Overview

Dataset statistics

Number of variables9
Number of observations283
Missing cells140
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory73.5 B

Variable types

Numeric1
Categorical2
DateTime1
Text5

Dataset

Description충청남도에 위치하고 있는 사회적기업에 대한 자료입니다. 내용으로 기업명, 대표자, 업종, 주소에 대한 데이터가 있습니다.
URLhttps://www.data.go.kr/data/15063372/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
인증일자 has 139 (49.1%) missing valuesMissing
연번 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:03:02.964874
Analysis finished2023-12-12 18:03:04.248491
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142
Minimum1
Maximum283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T03:03:04.310869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.1
Q171.5
median142
Q3212.5
95-th percentile268.9
Maximum283
Range282
Interquartile range (IQR)141

Descriptive statistics

Standard deviation81.839273
Coefficient of variation (CV)0.57633291
Kurtosis-1.2
Mean142
Median Absolute Deviation (MAD)71
Skewness0
Sum40186
Variance6697.6667
MonotonicityStrictly increasing
2023-12-13T03:03:04.435550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
188 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
187 1
 
0.4%
196 1
 
0.4%
Other values (273) 273
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
인증
142 
예비(충남형)
81 
예비(부처형)
57 
예비(충남형/부처형)
 
3

Length

Max length11
Median length2
Mean length4.5335689
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 142
50.2%
예비(충남형) 81
28.6%
예비(부처형) 57
20.1%
예비(충남형/부처형) 3
 
1.1%

Length

2023-12-13T03:03:04.565211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:04.654307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 142
50.2%
예비(충남형 81
28.6%
예비(부처형 57
20.1%
예비(충남형/부처형 3
 
1.1%

인증일자
Date

MISSING 

Distinct65
Distinct (%)45.1%
Missing139
Missing (%)49.1%
Memory size2.3 KiB
Minimum2008-10-23 00:00:00
Maximum2023-03-30 00:00:00
2023-12-13T03:03:04.763439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:03:04.885240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지
Categorical

Distinct15
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
천안
56 
아산
51 
공주
22 
서산
21 
당진
20 
Other values (10)
113 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
천안 56
19.8%
아산 51
18.0%
공주 22
 
7.8%
서산 21
 
7.4%
당진 20
 
7.1%
서천 20
 
7.1%
논산 17
 
6.0%
홍성 16
 
5.7%
예산 15
 
5.3%
부여 12
 
4.2%
Other values (5) 33
11.7%

Length

2023-12-13T03:03:04.998002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안 56
19.8%
아산 51
18.0%
공주 22
 
7.8%
서산 21
 
7.4%
당진 20
 
7.1%
서천 20
 
7.1%
논산 17
 
6.0%
홍성 16
 
5.7%
예산 15
 
5.3%
부여 12
 
4.2%
Other values (5) 33
11.7%

기업명
Text

UNIQUE 

Distinct283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:03:05.164167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length16
Mean length9.6537102
Min length3

Characters and Unicode

Total characters2732
Distinct characters367
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)100.0%

Sample

1st row(사회복지법인)한숲복지재단
2nd row주식회사드림앤첼린지
3rd row㈜즐거운밥상
4th row㈜에이스잡
5th row주식회사 양원농장 농업회사법인
ValueCountFrequency (%)
주식회사 6
 
2.0%
사단법인 2
 
0.7%
사회적협동조합 2
 
0.7%
농업회사법인씨앗토리주식회사 1
 
0.3%
주)아우름교육 1
 
0.3%
주식회사냉이 1
 
0.3%
양지그린락협동조합 1
 
0.3%
농업회사법인주식회사마로만 1
 
0.3%
㈜이피씨 1
 
0.3%
주식회사마이렌(시흥시에서이전 1
 
0.3%
Other values (280) 280
94.3%
2023-12-13T03:03:05.566795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 203
 
7.4%
회 191
 
7.0%
주 153
 
5.6%
식 125
 
4.6%
합 93
 
3.4%
조 92
 
3.4%
동 80
 
2.9%
협 73
 
2.7%
인 72
 
2.6%
법 60
 
2.2%
Other values (357) 1590
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2609
95.5%
Close Punctuation 28
 
1.0%
Open Punctuation 28
 
1.0%
Other Symbol 22
 
0.8%
Uppercase Letter 16
 
0.6%
Space Separator 14
 
0.5%
Decimal Number 10
 
0.4%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 203
 
7.8%
회 191
 
7.3%
주 153
 
5.9%
식 125
 
4.8%
합 93
 
3.6%
조 92
 
3.5%
동 80
 
3.1%
협 73
 
2.8%
인 72
 
2.8%
법 60
 
2.3%
Other values (333) 1467
56.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
18.8%
D 2
12.5%
A 2
12.5%
T 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
O 1
 
6.2%
L 1
 
6.2%
Y 1
 
6.2%
M 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
0 2
20.0%
2 2
20.0%
1 2
20.0%
5 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
, 2
40.0%
& 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2631
96.3%
Common 85
 
3.1%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 203
 
7.7%
회 191
 
7.3%
주 153
 
5.8%
식 125
 
4.8%
합 93
 
3.5%
조 92
 
3.5%
동 80
 
3.0%
협 73
 
2.8%
인 72
 
2.7%
법 60
 
2.3%
Other values (334) 1489
56.6%
Latin
ValueCountFrequency (%)
C 3
18.8%
D 2
12.5%
A 2
12.5%
T 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
O 1
 
6.2%
L 1
 
6.2%
Y 1
 
6.2%
M 1
 
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
) 28
32.9%
( 28
32.9%
14
16.5%
3 3
 
3.5%
. 2
 
2.4%
, 2
 
2.4%
0 2
 
2.4%
2 2
 
2.4%
1 2
 
2.4%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2609
95.5%
ASCII 101
 
3.7%
None 22
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 203
 
7.8%
회 191
 
7.3%
주 153
 
5.9%
식 125
 
4.8%
합 93
 
3.6%
조 92
 
3.5%
동 80
 
3.1%
협 73
 
2.8%
인 72
 
2.8%
법 60
 
2.3%
Other values (333) 1467
56.2%
ASCII
ValueCountFrequency (%)
) 28
27.7%
( 28
27.7%
14
13.9%
3 3
 
3.0%
C 3
 
3.0%
. 2
 
2.0%
, 2
 
2.0%
D 2
 
2.0%
A 2
 
2.0%
0 2
 
2.0%
Other values (13) 15
14.9%
None
ValueCountFrequency (%)
㈜ 22
100.0%

대표자
Text

Distinct278
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:03:05.921989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1484099
Min length2

Characters and Unicode

Total characters891
Distinct characters162
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)96.5%

Sample

1st row서정만
2nd row윤승원(전, 임대열)
3rd row박찬무
4th row최태현
5th row강병석
ValueCountFrequency (%)
박원금 2
 
0.7%
박진용 2
 
0.7%
이수현 2
 
0.7%
이선영 2
 
0.7%
김기태 2
 
0.7%
서정만 1
 
0.3%
이병열 1
 
0.3%
명노희 1
 
0.3%
심미화 1
 
0.3%
김동욱 1
 
0.3%
Other values (272) 272
94.8%
2023-12-13T03:03:06.421252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 54
 
6.1%
이 46
 
5.2%
박 37
 
4.2%
정 34
 
3.8%
영 24
 
2.7%
윤 15
 
1.7%
희 15
 
1.7%
진 15
 
1.7%
현 14
 
1.6%
은 14
 
1.6%
Other values (152) 623
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 874
98.1%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Space Separator 4
 
0.4%
Other Punctuation 4
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 54
 
6.2%
이 46
 
5.3%
박 37
 
4.2%
정 34
 
3.9%
영 24
 
2.7%
윤 15
 
1.7%
희 15
 
1.7%
진 15
 
1.7%
현 14
 
1.6%
은 14
 
1.6%
Other values (147) 606
69.3%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
← 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 874
98.1%
Common 17
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 54
 
6.2%
이 46
 
5.3%
박 37
 
4.2%
정 34
 
3.9%
영 24
 
2.7%
윤 15
 
1.7%
희 15
 
1.7%
진 15
 
1.7%
현 14
 
1.6%
은 14
 
1.6%
Other values (147) 606
69.3%
Common
ValueCountFrequency (%)
) 4
23.5%
( 4
23.5%
4
23.5%
, 4
23.5%
← 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 874
98.1%
ASCII 16
 
1.8%
Arrows 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 54
 
6.2%
이 46
 
5.3%
박 37
 
4.2%
정 34
 
3.9%
영 24
 
2.7%
윤 15
 
1.7%
희 15
 
1.7%
진 15
 
1.7%
현 14
 
1.6%
은 14
 
1.6%
Other values (147) 606
69.3%
ASCII
ValueCountFrequency (%)
) 4
25.0%
( 4
25.0%
4
25.0%
, 4
25.0%
Arrows
ValueCountFrequency (%)
← 1
100.0%

주소
Text

Distinct281
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:03:06.724123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length20.731449
Min length10

Characters and Unicode

Total characters5867
Distinct characters280
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)98.6%

Sample

1st row천안시 동남구 통정7길 5-3
2nd row천안시 서북구 월봉로48 나사렛대학교 제2창학관 301호
3rd row천안시 동남구 목천읍 관동마을길 37
4th row천안시 서북구 성환읍 천안대로 2197, 1층
5th row천안시 동남구 풍세면 금호1길 136
ValueCountFrequency (%)
천안시 57
 
4.5%
아산시 50
 
4.0%
동남구 28
 
2.2%
서북구 28
 
2.2%
충청남도 22
 
1.8%
공주시 22
 
1.8%
서산시 21
 
1.7%
서천군 20
 
1.6%
당진시 19
 
1.5%
논산시 17
 
1.4%
Other values (693) 970
77.4%
2023-12-13T03:03:07.194124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
 
16.9%
1 288
 
4.9%
시 215
 
3.7%
2 212
 
3.6%
로 183
 
3.1%
산 176
 
3.0%
3 156
 
2.7%
길 151
 
2.6%
0 122
 
2.1%
4 118
 
2.0%
Other values (270) 3257
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3298
56.2%
Decimal Number 1254
 
21.4%
Space Separator 989
 
16.9%
Dash Punctuation 104
 
1.8%
Other Punctuation 100
 
1.7%
Close Punctuation 58
 
1.0%
Open Punctuation 58
 
1.0%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 215
 
6.5%
로 183
 
5.5%
산 176
 
5.3%
길 151
 
4.6%
동 115
 
3.5%
천 111
 
3.4%
면 95
 
2.9%
서 93
 
2.8%
군 87
 
2.6%
안 79
 
2.4%
Other values (249) 1993
60.4%
Decimal Number
ValueCountFrequency (%)
1 288
23.0%
2 212
16.9%
3 156
12.4%
0 122
9.7%
4 118
9.4%
6 95
 
7.6%
5 91
 
7.3%
7 70
 
5.6%
9 54
 
4.3%
8 48
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
P 1
20.0%
A 1
20.0%
B 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
989
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3298
56.2%
Common 2564
43.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 215
 
6.5%
로 183
 
5.5%
산 176
 
5.3%
길 151
 
4.6%
동 115
 
3.5%
천 111
 
3.4%
면 95
 
2.9%
서 93
 
2.8%
군 87
 
2.6%
안 79
 
2.4%
Other values (249) 1993
60.4%
Common
ValueCountFrequency (%)
989
38.6%
1 288
 
11.2%
2 212
 
8.3%
3 156
 
6.1%
0 122
 
4.8%
4 118
 
4.6%
- 104
 
4.1%
, 100
 
3.9%
6 95
 
3.7%
5 91
 
3.5%
Other values (6) 289
 
11.3%
Latin
ValueCountFrequency (%)
D 1
20.0%
P 1
20.0%
A 1
20.0%
B 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3298
56.2%
ASCII 2569
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
38.5%
1 288
 
11.2%
2 212
 
8.3%
3 156
 
6.1%
0 122
 
4.7%
4 118
 
4.6%
- 104
 
4.0%
, 100
 
3.9%
6 95
 
3.7%
5 91
 
3.5%
Other values (11) 294
 
11.4%
Hangul
ValueCountFrequency (%)
시 215
 
6.5%
로 183
 
5.5%
산 176
 
5.3%
길 151
 
4.6%
동 115
 
3.5%
천 111
 
3.4%
면 95
 
2.9%
서 93
 
2.8%
군 87
 
2.6%
안 79
 
2.4%
Other values (249) 1993
60.4%

사업유형
Text

Distinct55
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T03:03:07.426221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length5.6749117
Min length2

Characters and Unicode

Total characters1606
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)6.4%

Sample

1st row돌봄
2nd row청소
3rd row먹거리
4th row청소
5th row농산물가공
ValueCountFrequency (%)
및 57
 
12.1%
교육 34
 
7.2%
도매 26
 
5.5%
서비스 24
 
5.1%
제조업 23
 
4.9%
소매업 22
 
4.7%
서비스업 21
 
4.4%
청소 20
 
4.2%
문화예술 17
 
3.6%
제조 13
 
2.8%
Other values (55) 215
45.6%
2023-12-13T03:03:07.872660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
12.1%
업 161
 
10.0%
스 77
 
4.8%
서 71
 
4.4%
비 71
 
4.4%
매 58
 
3.6%
및 57
 
3.5%
소 52
 
3.2%
제 40
 
2.5%
조 39
 
2.4%
Other values (87) 786
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
80.7%
Space Separator 194
 
12.1%
Other Punctuation 34
 
2.1%
Open Punctuation 27
 
1.7%
Close Punctuation 27
 
1.7%
Uppercase Letter 27
 
1.7%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 161
 
12.4%
스 77
 
5.9%
서 71
 
5.5%
비 71
 
5.5%
매 58
 
4.5%
및 57
 
4.4%
소 52
 
4.0%
제 40
 
3.1%
조 39
 
3.0%
교 38
 
2.9%
Other values (75) 632
48.8%
Uppercase Letter
ValueCountFrequency (%)
R 5
18.5%
H 4
14.8%
G 4
14.8%
Q 4
14.8%
P 4
14.8%
C 3
11.1%
J 3
11.1%
Space Separator
ValueCountFrequency (%)
194
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1296
80.7%
Common 283
 
17.6%
Latin 27
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 161
 
12.4%
스 77
 
5.9%
서 71
 
5.5%
비 71
 
5.5%
매 58
 
4.5%
및 57
 
4.4%
소 52
 
4.0%
제 40
 
3.1%
조 39
 
3.0%
교 38
 
2.9%
Other values (75) 632
48.8%
Latin
ValueCountFrequency (%)
R 5
18.5%
H 4
14.8%
G 4
14.8%
Q 4
14.8%
P 4
14.8%
C 3
11.1%
J 3
11.1%
Common
ValueCountFrequency (%)
194
68.6%
, 34
 
12.0%
( 27
 
9.5%
) 27
 
9.5%
® 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1295
80.6%
ASCII 309
 
19.2%
None 1
 
0.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
62.8%
, 34
 
11.0%
( 27
 
8.7%
) 27
 
8.7%
R 5
 
1.6%
H 4
 
1.3%
G 4
 
1.3%
Q 4
 
1.3%
P 4
 
1.3%
C 3
 
1.0%
Hangul
ValueCountFrequency (%)
업 161
 
12.4%
스 77
 
5.9%
서 71
 
5.5%
비 71
 
5.5%
매 58
 
4.5%
및 57
 
4.4%
소 52
 
4.0%
제 40
 
3.1%
조 39
 
3.0%
교 38
 
2.9%
Other values (74) 631
48.7%
None
ValueCountFrequency (%)
® 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

사업내용
Text

Distinct275
Distinct (%)97.5%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
2023-12-13T03:03:08.235548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length33
Mean length16.507092
Min length2

Characters and Unicode

Total characters4655
Distinct characters389
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)95.0%

Sample

1st row노인재가요양,밑반찬배달사업 등
2nd row청소용역, 여행업,식품접객업 등
3rd row도시락 제조 판매
4th row위생관리, 소독, 경비
5th row작물 재배 및 가공판매
ValueCountFrequency (%)
및 66
 
5.8%
판매 46
 
4.1%
등 43
 
3.8%
제조 24
 
2.1%
운영 18
 
1.6%
교육 16
 
1.4%
농산물 15
 
1.3%
개발 11
 
1.0%
사업 10
 
0.9%
생산 10
 
0.9%
Other values (645) 874
77.1%
2023-12-13T03:03:08.797619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
860
 
18.5%
, 202
 
4.3%
업 94
 
2.0%
매 82
 
1.8%
판 78
 
1.7%
제 75
 
1.6%
공 72
 
1.5%
사 71
 
1.5%
및 67
 
1.4%
물 64
 
1.4%
Other values (379) 2990
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3545
76.2%
Space Separator 860
 
18.5%
Other Punctuation 217
 
4.7%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Lowercase Letter 6
 
0.1%
Uppercase Letter 4
 
0.1%
Decimal Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 94
 
2.7%
매 82
 
2.3%
판 78
 
2.2%
제 75
 
2.1%
공 72
 
2.0%
사 71
 
2.0%
및 67
 
1.9%
물 64
 
1.8%
산 61
 
1.7%
지 59
 
1.7%
Other values (358) 2822
79.6%
Other Punctuation
ValueCountFrequency (%)
, 202
93.1%
· 11
 
5.1%
/ 2
 
0.9%
? 1
 
0.5%
. 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
p 2
33.3%
c 2
33.3%
t 1
16.7%
v 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
M 1
25.0%
E 1
25.0%
O 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
860
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3545
76.2%
Common 1100
 
23.6%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 94
 
2.7%
매 82
 
2.3%
판 78
 
2.2%
제 75
 
2.1%
공 72
 
2.0%
사 71
 
2.0%
및 67
 
1.9%
물 64
 
1.8%
산 61
 
1.7%
지 59
 
1.7%
Other values (358) 2822
79.6%
Common
ValueCountFrequency (%)
860
78.2%
, 202
 
18.4%
· 11
 
1.0%
( 9
 
0.8%
) 9
 
0.8%
/ 2
 
0.2%
? 1
 
0.1%
. 1
 
0.1%
+ 1
 
0.1%
0 1
 
0.1%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
p 2
20.0%
c 2
20.0%
A 1
10.0%
M 1
10.0%
E 1
10.0%
O 1
10.0%
t 1
10.0%
v 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3545
76.2%
ASCII 1097
 
23.6%
None 11
 
0.2%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
860
78.4%
, 202
 
18.4%
( 9
 
0.8%
) 9
 
0.8%
/ 2
 
0.2%
p 2
 
0.2%
c 2
 
0.2%
? 1
 
0.1%
A 1
 
0.1%
M 1
 
0.1%
Other values (8) 8
 
0.7%
Hangul
ValueCountFrequency (%)
업 94
 
2.7%
매 82
 
2.3%
판 78
 
2.2%
제 75
 
2.1%
공 72
 
2.0%
사 71
 
2.0%
및 67
 
1.9%
물 64
 
1.8%
산 61
 
1.7%
지 59
 
1.7%
Other values (358) 2822
79.6%
None
ValueCountFrequency (%)
· 11
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

Interactions

2023-12-13T03:03:03.836812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:03:08.928051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분인증일자소재지사업유형
연번1.0000.9130.0000.8380.681
구분0.9131.0000.0000.0000.710
인증일자0.0000.0001.0000.7540.000
소재지0.8380.0000.7541.0000.593
사업유형0.6810.7100.0000.5931.000
2023-12-13T03:03:09.056705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소재지
구분1.0000.000
소재지0.0001.000
2023-12-13T03:03:09.160328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분소재지
연번1.0000.7960.498
구분0.7961.0000.000
소재지0.4980.0001.000

Missing values

2023-12-13T03:03:03.964350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:03:04.096434image/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.
2023-12-13T03:03:04.198025image/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

연번구분인증일자소재지기업명대표자주소사업유형사업내용
01인증2008-10-23천안(사회복지법인)한숲복지재단서정만천안시 동남구 통정7길 5-3돌봄노인재가요양,밑반찬배달사업 등
12인증2012-06-22천안주식회사드림앤첼린지윤승원(전, 임대열)천안시 서북구 월봉로48 나사렛대학교 제2창학관 301호청소청소용역, 여행업,식품접객업 등
23인증2012-09-07천안㈜즐거운밥상박찬무천안시 동남구 목천읍 관동마을길 37먹거리도시락 제조 판매
34인증2012-12-14천안㈜에이스잡최태현천안시 서북구 성환읍 천안대로 2197, 1층청소위생관리, 소독, 경비
45인증2013-07-11천안주식회사 양원농장 농업회사법인강병석천안시 동남구 풍세면 금호1길 136농산물가공작물 재배 및 가공판매
56인증2013-09-09천안한길코리아주식회사윤택영천안시 서북구 천안대로 1346-8문화예술이벤트 기획 및 진행
67인증2013-11-18천안주식회사천안주거복지센터천명순천안시 동남구 삼룡천2길 23건설주택집수리 사업
78인증2014-03-13천안주식회사나눔커뮤니케이션최영준천안시 서북구 직산읍 직산로 110 천안SB플라자 3층서비스인터넷홍보? 마케팅,인터넷쇼핑몰 운영대행
89인증2015-03-31천안영농조합법인천안시농특산물유통사업단김지동천안시 동남구 풍세면 광풍로1056농산물가공로컬푸드 사업
910인증2017-05-10천안사회적협동조합우리동네최지웅천안시 서북구 늘푸른3길 37 홍은빌딩 4층서비스지역정보플랫폼 모두와 어플사업
연번구분인증일자소재지기업명대표자주소사업유형사업내용
273274예비(부처형)<NA>예산농업회사법인내포주식회사박형예산군 봉산면 봉산로 60-2도매 및 소매업(G)식물성 유지류 제조
274275예비(부처형)<NA>예산주식회사문화농장민광석충청남도 예산군 예산읍 벚꽃로 230예술, 스포츠 및 여가관련 서비스업(R)문화예술서비스, 연극·음악 예술공연
275276예비(부처형)<NA>예산푸코협동조합강혜련예산군 예산읍 대학로31번길, 1제조업도시락, 반찬
276277예비(부처형)<NA>예산주식회사더하기서은조충청남도 예산군 삽교읍 청사로 217, 1차 105호도매 및 소매업폐가죽, 폐원단 활용 교육 및 상품 제작 판매
277278예비(부처형)<NA>예산주식회사히즐박소희충청남도 예산군 예산읍 벚꽃로155번길 6음식점업예산 사과(낙과, 파과)활용 사과 디저트 판매
278279예비(부처형)<NA>태안주식회사마카네이쳐정태연태안군 태안읍 동문5길6, 1층환경제로 웨이스트 친환경상품 제조
279280예비(부처형)<NA>태안주식회사토로김은지충청남도 태안군 태안읍 군청로 24, 2층음식점업예산 사과(낙과, 파과)활용 사과 디저트 판매
280281예비(충남형/부처형)<NA>천안광덕산환경교육센터차수철천안시 동남구 광덕면 안심대길 50, 광덕산환경교육센터교육 서비스업(P)환경교육, 환경교육지도사 양성 및 활용
281282예비(충남형/부처형)<NA>공주마을호텔주식회사박우린공주시 제민천1길 55, 1층,3층도매 및 소매업(G)독립서점 및 카페 운영, 지역기반 콘텐츠 개발 및 공간 개선, 운영
282283예비(충남형/부처형)<NA>예산농업회사법인㈜한국특산물유통박경호예산군 응봉면 평촌세곡길 46-1도매 및 소매업전국 특산물 도매 및 소매