Overview

Dataset statistics

Number of variables11
Number of observations827
Missing cells153
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.2 KiB
Average record size in memory88.2 B

Variable types

Categorical4
Text6
DateTime1

Dataset

Description부산광역시에 등록된 비영리민간단체 현황에 대한 데이터로 단체명, 사무소 소재지, 등록일, 주된사업, 주관부서 항목에 대한 정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3075901/fileData.do

Alerts

기관구분 has constant value ""Constant
등록기관 has constant value ""Constant
상태 has constant value ""Constant
연락처 has 147 (17.8%) missing valuesMissing
등록번호 has unique valuesUnique
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:28:25.270384
Analysis finished2023-12-12 12:28:27.062675
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
시도
827 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시도 827
100.0%

Length

2023-12-12T21:28:27.157659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:28:27.314722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 827
100.0%

등록기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
부산광역시
827 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 827
100.0%

Length

2023-12-12T21:28:27.481382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:28:27.621035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 827
100.0%

등록번호
Text

UNIQUE 

Distinct827
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:28:28.142544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8827086
Min length1

Characters and Unicode

Total characters2384
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

Unique827 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
0.1%
680 1
 
0.1%
682 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
674 1
 
0.1%
675 1
 
0.1%
Other values (817) 817
98.8%
2023-12-12T21:28:28.924716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 258
10.8%
7 255
10.7%
5 253
10.6%
2 253
10.6%
1 251
10.5%
4 250
10.5%
8 245
10.3%
3 236
9.9%
9 219
9.2%
0 162
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2382
99.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 258
10.8%
7 255
10.7%
5 253
10.6%
2 253
10.6%
1 251
10.5%
4 250
10.5%
8 245
10.3%
3 236
9.9%
9 219
9.2%
0 162
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 258
10.8%
7 255
10.7%
5 253
10.6%
2 253
10.6%
1 251
10.5%
4 250
10.5%
8 245
10.3%
3 236
9.9%
9 219
9.2%
0 162
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 258
10.8%
7 255
10.7%
5 253
10.6%
2 253
10.6%
1 251
10.5%
4 250
10.5%
8 245
10.3%
3 236
9.9%
9 219
9.2%
0 162
6.8%

단체명
Text

UNIQUE 

Distinct827
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:28:29.264836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length12.619105
Min length3

Characters and Unicode

Total characters10436
Distinct characters488
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique827 ?
Unique (%)100.0%

Sample

1st row(사)해병대전우회 부산광역시연합회
2nd row부산민주언론시민연합 (구.부산언론운동시민연합)
3rd row(사)부산광역시여성단체협의회
4th row(사)부산·경남생태도시연구소‘생명마당’
5th row(사)한국아마추어무선연맹부산지부
ValueCountFrequency (%)
사단법인 53
 
4.2%
부산광역시 37
 
2.9%
한국자유총연맹 14
 
1.1%
부산지부 10
 
0.8%
새마을지도자 9
 
0.7%
바르게살기운동 7
 
0.6%
부산광역시지부 7
 
0.6%
새마을부녀회 7
 
0.6%
새마을운동 6
 
0.5%
위한 5
 
0.4%
Other values (1045) 1102
87.7%
2023-12-12T21:28:29.770128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
596
 
5.7%
480
 
4.6%
463
 
4.4%
437
 
4.2%
356
 
3.4%
261
 
2.5%
199
 
1.9%
194
 
1.9%
191
 
1.8%
187
 
1.8%
Other values (478) 7072
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9436
90.4%
Space Separator 437
 
4.2%
Close Punctuation 171
 
1.6%
Open Punctuation 158
 
1.5%
Uppercase Letter 78
 
0.7%
Other Punctuation 60
 
0.6%
Decimal Number 47
 
0.5%
Lowercase Letter 41
 
0.4%
Initial Punctuation 3
 
< 0.1%
Final Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
596
 
6.3%
480
 
5.1%
463
 
4.9%
356
 
3.8%
261
 
2.8%
199
 
2.1%
194
 
2.1%
191
 
2.0%
187
 
2.0%
183
 
1.9%
Other values (420) 6326
67.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
 
10.3%
N 7
 
9.0%
T 7
 
9.0%
C 5
 
6.4%
E 5
 
6.4%
I 4
 
5.1%
G 4
 
5.1%
O 4
 
5.1%
Y 4
 
5.1%
W 4
 
5.1%
Other values (12) 26
33.3%
Lowercase Letter
ValueCountFrequency (%)
n 7
17.1%
e 5
12.2%
t 4
9.8%
o 4
9.8%
i 4
9.8%
a 4
9.8%
r 4
9.8%
h 3
7.3%
g 2
 
4.9%
d 1
 
2.4%
Other values (3) 3
7.3%
Decimal Number
ValueCountFrequency (%)
1 16
34.0%
2 10
21.3%
0 7
14.9%
6 5
 
10.6%
3 3
 
6.4%
5 3
 
6.4%
4 2
 
4.3%
7 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 43
71.7%
· 5
 
8.3%
, 4
 
6.7%
/ 3
 
5.0%
" 2
 
3.3%
' 2
 
3.3%
& 1
 
1.7%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Final Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9434
90.4%
Common 881
 
8.4%
Latin 119
 
1.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
596
 
6.3%
480
 
5.1%
463
 
4.9%
356
 
3.8%
261
 
2.8%
199
 
2.1%
194
 
2.1%
191
 
2.0%
187
 
2.0%
183
 
1.9%
Other values (418) 6324
67.0%
Latin
ValueCountFrequency (%)
A 8
 
6.7%
N 7
 
5.9%
T 7
 
5.9%
n 7
 
5.9%
C 5
 
4.2%
E 5
 
4.2%
e 5
 
4.2%
I 4
 
3.4%
G 4
 
3.4%
O 4
 
3.4%
Other values (25) 63
52.9%
Common
ValueCountFrequency (%)
437
49.6%
) 171
 
19.4%
( 158
 
17.9%
. 43
 
4.9%
1 16
 
1.8%
2 10
 
1.1%
0 7
 
0.8%
· 5
 
0.6%
6 5
 
0.6%
, 4
 
0.5%
Other values (13) 25
 
2.8%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9434
90.4%
ASCII 989
 
9.5%
Punctuation 6
 
0.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
596
 
6.3%
480
 
5.1%
463
 
4.9%
356
 
3.8%
261
 
2.8%
199
 
2.1%
194
 
2.1%
191
 
2.0%
187
 
2.0%
183
 
1.9%
Other values (418) 6324
67.0%
ASCII
ValueCountFrequency (%)
437
44.2%
) 171
 
17.3%
( 158
 
16.0%
. 43
 
4.3%
1 16
 
1.6%
2 10
 
1.0%
A 8
 
0.8%
N 7
 
0.7%
0 7
 
0.7%
T 7
 
0.7%
Other values (43) 125
 
12.6%
None
ValueCountFrequency (%)
· 5
100.0%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
CJK
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct777
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:28:30.208992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.1946796
Min length2

Characters and Unicode

Total characters2642
Distinct characters215
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

Unique734 ?
Unique (%)88.8%

Sample

1st row정동목
2nd row복성경
3rd row최효자
4th row김좌관
5th row노해덕
ValueCountFrequency (%)
조정희 5
 
0.6%
안태준 3
 
0.4%
정창식 3
 
0.4%
서봉수 3
 
0.4%
이기숙 3
 
0.4%
조서목 3
 
0.4%
최상기 3
 
0.4%
김영주 3
 
0.4%
공원주 2
 
0.2%
이재현 2
 
0.2%
Other values (789) 826
96.5%
2023-12-12T21:28:30.750878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
6.7%
124
 
4.7%
95
 
3.6%
79
 
3.0%
75
 
2.8%
64
 
2.4%
45
 
1.7%
42
 
1.6%
41
 
1.6%
40
 
1.5%
Other values (205) 1861
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2579
97.6%
Space Separator 32
 
1.2%
Other Punctuation 18
 
0.7%
Decimal Number 7
 
0.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
6.8%
124
 
4.8%
95
 
3.7%
79
 
3.1%
75
 
2.9%
64
 
2.5%
45
 
1.7%
42
 
1.6%
41
 
1.6%
40
 
1.6%
Other values (197) 1798
69.7%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
4 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2579
97.6%
Common 63
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
176
 
6.8%
124
 
4.8%
95
 
3.7%
79
 
3.1%
75
 
2.9%
64
 
2.5%
45
 
1.7%
42
 
1.6%
41
 
1.6%
40
 
1.6%
Other values (197) 1798
69.7%
Common
ValueCountFrequency (%)
32
50.8%
, 18
28.6%
) 3
 
4.8%
( 3
 
4.8%
1 3
 
4.8%
2 2
 
3.2%
4 1
 
1.6%
3 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2579
97.6%
ASCII 63
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
176
 
6.8%
124
 
4.8%
95
 
3.7%
79
 
3.1%
75
 
2.9%
64
 
2.5%
45
 
1.7%
42
 
1.6%
41
 
1.6%
40
 
1.6%
Other values (197) 1798
69.7%
ASCII
ValueCountFrequency (%)
32
50.8%
, 18
28.6%
) 3
 
4.8%
( 3
 
4.8%
1 3
 
4.8%
2 2
 
3.2%
4 1
 
1.6%
3 1
 
1.6%
Distinct790
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:28:31.137704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length26.032648
Min length8

Characters and Unicode

Total characters21529
Distinct characters363
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique767 ?
Unique (%)92.7%

Sample

1st row동래구 여고로 66 (사직동) 현대빌딩 503호
2nd row수영구 광남로 88, 301호
3rd row부산시 동구 범일로 92, 8층
4th row동구 중앙대로 320번길 7-5, 3층 (초량동)
5th row부산광역시 부산진구 가야대로 579, 우체국 3층 (가야동)
ValueCountFrequency (%)
부산광역시 466
 
11.1%
부산진구 141
 
3.4%
동구 105
 
2.5%
중앙대로 74
 
1.8%
연제구 70
 
1.7%
동래구 70
 
1.7%
해운대구 58
 
1.4%
금정구 55
 
1.3%
3층 54
 
1.3%
부산시 52
 
1.2%
Other values (1539) 3047
72.7%
2023-12-12T21:28:31.755182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3387
 
15.7%
944
 
4.4%
856
 
4.0%
1 853
 
4.0%
817
 
3.8%
798
 
3.7%
729
 
3.4%
2 607
 
2.8%
( 567
 
2.6%
) 567
 
2.6%
Other values (353) 11404
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12295
57.1%
Decimal Number 3927
 
18.2%
Space Separator 3387
 
15.7%
Open Punctuation 567
 
2.6%
Close Punctuation 567
 
2.6%
Other Punctuation 506
 
2.4%
Dash Punctuation 185
 
0.9%
Uppercase Letter 64
 
0.3%
Lowercase Letter 30
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
944
 
7.7%
856
 
7.0%
817
 
6.6%
798
 
6.5%
729
 
5.9%
544
 
4.4%
504
 
4.1%
468
 
3.8%
391
 
3.2%
304
 
2.5%
Other values (307) 5940
48.3%
Lowercase Letter
ValueCountFrequency (%)
a 4
13.3%
m 4
13.3%
p 4
13.3%
w 3
10.0%
r 2
6.7%
u 2
6.7%
s 2
6.7%
o 2
6.7%
e 2
6.7%
k 1
 
3.3%
Other values (4) 4
13.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
17.2%
T 9
14.1%
C 8
12.5%
O 8
12.5%
E 5
7.8%
S 5
7.8%
A 5
7.8%
P 3
 
4.7%
D 3
 
4.7%
K 3
 
4.7%
Other values (3) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 853
21.7%
2 607
15.5%
3 470
12.0%
0 399
10.2%
5 346
8.8%
4 322
 
8.2%
6 255
 
6.5%
9 241
 
6.1%
7 240
 
6.1%
8 194
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 495
97.8%
/ 7
 
1.4%
. 3
 
0.6%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12296
57.1%
Common 9139
42.4%
Latin 94
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
944
 
7.7%
856
 
7.0%
817
 
6.6%
798
 
6.5%
729
 
5.9%
544
 
4.4%
504
 
4.1%
468
 
3.8%
391
 
3.2%
304
 
2.5%
Other values (308) 5941
48.3%
Latin
ValueCountFrequency (%)
B 11
 
11.7%
T 9
 
9.6%
C 8
 
8.5%
O 8
 
8.5%
E 5
 
5.3%
S 5
 
5.3%
A 5
 
5.3%
a 4
 
4.3%
m 4
 
4.3%
p 4
 
4.3%
Other values (17) 31
33.0%
Common
ValueCountFrequency (%)
3387
37.1%
1 853
 
9.3%
2 607
 
6.6%
( 567
 
6.2%
) 567
 
6.2%
, 495
 
5.4%
3 470
 
5.1%
0 399
 
4.4%
5 346
 
3.8%
4 322
 
3.5%
Other values (8) 1126
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12295
57.1%
ASCII 9233
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3387
36.7%
1 853
 
9.2%
2 607
 
6.6%
( 567
 
6.1%
) 567
 
6.1%
, 495
 
5.4%
3 470
 
5.1%
0 399
 
4.3%
5 346
 
3.7%
4 322
 
3.5%
Other values (35) 1220
 
13.2%
Hangul
ValueCountFrequency (%)
944
 
7.7%
856
 
7.0%
817
 
6.6%
798
 
6.5%
729
 
5.9%
544
 
4.4%
504
 
4.1%
468
 
3.8%
391
 
3.2%
304
 
2.5%
Other values (307) 5940
48.3%
None
ValueCountFrequency (%)
1
100.0%
Distinct763
Distinct (%)92.9%
Missing6
Missing (%)0.7%
Memory size6.6 KiB
2023-12-12T21:28:32.124887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length334
Median length154
Mean length32.7162
Min length4

Characters and Unicode

Total characters26860
Distinct characters523
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique748 ?
Unique (%)91.1%

Sample

1st row공익적 봉사 활동
2nd row민주언론 실현
3rd row○ 여성관련 지역사회 개발 및 여성발전에 기여하는 사업○ 정부와 사회에 여성단체의 의견을 건의하고 반영하는 사업○ 여성의 능력개발 및 사회경제적 지위향상에 필요한 사업 등
4th row환경문제 조사 연구
5th row아마추어무선의 보급 등
ValueCountFrequency (%)
415
 
7.0%
315
 
5.3%
위한 173
 
2.9%
사업 121
 
2.0%
활동 60
 
1.0%
교육 58
 
1.0%
관한 50
 
0.8%
46
 
0.8%
장애인 38
 
0.6%
대한 37
 
0.6%
Other values (2787) 4638
77.9%
2023-12-12T21:28:32.697907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5284
 
19.7%
889
 
3.3%
, 622
 
2.3%
525
 
2.0%
513
 
1.9%
457
 
1.7%
430
 
1.6%
397
 
1.5%
373
 
1.4%
362
 
1.3%
Other values (513) 17008
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20428
76.1%
Space Separator 5284
 
19.7%
Other Punctuation 777
 
2.9%
Other Symbol 186
 
0.7%
Close Punctuation 37
 
0.1%
Open Punctuation 37
 
0.1%
Uppercase Letter 36
 
0.1%
Decimal Number 30
 
0.1%
Dash Punctuation 17
 
0.1%
Lowercase Letter 9
 
< 0.1%
Other values (3) 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
889
 
4.4%
525
 
2.6%
513
 
2.5%
457
 
2.2%
430
 
2.1%
397
 
1.9%
373
 
1.8%
362
 
1.8%
358
 
1.8%
358
 
1.8%
Other values (469) 15766
77.2%
Uppercase Letter
ValueCountFrequency (%)
N 5
13.9%
A 4
11.1%
B 4
11.1%
O 3
 
8.3%
D 2
 
5.6%
I 2
 
5.6%
M 2
 
5.6%
G 2
 
5.6%
U 2
 
5.6%
R 2
 
5.6%
Other values (6) 8
22.2%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
2 5
16.7%
4 4
13.3%
5 4
13.3%
6 3
 
10.0%
0 3
 
10.0%
3 2
 
6.7%
7 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
n 2
22.2%
a 2
22.2%
d 1
11.1%
r 1
11.1%
g 1
11.1%
i 1
11.1%
m 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 622
80.1%
. 104
 
13.4%
· 50
 
6.4%
/ 1
 
0.1%
Other Number
ValueCountFrequency (%)
4
57.1%
3
42.9%
Space Separator
ValueCountFrequency (%)
5284
100.0%
Other Symbol
ValueCountFrequency (%)
186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20428
76.1%
Common 6387
 
23.8%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
889
 
4.4%
525
 
2.6%
513
 
2.5%
457
 
2.2%
430
 
2.1%
397
 
1.9%
373
 
1.8%
362
 
1.8%
358
 
1.8%
358
 
1.8%
Other values (469) 15766
77.2%
Latin
ValueCountFrequency (%)
N 5
 
11.1%
A 4
 
8.9%
B 4
 
8.9%
O 3
 
6.7%
n 2
 
4.4%
a 2
 
4.4%
D 2
 
4.4%
I 2
 
4.4%
M 2
 
4.4%
G 2
 
4.4%
Other values (13) 17
37.8%
Common
ValueCountFrequency (%)
5284
82.7%
, 622
 
9.7%
186
 
2.9%
. 104
 
1.6%
· 50
 
0.8%
) 37
 
0.6%
( 37
 
0.6%
- 17
 
0.3%
1 8
 
0.1%
6
 
0.1%
Other values (11) 36
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20428
76.1%
ASCII 6177
 
23.0%
Geometric Shapes 186
 
0.7%
None 50
 
0.2%
Punctuation 12
 
< 0.1%
Enclosed Alphanum 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5284
85.5%
, 622
 
10.1%
. 104
 
1.7%
) 37
 
0.6%
( 37
 
0.6%
- 17
 
0.3%
1 8
 
0.1%
N 5
 
0.1%
2 5
 
0.1%
4 4
 
0.1%
Other values (28) 54
 
0.9%
Hangul
ValueCountFrequency (%)
889
 
4.4%
525
 
2.6%
513
 
2.5%
457
 
2.2%
430
 
2.1%
397
 
1.9%
373
 
1.8%
362
 
1.8%
358
 
1.8%
358
 
1.8%
Other values (469) 15766
77.2%
Geometric Shapes
ValueCountFrequency (%)
186
100.0%
None
ValueCountFrequency (%)
· 50
100.0%
Punctuation
ValueCountFrequency (%)
6
50.0%
6
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
4
57.1%
3
42.9%

연락처
Text

MISSING 

Distinct639
Distinct (%)94.0%
Missing147
Missing (%)17.8%
Memory size6.6 KiB
2023-12-12T21:28:32.949424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length12.05
Min length12

Characters and Unicode

Total characters8194
Distinct characters15
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique611 ?
Unique (%)89.9%

Sample

1st row051-506-4172
2nd row051-802-9016
3rd row051-257-0057
4th row051-464-4401
5th row051-781-5252
ValueCountFrequency (%)
051-744-1443 4
 
0.6%
051-202-8783 4
 
0.6%
051-246-8599 4
 
0.6%
051-894-7316 4
 
0.6%
051-802-8686 3
 
0.4%
051-808-7960 3
 
0.4%
051-861-6700 3
 
0.4%
051-231-4646 3
 
0.4%
051-819-1201 3
 
0.4%
051-806-6699 2
 
0.3%
Other values (629) 647
95.1%
2023-12-12T21:28:33.408067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1361
16.6%
0 1241
15.1%
5 1211
14.8%
1 1169
14.3%
2 534
 
6.5%
4 504
 
6.2%
8 475
 
5.8%
6 474
 
5.8%
3 452
 
5.5%
7 432
 
5.3%
Other values (5) 341
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6829
83.3%
Dash Punctuation 1361
 
16.6%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1241
18.2%
5 1211
17.7%
1 1169
17.1%
2 534
7.8%
4 504
7.4%
8 475
 
7.0%
6 474
 
6.9%
3 452
 
6.6%
7 432
 
6.3%
9 337
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1361
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8193
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1361
16.6%
0 1241
15.1%
5 1211
14.8%
1 1169
14.3%
2 534
 
6.5%
4 504
 
6.2%
8 475
 
5.8%
6 474
 
5.8%
3 452
 
5.5%
7 432
 
5.3%
Other values (4) 340
 
4.1%
Latin
ValueCountFrequency (%)
f 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1361
16.6%
0 1241
15.1%
5 1211
14.8%
1 1169
14.3%
2 534
 
6.5%
4 504
 
6.2%
8 475
 
5.8%
6 474
 
5.8%
3 452
 
5.5%
7 432
 
5.3%
Other values (5) 341
 
4.2%
Distinct604
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2000-04-24 00:00:00
Maximum2023-09-25 00:00:00
2023-12-12T21:28:33.614426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:28:33.822167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주관과
Categorical

Distinct48
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
자치분권과
200 
문화예술과
106 
장애인복지과
68 
아동청소년과
51 
환경정책과
42 
Other values (43)
360 

Length

Max length10
Median length5
Mean length5.2551391
Min length3

Unique

Unique8 ?
Unique (%)1.0%

Sample

1st row자치분권과
2nd row공보담당관
3rd row여성가족과
4th row환경정책과
5th row인공지능소프트웨어과

Common Values

ValueCountFrequency (%)
자치분권과 200
24.2%
문화예술과 106
12.8%
장애인복지과 68
 
8.2%
아동청소년과 51
 
6.2%
환경정책과 42
 
5.1%
창조교육과 38
 
4.6%
여성가족과 35
 
4.2%
노인복지과 31
 
3.7%
농축산유통과 23
 
2.8%
외교통상과 21
 
2.5%
Other values (38) 212
25.6%

Length

2023-12-12T21:28:34.045614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자치분권과 200
24.2%
문화예술과 107
12.9%
장애인복지과 68
 
8.2%
아동청소년과 51
 
6.2%
환경정책과 42
 
5.1%
창조교육과 38
 
4.6%
여성가족과 35
 
4.2%
노인복지과 31
 
3.7%
농축산유통과 23
 
2.8%
외교통상과 21
 
2.5%
Other values (37) 211
25.5%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
등록
827 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록 827
100.0%

Length

2023-12-12T21:28:34.231609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:28:34.380938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 827
100.0%

Missing values

2023-12-12T21:28:26.287032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:28:26.853781image/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.
2023-12-12T21:28:26.988066image/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

기관구분등록기관등록번호단체명대표자소재지주된사업연락처등록일주관과상태
0시도부산광역시1(사)해병대전우회 부산광역시연합회정동목동래구 여고로 66 (사직동) 현대빌딩 503호공익적 봉사 활동051-506-41722000-04-24자치분권과등록
1시도부산광역시2부산민주언론시민연합 (구.부산언론운동시민연합)복성경수영구 광남로 88, 301호민주언론 실현051-802-90162000-05-06공보담당관등록
2시도부산광역시3(사)부산광역시여성단체협의회최효자부산시 동구 범일로 92, 8층○ 여성관련 지역사회 개발 및 여성발전에 기여하는 사업○ 정부와 사회에 여성단체의 의견을 건의하고 반영하는 사업○ 여성의 능력개발 및 사회경제적 지위향상에 필요한 사업 등051-257-00572000-05-08여성가족과등록
3시도부산광역시4(사)부산·경남생태도시연구소‘생명마당’김좌관동구 중앙대로 320번길 7-5, 3층 (초량동)환경문제 조사 연구051-464-44012000-05-09환경정책과등록
4시도부산광역시5(사)한국아마추어무선연맹부산지부노해덕부산광역시 부산진구 가야대로 579, 우체국 3층 (가야동)아마추어무선의 보급 등051-781-52522000-05-10인공지능소프트웨어과등록
5시도부산광역시6(사)이주민과 함께 (구.외국인노동자인권을위한모임)조병준부산진구 전포동 193-38이주노동자와결혼이주민의인권보호활동,이주민의한국생활적응및한국문화이해프로그램등051-802-34382000-05-12여성가족과등록
6시도부산광역시7(사)여성정책연구소이귀자부산진구 전포대로 199번길 15, 606호 (전포동, 현대타워오피스텔)여성정책의 연구 개발 등051-809-61822000-05-12여성가족과등록
7시도부산광역시10(사)노동인권연대 (구.노동자를 위한 연대)최충언최성주부산광역시 부산진구 서면문화로 29, 3층 (부전동)노동법률 상담 및 교육,노동조합 지원사업 등051-803-87462000-05-15민생노동정책과등록
8시도부산광역시11(사)부산여성사회교육원이기숙부산광역시 부산진구 서면문화로 41, 보승빌딩 3층 (부전동)여성사회 교육051-802-60832000-05-15여성가족과등록
9시도부산광역시12대한민국월남전참전자회부산광역시지부김찬진동구 고관로 5, 부산보훈복지회관 B동 5층(초량동)월남전참전유공자명예선양 호국정신함양및지역사회봉사051-441-99882000-05-17총무과등록
기관구분등록기관등록번호단체명대표자소재지주된사업연락처등록일주관과상태
817시도부산광역시957부산무궁화선양회하준섭서구 천마로 197, 송남새마을금고 4층(남부민동)○ 무궁화 연구 및 학술지원 활동○ 무궁화 선양 선도교사 육성 및 지원 활동○ 무궁화 관련 책자 발간 및 순회 전시 등 홍보 활동○ 무궁화 학생 글짓기 및 그림 그리기 대회 주관○ 무궁화 심기 및 가꾸기 활동○ 기타 이 단체의 목적 달성에 필요한 활동<NA>2023-05-11산림녹지과등록
818시도부산광역시959이안오케스트라김하균부산광역시 동래구 중앙대로1267번길 9, 3층가. 각종 공연 및 음악회 개최 등 재능기부를 통한 봉사연주나. 음악 교육의 강화로 후임양성에 이바지 하는 사업다. 연주회로 발생되는 수익금은 전액 사회로 환원하는 사업라. 기타 목적 달성에 필요한 사업<NA>2023-05-26문화예술과등록
819시도부산광역시960부산광역시장애인바둑협회강문근부산광역시 남구 석포로 7, 지하동 2층 2-3호○ 부산시장애인바둑에 관한 기본방침의 심의·결정○ 부산시장애인바둑에 관한 자문 및 건의○ 부산시장애인바둑의 국내·외 경기의 개최 및 참가○ 부산시장애인바둑협회 산하지회의 지원 및 육성○ 부산시장애인바둑 경기기술의 연구 및 향상○ 부산시장애인바둑의 선수등록 및 선수관리○ 부산시장애인바둑선수 양성과 경기시설에 관한 연구와 설치 및 관리○ 부산시장애인바둑에 관한 자료수집 및 조사통계○ 부산시장애인바둑종목에 관한 홍보○ 기타 부산시장애인바둑협회의 목적달성에 필요한 사업<NA>2023-06-02체육진흥과등록
820시도부산광역시958함세상장애인자립생활센터최영아부산광역시 남구 수영로 243, 501호(대연동, 한울빌딩)○ 장애인 권익 옹호 및 지역 사회운동○ 동료상담 및 동료상담가 지원○ 개인별 자립생활지원 및 자립생활기술훈련○ 거주시설 장애인 탈시설 자립지원○ 활동지원서비스○ 이동 지원 및 보장구 지원○ 체험홈, 자립생활주택 등 주거서비스○ 문화 여가 활동, 평생교육 등 지역사회 서비스○ 장애인의 개인적, 조직적 역량강화 활동 ○ 기타 본 센터의 목적에 부합하는 사업<NA>2023-06-09장애인복지과등록
821시도부산광역시961부산광역시 동래구 반려동물협회안희원부산광역시 동래구 석사북로 3-1, 2층(사직동)부산광역시 동래구 반려동물 공생 활성화와 기타 부대사업051-504-79792023-06-15농축산유통과등록
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823시도부산광역시963부산동래차밭골문화회양은순부산광역시 수영구 민락본동로27번길 22, 501호(민락동, 수웅누리하우스텔)○ 부산동래차밭골문화제 및 다신제 개최에 관한 사업○ 백일장, 북토크콘서트 등 문화행사에 관한 사업○ 계간종합문예지, 문화와 문학타임 발간에 관한 사업<NA>2023-08-08문화예술과등록
824시도부산광역시964박상용 융 무용단박상용부산광역시 금정구 부산대학로63번길 2, 부산대학교 예술관○ 지역사회의 건강한 문화예술활동에 관한 사업○ 문화예술 창작활동 및 공연예술활동○ 전문예술인 양성교육○ 문화예술 인재발굴 및 육성○ 기타 단체설립의 목적달성에 필요한 사업<NA>2023-09-14문화예술과등록
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826시도부산광역시966지방분권균형발전 부산시민연대박재율부산광역시 동구 중앙대로320번길 7-5, 5층(초량동)○ 지방분권·균형발전 관련 각종 정책 수립, 부산 균형발전 정책과제 실현을 위한 시민운동 전개○ 전국 단위의 지방분권균형발전 실현을 위한 시민운동 네트워크 활동 전개051-806-90322023-09-25자치분권과등록