           xlab = "", ylab = "density", las=2)     mtext(text="householdincome", side=1, line=3)

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