Overview

Dataset statistics

Number of variables11
Number of observations3332
Missing cells66
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory296.2 KiB
Average record size in memory91.0 B

Variable types

Text5
Categorical4
Numeric2

Dataset

Description협동조합 경영공시 관련 정보를 제공합니다. 완료된 회계연도 경영공시 관련 정보를 제공합니다. 협동조합명, 공시상태, 기본주소, 상세주소, 연락처(사무실), 조합원 수 직원_비조합원수, 자산, 조합원 출자금, 지역, 소관부처 제공
URLhttps://www.data.go.kr/data/15047975/fileData.do

Alerts

공시년도 has constant value ""Constant
공시상태 is highly imbalanced (95.4%)Imbalance
직원_비조합원수 has 926 (27.8%) zerosZeros

Reproduction

Analysis started2023-12-12 23:14:23.341710
Analysis finished2023-12-12 23:14:25.853875
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

협동조합명
Text

Distinct3287
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-13T08:14:26.054039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length13.253601
Min length6

Characters and Unicode

Total characters44161
Distinct characters720
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3244 ?
Unique (%)97.4%

Sample

1st row고용지원사회적협동조합
2nd row새벽별 사회적협동조합
3rd row강릉협동사회경제네트워크 사회적협동조합
4th row사회적협동조합 오산돌봄
5th row우리집사회적협동조합
ValueCountFrequency (%)
사회적협동조합 2438
38.7%
마을관리 83
 
1.3%
협동조합 31
 
0.5%
교육공동체 10
 
0.2%
사회적 7
 
0.1%
행복한 7
 
0.1%
돌봄 7
 
0.1%
마을교육공동체 7
 
0.1%
꿈꾸는 6
 
0.1%
동행 6
 
0.1%
Other values (3483) 3700
58.7%
2023-12-13T08:14:26.465913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3654
 
8.3%
사 3454
 
7.8%
합 3392
 
7.7%
협 3366
 
7.6%
조 3353
 
7.6%
회 3325
 
7.5%
적 3253
 
7.4%
3005
 
6.8%
리 393
 
0.9%
마 350
 
0.8%
Other values (710) 16616
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40707
92.2%
Space Separator 3005
 
6.8%
Uppercase Letter 163
 
0.4%
Lowercase Letter 107
 
0.2%
Decimal Number 71
 
0.2%
Close Punctuation 47
 
0.1%
Open Punctuation 47
 
0.1%
Other Punctuation 9
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3654
 
9.0%
사 3454
 
8.5%
합 3392
 
8.3%
협 3366
 
8.3%
조 3353
 
8.2%
회 3325
 
8.2%
적 3253
 
8.0%
리 393
 
1.0%
마 350
 
0.9%
지 333
 
0.8%
Other values (651) 15834
38.9%
Uppercase Letter
ValueCountFrequency (%)
C 22
13.5%
S 19
11.7%
A 15
 
9.2%
O 13
 
8.0%
E 11
 
6.7%
M 10
 
6.1%
H 10
 
6.1%
F 9
 
5.5%
T 8
 
4.9%
N 6
 
3.7%
Other values (12) 40
24.5%
Lowercase Letter
ValueCountFrequency (%)
o 16
15.0%
e 15
14.0%
a 11
10.3%
i 9
 
8.4%
r 7
 
6.5%
p 7
 
6.5%
s 6
 
5.6%
c 4
 
3.7%
l 4
 
3.7%
n 4
 
3.7%
Other values (9) 24
22.4%
Decimal Number
ValueCountFrequency (%)
1 14
19.7%
0 12
16.9%
3 9
12.7%
2 9
12.7%
5 7
9.9%
7 6
8.5%
6 5
 
7.0%
4 4
 
5.6%
9 4
 
5.6%
8 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
. 3
33.3%
* 1
 
11.1%
' 1
 
11.1%
Space Separator
ValueCountFrequency (%)
3005
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40700
92.2%
Common 3184
 
7.2%
Latin 270
 
0.6%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3654
 
9.0%
사 3454
 
8.5%
합 3392
 
8.3%
협 3366
 
8.3%
조 3353
 
8.2%
회 3325
 
8.2%
적 3253
 
8.0%
리 393
 
1.0%
마 350
 
0.9%
지 333
 
0.8%
Other values (645) 15827
38.9%
Latin
ValueCountFrequency (%)
C 22
 
8.1%
S 19
 
7.0%
o 16
 
5.9%
A 15
 
5.6%
e 15
 
5.6%
O 13
 
4.8%
a 11
 
4.1%
E 11
 
4.1%
M 10
 
3.7%
H 10
 
3.7%
Other values (31) 128
47.4%
Common
ValueCountFrequency (%)
3005
94.4%
) 47
 
1.5%
( 47
 
1.5%
1 14
 
0.4%
0 12
 
0.4%
3 9
 
0.3%
2 9
 
0.3%
5 7
 
0.2%
7 6
 
0.2%
- 5
 
0.2%
Other values (8) 23
 
0.7%
Han
ValueCountFrequency (%)
舊 2
28.6%
石 1
14.3%
路 1
14.3%
高 1
14.3%
家 1
14.3%
通 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40700
92.2%
ASCII 3454
 
7.8%
CJK 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3654
 
9.0%
사 3454
 
8.5%
합 3392
 
8.3%
협 3366
 
8.3%
조 3353
 
8.2%
회 3325
 
8.2%
적 3253
 
8.0%
리 393
 
1.0%
마 350
 
0.9%
지 333
 
0.8%
Other values (645) 15827
38.9%
ASCII
ValueCountFrequency (%)
3005
87.0%
) 47
 
1.4%
( 47
 
1.4%
C 22
 
0.6%
S 19
 
0.6%
o 16
 
0.5%
A 15
 
0.4%
e 15
 
0.4%
1 14
 
0.4%
O 13
 
0.4%
Other values (49) 241
 
7.0%
CJK
ValueCountFrequency (%)
舊 2
28.6%
石 1
14.3%
路 1
14.3%
高 1
14.3%
家 1
14.3%
通 1
14.3%

공시년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2021
3332 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 3332
100.0%

Length

2023-12-13T08:14:26.631169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:26.768249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 3332
100.0%

공시상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
완료
3306 
임시저장
 
13
<NA>
 
13

Length

Max length4
Median length2
Mean length2.0156062
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완료
2nd row완료
3rd row완료
4th row완료
5th row완료

Common Values

ValueCountFrequency (%)
완료 3306
99.2%
임시저장 13
 
0.4%
<NA> 13
 
0.4%

Length

2023-12-13T08:14:26.898132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:27.041649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 3306
99.2%
임시저장 13
 
0.4%
na 13
 
0.4%

기본주소
Text

Distinct3216
Distinct (%)96.6%
Missing4
Missing (%)0.1%
Memory size26.2 KiB
2023-12-13T08:14:27.420956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length22.167067
Min length10

Characters and Unicode

Total characters73772
Distinct characters529
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

Unique3137 ?
Unique (%)94.3%

Sample

1st row울산광역시 울주군 범서읍 굴화1길 56
2nd row서울특별시 관악구 봉천로 335(봉천동)
3rd row강원도 강릉시 성덕포남로188번길 22(포남동)
4th row경기도 오산시 대호로117번길 39(궐동)
5th row서울특별시 서대문구 증가로6길 55(홍은동)
ValueCountFrequency (%)
서울특별시 499
 
3.1%
경기도 472
 
2.9%
경기 281
 
1.7%
서울 194
 
1.2%
경상남도 144
 
0.9%
강원도 120
 
0.7%
경상북도 120
 
0.7%
전라북도 113
 
0.7%
서구 103
 
0.6%
전라남도 100
 
0.6%
Other values (5735) 14067
86.8%
2023-12-13T08:14:27.991754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12885
 
17.5%
로 2767
 
3.8%
시 2641
 
3.6%
1 2457
 
3.3%
동 2267
 
3.1%
구 2092
 
2.8%
길 1718
 
2.3%
( 1673
 
2.3%
) 1673
 
2.3%
2 1616
 
2.2%
Other values (519) 41983
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45158
61.2%
Space Separator 12885
 
17.5%
Decimal Number 11404
 
15.5%
Open Punctuation 1673
 
2.3%
Close Punctuation 1673
 
2.3%
Dash Punctuation 755
 
1.0%
Other Punctuation 199
 
0.3%
Uppercase Letter 24
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2767
 
6.1%
시 2641
 
5.8%
동 2267
 
5.0%
구 2092
 
4.6%
길 1718
 
3.8%
도 1459
 
3.2%
경 1294
 
2.9%
서 1172
 
2.6%
산 986
 
2.2%
남 970
 
2.1%
Other values (488) 27792
61.5%
Uppercase Letter
ValueCountFrequency (%)
L 6
25.0%
H 5
20.8%
I 2
 
8.3%
K 2
 
8.3%
A 1
 
4.2%
R 1
 
4.2%
P 1
 
4.2%
J 1
 
4.2%
D 1
 
4.2%
W 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 2457
21.5%
2 1616
14.2%
3 1325
11.6%
4 1030
9.0%
5 1012
8.9%
6 918
 
8.0%
7 872
 
7.6%
8 743
 
6.5%
9 721
 
6.3%
0 710
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 190
95.5%
. 7
 
3.5%
· 2
 
1.0%
Space Separator
ValueCountFrequency (%)
12885
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1673
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 755
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45158
61.2%
Common 28589
38.8%
Latin 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2767
 
6.1%
시 2641
 
5.8%
동 2267
 
5.0%
구 2092
 
4.6%
길 1718
 
3.8%
도 1459
 
3.2%
경 1294
 
2.9%
서 1172
 
2.6%
산 986
 
2.2%
남 970
 
2.1%
Other values (488) 27792
61.5%
Common
ValueCountFrequency (%)
12885
45.1%
1 2457
 
8.6%
( 1673
 
5.9%
) 1673
 
5.9%
2 1616
 
5.7%
3 1325
 
4.6%
4 1030
 
3.6%
5 1012
 
3.5%
6 918
 
3.2%
7 872
 
3.1%
Other values (7) 3128
 
10.9%
Latin
ValueCountFrequency (%)
L 6
24.0%
H 5
20.0%
I 2
 
8.0%
K 2
 
8.0%
e 1
 
4.0%
A 1
 
4.0%
R 1
 
4.0%
P 1
 
4.0%
J 1
 
4.0%
D 1
 
4.0%
Other values (4) 4
16.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45158
61.2%
ASCII 28612
38.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12885
45.0%
1 2457
 
8.6%
( 1673
 
5.8%
) 1673
 
5.8%
2 1616
 
5.6%
3 1325
 
4.6%
4 1030
 
3.6%
5 1012
 
3.5%
6 918
 
3.2%
7 872
 
3.0%
Other values (20) 3151
 
11.0%
Hangul
ValueCountFrequency (%)
로 2767
 
6.1%
시 2641
 
5.8%
동 2267
 
5.0%
구 2092
 
4.6%
길 1718
 
3.8%
도 1459
 
3.2%
경 1294
 
2.9%
서 1172
 
2.6%
산 986
 
2.2%
남 970
 
2.1%
Other values (488) 27792
61.5%
None
ValueCountFrequency (%)
· 2
100.0%

상세주소
Text

Distinct2130
Distinct (%)64.0%
Missing5
Missing (%)0.2%
Memory size26.2 KiB
2023-12-13T08:14:28.349970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length7.5849113
Min length1

Characters and Unicode

Total characters25235
Distinct characters631
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2040 ?
Unique (%)61.3%

Sample

1st row202호
2nd row3층 301호
3rd row4층
4th row7층 오산돌봄사회적협동조합
5th row1층
ValueCountFrequency (%)
2층 502
 
9.6%
1층 472
 
9.0%
3층 249
 
4.7%
사회적협동조합 130
 
2.5%
4층 110
 
2.1%
201호 56
 
1.1%
48
 
0.9%
5층 48
 
0.9%
101호 48
 
0.9%
202호 40
 
0.8%
Other values (2581) 3545
67.5%
2023-12-13T08:14:28.824890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1942
 
7.7%
1 1634
 
6.5%
층 1634
 
6.5%
2 1211
 
4.8%
0 1135
 
4.5%
동 1040
 
4.1%
호 1037
 
4.1%
3 734
 
2.9%
사 463
 
1.8%
회 420
 
1.7%
Other values (621) 13985
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15950
63.2%
Decimal Number 5973
 
23.7%
Space Separator 1942
 
7.7%
Open Punctuation 370
 
1.5%
Close Punctuation 369
 
1.5%
Other Punctuation 249
 
1.0%
Uppercase Letter 183
 
0.7%
Dash Punctuation 158
 
0.6%
Lowercase Letter 39
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1634
 
10.2%
동 1040
 
6.5%
호 1037
 
6.5%
사 463
 
2.9%
회 420
 
2.6%
적 354
 
2.2%
협 346
 
2.2%
합 345
 
2.2%
조 335
 
2.1%
지 290
 
1.8%
Other values (559) 9686
60.7%
Uppercase Letter
ValueCountFrequency (%)
B 75
41.0%
A 22
 
12.0%
C 14
 
7.7%
F 13
 
7.1%
T 8
 
4.4%
K 6
 
3.3%
H 6
 
3.3%
M 6
 
3.3%
Y 5
 
2.7%
D 5
 
2.7%
Other values (9) 23
 
12.6%
Lowercase Letter
ValueCountFrequency (%)
c 7
17.9%
b 6
15.4%
a 5
12.8%
f 4
10.3%
e 4
10.3%
y 3
7.7%
m 2
 
5.1%
v 1
 
2.6%
i 1
 
2.6%
p 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
1 1634
27.4%
2 1211
20.3%
0 1135
19.0%
3 734
12.3%
4 396
 
6.6%
5 298
 
5.0%
6 196
 
3.3%
7 145
 
2.4%
8 124
 
2.1%
9 97
 
1.6%
Other values (3) 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 182
73.1%
. 53
 
21.3%
/ 5
 
2.0%
: 3
 
1.2%
@ 3
 
1.2%
' 2
 
0.8%
& 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 369
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 368
99.7%
] 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 157
99.4%
－ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1942
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15947
63.2%
Common 9063
35.9%
Latin 222
 
0.9%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1634
 
10.2%
동 1040
 
6.5%
호 1037
 
6.5%
사 463
 
2.9%
회 420
 
2.6%
적 354
 
2.2%
협 346
 
2.2%
합 345
 
2.2%
조 335
 
2.1%
지 290
 
1.8%
Other values (556) 9683
60.7%
Latin
ValueCountFrequency (%)
B 75
33.8%
A 22
 
9.9%
C 14
 
6.3%
F 13
 
5.9%
T 8
 
3.6%
c 7
 
3.2%
K 6
 
2.7%
H 6
 
2.7%
b 6
 
2.7%
M 6
 
2.7%
Other values (24) 59
26.6%
Common
ValueCountFrequency (%)
1942
21.4%
1 1634
18.0%
2 1211
13.4%
0 1135
12.5%
3 734
 
8.1%
4 396
 
4.4%
( 369
 
4.1%
) 368
 
4.1%
5 298
 
3.3%
6 196
 
2.2%
Other values (18) 780
8.6%
Han
ValueCountFrequency (%)
內 1
33.3%
高 1
33.3%
來 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15947
63.2%
ASCII 9281
36.8%
None 4
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1942
20.9%
1 1634
17.6%
2 1211
13.0%
0 1135
12.2%
3 734
 
7.9%
4 396
 
4.3%
( 369
 
4.0%
) 368
 
4.0%
5 298
 
3.2%
6 196
 
2.1%
Other values (48) 998
10.8%
Hangul
ValueCountFrequency (%)
층 1634
 
10.2%
동 1040
 
6.5%
호 1037
 
6.5%
사 463
 
2.9%
회 420
 
2.6%
적 354
 
2.2%
협 346
 
2.2%
합 345
 
2.2%
조 335
 
2.1%
지 290
 
1.8%
Other values (556) 9683
60.7%
CJK
ValueCountFrequency (%)
內 1
33.3%
高 1
33.3%
來 1
33.3%
None
ValueCountFrequency (%)
６ 1
25.0%
５ 1
25.0%
－ 1
25.0%
２ 1
25.0%

조합원수
Real number (ℝ)

Distinct309
Distinct (%)9.3%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean73.466165
Minimum0
Maximum14125
Zeros19
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size29.4 KiB
2023-12-13T08:14:28.979060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median9
Q322
95-th percentile219.8
Maximum14125
Range14125
Interquartile range (IQR)16

Descriptive statistics

Standard deviation427.35749
Coefficient of variation (CV)5.8170654
Kurtosis433.18239
Mean73.466165
Median Absolute Deviation (MAD)4
Skewness17.252595
Sum244275
Variance182634.42
MonotonicityNot monotonic
2023-12-13T08:14:29.139853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 736
22.1%
6 389
 
11.7%
7 252
 
7.6%
8 180
 
5.4%
10 155
 
4.7%
9 138
 
4.1%
11 86
 
2.6%
12 72
 
2.2%
15 61
 
1.8%
13 59
 
1.8%
Other values (299) 1197
35.9%
ValueCountFrequency (%)
0 19
 
0.6%
1 8
 
0.2%
2 8
 
0.2%
3 8
 
0.2%
4 28
 
0.8%
5 736
22.1%
6 389
11.7%
7 252
 
7.6%
8 180
 
5.4%
9 138
 
4.1%
ValueCountFrequency (%)
14125 1
< 0.1%
7396 1
< 0.1%
6917 1
< 0.1%
6453 1
< 0.1%
5714 1
< 0.1%
3734 1
< 0.1%
3658 1
< 0.1%
3519 1
< 0.1%
3518 1
< 0.1%
3470 1
< 0.1%

직원_비조합원수
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)3.9%
Missing12
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean8.7024096
Minimum0
Maximum802
Zeros926
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size29.4 KiB
2023-12-13T08:14:29.271530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile30
Maximum802
Range802
Interquartile range (IQR)6

Descriptive statistics

Standard deviation30.903021
Coefficient of variation (CV)3.5510878
Kurtosis187.59922
Mean8.7024096
Median Absolute Deviation (MAD)2
Skewness11.099948
Sum28892
Variance954.99668
MonotonicityNot monotonic
2023-12-13T08:14:29.685462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 926
27.8%
1 585
17.6%
2 320
 
9.6%
5 219
 
6.6%
3 214
 
6.4%
4 147
 
4.4%
6 146
 
4.4%
7 83
 
2.5%
10 73
 
2.2%
8 70
 
2.1%
Other values (118) 537
16.1%
ValueCountFrequency (%)
0 926
27.8%
1 585
17.6%
2 320
 
9.6%
3 214
 
6.4%
4 147
 
4.4%
5 219
 
6.6%
6 146
 
4.4%
7 83
 
2.5%
8 70
 
2.1%
9 59
 
1.8%
ValueCountFrequency (%)
802 1
< 0.1%
466 1
< 0.1%
403 1
< 0.1%
380 1
< 0.1%
367 1
< 0.1%
333 1
< 0.1%
324 1
< 0.1%
293 1
< 0.1%
279 1
< 0.1%
276 1
< 0.1%

자산
Text

Distinct2683
Distinct (%)81.0%
Missing19
Missing (%)0.6%
Memory size26.2 KiB
2023-12-13T08:14:29.966065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.3268941
Min length1

Characters and Unicode

Total characters24274
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2634 ?
Unique (%)79.5%

Sample

1st row22828488
2nd row794255
3rd row9942203
4th row556334454
5th row1000000
ValueCountFrequency (%)
0 230
 
6.9%
5000000 67
 
2.0%
1000000 65
 
2.0%
10000000 39
 
1.2%
500000 37
 
1.1%
3000000 32
 
1.0%
2000000 22
 
0.7%
2500000 15
 
0.5%
600000 12
 
0.4%
4000000 10
 
0.3%
Other values (2673) 2784
84.0%
2023-12-13T08:14:30.378483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5480
22.6%
1 2729
11.2%
2 2311
9.5%
5 2279
9.4%
3 2072
 
8.5%
4 2009
 
8.3%
6 1894
 
7.8%
7 1874
 
7.7%
8 1795
 
7.4%
9 1787
 
7.4%
Other values (5) 44
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24230
99.8%
Other Punctuation 28
 
0.1%
Dash Punctuation 14
 
0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5480
22.6%
1 2729
11.3%
2 2311
9.5%
5 2279
9.4%
3 2072
 
8.6%
4 2009
 
8.3%
6 1894
 
7.8%
7 1874
 
7.7%
8 1795
 
7.4%
9 1787
 
7.4%
Other Punctuation
ValueCountFrequency (%)
, 27
96.4%
. 1
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24273
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5480
22.6%
1 2729
11.2%
2 2311
9.5%
5 2279
9.4%
3 2072
 
8.5%
4 2009
 
8.3%
6 1894
 
7.8%
7 1874
 
7.7%
8 1795
 
7.4%
9 1787
 
7.4%
Other values (4) 43
 
0.2%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5480
22.6%
1 2729
11.2%
2 2311
9.5%
5 2279
9.4%
3 2072
 
8.5%
4 2009
 
8.3%
6 1894
 
7.8%
7 1874
 
7.7%
8 1795
 
7.4%
9 1787
 
7.4%
Other values (5) 44
 
0.2%

조합원출자금
Text

Distinct956
Distinct (%)28.9%
Missing19
Missing (%)0.6%
Memory size26.2 KiB
2023-12-13T08:14:30.723276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.9909448
Min length1

Characters and Unicode

Total characters23161
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique712 ?
Unique (%)21.5%

Sample

1st row5000000
2nd row1000000
3rd row7800000
4th row10000000
5th row1000000
ValueCountFrequency (%)
5000000 277
 
8.4%
1000000 225
 
6.8%
10000000 212
 
6.4%
0 183
 
5.5%
3000000 106
 
3.2%
500000 104
 
3.1%
2000000 92
 
2.8%
2500000 74
 
2.2%
6000000 44
 
1.3%
20000000 39
 
1.2%
Other values (946) 1957
59.1%
2023-12-13T08:14:31.246710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16868
72.8%
1 1490
 
6.4%
5 1221
 
5.3%
2 872
 
3.8%
3 677
 
2.9%
4 494
 
2.1%
6 456
 
2.0%
7 393
 
1.7%
8 371
 
1.6%
9 292
 
1.3%
Other values (2) 27
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23134
99.9%
Other Punctuation 26
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16868
72.9%
1 1490
 
6.4%
5 1221
 
5.3%
2 872
 
3.8%
3 677
 
2.9%
4 494
 
2.1%
6 456
 
2.0%
7 393
 
1.7%
8 371
 
1.6%
9 292
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16868
72.8%
1 1490
 
6.4%
5 1221
 
5.3%
2 872
 
3.8%
3 677
 
2.9%
4 494
 
2.1%
6 456
 
2.0%
7 393
 
1.7%
8 371
 
1.6%
9 292
 
1.3%
Other values (2) 27
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16868
72.8%
1 1490
 
6.4%
5 1221
 
5.3%
2 872
 
3.8%
3 677
 
2.9%
4 494
 
2.1%
6 456
 
2.0%
7 393
 
1.7%
8 371
 
1.6%
9 292
 
1.3%
Other values (2) 27
 
0.1%

지역
Categorical

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
경기도
750 
서울
695 
경상남도
225 
경상북도
200 
강원도
195 
Other values (12)
1267 

Length

Max length4
Median length3
Mean length2.8973589
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산
2nd row서울
3rd row강원도
4th row경기도
5th row서울

Common Values

ValueCountFrequency (%)
경기도 750
22.5%
서울 695
20.9%
경상남도 225
 
6.8%
경상북도 200
 
6.0%
강원도 195
 
5.9%
전라북도 179
 
5.4%
전라남도 158
 
4.7%
대전 139
 
4.2%
광주 126
 
3.8%
충청남도 113
 
3.4%
Other values (7) 552
16.6%

Length

2023-12-13T08:14:31.450464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 750
22.5%
서울 695
20.9%
경상남도 225
 
6.8%
경상북도 200
 
6.0%
강원도 195
 
5.9%
전라북도 179
 
5.4%
전라남도 158
 
4.7%
대전 139
 
4.2%
광주 126
 
3.8%
충청남도 113
 
3.4%
Other values (7) 552
16.6%

소관부처
Categorical

Distinct31
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
보건복지부
1298 
교육부
477 
고용노동부
270 
문화체육관광부
237 
국토교통부
181 
Other values (26)
869 

Length

Max length9
Median length5
Mean length4.8493397
Min length3

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row고용노동부
2nd row여성가족부
3rd row기획재정부
4th row보건복지부
5th row보건복지부

Common Values

ValueCountFrequency (%)
보건복지부 1298
39.0%
교육부 477
 
14.3%
고용노동부 270
 
8.1%
문화체육관광부 237
 
7.1%
국토교통부 181
 
5.4%
기획재정부 133
 
4.0%
<NA> 112
 
3.4%
농림축산식품부 112
 
3.4%
산림청 104
 
3.1%
행정안전부 96
 
2.9%
Other values (21) 312
 
9.4%

Length

2023-12-13T08:14:31.598197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보건복지부 1298
39.0%
교육부 477
 
14.3%
고용노동부 270
 
8.1%
문화체육관광부 237
 
7.1%
국토교통부 181
 
5.4%
기획재정부 133
 
4.0%
na 112
 
3.4%
농림축산식품부 112
 
3.4%
산림청 104
 
3.1%
행정안전부 96
 
2.9%
Other values (21) 312
 
9.4%

Interactions

2023-12-13T08:14:25.084494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:24.857815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:25.194274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:24.958559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:14:31.697616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시상태조합원수직원_비조합원수지역소관부처
공시상태1.0000.0000.0000.0000.000
조합원수0.0001.0000.5060.0000.380
직원_비조합원수0.0000.5061.0000.0000.000
지역0.0000.0000.0001.0000.352
소관부처0.0000.3800.0000.3521.000
2023-12-13T08:14:31.828828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시상태소관부처지역
공시상태1.0000.0000.000
소관부처0.0001.0000.106
지역0.0000.1061.000
2023-12-13T08:14:31.933498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조합원수직원_비조합원수공시상태지역소관부처
조합원수1.0000.1410.0000.0000.162
직원_비조합원수0.1411.0000.0000.0000.000
공시상태0.0000.0001.0000.0000.000
지역0.0000.0000.0001.0000.106
소관부처0.1620.0000.0000.1061.000

Missing values

2023-12-13T08:14:25.342662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:14:25.584857image/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.
2023-12-13T08:14:25.743543image/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

협동조합명공시년도공시상태기본주소상세주소조합원수직원_비조합원수자산조합원출자금지역소관부처
0고용지원사회적협동조합2021완료울산광역시 울주군 범서읍 굴화1길 56202호72228284885000000울산고용노동부
1새벽별 사회적협동조합2021완료서울특별시 관악구 봉천로 335(봉천동)3층 301호507942551000000서울여성가족부
2강릉협동사회경제네트워크 사회적협동조합2021완료강원도 강릉시 성덕포남로188번길 22(포남동)4층31199422037800000강원도기획재정부
3사회적협동조합 오산돌봄2021완료경기도 오산시 대호로117번길 39(궐동)7층 오산돌봄사회적협동조합1020155633445410000000경기도보건복지부
4우리집사회적협동조합2021완료서울특별시 서대문구 증가로6길 55(홍은동)1층6310000001000000서울보건복지부
5거리의친구들 사회적협동조합2021완료대구광역시 동구 동부로24길 36(신천동)지하1층12020750001500000대구보건복지부
6사회적협동조합 페도틱코리아2021완료경기도 고양시 일산동구 일산로 142(백석동)427호(백석동, 유니테크빌)6015,495,2615,000,000경기도보건복지부
7협동조합 링크2021완료경상남도 창원시 진해구 안골로285번길 13(안골동)5층 501호39015000001500000경상남도<NA>
8신기 아름드리 협동조합2021완료경상북도 문경시 당교2길 36(모전동)2층83235915173750000경상북도<NA>
9작은천사들 사회적협동조합2021완료경기도 시흥시 새재로 19(장현동)윤성빌딩 5층 502호 작은천사들 사회적협동조합4439819179730000000경기도고용노동부
협동조합명공시년도공시상태기본주소상세주소조합원수직원_비조합원수자산조합원출자금지역소관부처
3322코스콤(한국증권전산)협동조합2021완료서울 영등포구 여의나루로4길 21코스콤한국증권전산 협동조합734118469047573400000서울<NA>
3323사회적협동조합 리업2021완료경기 군포시 용호1로 142층1011800000018000000경기도환경부
3324기승전결 사회적협동조합2021완료서울특별시 영등포구 경인로 757(문래동3가)303호6060000006000000서울문화체육관광부
3325사회적협동조합 보다 더 좋은세상2021완료서울 송파구 송파대로34길 272층 201호10347170422347170422서울기획재정부
3326더 커가는 꿈 사회적협동조합2021<NA>경기 하남시 신장로205번길 16101-1409115<NA><NA>경기도보건복지부
3327위례고 교육공동체 사회적협동조합2021완료경기도 하남시 위례순환로 323 (학암동)위례고등학교 1층138028048894040000경기도교육부
3328경기마을교육공동체 사회적협동조합2021완료경기도 안양시 만안구 능곡로 84(안양동)배움터 1층6754628111058140440000경기도교육부
3329서울남산초등학교 사회적협동조합2021완료서울특별시 중구 퇴계로22길 17(남산동2가)서울남산초등학교23000서울교육부
3330광덕고 교육경제공동체 사회적협동조합2021완료경기도 안산시 상록구 순환로 532(월피동)광덕고등학교810<NA><NA>경기도교육부
3331마을교육경제공동체 별내고 사회적협동조합2021완료경기도 남양주시 별내5로 36(별내동)별내고등학교 1층 매점 BOM1231439252434315158경기도교육부