Overview

Dataset statistics

Number of variables11
Number of observations101
Missing cells66
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory92.3 B

Variable types

Numeric3
Text5
DateTime1
Categorical2

Dataset

Description인천광역시 미추홀구 협동조합 현황에 대한 데이터로 기관명,대표자,도로명주소,연락처 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15071347/fileData.do

Alerts

전화번호 has 66 (65.3%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:39:41.417913
Analysis finished2024-04-29 22:39:45.443146
Duration4.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T07:39:45.524684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2024-04-30T07:39:45.668339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%

기관명
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-30T07:39:45.915742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.821782
Min length6

Characters and Unicode

Total characters1093
Distinct characters229
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row한겨레통신협동조합
2nd row한국렌탈판매협동조합
3rd row행복창작소협동조합
4th row누리사랑협동조합
5th row별빛공방협동조합
ValueCountFrequency (%)
협동조합 22
 
14.3%
사회적협동조합 20
 
13.0%
미추홀 2
 
1.3%
한겨레통신협동조합 1
 
0.6%
과학기술협동조합 1
 
0.6%
호호팩토리협동조합 1
 
0.6%
온 1
 
0.6%
위더스 1
 
0.6%
지킴이 1
 
0.6%
비트상상협동조합 1
 
0.6%
Other values (103) 103
66.9%
2024-04-30T07:39:46.269047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
협 103
 
9.4%
합 103
 
9.4%
동 102
 
9.3%
조 101
 
9.2%
53
 
4.8%
사 32
 
2.9%
회 27
 
2.5%
적 25
 
2.3%
인 18
 
1.6%
한 15
 
1.4%
Other values (219) 514
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1025
93.8%
Space Separator 53
 
4.8%
Lowercase Letter 8
 
0.7%
Uppercase Letter 4
 
0.4%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 103
 
10.0%
합 103
 
10.0%
동 102
 
10.0%
조 101
 
9.9%
사 32
 
3.1%
회 27
 
2.6%
적 25
 
2.4%
인 18
 
1.8%
한 15
 
1.5%
이 14
 
1.4%
Other values (204) 485
47.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
12.5%
s 1
12.5%
r 1
12.5%
i 1
12.5%
o 1
12.5%
c 1
12.5%
h 1
12.5%
n 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
50.0%
O 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1025
93.8%
Common 56
 
5.1%
Latin 12
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 103
 
10.0%
합 103
 
10.0%
동 102
 
10.0%
조 101
 
9.9%
사 32
 
3.1%
회 27
 
2.6%
적 25
 
2.4%
인 18
 
1.8%
한 15
 
1.5%
이 14
 
1.4%
Other values (204) 485
47.3%
Latin
ValueCountFrequency (%)
E 2
16.7%
t 1
8.3%
s 1
8.3%
r 1
8.3%
i 1
8.3%
o 1
8.3%
O 1
8.3%
c 1
8.3%
h 1
8.3%
n 1
8.3%
Common
ValueCountFrequency (%)
53
94.6%
· 1
 
1.8%
) 1
 
1.8%
( 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1025
93.8%
ASCII 67
 
6.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
협 103
 
10.0%
합 103
 
10.0%
동 102
 
10.0%
조 101
 
9.9%
사 32
 
3.1%
회 27
 
2.6%
적 25
 
2.4%
인 18
 
1.8%
한 15
 
1.5%
이 14
 
1.4%
Other values (204) 485
47.3%
ASCII
ValueCountFrequency (%)
53
79.1%
E 2
 
3.0%
t 1
 
1.5%
s 1
 
1.5%
r 1
 
1.5%
i 1
 
1.5%
o 1
 
1.5%
) 1
 
1.5%
O 1
 
1.5%
c 1
 
1.5%
Other values (4) 4
 
6.0%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-30T07:39:46.583124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters303
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)88.1%

Sample

1st row양O덕
2nd row손O균
3rd row연O성
4th row김O하
5th row이O은
ValueCountFrequency (%)
김o하 2
 
2.0%
조o우 2
 
2.0%
김o주 2
 
2.0%
이o혁 2
 
2.0%
김o순 2
 
2.0%
정o섭 2
 
2.0%
김o인 1
 
1.0%
이o동 1
 
1.0%
김o민 1
 
1.0%
장o윤 1
 
1.0%
Other values (85) 85
84.2%
2024-04-30T07:39:46.985754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 101
33.3%
김 22
 
7.3%
이 14
 
4.6%
박 9
 
3.0%
조 6
 
2.0%
최 5
 
1.7%
윤 5
 
1.7%
선 5
 
1.7%
안 4
 
1.3%
황 4
 
1.3%
Other values (73) 128
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
66.7%
Uppercase Letter 101
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
10.9%
이 14
 
6.9%
박 9
 
4.5%
조 6
 
3.0%
최 5
 
2.5%
윤 5
 
2.5%
선 5
 
2.5%
안 4
 
2.0%
황 4
 
2.0%
영 4
 
2.0%
Other values (72) 124
61.4%
Uppercase Letter
ValueCountFrequency (%)
O 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
66.7%
Latin 101
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
10.9%
이 14
 
6.9%
박 9
 
4.5%
조 6
 
3.0%
최 5
 
2.5%
윤 5
 
2.5%
선 5
 
2.5%
안 4
 
2.0%
황 4
 
2.0%
영 4
 
2.0%
Other values (72) 124
61.4%
Latin
ValueCountFrequency (%)
O 101
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
66.7%
ASCII 101
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 101
100.0%
Hangul
ValueCountFrequency (%)
김 22
 
10.9%
이 14
 
6.9%
박 9
 
4.5%
조 6
 
3.0%
최 5
 
2.5%
윤 5
 
2.5%
선 5
 
2.5%
안 4
 
2.0%
황 4
 
2.0%
영 4
 
2.0%
Other values (72) 124
61.4%

도로명주소
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-30T07:39:47.284832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length32.069307
Min length20

Characters and Unicode

Total characters3239
Distinct characters155
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

Unique99 ?
Unique (%)98.0%

Sample

1st row인천광역시 미추홀구 경인로 334-17, 1층 (주안동)
2nd row인천광역시 미추홀구 매소홀로 442, 1층 (학익동)
3rd row인천광역시 미추홀구 우각로 134-16 (숭의동)
4th row인천광역시 미추홀구 경원대로833번길 26, 2층 (주안동)
5th row인천광역시 미추홀구 한나루로564번길 58-3, 101호 (주안동)
ValueCountFrequency (%)
인천광역시 101
 
17.0%
미추홀구 101
 
17.0%
주안동 24
 
4.0%
도화동 14
 
2.4%
용현동 11
 
1.9%
숭의동 11
 
1.9%
1층 10
 
1.7%
석정로 9
 
1.5%
학익동 9
 
1.5%
2층 9
 
1.5%
Other values (238) 294
49.6%
2024-04-30T07:39:47.731744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
493
 
15.2%
1 131
 
4.0%
인 121
 
3.7%
홀 116
 
3.6%
미 107
 
3.3%
추 107
 
3.3%
동 106
 
3.3%
천 103
 
3.2%
시 103
 
3.2%
광 102
 
3.1%
Other values (145) 1750
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1884
58.2%
Decimal Number 558
 
17.2%
Space Separator 494
 
15.3%
Close Punctuation 90
 
2.8%
Open Punctuation 90
 
2.8%
Other Punctuation 70
 
2.2%
Dash Punctuation 25
 
0.8%
Uppercase Letter 20
 
0.6%
Lowercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 121
 
6.4%
홀 116
 
6.2%
미 107
 
5.7%
추 107
 
5.7%
동 106
 
5.6%
천 103
 
5.5%
시 103
 
5.5%
광 102
 
5.4%
구 101
 
5.4%
역 101
 
5.4%
Other values (119) 817
43.4%
Decimal Number
ValueCountFrequency (%)
1 131
23.5%
2 91
16.3%
3 69
12.4%
0 55
9.9%
5 45
 
8.1%
4 45
 
8.1%
6 42
 
7.5%
9 32
 
5.7%
7 30
 
5.4%
8 18
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
30.0%
T 5
25.0%
J 5
25.0%
S 3
15.0%
A 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 2
25.0%
e 2
25.0%
w 2
25.0%
Space Separator
ValueCountFrequency (%)
493
99.8%
　 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 69
98.6%
. 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1884
58.2%
Common 1327
41.0%
Latin 28
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 121
 
6.4%
홀 116
 
6.2%
미 107
 
5.7%
추 107
 
5.7%
동 106
 
5.6%
천 103
 
5.5%
시 103
 
5.5%
광 102
 
5.4%
구 101
 
5.4%
역 101
 
5.4%
Other values (119) 817
43.4%
Common
ValueCountFrequency (%)
493
37.2%
1 131
 
9.9%
2 91
 
6.9%
) 90
 
6.8%
( 90
 
6.8%
3 69
 
5.2%
, 69
 
5.2%
0 55
 
4.1%
5 45
 
3.4%
4 45
 
3.4%
Other values (7) 149
 
11.2%
Latin
ValueCountFrequency (%)
B 6
21.4%
T 5
17.9%
J 5
17.9%
S 3
10.7%
o 2
 
7.1%
r 2
 
7.1%
e 2
 
7.1%
w 2
 
7.1%
A 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1884
58.2%
ASCII 1354
41.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
493
36.4%
1 131
 
9.7%
2 91
 
6.7%
) 90
 
6.6%
( 90
 
6.6%
3 69
 
5.1%
, 69
 
5.1%
0 55
 
4.1%
5 45
 
3.3%
4 45
 
3.3%
Other values (15) 176
 
13.0%
Hangul
ValueCountFrequency (%)
인 121
 
6.4%
홀 116
 
6.2%
미 107
 
5.7%
추 107
 
5.7%
동 106
 
5.6%
천 103
 
5.5%
시 103
 
5.5%
광 102
 
5.4%
구 101
 
5.4%
역 101
 
5.4%
Other values (119) 817
43.4%
None
ValueCountFrequency (%)
　 1
100.0%

유형
Text

Distinct74
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-30T07:39:48.048927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length10.633663
Min length2

Characters and Unicode

Total characters1074
Distinct characters180
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)59.4%

Sample

1st row휴대폰관련운동
2nd row정수기렌탈
3rd row도예공방 마을카페
4th row교재공동구매사업
5th row문화상품 제조판매사업
ValueCountFrequency (%)
및 37
 
12.5%
서비스업 16
 
5.4%
교육 16
 
5.4%
도매 10
 
3.4%
사업 8
 
2.7%
소매업 8
 
2.7%
등 7
 
2.4%
관련 5
 
1.7%
사회서비스 4
 
1.4%
스포츠 4
 
1.4%
Other values (140) 181
61.1%
2024-04-30T07:39:48.481385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
18.2%
업 68
 
6.3%
및 37
 
3.4%
사 35
 
3.3%
스 35
 
3.3%
비 30
 
2.8%
매 29
 
2.7%
서 29
 
2.7%
교 25
 
2.3%
육 21
 
2.0%
Other values (170) 570
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 856
79.7%
Space Separator 195
 
18.2%
Other Punctuation 18
 
1.7%
Lowercase Letter 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 68
 
7.9%
및 37
 
4.3%
사 35
 
4.1%
스 35
 
4.1%
비 30
 
3.5%
매 29
 
3.4%
서 29
 
3.4%
교 25
 
2.9%
육 21
 
2.5%
관 17
 
2.0%
Other values (163) 530
61.9%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
o 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
195
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 856
79.7%
Common 215
 
20.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 68
 
7.9%
및 37
 
4.3%
사 35
 
4.1%
스 35
 
4.1%
비 30
 
3.5%
매 29
 
3.4%
서 29
 
3.4%
교 25
 
2.9%
육 21
 
2.5%
관 17
 
2.0%
Other values (163) 530
61.9%
Common
ValueCountFrequency (%)
195
90.7%
, 18
 
8.4%
( 1
 
0.5%
) 1
 
0.5%
Latin
ValueCountFrequency (%)
s 1
33.3%
o 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 856
79.7%
ASCII 218
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
89.4%
, 18
 
8.3%
( 1
 
0.5%
) 1
 
0.5%
s 1
 
0.5%
o 1
 
0.5%
p 1
 
0.5%
Hangul
ValueCountFrequency (%)
업 68
 
7.9%
및 37
 
4.3%
사 35
 
4.1%
스 35
 
4.1%
비 30
 
3.5%
매 29
 
3.4%
서 29
 
3.4%
교 25
 
2.9%
육 21
 
2.5%
관 17
 
2.0%
Other values (163) 530
61.9%

전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing66
Missing (%)65.3%
Memory size940.0 B
2024-04-30T07:39:48.699223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.057143
Min length9

Characters and Unicode

Total characters422
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

Unique35 ?
Unique (%)100.0%

Sample

1st row070-4066-3078
2nd row070-7773-2020
3rd row032-471-3887
4th row032-518-8297
5th row032-888-9687
ValueCountFrequency (%)
070-4066-3078 1
 
2.9%
032-888-0221 1
 
2.9%
032-888-1428 1
 
2.9%
032-438-1542 1
 
2.9%
070-8627-1767 1
 
2.9%
032-446-5230 1
 
2.9%
032-872-0320 1
 
2.9%
032-424-0372 1
 
2.9%
032-886-8780 1
 
2.9%
032-874-9015 1
 
2.9%
Other values (25) 25
71.4%
2024-04-30T07:39:49.067348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 69
16.4%
0 64
15.2%
2 61
14.5%
3 55
13.0%
8 44
10.4%
7 31
7.3%
4 22
 
5.2%
1 22
 
5.2%
6 19
 
4.5%
5 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 353
83.6%
Dash Punctuation 69
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
18.1%
2 61
17.3%
3 55
15.6%
8 44
12.5%
7 31
8.8%
4 22
 
6.2%
1 22
 
6.2%
6 19
 
5.4%
5 19
 
5.4%
9 16
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 422
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 69
16.4%
0 64
15.2%
2 61
14.5%
3 55
13.0%
8 44
10.4%
7 31
7.3%
4 22
 
5.2%
1 22
 
5.2%
6 19
 
4.5%
5 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 69
16.4%
0 64
15.2%
2 61
14.5%
3 55
13.0%
8 44
10.4%
7 31
7.3%
4 22
 
5.2%
1 22
 
5.2%
6 19
 
4.5%
5 19
 
4.5%

인가일자
Date

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2012-12-20 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T07:39:49.203117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:49.349406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종명
Categorical

Distinct29
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
교육 서비스업
20 
도매 및 소매업
18 
보건업 및 사회복지서비스업
7 
출판 영상 방송통신 및 정보서비스업
5 
제조업
5 
Other values (24)
46 

Length

Max length44
Median length27
Mean length12.574257
Min length3

Unique

Unique12 ?
Unique (%)11.9%

Sample

1st row출판 영상 방송통신 및 정보서비스업
2nd row도매 및 소매업
3rd row도매 및 소매업
4th row도매 및 소매업
5th row제조업

Common Values

ValueCountFrequency (%)
교육 서비스업 20
19.8%
도매 및 소매업 18
17.8%
보건업 및 사회복지서비스업 7
 
6.9%
출판 영상 방송통신 및 정보서비스업 5
 
5.0%
제조업 5
 
5.0%
운수업 4
 
4.0%
협회 및 단체 수리 및 기타 개인 서비스업 4
 
4.0%
예술 스포츠 및 여가관련 서비스업 4
 
4.0%
건설업 3
 
3.0%
사업시설관리 및 사업지원 서비스업 3
 
3.0%
Other values (19) 28
27.7%

Length

2024-04-30T07:39:49.483775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 69
19.1%
서비스업 37
 
10.2%
교육 21
 
5.8%
도매 18
 
5.0%
소매업 18
 
5.0%
보건업 7
 
1.9%
사회복지서비스업 7
 
1.9%
출판 7
 
1.9%
영상 7
 
1.9%
방송통신 7
 
1.9%
Other values (83) 164
45.3%

기관유형
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
사업자
55 
다중이해관계자
40 
소비자
 
4
직원
 
2

Length

Max length7
Median length3
Mean length4.5643564
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업자 55
54.5%
다중이해관계자 40
39.6%
소비자 4
 
4.0%
직원 2
 
2.0%

Length

2024-04-30T07:39:49.594466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:39:49.691335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 55
54.5%
다중이해관계자 40
39.6%
소비자 4
 
4.0%
직원 2
 
2.0%

위도
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.457958
Minimum37.436956
Maximum37.476944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T07:39:49.799322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436956
5-th percentile37.440188
Q137.451144
median37.459849
Q337.46624
95-th percentile37.4703
Maximum37.476944
Range0.03998779
Interquartile range (IQR)0.01509621

Descriptive statistics

Standard deviation0.0099269404
Coefficient of variation (CV)0.00026501553
Kurtosis-0.83364931
Mean37.457958
Median Absolute Deviation (MAD)0.00741845
Skewness-0.44953027
Sum3783.2537
Variance9.8544147 × 10-5
MonotonicityNot monotonic
2024-04-30T07:39:49.941567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46875843 6
 
5.9%
37.47042891 2
 
2.0%
37.45530697 2
 
2.0%
37.4671317 2
 
2.0%
37.45808058 2
 
2.0%
37.46925409 2
 
2.0%
37.46369406 1
 
1.0%
37.46882134 1
 
1.0%
37.46074702 1
 
1.0%
37.4603874 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
37.43695601 1
1.0%
37.43830762 1
1.0%
37.43953362 1
1.0%
37.43971114 1
1.0%
37.43975877 1
1.0%
37.44018825 1
1.0%
37.44050159 1
1.0%
37.44055309 1
1.0%
37.44103426 1
1.0%
37.44157127 1
1.0%
ValueCountFrequency (%)
37.4769438 1
1.0%
37.47404796 1
1.0%
37.47197085 1
1.0%
37.47042891 2
2.0%
37.47030014 1
1.0%
37.47025604 1
1.0%
37.46925409 2
2.0%
37.4688637 1
1.0%
37.46882134 1
1.0%
37.46876756 1
1.0%

경도
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66625
Minimum126.63315
Maximum126.69352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T07:39:50.139026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63315
5-th percentile126.64158
Q1126.65509
median126.66751
Q3126.67839
95-th percentile126.68884
Maximum126.69352
Range0.0603735
Interquartile range (IQR)0.0232958

Descriptive statistics

Standard deviation0.015252812
Coefficient of variation (CV)0.00012041733
Kurtosis-0.88671485
Mean126.66625
Median Absolute Deviation (MAD)0.0115864
Skewness-0.28569955
Sum12793.291
Variance0.00023264827
MonotonicityNot monotonic
2024-04-30T07:39:50.514159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6608213 6
 
5.9%
126.6767353 2
 
2.0%
126.6588026 2
 
2.0%
126.657367 2
 
2.0%
126.6772234 2
 
2.0%
126.6446983 2
 
2.0%
126.645295 1
 
1.0%
126.6477082 1
 
1.0%
126.6415849 1
 
1.0%
126.6774101 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
126.6331455 1
1.0%
126.6332704 1
1.0%
126.6336152 1
1.0%
126.6406595 1
1.0%
126.6414673 1
1.0%
126.6415849 1
1.0%
126.6417682 1
1.0%
126.6421979 1
1.0%
126.6426622 1
1.0%
126.6446728 1
1.0%
ValueCountFrequency (%)
126.693519 1
1.0%
126.6915615 1
1.0%
126.6907994 1
1.0%
126.6893248 1
1.0%
126.6891379 1
1.0%
126.68884 1
1.0%
126.6878815 1
1.0%
126.6872901 1
1.0%
126.6872193 1
1.0%
126.6837823 1
1.0%

Interactions

2024-04-30T07:39:44.906507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.231660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.606771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.997336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.385297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.702450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:45.098962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.520252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:44.798046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:39:50.617891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자도로명주소유형전화번호인가일자업종명기관유형위도경도
연번1.0000.5510.9450.6581.0001.0000.4970.4320.3240.476
대표자0.5511.0000.9970.9381.0000.9810.9760.0000.9330.953
도로명주소0.9450.9971.0000.9981.0000.9970.9970.0001.0001.000
유형0.6580.9380.9981.0001.0000.8630.9620.6760.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인가일자1.0000.9810.9970.8631.0001.0000.0001.0000.9580.000
업종명0.4970.9760.9970.9621.0000.0001.0000.6730.0000.000
기관유형0.4320.0000.0000.6761.0001.0000.6731.0000.3570.435
위도0.3240.9331.0000.0001.0000.9580.0000.3571.0000.589
경도0.4760.9531.0000.0001.0000.0000.0000.4350.5891.000
2024-04-30T07:39:50.731849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관유형업종명
기관유형1.0000.359
업종명0.3591.000
2024-04-30T07:39:50.821283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업종명기관유형
연번1.0000.036-0.0200.1990.245
위도0.0361.000-0.2090.0000.211
경도-0.020-0.2091.0000.0000.264
업종명0.1990.0000.0001.0000.359
기관유형0.2450.2110.2640.3591.000

Missing values

2024-04-30T07:39:45.216056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:39:45.374043image/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

연번기관명대표자도로명주소유형전화번호인가일자업종명기관유형위도경도
01한겨레통신협동조합양O덕인천광역시 미추홀구 경인로 334-17, 1층 (주안동)휴대폰관련운동070-4066-30782012-12-20출판 영상 방송통신 및 정보서비스업소비자37.458081126.677223
12한국렌탈판매협동조합손O균인천광역시 미추홀구 매소홀로 442, 1층 (학익동)정수기렌탈<NA>2013-07-03도매 및 소매업사업자37.439534126.671036
23행복창작소협동조합연O성인천광역시 미추홀구 우각로 134-16 (숭의동)도예공방 마을카페070-7773-20202013-08-06도매 및 소매업사업자37.469254126.644698
34누리사랑협동조합김O하인천광역시 미추홀구 경원대로833번길 26, 2층 (주안동)교재공동구매사업032-471-38872013-08-16도매 및 소매업사업자37.457255126.687882
45별빛공방협동조합이O은인천광역시 미추홀구 한나루로564번길 58-3, 101호 (주안동)문화상품 제조판매사업032-518-82972013-08-26제조업사업자37.456198126.674173
56특농생명나무협동조합황O식인천광역시 미추홀구 우각로134-16 (숭의동)특용작물 재배 등032-888-96872013-10-17제조업사업자37.469254126.644698
67한길협동조합권O길인천광역시 미추홀구 주안로 108, 경향프라자 11층 1116호 (주안동)콩나물 재배032-425-73782013-11-29제조업사업자37.463661126.681733
78인하CEO협동조합황O목인천광역시 미추홀구 경인남길 36 (용현동)공동강의 등<NA>2013-11-29교육 서비스업사업자37.452682126.655093
89한국스냅작가협동조합안O흥인천광역시 미추홀구 매소홀로 63, 4층 일부 (용현동)공동프로그램 연구 및 보급<NA>2013-11-29출판 영상 방송통신 및 정보서비스업사업자37.450186126.63327
910한국컴퓨터산업협동조합조O우인천광역시 미추홀구 염전로 330, 주안JTower1차지식산업센터 2층 213호 (주안동)컴퓨터 및 주변기기 판매<NA>2013-12-24도매 및 소매업사업자37.470429126.676735
연번기관명대표자도로명주소유형전화번호인가일자업종명기관유형위도경도
9192염전골햇빛발전 협동조합장O정인천광역시 미추홀구 염창로 46, 6층(주안동)햇빛발전소와 각종 재생에너지 발전소의 건설 및 유지 관리<NA>2023-02-28햇빛발전소와 각종 재생에너지 발전소의 건설 및 유지 관리사업자37.465625126.678876
9293다소다 협동조합이O진인천광역시 미추홀구 석정로202번길 12-17, 2층 (도화동)협회 및 단체 수리 및 기타 개인 서비스업<NA>2023-05-11협회 및 단체 수리 및 기타 개인 서비스업사업자37.467132126.657367
9394케이콘 협동조합임O석인천광역시 미추홀구 석정로 229, 행정타운및JST 13층 1304호 (도화동)출판, 영상, 방송통신 및 정보서비스업070-4304-19722023-06-05출판, 영상, 방송통신 및 정보서비스업사업자37.468758126.660821
9495시민공원역일번가민간임대 협동조합강O구인천광역시 미추홀구 경인로 328 (주안동)부동산업 및 임대업<NA>2023-06-05부동산업 및 임대업사업자37.458523126.676333
9596피플앤피플협동조합안O경인천광역시 미추홀구 석정로 229, 행정타운및JST 13층 (도화동)운수업<NA>2023-08-01운수업사업자37.468758126.660821
9697사회적협동조합 혼디이O영인천광역시 미추홀구 석정로 229 제물포스마트타운13층보건업 및 사회복지서비스업<NA>2023-08-30보건업 및 사회복지서비스업다중이해관계자37.468758126.660821
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