Overview

Dataset statistics

Number of variables10
Number of observations419
Missing cells312
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.9 KiB
Average record size in memory80.3 B

Variable types

Categorical5
Text4
DateTime1

Dataset

Description제주특별자치도에 소재하고 있는 협동조합(조직단체)과 관련한 데이터로 조합명, 업종, 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3082766/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 구분High correlation
유형 is highly overall correlated with 구분High correlation
대표연락처 has 254 (60.6%) missing valuesMissing
주요사업 has 57 (13.6%) missing valuesMissing
협동조합명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:54:41.307462
Analysis finished2023-12-12 03:54:43.054570
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
일반협동조합
347 
사회적협동조합
72 

Length

Max length7
Median length6
Mean length6.1718377
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반협동조합 347
82.8%
사회적협동조합 72
 
17.2%

Length

2023-12-12T12:54:43.160506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:43.330530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반협동조합 347
82.8%
사회적협동조합 72
 
17.2%

협동조합명
Text

UNIQUE 

Distinct419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:54:43.667414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length10.725537
Min length6

Characters and Unicode

Total characters4494
Distinct characters436
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)100.0%

Sample

1st row월평도시골협동조합
2nd row탐나출판인쇄협동조합
3rd row한국말조련협동조합
4th row제주안경사협동조합
5th row제주사랑협동조합
ValueCountFrequency (%)
협동조합 105
 
16.7%
사회적협동조합 54
 
8.6%
마을관리 4
 
0.6%
마을 3
 
0.5%
제주특별자치도 3
 
0.5%
혼디 2
 
0.3%
제주 2
 
0.3%
우리 2
 
0.3%
함께하는 2
 
0.3%
삶담협동조합 1
 
0.2%
Other values (450) 450
71.7%
2023-12-12T12:54:44.314556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 438
 
9.7%
합 427
 
9.5%
조 423
 
9.4%
협 421
 
9.4%
209
 
4.7%
제 176
 
3.9%
주 175
 
3.9%
사 93
 
2.1%
회 78
 
1.7%
적 73
 
1.6%
Other values (426) 1981
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4252
94.6%
Space Separator 209
 
4.7%
Uppercase Letter 18
 
0.4%
Lowercase Letter 8
 
0.2%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 438
 
10.3%
합 427
 
10.0%
조 423
 
9.9%
협 421
 
9.9%
제 176
 
4.1%
주 175
 
4.1%
사 93
 
2.2%
회 78
 
1.8%
적 73
 
1.7%
마 50
 
1.2%
Other values (405) 1898
44.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
16.7%
C 3
16.7%
J 2
11.1%
A 2
11.1%
R 2
11.1%
W 1
 
5.6%
S 1
 
5.6%
H 1
 
5.6%
U 1
 
5.6%
V 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
37.5%
e 2
25.0%
p 1
 
12.5%
u 1
 
12.5%
s 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
: 1
33.3%
Space Separator
ValueCountFrequency (%)
209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4251
94.6%
Common 216
 
4.8%
Latin 26
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 438
 
10.3%
합 427
 
10.0%
조 423
 
10.0%
협 421
 
9.9%
제 176
 
4.1%
주 175
 
4.1%
사 93
 
2.2%
회 78
 
1.8%
적 73
 
1.7%
마 50
 
1.2%
Other values (404) 1897
44.6%
Latin
ValueCountFrequency (%)
E 3
11.5%
o 3
11.5%
C 3
11.5%
J 2
 
7.7%
A 2
 
7.7%
R 2
 
7.7%
e 2
 
7.7%
W 1
 
3.8%
S 1
 
3.8%
p 1
 
3.8%
Other values (6) 6
23.1%
Common
ValueCountFrequency (%)
209
96.8%
( 2
 
0.9%
) 2
 
0.9%
. 2
 
0.9%
: 1
 
0.5%
Han
ValueCountFrequency (%)
樂 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4251
94.6%
ASCII 242
 
5.4%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 438
 
10.3%
합 427
 
10.0%
조 423
 
10.0%
협 421
 
9.9%
제 176
 
4.1%
주 175
 
4.1%
사 93
 
2.2%
회 78
 
1.8%
적 73
 
1.7%
마 50
 
1.2%
Other values (404) 1897
44.6%
ASCII
ValueCountFrequency (%)
209
86.4%
E 3
 
1.2%
o 3
 
1.2%
C 3
 
1.2%
( 2
 
0.8%
J 2
 
0.8%
) 2
 
0.8%
A 2
 
0.8%
R 2
 
0.8%
. 2
 
0.8%
Other values (11) 12
 
5.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

수리(인가)일
Date

Distinct355
Distinct (%)84.9%
Missing1
Missing (%)0.2%
Memory size3.4 KiB
Minimum2013-01-30 00:00:00
Maximum2023-07-07 00:00:00
2023-12-12T12:54:44.560760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:54:44.868314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표연락처
Text

MISSING 

Distinct164
Distinct (%)99.4%
Missing254
Missing (%)60.6%
Memory size3.4 KiB
2023-12-12T12:54:45.530553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.09697
Min length9

Characters and Unicode

Total characters1996
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

Unique163 ?
Unique (%)98.8%

Sample

1st row064-739-7471
2nd row064-756-3817
3rd row064-757-9285
4th row064-712-1117
5th row064-748-9114
ValueCountFrequency (%)
064-721-2139 2
 
1.2%
064-782-1746 1
 
0.6%
064-721-4423 1
 
0.6%
064-739-7471 1
 
0.6%
064-756-8804 1
 
0.6%
064-732-7677 1
 
0.6%
064-784-8404 1
 
0.6%
064-900-2595 1
 
0.6%
064-713-3333 1
 
0.6%
064-702-0822 1
 
0.6%
Other values (154) 154
93.3%
2023-12-12T12:54:46.440390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 326
16.3%
0 294
14.7%
4 263
13.2%
7 249
12.5%
6 217
10.9%
2 122
 
6.1%
1 122
 
6.1%
5 111
 
5.6%
8 105
 
5.3%
3 97
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1670
83.7%
Dash Punctuation 326
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
17.6%
4 263
15.7%
7 249
14.9%
6 217
13.0%
2 122
7.3%
1 122
7.3%
5 111
 
6.6%
8 105
 
6.3%
3 97
 
5.8%
9 90
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 326
16.3%
0 294
14.7%
4 263
13.2%
7 249
12.5%
6 217
10.9%
2 122
 
6.1%
1 122
 
6.1%
5 111
 
5.6%
8 105
 
5.3%
3 97
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 326
16.3%
0 294
14.7%
4 263
13.2%
7 249
12.5%
6 217
10.9%
2 122
 
6.1%
1 122
 
6.1%
5 111
 
5.6%
8 105
 
5.3%
3 97
 
4.9%

업종
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
농업·어업 및 임업
60 
교육 서비스업
56 
도매 및 소매업
54 
예술·스포츠 및 여가관련 서비스업
45 
보건업 및 사회복지서비스업
33 
Other values (18)
171 

Length

Max length31
Median length19
Mean length11.171838
Min length3

Unique

Unique4 ?
Unique (%)1.0%

Sample

1st row농업·어업 및 임업
2nd row출판·영상·방송통신 및 정보서비스업
3rd row농업·어업 및 임업
4th row협회 및 단체 수리 및 기타 개인 서비스업
5th row농업·어업 및 임업

Common Values

ValueCountFrequency (%)
농업·어업 및 임업 60
14.3%
교육 서비스업 56
13.4%
도매 및 소매업 54
12.9%
예술·스포츠 및 여가관련 서비스업 45
10.7%
보건업 및 사회복지서비스업 33
7.9%
제조업 31
 
7.4%
운수업 17
 
4.1%
부동산업 및 임대업 15
 
3.6%
숙박 및 음식점업 15
 
3.6%
출판·영상·방송통신 및 정보서비스업 15
 
3.6%
Other values (13) 78
18.6%

Length

2023-12-12T12:54:46.823894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 319
25.1%
서비스업 153
12.1%
임업 63
 
5.0%
농업·어업 60
 
4.7%
여가관련 58
 
4.6%
교육 56
 
4.4%
소매업 54
 
4.3%
도매 54
 
4.3%
예술·스포츠 45
 
3.5%
보건업 33
 
2.6%
Other values (48) 374
29.5%

유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
사업자
230 
다중이해관계자
140 
소비자
25 
직원
 
23
<NA>
 
1

Length

Max length7
Median length3
Mean length4.2840095
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
사업자 230
54.9%
다중이해관계자 140
33.4%
소비자 25
 
6.0%
직원 23
 
5.5%
<NA> 1
 
0.2%

Length

2023-12-12T12:54:47.132592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:47.357387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 230
54.9%
다중이해관계자 140
33.4%
소비자 25
 
6.0%
직원 23
 
5.5%
na 1
 
0.2%

주요사업
Text

MISSING 

Distinct361
Distinct (%)99.7%
Missing57
Missing (%)13.6%
Memory size3.4 KiB
2023-12-12T12:54:47.935377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length477
Median length178
Mean length62.071823
Min length2

Characters and Unicode

Total characters22470
Distinct characters501
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)99.4%

Sample

1st row월평 농산물 유통사업 월평 유휴 공간 활용 월평 문화사업
2nd row인쇄물 수주에 관한 사업(인쇄·출판·간행물·디자인 등)
3rd row마필조련 및 육성사업식용마 비육탁사업
4th row안경 공동브랜드사업·안경 공동 마케팅사업안경유통 및 공동판매사업
5th row농수축산물 유통사업
ValueCountFrequency (%)
및 476
 
9.1%
사업 459
 
8.8%
위한 199
 
3.8%
등 89
 
1.7%
80
 
1.5%
홍보 79
 
1.5%
대한 77
 
1.5%
정보제공 71
 
1.4%
협력을 71
 
1.4%
지역사회를 70
 
1.3%
Other values (1738) 3545
68.0%
2023-12-12T12:54:48.821157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4855
 
21.6%
업 1102
 
4.9%
사 1042
 
4.6%
· 606
 
2.7%
및 481
 
2.1%
한 346
 
1.5%
조 329
 
1.5%
공 293
 
1.3%
지 288
 
1.3%
합 275
 
1.2%
Other values (491) 12853
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16210
72.1%
Space Separator 4855
 
21.6%
Other Punctuation 880
 
3.9%
Decimal Number 283
 
1.3%
Dash Punctuation 79
 
0.4%
Close Punctuation 68
 
0.3%
Open Punctuation 58
 
0.3%
Uppercase Letter 20
 
0.1%
Other Symbol 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1102
 
6.8%
사 1042
 
6.4%
및 481
 
3.0%
한 346
 
2.1%
조 329
 
2.0%
공 293
 
1.8%
지 288
 
1.8%
합 275
 
1.7%
제 258
 
1.6%
원 253
 
1.6%
Other values (458) 11543
71.2%
Decimal Number
ValueCountFrequency (%)
1 64
22.6%
2 47
16.6%
3 44
15.5%
4 34
12.0%
5 28
9.9%
6 25
 
8.8%
7 16
 
5.7%
8 12
 
4.2%
9 7
 
2.5%
0 6
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
20.0%
C 4
20.0%
A 3
15.0%
S 2
10.0%
I 2
10.0%
E 1
 
5.0%
M 1
 
5.0%
V 1
 
5.0%
P 1
 
5.0%
H 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
· 606
68.9%
. 257
29.2%
: 8
 
0.9%
/ 5
 
0.6%
; 3
 
0.3%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 54
79.4%
】 14
 
20.6%
Open Punctuation
ValueCountFrequency (%)
( 44
75.9%
【 14
 
24.1%
Space Separator
ValueCountFrequency (%)
4855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Other Symbol
ValueCountFrequency (%)
○ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16210
72.1%
Common 6240
 
27.8%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1102
 
6.8%
사 1042
 
6.4%
및 481
 
3.0%
한 346
 
2.1%
조 329
 
2.0%
공 293
 
1.8%
지 288
 
1.8%
합 275
 
1.7%
제 258
 
1.6%
원 253
 
1.6%
Other values (458) 11543
71.2%
Common
ValueCountFrequency (%)
4855
77.8%
· 606
 
9.7%
. 257
 
4.1%
- 79
 
1.3%
1 64
 
1.0%
) 54
 
0.9%
2 47
 
0.8%
( 44
 
0.7%
3 44
 
0.7%
4 34
 
0.5%
Other values (13) 156
 
2.5%
Latin
ValueCountFrequency (%)
T 4
20.0%
C 4
20.0%
A 3
15.0%
S 2
10.0%
I 2
10.0%
E 1
 
5.0%
M 1
 
5.0%
V 1
 
5.0%
P 1
 
5.0%
H 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16209
72.1%
ASCII 5609
 
25.0%
None 634
 
2.8%
Geometric Shapes 17
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4855
86.6%
. 257
 
4.6%
- 79
 
1.4%
1 64
 
1.1%
) 54
 
1.0%
2 47
 
0.8%
( 44
 
0.8%
3 44
 
0.8%
4 34
 
0.6%
5 28
 
0.5%
Other values (19) 103
 
1.8%
Hangul
ValueCountFrequency (%)
업 1102
 
6.8%
사 1042
 
6.4%
및 481
 
3.0%
한 346
 
2.1%
조 329
 
2.0%
공 293
 
1.8%
지 288
 
1.8%
합 275
 
1.7%
제 258
 
1.6%
원 253
 
1.6%
Other values (457) 11542
71.2%
None
ValueCountFrequency (%)
· 606
95.6%
【 14
 
2.2%
】 14
 
2.2%
Geometric Shapes
ValueCountFrequency (%)
○ 17
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

주소
Text

Distinct416
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T12:54:49.211021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length27.768496
Min length18

Characters and Unicode

Total characters11635
Distinct characters271
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)98.6%

Sample

1st row제주특별자치도 서귀포시 월평동 747번지 3호
2nd row제주특별자치도 제주시 동광로5길 28 (이도일동)
3rd row제주특별자치도 제주시 애월읍 항몽로 236
4th row제주특별자치도 제주시 서광로 236-1 (삼도일동)
5th row제주특별자치도 제주시 도근내길 9 (외도이동)
ValueCountFrequency (%)
제주특별자치도 419
 
18.5%
제주시 335
 
14.8%
서귀포시 84
 
3.7%
2층 35
 
1.5%
1층 27
 
1.2%
조천읍 23
 
1.0%
노형동 22
 
1.0%
애월읍 21
 
0.9%
이도이동 20
 
0.9%
한림읍 18
 
0.8%
Other values (740) 1256
55.6%
2023-12-12T12:54:49.879908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1841
 
15.8%
주 774
 
6.7%
제 766
 
6.6%
도 546
 
4.7%
자 425
 
3.7%
시 423
 
3.6%
치 420
 
3.6%
별 419
 
3.6%
특 419
 
3.6%
1 354
 
3.0%
Other values (261) 5248
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7670
65.9%
Space Separator 1841
 
15.8%
Decimal Number 1498
 
12.9%
Close Punctuation 255
 
2.2%
Open Punctuation 255
 
2.2%
Dash Punctuation 107
 
0.9%
Uppercase Letter 7
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 774
 
10.1%
제 766
 
10.0%
도 546
 
7.1%
자 425
 
5.5%
시 423
 
5.5%
치 420
 
5.5%
별 419
 
5.5%
특 419
 
5.5%
동 316
 
4.1%
로 294
 
3.8%
Other values (241) 2868
37.4%
Decimal Number
ValueCountFrequency (%)
1 354
23.6%
2 244
16.3%
3 177
11.8%
4 139
 
9.3%
5 116
 
7.7%
6 109
 
7.3%
0 103
 
6.9%
7 97
 
6.5%
8 89
 
5.9%
9 70
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
C 2
28.6%
J 1
 
14.3%
K 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
1841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7670
65.9%
Common 3958
34.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 774
 
10.1%
제 766
 
10.0%
도 546
 
7.1%
자 425
 
5.5%
시 423
 
5.5%
치 420
 
5.5%
별 419
 
5.5%
특 419
 
5.5%
동 316
 
4.1%
로 294
 
3.8%
Other values (241) 2868
37.4%
Common
ValueCountFrequency (%)
1841
46.5%
1 354
 
8.9%
) 255
 
6.4%
( 255
 
6.4%
2 244
 
6.2%
3 177
 
4.5%
4 139
 
3.5%
5 116
 
2.9%
6 109
 
2.8%
- 107
 
2.7%
Other values (6) 361
 
9.1%
Latin
ValueCountFrequency (%)
B 3
42.9%
C 2
28.6%
J 1
 
14.3%
K 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7670
65.9%
ASCII 3965
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1841
46.4%
1 354
 
8.9%
) 255
 
6.4%
( 255
 
6.4%
2 244
 
6.2%
3 177
 
4.5%
4 139
 
3.5%
5 116
 
2.9%
6 109
 
2.7%
- 107
 
2.7%
Other values (10) 368
 
9.3%
Hangul
ValueCountFrequency (%)
주 774
 
10.1%
제 766
 
10.0%
도 546
 
7.1%
자 425
 
5.5%
시 423
 
5.5%
치 420
 
5.5%
별 419
 
5.5%
특 419
 
5.5%
동 316
 
4.1%
로 294
 
3.8%
Other values (241) 2868
37.4%

행정시
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
제주시
337 
서귀포시
82 

Length

Max length4
Median length3
Mean length3.1957041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서귀포시
2nd row제주시
3rd row제주시
4th row제주시
5th row제주시

Common Values

ValueCountFrequency (%)
제주시 337
80.4%
서귀포시 82
 
19.6%

Length

2023-12-12T12:54:50.096507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:50.325719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 337
80.4%
서귀포시 82
 
19.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-08-02
419 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-02
2nd row2023-08-02
3rd row2023-08-02
4th row2023-08-02
5th row2023-08-02

Common Values

ValueCountFrequency (%)
2023-08-02 419
100.0%

Length

2023-12-12T12:54:50.539508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:50.678980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-02 419
100.0%

Correlations

2023-12-12T12:54:50.780854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종유형행정시
구분1.0000.7950.8430.000
업종0.7951.0000.4790.120
유형0.8430.4791.0000.162
행정시0.0000.1200.1621.000
2023-12-12T12:54:50.916624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종행정시유형
구분1.0000.7000.0000.638
업종0.7001.0000.1010.268
행정시0.0000.1011.0000.107
유형0.6380.2680.1071.000
2023-12-12T12:54:51.059697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종유형행정시
구분1.0000.7000.6380.000
업종0.7001.0000.2680.101
유형0.6380.2681.0000.107
행정시0.0000.1010.1071.000

Missing values

2023-12-12T12:54:42.465474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:54:42.716740image/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.
2023-12-12T12:54:42.951153image/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

구분협동조합명수리(인가)일대표연락처업종유형주요사업주소행정시데이터기준일자
0일반협동조합월평도시골협동조합2013-01-30064-739-7471농업·어업 및 임업사업자월평 농산물 유통사업 월평 유휴 공간 활용 월평 문화사업제주특별자치도 서귀포시 월평동 747번지 3호서귀포시2023-08-02
1일반협동조합탐나출판인쇄협동조합2013-03-12064-756-3817출판·영상·방송통신 및 정보서비스업사업자인쇄물 수주에 관한 사업(인쇄·출판·간행물·디자인 등)제주특별자치도 제주시 동광로5길 28 (이도일동)제주시2023-08-02
2일반협동조합한국말조련협동조합2013-03-12<NA>농업·어업 및 임업사업자마필조련 및 육성사업식용마 비육탁사업제주특별자치도 제주시 애월읍 항몽로 236제주시2023-08-02
3일반협동조합제주안경사협동조합2013-03-12064-757-9285협회 및 단체 수리 및 기타 개인 서비스업사업자안경 공동브랜드사업·안경 공동 마케팅사업안경유통 및 공동판매사업제주특별자치도 제주시 서광로 236-1 (삼도일동)제주시2023-08-02
4일반협동조합제주사랑협동조합2013-03-15064-712-1117농업·어업 및 임업사업자농수축산물 유통사업제주특별자치도 제주시 도근내길 9 (외도이동)제주시2023-08-02
5일반협동조합제주부동산협동조합2013-03-25064-748-9114부동산업 및 임대업사업자조합원의 광고업무 수입 및 광고료 협상·광고대행인터넷 중개정보망의 운영생활정보지 발간·분양대행사업 등제주특별자치도 제주시 청사로1길 16 3층 (도남동)제주시2023-08-02
6일반협동조합행복나눔마트협동조합2013-03-25064-743-2486도매 및 소매업직원할인점 및 슈퍼마켓·생활필수품 판매업물류배송업·창고업·택배업제주특별자치도 제주시 원노형로 46 1층 (노형동 태평빌딩)제주시2023-08-02
7일반협동조합공작소 쇠와 꽃 협동조합2013-03-25064-784-4125제조업소비자공작소사업·농산물 유통 제조제주특별자치도 서귀포시 성산읍 금백조로 86서귀포시2023-08-02
8일반협동조합제주자유여행 협동조합2013-04-05070-8147-5055예술·스포츠 및 여가관련 서비스업직원중국어통역서비스다문화 가정 상담 및 자원봉사한국 관광발전을 위한 홍보사업한중 교류을 위한 사업제주특별자치도 제주시 노연로 38 802호 (노형동재영윈저캐슬)제주시2023-08-02
9일반협동조합용수리마을협동조합2013-05-08<NA>농업·어업 및 임업소비자풀마늘 등 농산물 공동생산·가공출하사업소라·새우 등 수산물 가공출하사업제주특별자치도 제주시 한경면 용수길 75제주시2023-08-02
구분협동조합명수리(인가)일대표연락처업종유형주요사업주소행정시데이터기준일자
409사회적협동조합제주로문화살레 사회적협동조합2022-06-15064-711-7300예술· 스포츠 및 여가관련 서비스업다중이해관계자지역주민 문화복지·문화향유를 위한 생활문화 프로그램 운영·생활문화·공예문화 관련 전문인력양성 및 지원 활동 ·타 지역 생활문화동호회 단체와의 교류 및 협력시스템 구축제주특별자치도 제주시 우정로13길 5 (외도일동)제주시2023-08-02
410사회적협동조합고팡사회적협동조합2022-06-22<NA>예술· 스포츠 및 여가관련 서비스업다중이해관계자중장년 문화예술교육플랫폼 운영·제주어 유튜브채널 운영·기타 문화콘텐츠 제제주특별자치도 제주시 관덕로 44 (일도일동) 4층 5호제주시2023-08-02
411사회적협동조합사회적협동조합 테메노스2022-07-06<NA>보건업 및 사회복지서비스업다중이해관계자1. 학대피해자 대상 심리치료 사업 2. 학대 피해자 심리치료를 위한 국내외 학술교류 및 연구사업제주특별자치도 서귀포시 안덕면 화순서서로7번길 6-3서귀포시2023-08-02
412사회적협동조합사회적협동조합 인다라2022-07-13<NA>사업시설관리 및 사업지원 서비스업다중이해관계자치유농업 및 생태치료제주특별자치도 제주시 조천읍 선흘동2길 29 2층제주시2023-08-02
413사회적협동조합아이티디지털배움터 사회적협동조합2022-08-19064-762-1116교육 서비스업다중이해관계자정보화기기 교육사업·코딩교육사업제주특별자치도 서귀포시 중산간동로 8121 (서홍동)서귀포시2023-08-02
414사회적협동조합건입동 마을관리 사회적협동조합2022-08-23<NA>사업시설관리 및 사업지원 서비스업다중이해관계자ㅇ 도시재생 공동이용시설 운영관리 사업·도시재생 공동이용시설 기반 마을 카페 사업·다함께 돌봄 사업 등제주특별자치도 제주시 연무정동길 22-1 (건입동) 2층제주시2023-08-02
415사회적협동조합만나빌더스 사회적협동조합2022-12-13<NA>국제 및 외국기관다중이해관계자학교밖청소년 취업지원제주특별자치도 제주시 곰방매길 6 (아라일동)제주시2023-08-02
416사회적협동조합별무리 사회적협동조합2022-12-20<NA>교육 서비스업다중이해관계자글로벌교육교류사업·팀프러너십교육사업·창업생태계 조성 사업·교육 연구 사업제주특별자치도 서귀포시 중앙로 101번길 7제주시2023-08-02
417사회적협동조합이어도돌봄사회적협동조합2023-02-21064-721-1297보건업 및 사회복지서비스업다중이해관계자산모신생아 건강관리지원사업·가사간병 방문지원사업·노인방문요양 등제주특별자치도 제주시 연삼로 218 2층제주시2023-08-02
418사회적협동조합사회적협동조합 라온2023-06-01<NA>보건업 및 사회복지서비스업다중이해관계자장애인주간활동(주간보호)센터 사업제주특별자치도 제주시 이호이동 997-9제주시2023-08-02