Overview

Dataset statistics

Number of variables12
Number of observations45
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory100.8 B

Variable types

Numeric2
Text5
Categorical3
DateTime2

Dataset

Description이 데이터는 서울특별시 동작구 실내건축공사업에 관한 데이터로서 상호, 업종, 소재지, 분야, 전화번호 등에 관한 정보를 제공합니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15100985/fileData.do

Alerts

업체상태 has constant value ""Constant
업종 has constant value ""Constant
주력분야 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 1 (2.2%) missing valuesMissing
연번 has unique valuesUnique
대표자 has unique valuesUnique
등록번호 has unique valuesUnique
등록일 has unique valuesUnique
영업소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:54:15.296192
Analysis finished2024-03-14 12:54:17.916723
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-03-14T21:54:18.124766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-03-14T21:54:18.540959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

상호
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-14T21:54:19.415641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.2
Min length4

Characters and Unicode

Total characters369
Distinct characters109
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

Unique43 ?
Unique (%)95.6%

Sample

1st row(주)공간플랜
2nd row(주)대림플랜
3rd row(주)대신시앤에이
4th row(주)대암이엔지
5th row(주)대원에스앤디
ValueCountFrequency (%)
우진인테리어 2
 
4.4%
주)공간플랜 1
 
2.2%
민아이앤씨(주 1
 
2.2%
부강설비기공(주 1
 
2.2%
주)희망하우징 1
 
2.2%
건아키테리어(주 1
 
2.2%
경남인테리어 1
 
2.2%
고현건설(주 1
 
2.2%
다온기업 1
 
2.2%
더아이주식회사 1
 
2.2%
Other values (34) 34
75.6%
2024-03-14T21:54:20.390941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
10.6%
( 33
 
8.9%
) 33
 
8.9%
인 16
 
4.3%
이 16
 
4.3%
디 12
 
3.3%
자 11
 
3.0%
리 8
 
2.2%
사 7
 
1.9%
스 7
 
1.9%
Other values (99) 187
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
82.1%
Open Punctuation 33
 
8.9%
Close Punctuation 33
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
12.9%
인 16
 
5.3%
이 16
 
5.3%
디 12
 
4.0%
자 11
 
3.6%
리 8
 
2.6%
사 7
 
2.3%
스 7
 
2.3%
우 6
 
2.0%
식 6
 
2.0%
Other values (97) 175
57.8%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
82.1%
Common 66
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
12.9%
인 16
 
5.3%
이 16
 
5.3%
디 12
 
4.0%
자 11
 
3.6%
리 8
 
2.6%
사 7
 
2.3%
스 7
 
2.3%
우 6
 
2.0%
식 6
 
2.0%
Other values (97) 175
57.8%
Common
ValueCountFrequency (%)
( 33
50.0%
) 33
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
82.1%
ASCII 66
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
12.9%
인 16
 
5.3%
이 16
 
5.3%
디 12
 
4.0%
자 11
 
3.6%
리 8
 
2.6%
사 7
 
2.3%
스 7
 
2.3%
우 6
 
2.0%
식 6
 
2.0%
Other values (97) 175
57.8%
ASCII
ValueCountFrequency (%)
( 33
50.0%
) 33
50.0%

대표자
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-14T21:54:21.235800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9555556
Min length2

Characters and Unicode

Total characters133
Distinct characters65
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

Unique45 ?
Unique (%)100.0%

Sample

1st row이진권
2nd row유명순
3rd row두미향
4th row이용우
5th row노창진
ValueCountFrequency (%)
이진권 1
 
2.2%
김경록 1
 
2.2%
장윤석 1
 
2.2%
이대현 1
 
2.2%
이화선 1
 
2.2%
맹민희 1
 
2.2%
장경곤 1
 
2.2%
손호승 1
 
2.2%
박정윤 1
 
2.2%
강선옥 1
 
2.2%
Other values (35) 35
77.8%
2024-03-14T21:54:22.545616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9
 
6.8%
김 9
 
6.8%
정 6
 
4.5%
진 5
 
3.8%
장 4
 
3.0%
경 4
 
3.0%
호 4
 
3.0%
윤 4
 
3.0%
강 4
 
3.0%
석 4
 
3.0%
Other values (55) 80
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
6.8%
김 9
 
6.8%
정 6
 
4.5%
진 5
 
3.8%
장 4
 
3.0%
경 4
 
3.0%
호 4
 
3.0%
윤 4
 
3.0%
강 4
 
3.0%
석 4
 
3.0%
Other values (55) 80
60.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
6.8%
김 9
 
6.8%
정 6
 
4.5%
진 5
 
3.8%
장 4
 
3.0%
경 4
 
3.0%
호 4
 
3.0%
윤 4
 
3.0%
강 4
 
3.0%
석 4
 
3.0%
Other values (55) 80
60.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9
 
6.8%
김 9
 
6.8%
정 6
 
4.5%
진 5
 
3.8%
장 4
 
3.0%
경 4
 
3.0%
호 4
 
3.0%
윤 4
 
3.0%
강 4
 
3.0%
석 4
 
3.0%
Other values (55) 80
60.2%

업체상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
정상
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 45
100.0%

Length

2024-03-14T21:54:22.941936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:54:23.251994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 45
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
실내건축공사업
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사업 45
100.0%

Length

2024-03-14T21:54:23.580368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:54:23.891466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 45
100.0%

등록번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-14T21:54:24.608680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.688889
Min length8

Characters and Unicode

Total characters481
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row마포20-01-17
2nd row양천2017-01-02
3rd row동작-08-01-02
4th row동작-23-나-07
5th row함안2007-01-08
ValueCountFrequency (%)
동작 6
 
11.8%
마포20-01-17 1
 
2.0%
동작-18-01-02 1
 
2.0%
동작-13-01-04 1
 
2.0%
23-나-05 1
 
2.0%
동작-15-01-02 1
 
2.0%
동작-19-01-03 1
 
2.0%
동작-15-01-01 1
 
2.0%
영등포17-01-09 1
 
2.0%
영등포14-01-01 1
 
2.0%
Other values (36) 36
70.6%
2024-03-14T21:54:25.607890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
24.9%
0 86
17.9%
1 71
14.8%
2 42
 
8.7%
동 30
 
6.2%
작 30
 
6.2%
3 15
 
3.1%
4 10
 
2.1%
나 10
 
2.1%
7 9
 
1.9%
Other values (23) 58
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 253
52.6%
Dash Punctuation 120
24.9%
Other Letter 102
21.2%
Space Separator 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
29.4%
작 30
29.4%
나 10
 
9.8%
포 4
 
3.9%
남 3
 
2.9%
서 3
 
2.9%
초 2
 
2.0%
강 2
 
2.0%
영 2
 
2.0%
마 2
 
2.0%
Other values (11) 14
13.7%
Decimal Number
ValueCountFrequency (%)
0 86
34.0%
1 71
28.1%
2 42
16.6%
3 15
 
5.9%
4 10
 
4.0%
7 9
 
3.6%
9 9
 
3.6%
5 6
 
2.4%
8 3
 
1.2%
6 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
78.8%
Hangul 102
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
29.4%
작 30
29.4%
나 10
 
9.8%
포 4
 
3.9%
남 3
 
2.9%
서 3
 
2.9%
초 2
 
2.0%
강 2
 
2.0%
영 2
 
2.0%
마 2
 
2.0%
Other values (11) 14
13.7%
Common
ValueCountFrequency (%)
- 120
31.7%
0 86
22.7%
1 71
18.7%
2 42
 
11.1%
3 15
 
4.0%
4 10
 
2.6%
7 9
 
2.4%
9 9
 
2.4%
5 6
 
1.6%
6
 
1.6%
Other values (2) 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
78.8%
Hangul 102
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
31.7%
0 86
22.7%
1 71
18.7%
2 42
 
11.1%
3 15
 
4.0%
4 10
 
2.6%
7 9
 
2.4%
9 9
 
2.4%
5 6
 
1.6%
6
 
1.6%
Other values (2) 5
 
1.3%
Hangul
ValueCountFrequency (%)
동 30
29.4%
작 30
29.4%
나 10
 
9.8%
포 4
 
3.9%
남 3
 
2.9%
서 3
 
2.9%
초 2
 
2.0%
강 2
 
2.0%
영 2
 
2.0%
마 2
 
2.0%
Other values (11) 14
13.7%

등록일
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
Minimum1991-05-31 00:00:00
Maximum2024-01-30 00:00:00
2024-03-14T21:54:25.894956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:54:26.183964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

주력분야
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
실내건축공사
45 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사 45
100.0%

Length

2024-03-14T21:54:26.395400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:54:26.568108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사 45
100.0%

우편번호
Real number (ℝ)

Distinct32
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7004.5556
Minimum6908
Maximum7072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-03-14T21:54:26.783344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6908
5-th percentile6928
Q16970
median7008
Q37055
95-th percentile7071
Maximum7072
Range164
Interquartile range (IQR)85

Descriptive statistics

Standard deviation48.76267
Coefficient of variation (CV)0.0069615652
Kurtosis-1.0714413
Mean7004.5556
Median Absolute Deviation (MAD)47
Skewness-0.19532357
Sum315205
Variance2377.798
MonotonicityNot monotonic
2024-03-14T21:54:27.200036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7071 4
 
8.9%
7055 2
 
4.4%
6949 2
 
4.4%
6950 2
 
4.4%
7025 2
 
4.4%
7004 2
 
4.4%
6996 2
 
4.4%
7072 2
 
4.4%
7014 2
 
4.4%
7064 2
 
4.4%
Other values (22) 23
51.1%
ValueCountFrequency (%)
6908 1
2.2%
6918 1
2.2%
6927 1
2.2%
6932 1
2.2%
6942 1
2.2%
6943 1
2.2%
6949 2
4.4%
6950 2
4.4%
6951 1
2.2%
6970 2
4.4%
ValueCountFrequency (%)
7072 2
4.4%
7071 4
8.9%
7064 2
4.4%
7061 1
 
2.2%
7060 1
 
2.2%
7055 2
4.4%
7033 1
 
2.2%
7031 1
 
2.2%
7030 1
 
2.2%
7025 2
4.4%

영업소재지
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-14T21:54:28.482611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length31.955556
Min length23

Characters and Unicode

Total characters1438
Distinct characters94
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 여의대방로24길 77 지하1층 (대방동)
2nd row서울특별시 동작구 등용로14길 77-7 1층 (노량진동)
3rd row서울특별시 동작구 상도로15길 83, 영우사빌딩 2층 (상도동)
4th row서울특별시 동작구 상도로19길 14 2층 (상도동)
5th row서울특별시 동작구 남부순환로 2075 9층 (사당동)
ValueCountFrequency (%)
서울특별시 45
 
15.9%
동작구 45
 
15.9%
사당동 15
 
5.3%
신대방동 9
 
3.2%
상도동 7
 
2.5%
2층 6
 
2.1%
1층 6
 
2.1%
대방동 4
 
1.4%
3층 4
 
1.4%
101호 3
 
1.1%
Other values (122) 139
49.1%
2024-03-14T21:54:30.224592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
16.6%
동 104
 
7.2%
1 65
 
4.5%
작 55
 
3.8%
서 48
 
3.3%
) 46
 
3.2%
( 46
 
3.2%
특 45
 
3.1%
별 45
 
3.1%
시 45
 
3.1%
Other values (84) 701
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 828
57.6%
Decimal Number 254
 
17.7%
Space Separator 238
 
16.6%
Close Punctuation 46
 
3.2%
Open Punctuation 46
 
3.2%
Other Punctuation 21
 
1.5%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
 
12.6%
작 55
 
6.6%
서 48
 
5.8%
특 45
 
5.4%
별 45
 
5.4%
시 45
 
5.4%
구 45
 
5.4%
울 45
 
5.4%
로 43
 
5.2%
대 32
 
3.9%
Other values (68) 321
38.8%
Decimal Number
ValueCountFrequency (%)
1 65
25.6%
2 40
15.7%
5 28
11.0%
0 26
 
10.2%
3 25
 
9.8%
7 21
 
8.3%
4 19
 
7.5%
6 11
 
4.3%
8 10
 
3.9%
9 9
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 18
85.7%
， 3
 
14.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 828
57.6%
Common 610
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
 
12.6%
작 55
 
6.6%
서 48
 
5.8%
특 45
 
5.4%
별 45
 
5.4%
시 45
 
5.4%
구 45
 
5.4%
울 45
 
5.4%
로 43
 
5.2%
대 32
 
3.9%
Other values (68) 321
38.8%
Common
ValueCountFrequency (%)
238
39.0%
1 65
 
10.7%
) 46
 
7.5%
( 46
 
7.5%
2 40
 
6.6%
5 28
 
4.6%
0 26
 
4.3%
3 25
 
4.1%
7 21
 
3.4%
4 19
 
3.1%
Other values (6) 56
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 828
57.6%
ASCII 607
42.2%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
39.2%
1 65
 
10.7%
) 46
 
7.6%
( 46
 
7.6%
2 40
 
6.6%
5 28
 
4.6%
0 26
 
4.3%
3 25
 
4.1%
7 21
 
3.5%
4 19
 
3.1%
Other values (5) 53
 
8.7%
Hangul
ValueCountFrequency (%)
동 104
 
12.6%
작 55
 
6.6%
서 48
 
5.8%
특 45
 
5.4%
별 45
 
5.4%
시 45
 
5.4%
구 45
 
5.4%
울 45
 
5.4%
로 43
 
5.2%
대 32
 
3.9%
Other values (68) 321
38.8%
None
ValueCountFrequency (%)
， 3
100.0%

전화번호
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size488.0 B
2024-03-14T21:54:31.132619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.204545
Min length11

Characters and Unicode

Total characters493
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

Unique44 ?
Unique (%)100.0%

Sample

1st row02-702-0443
2nd row02-2606-8223
3rd row02-816-1549
4th row02-824-5303
5th row02-581-5711
ValueCountFrequency (%)
02-702-0443 1
 
2.3%
02-2606-8223 1
 
2.3%
02-2069-3636 1
 
2.3%
02-822-9432 1
 
2.3%
02-831-0799 1
 
2.3%
02-856-6749 1
 
2.3%
02-824-8312 1
 
2.3%
02-821-6958 1
 
2.3%
02-3679-0594 1
 
2.3%
02-592-2373 1
 
2.3%
Other values (34) 34
77.3%
2024-03-14T21:54:32.179202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
17.8%
2 86
17.4%
0 64
13.0%
8 49
9.9%
4 35
 
7.1%
3 35
 
7.1%
5 32
 
6.5%
6 29
 
5.9%
7 27
 
5.5%
1 25
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 405
82.2%
Dash Punctuation 88
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
21.2%
0 64
15.8%
8 49
12.1%
4 35
8.6%
3 35
8.6%
5 32
 
7.9%
6 29
 
7.2%
7 27
 
6.7%
1 25
 
6.2%
9 23
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 493
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
17.8%
2 86
17.4%
0 64
13.0%
8 49
9.9%
4 35
 
7.1%
3 35
 
7.1%
5 32
 
6.5%
6 29
 
5.9%
7 27
 
5.5%
1 25
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
17.8%
2 86
17.4%
0 64
13.0%
8 49
9.9%
4 35
 
7.1%
3 35
 
7.1%
5 32
 
6.5%
6 29
 
5.9%
7 27
 
5.5%
1 25
 
5.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
Minimum2024-03-04 00:00:00
Maximum2024-03-04 00:00:00
2024-03-14T21:54:32.368194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:54:32.525352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T21:54:16.396075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:54:15.917352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:54:16.636067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:54:16.148383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:54:32.653274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호대표자등록번호등록일우편번호영업소재지전화번호
연번1.0000.9301.0001.0001.0000.2091.0001.000
상호0.9301.0001.0001.0001.0000.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.000
등록일1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.2090.0001.0001.0001.0001.0001.0001.000
영업소재지1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T21:54:32.890577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.0000.169
우편번호0.1691.000

Missing values

2024-03-14T21:54:17.015102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:54:17.783037image/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

연번상호대표자업체상태업종등록번호등록일주력분야우편번호영업소재지전화번호데이터기준일자
01(주)공간플랜이진권정상실내건축공사업마포20-01-172020-09-10실내건축공사7055서울특별시 동작구 여의대방로24길 77 지하1층 (대방동)02-702-04432024-03-04
12(주)대림플랜유명순정상실내건축공사업양천2017-01-022017-03-30실내건축공사6927서울특별시 동작구 등용로14길 77-7 1층 (노량진동)02-2606-82232024-03-04
23(주)대신시앤에이두미향정상실내건축공사업동작-08-01-022008-08-22실내건축공사6949서울특별시 동작구 상도로15길 83, 영우사빌딩 2층 (상도동)02-816-15492024-03-04
34(주)대암이엔지이용우정상실내건축공사업동작-23-나-072023-12-19실내건축공사6950서울특별시 동작구 상도로19길 14 2층 (상도동)02-824-53032024-03-04
45(주)대원에스앤디노창진정상실내건축공사업함안2007-01-082007-04-03실내건축공사7025서울특별시 동작구 남부순환로 2075 9층 (사당동)02-581-57112024-03-04
56(주)디자인대양김이순정상실내건축공사업동작-20-01-032020-04-10실내건축공사6979서울특별시 동작구 서달로14길 19 (흑석동)02-824-24632024-03-04
67(주)디자인비버케이강성백정상실내건축공사업광진-22-나-242022-11-03실내건축공사7004서울특별시 동작구 사당로 215 3층 306호 (사당동)02-461-32312024-03-04
78(주)디자인청운김학수정상실내건축공사업성남20-1-52020-02-19실내건축공사7055서울특별시 동작구 여의대방로24마길 5, 2층 2호 (대방동)02-825-34672024-03-04
89(주)미이광김대한정상실내건축공사업구로-06-1-052006-11-13실내건축공사6996서울특별시 동작구 동작대로35길 25 302호 (사당동)02-852-50952024-03-04
910(주)보석이엔씨김동우정상실내건축공사업동작-20-01-012020-02-20실내건축공사7072서울특별시 동작구 신대방1가길 38 110호 (신대방동)02-6332-22472024-03-04
연번상호대표자업체상태업종등록번호등록일주력분야우편번호영업소재지전화번호데이터기준일자
3536우진인테리어김명진정상실내건축공사업동작-19-01-052019-09-18실내건축공사6918서울특별시 동작구 만양로 26 103 (상도동, 건영아파트)02-826-88882024-03-04
3637우진인테리어김응석정상실내건축공사업동작-22-01-012022-02-22실내건축공사7064서울특별시 동작구 여의대방로 30 현대상가112동 1층 비107호 (신대방동)02-848-23892024-03-04
3738이자라(주)박진석정상실내건축공사업동작-20-01-022020-02-27실내건축공사7031서울특별시 동작구 솔밭로 59 4층 (사당동)02-588-23612024-03-04
3839주식회사공간디자인마루문성호정상실내건축공사업동작-21-01-022021-03-24실내건축공사6996서울특별시 동작구 동작대로 153 4층 (사당동)02-596-62472024-03-04
3940주식회사나은강나은정상실내건축공사업동작-17-01-012017-07-28실내건축공사7071서울특별시 동작구 보라매로5가길 24, 지1층 4호 (신대방동)02-814-18832024-03-04
4041주식회사디자인밀리미터길훈정상실내건축공사업동작 23-나-042023-07-31실내건축공사6950서울특별시 동작구 상도로15길 55 203호 (상도동)02-826-98242024-03-04
4142주식회사케이티서비스북부진근하정상실내건축공사업마포21-01-102021-06-16실내건축공사7071서울특별시 동작구 보라매로5길 35 8층 (신대방동, 파크스퀘어)02-750-07582024-03-04
4243주식회사프라임컴퍼니솔루션전지호정상실내건축공사업양천2022-나-072022-08-29실내건축공사7033서울특별시 동작구 상도로50길 2-9 201호 (상도1동)070-4247-99452024-03-04
4344토마토디자인(주)박인숙정상실내건축공사업동작 24-나-012024-01-30실내건축공사6970서울특별시 동작구 상도로47길 76 (상도1동)02-824-14732024-03-04
4445포코종합건설(주)장윤순정상실내건축공사업동작 23-나-032023-06-07실내건축공사7072서울특별시 동작구 신대방1가길 38 105동 207호，208호 (신대방동)02-866-67442024-03-04