Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory858.0 B
Average record size in memory39.0 B

Variable types

Numeric1
Text3

Dataset

Description서울특별시 영등포구 관내 주택관리업체 등록 현황 제공 데이터- 주택관리업체명- 소재지(도로명 주소)- 관리업체 전화번호
Author서울특별시 영등포구
URLhttps://www.data.go.kr/data/15035294/fileData.do

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:00:44.755496
Analysis finished2023-12-12 22:00:45.162475
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:00:45.226043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-13T07:00:45.340092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업체명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:00:45.539816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.5454545
Min length3

Characters and Unicode

Total characters144
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row㈜고암
2nd row㈜한성세영비엔에이
3rd row㈜진은종합개발
4th row일신주택관리㈜
5th row㈜건은
ValueCountFrequency (%)
㈜고암 1
 
4.3%
㈜한울이엠 1
 
4.3%
조아비엠씨 1
 
4.3%
홍익지엠㈜ 1
 
4.3%
엘림에스㈜ 1
 
4.3%
㈜세이프원 1
 
4.3%
미성엠프로㈜ 1
 
4.3%
㈜한화에스테이트서비스 1
 
4.3%
㈜퍼스트시큐리티 1
 
4.3%
㈜지엔비시스템 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T07:00:45.955695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 18
 
12.5%
스 7
 
4.9%
엠 6
 
4.2%
비 6
 
4.2%
리 5
 
3.5%
주 5
 
3.5%
이 5
 
3.5%
관 4
 
2.8%
업 3
 
2.1%
( 3
 
2.1%
Other values (54) 82
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
82.6%
Other Symbol 18
 
12.5%
Open Punctuation 3
 
2.1%
Close Punctuation 3
 
2.1%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 7
 
5.9%
엠 6
 
5.0%
비 6
 
5.0%
리 5
 
4.2%
주 5
 
4.2%
이 5
 
4.2%
관 4
 
3.4%
업 3
 
2.5%
조 3
 
2.5%
은 3
 
2.5%
Other values (50) 72
60.5%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
95.1%
Common 7
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 18
 
13.1%
스 7
 
5.1%
엠 6
 
4.4%
비 6
 
4.4%
리 5
 
3.6%
주 5
 
3.6%
이 5
 
3.6%
관 4
 
2.9%
업 3
 
2.2%
조 3
 
2.2%
Other values (51) 75
54.7%
Common
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
82.6%
None 18
 
12.5%
ASCII 7
 
4.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 18
100.0%
Hangul
ValueCountFrequency (%)
스 7
 
5.9%
엠 6
 
5.0%
비 6
 
5.0%
리 5
 
4.2%
주 5
 
4.2%
이 5
 
4.2%
관 4
 
3.4%
업 3
 
2.5%
조 3
 
2.5%
은 3
 
2.5%
Other values (50) 72
60.5%
ASCII
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
1
 
14.3%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:00:46.223300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length36.227273
Min length22

Characters and Unicode

Total characters797
Distinct characters102
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 당산로47길 19(당산동6가)
2nd row서울특별시 영등포구 시흥대로173길 13, 101동 110호(대림동, 신대림자이)
3rd row서울특별시 영등포구 양평로14길 4, 3층(당산동6가, 환희빌딩)
4th row서울특별시 영등포구 당산로 180, 202호(당산동4가, 신우상가)
5th row서울특별시 영등포구 여의대방로 379, 909호(여의도동, 제일빌딩)
ValueCountFrequency (%)
서울특별시 22
 
17.6%
영등포구 22
 
17.6%
당산로 3
 
2.4%
우리벤처타운2 2
 
1.6%
70 2
 
1.6%
202호 2
 
1.6%
선유로 2
 
1.6%
대림로 1
 
0.8%
14 1
 
0.8%
9층(문래동3가 1
 
0.8%
Other values (67) 67
53.6%
2023-12-13T07:00:46.622068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
12.9%
, 35
 
4.4%
1 29
 
3.6%
시 24
 
3.0%
영 23
 
2.9%
등 23
 
2.9%
포 23
 
2.9%
서 22
 
2.8%
로 22
 
2.8%
2 22
 
2.8%
Other values (92) 471
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
59.8%
Decimal Number 142
 
17.8%
Space Separator 103
 
12.9%
Other Punctuation 35
 
4.4%
Open Punctuation 19
 
2.4%
Close Punctuation 19
 
2.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 24
 
5.0%
영 23
 
4.8%
등 23
 
4.8%
포 23
 
4.8%
서 22
 
4.6%
로 22
 
4.6%
동 22
 
4.6%
울 22
 
4.6%
구 22
 
4.6%
특 22
 
4.6%
Other values (77) 252
52.8%
Decimal Number
ValueCountFrequency (%)
1 29
20.4%
2 22
15.5%
0 22
15.5%
3 20
14.1%
7 13
9.2%
4 10
 
7.0%
6 9
 
6.3%
8 8
 
5.6%
9 6
 
4.2%
5 3
 
2.1%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
59.8%
Common 320
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 24
 
5.0%
영 23
 
4.8%
등 23
 
4.8%
포 23
 
4.8%
서 22
 
4.6%
로 22
 
4.6%
동 22
 
4.6%
울 22
 
4.6%
구 22
 
4.6%
특 22
 
4.6%
Other values (77) 252
52.8%
Common
ValueCountFrequency (%)
103
32.2%
, 35
 
10.9%
1 29
 
9.1%
2 22
 
6.9%
0 22
 
6.9%
3 20
 
6.2%
( 19
 
5.9%
) 19
 
5.9%
7 13
 
4.1%
4 10
 
3.1%
Other values (5) 28
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
59.8%
ASCII 320
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
32.2%
, 35
 
10.9%
1 29
 
9.1%
2 22
 
6.9%
0 22
 
6.9%
3 20
 
6.2%
( 19
 
5.9%
) 19
 
5.9%
7 13
 
4.1%
4 10
 
3.1%
Other values (5) 28
 
8.8%
Hangul
ValueCountFrequency (%)
시 24
 
5.0%
영 23
 
4.8%
등 23
 
4.8%
포 23
 
4.8%
서 22
 
4.6%
로 22
 
4.6%
동 22
 
4.6%
울 22
 
4.6%
구 22
 
4.6%
특 22
 
4.6%
Other values (77) 252
52.8%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:00:46.819733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.5
Min length9

Characters and Unicode

Total characters253
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

Unique22 ?
Unique (%)100.0%

Sample

1st row02-2168-7115
2nd row02-2636-1239
3rd row02-2631-3954
4th row02-3667-2111
5th row02-780-0558
ValueCountFrequency (%)
02-2168-7115 1
 
4.5%
02-2636-1239 1
 
4.5%
02-2632-0212 1
 
4.5%
02-6082-5457 1
 
4.5%
02-2166-1579 1
 
4.5%
02-3660-6806 1
 
4.5%
02-789-5692 1
 
4.5%
1544-4425 1
 
4.5%
02-3770-4813 1
 
4.5%
02-2122-7616 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T07:00:47.146708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 44
17.4%
- 43
17.0%
0 36
14.2%
6 24
9.5%
1 23
9.1%
7 18
7.1%
3 18
7.1%
8 16
 
6.3%
5 15
 
5.9%
4 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.0%
Dash Punctuation 43
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 44
21.0%
0 36
17.1%
6 24
11.4%
1 23
11.0%
7 18
8.6%
3 18
8.6%
8 16
 
7.6%
5 15
 
7.1%
4 9
 
4.3%
9 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 44
17.4%
- 43
17.0%
0 36
14.2%
6 24
9.5%
1 23
9.1%
7 18
7.1%
3 18
7.1%
8 16
 
6.3%
5 15
 
5.9%
4 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 44
17.4%
- 43
17.0%
0 36
14.2%
6 24
9.5%
1 23
9.1%
7 18
7.1%
3 18
7.1%
8 16
 
6.3%
5 15
 
5.9%
4 9
 
3.6%

Interactions

2023-12-13T07:00:44.952913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:00:47.257231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지전화번호
연번1.0001.0001.0001.000
업체명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T07:00:45.048928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:00:45.131479image/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

연번업체명소재지전화번호
01㈜고암서울특별시 영등포구 당산로47길 19(당산동6가)02-2168-7115
12㈜한성세영비엔에이서울특별시 영등포구 시흥대로173길 13, 101동 110호(대림동, 신대림자이)02-2636-1239
23㈜진은종합개발서울특별시 영등포구 양평로14길 4, 3층(당산동6가, 환희빌딩)02-2631-3954
34일신주택관리㈜서울특별시 영등포구 당산로 180, 202호(당산동4가, 신우상가)02-3667-2111
45㈜건은서울특별시 영등포구 여의대방로 379, 909호(여의도동, 제일빌딩)02-780-0558
56㈜디엠지관리서울특별시 영등포구 대방천로 258(신길동, 보라매골프존)02-833-8531
67㈜비티엠써비스서울특별시 영등포구 경인로 775, 1동 821호(문래동3가, 에이스하이테크시티)02-3483-2000
78㈜경진관리서울특별시 영등포구 양산로 90-4, 2층(당산동2가)02-838-3101
89신우산업관리㈜서울특별시 영등포구 당산로 171, 1101호, 207호(당산동4가, 금강펜테리움아이티타워)02-587-7691
910명진기업(주)서울특별시 영등포구 영등포로 21, 401호(양평동2가, 양평빌딩)02-2671-8326
연번업체명소재지전화번호
1213㈜한울이엠서울특별시 영등포구 국회대로62길 14, 703호(여의도동, 한국스카우트연맹회관)02-785-0057
1314㈜조은시스템서울특별시 영등포구 선유로 70, 9층(문래동3가, 우리벤처타운2)02-2122-7616
1415㈜지엔비시스템서울특별시 영등포구 국제금융로8길 27-8, 3층(여의도동,엔에이치농협캐피탈빌딩)02-3770-4813
1516㈜퍼스트시큐리티서울특별시 영등포구 국회대로76길 33(여의도동)1544-4425
1617㈜한화에스테이트서비스서울특별시 영등포구 63로 50, 13층(여의도동, 63빌딩)02-789-5692
1718미성엠프로㈜서울특별시 영등포구 당산로 118, 102호, 702호(당산동3가, 대흥빌딩)02-3660-6806
1819㈜세이프원서울특별시 영등포구 선유로 70, 우리벤처타운2 301호(문래동3가)02-2166-1579
1920엘림에스㈜서울특별시 영등포구 양산로16, 202호02-6082-5457
2021홍익지엠㈜서울특별시 영등포구 버드나루로14가길 10, 동우빌딩 203호02-2632-0212
2122조아비엠씨 주식회사서울특별시 영등포구 대림로 182, 202호02-875-7942