Overview

Dataset statistics

Number of variables10
Number of observations60
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory84.2 B

Variable types

Numeric2
Text5
Categorical2
DateTime1

Dataset

Description서울특별시 광진구의 인테리어 업체현황 데이터로, 대표자명, 조직형태, 업종, 등록번호, 등록일자, 우편번호, 도로명주소, 전화번호 등을 제공합니다.
URLhttps://www.data.go.kr/data/15100869/fileData.do

Alerts

업종 has constant value ""Constant
조직형태 is highly imbalanced (64.7%)Imbalance
우편번호 has 1 (1.7%) missing valuesMissing
번호 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
등록번호 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:46:52.066627
Analysis finished2023-12-12 09:46:53.707360
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T18:46:53.792003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-12T18:46:53.953680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

업체명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:46:54.225822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.2166667
Min length4

Characters and Unicode

Total characters493
Distinct characters122
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

Unique60 ?
Unique (%)100.0%

Sample

1st row(유)제이더블유지
2nd row(주)거담건축
3rd row(주)공간디자인담
4th row(주)광건엔지니어링
5th row(주)굴지
ValueCountFrequency (%)
유)제이더블유지 1
 
1.7%
주)거담건축 1
 
1.7%
광건티앤씨(주 1
 
1.7%
주)전시과학 1
 
1.7%
주)제이스룸 1
 
1.7%
주)좋은공간제작소 1
 
1.7%
주)지성파트너스 1
 
1.7%
주)케이티엔지니어링 1
 
1.7%
주)코라코코리아 1
 
1.7%
주)코핸아이디 1
 
1.7%
Other values (50) 50
83.3%
2023-12-12T18:46:54.725156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 56
 
11.4%
) 56
 
11.4%
주 56
 
11.4%
디 24
 
4.9%
이 23
 
4.7%
인 19
 
3.9%
스 16
 
3.2%
자 16
 
3.2%
아 10
 
2.0%
에 9
 
1.8%
Other values (112) 208
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
77.3%
Open Punctuation 56
 
11.4%
Close Punctuation 56
 
11.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 56
 
14.7%
디 24
 
6.3%
이 23
 
6.0%
인 19
 
5.0%
스 16
 
4.2%
자 16
 
4.2%
아 10
 
2.6%
에 9
 
2.4%
건 9
 
2.4%
앤 7
 
1.8%
Other values (110) 192
50.4%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
77.3%
Common 112
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 56
 
14.7%
디 24
 
6.3%
이 23
 
6.0%
인 19
 
5.0%
스 16
 
4.2%
자 16
 
4.2%
아 10
 
2.6%
에 9
 
2.4%
건 9
 
2.4%
앤 7
 
1.8%
Other values (110) 192
50.4%
Common
ValueCountFrequency (%)
( 56
50.0%
) 56
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
77.3%
ASCII 112
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 56
50.0%
) 56
50.0%
Hangul
ValueCountFrequency (%)
주 56
 
14.7%
디 24
 
6.3%
이 23
 
6.0%
인 19
 
5.0%
스 16
 
4.2%
자 16
 
4.2%
아 10
 
2.6%
에 9
 
2.4%
건 9
 
2.4%
앤 7
 
1.8%
Other values (110) 192
50.4%

대표자
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:46:55.039113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2666667
Min length3

Characters and Unicode

Total characters196
Distinct characters84
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row정준원,송영석
2nd row장천수
3rd row이용주
4th row박석묵
5th row김태훈
ValueCountFrequency (%)
정준원,송영석 1
 
1.7%
장천수 1
 
1.7%
박성일 1
 
1.7%
이창용 1
 
1.7%
장정은 1
 
1.7%
오윤진 1
 
1.7%
최진성 1
 
1.7%
박종열 1
 
1.7%
이광진 1
 
1.7%
박희정 1
 
1.7%
Other values (50) 50
83.3%
2023-12-12T18:46:55.446768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
5.6%
정 10
 
5.1%
이 10
 
5.1%
영 9
 
4.6%
진 8
 
4.1%
박 8
 
4.1%
주 7
 
3.6%
재 5
 
2.6%
상 5
 
2.6%
오 4
 
2.0%
Other values (74) 119
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
98.0%
Other Punctuation 4
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
5.7%
정 10
 
5.2%
이 10
 
5.2%
영 9
 
4.7%
진 8
 
4.2%
박 8
 
4.2%
주 7
 
3.6%
재 5
 
2.6%
상 5
 
2.6%
오 4
 
2.1%
Other values (73) 115
59.9%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
98.0%
Common 4
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
5.7%
정 10
 
5.2%
이 10
 
5.2%
영 9
 
4.7%
진 8
 
4.2%
박 8
 
4.2%
주 7
 
3.6%
재 5
 
2.6%
상 5
 
2.6%
오 4
 
2.1%
Other values (73) 115
59.9%
Common
ValueCountFrequency (%)
, 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
98.0%
ASCII 4
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
5.7%
정 10
 
5.2%
이 10
 
5.2%
영 9
 
4.7%
진 8
 
4.2%
박 8
 
4.2%
주 7
 
3.6%
재 5
 
2.6%
상 5
 
2.6%
오 4
 
2.1%
Other values (73) 115
59.9%
ASCII
ValueCountFrequency (%)
, 4
100.0%

조직형태
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
주식회사
52 
개인
 
3
회사법인
 
2
기타법인
 
2
유한회사
 
1

Length

Max length4
Median length4
Mean length3.9
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row유한회사
2nd row주식회사
3rd row주식회사
4th row주식회사
5th row주식회사

Common Values

ValueCountFrequency (%)
주식회사 52
86.7%
개인 3
 
5.0%
회사법인 2
 
3.3%
기타법인 2
 
3.3%
유한회사 1
 
1.7%

Length

2023-12-12T18:46:55.577117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:46:55.688140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주식회사 52
86.7%
개인 3
 
5.0%
회사법인 2
 
3.3%
기타법인 2
 
3.3%
유한회사 1
 
1.7%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
실내건축공사업
60 

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 60
100.0%

Length

2023-12-12T18:46:55.809539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:46:55.938972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 60
100.0%

등록번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:46:56.134518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.066667
Min length10

Characters and Unicode

Total characters664
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row광진­18­01­01
2nd row광진­18­01­08
3rd row광진­16­01­06
4th row광진­11­01­01
5th row광진­21­01­17
ValueCountFrequency (%)
광진 2
 
3.2%
광진­18­01­01 1
 
1.6%
광진­04­01­04 1
 
1.6%
96­서울­01­19 1
 
1.6%
96­서울­01­20 1
 
1.6%
광진­19­01­10 1
 
1.6%
광진­21­01­09 1
 
1.6%
강동­13­01­01 1
 
1.6%
강남­08­01­08 1
 
1.6%
강남­12­01­06 1
 
1.6%
Other values (51) 51
82.3%
2023-12-12T18:46:56.514155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
­ 175
26.4%
1 130
19.6%
0 111
16.7%
광 43
 
6.5%
진 43
 
6.5%
2 33
 
5.0%
9 19
 
2.9%
8 18
 
2.7%
6 13
 
2.0%
4 11
 
1.7%
Other values (15) 68
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
54.7%
Format 175
26.4%
Other Letter 124
 
18.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 43
34.7%
진 43
34.7%
서 10
 
8.1%
강 5
 
4.0%
울 5
 
4.0%
남 4
 
3.2%
초 4
 
3.2%
구 3
 
2.4%
동 2
 
1.6%
대 2
 
1.6%
Other values (3) 3
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 130
35.8%
0 111
30.6%
2 33
 
9.1%
9 19
 
5.2%
8 18
 
5.0%
6 13
 
3.6%
4 11
 
3.0%
5 10
 
2.8%
7 9
 
2.5%
3 9
 
2.5%
Format
ValueCountFrequency (%)
­ 175
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
81.3%
Hangul 124
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 43
34.7%
진 43
34.7%
서 10
 
8.1%
강 5
 
4.0%
울 5
 
4.0%
남 4
 
3.2%
초 4
 
3.2%
구 3
 
2.4%
동 2
 
1.6%
대 2
 
1.6%
Other values (3) 3
 
2.4%
Common
ValueCountFrequency (%)
­ 175
32.4%
1 130
24.1%
0 111
20.6%
2 33
 
6.1%
9 19
 
3.5%
8 18
 
3.3%
6 13
 
2.4%
4 11
 
2.0%
5 10
 
1.9%
7 9
 
1.7%
Other values (2) 11
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
55.0%
None 175
26.4%
Hangul 124
 
18.7%

Most frequent character per block

None
ValueCountFrequency (%)
­ 175
100.0%
ASCII
ValueCountFrequency (%)
1 130
35.6%
0 111
30.4%
2 33
 
9.0%
9 19
 
5.2%
8 18
 
4.9%
6 13
 
3.6%
4 11
 
3.0%
5 10
 
2.7%
7 9
 
2.5%
3 9
 
2.5%
Hangul
ValueCountFrequency (%)
광 43
34.7%
진 43
34.7%
서 10
 
8.1%
강 5
 
4.0%
울 5
 
4.0%
남 4
 
3.2%
초 4
 
3.2%
구 3
 
2.4%
동 2
 
1.6%
대 2
 
1.6%
Other values (3) 3
 
2.4%

등록일자
Date

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum1991-05-31 00:00:00
Maximum2021-12-27 00:00:00
2023-12-12T18:46:56.677429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:46:56.850299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)66.1%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean5007.2881
Minimum4908
Maximum5116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T18:46:57.002927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4908
5-th percentile4918.8
Q14963
median4992
Q35053
95-th percentile5116
Maximum5116
Range208
Interquartile range (IQR)90

Descriptive statistics

Standard deviation64.348472
Coefficient of variation (CV)0.012850963
Kurtosis-1.1324733
Mean5007.2881
Median Absolute Deviation (MAD)55
Skewness0.24557236
Sum295430
Variance4140.7259
MonotonicityNot monotonic
2023-12-12T18:46:57.146234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4969 7
 
11.7%
5116 6
 
10.0%
4968 3
 
5.0%
5020 2
 
3.3%
4926 2
 
3.3%
4920 2
 
3.3%
5099 2
 
3.3%
4935 2
 
3.3%
5041 2
 
3.3%
4980 2
 
3.3%
Other values (29) 29
48.3%
ValueCountFrequency (%)
4908 1
1.7%
4916 1
1.7%
4917 1
1.7%
4919 1
1.7%
4920 2
3.3%
4926 2
3.3%
4930 1
1.7%
4935 2
3.3%
4940 1
1.7%
4949 1
1.7%
ValueCountFrequency (%)
5116 6
10.0%
5099 2
 
3.3%
5098 1
 
1.7%
5096 1
 
1.7%
5062 1
 
1.7%
5059 1
 
1.7%
5058 1
 
1.7%
5056 1
 
1.7%
5054 1
 
1.7%
5052 1
 
1.7%

도로명주소
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:46:57.391916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length39
Mean length32.9
Min length23

Characters and Unicode

Total characters1974
Distinct characters123
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 광나루로56길 85 판매동3층 에이01,에이02,에이03,비13호(테크노마트) (구의동)
2nd row서울특별시 광진구 용마산로7길 37 3층 (중곡동)
3rd row서울특별시 광진구 자양로 75 5층(자양동,삼원빌딩)
4th row서울특별시 광진구 천호대로136길 13 아이비타운 101，102호 (구의동)
5th row서울특별시 광진구 능동로 276, 503호(능동, 한성빌딩)
ValueCountFrequency (%)
서울특별시 60
 
16.7%
광진구 60
 
16.7%
중곡동 11
 
3.1%
자양동 9
 
2.5%
구의동 9
 
2.5%
아차산로78길 6
 
1.7%
광장동 6
 
1.7%
3층 6
 
1.7%
천호대로 5
 
1.4%
4층 4
 
1.1%
Other values (151) 183
51.0%
2023-12-12T18:46:57.890954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
 
15.1%
구 80
 
4.1%
광 76
 
3.9%
동 73
 
3.7%
1 70
 
3.5%
) 62
 
3.1%
( 62
 
3.1%
서 60
 
3.0%
특 60
 
3.0%
별 60
 
3.0%
Other values (113) 1072
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1152
58.4%
Decimal Number 347
 
17.6%
Space Separator 299
 
15.1%
Close Punctuation 62
 
3.1%
Open Punctuation 62
 
3.1%
Other Punctuation 48
 
2.4%
Dash Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 80
 
6.9%
광 76
 
6.6%
동 73
 
6.3%
서 60
 
5.2%
특 60
 
5.2%
별 60
 
5.2%
시 60
 
5.2%
진 60
 
5.2%
울 60
 
5.2%
로 60
 
5.2%
Other values (96) 503
43.7%
Decimal Number
ValueCountFrequency (%)
1 70
20.2%
3 46
13.3%
0 42
12.1%
2 42
12.1%
4 36
10.4%
6 30
8.6%
5 29
8.4%
7 25
 
7.2%
8 18
 
5.2%
9 9
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 40
83.3%
， 8
 
16.7%
Space Separator
ValueCountFrequency (%)
299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1152
58.4%
Common 822
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 80
 
6.9%
광 76
 
6.6%
동 73
 
6.3%
서 60
 
5.2%
특 60
 
5.2%
별 60
 
5.2%
시 60
 
5.2%
진 60
 
5.2%
울 60
 
5.2%
로 60
 
5.2%
Other values (96) 503
43.7%
Common
ValueCountFrequency (%)
299
36.4%
1 70
 
8.5%
) 62
 
7.5%
( 62
 
7.5%
3 46
 
5.6%
0 42
 
5.1%
2 42
 
5.1%
, 40
 
4.9%
4 36
 
4.4%
6 30
 
3.6%
Other values (7) 93
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1152
58.4%
ASCII 814
41.2%
None 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
36.7%
1 70
 
8.6%
) 62
 
7.6%
( 62
 
7.6%
3 46
 
5.7%
0 42
 
5.2%
2 42
 
5.2%
, 40
 
4.9%
4 36
 
4.4%
6 30
 
3.7%
Other values (6) 85
 
10.4%
Hangul
ValueCountFrequency (%)
구 80
 
6.9%
광 76
 
6.6%
동 73
 
6.3%
서 60
 
5.2%
특 60
 
5.2%
별 60
 
5.2%
시 60
 
5.2%
진 60
 
5.2%
울 60
 
5.2%
로 60
 
5.2%
Other values (96) 503
43.7%
None
ValueCountFrequency (%)
， 8
100.0%

전화번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:46:58.215820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.4
Min length11

Characters and Unicode

Total characters684
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

Unique60 ?
Unique (%)100.0%

Sample

1st row02-3424-5715
2nd row02-453-2866
3rd row02-6925-6523
4th row02-455-4691
5th row02-6959-1121
ValueCountFrequency (%)
02-3424-5715 1
 
1.7%
02-453-2866 1
 
1.7%
02-457-6121 1
 
1.7%
02-467-9200 1
 
1.7%
02-446-0612 1
 
1.7%
02-455-1580 1
 
1.7%
02-479-0110 1
 
1.7%
02-2222-9800 1
 
1.7%
02-988-1501 1
 
1.7%
02-497-8300 1
 
1.7%
Other values (50) 50
83.3%
2023-12-12T18:46:58.751893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
17.5%
2 111
16.2%
0 105
15.4%
4 72
10.5%
5 53
7.7%
3 48
 
7.0%
6 45
 
6.6%
1 40
 
5.8%
9 37
 
5.4%
7 31
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 564
82.5%
Dash Punctuation 120
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 111
19.7%
0 105
18.6%
4 72
12.8%
5 53
9.4%
3 48
8.5%
6 45
8.0%
1 40
 
7.1%
9 37
 
6.6%
7 31
 
5.5%
8 22
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
17.5%
2 111
16.2%
0 105
15.4%
4 72
10.5%
5 53
7.7%
3 48
 
7.0%
6 45
 
6.6%
1 40
 
5.8%
9 37
 
5.4%
7 31
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
17.5%
2 111
16.2%
0 105
15.4%
4 72
10.5%
5 53
7.7%
3 48
 
7.0%
6 45
 
6.6%
1 40
 
5.8%
9 37
 
5.4%
7 31
 
4.5%

Interactions

2023-12-12T18:46:52.865746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:46:52.680166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:46:52.953285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:46:52.780873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:46:58.871894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명대표자조직형태등록번호등록일자우편번호도로명주소전화번호
번호1.0001.0001.0000.3281.0000.8640.5081.0001.000
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.000
조직형태0.3281.0001.0001.0001.0001.0000.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일자0.8641.0001.0001.0001.0001.0000.7941.0001.000
우편번호0.5081.0001.0000.0001.0000.7941.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T18:46:59.012771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호조직형태
번호1.0000.0290.125
우편번호0.0291.0000.000
조직형태0.1250.0001.000

Missing values

2023-12-12T18:46:53.423358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:46:53.618254image/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

번호업체명대표자조직형태업종등록번호등록일자우편번호도로명주소전화번호
01(유)제이더블유지정준원,송영석유한회사실내건축공사업광진­18­01­012018-01-165116서울특별시 광진구 광나루로56길 85 판매동3층 에이01,에이02,에이03,비13호(테크노마트) (구의동)02-3424-5715
12(주)거담건축장천수주식회사실내건축공사업광진­18­01­082018-06-014926서울특별시 광진구 용마산로7길 37 3층 (중곡동)02-453-2866
23(주)공간디자인담이용주주식회사실내건축공사업광진­16­01­062016-12-145056서울특별시 광진구 자양로 75 5층(자양동,삼원빌딩)02-6925-6523
34(주)광건엔지니어링박석묵주식회사실내건축공사업광진­11­01­012011-03-044980서울특별시 광진구 천호대로136길 13 아이비타운 101，102호 (구의동)02-455-4691
45(주)굴지김태훈주식회사실내건축공사업광진­21­01­172021-06-234989서울특별시 광진구 능동로 276, 503호(능동, 한성빌딩)02-6959-1121
56(주)그룹이음임주화주식회사실내건축공사업광진­18­01­262018-12-175047서울특별시 광진구 아차산로62길 14-12, 2층 203호 (구의동)02-452-1102
67(주)나오스디자인정관진주식회사실내건축공사업광진 08­01­052008-10-095041서울특별시 광진구 아차산로57길 4 풍강빌딩 4층 (구의동)02-453-6991
78(주)넥스플레인박세철주식회사실내건축공사업광진­21­01­232021-09-025020서울특별시 광진구 아차산로 191, 동신빌딩 402호(화양동)02-466-2068
89(주)대산스포텍하지연주식회사실내건축공사업광진­08­01­032008-05-155058서울특별시 광진구 뚝섬로59길 29 (자양동)02-3436-4494
910(주)더디자인지음김재연주식회사실내건축공사업대전서구11­01­42011-08-055098서울특별시 광진구 뚝섬로44길 34 3층 (자양동)02-548-8337
번호업체명대표자조직형태업종등록번호등록일자우편번호도로명주소전화번호
5051부경이앤아이(주)한해연주식회사실내건축공사업광진 09­01­042009-06-225052서울특별시 광진구 뚝섬로 691-1 모던빌딩 1층 (자양동)02-363-6393
5152서울디자인포럼(주)오영주회사법인실내건축공사업서초­01­01­272001-06-254969서울특별시 광진구 아차산로78길 110, 308호 (광장동 리버힐오피스텔)02-3476-6250
5253심플리시티(주)장재용주식회사실내건축공사업광진­20­01­102020-06-044940서울특별시 광진구 용마산로 136, 1층(중곡동, 동인빌딩) (중곡동)070-4799-1821
5354에이원아이디자인(주)김현곤주식회사실내건축공사업광진­16­01­032016-02-295044서울특별시 광진구 아차산로 375, 407호,408호 (구의동,크레신타워3차)02-3437-9551
5455예스홈건설(주)전오원주식회사실내건축공사업광진­21­01­132021-06-02<NA>서울특별시 광진구 긴고랑로 106 3층(중곡동)02-6713-2123
5556제인인테리어(주)심영신주식회사실내건축공사업광진­21­01­262021-12-275054서울특별시 광진구 아차산로44길 25, 201호(자양동)02-456-0370
5657토비스랩주식회사김재순주식회사실내건축공사업강남­14­01­242014-08-044935서울특별시 광진구 용마산로 119, 3층 (중곡동)02-542-2616
5758프로젝트디디자인스조원주개인실내건축공사업광진­18­01­092018-06-085099서울특별시 광진구 뚝섬로50길 16, 202호 (자양동)02-6958-9262
5859한두레건설(주)김창배기타법인실내건축공사업서초­03­01­252003-09-015062서울특별시 광진구 뚝섬로47길 45 1층 (자양동)02-3437-9661
5960한영건설박혜정개인실내건축공사업광진­17­01­062017-02-235059서울특별시 광진구 자양로7길 31 (자양동)02-455-8372