Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory77.3 B

Variable types

Text4
Categorical2
Numeric2
DateTime1

Dataset

Description도봉구에 위치하고 있는 협동조합 현황 데이터(시설명, 주소, 구분등)
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15028132/fileData.do

Alerts

대표일자 has constant value ""Constant
구분 is highly imbalanced (53.1%)Imbalance
설립신고일 has 1 (2.5%) missing valuesMissing
시설명 has unique valuesUnique
사업내용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:47:47.005514
Analysis finished2023-12-12 03:47:48.643974
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:47:48.875005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.7
Min length5

Characters and Unicode

Total characters428
Distinct characters153
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

Unique40 ?
Unique (%)100.0%

Sample

1st row미래미디어협동조합
2nd row솔샘재활용의류협동조합
3rd row한국재활용수집선별협동조합
4th row조이너스크리닝협동조합
5th row목화송이협동조합
ValueCountFrequency (%)
협동조합 4
 
7.7%
사회적협동조합 4
 
7.7%
미래미디어협동조합 1
 
1.9%
한마음복지협동조합 1
 
1.9%
힐 1
 
1.9%
심리상담 1
 
1.9%
교육협동조합 1
 
1.9%
나누리의전협동조합 1
 
1.9%
인그루출판인쇄협동조합 1
 
1.9%
도봉도시농업네트워크협동조합 1
 
1.9%
Other values (36) 36
69.2%
2023-12-12T12:47:49.378008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 42
 
9.8%
조 42
 
9.8%
협 41
 
9.6%
합 40
 
9.3%
12
 
2.8%
리 9
 
2.1%
사 7
 
1.6%
전 6
 
1.4%
인 6
 
1.4%
국 6
 
1.4%
Other values (143) 217
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
97.2%
Space Separator 12
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
10.1%
조 42
 
10.1%
협 41
 
9.9%
합 40
 
9.6%
리 9
 
2.2%
사 7
 
1.7%
전 6
 
1.4%
인 6
 
1.4%
국 6
 
1.4%
한 6
 
1.4%
Other values (142) 211
50.7%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
97.2%
Common 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
10.1%
조 42
 
10.1%
협 41
 
9.9%
합 40
 
9.6%
리 9
 
2.2%
사 7
 
1.7%
전 6
 
1.4%
인 6
 
1.4%
국 6
 
1.4%
한 6
 
1.4%
Other values (142) 211
50.7%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
97.2%
ASCII 12
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 42
 
10.1%
조 42
 
10.1%
협 41
 
9.9%
합 40
 
9.6%
리 9
 
2.2%
사 7
 
1.7%
전 6
 
1.4%
인 6
 
1.4%
국 6
 
1.4%
한 6
 
1.4%
Other values (142) 211
50.7%
ASCII
ValueCountFrequency (%)
12
100.0%

동구분
Categorical

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
창동
13 
도봉동
9 
쌍문동
8 
방학동
8 
<NA>
 
1

Length

Max length4
Median length3
Mean length2.7
Min length2

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row창동
2nd row도봉동
3rd row도봉동
4th row쌍문동
5th row방학동

Common Values

ValueCountFrequency (%)
창동 13
32.5%
도봉동 9
22.5%
쌍문동 8
20.0%
방학동 8
20.0%
<NA> 1
 
2.5%
창1동 1
 
2.5%

Length

2023-12-12T12:47:49.585254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:49.772205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창동 13
32.5%
도봉동 9
22.5%
쌍문동 8
20.0%
방학동 8
20.0%
na 1
 
2.5%
창1동 1
 
2.5%

주소
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:47:50.093435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31.5
Mean length23.6
Min length7

Characters and Unicode

Total characters944
Distinct characters92
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

Unique34 ?
Unique (%)85.0%

Sample

1st row도봉구 노해로69길 25, 2층(창동)
2nd row도봉구 도봉로 905, 306호(도봉동,한양빌딩)
3rd row도봉구 도봉로 969(도봉동)
4th row도봉구 우이천로32길 38(쌍문동)
5th row도봉구 방학로 166, 2층(방학동)
ValueCountFrequency (%)
도봉구 34
 
21.0%
도봉로 6
 
3.7%
마들로 4
 
2.5%
3층(도봉동 3
 
1.9%
노해로63길 3
 
1.9%
시루봉로 3
 
1.9%
43(창동 2
 
1.2%
창업보육실 2
 
1.2%
삼양로144길 2
 
1.2%
33 2
 
1.2%
Other values (94) 101
62.3%
2023-12-12T12:47:50.570675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
13.1%
봉 63
 
6.7%
도 58
 
6.1%
동 44
 
4.7%
1 40
 
4.2%
3 40
 
4.2%
로 39
 
4.1%
( 36
 
3.8%
) 36
 
3.8%
구 34
 
3.6%
Other values (82) 430
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 482
51.1%
Decimal Number 221
23.4%
Space Separator 124
 
13.1%
Open Punctuation 36
 
3.8%
Close Punctuation 36
 
3.8%
Other Punctuation 33
 
3.5%
Dash Punctuation 8
 
0.8%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 63
 
13.1%
도 58
 
12.0%
동 44
 
9.1%
로 39
 
8.1%
구 34
 
7.1%
길 24
 
5.0%
창 18
 
3.7%
학 11
 
2.3%
방 11
 
2.3%
해 10
 
2.1%
Other values (63) 170
35.3%
Decimal Number
ValueCountFrequency (%)
1 40
18.1%
3 40
18.1%
6 28
12.7%
2 26
11.8%
0 23
10.4%
4 17
7.7%
5 15
 
6.8%
9 15
 
6.8%
7 11
 
5.0%
8 6
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
S 1
25.0%
B 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
51.1%
Common 458
48.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 63
 
13.1%
도 58
 
12.0%
동 44
 
9.1%
로 39
 
8.1%
구 34
 
7.1%
길 24
 
5.0%
창 18
 
3.7%
학 11
 
2.3%
방 11
 
2.3%
해 10
 
2.1%
Other values (63) 170
35.3%
Common
ValueCountFrequency (%)
124
27.1%
1 40
 
8.7%
3 40
 
8.7%
( 36
 
7.9%
) 36
 
7.9%
, 33
 
7.2%
6 28
 
6.1%
2 26
 
5.7%
0 23
 
5.0%
4 17
 
3.7%
Other values (5) 55
12.0%
Latin
ValueCountFrequency (%)
E 1
25.0%
S 1
25.0%
B 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
51.1%
ASCII 462
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
26.8%
1 40
 
8.7%
3 40
 
8.7%
( 36
 
7.8%
) 36
 
7.8%
, 33
 
7.1%
6 28
 
6.1%
2 26
 
5.6%
0 23
 
5.0%
4 17
 
3.7%
Other values (9) 59
12.8%
Hangul
ValueCountFrequency (%)
봉 63
 
13.1%
도 58
 
12.0%
동 44
 
9.1%
로 39
 
8.1%
구 34
 
7.1%
길 24
 
5.0%
창 18
 
3.7%
학 11
 
2.3%
방 11
 
2.3%
해 10
 
2.1%
Other values (63) 170
35.3%

위도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.660703
Minimum37.643608
Maximum37.690826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T12:47:50.771537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.643608
5-th percentile37.647555
Q137.651906
median37.656989
Q337.669067
95-th percentile37.685555
Maximum37.690826
Range0.0472183
Interquartile range (IQR)0.0171604

Descriptive statistics

Standard deviation0.01207893
Coefficient of variation (CV)0.00032073033
Kurtosis0.24780083
Mean37.660703
Median Absolute Deviation (MAD)0.00601625
Skewness0.96855269
Sum1506.4281
Variance0.00014590054
MonotonicityNot monotonic
2023-12-12T12:47:50.951557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.6525861 3
 
7.5%
37.6696175 3
 
7.5%
37.6511988 2
 
5.0%
37.6535673 1
 
2.5%
37.6519118 1
 
2.5%
37.6794041 1
 
2.5%
37.6632313 1
 
2.5%
37.6570569 1
 
2.5%
37.6593819 1
 
2.5%
37.6483467 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
37.6436075 1
2.5%
37.6459708 1
2.5%
37.6476381 1
2.5%
37.6483467 1
2.5%
37.6484819 1
2.5%
37.6492018 1
2.5%
37.65053 1
2.5%
37.6511988 2
5.0%
37.6518894 1
2.5%
37.6519118 1
2.5%
ValueCountFrequency (%)
37.6908258 1
 
2.5%
37.6888571 1
 
2.5%
37.6853815 1
 
2.5%
37.6819038 1
 
2.5%
37.6794041 1
 
2.5%
37.6722882 1
 
2.5%
37.6696175 3
7.5%
37.6695418 1
 
2.5%
37.6689082 1
 
2.5%
37.668562 1
 
2.5%

경도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03814
Minimum127.01616
Maximum127.05088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T12:47:51.155554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01616
5-th percentile127.02205
Q1127.03325
median127.04234
Q3127.04441
95-th percentile127.04694
Maximum127.05088
Range0.0347162
Interquartile range (IQR)0.01116415

Descriptive statistics

Standard deviation0.0088260035
Coefficient of variation (CV)6.9475227 × 10-5
Kurtosis0.14919936
Mean127.03814
Median Absolute Deviation (MAD)0.0049968
Skewness-0.87707895
Sum5081.5255
Variance7.7898338 × 10-5
MonotonicityNot monotonic
2023-12-12T12:47:51.362043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
127.0440679 3
 
7.5%
127.0467615 3
 
7.5%
127.0161604 2
 
5.0%
127.0504176 1
 
2.5%
127.026076 1
 
2.5%
127.0444982 1
 
2.5%
127.0303315 1
 
2.5%
127.0428193 1
 
2.5%
127.0326097 1
 
2.5%
127.0352006 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
127.0161604 2
5.0%
127.02236 1
2.5%
127.0252286 1
2.5%
127.026076 1
2.5%
127.0288327 1
2.5%
127.0292388 1
2.5%
127.0303315 1
2.5%
127.031613 1
2.5%
127.0326097 1
2.5%
127.0334579 1
2.5%
ValueCountFrequency (%)
127.0508766 1
 
2.5%
127.0504176 1
 
2.5%
127.0467615 3
7.5%
127.0460821 1
 
2.5%
127.0457197 1
 
2.5%
127.0454839 1
 
2.5%
127.0449779 1
 
2.5%
127.0444982 1
 
2.5%
127.0443806 1
 
2.5%
127.0441986 1
 
2.5%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
(일반)협동조합
36 
사회적협동조합
4 

Length

Max length8
Median length8
Mean length7.9
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(일반)협동조합
2nd row(일반)협동조합
3rd row(일반)협동조합
4th row(일반)협동조합
5th row(일반)협동조합

Common Values

ValueCountFrequency (%)
(일반)협동조합 36
90.0%
사회적협동조합 4
 
10.0%

Length

2023-12-12T12:47:51.587189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:51.740600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반)협동조합 36
90.0%
사회적협동조합 4
 
10.0%

사업내용
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:47:52.079830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length24
Mean length19.45
Min length2

Characters and Unicode

Total characters778
Distinct characters175
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

Unique40 ?
Unique (%)100.0%

Sample

1st row미디어사업
2nd row의류재활용
3rd row재활용
4th row세탁업
5th row물품판매(면제품)
ValueCountFrequency (%)
및 15
 
8.5%
사업 8
 
4.5%
등 8
 
4.5%
교육 6
 
3.4%
관련 5
 
2.8%
컨설팅 3
 
1.7%
개발 3
 
1.7%
생산 2
 
1.1%
보급 2
 
1.1%
마을카페 2
 
1.1%
Other values (114) 122
69.3%
2023-12-12T12:47:52.730152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
17.6%
, 42
 
5.4%
업 26
 
3.3%
사 25
 
3.2%
교 17
 
2.2%
및 16
 
2.1%
공 16
 
2.1%
동 15
 
1.9%
매 12
 
1.5%
지 12
 
1.5%
Other values (165) 460
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
75.1%
Space Separator 137
 
17.6%
Other Punctuation 43
 
5.5%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 26
 
4.5%
사 25
 
4.3%
교 17
 
2.9%
및 16
 
2.7%
공 16
 
2.7%
동 15
 
2.6%
매 12
 
2.1%
지 12
 
2.1%
육 11
 
1.9%
기 11
 
1.9%
Other values (158) 423
72.4%
Other Punctuation
ValueCountFrequency (%)
, 42
97.7%
& 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
75.1%
Common 192
 
24.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 26
 
4.5%
사 25
 
4.3%
교 17
 
2.9%
및 16
 
2.7%
공 16
 
2.7%
동 15
 
2.6%
매 12
 
2.1%
지 12
 
2.1%
육 11
 
1.9%
기 11
 
1.9%
Other values (158) 423
72.4%
Common
ValueCountFrequency (%)
137
71.4%
, 42
 
21.9%
) 6
 
3.1%
( 6
 
3.1%
& 1
 
0.5%
Latin
ValueCountFrequency (%)
R 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
75.1%
ASCII 194
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
70.6%
, 42
 
21.6%
) 6
 
3.1%
( 6
 
3.1%
R 1
 
0.5%
& 1
 
0.5%
D 1
 
0.5%
Hangul
ValueCountFrequency (%)
업 26
 
4.5%
사 25
 
4.3%
교 17
 
2.9%
및 16
 
2.7%
공 16
 
2.7%
동 15
 
2.6%
매 12
 
2.1%
지 12
 
2.1%
육 11
 
1.9%
기 11
 
1.9%
Other values (158) 423
72.4%

설립신고일
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing1
Missing (%)2.5%
Memory size452.0 B
2023-12-12T12:47:53.072773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length11.128205
Min length10

Characters and Unicode

Total characters434
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row2013-06-19
2nd row2013-06-25
3rd row2013-07-01
4th row2013-07-23
5th row2013-08-20 (마을기업)
ValueCountFrequency (%)
2015-03-23 2
 
4.9%
마을기업 2
 
4.9%
2013.08.30(고용노동부 1
 
2.4%
2015-05-22 1
 
2.4%
2015-10-22 1
 
2.4%
2015-11-05 1
 
2.4%
2015-11-30 1
 
2.4%
2015-01-13 1
 
2.4%
2016-02-17 1
 
2.4%
2016-02-26 1
 
2.4%
Other values (29) 29
70.7%
2023-12-12T12:47:53.528797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
19.8%
2 71
16.4%
- 70
16.1%
1 64
14.7%
3 32
 
7.4%
5 19
 
4.4%
4 15
 
3.5%
6 9
 
2.1%
. 8
 
1.8%
8 8
 
1.8%
Other values (26) 52
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
71.9%
Dash Punctuation 70
 
16.1%
Other Letter 30
 
6.9%
Other Punctuation 8
 
1.8%
Open Punctuation 6
 
1.4%
Close Punctuation 6
 
1.4%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 4
 
13.3%
기 3
 
10.0%
업 3
 
10.0%
을 2
 
6.7%
마 2
 
6.7%
획 1
 
3.3%
자 1
 
3.3%
상 1
 
3.3%
통 1
 
3.3%
산 1
 
3.3%
Other values (11) 11
36.7%
Decimal Number
ValueCountFrequency (%)
0 86
27.6%
2 71
22.8%
1 64
20.5%
3 32
 
10.3%
5 19
 
6.1%
4 15
 
4.8%
6 9
 
2.9%
8 8
 
2.6%
9 5
 
1.6%
7 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 404
93.1%
Hangul 30
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4
 
13.3%
기 3
 
10.0%
업 3
 
10.0%
을 2
 
6.7%
마 2
 
6.7%
획 1
 
3.3%
자 1
 
3.3%
상 1
 
3.3%
통 1
 
3.3%
산 1
 
3.3%
Other values (11) 11
36.7%
Common
ValueCountFrequency (%)
0 86
21.3%
2 71
17.6%
- 70
17.3%
1 64
15.8%
3 32
 
7.9%
5 19
 
4.7%
4 15
 
3.7%
6 9
 
2.2%
. 8
 
2.0%
8 8
 
2.0%
Other values (5) 22
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 404
93.1%
Hangul 30
 
6.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
21.3%
2 71
17.6%
- 70
17.3%
1 64
15.8%
3 32
 
7.9%
5 19
 
4.7%
4 15
 
3.7%
6 9
 
2.2%
. 8
 
2.0%
8 8
 
2.0%
Other values (5) 22
 
5.4%
Hangul
ValueCountFrequency (%)
부 4
 
13.3%
기 3
 
10.0%
업 3
 
10.0%
을 2
 
6.7%
마 2
 
6.7%
획 1
 
3.3%
자 1
 
3.3%
상 1
 
3.3%
통 1
 
3.3%
산 1
 
3.3%
Other values (11) 11
36.7%

대표일자
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-01-01 00:00:00
Maximum2018-01-01 00:00:00
2023-12-12T12:47:53.696094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:53.856366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:47:48.049108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:47.744837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:48.178849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:47.891195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:47:53.992816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명동구분주소위도경도구분사업내용설립신고일
시설명1.0001.0001.0001.0001.0001.0001.0001.000
동구분1.0001.0001.0000.8710.5860.3661.0000.927
주소1.0001.0001.0001.0001.0001.0001.0000.980
위도1.0000.8711.0001.0000.0000.0001.0000.975
경도1.0000.5861.0000.0001.0000.0001.0001.000
구분1.0000.3661.0000.0000.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.000
설립신고일1.0000.9270.9800.9751.0001.0001.0001.000
2023-12-12T12:47:54.167270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분동구분
구분1.0000.425
동구분0.4251.000
2023-12-12T12:47:54.675551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도동구분구분
위도1.0000.2760.4980.000
경도0.2761.0000.3580.000
동구분0.4980.3581.0000.425
구분0.0000.0000.4251.000

Missing values

2023-12-12T12:47:48.373741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:47:48.567737image/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

시설명동구분주소위도경도구분사업내용설립신고일대표일자
0미래미디어협동조합창동도봉구 노해로69길 25, 2층(창동)37.653567127.050418(일반)협동조합미디어사업2013-06-192018-01-01
1솔샘재활용의류협동조합도봉동도봉구 도봉로 905, 306호(도봉동,한양빌딩)37.685381127.04572(일반)협동조합의류재활용2013-06-252018-01-01
2한국재활용수집선별협동조합도봉동도봉구 도봉로 969(도봉동)37.690826127.044199(일반)협동조합재활용2013-07-012018-01-01
3조이너스크리닝협동조합쌍문동도봉구 우이천로32길 38(쌍문동)37.649202127.025229(일반)협동조합세탁업2013-07-232018-01-01
4목화송이협동조합방학동도봉구 방학로 166, 2층(방학동)37.662626127.03372(일반)협동조합물품판매(면제품)2013-08-20 (마을기업)2018-01-01
5협동조합감좋은공방방학동도봉구 방학로 200-20(방학동)37.66265127.028833(일반)협동조합여성 건강의류 제작 및 판매(건강 브래지어, 통치마, 통바지 등), 헌 의류 업 사이클링2013-08-28 (마을기업)2018-01-01
6피어라희망협동조합창동도봉구 도봉로120길 12(창동)37.65053127.036768(일반)협동조합장애인 자립 및 직업재활2013-12-202018-01-01
7강북패션의류제조협동조합방학동도봉구 시루봉로 233, 3층(방학동)37.668908127.035433(일반)협동조합의류2013-02-062018-01-01
8해피디자인상담센터협동조합창동도봉구 노해로70길 19, 1909동 604호(창동, 주공19단지아파트)37.648482127.050877(일반)협동조합심리상담 학술활동 등2014-03-032018-01-01
9가온누리무예단협동조합창동도봉구 해등로16길 94(창동)37.654535127.044978(일반)협동조합공연예술2014-03-252018-01-01
시설명동구분주소위도경도구분사업내용설립신고일대표일자
30산울베리 사회적협동조합도봉동도봉구 도봉로169가길 45(도봉동)37.681904127.043199사회적협동조합농산물 생산 유통2013.08.30(고용노동부)2018-01-01
31사회적협동조합 도봉사회적경제 활성화협력단창동도봉구 노해로63길 43(창동) 창업보육실37.652586127.044068사회적협동조합사회적경제기업 지원2014.08.04(기획재정부)2018-01-01
32도봉시민햇빛발전 사회적협동조합창동도봉구 노해로63길 43(창동) 창업보육실37.652586127.044068사회적협동조합햇빛발전 사업 및 관련 교육2014.08.22(산업통상자원부)2018-01-01
33전국개인택시복지협동조합창동도봉구 노해로 317-6, 2층(창동)37.651889127.044381(일반)협동조합교통2012-12-262018-01-01
34행복나눔 협동조합창동도봉구 도봉로136다길 26-1(창동)37.660454127.042793(일반)협동조합물품공동판매2013-02-192018-01-01
35전국캠핑협동조합창동도봉구 도봉로 452, 3층(창동)37.645971127.033458(일반)협동조합문화(캠핑관련공동구매및홍보)2013-03-212018-01-01
36손나눔수공예협동조합쌍문동도봉구 삼양로144길 33, 대강의동 1층 창업센터(쌍문동)37.651199127.01616(일반)협동조합물품(수공예)제조판매2013-03-262018-01-01
37푸른꿈교육협동조합쌍문동도봉구 삼양로144길 33, 대강의동 1층 창업센터(쌍문동)37.651199127.01616(일반)협동조합교육(아동청소년교육프로그램의 개발보급, 강사양성)2013-04-092018-01-01
38협동조합초록풀씨쌍문동도봉구 시루봉로 56(쌍문동, 한양6차아파트)37.655748127.029239(일반)협동조합물품 공동구매,판매2013-04-252018-01-01
39우리동네택배협동조합쌍문동도봉구 도봉로 131길 86(쌍문동)37.656521127.033556(일반)협동조합택배사업2013-05-212018-01-01