draw a histogram of each column seperately using ggplot2
$begingroup$
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.
Could someone please inform how I should proceed? Thank you for any help and suggesting.
r plotting histogram
$endgroup$
add a comment |
$begingroup$
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.
Could someone please inform how I should proceed? Thank you for any help and suggesting.
r plotting histogram
$endgroup$
add a comment |
$begingroup$
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.
Could someone please inform how I should proceed? Thank you for any help and suggesting.
r plotting histogram
$endgroup$
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.
Could someone please inform how I should proceed? Thank you for any help and suggesting.
r plotting histogram
r plotting histogram
edited Jan 16 at 18:14
knb
432313
432313
asked Jan 8 at 6:31
maira khanmaira khan
616
616
add a comment |
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Can you stop spying my mobile & account....
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Can you stop spying my mobile & account....
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Can you stop spying my mobile & account....
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answered 47 mins ago
Tahmour ShahTahmour Shah
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