Overview

Dataset statistics

Number of variables5
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory41.6 B

Variable types

Text2
Categorical1
DateTime2

Dataset

Description서울특별시 광진구 관내의 행정사사무소 현황에 대한 데이터를 제공합니다. 업체명, 주소, 영업신고일 등의 내용을 포함하고 있습니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15028806/fileData.do

Alerts

데이터기준일 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:52:49.685827
Analysis finished2024-03-14 11:52:51.031916
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size752.0 B
2024-03-14T20:52:51.816483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.5384615
Min length2

Characters and Unicode

Total characters744
Distinct characters149
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row행정사사무소 정평
2nd row김앤이 합동 법무사 사무소
3rd row황금 행정사 사무소
4th row삼정행정사사무소
5th row글로벌 행정사 사무소
ValueCountFrequency (%)
행정사 39
22.8%
사무소 33
19.3%
행정사사무소 9
 
5.3%
사무실 2
 
1.2%
유영웅행정사 1
 
0.6%
이기걸 1
 
0.6%
송남수 1
 
0.6%
김현동 1
 
0.6%
배금환 1
 
0.6%
광진행정사 1
 
0.6%
Other values (82) 82
48.0%
2024-03-14T20:52:52.956245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 134
18.0%
93
12.5%
정 79
 
10.6%
행 74
 
9.9%
무 60
 
8.1%
소 57
 
7.7%
이 11
 
1.5%
김 9
 
1.2%
상 6
 
0.8%
현 5
 
0.7%
Other values (139) 216
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
84.3%
Space Separator 93
 
12.5%
Uppercase Letter 15
 
2.0%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 134
21.4%
정 79
12.6%
행 74
 
11.8%
무 60
 
9.6%
소 57
 
9.1%
이 11
 
1.8%
김 9
 
1.4%
상 6
 
1.0%
현 5
 
0.8%
진 5
 
0.8%
Other values (122) 187
29.8%
Uppercase Letter
ValueCountFrequency (%)
O 2
13.3%
T 2
13.3%
I 2
13.3%
S 2
13.3%
A 1
6.7%
E 1
6.7%
H 1
6.7%
V 1
6.7%
N 1
6.7%
U 1
6.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
84.1%
Common 102
 
13.7%
Latin 15
 
2.0%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 134
21.4%
정 79
12.6%
행 74
 
11.8%
무 60
 
9.6%
소 57
 
9.1%
이 11
 
1.8%
김 9
 
1.4%
상 6
 
1.0%
현 5
 
0.8%
진 5
 
0.8%
Other values (121) 186
29.7%
Latin
ValueCountFrequency (%)
O 2
13.3%
T 2
13.3%
I 2
13.3%
S 2
13.3%
A 1
6.7%
E 1
6.7%
H 1
6.7%
V 1
6.7%
N 1
6.7%
U 1
6.7%
Common
ValueCountFrequency (%)
93
91.2%
) 3
 
2.9%
( 3
 
2.9%
3 1
 
1.0%
5 1
 
1.0%
1 1
 
1.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
84.1%
ASCII 117
 
15.7%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 134
21.4%
정 79
12.6%
행 74
 
11.8%
무 60
 
9.6%
소 57
 
9.1%
이 11
 
1.8%
김 9
 
1.4%
상 6
 
1.0%
현 5
 
0.8%
진 5
 
0.8%
Other values (121) 186
29.7%
ASCII
ValueCountFrequency (%)
93
79.5%
) 3
 
2.6%
( 3
 
2.6%
O 2
 
1.7%
T 2
 
1.7%
I 2
 
1.7%
S 2
 
1.7%
A 1
 
0.9%
3 1
 
0.9%
5 1
 
0.9%
Other values (7) 7
 
6.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

주소
Text

Distinct74
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size752.0 B
2024-03-14T20:52:54.029289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length37.641026
Min length13

Characters and Unicode

Total characters2936
Distinct characters112
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

Unique71 ?
Unique (%)91.0%

Sample

1st row[04969]서울특별시 광진구 아차산로78길 47, 303호 (광장동, 이성 리베바움)
2nd row[05043]서울특별시 광진구 자양로 126, 성지하이츠, 609호 (구의동)
3rd row[05073]서울특별시 광진구 아차산로30길 39, 1층 5호 (자양동)
4th row[04969]서울특별시 광진구 아차산로78길 75, 319,321,322,1009호 (광장동)
5th row[04918]서울특별시 광진구 능동로 327-1, 202호 (중곡동)
ValueCountFrequency (%)
광진구 78
 
16.7%
구의동 19
 
4.1%
중곡동 19
 
4.1%
자양동 18
 
3.8%
아차산로 17
 
3.6%
05044]서울특별시 11
 
2.4%
자양로 10
 
2.1%
능동로 10
 
2.1%
1층 8
 
1.7%
327-1 8
 
1.7%
Other values (200) 270
57.7%
2024-03-14T20:52:55.356126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
390
 
13.3%
0 175
 
6.0%
1 106
 
3.6%
동 102
 
3.5%
구 100
 
3.4%
5 94
 
3.2%
4 87
 
3.0%
광 86
 
2.9%
진 79
 
2.7%
3 79
 
2.7%
Other values (102) 1638
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
45.7%
Decimal Number 808
27.5%
Space Separator 390
 
13.3%
Open Punctuation 154
 
5.2%
Close Punctuation 154
 
5.2%
Other Punctuation 68
 
2.3%
Dash Punctuation 18
 
0.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
 
7.6%
구 100
 
7.5%
광 86
 
6.4%
진 79
 
5.9%
시 79
 
5.9%
별 78
 
5.8%
특 78
 
5.8%
울 78
 
5.8%
서 78
 
5.8%
로 77
 
5.7%
Other values (81) 506
37.7%
Decimal Number
ValueCountFrequency (%)
0 175
21.7%
1 106
13.1%
5 94
11.6%
4 87
10.8%
3 79
9.8%
2 78
9.7%
9 63
 
7.8%
7 54
 
6.7%
8 38
 
4.7%
6 34
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
S 1
33.3%
D 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 77
50.0%
[ 77
50.0%
Close Punctuation
ValueCountFrequency (%)
) 77
50.0%
] 77
50.0%
Other Punctuation
ValueCountFrequency (%)
, 67
98.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1592
54.2%
Hangul 1341
45.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
 
7.6%
구 100
 
7.5%
광 86
 
6.4%
진 79
 
5.9%
시 79
 
5.9%
별 78
 
5.8%
특 78
 
5.8%
울 78
 
5.8%
서 78
 
5.8%
로 77
 
5.7%
Other values (81) 506
37.7%
Common
ValueCountFrequency (%)
390
24.5%
0 175
11.0%
1 106
 
6.7%
5 94
 
5.9%
4 87
 
5.5%
3 79
 
5.0%
2 78
 
4.9%
( 77
 
4.8%
) 77
 
4.8%
[ 77
 
4.8%
Other values (8) 352
22.1%
Latin
ValueCountFrequency (%)
K 1
33.3%
S 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1595
54.3%
Hangul 1341
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
390
24.5%
0 175
11.0%
1 106
 
6.6%
5 94
 
5.9%
4 87
 
5.5%
3 79
 
5.0%
2 78
 
4.9%
( 77
 
4.8%
) 77
 
4.8%
[ 77
 
4.8%
Other values (11) 355
22.3%
Hangul
ValueCountFrequency (%)
동 102
 
7.6%
구 100
 
7.5%
광 86
 
6.4%
진 79
 
5.9%
시 79
 
5.9%
별 78
 
5.8%
특 78
 
5.8%
울 78
 
5.8%
서 78
 
5.8%
로 77
 
5.7%
Other values (81) 506
37.7%

행정동
Categorical

Distinct7
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size752.0 B
자양동
25 
구의동
20 
중곡동
20 
광장동
5 
군자동
4 
Other values (2)
4 

Length

Max length3
Median length3
Mean length2.9487179
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row광장동
2nd row구의동
3rd row자양동
4th row광장동
5th row중곡동

Common Values

ValueCountFrequency (%)
자양동 25
32.1%
구의동 20
25.6%
중곡동 20
25.6%
광장동 5
 
6.4%
군자동 4
 
5.1%
능동 3
 
3.8%
화양 1
 
1.3%

Length

2024-03-14T20:52:55.690133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:52:56.044962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자양동 25
32.1%
구의동 20
25.6%
중곡동 20
25.6%
광장동 5
 
6.4%
군자동 4
 
5.1%
능동 3
 
3.8%
화양 1
 
1.3%

영업신고일
Date

Distinct74
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size752.0 B
Minimum1990-09-20 00:00:00
Maximum2024-01-31 00:00:00
2024-03-14T20:52:56.439590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:52:56.866712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size752.0 B
Minimum2024-02-22 00:00:00
Maximum2024-02-22 00:00:00
2024-03-14T20:52:57.202136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:52:57.497015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-14T20:52:57.709755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명주소행정동영업신고일
업체명1.0001.0001.0001.000
주소1.0001.0001.0000.989
행정동1.0001.0001.0000.930
영업신고일1.0000.9890.9301.000

Missing values

2024-03-14T20:52:50.593699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:52:50.903252image/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

업체명주소행정동영업신고일데이터기준일
0행정사사무소 정평[04969]서울특별시 광진구 아차산로78길 47, 303호 (광장동, 이성 리베바움)광장동2024-01-312024-02-22
1김앤이 합동 법무사 사무소[05043]서울특별시 광진구 자양로 126, 성지하이츠, 609호 (구의동)구의동2024-01-192024-02-22
2황금 행정사 사무소[05073]서울특별시 광진구 아차산로30길 39, 1층 5호 (자양동)자양동2023-08-012024-02-22
3삼정행정사사무소[04969]서울특별시 광진구 아차산로78길 75, 319,321,322,1009호 (광장동)광장동2023-05-252024-02-22
4글로벌 행정사 사무소[04918]서울특별시 광진구 능동로 327-1, 202호 (중곡동)중곡동2023-05-222024-02-22
5한주 행정사 사무소[04969]서울특별시 광진구 아차산로78길 75, 8층 912호 (광장동)광장동2023-04-122024-02-22
6여름 행정사 사무소[04990]서울특별시 광진구 천호대로110길 104, 402호(능동)능동2023-02-012024-02-22
7서율행정사사무소[05039]서울특별시 광진구 자양로 136, 2층(구의동)구의동2022-10-172024-02-22
8소망국제행정사[05078]서울특별시 광진구 뚝섬로27길 65(자양동)자양동2022-07-222024-02-22
9김재형 행정사사무소[05074]서울특별시 광진구 뚝섬로31길 20, 102동 1804호(자양동, 대동아파트)자양동2022-07-202024-02-22
업체명주소행정동영업신고일데이터기준일
68전상규 행정사무소[04953]서울특별시 광진구 천호대로127길 21-1 (중곡동)중곡동2010-01-262024-02-22
69대신[04923]서울특별시 광진구 용마산로7길 11 (중곡동)중곡동2009-09-152024-02-22
70하나상사[05044]서울특별시 광진구 아차산로 403 (구의동)구의동2001-08-142024-02-22
71이상칠행정사[05044]서울특별시 광진구 아차산로 415 (구의동)구의동1996-07-222024-02-22
72건국 행정사서울특별시 광진구 구의동구의동1999-11-292024-02-22
73행정사 정호택 사무소[05003]서울특별시 광진구 광나루로 351 (군자동)군자동2005-04-272024-02-22
74행정사 박종길 사무소[05044]서울특별시 광진구 아차산로 395, 202호 (구의동)구의동2012-03-062024-02-22
75이상훈 행정사사무소[05080]서울특별시 광진구 동일로10길 10, 1동 102호 (자양동)자양동2023-08-042024-02-22
76행정사 최현수 사무소[05051]서울특별시 광진구 아차산로 382 (자양동)자양동2012-11-192024-02-22
77수(秀)행정사 사무소[04997]서울특별시 광진구 능동로 275, 3층 308호 (군자동, 비젼빌딩)군자동2012-11-272024-02-22