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draw a histogram of each column seperately using ggplot2



2019 Community Moderator ElectionTidying Time Intervals for Plotting a Histogram in RHow to plot two distribution curves in a faceted way in R/ggplot2?Retrieving column names in RR recommendations while applying ggplot2 and plotly together to plot a graphFinding similarity between two histogram plotsCreate continous plot using matplotlib/seaborn with specific hueDelete rows of a column using another column statistics in RCaret + RStudio: Error “Please make sure `y` is a factor or numeric value” when trainingerror trying to build a histogram using r with the rStudio applicationplot the histogram of purchases










-1












$begingroup$


I have the following data.frame:



> str(data)
'data.frame': 2127387 obs. of 9 variables:
$ ItemID : int 214507224 214507239 214507331 214507331 214507331 214507331 214507331 214507331 214507331 214507331 ...
$
SessionID : int 4765238 1151253 3412203 765141 960657 5643776 3310138 1246822 11254413 436751 ...
$ Avg : num 0 0 1 0 0 0 1 1 1 1 ...
$
diffinscnd : num 0 0 0 0 0 ...
$ total_clicks : int 1 1 1 1 1 2 2 1 2 1 ...
$
unique_Category: int 1 1 1 1 1 2 1 1 2 1 ...
$ unique_items : int 1 1 1 1 1 2 2 1 2 1 ...
$
ICR : num 0 0 0.48 0.48 0.48 ...
$ Category : Factor w/ 38 levels "0","1","10","11",..: 1 1 34 34 34 34 34 34 34 34 ...

> dput(head(data))
structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
214507331L, 214507331L, 214507331L), SessionID = c(4765238L,
1151253L, 3412203L, 765141L, 960657L, 5643776L), Avg = c(0, 0,
1, 0, 0, 0), diffinscnd = c(0, 0, 0, 0, 0, 2602.11800003052),
total_clicks = c(1L, 1L, 1L, 1L, 1L, 2L), unique_Category = c(1L,
1L, 1L, 1L, 1L, 2L), unique_items = c(1L, 1L, 1L, 1L, 1L,
2L), ICR = c(0, 0, 0.47992700729927, 0.47992700729927, 0.47992700729927,
0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
34L, 34L), .Label = c("0", "1", "10", "11", "12", "2", "2088433845",
"2088919107", "2088942073", "2088966627", "2088995234", "2089040513",
"2089046251", "2089046255", "2089046367", "2089074648", "2089156185",
"2089221555", "2089282248", "2089282437", "2089314317", "2089318476",
"2089437536", "2089440540", "2089440550", "2089531793", "2089538467",
"2089574086", "2089615479", "3", "4", "5", "5862467", "6",
"7", "8", "9", "S"), class = "factor")), row.names = c(NA,
6L), class = "data.frame")

> dput(head(data,20))
structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
214507331L, 214507331L, 214507331L, 214507331L, 214507331L),
SessionID = c(4765238L, 1151253L, 3412203L, 765141L, 960657L,
5643776L, 3310138L, 1246822L, 11254413L, 436751L, 9551463L,
2347782L, 813858L, 7649777L, 6594807L, 3214991L, 4879403L,
3306326L, 11023918L, 5332954L), Avg = c(0, 0, 1, 0, 0, 0,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0), diffinscnd = c(0,
0, 0, 0, 0, 2602.11800003052, 0.132999897003174, 0, 2157.50600004196,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), total_clicks = c(1L, 1L,
1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L), unique_Category = c(1L, 1L, 1L, 1L, 1L, 2L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
unique_items = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), ICR = c(0, 0, 0.47992700729927,
0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L,
34L, 34L, 34L, 34L), .Label = c("0", "1", "10", "11", "12",
"2", "2088433845", "2088919107", "2088942073", "2088966627",
"2088995234", "2089040513", "2089046251", "2089046255", "2089046367",
"2089074648", "2089156185", "2089221555", "2089282248", "2089282437",
"2089314317", "2089318476", "2089437536", "2089440540", "2089440550",
"2089531793", "2089538467", "2089574086", "2089615479", "3",
"4", "5", "5862467", "6", "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
20L), class = "data.frame")


I want to plot columns diffinscnd, total_clicks, unique_Category, unique_items, ICR and wanna output like this.



enter image description here



Could someone please inform how I should proceed? Thank you for any help and suggesting.










share|improve this question











$endgroup$
















    -1












    $begingroup$


    I have the following data.frame:



    > str(data)
    'data.frame': 2127387 obs. of 9 variables:
    $ ItemID : int 214507224 214507239 214507331 214507331 214507331 214507331 214507331 214507331 214507331 214507331 ...
    $
    SessionID : int 4765238 1151253 3412203 765141 960657 5643776 3310138 1246822 11254413 436751 ...
    $ Avg : num 0 0 1 0 0 0 1 1 1 1 ...
    $
    diffinscnd : num 0 0 0 0 0 ...
    $ total_clicks : int 1 1 1 1 1 2 2 1 2 1 ...
    $
    unique_Category: int 1 1 1 1 1 2 1 1 2 1 ...
    $ unique_items : int 1 1 1 1 1 2 2 1 2 1 ...
    $
    ICR : num 0 0 0.48 0.48 0.48 ...
    $ Category : Factor w/ 38 levels "0","1","10","11",..: 1 1 34 34 34 34 34 34 34 34 ...

    > dput(head(data))
    structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
    214507331L, 214507331L, 214507331L), SessionID = c(4765238L,
    1151253L, 3412203L, 765141L, 960657L, 5643776L), Avg = c(0, 0,
    1, 0, 0, 0), diffinscnd = c(0, 0, 0, 0, 0, 2602.11800003052),
    total_clicks = c(1L, 1L, 1L, 1L, 1L, 2L), unique_Category = c(1L,
    1L, 1L, 1L, 1L, 2L), unique_items = c(1L, 1L, 1L, 1L, 1L,
    2L), ICR = c(0, 0, 0.47992700729927, 0.47992700729927, 0.47992700729927,
    0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
    34L, 34L), .Label = c("0", "1", "10", "11", "12", "2", "2088433845",
    "2088919107", "2088942073", "2088966627", "2088995234", "2089040513",
    "2089046251", "2089046255", "2089046367", "2089074648", "2089156185",
    "2089221555", "2089282248", "2089282437", "2089314317", "2089318476",
    "2089437536", "2089440540", "2089440550", "2089531793", "2089538467",
    "2089574086", "2089615479", "3", "4", "5", "5862467", "6",
    "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
    6L), class = "data.frame")

    > dput(head(data,20))
    structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
    214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
    214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
    214507331L, 214507331L, 214507331L, 214507331L, 214507331L),
    SessionID = c(4765238L, 1151253L, 3412203L, 765141L, 960657L,
    5643776L, 3310138L, 1246822L, 11254413L, 436751L, 9551463L,
    2347782L, 813858L, 7649777L, 6594807L, 3214991L, 4879403L,
    3306326L, 11023918L, 5332954L), Avg = c(0, 0, 1, 0, 0, 0,
    1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0), diffinscnd = c(0,
    0, 0, 0, 0, 2602.11800003052, 0.132999897003174, 0, 2157.50600004196,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), total_clicks = c(1L, 1L,
    1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
    1L, 1L, 1L), unique_Category = c(1L, 1L, 1L, 1L, 1L, 2L,
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
    unique_items = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), ICR = c(0, 0, 0.47992700729927,
    0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
    0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
    0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
    0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
    0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
    34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L,
    34L, 34L, 34L, 34L), .Label = c("0", "1", "10", "11", "12",
    "2", "2088433845", "2088919107", "2088942073", "2088966627",
    "2088995234", "2089040513", "2089046251", "2089046255", "2089046367",
    "2089074648", "2089156185", "2089221555", "2089282248", "2089282437",
    "2089314317", "2089318476", "2089437536", "2089440540", "2089440550",
    "2089531793", "2089538467", "2089574086", "2089615479", "3",
    "4", "5", "5862467", "6", "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
    20L), class = "data.frame")


    I want to plot columns diffinscnd, total_clicks, unique_Category, unique_items, ICR and wanna output like this.



    enter image description here



    Could someone please inform how I should proceed? Thank you for any help and suggesting.










    share|improve this question











    $endgroup$














      -1












      -1








      -1





      $begingroup$


      I have the following data.frame:



      > str(data)
      'data.frame': 2127387 obs. of 9 variables:
      $ ItemID : int 214507224 214507239 214507331 214507331 214507331 214507331 214507331 214507331 214507331 214507331 ...
      $
      SessionID : int 4765238 1151253 3412203 765141 960657 5643776 3310138 1246822 11254413 436751 ...
      $ Avg : num 0 0 1 0 0 0 1 1 1 1 ...
      $
      diffinscnd : num 0 0 0 0 0 ...
      $ total_clicks : int 1 1 1 1 1 2 2 1 2 1 ...
      $
      unique_Category: int 1 1 1 1 1 2 1 1 2 1 ...
      $ unique_items : int 1 1 1 1 1 2 2 1 2 1 ...
      $
      ICR : num 0 0 0.48 0.48 0.48 ...
      $ Category : Factor w/ 38 levels "0","1","10","11",..: 1 1 34 34 34 34 34 34 34 34 ...

      > dput(head(data))
      structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
      214507331L, 214507331L, 214507331L), SessionID = c(4765238L,
      1151253L, 3412203L, 765141L, 960657L, 5643776L), Avg = c(0, 0,
      1, 0, 0, 0), diffinscnd = c(0, 0, 0, 0, 0, 2602.11800003052),
      total_clicks = c(1L, 1L, 1L, 1L, 1L, 2L), unique_Category = c(1L,
      1L, 1L, 1L, 1L, 2L), unique_items = c(1L, 1L, 1L, 1L, 1L,
      2L), ICR = c(0, 0, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
      34L, 34L), .Label = c("0", "1", "10", "11", "12", "2", "2088433845",
      "2088919107", "2088942073", "2088966627", "2088995234", "2089040513",
      "2089046251", "2089046255", "2089046367", "2089074648", "2089156185",
      "2089221555", "2089282248", "2089282437", "2089314317", "2089318476",
      "2089437536", "2089440540", "2089440550", "2089531793", "2089538467",
      "2089574086", "2089615479", "3", "4", "5", "5862467", "6",
      "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
      6L), class = "data.frame")

      > dput(head(data,20))
      structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L),
      SessionID = c(4765238L, 1151253L, 3412203L, 765141L, 960657L,
      5643776L, 3310138L, 1246822L, 11254413L, 436751L, 9551463L,
      2347782L, 813858L, 7649777L, 6594807L, 3214991L, 4879403L,
      3306326L, 11023918L, 5332954L), Avg = c(0, 0, 1, 0, 0, 0,
      1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0), diffinscnd = c(0,
      0, 0, 0, 0, 2602.11800003052, 0.132999897003174, 0, 2157.50600004196,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), total_clicks = c(1L, 1L,
      1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
      1L, 1L, 1L), unique_Category = c(1L, 1L, 1L, 1L, 1L, 2L,
      1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
      unique_items = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), ICR = c(0, 0, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
      34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L,
      34L, 34L, 34L, 34L), .Label = c("0", "1", "10", "11", "12",
      "2", "2088433845", "2088919107", "2088942073", "2088966627",
      "2088995234", "2089040513", "2089046251", "2089046255", "2089046367",
      "2089074648", "2089156185", "2089221555", "2089282248", "2089282437",
      "2089314317", "2089318476", "2089437536", "2089440540", "2089440550",
      "2089531793", "2089538467", "2089574086", "2089615479", "3",
      "4", "5", "5862467", "6", "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
      20L), class = "data.frame")


      I want to plot columns diffinscnd, total_clicks, unique_Category, unique_items, ICR and wanna output like this.



      enter image description here



      Could someone please inform how I should proceed? Thank you for any help and suggesting.










      share|improve this question











      $endgroup$




      I have the following data.frame:



      > str(data)
      'data.frame': 2127387 obs. of 9 variables:
      $ ItemID : int 214507224 214507239 214507331 214507331 214507331 214507331 214507331 214507331 214507331 214507331 ...
      $
      SessionID : int 4765238 1151253 3412203 765141 960657 5643776 3310138 1246822 11254413 436751 ...
      $ Avg : num 0 0 1 0 0 0 1 1 1 1 ...
      $
      diffinscnd : num 0 0 0 0 0 ...
      $ total_clicks : int 1 1 1 1 1 2 2 1 2 1 ...
      $
      unique_Category: int 1 1 1 1 1 2 1 1 2 1 ...
      $ unique_items : int 1 1 1 1 1 2 2 1 2 1 ...
      $
      ICR : num 0 0 0.48 0.48 0.48 ...
      $ Category : Factor w/ 38 levels "0","1","10","11",..: 1 1 34 34 34 34 34 34 34 34 ...

      > dput(head(data))
      structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
      214507331L, 214507331L, 214507331L), SessionID = c(4765238L,
      1151253L, 3412203L, 765141L, 960657L, 5643776L), Avg = c(0, 0,
      1, 0, 0, 0), diffinscnd = c(0, 0, 0, 0, 0, 2602.11800003052),
      total_clicks = c(1L, 1L, 1L, 1L, 1L, 2L), unique_Category = c(1L,
      1L, 1L, 1L, 1L, 2L), unique_items = c(1L, 1L, 1L, 1L, 1L,
      2L), ICR = c(0, 0, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
      34L, 34L), .Label = c("0", "1", "10", "11", "12", "2", "2088433845",
      "2088919107", "2088942073", "2088966627", "2088995234", "2089040513",
      "2089046251", "2089046255", "2089046367", "2089074648", "2089156185",
      "2089221555", "2089282248", "2089282437", "2089314317", "2089318476",
      "2089437536", "2089440540", "2089440550", "2089531793", "2089538467",
      "2089574086", "2089615479", "3", "4", "5", "5862467", "6",
      "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
      6L), class = "data.frame")

      > dput(head(data,20))
      structure(list(ItemID = c(214507224L, 214507239L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L, 214507331L,
      214507331L, 214507331L, 214507331L, 214507331L, 214507331L),
      SessionID = c(4765238L, 1151253L, 3412203L, 765141L, 960657L,
      5643776L, 3310138L, 1246822L, 11254413L, 436751L, 9551463L,
      2347782L, 813858L, 7649777L, 6594807L, 3214991L, 4879403L,
      3306326L, 11023918L, 5332954L), Avg = c(0, 0, 1, 0, 0, 0,
      1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0), diffinscnd = c(0,
      0, 0, 0, 0, 2602.11800003052, 0.132999897003174, 0, 2157.50600004196,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), total_clicks = c(1L, 1L,
      1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
      1L, 1L, 1L), unique_Category = c(1L, 1L, 1L, 1L, 1L, 2L,
      1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
      unique_items = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,
      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), ICR = c(0, 0, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927, 0.47992700729927, 0.47992700729927, 0.47992700729927,
      0.47992700729927), Category = structure(c(1L, 1L, 34L, 34L,
      34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L,
      34L, 34L, 34L, 34L), .Label = c("0", "1", "10", "11", "12",
      "2", "2088433845", "2088919107", "2088942073", "2088966627",
      "2088995234", "2089040513", "2089046251", "2089046255", "2089046367",
      "2089074648", "2089156185", "2089221555", "2089282248", "2089282437",
      "2089314317", "2089318476", "2089437536", "2089440540", "2089440550",
      "2089531793", "2089538467", "2089574086", "2089615479", "3",
      "4", "5", "5862467", "6", "7", "8", "9", "S"), class = "factor")), row.names = c(NA,
      20L), class = "data.frame")


      I want to plot columns diffinscnd, total_clicks, unique_Category, unique_items, ICR and wanna output like this.



      enter image description here



      Could someone please inform how I should proceed? Thank you for any help and suggesting.







      r plotting histogram






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      edited Jan 16 at 18:14









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