Overview

Dataset statistics

Number of variables8
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory67.9 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description인천광역시 비영리 민간환경단체 등록현황으로, 데이터 기준일으로 69개의 비영리민간 환경단체를 공개하고 있습니다. 업무에 참고하시기 바랍니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104025&srcSe=7661IVAWM27C61E190

Alerts

순번 is highly overall correlated with 회원수(명)High correlation
회원수(명) is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
법인명 has unique valuesUnique
목적 및 주요활동 has unique valuesUnique
사무실주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:25:31.752417
Analysis finished2024-01-28 08:25:32.773091
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-01-28T17:25:32.830612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2024-01-28T17:25:32.959870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

법인명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-28T17:25:33.160297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length11.391304
Min length6

Characters and Unicode

Total characters786
Distinct characters171
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row인천녹색연합
2nd row인천환경운동연합
3rd row가톨릭 환경연대
4th row환경사랑어머니회
5th row생명축제조직위원회
ValueCountFrequency (%)
인천지부 3
 
3.1%
인천광역시지부 2
 
2.0%
인천녹색연합 1
 
1.0%
매소홀환경사랑모임 1
 
1.0%
해병봉사단 1
 
1.0%
인천광역시 1
 
1.0%
영종환경연합 1
 
1.0%
봉사단 1
 
1.0%
미추홀에코 1
 
1.0%
반딧불이 1
 
1.0%
Other values (85) 85
86.7%
2024-01-28T17:25:33.478070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 42
 
5.3%
천 42
 
5.3%
경 37
 
4.7%
환 35
 
4.5%
회 34
 
4.3%
사 33
 
4.2%
29
 
3.7%
연 29
 
3.7%
시 19
 
2.4%
) 18
 
2.3%
Other values (161) 468
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 721
91.7%
Space Separator 29
 
3.7%
Close Punctuation 18
 
2.3%
Open Punctuation 14
 
1.8%
Decimal Number 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 42
 
5.8%
천 42
 
5.8%
경 37
 
5.1%
환 35
 
4.9%
회 34
 
4.7%
사 33
 
4.6%
연 29
 
4.0%
시 19
 
2.6%
지 16
 
2.2%
부 16
 
2.2%
Other values (154) 418
58.0%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
2 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 721
91.7%
Common 65
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 42
 
5.8%
천 42
 
5.8%
경 37
 
5.1%
환 35
 
4.9%
회 34
 
4.7%
사 33
 
4.6%
연 29
 
4.0%
시 19
 
2.6%
지 16
 
2.2%
부 16
 
2.2%
Other values (154) 418
58.0%
Common
ValueCountFrequency (%)
29
44.6%
) 18
27.7%
( 14
21.5%
5 1
 
1.5%
2 1
 
1.5%
. 1
 
1.5%
6 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 721
91.7%
ASCII 65
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 42
 
5.8%
천 42
 
5.8%
경 37
 
5.1%
환 35
 
4.9%
회 34
 
4.7%
사 33
 
4.6%
연 29
 
4.0%
시 19
 
2.6%
지 16
 
2.2%
부 16
 
2.2%
Other values (154) 418
58.0%
ASCII
ValueCountFrequency (%)
29
44.6%
) 18
27.7%
( 14
21.5%
5 1
 
1.5%
2 1
 
1.5%
. 1
 
1.5%
6 1
 
1.5%

대표자
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-28T17:25:33.691161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0144928
Min length3

Characters and Unicode

Total characters208
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)97.1%

Sample

1st row이준모
2nd row진대현
3rd row최진형
4th row김연자
5th row황선진
ValueCountFrequency (%)
김형문 2
 
2.9%
김갑석 1
 
1.4%
이원기 1
 
1.4%
오세권 1
 
1.4%
최덕우 1
 
1.4%
노영호 1
 
1.4%
변재철 1
 
1.4%
진대현 1
 
1.4%
김진환 1
 
1.4%
박진택 1
 
1.4%
Other values (58) 58
84.1%
2024-01-28T17:25:34.010941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 14
 
6.7%
김 13
 
6.2%
진 7
 
3.4%
영 7
 
3.4%
재 6
 
2.9%
석 5
 
2.4%
성 5
 
2.4%
최 5
 
2.4%
기 4
 
1.9%
경 4
 
1.9%
Other values (87) 138
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
6.7%
김 13
 
6.2%
진 7
 
3.4%
영 7
 
3.4%
재 6
 
2.9%
석 5
 
2.4%
성 5
 
2.4%
최 5
 
2.4%
기 4
 
1.9%
경 4
 
1.9%
Other values (87) 138
66.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 14
 
6.7%
김 13
 
6.2%
진 7
 
3.4%
영 7
 
3.4%
재 6
 
2.9%
석 5
 
2.4%
성 5
 
2.4%
최 5
 
2.4%
기 4
 
1.9%
경 4
 
1.9%
Other values (87) 138
66.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 14
 
6.7%
김 13
 
6.2%
진 7
 
3.4%
영 7
 
3.4%
재 6
 
2.9%
석 5
 
2.4%
성 5
 
2.4%
최 5
 
2.4%
기 4
 
1.9%
경 4
 
1.9%
Other values (87) 138
66.3%

회원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.56522
Minimum100
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-01-28T17:25:34.116406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile101
Q1105
median120
Q3189
95-th percentile1870.8
Maximum3000
Range2900
Interquartile range (IQR)84

Descriptive statistics

Standard deviation657.10556
Coefficient of variation (CV)1.7543155
Kurtosis9.1680725
Mean374.56522
Median Absolute Deviation (MAD)18
Skewness3.0955481
Sum25845
Variance431787.72
MonotonicityNot monotonic
2024-01-28T17:25:34.211857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
120 7
 
10.1%
102 5
 
7.2%
150 5
 
7.2%
500 4
 
5.8%
106 3
 
4.3%
104 3
 
4.3%
103 3
 
4.3%
100 3
 
4.3%
101 3
 
4.3%
114 2
 
2.9%
Other values (29) 31
44.9%
ValueCountFrequency (%)
100 3
4.3%
101 3
4.3%
102 5
7.2%
103 3
4.3%
104 3
4.3%
105 1
 
1.4%
106 3
4.3%
107 1
 
1.4%
108 1
 
1.4%
110 1
 
1.4%
ValueCountFrequency (%)
3000 2
2.9%
2800 1
 
1.4%
2184 1
 
1.4%
1401 1
 
1.4%
1300 1
 
1.4%
1050 1
 
1.4%
1030 1
 
1.4%
671 1
 
1.4%
500 4
5.8%
450 1
 
1.4%

설립일자
Date

Distinct59
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2000-05-03 00:00:00
Maximum2023-03-14 00:00:00
2024-01-28T17:25:34.336171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:34.710592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

목적 및 주요활동
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-28T17:25:34.910199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length21.347826
Min length6

Characters and Unicode

Total characters1473
Distinct characters188
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row시민환경운동(실태조사,감시활동교육등)
2nd row환경캠페인, 명예감시관활동
3rd row환경보전운동,환경교육,조사,연구
4th row환경보전을위한 재활용품 홍보교육
5th row강화도 갯벌보존및 생태,생명운동을 중심으로한 생명축제사업
ValueCountFrequency (%)
및 28
 
9.9%
등 9
 
3.2%
교육 8
 
2.8%
위한 7
 
2.5%
환경보호 5
 
1.8%
환경보전 4
 
1.4%
활동 4
 
1.4%
환경교육 4
 
1.4%
환경캠페인 3
 
1.1%
환경정화활동 3
 
1.1%
Other values (184) 208
73.5%
2024-01-28T17:25:35.267345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
14.9%
환 84
 
5.7%
경 84
 
5.7%
, 68
 
4.6%
동 59
 
4.0%
보 52
 
3.5%
활 46
 
3.1%
교 30
 
2.0%
육 30
 
2.0%
및 29
 
2.0%
Other values (178) 771
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1176
79.8%
Space Separator 220
 
14.9%
Other Punctuation 69
 
4.7%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 84
 
7.1%
경 84
 
7.1%
동 59
 
5.0%
보 52
 
4.4%
활 46
 
3.9%
교 30
 
2.6%
육 30
 
2.6%
및 29
 
2.5%
시 23
 
2.0%
사 22
 
1.9%
Other values (173) 717
61.0%
Other Punctuation
ValueCountFrequency (%)
, 68
98.6%
? 1
 
1.4%
Space Separator
ValueCountFrequency (%)
220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1176
79.8%
Common 297
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 84
 
7.1%
경 84
 
7.1%
동 59
 
5.0%
보 52
 
4.4%
활 46
 
3.9%
교 30
 
2.6%
육 30
 
2.6%
및 29
 
2.5%
시 23
 
2.0%
사 22
 
1.9%
Other values (173) 717
61.0%
Common
ValueCountFrequency (%)
220
74.1%
, 68
 
22.9%
) 4
 
1.3%
( 4
 
1.3%
? 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1176
79.8%
ASCII 297
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
74.1%
, 68
 
22.9%
) 4
 
1.3%
( 4
 
1.3%
? 1
 
0.3%
Hangul
ValueCountFrequency (%)
환 84
 
7.1%
경 84
 
7.1%
동 59
 
5.0%
보 52
 
4.4%
활 46
 
3.9%
교 30
 
2.6%
육 30
 
2.6%
및 29
 
2.5%
시 23
 
2.0%
사 22
 
1.9%
Other values (173) 717
61.0%

사무실주소
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-28T17:25:35.553368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length29.217391
Min length19

Characters and Unicode

Total characters2016
Distinct characters175
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

Unique69 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 계산새로 65번길 17, 602호(계산동, 태흥프라자)
2nd row인천광역시 미추홀구 경원대로747, 3층(주안동)
3rd row인천광역시 미추홀구 석정로 202번길 5(도화동)
4th row인천광역시 부평구 동암남로 19번길(십정동)
5th row인천광역시 강화군 길상면 신촌로 146번길14-11, 4호(초지리)
ValueCountFrequency (%)
인천광역시 69
 
18.4%
서구 14
 
3.7%
남동구 13
 
3.5%
부평구 9
 
2.4%
미추홀구 9
 
2.4%
계양구 9
 
2.4%
연수구 7
 
1.9%
3층 6
 
1.6%
2층 5
 
1.3%
강화군 5
 
1.3%
Other values (204) 228
61.0%
2024-01-28T17:25:35.938651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
15.3%
인 77
 
3.8%
1 71
 
3.5%
천 71
 
3.5%
동 71
 
3.5%
2 71
 
3.5%
시 70
 
3.5%
광 69
 
3.4%
역 69
 
3.4%
구 65
 
3.2%
Other values (165) 1073
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1186
58.8%
Decimal Number 346
 
17.2%
Space Separator 309
 
15.3%
Open Punctuation 53
 
2.6%
Close Punctuation 53
 
2.6%
Other Punctuation 41
 
2.0%
Dash Punctuation 14
 
0.7%
Uppercase Letter 14
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 77
 
6.5%
천 71
 
6.0%
동 71
 
6.0%
시 70
 
5.9%
광 69
 
5.8%
역 69
 
5.8%
구 65
 
5.5%
로 65
 
5.5%
번 33
 
2.8%
길 33
 
2.8%
Other values (142) 563
47.5%
Decimal Number
ValueCountFrequency (%)
1 71
20.5%
2 71
20.5%
3 38
11.0%
6 31
9.0%
5 30
8.7%
4 28
 
8.1%
0 27
 
7.8%
7 22
 
6.4%
9 15
 
4.3%
8 13
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
T 3
21.4%
A 3
21.4%
P 3
21.4%
L 1
 
7.1%
B 1
 
7.1%
M 1
 
7.1%
S 1
 
7.1%
C 1
 
7.1%
Space Separator
ValueCountFrequency (%)
309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1186
58.8%
Common 816
40.5%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 77
 
6.5%
천 71
 
6.0%
동 71
 
6.0%
시 70
 
5.9%
광 69
 
5.8%
역 69
 
5.8%
구 65
 
5.5%
로 65
 
5.5%
번 33
 
2.8%
길 33
 
2.8%
Other values (142) 563
47.5%
Common
ValueCountFrequency (%)
309
37.9%
1 71
 
8.7%
2 71
 
8.7%
( 53
 
6.5%
) 53
 
6.5%
, 41
 
5.0%
3 38
 
4.7%
6 31
 
3.8%
5 30
 
3.7%
4 28
 
3.4%
Other values (5) 91
 
11.2%
Latin
ValueCountFrequency (%)
T 3
21.4%
A 3
21.4%
P 3
21.4%
L 1
 
7.1%
B 1
 
7.1%
M 1
 
7.1%
S 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1186
58.8%
ASCII 830
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
37.2%
1 71
 
8.6%
2 71
 
8.6%
( 53
 
6.4%
) 53
 
6.4%
, 41
 
4.9%
3 38
 
4.6%
6 31
 
3.7%
5 30
 
3.6%
4 28
 
3.4%
Other values (13) 105
 
12.7%
Hangul
ValueCountFrequency (%)
인 77
 
6.5%
천 71
 
6.0%
동 71
 
6.0%
시 70
 
5.9%
광 69
 
5.8%
역 69
 
5.8%
구 65
 
5.5%
로 65
 
5.5%
번 33
 
2.8%
길 33
 
2.8%
Other values (142) 563
47.5%

전화번호
Text

Distinct53
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-01-28T17:25:36.139418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.710145
Min length6

Characters and Unicode

Total characters739
Distinct characters17
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

Unique50 ?
Unique (%)72.5%

Sample

1st row032-548-6274
2nd row032-426-2767
3rd row032-777-9494
4th row032-421-1177
5th row032-937-6134
ValueCountFrequency (%)
데이터미집계 15
 
21.7%
032-548-6274 2
 
2.9%
032-933-3448 2
 
2.9%
032-710-7876 1
 
1.4%
032-568-1997 1
 
1.4%
032-548-6574 1
 
1.4%
032-873-0625 1
 
1.4%
032-563-2117 1
 
1.4%
032-521-9114 1
 
1.4%
032-874-3310 1
 
1.4%
Other values (43) 43
62.3%
2024-01-28T17:25:36.463330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
14.6%
2 94
12.7%
3 86
11.6%
0 76
10.3%
1 53
7.2%
5 52
7.0%
8 42
 
5.7%
7 42
 
5.7%
4 37
 
5.0%
6 36
 
4.9%
Other values (7) 113
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 541
73.2%
Dash Punctuation 108
 
14.6%
Other Letter 90
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 94
17.4%
3 86
15.9%
0 76
14.0%
1 53
9.8%
5 52
9.6%
8 42
7.8%
7 42
7.8%
4 37
 
6.8%
6 36
 
6.7%
9 23
 
4.3%
Other Letter
ValueCountFrequency (%)
계 15
16.7%
집 15
16.7%
미 15
16.7%
이 15
16.7%
터 15
16.7%
데 15
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
87.8%
Hangul 90
 
12.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.6%
2 94
14.5%
3 86
13.3%
0 76
11.7%
1 53
8.2%
5 52
8.0%
8 42
 
6.5%
7 42
 
6.5%
4 37
 
5.7%
6 36
 
5.5%
Hangul
ValueCountFrequency (%)
계 15
16.7%
집 15
16.7%
미 15
16.7%
이 15
16.7%
터 15
16.7%
데 15
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
87.8%
Hangul 90
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.6%
2 94
14.5%
3 86
13.3%
0 76
11.7%
1 53
8.2%
5 52
8.0%
8 42
 
6.5%
7 42
 
6.5%
4 37
 
5.7%
6 36
 
5.5%
Hangul
ValueCountFrequency (%)
계 15
16.7%
집 15
16.7%
미 15
16.7%
이 15
16.7%
터 15
16.7%
데 15
16.7%

Interactions

2024-01-28T17:25:32.481659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:32.337158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:32.549823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:32.408467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:25:36.557417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인명대표자회원수(명)설립일자목적 및 주요활동사무실주소전화번호
순번1.0001.0000.9390.3270.9901.0001.0000.729
법인명1.0001.0001.0001.0001.0001.0001.0001.000
대표자0.9391.0001.0001.0000.9901.0001.0001.000
회원수(명)0.3271.0001.0001.0000.0001.0001.0000.962
설립일자0.9901.0000.9900.0001.0001.0001.0000.000
목적 및 주요활동1.0001.0001.0001.0001.0001.0001.0001.000
사무실주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.7291.0001.0000.9620.0001.0001.0001.000
2024-01-28T17:25:36.663960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수(명)
순번1.000-0.637
회원수(명)-0.6371.000

Missing values

2024-01-28T17:25:32.639251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:25:32.736320image/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

순번법인명대표자회원수(명)설립일자목적 및 주요활동사무실주소전화번호
01인천녹색연합이준모13002000-05-03시민환경운동(실태조사,감시활동교육등)인천광역시 계양구 계산새로 65번길 17, 602호(계산동, 태흥프라자)032-548-6274
12인천환경운동연합진대현10502000-05-03환경캠페인, 명예감시관활동인천광역시 미추홀구 경원대로747, 3층(주안동)032-426-2767
23가톨릭 환경연대최진형5002000-05-03환경보전운동,환경교육,조사,연구인천광역시 미추홀구 석정로 202번길 5(도화동)032-777-9494
34환경사랑어머니회김연자1252000-05-12환경보전을위한 재활용품 홍보교육인천광역시 부평구 동암남로 19번길(십정동)032-421-1177
45생명축제조직위원회황선진5002000-05-25강화도 갯벌보존및 생태,생명운동을 중심으로한 생명축제사업인천광역시 강화군 길상면 신촌로 146번길14-11, 4호(초지리)032-937-6134
56(사)한국환경보전실천교육회곽중걸30002000-05-25환경보전 살천교육, 학술발표회인천광역시 남동구 남동대로720, 201호(구월동)032-466-9011
67강화도 시민연대오교창2602000-06-16갯벌생태보전을 위한 체험환경 교육 프로그램인천광역시 강화군 강화읍 강화대로422, 1호(관청리)032-933-6223
78환경오염 방지협의회이준배14012000-06-16산업단지주변환경보전 및 오염물질의 실태 조사인천광역시 남동구 남동대로215번길 12,65B2L (고잔동)032-813-1127
89(사)해병대전우회인천광역시연합회박진택1592000-07-21환경보호, 해양쓰레기수거, 환경감시인천광역시 연수구 앵고개로 183(동춘동)032-822-0915
910인천환경기술인협의회이수만5002000-05-12환경관리인기술지원 교육 및 정보교류인천광역시 남동구 남동대로 916번길 23, 3층(간석동, 태화에스프리)032-432-6945
순번법인명대표자회원수(명)설립일자목적 및 주요활동사무실주소전화번호
5960인천환경 네트워크정중원1022017-12-01환경교육홍보인천광역시 부평구 마장로 72번길 5, 2층(십정동)032-516-0113
6061인천청소년봉사단이인숙1032018-02-13환경캠페인 등인천광역시 서구 심곡로 12(명성빌딩,601호)032-567-7789
6162가황금환경모임나미경1032018-04-24시민스스로 자신의 삶과 삶터를 녹색으로 바꾸는 시민참여 운동 등인천광역시 서구 고산후로 121번 안길 35, 4츠2호(원당동)데이터미집계
6263(사)에버그린차재명1022019-03-14지역주민과 함께하는 환경정책세미나 및 출판물, 홍보물 발간 등인천광역시 남동구 고잔로 123(고잔동) 규태빌딩 2층032-566-0113
6364검단신도시발전협의회장경석1042019-09-11깨끗하고 쾌적한 환경을 위한 교육 및 환경관련 활동인천광역시 서구 원당대로 626, 한서빌딩 7층(당하동)032-568-1997
6465저어새와 친구들김형문1042019-12-16생태모니터링 및 인식증진인천광역시 남동구 문화로 115번길 23(102호)데이터미집계
6566인천범시민환경대책위원회이성순1142021-10-26깨끗한 환경(대기,수질,토양)지키기 활동인천광역시 서구 신석로 47-1, 1층데이터미집계
6667자연의벗연구소 인천지부오창길1012022-05-02환경교육 정책연구 및 컨설팅 교육 등인천광역시 남동구 문화로 145번길 12, 3층032-710-7876
6768인천 환경아카데미 연합회고전진1012022-08-16깨끗한 환경보존을 위한 봉사 및 홍보활동인천광역시 계양구 아나지로 549(서운동)032-547-1517
6869월드환경연합회김영호1052023-03-14탄소중립 미래도시 조성 사업 및 환경 생태보전 수질오염 감시 활동인천광역시 서구 봉수대로 1470-1, (주)준도 3층(오류동)032-561-0445