Overview

Dataset statistics

Number of variables9
Number of observations1136
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.1 KiB
Average record size in memory73.1 B

Variable types

Numeric1
Categorical3
Text5

Dataset

Description사회적경제과에서 매년 상,하반기 작성하는 충청남도 소재 협동조합 현황(조합명, 설립일, 주요사업 등)에 대한 자료임
URLhttps://www.data.go.kr/data/15019718/fileData.do

Alerts

연번 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 연번High correlation
구분 is highly imbalanced (69.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:11:33.638160
Analysis finished2023-12-12 15:11:35.432425
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568.5
Minimum1
Maximum1136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2023-12-13T00:11:35.490151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.75
Q1284.75
median568.5
Q3852.25
95-th percentile1079.25
Maximum1136
Range1135
Interquartile range (IQR)567.5

Descriptive statistics

Standard deviation328.07926
Coefficient of variation (CV)0.57709632
Kurtosis-1.2
Mean568.5
Median Absolute Deviation (MAD)284
Skewness0
Sum645816
Variance107636
MonotonicityStrictly increasing
2023-12-13T00:11:35.602203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
757 1
 
0.1%
763 1
 
0.1%
762 1
 
0.1%
761 1
 
0.1%
760 1
 
0.1%
759 1
 
0.1%
758 1
 
0.1%
756 1
 
0.1%
765 1
 
0.1%
Other values (1126) 1126
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1136 1
0.1%
1135 1
0.1%
1134 1
0.1%
1133 1
0.1%
1132 1
0.1%
1131 1
0.1%
1130 1
0.1%
1129 1
0.1%
1128 1
0.1%
1127 1
0.1%

시군
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
천안시
196 
아산시
151 
공주시
88 
당진시
82 
논산시
80 
Other values (10)
539 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
천안시 196
17.3%
아산시 151
13.3%
공주시 88
7.7%
당진시 82
7.2%
논산시 80
 
7.0%
서산시 74
 
6.5%
예산군 74
 
6.5%
홍성군 67
 
5.9%
금산군 61
 
5.4%
태안군 61
 
5.4%
Other values (5) 202
17.8%

Length

2023-12-13T00:11:35.726851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안시 196
17.3%
아산시 151
13.3%
공주시 88
7.7%
당진시 82
7.2%
논산시 80
 
7.0%
서산시 74
 
6.5%
예산군 74
 
6.5%
홍성군 67
 
5.9%
금산군 61
 
5.4%
태안군 61
 
5.4%
Other values (5) 202
17.8%

구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
일반협동조합
973 
사회적협동조합
159 
일반협동조합연합회
 
3
사회적협동조합연합회
 
1

Length

Max length10
Median length6
Mean length6.1514085
Min length6

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반협동조합 973
85.7%
사회적협동조합 159
 
14.0%
일반협동조합연합회 3
 
0.3%
사회적협동조합연합회 1
 
0.1%

Length

2023-12-13T00:11:35.839241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:35.927228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반협동조합 973
85.7%
사회적협동조합 159
 
14.0%
일반협동조합연합회 3
 
0.3%
사회적협동조합연합회 1
 
0.1%

협동조합명
Text

Distinct1133
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-13T00:11:36.086794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length10.15581
Min length5

Characters and Unicode

Total characters11537
Distinct characters586
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1130 ?
Unique (%)99.5%

Sample

1st row성문사회적협동조합
2nd row천안여자고등학교사회적협동조합
3rd row사회적협동조합천안사회경제연대
4th row푸른사회적협동조합
5th row다원사회적협동조합
ValueCountFrequency (%)
행복나눔협동조합 2
 
0.2%
다문화협동조합 2
 
0.2%
한마음협동조합 2
 
0.2%
희망나눔협동조합 1
 
0.1%
상생발전협동조합 1
 
0.1%
햇살쏠라에너지협동조합 1
 
0.1%
트랜디협동조합 1
 
0.1%
김현자발박사금산협동조합 1
 
0.1%
숲속마을협동조합 1
 
0.1%
햇빛마을협동조합 1
 
0.1%
Other values (1125) 1125
98.9%
2023-12-13T00:11:36.460602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1185
 
10.3%
합 1154
 
10.0%
조 1143
 
9.9%
협 1140
 
9.9%
사 219
 
1.9%
회 190
 
1.6%
적 171
 
1.5%
산 152
 
1.3%
리 142
 
1.2%
마 126
 
1.1%
Other values (576) 5915
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11374
98.6%
Uppercase Letter 68
 
0.6%
Decimal Number 41
 
0.4%
Close Punctuation 15
 
0.1%
Open Punctuation 15
 
0.1%
Other Punctuation 12
 
0.1%
Lowercase Letter 9
 
0.1%
Space Separator 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1185
 
10.4%
합 1154
 
10.1%
조 1143
 
10.0%
협 1140
 
10.0%
사 219
 
1.9%
회 190
 
1.7%
적 171
 
1.5%
산 152
 
1.3%
리 142
 
1.2%
마 126
 
1.1%
Other values (527) 5752
50.6%
Uppercase Letter
ValueCountFrequency (%)
O 6
 
8.8%
S 6
 
8.8%
M 6
 
8.8%
A 5
 
7.4%
C 5
 
7.4%
I 4
 
5.9%
B 4
 
5.9%
N 3
 
4.4%
D 3
 
4.4%
V 3
 
4.4%
Other values (13) 23
33.8%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
3 10
24.4%
2 8
19.5%
5 3
 
7.3%
6 3
 
7.3%
0 2
 
4.9%
9 2
 
4.9%
4 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
s 1
11.1%
r 1
11.1%
e 1
11.1%
a 1
11.1%
m 1
11.1%
o 1
11.1%
n 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 4
33.3%
. 2
16.7%
" 2
16.7%
' 2
16.7%
& 1
 
8.3%
? 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11371
98.6%
Common 86
 
0.7%
Latin 77
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1185
 
10.4%
합 1154
 
10.1%
조 1143
 
10.1%
협 1140
 
10.0%
사 219
 
1.9%
회 190
 
1.7%
적 171
 
1.5%
산 152
 
1.3%
리 142
 
1.2%
마 126
 
1.1%
Other values (524) 5749
50.6%
Latin
ValueCountFrequency (%)
O 6
 
7.8%
S 6
 
7.8%
M 6
 
7.8%
A 5
 
6.5%
C 5
 
6.5%
I 4
 
5.2%
B 4
 
5.2%
N 3
 
3.9%
D 3
 
3.9%
V 3
 
3.9%
Other values (21) 32
41.6%
Common
ValueCountFrequency (%)
) 15
17.4%
( 15
17.4%
1 12
14.0%
3 10
11.6%
2 8
9.3%
, 4
 
4.7%
5 3
 
3.5%
6 3
 
3.5%
. 2
 
2.3%
" 2
 
2.3%
Other values (8) 12
14.0%
Han
ValueCountFrequency (%)
多 1
33.3%
樂 1
33.3%
石 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11370
98.6%
ASCII 163
 
1.4%
CJK 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1185
 
10.4%
합 1154
 
10.1%
조 1143
 
10.1%
협 1140
 
10.0%
사 219
 
1.9%
회 190
 
1.7%
적 171
 
1.5%
산 152
 
1.3%
리 142
 
1.2%
마 126
 
1.1%
Other values (523) 5748
50.6%
ASCII
ValueCountFrequency (%)
) 15
 
9.2%
( 15
 
9.2%
1 12
 
7.4%
3 10
 
6.1%
2 8
 
4.9%
O 6
 
3.7%
S 6
 
3.7%
M 6
 
3.7%
A 5
 
3.1%
C 5
 
3.1%
Other values (39) 75
46.0%
CJK
ValueCountFrequency (%)
多 1
33.3%
樂 1
33.3%
石 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

이사장명
Text

Distinct1098
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-13T00:11:36.790152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9911972
Min length2

Characters and Unicode

Total characters3398
Distinct characters222
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1063 ?
Unique (%)93.6%

Sample

1st row김현정
2nd row방준희
3rd row김용빈
4th row김자영
5th row김지혜
ValueCountFrequency (%)
김현숙 3
 
0.3%
김기성 3
 
0.3%
이정숙 3
 
0.3%
김정숙 2
 
0.2%
이광연 2
 
0.2%
강희진 2
 
0.2%
임현묵 2
 
0.2%
박기범 2
 
0.2%
김기정 2
 
0.2%
김영선 2
 
0.2%
Other values (1088) 1113
98.0%
2023-12-13T00:11:37.336369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 255
 
7.5%
이 194
 
5.7%
정 118
 
3.5%
영 103
 
3.0%
박 95
 
2.8%
진 77
 
2.3%
현 69
 
2.0%
희 67
 
2.0%
성 63
 
1.9%
최 60
 
1.8%
Other values (212) 2297
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3398
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 255
 
7.5%
이 194
 
5.7%
정 118
 
3.5%
영 103
 
3.0%
박 95
 
2.8%
진 77
 
2.3%
현 69
 
2.0%
희 67
 
2.0%
성 63
 
1.9%
최 60
 
1.8%
Other values (212) 2297
67.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3398
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 255
 
7.5%
이 194
 
5.7%
정 118
 
3.5%
영 103
 
3.0%
박 95
 
2.8%
진 77
 
2.3%
현 69
 
2.0%
희 67
 
2.0%
성 63
 
1.9%
최 60
 
1.8%
Other values (212) 2297
67.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3398
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 255
 
7.5%
이 194
 
5.7%
정 118
 
3.5%
영 103
 
3.0%
박 95
 
2.8%
진 77
 
2.3%
현 69
 
2.0%
희 67
 
2.0%
성 63
 
1.9%
최 60
 
1.8%
Other values (212) 2297
67.6%

업종
Categorical

Distinct21
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
농업, 어업 및 임업
192 
도매 및 소매업
166 
교육 서비스업
161 
예술, 스포츠 및 여가관련 서비스업
106 
보건업 및 사회복지서비스업
90 
Other values (16)
421 

Length

Max length31
Median length21
Mean length11.848592
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row보건업 및 사회복지서비스업
2nd row교육 서비스업
3rd row보건업 및 사회복지서비스업
4th row보건업 및 사회복지서비스업
5th row보건업 및 사회복지서비스업

Common Values

ValueCountFrequency (%)
농업, 어업 및 임업 192
16.9%
도매 및 소매업 166
14.6%
교육 서비스업 161
14.2%
예술, 스포츠 및 여가관련 서비스업 106
9.3%
보건업 및 사회복지서비스업 90
7.9%
제조업 77
6.8%
전기, 가스, 증기 및 수도사업 68
 
6.0%
숙박 및 음식점업 51
 
4.5%
사업시설관리 및 사업지원 서비스업 47
 
4.1%
출판, 영상, 방송통신 및 정보서비스업 40
 
3.5%
Other values (11) 138
12.1%

Length

2023-12-13T00:11:37.520524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 901
22.5%
서비스업 384
 
9.6%
농업 192
 
4.8%
임업 192
 
4.8%
어업 192
 
4.8%
도매 166
 
4.1%
소매업 166
 
4.1%
교육 161
 
4.0%
예술 106
 
2.6%
스포츠 106
 
2.6%
Other values (50) 1446
36.0%

주요사업
Text

Distinct1071
Distinct (%)94.4%
Missing1
Missing (%)0.1%
Memory size9.0 KiB
2023-12-13T00:11:37.942897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length154
Mean length48.347137
Min length2

Characters and Unicode

Total characters54874
Distinct characters631
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1046 ?
Unique (%)92.2%

Sample

1st row지역아동센터 운영
2nd row학생건강증진사업, 학생교육복지사업, 민주시민교육사업
3rd row사회적기업 관련 컨설팅, 네트워킹, 교육 사업을 통한 사회적경제 활성화 도모
4th row지역아동센터 운영 등
5th row지역아동센터 운영
ValueCountFrequency (%)
및 1063
 
8.1%
사업 709
 
5.4%
ㅇ 363
 
2.8%
등 311
 
2.4%
위한 265
 
2.0%
1 195
 
1.5%
2 170
 
1.3%
판매 169
 
1.3%
교육 165
 
1.3%
운영 157
 
1.2%
Other values (3890) 9502
72.7%
2023-12-13T00:11:38.595645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12923
23.6%
업 2359
 
4.3%
사 2148
 
3.9%
, 1793
 
3.3%
및 1124
 
2.0%
. 884
 
1.6%
공 806
 
1.5%
지 637
 
1.2%
교 626
 
1.1%
매 620
 
1.1%
Other values (621) 30954
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37882
69.0%
Space Separator 12923
 
23.6%
Other Punctuation 2832
 
5.2%
Decimal Number 890
 
1.6%
Close Punctuation 103
 
0.2%
Open Punctuation 102
 
0.2%
Uppercase Letter 57
 
0.1%
Other Symbol 56
 
0.1%
Lowercase Letter 19
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2359
 
6.2%
사 2148
 
5.7%
및 1124
 
3.0%
공 806
 
2.1%
지 637
 
1.7%
교 626
 
1.7%
매 620
 
1.6%
육 565
 
1.5%
한 538
 
1.4%
조 537
 
1.4%
Other values (562) 27922
73.7%
Uppercase Letter
ValueCountFrequency (%)
D 9
15.8%
E 8
14.0%
A 7
12.3%
M 7
12.3%
R 4
7.0%
N 4
7.0%
P 3
 
5.3%
V 2
 
3.5%
I 2
 
3.5%
G 2
 
3.5%
Other values (6) 9
15.8%
Other Punctuation
ValueCountFrequency (%)
, 1793
63.3%
. 884
31.2%
/ 66
 
2.3%
? 41
 
1.4%
· 34
 
1.2%
# 4
 
0.1%
: 4
 
0.1%
' 2
 
0.1%
* 2
 
0.1%
& 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 235
26.4%
2 224
25.2%
3 167
18.8%
4 118
13.3%
5 67
 
7.5%
6 37
 
4.2%
7 17
 
1.9%
8 13
 
1.5%
0 7
 
0.8%
9 5
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
o 9
47.4%
s 2
 
10.5%
a 1
 
5.3%
c 1
 
5.3%
d 1
 
5.3%
i 1
 
5.3%
t 1
 
5.3%
e 1
 
5.3%
f 1
 
5.3%
n 1
 
5.3%
Other Number
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 102
99.0%
」 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 101
99.0%
「 1
 
1.0%
Space Separator
ValueCountFrequency (%)
12923
100.0%
Other Symbol
ValueCountFrequency (%)
○ 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37882
69.0%
Common 16916
30.8%
Latin 76
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2359
 
6.2%
사 2148
 
5.7%
및 1124
 
3.0%
공 806
 
2.1%
지 637
 
1.7%
교 626
 
1.7%
매 620
 
1.6%
육 565
 
1.5%
한 538
 
1.4%
조 537
 
1.4%
Other values (562) 27922
73.7%
Common
ValueCountFrequency (%)
12923
76.4%
, 1793
 
10.6%
. 884
 
5.2%
1 235
 
1.4%
2 224
 
1.3%
3 167
 
1.0%
4 118
 
0.7%
) 102
 
0.6%
( 101
 
0.6%
5 67
 
0.4%
Other values (23) 302
 
1.8%
Latin
ValueCountFrequency (%)
o 9
11.8%
D 9
11.8%
E 8
 
10.5%
A 7
 
9.2%
M 7
 
9.2%
R 4
 
5.3%
N 4
 
5.3%
P 3
 
3.9%
V 2
 
2.6%
I 2
 
2.6%
Other values (16) 21
27.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37360
68.1%
ASCII 16894
30.8%
Compat Jamo 522
 
1.0%
Geometric Shapes 56
 
0.1%
None 36
 
0.1%
Enclosed Alphanum 4
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12923
76.5%
, 1793
 
10.6%
. 884
 
5.2%
1 235
 
1.4%
2 224
 
1.3%
3 167
 
1.0%
4 118
 
0.7%
) 102
 
0.6%
( 101
 
0.6%
5 67
 
0.4%
Other values (39) 280
 
1.7%
Hangul
ValueCountFrequency (%)
업 2359
 
6.3%
사 2148
 
5.7%
및 1124
 
3.0%
공 806
 
2.2%
지 637
 
1.7%
교 626
 
1.7%
매 620
 
1.7%
육 565
 
1.5%
한 538
 
1.4%
조 537
 
1.4%
Other values (560) 27400
73.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 520
99.6%
ㆍ 2
 
0.4%
Geometric Shapes
ValueCountFrequency (%)
○ 56
100.0%
None
ValueCountFrequency (%)
· 34
94.4%
」 1
 
2.8%
「 1
 
2.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

주소
Text

Distinct1116
Distinct (%)98.3%
Missing1
Missing (%)0.1%
Memory size9.0 KiB
2023-12-13T00:11:39.011002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length21.564758
Min length10

Characters and Unicode

Total characters24476
Distinct characters411
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1098 ?
Unique (%)96.7%

Sample

1st row천안시 동남구 성남면 약수로 323-14
2nd row천안시 동남구 삼룡3길 30(삼룡동) 천안여자고등학교
3rd row천안시 서북구 봉명로 23(쌍용동) 용궁빌딩 3층
4th row천안시 동남구 성남면 석곡1길 90
5th row천안시 동남구 청수4로 11(청당동, 청수한양수자인) 401동 701호
ValueCountFrequency (%)
천안시 196
 
3.6%
아산시 151
 
2.8%
2층 101
 
1.9%
서북구 98
 
1.8%
동남구 98
 
1.8%
공주시 88
 
1.6%
당진시 82
 
1.5%
논산시 79
 
1.5%
서산시 74
 
1.4%
예산군 74
 
1.4%
Other values (2187) 4374
80.8%
2023-12-13T00:11:39.600155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4308
 
17.6%
1 1135
 
4.6%
시 802
 
3.3%
2 783
 
3.2%
동 689
 
2.8%
산 687
 
2.8%
로 631
 
2.6%
길 610
 
2.5%
3 516
 
2.1%
4 466
 
1.9%
Other values (401) 13849
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13932
56.9%
Decimal Number 4869
 
19.9%
Space Separator 4312
 
17.6%
Open Punctuation 423
 
1.7%
Close Punctuation 423
 
1.7%
Other Punctuation 421
 
1.7%
Dash Punctuation 62
 
0.3%
Uppercase Letter 30
 
0.1%
Other Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 802
 
5.8%
동 689
 
4.9%
산 687
 
4.9%
로 631
 
4.5%
길 610
 
4.4%
면 433
 
3.1%
천 418
 
3.0%
군 405
 
2.9%
ㅇ 330
 
2.4%
안 326
 
2.3%
Other values (369) 8601
61.7%
Decimal Number
ValueCountFrequency (%)
1 1135
23.3%
2 783
16.1%
3 516
10.6%
4 466
9.6%
0 442
 
9.1%
5 360
 
7.4%
6 336
 
6.9%
7 296
 
6.1%
8 283
 
5.8%
9 252
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
30.0%
A 6
20.0%
D 3
 
10.0%
L 3
 
10.0%
H 3
 
10.0%
C 2
 
6.7%
T 1
 
3.3%
P 1
 
3.3%
S 1
 
3.3%
M 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 412
97.9%
. 8
 
1.9%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4308
99.9%
　 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 423
100.0%
Close Punctuation
ValueCountFrequency (%)
) 423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13933
56.9%
Common 10512
42.9%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 802
 
5.8%
동 689
 
4.9%
산 687
 
4.9%
로 631
 
4.5%
길 610
 
4.4%
면 433
 
3.1%
천 418
 
3.0%
군 405
 
2.9%
ㅇ 330
 
2.4%
안 326
 
2.3%
Other values (370) 8602
61.7%
Common
ValueCountFrequency (%)
4308
41.0%
1 1135
 
10.8%
2 783
 
7.4%
3 516
 
4.9%
4 466
 
4.4%
0 442
 
4.2%
( 423
 
4.0%
) 423
 
4.0%
, 412
 
3.9%
5 360
 
3.4%
Other values (10) 1244
 
11.8%
Latin
ValueCountFrequency (%)
B 9
29.0%
A 6
19.4%
D 3
 
9.7%
L 3
 
9.7%
H 3
 
9.7%
C 2
 
6.5%
T 1
 
3.2%
P 1
 
3.2%
s 1
 
3.2%
S 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13602
55.6%
ASCII 10539
43.1%
Compat Jamo 330
 
1.3%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4308
40.9%
1 1135
 
10.8%
2 783
 
7.4%
3 516
 
4.9%
4 466
 
4.4%
0 442
 
4.2%
( 423
 
4.0%
) 423
 
4.0%
, 412
 
3.9%
5 360
 
3.4%
Other values (20) 1271
 
12.1%
Hangul
ValueCountFrequency (%)
시 802
 
5.9%
동 689
 
5.1%
산 687
 
5.1%
로 631
 
4.6%
길 610
 
4.5%
면 433
 
3.2%
천 418
 
3.1%
군 405
 
3.0%
안 326
 
2.4%
읍 314
 
2.3%
Other values (368) 8287
60.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 330
100.0%
None
ValueCountFrequency (%)
　 4
80.0%
㈜ 1
 
20.0%

수리(인가)일
Text

Distinct815
Distinct (%)71.8%
Missing1
Missing (%)0.1%
Memory size9.0 KiB
2023-12-13T00:11:39.870024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9991189
Min length9

Characters and Unicode

Total characters11349
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique583 ?
Unique (%)51.4%

Sample

1st row2022-12-05
2nd row2022-09-05
3rd row2022-07-06
4th row2022-06-28
5th row2022-06-23
ValueCountFrequency (%)
2015-12-31 6
 
0.5%
2014-01-15 6
 
0.5%
2021-02-25 6
 
0.5%
2015-03-02 5
 
0.4%
2020-12-28 5
 
0.4%
2014-03-07 5
 
0.4%
2013-11-22 5
 
0.4%
2018-05-16 4
 
0.4%
2021-09-23 4
 
0.4%
2018-12-24 4
 
0.4%
Other values (805) 1085
95.6%
2023-12-13T00:11:40.277115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2577
22.7%
2 2464
21.7%
- 2270
20.0%
1 1875
16.5%
3 386
 
3.4%
4 334
 
2.9%
8 321
 
2.8%
9 294
 
2.6%
6 291
 
2.6%
5 281
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9079
80.0%
Dash Punctuation 2270
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2577
28.4%
2 2464
27.1%
1 1875
20.7%
3 386
 
4.3%
4 334
 
3.7%
8 321
 
3.5%
9 294
 
3.2%
6 291
 
3.2%
5 281
 
3.1%
7 256
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 2270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2577
22.7%
2 2464
21.7%
- 2270
20.0%
1 1875
16.5%
3 386
 
3.4%
4 334
 
2.9%
8 321
 
2.8%
9 294
 
2.6%
6 291
 
2.6%
5 281
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2577
22.7%
2 2464
21.7%
- 2270
20.0%
1 1875
16.5%
3 386
 
3.4%
4 334
 
2.9%
8 321
 
2.8%
9 294
 
2.6%
6 291
 
2.6%
5 281
 
2.5%

Interactions

2023-12-13T00:11:35.057142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:11:40.381001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구분업종
연번1.0000.9780.2050.409
시군0.9781.0000.0000.441
구분0.2050.0001.0000.495
업종0.4090.4410.4951.000
2023-12-13T00:11:40.467647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종시군
구분1.0000.2870.000
업종0.2871.0000.153
시군0.0000.1531.000
2023-12-13T00:11:40.555002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구분업종
연번1.0000.8420.1230.163
시군0.8421.0000.0000.153
구분0.1230.0001.0000.287
업종0.1630.1530.2871.000

Missing values

2023-12-13T00:11:35.179201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:11:35.308351image/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.
2023-12-13T00:11:35.391495image/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

연번시군구분협동조합명이사장명업종주요사업주소수리(인가)일
01천안시사회적협동조합성문사회적협동조합김현정보건업 및 사회복지서비스업지역아동센터 운영천안시 동남구 성남면 약수로 323-142022-12-05
12천안시사회적협동조합천안여자고등학교사회적협동조합방준희교육 서비스업학생건강증진사업, 학생교육복지사업, 민주시민교육사업천안시 동남구 삼룡3길 30(삼룡동) 천안여자고등학교2022-09-05
23천안시사회적협동조합사회적협동조합천안사회경제연대김용빈보건업 및 사회복지서비스업사회적기업 관련 컨설팅, 네트워킹, 교육 사업을 통한 사회적경제 활성화 도모천안시 서북구 봉명로 23(쌍용동) 용궁빌딩 3층2022-07-06
34천안시사회적협동조합푸른사회적협동조합김자영보건업 및 사회복지서비스업지역아동센터 운영 등천안시 동남구 성남면 석곡1길 902022-06-28
45천안시사회적협동조합다원사회적협동조합김지혜보건업 및 사회복지서비스업지역아동센터 운영천안시 동남구 청수4로 11(청당동, 청수한양수자인) 401동 701호2022-06-23
56천안시사회적협동조합이든사회적협동조합이정관보건업 및 사회복지서비스업지역아동센터 운영 등천안시 서북구 두정역길 48(두정동, 두정역푸르지오아파트) 105-21032022-06-23
67천안시사회적협동조합이레사회적협동조합정혜영보건업 및 사회복지서비스업지역아동센터 운영 등천안시 동남구 풍세로 705(신방동, 현대아파트) 102동 604호2022-06-09
78천안시사회적협동조합한울사회적협동조합김병호보건업 및 사회복지서비스업지역아동센터 운영 등천안시 서북구 직산읍 삼은4길 18-23(직산세광엔리치빌2차아파트) 205동 304호2022-05-30
89천안시사회적협동조합다올사회적협동조합구한상보건업 및 사회복지서비스업지역아동센터 운영 등천안시 서북구 월봉4로 120-16(쌍용동, 월봉일성아파트) 504동 1307호2022-05-25
910천안시사회적협동조합사회적협동조합나로이정주제조업장애인직업재활시설 운영(블라인드 생산)천안시 서북구 쌍용동 21262022-01-04
연번시군구분협동조합명이사장명업종주요사업주소수리(인가)일
11261127태안군일반협동조합한마음살림협동조합이진농업, 어업 및 임업1. 태안군 남면 지역에서의 '6차산업' 관련 공동 및 위탁 사업 2. 태안군 남면 지역사회의 발전을 위한 문화 및 복지사업 3. 한마음 교회의 발전을 위한 선교사업 지원태안군 남면로 86ㅇ12015-04-22
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