Overview

Dataset statistics

Number of variables13
Number of observations227
Missing cells382
Missing cells (%)12.9%
Duplicate rows2
Duplicate rows (%)0.9%
Total size in memory23.2 KiB
Average record size in memory104.6 B

Variable types

Text13

Dataset

Description언론인 의식조사 관련 언론계 전반의 수수현황에 관한 자료입니다. 자세한 내용은 첨부돤 파일을 확인하시기 바랍니다. (금품 등)
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/15050486/fileData.do

Alerts

Dataset has 2 (0.9%) duplicate rowsDuplicates
중분류 has 4 (1.8%) missing valuesMissing
사례수 has 4 (1.8%) missing valuesMissing
(1) 전혀 수수되지 않는다 has 4 (1.8%) missing valuesMissing
(2) 수수되지 않는 편이다 has 4 (1.8%) missing valuesMissing
(3) 수수되는 편이다 has 4 (1.8%) missing valuesMissing
(4) 자주 수수되고 있다 has 4 (1.8%) missing valuesMissing
하위2퍼센트 (1)(2) has 4 (1.8%) missing valuesMissing
상위2퍼센트 (3)(4) has 4 (1.8%) missing valuesMissing
평균 has 4 (1.8%) missing valuesMissing
평균 (100점) has 4 (1.8%) missing valuesMissing
문 17) 평균 has 171 (75.3%) missing valuesMissing
문17) 평균 (100점) has 171 (75.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:48:35.639440
Analysis finished2023-12-12 18:48:37.236591
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류
Text

Distinct60
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:48:37.944897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length73
Mean length5.5374449
Min length2

Characters and Unicode

Total characters1257
Distinct characters110
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row전체
2nd row성별1
3rd row성별2
4th row연령1
5th row연령2
ValueCountFrequency (%)
전체 4
 
1.4%
소속부서17 4
 
1.4%
소속부서7 4
 
1.4%
소속부서8 4
 
1.4%
소속부서9 4
 
1.4%
소속부서10 4
 
1.4%
소속부서11 4
 
1.4%
소속부서12 4
 
1.4%
소속부서13 4
 
1.4%
소속부서14 4
 
1.4%
Other values (87) 250
86.2%
2023-12-13T03:48:38.568936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 116
 
9.2%
속 116
 
9.2%
1 89
 
7.1%
서 75
 
6.0%
부 74
 
5.9%
체 64
 
5.1%
63
 
5.0%
매 60
 
4.8%
2 37
 
2.9%
3 29
 
2.3%
Other values (100) 534
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 907
72.2%
Decimal Number 271
 
21.6%
Space Separator 63
 
5.0%
Other Punctuation 9
 
0.7%
Close Punctuation 5
 
0.4%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 116
 
12.8%
속 116
 
12.8%
서 75
 
8.3%
부 74
 
8.2%
체 64
 
7.1%
매 60
 
6.6%
령 28
 
3.1%
연 28
 
3.1%
경 21
 
2.3%
직 20
 
2.2%
Other values (84) 305
33.6%
Decimal Number
ValueCountFrequency (%)
1 89
32.8%
2 37
13.7%
3 29
 
10.7%
4 28
 
10.3%
5 24
 
8.9%
7 19
 
7.0%
6 16
 
5.9%
8 13
 
4.8%
9 8
 
3.0%
0 8
 
3.0%
Other Punctuation
ValueCountFrequency (%)
? 4
44.4%
. 4
44.4%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 907
72.2%
Common 350
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 116
 
12.8%
속 116
 
12.8%
서 75
 
8.3%
부 74
 
8.2%
체 64
 
7.1%
매 60
 
6.6%
령 28
 
3.1%
연 28
 
3.1%
경 21
 
2.3%
직 20
 
2.2%
Other values (84) 305
33.6%
Common
ValueCountFrequency (%)
1 89
25.4%
63
18.0%
2 37
10.6%
3 29
 
8.3%
4 28
 
8.0%
5 24
 
6.9%
7 19
 
5.4%
6 16
 
4.6%
8 13
 
3.7%
9 8
 
2.3%
Other values (6) 24
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 907
72.2%
ASCII 350
 
27.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 116
 
12.8%
속 116
 
12.8%
서 75
 
8.3%
부 74
 
8.2%
체 64
 
7.1%
매 60
 
6.6%
령 28
 
3.1%
연 28
 
3.1%
경 21
 
2.3%
직 20
 
2.2%
Other values (84) 305
33.6%
ASCII
ValueCountFrequency (%)
1 89
25.4%
63
18.0%
2 37
10.6%
3 29
 
8.3%
4 28
 
8.0%
5 24
 
6.9%
7 19
 
5.4%
6 16
 
4.6%
8 13
 
3.7%
9 8
 
2.3%
Other values (6) 24
 
6.9%

중분류
Text

MISSING 

Distinct54
Distinct (%)24.2%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:38.961716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.367713
Min length2

Characters and Unicode

Total characters1197
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체1
2nd row남자
3rd row여자
4th row20대
5th row30~34세
ValueCountFrequency (%)
인터넷언론사 8
 
3.2%
이상 8
 
3.2%
기타 8
 
3.2%
뉴스통신사 8
 
3.2%
15~19년 4
 
1.6%
10~14년 4
 
1.6%
그 4
 
1.6%
외 4
 
1.6%
지역 4
 
1.6%
전체1 4
 
1.6%
Other values (48) 191
77.3%
2023-12-13T03:48:39.571283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 80
 
6.7%
부 56
 
4.7%
사 44
 
3.7%
국 36
 
3.0%
~ 32
 
2.7%
4 32
 
2.7%
장 32
 
2.7%
대 28
 
2.3%
0 28
 
2.3%
일 28
 
2.3%
Other values (98) 801
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 885
73.9%
Decimal Number 152
 
12.7%
Other Punctuation 80
 
6.7%
Math Symbol 32
 
2.7%
Space Separator 24
 
2.0%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Uppercase Letter 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 56
 
6.3%
사 44
 
5.0%
국 36
 
4.1%
장 32
 
3.6%
대 28
 
3.2%
일 28
 
3.2%
지 24
 
2.7%
년 20
 
2.3%
스 20
 
2.3%
간 20
 
2.3%
Other values (83) 577
65.2%
Decimal Number
ValueCountFrequency (%)
4 32
21.1%
0 28
18.4%
1 24
15.8%
3 20
13.2%
5 20
13.2%
9 16
10.5%
2 8
 
5.3%
6 4
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
I 4
50.0%
T 4
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 885
73.9%
Common 304
 
25.4%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 56
 
6.3%
사 44
 
5.0%
국 36
 
4.1%
장 32
 
3.6%
대 28
 
3.2%
일 28
 
3.2%
지 24
 
2.7%
년 20
 
2.3%
스 20
 
2.3%
간 20
 
2.3%
Other values (83) 577
65.2%
Common
ValueCountFrequency (%)
/ 80
26.3%
~ 32
 
10.5%
4 32
 
10.5%
0 28
 
9.2%
1 24
 
7.9%
24
 
7.9%
3 20
 
6.6%
5 20
 
6.6%
9 16
 
5.3%
) 8
 
2.6%
Other values (3) 20
 
6.6%
Latin
ValueCountFrequency (%)
I 4
50.0%
T 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 885
73.9%
ASCII 312
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 80
25.6%
~ 32
 
10.3%
4 32
 
10.3%
0 28
 
9.0%
1 24
 
7.7%
24
 
7.7%
3 20
 
6.4%
5 20
 
6.4%
9 16
 
5.1%
) 8
 
2.6%
Other values (5) 28
 
9.0%
Hangul
ValueCountFrequency (%)
부 56
 
6.3%
사 44
 
5.0%
국 36
 
4.1%
장 32
 
3.6%
대 28
 
3.2%
일 28
 
3.2%
지 24
 
2.7%
년 20
 
2.3%
스 20
 
2.3%
간 20
 
2.3%
Other values (83) 577
65.2%

사례수
Text

MISSING 

Distinct52
Distinct (%)23.3%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:39.952325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8206278
Min length2

Characters and Unicode

Total characters629
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1956
2nd row1424
3rd row532
4th row279
5th row420
ValueCountFrequency (%)
10 8
 
3.6%
40 8
 
3.6%
390 8
 
3.6%
144 8
 
3.6%
1392 4
 
1.8%
564 4
 
1.8%
1956 4
 
1.8%
129 4
 
1.8%
125 4
 
1.8%
14 4
 
1.8%
Other values (42) 167
74.9%
2023-12-13T03:48:40.491473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 108
17.2%
4 92
14.6%
2 84
13.4%
3 76
12.1%
0 68
10.8%
9 48
7.6%
5 44
7.0%
8 44
7.0%
6 36
 
5.7%
7 20
 
3.2%
Other values (3) 9
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
98.6%
Other Letter 9
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 108
17.4%
4 92
14.8%
2 84
13.5%
3 76
12.3%
0 68
11.0%
9 48
7.7%
5 44
7.1%
8 44
7.1%
6 36
 
5.8%
7 20
 
3.2%
Other Letter
ValueCountFrequency (%)
사 3
33.3%
례 3
33.3%
수 3
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 620
98.6%
Hangul 9
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 108
17.4%
4 92
14.8%
2 84
13.5%
3 76
12.3%
0 68
11.0%
9 48
7.7%
5 44
7.1%
8 44
7.1%
6 36
 
5.8%
7 20
 
3.2%
Hangul
ValueCountFrequency (%)
사 3
33.3%
례 3
33.3%
수 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
98.6%
Hangul 9
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 108
17.4%
4 92
14.8%
2 84
13.5%
3 76
12.3%
0 68
11.0%
9 48
7.7%
5 44
7.1%
8 44
7.1%
6 36
 
5.8%
7 20
 
3.2%
Hangul
ValueCountFrequency (%)
사 3
33.3%
례 3
33.3%
수 3
33.3%

(1) 전혀 수수되지 않는다
Text

MISSING 

Distinct123
Distinct (%)55.2%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:40.914980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.4215247
Min length1

Characters and Unicode

Total characters763
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)30.0%

Sample

1st row18.5
2nd row19.5
3rd row15.8
4th row16.8
5th row17.1
ValueCountFrequency (%)
0 20
 
8.6%
20.6 5
 
2.2%
0.5 4
 
1.7%
12.5 4
 
1.7%
16.1 4
 
1.7%
1.5 4
 
1.7%
17.6 4
 
1.7%
17.1 4
 
1.7%
20.3 3
 
1.3%
① 3
 
1.3%
Other values (117) 177
76.3%
2023-12-13T03:48:41.620850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 183
24.0%
1 149
19.5%
2 79
10.4%
0 58
 
7.6%
5 50
 
6.6%
7 37
 
4.8%
4 37
 
4.8%
9 35
 
4.6%
3 34
 
4.5%
8 33
 
4.3%
Other values (14) 68
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 542
71.0%
Other Punctuation 183
 
24.0%
Other Letter 26
 
3.4%
Space Separator 9
 
1.2%
Other Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 4
15.4%
전 3
11.5%
혀 3
11.5%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
변 1
 
3.8%
하 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 149
27.5%
2 79
14.6%
0 58
 
10.7%
5 50
 
9.2%
7 37
 
6.8%
4 37
 
6.8%
9 35
 
6.5%
3 34
 
6.3%
8 33
 
6.1%
6 30
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 183
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Number
ValueCountFrequency (%)
① 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 737
96.6%
Hangul 26
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 183
24.8%
1 149
20.2%
2 79
10.7%
0 58
 
7.9%
5 50
 
6.8%
7 37
 
5.0%
4 37
 
5.0%
9 35
 
4.7%
3 34
 
4.6%
8 33
 
4.5%
Other values (3) 42
 
5.7%
Hangul
ValueCountFrequency (%)
수 4
15.4%
전 3
11.5%
혀 3
11.5%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
변 1
 
3.8%
하 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
96.2%
Hangul 26
 
3.4%
Enclosed Alphanum 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 183
24.9%
1 149
20.3%
2 79
10.8%
0 58
 
7.9%
5 50
 
6.8%
7 37
 
5.0%
4 37
 
5.0%
9 35
 
4.8%
3 34
 
4.6%
8 33
 
4.5%
Other values (2) 39
 
5.3%
Hangul
ValueCountFrequency (%)
수 4
15.4%
전 3
11.5%
혀 3
11.5%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
변 1
 
3.8%
하 1
 
3.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
100.0%

(2) 수수되지 않는 편이다
Text

MISSING 

Distinct166
Distinct (%)74.4%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:42.166838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.529148
Min length1

Characters and Unicode

Total characters787
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)55.6%

Sample

1st row59.7
2nd row60.5
3rd row57.7
4th row53.4
5th row57.9
ValueCountFrequency (%)
50 6
 
2.6%
42.6 4
 
1.7%
47 4
 
1.7%
44.5 3
 
1.3%
② 3
 
1.3%
4.9 3
 
1.3%
43.1 3
 
1.3%
4.3 3
 
1.3%
46.4 3
 
1.3%
5 3
 
1.3%
Other values (161) 197
84.9%
2023-12-13T03:48:42.956122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 181
23.0%
4 115
14.6%
5 107
13.6%
6 76
9.7%
3 55
 
7.0%
7 51
 
6.5%
1 40
 
5.1%
8 39
 
5.0%
2 37
 
4.7%
9 26
 
3.3%
Other values (16) 60
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 568
72.2%
Other Punctuation 181
 
23.0%
Other Letter 26
 
3.3%
Space Separator 9
 
1.1%
Other Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 4
15.4%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
편 2
7.7%
이 2
7.7%
별 1
 
3.8%
로 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
4 115
20.2%
5 107
18.8%
6 76
13.4%
3 55
9.7%
7 51
9.0%
1 40
 
7.0%
8 39
 
6.9%
2 37
 
6.5%
9 26
 
4.6%
0 22
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 181
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Number
ValueCountFrequency (%)
② 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 761
96.7%
Hangul 26
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 181
23.8%
4 115
15.1%
5 107
14.1%
6 76
10.0%
3 55
 
7.2%
7 51
 
6.7%
1 40
 
5.3%
8 39
 
5.1%
2 37
 
4.9%
9 26
 
3.4%
Other values (3) 34
 
4.5%
Hangul
ValueCountFrequency (%)
수 4
15.4%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
편 2
7.7%
이 2
7.7%
별 1
 
3.8%
로 1
 
3.8%
Other values (3) 3
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 758
96.3%
Hangul 26
 
3.3%
Enclosed Alphanum 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 181
23.9%
4 115
15.2%
5 107
14.1%
6 76
10.0%
3 55
 
7.3%
7 51
 
6.7%
1 40
 
5.3%
8 39
 
5.1%
2 37
 
4.9%
9 26
 
3.4%
Other values (2) 31
 
4.1%
Hangul
ValueCountFrequency (%)
수 4
15.4%
지 3
11.5%
않 3
11.5%
다 3
11.5%
되 2
7.7%
는 2
7.7%
편 2
7.7%
이 2
7.7%
별 1
 
3.8%
로 1
 
3.8%
Other values (3) 3
11.5%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
100.0%

(3) 수수되는 편이다
Text

MISSING 

Distinct155
Distinct (%)69.5%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:43.485775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length3.6188341
Min length1

Characters and Unicode

Total characters807
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)48.0%

Sample

1st row19.6
2nd row18.1
3rd row23.7
4th row25.8
5th row22.1
ValueCountFrequency (%)
12.5 5
 
2.2%
31.5 4
 
1.8%
10 4
 
1.8%
12.8 4
 
1.8%
9.1 3
 
1.3%
③ 3
 
1.3%
12 3
 
1.3%
14.4 3
 
1.3%
33.7 3
 
1.3%
20.8 3
 
1.3%
Other values (147) 193
84.6%
2023-12-13T03:48:44.180870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 187
23.2%
1 105
13.0%
2 103
12.8%
3 92
11.4%
4 63
 
7.8%
5 50
 
6.2%
7 44
 
5.5%
8 42
 
5.2%
9 38
 
4.7%
6 31
 
3.8%
Other values (11) 52
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 594
73.6%
Other Punctuation 187
 
23.2%
Other Letter 18
 
2.2%
Space Separator 5
 
0.6%
Other Number 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
17.7%
2 103
17.3%
3 92
15.5%
4 63
10.6%
5 50
8.4%
7 44
7.4%
8 42
 
7.1%
9 38
 
6.4%
6 31
 
5.2%
0 26
 
4.4%
Other Letter
ValueCountFrequency (%)
수 4
22.2%
이 3
16.7%
다 3
16.7%
되 2
11.1%
는 2
11.1%
편 2
11.1%
보 1
 
5.6%
통 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 187
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Number
ValueCountFrequency (%)
③ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 789
97.8%
Hangul 18
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 187
23.7%
1 105
13.3%
2 103
13.1%
3 92
11.7%
4 63
 
8.0%
5 50
 
6.3%
7 44
 
5.6%
8 42
 
5.3%
9 38
 
4.8%
6 31
 
3.9%
Other values (3) 34
 
4.3%
Hangul
ValueCountFrequency (%)
수 4
22.2%
이 3
16.7%
다 3
16.7%
되 2
11.1%
는 2
11.1%
편 2
11.1%
보 1
 
5.6%
통 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 786
97.4%
Hangul 18
 
2.2%
Enclosed Alphanum 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 187
23.8%
1 105
13.4%
2 103
13.1%
3 92
11.7%
4 63
 
8.0%
5 50
 
6.4%
7 44
 
5.6%
8 42
 
5.3%
9 38
 
4.8%
6 31
 
3.9%
Other values (2) 31
 
3.9%
Hangul
ValueCountFrequency (%)
수 4
22.2%
이 3
16.7%
다 3
16.7%
되 2
11.1%
는 2
11.1%
편 2
11.1%
보 1
 
5.6%
통 1
 
5.6%
Enclosed Alphanum
ValueCountFrequency (%)
③ 3
100.0%

(4) 자주 수수되고 있다
Text

MISSING 

Distinct132
Distinct (%)59.2%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:44.627116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0089686
Min length1

Characters and Unicode

Total characters671
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)36.8%

Sample

1st row2.2
2nd row2
3rd row2.8
4th row3.9
5th row2.9
ValueCountFrequency (%)
0 14
 
6.1%
2.1 5
 
2.2%
3.9 5
 
2.2%
1.8 5
 
2.2%
0.7 4
 
1.7%
2.8 4
 
1.7%
5.3 4
 
1.7%
5 4
 
1.7%
3 4
 
1.7%
5.9 3
 
1.3%
Other values (126) 179
77.5%
2023-12-13T03:48:45.285506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 173
25.8%
5 75
11.2%
1 67
 
10.0%
4 49
 
7.3%
2 46
 
6.9%
3 45
 
6.7%
9 39
 
5.8%
6 38
 
5.7%
0 36
 
5.4%
8 35
 
5.2%
Other values (17) 68
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 463
69.0%
Other Punctuation 173
 
25.8%
Other Letter 24
 
3.6%
Space Separator 8
 
1.2%
Other Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 4
16.7%
다 3
12.5%
고 2
8.3%
있 2
8.3%
자 2
8.3%
되 2
8.3%
주 2
8.3%
대 1
 
4.2%
체 1
 
4.2%
로 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
5 75
16.2%
1 67
14.5%
4 49
10.6%
2 46
9.9%
3 45
9.7%
9 39
8.4%
6 38
8.2%
0 36
7.8%
8 35
7.6%
7 33
7.1%
Other Punctuation
ValueCountFrequency (%)
. 173
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Number
ValueCountFrequency (%)
④ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 647
96.4%
Hangul 24
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 4
16.7%
다 3
12.5%
고 2
8.3%
있 2
8.3%
자 2
8.3%
되 2
8.3%
주 2
8.3%
대 1
 
4.2%
체 1
 
4.2%
로 1
 
4.2%
Other values (4) 4
16.7%
Common
ValueCountFrequency (%)
. 173
26.7%
5 75
11.6%
1 67
 
10.4%
4 49
 
7.6%
2 46
 
7.1%
3 45
 
7.0%
9 39
 
6.0%
6 38
 
5.9%
0 36
 
5.6%
8 35
 
5.4%
Other values (3) 44
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 644
96.0%
Hangul 24
 
3.6%
Enclosed Alphanum 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 173
26.9%
5 75
11.6%
1 67
 
10.4%
4 49
 
7.6%
2 46
 
7.1%
3 45
 
7.0%
9 39
 
6.1%
6 38
 
5.9%
0 36
 
5.6%
8 35
 
5.4%
Other values (2) 41
 
6.4%
Hangul
ValueCountFrequency (%)
수 4
16.7%
다 3
12.5%
고 2
8.3%
있 2
8.3%
자 2
8.3%
되 2
8.3%
주 2
8.3%
대 1
 
4.2%
체 1
 
4.2%
로 1
 
4.2%
Other values (4) 4
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
④ 3
100.0%

하위2퍼센트 (1)(2)
Text

MISSING 

Distinct182
Distinct (%)81.6%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:45.896843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length3.8206278
Min length1

Characters and Unicode

Total characters852
Distinct characters30
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)66.4%

Sample

1st row78.2
2nd row79.9
3rd row73.5
4th row70.3
5th row75
ValueCountFrequency (%)
4
 
1.7%
59 3
 
1.3%
62.5 3
 
1.3%
31.7 3
 
1.3%
42.9 3
 
1.3%
40 3
 
1.3%
51.2 3
 
1.3%
61.8 3
 
1.3%
①+② 2
 
0.9%
55.6 2
 
0.9%
Other values (176) 202
87.4%
2023-12-13T03:48:46.695722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 185
21.7%
5 87
10.2%
7 86
10.1%
6 84
9.9%
4 75
8.8%
3 62
 
7.3%
8 60
 
7.0%
2 58
 
6.8%
1 46
 
5.4%
9 44
 
5.2%
Other values (20) 65
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 627
73.6%
Other Punctuation 187
 
21.9%
Lowercase Letter 10
 
1.2%
Space Separator 8
 
0.9%
Other Letter 7
 
0.8%
Other Number 5
 
0.6%
Close Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%
Open Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 87
13.9%
7 86
13.7%
6 84
13.4%
4 75
12.0%
3 62
9.9%
8 60
9.6%
2 58
9.3%
1 46
7.3%
9 44
7.0%
0 25
 
4.0%
Other Letter
ValueCountFrequency (%)
매 1
14.3%
우 1
14.3%
줄 1
14.3%
어 1
14.3%
들 1
14.3%
었 1
14.3%
다 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 4
40.0%
t 4
40.0%
m 2
20.0%
Other Number
ValueCountFrequency (%)
① 2
40.0%
② 2
40.0%
⑤ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 185
98.9%
% 2
 
1.1%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 833
97.8%
Latin 12
 
1.4%
Hangul 7
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 185
22.2%
5 87
10.4%
7 86
10.3%
6 84
10.1%
4 75
9.0%
3 62
 
7.4%
8 60
 
7.2%
2 58
 
7.0%
1 46
 
5.5%
9 44
 
5.3%
Other values (9) 46
 
5.5%
Hangul
ValueCountFrequency (%)
매 1
14.3%
우 1
14.3%
줄 1
14.3%
어 1
14.3%
들 1
14.3%
었 1
14.3%
다 1
14.3%
Latin
ValueCountFrequency (%)
o 4
33.3%
t 4
33.3%
m 2
16.7%
B 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
98.6%
Hangul 7
 
0.8%
Enclosed Alphanum 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 185
22.0%
5 87
10.4%
7 86
10.2%
6 84
10.0%
4 75
8.9%
3 62
 
7.4%
8 60
 
7.1%
2 58
 
6.9%
1 46
 
5.5%
9 44
 
5.2%
Other values (10) 53
 
6.3%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
40.0%
② 2
40.0%
⑤ 1
20.0%
Hangul
ValueCountFrequency (%)
매 1
14.3%
우 1
14.3%
줄 1
14.3%
어 1
14.3%
들 1
14.3%
었 1
14.3%
다 1
14.3%

상위2퍼센트 (3)(4)
Text

MISSING 

Distinct172
Distinct (%)77.1%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:47.214744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length3.6233184
Min length1

Characters and Unicode

Total characters808
Distinct characters26
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)58.7%

Sample

1st row21.8
2nd row20.1
3rd row26.5
4th row29.7
5th row25
ValueCountFrequency (%)
6
 
2.6%
5.1 4
 
1.7%
41 3
 
1.3%
6.6 3
 
1.3%
5.5 3
 
1.3%
6.3 3
 
1.3%
37.5 3
 
1.3%
7.1 3
 
1.3%
0 3
 
1.3%
38.2 3
 
1.3%
Other values (165) 198
85.3%
2023-12-13T03:48:47.879961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 186
23.0%
2 87
10.8%
5 79
9.8%
3 78
9.7%
1 76
9.4%
4 72
 
8.9%
6 51
 
6.3%
8 39
 
4.8%
7 38
 
4.7%
9 34
 
4.2%
Other values (16) 68
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 575
71.2%
Other Punctuation 189
 
23.4%
Space Separator 17
 
2.1%
Lowercase Letter 9
 
1.1%
Other Number 6
 
0.7%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Math Symbol 3
 
0.4%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 87
15.1%
5 79
13.7%
3 78
13.6%
1 76
13.2%
4 72
12.5%
6 51
8.9%
8 39
6.8%
7 38
6.6%
9 34
 
5.9%
0 21
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
44.4%
t 2
22.2%
p 2
22.2%
m 1
 
11.1%
Other Number
ValueCountFrequency (%)
④ 2
33.3%
③ 2
33.3%
① 1
16.7%
② 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 186
98.4%
% 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 796
98.5%
Latin 12
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 186
23.4%
2 87
10.9%
5 79
9.9%
3 78
9.8%
1 76
9.5%
4 72
 
9.0%
6 51
 
6.4%
8 39
 
4.9%
7 38
 
4.8%
9 34
 
4.3%
Other values (10) 56
 
7.0%
Latin
ValueCountFrequency (%)
o 4
33.3%
t 2
16.7%
p 2
16.7%
T 2
16.7%
B 1
 
8.3%
m 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 802
99.3%
Enclosed Alphanum 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 186
23.2%
2 87
10.8%
5 79
9.9%
3 78
9.7%
1 76
9.5%
4 72
 
9.0%
6 51
 
6.4%
8 39
 
4.9%
7 38
 
4.7%
9 34
 
4.2%
Other values (12) 62
 
7.7%
Enclosed Alphanum
ValueCountFrequency (%)
④ 2
33.3%
③ 2
33.3%
① 1
16.7%
② 1
16.7%

평균
Text

MISSING 

Distinct108
Distinct (%)48.4%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:48.393280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length3.690583
Min length1

Characters and Unicode

Total characters823
Distinct characters23
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)22.0%

Sample

1st row2.06
2nd row2.03
3rd row2.14
4th row2.17
5th row2.11
ValueCountFrequency (%)
1.98 8
 
3.5%
2.03 7
 
3.1%
2.25 7
 
3.1%
2.3 6
 
2.7%
2.27 6
 
2.7%
2.07 6
 
2.7%
2 5
 
2.2%
2.26 5
 
2.2%
2.15 4
 
1.8%
2.06 4
 
1.8%
Other values (100) 168
74.3%
2023-12-13T03:48:49.113642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 208
25.3%
2 189
23.0%
1 93
11.3%
9 53
 
6.4%
3 46
 
5.6%
5 43
 
5.2%
4 39
 
4.7%
7 36
 
4.4%
0 34
 
4.1%
8 32
 
3.9%
Other values (13) 50
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 596
72.4%
Other Punctuation 209
 
25.4%
Space Separator 5
 
0.6%
Lowercase Letter 5
 
0.6%
Other Letter 4
 
0.5%
Uppercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Number 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 189
31.7%
1 93
15.6%
9 53
 
8.9%
3 46
 
7.7%
5 43
 
7.2%
4 39
 
6.5%
7 36
 
6.0%
0 34
 
5.7%
8 32
 
5.4%
6 31
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
d 2
40.0%
i 1
20.0%
l 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 208
99.5%
% 1
 
0.5%
Other Letter
ValueCountFrequency (%)
평 2
50.0%
균 2
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Number
ValueCountFrequency (%)
③ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 813
98.8%
Latin 6
 
0.7%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 208
25.6%
2 189
23.2%
1 93
11.4%
9 53
 
6.5%
3 46
 
5.7%
5 43
 
5.3%
4 39
 
4.8%
7 36
 
4.4%
0 34
 
4.2%
8 32
 
3.9%
Other values (6) 40
 
4.9%
Latin
ValueCountFrequency (%)
d 2
33.3%
i 1
16.7%
M 1
16.7%
l 1
16.7%
e 1
16.7%
Hangul
ValueCountFrequency (%)
평 2
50.0%
균 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 818
99.4%
Hangul 4
 
0.5%
Enclosed Alphanum 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 208
25.4%
2 189
23.1%
1 93
11.4%
9 53
 
6.5%
3 46
 
5.6%
5 43
 
5.3%
4 39
 
4.8%
7 36
 
4.4%
0 34
 
4.2%
8 32
 
3.9%
Other values (10) 45
 
5.5%
Hangul
ValueCountFrequency (%)
평 2
50.0%
균 2
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
100.0%

평균 (100점)
Text

MISSING 

Distinct164
Distinct (%)73.5%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
2023-12-13T03:48:49.711230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length3.8430493
Min length2

Characters and Unicode

Total characters857
Distinct characters24
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)53.4%

Sample

1st row35.2
2nd row34.2
3rd row37.8
4th row38.9
5th row36.9
ValueCountFrequency (%)
33.3 4
 
1.8%
35.7 4
 
1.8%
47 3
 
1.3%
80.6 3
 
1.3%
32.7 3
 
1.3%
87.5 3
 
1.3%
80 3
 
1.3%
34.3 3
 
1.3%
41.8 3
 
1.3%
45.8 3
 
1.3%
Other values (157) 196
86.0%
2023-12-13T03:48:50.563800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 191
22.3%
3 136
15.9%
4 109
12.7%
8 82
9.6%
5 66
 
7.7%
2 57
 
6.7%
1 47
 
5.5%
7 45
 
5.3%
9 39
 
4.6%
6 36
 
4.2%
Other values (14) 49
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 638
74.4%
Other Punctuation 192
 
22.4%
Space Separator 9
 
1.1%
Other Letter 6
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Lowercase Letter 2
 
0.2%
Other Number 2
 
0.2%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 136
21.3%
4 109
17.1%
8 82
12.9%
5 66
10.3%
2 57
8.9%
1 47
 
7.4%
7 45
 
7.1%
9 39
 
6.1%
6 36
 
5.6%
0 21
 
3.3%
Other Letter
ValueCountFrequency (%)
점 2
33.3%
균 2
33.3%
평 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 191
99.5%
% 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
p 1
50.0%
Other Number
ValueCountFrequency (%)
④ 1
50.0%
⑤ 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
98.9%
Hangul 6
 
0.7%
Latin 3
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 191
22.5%
3 136
16.0%
4 109
12.9%
8 82
9.7%
5 66
 
7.8%
2 57
 
6.7%
1 47
 
5.5%
7 45
 
5.3%
9 39
 
4.6%
6 36
 
4.2%
Other values (8) 40
 
4.7%
Hangul
ValueCountFrequency (%)
점 2
33.3%
균 2
33.3%
평 2
33.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
o 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
99.1%
Hangul 6
 
0.7%
Enclosed Alphanum 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 191
22.5%
3 136
16.0%
4 109
12.8%
8 82
9.7%
5 66
 
7.8%
2 57
 
6.7%
1 47
 
5.5%
7 45
 
5.3%
9 39
 
4.6%
6 36
 
4.2%
Other values (9) 41
 
4.8%
Hangul
ValueCountFrequency (%)
점 2
33.3%
균 2
33.3%
평 2
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
④ 1
50.0%
⑤ 1
50.0%

문 17) 평균
Text

MISSING 

Distinct32
Distinct (%)57.1%
Missing171
Missing (%)75.3%
Memory size1.9 KiB
2023-12-13T03:48:50.877026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Characters and Unicode

Total characters209
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)28.6%

Sample

1st row평균
2nd row4.1
3rd row4.12
4th row4.03
5th row3.97
ValueCountFrequency (%)
4.15 4
 
7.1%
4.05 4
 
7.1%
4.1 3
 
5.4%
4.2 3
 
5.4%
4.03 3
 
5.4%
4.13 3
 
5.4%
4.08 2
 
3.6%
4.06 2
 
3.6%
3.99 2
 
3.6%
4.09 2
 
3.6%
Other values (22) 28
50.0%
2023-12-13T03:48:51.406116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 54
25.8%
4 48
23.0%
3 20
 
9.6%
1 17
 
8.1%
0 14
 
6.7%
2 14
 
6.7%
9 12
 
5.7%
5 11
 
5.3%
7 6
 
2.9%
8 6
 
2.9%
Other values (3) 7
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 153
73.2%
Other Punctuation 54
 
25.8%
Other Letter 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 48
31.4%
3 20
13.1%
1 17
 
11.1%
0 14
 
9.2%
2 14
 
9.2%
9 12
 
7.8%
5 11
 
7.2%
7 6
 
3.9%
8 6
 
3.9%
6 5
 
3.3%
Other Letter
ValueCountFrequency (%)
평 1
50.0%
균 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
99.0%
Hangul 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 54
26.1%
4 48
23.2%
3 20
 
9.7%
1 17
 
8.2%
0 14
 
6.8%
2 14
 
6.8%
9 12
 
5.8%
5 11
 
5.3%
7 6
 
2.9%
8 6
 
2.9%
Hangul
ValueCountFrequency (%)
평 1
50.0%
균 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
99.0%
Hangul 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 54
26.1%
4 48
23.2%
3 20
 
9.7%
1 17
 
8.2%
0 14
 
6.8%
2 14
 
6.8%
9 12
 
5.8%
5 11
 
5.3%
7 6
 
2.9%
8 6
 
2.9%
Hangul
ValueCountFrequency (%)
평 1
50.0%
균 1
50.0%

문17) 평균 (100점)
Text

MISSING 

Distinct44
Distinct (%)78.6%
Missing171
Missing (%)75.3%
Memory size1.9 KiB
2023-12-13T03:48:51.742066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.875
Min length2

Characters and Unicode

Total characters217
Distinct characters17
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)58.9%

Sample

1st row평균 (100점)
2nd row77.5
3rd row78.1
4th row75.8
5th row74.4
ValueCountFrequency (%)
78.1 3
 
5.3%
78.6 2
 
3.5%
81.4 2
 
3.5%
78.8 2
 
3.5%
74.7 2
 
3.5%
72.6 2
 
3.5%
77.4 2
 
3.5%
76.2 2
 
3.5%
76.3 2
 
3.5%
75.8 2
 
3.5%
Other values (35) 36
63.2%
2023-12-13T03:48:52.378121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 49
22.6%
. 49
22.6%
8 26
12.0%
6 17
 
7.8%
4 13
 
6.0%
1 12
 
5.5%
5 11
 
5.1%
9 10
 
4.6%
0 8
 
3.7%
2 8
 
3.7%
Other values (7) 14
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
74.7%
Other Punctuation 49
 
22.6%
Other Letter 3
 
1.4%
Space Separator 1
 
0.5%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 49
30.2%
8 26
16.0%
6 17
 
10.5%
4 13
 
8.0%
1 12
 
7.4%
5 11
 
6.8%
9 10
 
6.2%
0 8
 
4.9%
2 8
 
4.9%
3 8
 
4.9%
Other Letter
ValueCountFrequency (%)
평 1
33.3%
균 1
33.3%
점 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 214
98.6%
Hangul 3
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 49
22.9%
. 49
22.9%
8 26
12.1%
6 17
 
7.9%
4 13
 
6.1%
1 12
 
5.6%
5 11
 
5.1%
9 10
 
4.7%
0 8
 
3.7%
2 8
 
3.7%
Other values (4) 11
 
5.1%
Hangul
ValueCountFrequency (%)
평 1
33.3%
균 1
33.3%
점 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
98.6%
Hangul 3
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 49
22.9%
. 49
22.9%
8 26
12.1%
6 17
 
7.9%
4 13
 
6.1%
1 12
 
5.6%
5 11
 
5.1%
9 10
 
4.7%
0 8
 
3.7%
2 8
 
3.7%
Other values (4) 11
 
5.1%
Hangul
ValueCountFrequency (%)
평 1
33.3%
균 1
33.3%
점 1
33.3%

Correlations

2023-12-13T03:48:52.597620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류사례수문 17) 평균문17) 평균 (100점)
대분류1.0001.0001.0001.0001.000
중분류1.0001.0001.0001.0001.000
사례수1.0001.0001.0000.9850.993
문 17) 평균1.0001.0000.9851.0000.994
문17) 평균 (100점)1.0001.0000.9930.9941.000

Missing values

2023-12-13T03:48:36.539779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:48:36.788471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T03:48:37.048652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대분류중분류사례수(1) 전혀 수수되지 않는다(2) 수수되지 않는 편이다(3) 수수되는 편이다(4) 자주 수수되고 있다하위2퍼센트 (1)(2)상위2퍼센트 (3)(4)평균평균 (100점)문 17) 평균문17) 평균 (100점)
0전체전체1195618.559.719.62.278.221.82.0635.2<NA><NA>
1성별1남자142419.560.518.1279.920.12.0334.2<NA><NA>
2성별2여자53215.857.723.72.873.526.52.1437.8<NA><NA>
3연령120대27916.853.425.83.970.329.72.1738.9<NA><NA>
4연령230~34세42017.157.922.12.975252.1136.9<NA><NA>
5연령335~39세36217.161.319.91.778.521.52.0635.4<NA><NA>
6연령440~44세27220.656.6211.877.222.82.0434.7<NA><NA>
7연령545~49세21822.562.812.81.885.314.71.9431.3<NA><NA>
8연령650대35016.964.916.91.481.718.32.0334.3<NA><NA>
9연령760대 이상5529.165.55.5094.55.51.7625.5<NA><NA>
대분류중분류사례수(1) 전혀 수수되지 않는다(2) 수수되지 않는 편이다(3) 수수되는 편이다(4) 자주 수수되고 있다하위2퍼센트 (1)(2)상위2퍼센트 (3)(4)평균평균 (100점)문 17) 평균문17) 평균 (100점)
217직위4차장/차장대우3801.13.48.949.537.14.58.986.64.1879.5
218직위5평기자10401.25.512.853.327.36.612.880.6475
219경력11~4년4641.7613.451.527.47.813.478.93.9774.2
220경력25~9년4910.64.512.853.228.95.112.882.14.0576.3
221경력310~14년3170.65.49.55331.569.584.54.0977.4
222경력415~19년2831.45.76.748.837.57.16.786.24.1578.8
223경력520년 이상40104.2745.942.94.2788.84.2781.9
224권역1서울13921.15.210.952.430.56.310.982.84.0676.5
225권역2그 외 지역5640.458.946.339.55.38.985.84.279.9
226문18. 귀하는 약칭 청탁금지법(김영란법) 시행 이후 언론계 내부에 금품수수나 접대 관행 등에 어느 정도 변화가 있었다고 생각하십니까?<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

대분류중분류사례수(1) 전혀 수수되지 않는다(2) 수수되지 않는 편이다(3) 수수되는 편이다(4) 자주 수수되고 있다하위2퍼센트 (1)(2)상위2퍼센트 (3)(4)평균평균 (100점)문 17) 평균문17) 평균 (100점)# duplicates
0대분류중분류사례수① 전혀 수수되지 않는다② 수수되지 않는 편이다③ 수수되는 편이다④ 자주 수수되고 있다Bottom2% ( ①+② )Top2% ( ③+④ )평균평균 (100점)<NA><NA>2
1소속부서18기타1005050050502.550<NA><NA>2