Overview

Dataset statistics

Number of variables9
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory75.8 B

Variable types

Numeric2
Text5
Categorical1
DateTime1

Dataset

Description서울특별시 용산구 인테리어업체현황(번호, 업체명, 대표자, 조직형태, 업종, 등록번호, 등록일자, 우편번호, 도로명주소, 지번주소, 전화번호)에 대한 정보를 제공합니다
URLhttps://www.data.go.kr/data/15101454/fileData.do

Alerts

업종 has constant value ""Constant
번호 has unique valuesUnique
업체명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:46:48.704631
Analysis finished2023-12-11 23:46:50.185365
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T08:46:50.273022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-12T08:46:50.439963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

업체명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:46:50.665833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length8.5733333
Min length2

Characters and Unicode

Total characters643
Distinct characters159
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row(주)가건종합건설
2nd row(주)가담어소시에이츠
3rd row(주)금강엔터프라이즈
4th row(주)다성건장
5th row(주)다성에스앤디
ValueCountFrequency (%)
주)가건종합건설 1
 
1.3%
주)지음비앤씨 1
 
1.3%
온건축디자인(주 1
 
1.3%
에스이엘인테리어디자인(주 1
 
1.3%
신흥공영(주 1
 
1.3%
비에스에이치에스(주 1
 
1.3%
그루디자인 1
 
1.3%
경안 1
 
1.3%
갑진개발(주 1
 
1.3%
주)힘디자인 1
 
1.3%
Other values (65) 65
86.7%
2023-12-12T08:46:51.064786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 71
 
11.0%
) 56
 
8.7%
( 56
 
8.7%
디 26
 
4.0%
인 25
 
3.9%
이 25
 
3.9%
스 20
 
3.1%
사 17
 
2.6%
회 16
 
2.5%
식 16
 
2.5%
Other values (149) 315
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
80.9%
Close Punctuation 56
 
8.7%
Open Punctuation 56
 
8.7%
Lowercase Letter 7
 
1.1%
Other Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 71
 
13.7%
디 26
 
5.0%
인 25
 
4.8%
이 25
 
4.8%
스 20
 
3.8%
사 17
 
3.3%
회 16
 
3.1%
식 16
 
3.1%
자 15
 
2.9%
에 11
 
2.1%
Other values (137) 278
53.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
14.3%
n 1
14.3%
e 1
14.3%
s 1
14.3%
u 1
14.3%
o 1
14.3%
h 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
B 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
80.9%
Common 114
 
17.7%
Latin 9
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 71
 
13.7%
디 26
 
5.0%
인 25
 
4.8%
이 25
 
4.8%
스 20
 
3.8%
사 17
 
3.3%
회 16
 
3.1%
식 16
 
3.1%
자 15
 
2.9%
에 11
 
2.1%
Other values (137) 278
53.5%
Latin
ValueCountFrequency (%)
c 1
11.1%
n 1
11.1%
I 1
11.1%
e 1
11.1%
s 1
11.1%
u 1
11.1%
o 1
11.1%
h 1
11.1%
B 1
11.1%
Common
ValueCountFrequency (%)
) 56
49.1%
( 56
49.1%
. 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
80.9%
ASCII 123
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 71
 
13.7%
디 26
 
5.0%
인 25
 
4.8%
이 25
 
4.8%
스 20
 
3.8%
사 17
 
3.3%
회 16
 
3.1%
식 16
 
3.1%
자 15
 
2.9%
에 11
 
2.1%
Other values (137) 278
53.5%
ASCII
ValueCountFrequency (%)
) 56
45.5%
( 56
45.5%
. 2
 
1.6%
c 1
 
0.8%
n 1
 
0.8%
I 1
 
0.8%
e 1
 
0.8%
s 1
 
0.8%
u 1
 
0.8%
o 1
 
0.8%
Other values (2) 2
 
1.6%

대표자
Text

Distinct71
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:46:51.317122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4666667
Min length3

Characters and Unicode

Total characters260
Distinct characters76
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

Unique67 ?
Unique (%)89.3%

Sample

1st row원*진
2nd row전*일
3rd row문*호
4th row박*란
5th row장*혁
ValueCountFrequency (%)
김*수 2
 
2.4%
이*호 2
 
2.4%
김*영 2
 
2.4%
박*진 2
 
2.4%
이*진 2
 
2.4%
허*욱 1
 
1.2%
곽*구 1
 
1.2%
고*영 1
 
1.2%
서*덕 1
 
1.2%
황*윤 1
 
1.2%
Other values (67) 67
81.7%
2023-12-12T08:46:51.747868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 82
31.5%
김 16
 
6.2%
이 15
 
5.8%
7
 
2.7%
, 7
 
2.7%
박 6
 
2.3%
진 6
 
2.3%
정 6
 
2.3%
황 5
 
1.9%
수 5
 
1.9%
Other values (66) 105
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
63.1%
Other Punctuation 89
34.2%
Space Separator 7
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 16
 
9.8%
이 15
 
9.1%
박 6
 
3.7%
진 6
 
3.7%
정 6
 
3.7%
황 5
 
3.0%
수 5
 
3.0%
주 4
 
2.4%
우 4
 
2.4%
호 4
 
2.4%
Other values (63) 93
56.7%
Other Punctuation
ValueCountFrequency (%)
* 82
92.1%
, 7
 
7.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
63.1%
Common 96
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 16
 
9.8%
이 15
 
9.1%
박 6
 
3.7%
진 6
 
3.7%
정 6
 
3.7%
황 5
 
3.0%
수 5
 
3.0%
주 4
 
2.4%
우 4
 
2.4%
호 4
 
2.4%
Other values (63) 93
56.7%
Common
ValueCountFrequency (%)
* 82
85.4%
7
 
7.3%
, 7
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
63.1%
ASCII 96
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 82
85.4%
7
 
7.3%
, 7
 
7.3%
Hangul
ValueCountFrequency (%)
김 16
 
9.8%
이 15
 
9.1%
박 6
 
3.7%
진 6
 
3.7%
정 6
 
3.7%
황 5
 
3.0%
수 5
 
3.0%
주 4
 
2.4%
우 4
 
2.4%
호 4
 
2.4%
Other values (63) 93
56.7%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
실내건축공사업
75 

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 75
100.0%

Length

2023-12-12T08:46:51.905775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:46:52.019884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 75
100.0%

등록번호
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:46:52.233489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.92
Min length6

Characters and Unicode

Total characters819
Distinct characters32
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

Unique73 ?
Unique (%)97.3%

Sample

1st row용산2012-01-01
2nd row마포12-01-03
3rd row인천01-6
4th row중구99-01-05
5th row용산-22-나-03
ValueCountFrequency (%)
용산-23-나-03 2
 
2.7%
광주북2010-01-13 1
 
1.3%
강남-00-01-42 1
 
1.3%
서울01-6 1
 
1.3%
용산2014-01-03 1
 
1.3%
용산2018-01-04 1
 
1.3%
용산2020-01-02 1
 
1.3%
용산-22-나-02 1
 
1.3%
용산08-01-03 1
 
1.3%
강남-17-01-49 1
 
1.3%
Other values (64) 64
85.3%
2023-12-12T08:46:52.665102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 176
21.5%
0 164
20.0%
1 124
15.1%
2 79
9.6%
산 47
 
5.7%
용 46
 
5.6%
3 26
 
3.2%
6 19
 
2.3%
5 15
 
1.8%
나 14
 
1.7%
Other values (22) 109
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 475
58.0%
Dash Punctuation 176
 
21.5%
Other Letter 168
 
20.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 47
28.0%
용 46
27.4%
나 14
 
8.3%
남 10
 
6.0%
강 10
 
6.0%
서 8
 
4.8%
마 5
 
3.0%
포 5
 
3.0%
울 4
 
2.4%
초 3
 
1.8%
Other values (11) 16
 
9.5%
Decimal Number
ValueCountFrequency (%)
0 164
34.5%
1 124
26.1%
2 79
16.6%
3 26
 
5.5%
6 19
 
4.0%
5 15
 
3.2%
9 14
 
2.9%
4 12
 
2.5%
7 11
 
2.3%
8 11
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 651
79.5%
Hangul 168
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 47
28.0%
용 46
27.4%
나 14
 
8.3%
남 10
 
6.0%
강 10
 
6.0%
서 8
 
4.8%
마 5
 
3.0%
포 5
 
3.0%
울 4
 
2.4%
초 3
 
1.8%
Other values (11) 16
 
9.5%
Common
ValueCountFrequency (%)
- 176
27.0%
0 164
25.2%
1 124
19.0%
2 79
12.1%
3 26
 
4.0%
6 19
 
2.9%
5 15
 
2.3%
9 14
 
2.2%
4 12
 
1.8%
7 11
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 651
79.5%
Hangul 168
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 176
27.0%
0 164
25.2%
1 124
19.0%
2 79
12.1%
3 26
 
4.0%
6 19
 
2.9%
5 15
 
2.3%
9 14
 
2.2%
4 12
 
1.8%
7 11
 
1.7%
Hangul
ValueCountFrequency (%)
산 47
28.0%
용 46
27.4%
나 14
 
8.3%
남 10
 
6.0%
강 10
 
6.0%
서 8
 
4.8%
마 5
 
3.0%
포 5
 
3.0%
울 4
 
2.4%
초 3
 
1.8%
Other values (11) 16
 
9.5%

등록일자
Date

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum1978-11-15 00:00:00
Maximum2023-04-21 00:00:00
2023-12-12T08:46:52.814240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:46:52.983364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호
Real number (ℝ)

Distinct45
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4365.3333
Minimum4303
Maximum4420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T08:46:53.139788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4303
5-th percentile4313.4
Q14333.5
median4366
Q34393
95-th percentile4413.3
Maximum4420
Range117
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation33.778825
Coefficient of variation (CV)0.0077379715
Kurtosis-1.1821792
Mean4365.3333
Median Absolute Deviation (MAD)32
Skewness-0.17046265
Sum327400
Variance1141.009
MonotonicityNot monotonic
2023-12-12T08:46:53.292191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4364 6
 
8.0%
4382 6
 
8.0%
4401 4
 
5.3%
4366 3
 
4.0%
4402 3
 
4.0%
4319 3
 
4.0%
4410 2
 
2.7%
4331 2
 
2.7%
4387 2
 
2.7%
4333 2
 
2.7%
Other values (35) 42
56.0%
ValueCountFrequency (%)
4303 2
2.7%
4310 1
 
1.3%
4312 1
 
1.3%
4314 1
 
1.3%
4315 1
 
1.3%
4317 1
 
1.3%
4318 1
 
1.3%
4319 3
4.0%
4323 1
 
1.3%
4328 1
 
1.3%
ValueCountFrequency (%)
4420 2
2.7%
4419 1
 
1.3%
4414 1
 
1.3%
4413 1
 
1.3%
4410 2
2.7%
4409 2
2.7%
4404 1
 
1.3%
4402 3
4.0%
4401 4
5.3%
4399 1
 
1.3%

도로명주소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:46:53.536119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length32.76
Min length22

Characters and Unicode

Total characters2457
Distinct characters146
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

Unique75 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 한남대로 31, B1층(한남동, 가건빌딩)
2nd row서울특별시 용산구 서빙고로 17, 1212호(한강로3가, 용산센트럴파크해링턴스퀘어)
3rd row서울특별시 용산구 이태원로 255-1 더엠빌딩 (한남동)
4th row서울특별시 용산구 장문로45바길 27, 2층 (보광동)
5th row서울특별시 용산구 서빙고로 17, 업무동 10층 1009호
ValueCountFrequency (%)
서울특별시 75
 
16.5%
용산구 75
 
16.5%
한남동 16
 
3.5%
2층 7
 
1.5%
원효로 6
 
1.3%
후암동 5
 
1.1%
이태원동 5
 
1.1%
3층 5
 
1.1%
효창동 4
 
0.9%
4층 4
 
0.9%
Other values (204) 252
55.5%
2023-12-12T08:46:53.938886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
382
 
15.5%
로 91
 
3.7%
1 88
 
3.6%
용 84
 
3.4%
산 83
 
3.4%
서 82
 
3.3%
별 76
 
3.1%
시 76
 
3.1%
구 76
 
3.1%
특 75
 
3.1%
Other values (136) 1344
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1445
58.8%
Decimal Number 404
 
16.4%
Space Separator 382
 
15.5%
Close Punctuation 71
 
2.9%
Open Punctuation 71
 
2.9%
Other Punctuation 62
 
2.5%
Dash Punctuation 17
 
0.7%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 91
 
6.3%
용 84
 
5.8%
산 83
 
5.7%
서 82
 
5.7%
별 76
 
5.3%
시 76
 
5.3%
구 76
 
5.3%
특 75
 
5.2%
울 75
 
5.2%
동 66
 
4.6%
Other values (118) 661
45.7%
Decimal Number
ValueCountFrequency (%)
1 88
21.8%
2 71
17.6%
4 46
11.4%
0 43
10.6%
3 41
10.1%
6 29
 
7.2%
7 23
 
5.7%
5 23
 
5.7%
9 22
 
5.4%
8 18
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
S 1
 
20.0%
Space Separator
ValueCountFrequency (%)
382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1445
58.8%
Common 1007
41.0%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 91
 
6.3%
용 84
 
5.8%
산 83
 
5.7%
서 82
 
5.7%
별 76
 
5.3%
시 76
 
5.3%
구 76
 
5.3%
특 75
 
5.2%
울 75
 
5.2%
동 66
 
4.6%
Other values (118) 661
45.7%
Common
ValueCountFrequency (%)
382
37.9%
1 88
 
8.7%
) 71
 
7.1%
( 71
 
7.1%
2 71
 
7.1%
, 62
 
6.2%
4 46
 
4.6%
0 43
 
4.3%
3 41
 
4.1%
6 29
 
2.9%
Other values (5) 103
 
10.2%
Latin
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
S 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1445
58.8%
ASCII 1012
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
382
37.7%
1 88
 
8.7%
) 71
 
7.0%
( 71
 
7.0%
2 71
 
7.0%
, 62
 
6.1%
4 46
 
4.5%
0 43
 
4.2%
3 41
 
4.1%
6 29
 
2.9%
Other values (8) 108
 
10.7%
Hangul
ValueCountFrequency (%)
로 91
 
6.3%
용 84
 
5.8%
산 83
 
5.7%
서 82
 
5.7%
별 76
 
5.3%
시 76
 
5.3%
구 76
 
5.3%
특 75
 
5.2%
울 75
 
5.2%
동 66
 
4.6%
Other values (118) 661
45.7%

전화번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T08:46:54.167484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.36
Min length11

Characters and Unicode

Total characters852
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

Unique75 ?
Unique (%)100.0%

Sample

1st row02-790-6636
2nd row02-332-5151
3rd row02-798-9881
4th row02-779-6660
5th row02-3482-9597
ValueCountFrequency (%)
02-790-6636 1
 
1.3%
02-718-7565 1
 
1.3%
02-6404-3887 1
 
1.3%
02-3446-4206 1
 
1.3%
02-714-0334 1
 
1.3%
02-754-0996 1
 
1.3%
02-749-3280 1
 
1.3%
02-711-4623 1
 
1.3%
02-790-3802 1
 
1.3%
02-3444-3441 1
 
1.3%
Other values (65) 65
86.7%
2023-12-12T08:46:54.522186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 150
17.6%
0 148
17.4%
2 124
14.6%
7 78
9.2%
3 64
7.5%
4 56
 
6.6%
5 52
 
6.1%
1 50
 
5.9%
6 47
 
5.5%
9 45
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 702
82.4%
Dash Punctuation 150
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
21.1%
2 124
17.7%
7 78
11.1%
3 64
9.1%
4 56
 
8.0%
5 52
 
7.4%
1 50
 
7.1%
6 47
 
6.7%
9 45
 
6.4%
8 38
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 150
17.6%
0 148
17.4%
2 124
14.6%
7 78
9.2%
3 64
7.5%
4 56
 
6.6%
5 52
 
6.1%
1 50
 
5.9%
6 47
 
5.5%
9 45
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 150
17.6%
0 148
17.4%
2 124
14.6%
7 78
9.2%
3 64
7.5%
4 56
 
6.6%
5 52
 
6.1%
1 50
 
5.9%
6 47
 
5.5%
9 45
 
5.3%

Interactions

2023-12-12T08:46:49.706273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:46:49.507365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:46:49.812157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:46:49.602882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:46:54.610907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명대표자등록번호등록일자우편번호도로명주소전화번호
번호1.0001.0000.9020.9370.9370.3401.0001.000
업체명1.0001.0001.0001.0001.0001.0001.0001.000
대표자0.9021.0001.0000.9940.9940.9341.0001.000
등록번호0.9371.0000.9941.0000.9981.0001.0001.000
등록일자0.9371.0000.9940.9981.0000.9471.0001.000
우편번호0.3401.0000.9341.0000.9471.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T08:46:54.699149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.000-0.191
우편번호-0.1911.000

Missing values

2023-12-12T08:46:49.973577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:46:50.127489image/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

번호업체명대표자업종등록번호등록일자우편번호도로명주소전화번호
01(주)가건종합건설원*진실내건축공사업용산2012-01-012012-03-294410서울특별시 용산구 한남대로 31, B1층(한남동, 가건빌딩)02-790-6636
12(주)가담어소시에이츠전*일실내건축공사업마포12-01-032012-02-104387서울특별시 용산구 서빙고로 17, 1212호(한강로3가, 용산센트럴파크해링턴스퀘어)02-332-5151
23(주)금강엔터프라이즈문*호실내건축공사업인천01-61983-09-284348서울특별시 용산구 이태원로 255-1 더엠빌딩 (한남동)02-798-9881
34(주)다성건장박*란실내건축공사업중구99-01-052003-01-064413서울특별시 용산구 장문로45바길 27, 2층 (보광동)02-779-6660
45(주)다성에스앤디장*혁실내건축공사업용산-22-나-032022-04-084387서울특별시 용산구 서빙고로 17, 업무동 10층 1009호02-3482-9597
56(주)더지음건축김*누실내건축공사업용산2018-01-062018-12-314402서울특별시 용산구 대사관로 56 302호(한남동)070-8628-5493
67(주)동효그룹윤*섭실내건축공사업92-서울-01-601992-08-314356서울특별시 용산구 새창로 110-2, 2층 (용문동)02-517-6188
78(주)디자인앤빌더아키텍쳐박*석실내건축공사업용산2016-01-052016-10-124319서울특별시 용산구 백범로43길 8, 1층(효창동)02-540-4503
89(주)디자인에이웍스백*리실내건축공사업강남-06-01-052006-01-134401서울특별시 용산구 대사관로11길 30, (한남동, 수가빌딩) (한남동)02-517-7200
910(주)디자인엔케이알황*연실내건축공사업용산2017-01-032017-08-184334서울특별시 용산구 한강대로96길 34 (갈월동)02-967-0796
번호업체명대표자업종등록번호등록일자우편번호도로명주소전화번호
6566주식회사스튜디오온오프김*영실내건축공사업용산2018-01-022018-07-054382서울특별시 용산구 한강대로62길 67, 지층02-6959-1174
6667주식회사아트플레이스홍*미실내건축공사업용산-22-나-092022-12-204338서울특별시 용산구 신흥로 89, 201-1호(용산동2가, 해룡빌딩)02-567-6070
6768주식회사우앤디자인우*하실내건축공사업용산2021-01-102021-11-114312서울특별시 용산구 백범로79길 103, 청송빌딩 지하1층(청파동3가)02-712-2772
6869주식회사위디자인스페이스노*준실내건축공사업용산2019-01-022019-06-214345서울특별시 용산구 녹사평대로 206 천우빌딩 4층 (이태원동)02-749-5429
6970주식회사유진홈센터유*태실내건축공사업용산2020-01-062020-10-054366서울특별시 용산구 청파로 75 4층(원효로3가, 전자랜드별관)02-331-2800
7071주식회사케이건설이*규실내건축공사업용산2020-01-082020-10-304402서울특별시 용산구 대사관로 46-1, 제지하1층 제1호 (한남동)02-544-5567
7172주식회사흥업정*화, 김*훈실내건축공사업용산2017-01-022017-03-314386서울특별시 용산구 한강대로 92 지하4층 (한강로2가, LS용산타워)02-6261-0824
7273페이드김*수실내건축공사업용산-22-나-062022-06-144364서울특별시 용산구 원효로 187, 4층(원효로2가, 송원빌딩)02-573-0604
7374하우스만주식회사이*진, 이*주실내건축공사업용산2020-01-042020-05-134385서울특별시 용산구 서빙고로 69, 상가 1층3호(용산동5가, 파크타워아파트)02-797-0079
7475한성건업황*주실내건축공사업용산2021-01-082021-09-284331서울특별시 용산구 후암로22길 24, 오페라하우스 101동 B03호(후암동)02-797-3513