Overview

Dataset statistics

Number of variables9
Number of observations291
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory73.5 B

Variable types

Numeric1
Categorical4
Text4

Dataset

Description인천시 관내 (예비)사회적기업의 기업명, 대표자, 사회적목적유형, 업종, 서비스유형(사업내용), 관할 구, 주소 등의 정보를 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15078032

Alerts

연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번High correlation
군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:04:46.468524
Analysis finished2024-01-28 05:04:47.528657
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct291
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146
Minimum1
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T14:04:47.590214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.5
Q173.5
median146
Q3218.5
95-th percentile276.5
Maximum291
Range290
Interquartile range (IQR)145

Descriptive statistics

Standard deviation84.148678
Coefficient of variation (CV)0.57636081
Kurtosis-1.2
Mean146
Median Absolute Deviation (MAD)73
Skewness0
Sum42486
Variance7081
MonotonicityStrictly increasing
2024-01-28T14:04:47.722389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
184 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
Other values (281) 281
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
인증
198 
예비(지역형)
49 
예비(부처형)
40 
예비(지역형)+예비(부처형)
 
4

Length

Max length15
Median length2
Mean length3.7079038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 198
68.0%
예비(지역형) 49
 
16.8%
예비(부처형) 40
 
13.7%
예비(지역형)+예비(부처형) 4
 
1.4%

Length

2024-01-28T14:04:48.174274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:04:48.283255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 198
68.0%
예비(지역형 49
 
16.8%
예비(부처형 40
 
13.7%
예비(지역형)+예비(부처형 4
 
1.4%

기업명
Text

UNIQUE 

Distinct291
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-28T14:04:48.487456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length7.4226804
Min length3

Characters and Unicode

Total characters2160
Distinct characters373
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

Unique291 ?
Unique (%)100.0%

Sample

1st row㈜정부물품재활용
2nd row㈜두손테크
3rd row㈜인천개항
4th row㈜해피크린
5th row사회적협동조합엠커뮤니티
ValueCountFrequency (%)
사회적협동조합 9
 
2.7%
협동조합 7
 
2.1%
농업회사법인 5
 
1.5%
사단법인 3
 
0.9%
㈜다사랑 2
 
0.6%
사회복지법인 2
 
0.6%
손과손 2
 
0.6%
농업회사법인㈜강화드림 1
 
0.3%
㈜농업회사법인 1
 
0.3%
㈜비젼글로벌 1
 
0.3%
Other values (306) 306
90.3%
2024-01-28T14:04:48.819116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 234
 
10.8%
60
 
2.8%
사 58
 
2.7%
스 52
 
2.4%
이 48
 
2.2%
인 45
 
2.1%
동 43
 
2.0%
협 41
 
1.9%
합 41
 
1.9%
회 39
 
1.8%
Other values (363) 1499
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1821
84.3%
Other Symbol 234
 
10.8%
Space Separator 60
 
2.8%
Uppercase Letter 16
 
0.7%
Open Punctuation 11
 
0.5%
Close Punctuation 11
 
0.5%
Lowercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 58
 
3.2%
스 52
 
2.9%
이 48
 
2.6%
인 45
 
2.5%
동 43
 
2.4%
협 41
 
2.3%
합 41
 
2.3%
회 39
 
2.1%
조 38
 
2.1%
아 34
 
1.9%
Other values (346) 1382
75.9%
Uppercase Letter
ValueCountFrequency (%)
O 3
18.8%
E 3
18.8%
P 2
12.5%
R 2
12.5%
I 2
12.5%
J 1
 
6.2%
A 1
 
6.2%
V 1
 
6.2%
L 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
c 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 234
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2055
95.1%
Common 85
 
3.9%
Latin 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 234
 
11.4%
사 58
 
2.8%
스 52
 
2.5%
이 48
 
2.3%
인 45
 
2.2%
동 43
 
2.1%
협 41
 
2.0%
합 41
 
2.0%
회 39
 
1.9%
조 38
 
1.8%
Other values (347) 1416
68.9%
Latin
ValueCountFrequency (%)
O 3
15.0%
E 3
15.0%
P 2
10.0%
R 2
10.0%
I 2
10.0%
n 2
10.0%
c 2
10.0%
J 1
 
5.0%
A 1
 
5.0%
V 1
 
5.0%
Common
ValueCountFrequency (%)
60
70.6%
( 11
 
12.9%
) 11
 
12.9%
. 2
 
2.4%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1821
84.3%
None 234
 
10.8%
ASCII 105
 
4.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 234
100.0%
ASCII
ValueCountFrequency (%)
60
57.1%
( 11
 
10.5%
) 11
 
10.5%
O 3
 
2.9%
E 3
 
2.9%
P 2
 
1.9%
R 2
 
1.9%
I 2
 
1.9%
. 2
 
1.9%
n 2
 
1.9%
Other values (6) 7
 
6.7%
Hangul
ValueCountFrequency (%)
사 58
 
3.2%
스 52
 
2.9%
이 48
 
2.6%
인 45
 
2.5%
동 43
 
2.4%
협 41
 
2.3%
합 41
 
2.3%
회 39
 
2.1%
조 38
 
2.1%
아 34
 
1.9%
Other values (346) 1382
75.9%

대표자
Text

Distinct288
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-28T14:04:49.091119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.3092784
Min length2

Characters and Unicode

Total characters963
Distinct characters165
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

Unique285 ?
Unique (%)97.9%

Sample

1st row윤성구
2nd row지금련,오상준
3rd row장미진
4th row방미호
5th row이명선
ValueCountFrequency (%)
이기선 2
 
0.7%
장영순 2
 
0.7%
이미옥 2
 
0.7%
한가늠 1
 
0.3%
윤성구 1
 
0.3%
임은숙 1
 
0.3%
오시식 1
 
0.3%
이종선 1
 
0.3%
강일규 1
 
0.3%
문옥영 1
 
0.3%
Other values (290) 290
95.7%
2024-01-28T14:04:49.473096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 72
 
7.5%
이 46
 
4.8%
정 31
 
3.2%
영 27
 
2.8%
호 20
 
2.1%
경 19
 
2.0%
진 18
 
1.9%
수 17
 
1.8%
미 17
 
1.8%
박 17
 
1.8%
Other values (155) 679
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
96.8%
Other Punctuation 18
 
1.9%
Space Separator 13
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 72
 
7.7%
이 46
 
4.9%
정 31
 
3.3%
영 27
 
2.9%
호 20
 
2.1%
경 19
 
2.0%
진 18
 
1.9%
수 17
 
1.8%
미 17
 
1.8%
박 17
 
1.8%
Other values (152) 648
69.5%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
96.8%
Common 31
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 72
 
7.7%
이 46
 
4.9%
정 31
 
3.3%
영 27
 
2.9%
호 20
 
2.1%
경 19
 
2.0%
진 18
 
1.9%
수 17
 
1.8%
미 17
 
1.8%
박 17
 
1.8%
Other values (152) 648
69.5%
Common
ValueCountFrequency (%)
, 17
54.8%
13
41.9%
. 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
96.8%
ASCII 31
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 72
 
7.7%
이 46
 
4.9%
정 31
 
3.3%
영 27
 
2.9%
호 20
 
2.1%
경 19
 
2.0%
진 18
 
1.9%
수 17
 
1.8%
미 17
 
1.8%
박 17
 
1.8%
Other values (152) 648
69.5%
ASCII
ValueCountFrequency (%)
, 17
54.8%
13
41.9%
. 1
 
3.2%

사회적목적유형
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일자리제공형
180 
기타(창의·혁신)형
66 
사회서비스제공형
 
17
혼합형
 
17
지역사회공헌형
 
11

Length

Max length10
Median length6
Mean length6.8865979
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타(창의·혁신)형
2nd row일자리제공형
3rd row일자리제공형
4th row일자리제공형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 180
61.9%
기타(창의·혁신)형 66
 
22.7%
사회서비스제공형 17
 
5.8%
혼합형 17
 
5.8%
지역사회공헌형 11
 
3.8%

Length

2024-01-28T14:04:49.586064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:04:49.672109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 180
61.9%
기타(창의·혁신)형 66
 
22.7%
사회서비스제공형 17
 
5.8%
혼합형 17
 
5.8%
지역사회공헌형 11
 
3.8%

업종
Categorical

Distinct14
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
제조
68 
기타
41 
교육
40 
문화예술
32 
청소
23 
Other values (9)
87 

Length

Max length4
Median length2
Mean length2.4158076
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재활용
2nd row청소
3rd row식품
4th row청소
5th row교육

Common Values

ValueCountFrequency (%)
제조 68
23.4%
기타 41
14.1%
교육 40
13.7%
문화예술 32
11.0%
청소 23
 
7.9%
도소매 21
 
7.2%
식품 20
 
6.9%
간병가사 12
 
4.1%
건설 9
 
3.1%
IT 8
 
2.7%
Other values (4) 17
 
5.8%

Length

2024-01-28T14:04:49.768259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 68
23.4%
기타 41
14.1%
교육 40
13.7%
문화예술 32
11.0%
청소 23
 
7.9%
도소매 21
 
7.2%
식품 20
 
6.9%
간병가사 12
 
4.1%
건설 9
 
3.1%
it 8
 
2.7%
Other values (4) 17
 
5.8%

서비스내용
Text

Distinct288
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-28T14:04:50.024904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length47
Mean length18.718213
Min length2

Characters and Unicode

Total characters5447
Distinct characters413
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)97.9%

Sample

1st row공공기관물품재활용, 사무용가구 등
2nd row건물위생관리, 경비, 방역 등
3rd row카페, 관광기념품, 체험
4th row청소, 소독, 인테리어
5th row복지 서비스
ValueCountFrequency (%)
및 82
 
6.5%
등 40
 
3.2%
제조 33
 
2.6%
판매 30
 
2.4%
교육 26
 
2.1%
도소매 17
 
1.4%
운영 16
 
1.3%
개발 13
 
1.0%
제작 11
 
0.9%
서비스 11
 
0.9%
Other values (722) 975
77.8%
2024-01-28T14:04:50.428430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
 
18.2%
, 301
 
5.5%
제 122
 
2.2%
및 83
 
1.5%
조 81
 
1.5%
매 80
 
1.5%
교 76
 
1.4%
판 73
 
1.3%
공 73
 
1.3%
업 72
 
1.3%
Other values (403) 3497
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4046
74.3%
Space Separator 989
 
18.2%
Other Punctuation 355
 
6.5%
Uppercase Letter 23
 
0.4%
Open Punctuation 14
 
0.3%
Close Punctuation 14
 
0.3%
Decimal Number 4
 
0.1%
Final Punctuation 1
 
< 0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 122
 
3.0%
및 83
 
2.1%
조 81
 
2.0%
매 80
 
2.0%
교 76
 
1.9%
판 73
 
1.8%
공 73
 
1.8%
업 72
 
1.8%
기 71
 
1.8%
스 67
 
1.7%
Other values (376) 3248
80.3%
Uppercase Letter
ValueCountFrequency (%)
D 4
17.4%
E 4
17.4%
L 3
13.0%
C 2
8.7%
T 2
8.7%
S 1
 
4.3%
P 1
 
4.3%
I 1
 
4.3%
H 1
 
4.3%
R 1
 
4.3%
Other values (3) 3
13.0%
Other Punctuation
ValueCountFrequency (%)
, 301
84.8%
/ 24
 
6.8%
· 24
 
6.8%
& 4
 
1.1%
. 1
 
0.3%
: 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
989
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4046
74.3%
Common 1378
 
25.3%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 122
 
3.0%
및 83
 
2.1%
조 81
 
2.0%
매 80
 
2.0%
교 76
 
1.9%
판 73
 
1.8%
공 73
 
1.8%
업 72
 
1.8%
기 71
 
1.8%
스 67
 
1.7%
Other values (376) 3248
80.3%
Common
ValueCountFrequency (%)
989
71.8%
, 301
 
21.8%
/ 24
 
1.7%
· 24
 
1.7%
( 14
 
1.0%
) 14
 
1.0%
& 4
 
0.3%
1 2
 
0.1%
. 1
 
0.1%
2 1
 
0.1%
Other values (4) 4
 
0.3%
Latin
ValueCountFrequency (%)
D 4
17.4%
E 4
17.4%
L 3
13.0%
C 2
8.7%
T 2
8.7%
S 1
 
4.3%
P 1
 
4.3%
I 1
 
4.3%
H 1
 
4.3%
R 1
 
4.3%
Other values (3) 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4046
74.3%
ASCII 1375
 
25.2%
None 24
 
0.4%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
71.9%
, 301
 
21.9%
/ 24
 
1.7%
( 14
 
1.0%
) 14
 
1.0%
D 4
 
0.3%
& 4
 
0.3%
E 4
 
0.3%
L 3
 
0.2%
1 2
 
0.1%
Other values (14) 16
 
1.2%
Hangul
ValueCountFrequency (%)
제 122
 
3.0%
및 83
 
2.1%
조 81
 
2.0%
매 80
 
2.0%
교 76
 
1.9%
판 73
 
1.8%
공 73
 
1.8%
업 72
 
1.8%
기 71
 
1.8%
스 67
 
1.7%
Other values (376) 3248
80.3%
None
ValueCountFrequency (%)
· 24
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

군구
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
남동구
59 
서구
52 
미추홀구
44 
연수구
38 
계양구
25 
Other values (5)
73 

Length

Max length4
Median length3
Mean length2.862543
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 59
20.3%
서구 52
17.9%
미추홀구 44
15.1%
연수구 38
13.1%
계양구 25
8.6%
부평구 23
 
7.9%
중구 18
 
6.2%
동구 14
 
4.8%
강화군 11
 
3.8%
옹진군 7
 
2.4%

Length

2024-01-28T14:04:50.573137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:04:50.684606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 59
20.3%
서구 52
17.9%
미추홀구 44
15.1%
연수구 38
13.1%
계양구 25
8.6%
부평구 23
 
7.9%
중구 18
 
6.2%
동구 14
 
4.8%
강화군 11
 
3.8%
옹진군 7
 
2.4%

주소(신주소)
Text

Distinct289
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-28T14:04:51.022849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length27.756014
Min length15

Characters and Unicode

Total characters8077
Distinct characters318
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

Unique287 ?
Unique (%)98.6%

Sample

1st row인천광역시 중구 서해대로 324
2nd row인천광역시 중구 서해대로 483번길 68번지
3rd row인천광역시 중구 신포로23번길 83, 202호(중앙동1가)
4th row인천광역시 중구 개항로53번길 13
5th row인천광역시 중구 율목로 54, 2층
ValueCountFrequency (%)
인천광역시 291
 
18.8%
남동구 59
 
3.8%
서구 52
 
3.4%
미추홀구 44
 
2.8%
연수구 38
 
2.5%
계양구 25
 
1.6%
1층 24
 
1.6%
부평구 23
 
1.5%
중구 18
 
1.2%
2층 15
 
1.0%
Other values (671) 956
61.9%
2024-01-28T14:04:51.499443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1279
 
15.8%
1 330
 
4.1%
인 329
 
4.1%
천 310
 
3.8%
시 294
 
3.6%
광 293
 
3.6%
역 293
 
3.6%
로 287
 
3.6%
구 287
 
3.6%
동 238
 
2.9%
Other values (308) 4137
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4809
59.5%
Decimal Number 1538
 
19.0%
Space Separator 1279
 
15.8%
Other Punctuation 196
 
2.4%
Close Punctuation 78
 
1.0%
Open Punctuation 77
 
1.0%
Dash Punctuation 65
 
0.8%
Uppercase Letter 31
 
0.4%
Lowercase Letter 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 329
 
6.8%
천 310
 
6.4%
시 294
 
6.1%
광 293
 
6.1%
역 293
 
6.1%
로 287
 
6.0%
구 287
 
6.0%
동 238
 
4.9%
길 134
 
2.8%
번 123
 
2.6%
Other values (275) 2221
46.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
25.8%
E 4
12.9%
I 4
12.9%
S 3
 
9.7%
C 3
 
9.7%
A 2
 
6.5%
T 2
 
6.5%
R 1
 
3.2%
D 1
 
3.2%
V 1
 
3.2%
Other values (2) 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 330
21.5%
2 207
13.5%
0 188
12.2%
3 175
11.4%
4 133
8.6%
5 131
 
8.5%
6 109
 
7.1%
8 96
 
6.2%
7 85
 
5.5%
9 84
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 194
99.0%
@ 1
 
0.5%
. 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
o 1
50.0%
Math Symbol
ValueCountFrequency (%)
～ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4809
59.5%
Common 3235
40.1%
Latin 33
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 329
 
6.8%
천 310
 
6.4%
시 294
 
6.1%
광 293
 
6.1%
역 293
 
6.1%
로 287
 
6.0%
구 287
 
6.0%
동 238
 
4.9%
길 134
 
2.8%
번 123
 
2.6%
Other values (275) 2221
46.2%
Common
ValueCountFrequency (%)
1279
39.5%
1 330
 
10.2%
2 207
 
6.4%
, 194
 
6.0%
0 188
 
5.8%
3 175
 
5.4%
4 133
 
4.1%
5 131
 
4.0%
6 109
 
3.4%
8 96
 
3.0%
Other values (9) 393
 
12.1%
Latin
ValueCountFrequency (%)
B 8
24.2%
E 4
12.1%
I 4
12.1%
S 3
 
9.1%
C 3
 
9.1%
A 2
 
6.1%
T 2
 
6.1%
R 1
 
3.0%
D 1
 
3.0%
e 1
 
3.0%
Other values (4) 4
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4809
59.5%
ASCII 3267
40.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1279
39.1%
1 330
 
10.1%
2 207
 
6.3%
, 194
 
5.9%
0 188
 
5.8%
3 175
 
5.4%
4 133
 
4.1%
5 131
 
4.0%
6 109
 
3.3%
8 96
 
2.9%
Other values (22) 425
 
13.0%
Hangul
ValueCountFrequency (%)
인 329
 
6.8%
천 310
 
6.4%
시 294
 
6.1%
광 293
 
6.1%
역 293
 
6.1%
로 287
 
6.0%
구 287
 
6.0%
동 238
 
4.9%
길 134
 
2.8%
번 123
 
2.6%
Other values (275) 2221
46.2%
None
ValueCountFrequency (%)
～ 1
100.0%

Interactions

2024-01-28T14:04:47.227843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:04:51.592931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사회적목적유형업종군구
연번1.0000.8870.5630.3210.917
구분0.8871.0000.3450.1820.163
사회적목적유형0.5630.3451.0000.3740.191
업종0.3210.1820.3741.0000.344
군구0.9170.1630.1910.3441.000
2024-01-28T14:04:51.692592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종군구사회적목적유형구분
업종1.0000.1440.2020.101
군구0.1441.0000.0790.096
사회적목적유형0.2020.0791.0000.287
구분0.1010.0960.2871.000
2024-01-28T14:04:51.792515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사회적목적유형업종군구
연번1.0000.7510.2560.1290.525
구분0.7511.0000.2870.1010.096
사회적목적유형0.2560.2871.0000.2020.079
업종0.1290.1010.2021.0000.144
군구0.5250.0960.0790.1441.000

Missing values

2024-01-28T14:04:47.340897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:04:47.487967image/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.

Sample

연번구분기업명대표자사회적목적유형업종서비스내용군구주소(신주소)
01인증㈜정부물품재활용윤성구기타(창의·혁신)형재활용공공기관물품재활용, 사무용가구 등중구인천광역시 중구 서해대로 324
12인증㈜두손테크지금련,오상준일자리제공형청소건물위생관리, 경비, 방역 등중구인천광역시 중구 서해대로 483번길 68번지
23인증㈜인천개항장미진일자리제공형식품카페, 관광기념품, 체험중구인천광역시 중구 신포로23번길 83, 202호(중앙동1가)
34인증㈜해피크린방미호일자리제공형청소청소, 소독, 인테리어중구인천광역시 중구 개항로53번길 13
45인증사회적협동조합엠커뮤니티이명선일자리제공형교육복지 서비스중구인천광역시 중구 율목로 54, 2층
56인증㈜차이나브이중국어마을조경순사회서비스제공형교육중국문화체험, 중국진로체험중구인천광역시 중구 신포로23번길 80, 202~204호
67인증㈜한사랑 식판선생님지정호일자리제공형기타어린이집, 유치원 식판세척 소독배달업중구인천광역시 중구 도산로 17
78인증㈜풍성인더스호민재일자리제공형제조태양광발전장치, 전기공사, 금속창호 및 시설물공사, 경관조명설치중구인천광역시 중구 차이나타운로 27(북성동3가)
89인증㈜나눔동산남현호일자리제공형기타식자재, 생필품, 가전제품,전자상거래중구인천광역시 중구 모랫말로 36-22 운서동
910인증㈜카툰캠퍼스조희윤기타(창의·혁신)형문화예술아트상품 제조 판매업,디지털콘텐츠개발및소프트웨어,전시, 시각예술 및 문화기획, 편집중구인천광역시 중구 자유공원로 29
연번구분기업명대표자사회적목적유형업종서비스내용군구주소(신주소)
281282예비(부처형)㈜애드밸구혜은기타(창의·혁신)형교육난독증·다문화 어린이들의 읽기 개선을 위한 도서 출판, 콘텐츠 제작서구인천광역시 서구 염곡로464번길 15 801호
282283예비(부처형)㈜예인아트황용식사회서비스제공형문화예술지역사회 예술 공연, 예술 교육 사업, 챔버오케스트라, 챔버콰이어,오페라싱어즈,뮤지컬단,재즈앙상블 운영서구인천광역시 서구 염곡로464번길 158층
283284예비(부처형)㈜더하트컴퍼니박대은, 김민숙기타(창의·혁신)형기타저출산 문제 완화를 위한아기 엄마 대상의 커뮤니티 및 교육, 워크숍, 공간사업서구인천광역시 서구 보듬로 158, 미플존 221호(오류동, 블루텍)
284285예비(부처형)㈜우리동네사람들조정훈기타(창의·혁신)형기타부동산업, 임대업서구인천광역시 서구 검암로 10번길 17-4, 나동 401호(검암동, 조양휴캐슬)
285286예비(부처형)㈜티에스피바이오켐홍성대기타(창의·혁신)형제조친환경 바이오 화학 신소재 연구 개발 제조서구인천광역시 서구 정서진로 410 오류동환경벤처센처 D동 201호
286287예비(부처형)사단법인 미세먼지공해예방대책협의회채미석혼합형건설미세먼지나노방진망사업의 설치 운영, 미세먼지 연구 등서구인천광역시 서구 고산후로121번안길 18 원당동신도프라자 402-1호
287288예비(부처형)㈜엘스텍엔바이런먼트박승일기타(창의·혁신)형재활용보조(공학)기기 제조 폐트병 수거 재생 등서구인천광역시 서구 정서진로 410 오류동환경벤처센터 디216호
288289예비(부처형)㈜스타아트아카데미전진탁혼합형교육프라모델 전문 교육 문화 제공서구인천광역시 서구 새오개로111번안길 26 신현동, 5층
289290예비(부처형)㈜케어잇다임승환일자리제공형기타데이터베이스 및 온라인 정보 제공업,병원동행서비스서구인천광역시 서구 염곡로464번길 15 가정동 쓰리엠타워809호
290291예비(부처형)㈜지혜의광대김지혜기타(창의·혁신)형문화예술문화예술 공연 기획서구인천광역시 서구 염곡로464번길 15 가정동, 8층 809호