Overview

Dataset statistics

Number of variables11
Number of observations25
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory95.3 B

Variable types

Numeric2
Text5
Categorical3
DateTime1

Dataset

Description서울특별시 관악구 전문건설업(실내건축공사업)에 대해 데이터로 업체명, 대표자, 업종, 등록번호, 등록일자, 지역, 우편번호, 도로명주소, 전화번호, 데이터기준일자 등을 제공합니다.
Author서울특별시 관악구
URLhttps://www.data.go.kr/data/15100900/fileData.do

Alerts

업종 has constant value ""Constant
지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 1 (4.0%) missing valuesMissing
번호 has unique valuesUnique
업체명 has unique valuesUnique
등록번호 has unique valuesUnique
등록일자 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:34:36.853026
Analysis finished2023-12-12 09:34:38.515619
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T18:34:38.593722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T18:34:38.750064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

업체명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T18:34:38.991559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.36
Min length2

Characters and Unicode

Total characters209
Distinct characters82
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

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)한일원씨스템
2nd row하나둘하우징(주)
3rd row(주)디자인하디
4th row(주)태인아키테리어
5th row(주)원에스쓰리디
ValueCountFrequency (%)
주)한일원씨스템 1
 
4.0%
도담 1
 
4.0%
주식회사씨앤디큐브 1
 
4.0%
늘품 1
 
4.0%
주식회사피에이치파트너스그룹 1
 
4.0%
디자인빅 1
 
4.0%
주)엠제이앤디자인 1
 
4.0%
주식회사셀독24 1
 
4.0%
디자인더블유주식회사 1
 
4.0%
주)엠엔아이디자인 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T18:34:39.410247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
10.0%
( 14
 
6.7%
) 14
 
6.7%
디 13
 
6.2%
인 8
 
3.8%
이 8
 
3.8%
사 7
 
3.3%
회 7
 
3.3%
식 7
 
3.3%
자 7
 
3.3%
Other values (72) 103
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
85.6%
Open Punctuation 14
 
6.7%
Close Punctuation 14
 
6.7%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
11.7%
디 13
 
7.3%
인 8
 
4.5%
이 8
 
4.5%
사 7
 
3.9%
회 7
 
3.9%
식 7
 
3.9%
자 7
 
3.9%
스 6
 
3.4%
씨 4
 
2.2%
Other values (68) 91
50.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
85.6%
Common 30
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
11.7%
디 13
 
7.3%
인 8
 
4.5%
이 8
 
4.5%
사 7
 
3.9%
회 7
 
3.9%
식 7
 
3.9%
자 7
 
3.9%
스 6
 
3.4%
씨 4
 
2.2%
Other values (68) 91
50.8%
Common
ValueCountFrequency (%)
( 14
46.7%
) 14
46.7%
2 1
 
3.3%
4 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
85.6%
ASCII 30
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
11.7%
디 13
 
7.3%
인 8
 
4.5%
이 8
 
4.5%
사 7
 
3.9%
회 7
 
3.9%
식 7
 
3.9%
자 7
 
3.9%
스 6
 
3.4%
씨 4
 
2.2%
Other values (68) 91
50.8%
ASCII
ValueCountFrequency (%)
( 14
46.7%
) 14
46.7%
2 1
 
3.3%
4 1
 
3.3%

대표자
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T18:34:39.662711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.32
Min length3

Characters and Unicode

Total characters83
Distinct characters44
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

Unique23 ?
Unique (%)92.0%

Sample

1st row박만수
2nd row이길수
3rd row이창수
4th row박정권
5th row양은석
ValueCountFrequency (%)
이창수 2
 
8.0%
박만수 1
 
4.0%
노혜은 1
 
4.0%
백성준 1
 
4.0%
서노원 1
 
4.0%
민정옥 1
 
4.0%
이상원 1
 
4.0%
정영호 1
 
4.0%
민성윤 1
 
4.0%
이종훈 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T18:34:40.105565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
9.6%
정 7
 
8.4%
수 5
 
6.0%
원 4
 
4.8%
민 4
 
4.8%
박 3
 
3.6%
김 3
 
3.6%
석 3
 
3.6%
용 3
 
3.6%
, 2
 
2.4%
Other values (34) 41
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
97.6%
Other Punctuation 2
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
9.9%
정 7
 
8.6%
수 5
 
6.2%
원 4
 
4.9%
민 4
 
4.9%
박 3
 
3.7%
김 3
 
3.7%
석 3
 
3.7%
용 3
 
3.7%
문 2
 
2.5%
Other values (33) 39
48.1%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
97.6%
Common 2
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
9.9%
정 7
 
8.6%
수 5
 
6.2%
원 4
 
4.9%
민 4
 
4.9%
박 3
 
3.7%
김 3
 
3.7%
석 3
 
3.7%
용 3
 
3.7%
문 2
 
2.5%
Other values (33) 39
48.1%
Common
ValueCountFrequency (%)
, 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
97.6%
ASCII 2
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
9.9%
정 7
 
8.6%
수 5
 
6.2%
원 4
 
4.9%
민 4
 
4.9%
박 3
 
3.7%
김 3
 
3.7%
석 3
 
3.7%
용 3
 
3.7%
문 2
 
2.5%
Other values (33) 39
48.1%
ASCII
ValueCountFrequency (%)
, 2
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
실내건축공사업
25 

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 25
100.0%

Length

2023-12-12T18:34:40.248891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:34:40.349292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 25
100.0%

등록번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T18:34:40.557739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.6
Min length10

Characters and Unicode

Total characters265
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row관악­98­01­01
2nd row관악­04­01­02
3rd row서초­04­01­18
4th row송파­07­01­15
5th row관악­07­01­01
ValueCountFrequency (%)
관악­98­01­01 1
 
4.0%
관악­19­1­01 1
 
4.0%
관악­22­2­01 1
 
4.0%
관악­21­1­05 1
 
4.0%
관악­21­1­04 1
 
4.0%
관악­21­1­03 1
 
4.0%
관악­21­1­02 1
 
4.0%
관악­21­1­01 1
 
4.0%
관악­20­1­02 1
 
4.0%
광주북2019­01­11 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T18:34:41.027626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
­ 73
27.5%
1 51
19.2%
0 43
16.2%
2 22
 
8.3%
관 19
 
7.2%
악 19
 
7.2%
9 6
 
2.3%
8 5
 
1.9%
7 4
 
1.5%
4 3
 
1.1%
Other values (14) 20
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141
53.2%
Format 73
27.5%
Other Letter 51
 
19.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 19
37.3%
악 19
37.3%
서 2
 
3.9%
초 2
 
3.9%
주 1
 
2.0%
김 1
 
2.0%
광 1
 
2.0%
포 1
 
2.0%
파 1
 
2.0%
작 1
 
2.0%
Other values (3) 3
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 51
36.2%
0 43
30.5%
2 22
15.6%
9 6
 
4.3%
8 5
 
3.5%
7 4
 
2.8%
4 3
 
2.1%
3 3
 
2.1%
5 3
 
2.1%
6 1
 
0.7%
Format
ValueCountFrequency (%)
­ 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 214
80.8%
Hangul 51
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 19
37.3%
악 19
37.3%
서 2
 
3.9%
초 2
 
3.9%
주 1
 
2.0%
김 1
 
2.0%
광 1
 
2.0%
포 1
 
2.0%
파 1
 
2.0%
작 1
 
2.0%
Other values (3) 3
 
5.9%
Common
ValueCountFrequency (%)
­ 73
34.1%
1 51
23.8%
0 43
20.1%
2 22
 
10.3%
9 6
 
2.8%
8 5
 
2.3%
7 4
 
1.9%
4 3
 
1.4%
3 3
 
1.4%
5 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
53.2%
None 73
27.5%
Hangul 51
 
19.2%

Most frequent character per block

None
ValueCountFrequency (%)
­ 73
100.0%
ASCII
ValueCountFrequency (%)
1 51
36.2%
0 43
30.5%
2 22
15.6%
9 6
 
4.3%
8 5
 
3.5%
7 4
 
2.8%
4 3
 
2.1%
3 3
 
2.1%
5 3
 
2.1%
6 1
 
0.7%
Hangul
ValueCountFrequency (%)
관 19
37.3%
악 19
37.3%
서 2
 
3.9%
초 2
 
3.9%
주 1
 
2.0%
김 1
 
2.0%
광 1
 
2.0%
포 1
 
2.0%
파 1
 
2.0%
작 1
 
2.0%
Other values (3) 3
 
5.9%

등록일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1998-03-19 00:00:00
Maximum2022-02-14 00:00:00
2023-12-12T18:34:41.205392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:34:41.359065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
서울 관악구
25 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울 관악구
2nd row서울 관악구
3rd row서울 관악구
4th row서울 관악구
5th row서울 관악구

Common Values

ValueCountFrequency (%)
서울 관악구 25
100.0%

Length

2023-12-12T18:34:41.508776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:34:41.636586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 25
50.0%
관악구 25
50.0%

우편번호
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8771.84
Minimum8706
Maximum8852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T18:34:41.762787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8706
5-th percentile8708
Q18754
median8786
Q38797
95-th percentile8827.2
Maximum8852
Range146
Interquartile range (IQR)43

Descriptive statistics

Standard deviation41.121446
Coefficient of variation (CV)0.0046878929
Kurtosis-0.70283901
Mean8771.84
Median Absolute Deviation (MAD)26
Skewness-0.23199042
Sum219296
Variance1690.9733
MonotonicityNot monotonic
2023-12-12T18:34:41.923823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8708 3
 
12.0%
8786 2
 
8.0%
8754 2
 
8.0%
8808 1
 
4.0%
8706 1
 
4.0%
8715 1
 
4.0%
8793 1
 
4.0%
8760 1
 
4.0%
8790 1
 
4.0%
8787 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
8706 1
 
4.0%
8708 3
12.0%
8715 1
 
4.0%
8730 1
 
4.0%
8754 2
8.0%
8757 1
 
4.0%
8760 1
 
4.0%
8767 1
 
4.0%
8779 1
 
4.0%
8786 2
8.0%
ValueCountFrequency (%)
8852 1
4.0%
8829 1
4.0%
8820 1
4.0%
8808 1
4.0%
8806 1
4.0%
8804 1
4.0%
8797 1
4.0%
8793 1
4.0%
8792 1
4.0%
8790 1
4.0%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T18:34:42.268813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length31.96
Min length22

Characters and Unicode

Total characters799
Distinct characters98
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 과천대로 931 102호 (남현동)
2nd row서울특별시 관악구 조원로16길 33 202호 (신림동)
3rd row서울특별시 관악구 보라매로 15 삼보저축은행 6층 (봉천동)
4th row서울특별시 관악구 남부순환로 2016 5층 (남현동)
5th row서울특별시 관악구 청룡3길 5 (봉천동)
ValueCountFrequency (%)
서울특별시 25
 
16.2%
관악구 25
 
16.2%
봉천동 11
 
7.1%
신림동 7
 
4.5%
남부순환로 3
 
1.9%
남현동 3
 
1.9%
보라매로 2
 
1.3%
봉천로 2
 
1.3%
신림로 2
 
1.3%
15 2
 
1.3%
Other values (69) 72
46.8%
2023-12-12T18:34:42.795097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
16.1%
관 28
 
3.5%
악 28
 
3.5%
동 28
 
3.5%
1 27
 
3.4%
서 25
 
3.1%
특 25
 
3.1%
별 25
 
3.1%
시 25
 
3.1%
구 25
 
3.1%
Other values (88) 434
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
58.8%
Decimal Number 135
 
16.9%
Space Separator 129
 
16.1%
Close Punctuation 25
 
3.1%
Open Punctuation 25
 
3.1%
Other Punctuation 13
 
1.6%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 28
 
6.0%
악 28
 
6.0%
동 28
 
6.0%
서 25
 
5.3%
특 25
 
5.3%
별 25
 
5.3%
시 25
 
5.3%
구 25
 
5.3%
울 25
 
5.3%
로 19
 
4.0%
Other values (72) 217
46.2%
Decimal Number
ValueCountFrequency (%)
1 27
20.0%
2 22
16.3%
0 18
13.3%
5 13
9.6%
3 12
8.9%
6 10
 
7.4%
4 9
 
6.7%
8 9
 
6.7%
7 8
 
5.9%
9 7
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
， 1
 
7.7%
Space Separator
ValueCountFrequency (%)
129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
58.8%
Common 329
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 28
 
6.0%
악 28
 
6.0%
동 28
 
6.0%
서 25
 
5.3%
특 25
 
5.3%
별 25
 
5.3%
시 25
 
5.3%
구 25
 
5.3%
울 25
 
5.3%
로 19
 
4.0%
Other values (72) 217
46.2%
Common
ValueCountFrequency (%)
129
39.2%
1 27
 
8.2%
) 25
 
7.6%
( 25
 
7.6%
2 22
 
6.7%
0 18
 
5.5%
5 13
 
4.0%
3 12
 
3.6%
, 12
 
3.6%
6 10
 
3.0%
Other values (6) 36
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
58.8%
ASCII 328
41.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
39.3%
1 27
 
8.2%
) 25
 
7.6%
( 25
 
7.6%
2 22
 
6.7%
0 18
 
5.5%
5 13
 
4.0%
3 12
 
3.7%
, 12
 
3.7%
6 10
 
3.0%
Other values (5) 35
 
10.7%
Hangul
ValueCountFrequency (%)
관 28
 
6.0%
악 28
 
6.0%
동 28
 
6.0%
서 25
 
5.3%
특 25
 
5.3%
별 25
 
5.3%
시 25
 
5.3%
구 25
 
5.3%
울 25
 
5.3%
로 19
 
4.0%
Other values (72) 217
46.2%
None
ValueCountFrequency (%)
， 1
100.0%

전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size332.0 B
2023-12-12T18:34:43.036034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.208333
Min length11

Characters and Unicode

Total characters269
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

Unique24 ?
Unique (%)100.0%

Sample

1st row02-584-8496
2nd row02-838-7630
3rd row02-534-3843
4th row02-3012-1820
5th row02-882-9114
ValueCountFrequency (%)
02-584-8496 1
 
4.2%
02-838-7630 1
 
4.2%
02-747-8847 1
 
4.2%
02-568-2218 1
 
4.2%
02-871-2147 1
 
4.2%
02-872-3331 1
 
4.2%
02-877-7311 1
 
4.2%
02-882-6403 1
 
4.2%
062-236-2748 1
 
4.2%
070-4337-2369 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T18:34:43.550180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
17.8%
2 37
13.8%
8 37
13.8%
0 35
13.0%
7 25
9.3%
3 22
8.2%
1 20
7.4%
4 17
 
6.3%
6 11
 
4.1%
5 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
82.2%
Dash Punctuation 48
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 37
16.7%
8 37
16.7%
0 35
15.8%
7 25
11.3%
3 22
10.0%
1 20
9.0%
4 17
7.7%
6 11
 
5.0%
5 9
 
4.1%
9 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 269
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
17.8%
2 37
13.8%
8 37
13.8%
0 35
13.0%
7 25
9.3%
3 22
8.2%
1 20
7.4%
4 17
 
6.3%
6 11
 
4.1%
5 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
17.8%
2 37
13.8%
8 37
13.8%
0 35
13.0%
7 25
9.3%
3 22
8.2%
1 20
7.4%
4 17
 
6.3%
6 11
 
4.1%
5 9
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2022-06-09
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-09
2nd row2022-06-09
3rd row2022-06-09
4th row2022-06-09
5th row2022-06-09

Common Values

ValueCountFrequency (%)
2022-06-09 25
100.0%

Length

2023-12-12T18:34:43.768160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:34:43.911333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-09 25
100.0%

Interactions

2023-12-12T18:34:37.580699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:34:37.342435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:34:37.701600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:34:37.446911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:34:44.005754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명대표자등록번호등록일자우편번호도로명주소전화번호
번호1.0001.0000.9431.0001.0000.0001.0001.000
업체명1.0001.0001.0001.0001.0001.0001.0001.000
대표자0.9431.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T18:34:44.140953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.000-0.245
우편번호-0.2451.000

Missing values

2023-12-12T18:34:38.216188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:34:38.429526image/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

번호업체명대표자업종등록번호등록일자지역우편번호도로명주소전화번호데이터기준일자
01(주)한일원씨스템박만수실내건축공사업관악­98­01­011998-03-19서울 관악구8808서울특별시 관악구 과천대로 931 102호 (남현동)02-584-84962022-06-09
12하나둘하우징(주)이길수실내건축공사업관악­04­01­022004-09-14서울 관악구8767서울특별시 관악구 조원로16길 33 202호 (신림동)02-838-76302022-06-09
23(주)디자인하디이창수실내건축공사업서초­04­01­182004-12-08서울 관악구8708서울특별시 관악구 보라매로 15 삼보저축은행 6층 (봉천동)02-534-38432022-06-09
34(주)태인아키테리어박정권실내건축공사업송파­07­01­152007-09-14서울 관악구8804서울특별시 관악구 남부순환로 2016 5층 (남현동)02-3012-18202022-06-09
45(주)원에스쓰리디양은석실내건축공사업관악­07­01­012007-10-05서울 관악구8786서울특별시 관악구 청룡3길 5 (봉천동)02-882-91142022-06-09
56(주)성원디에스지조병로실내건축공사업관악­08­01­012008-02-25서울 관악구8792서울특별시 관악구 봉천로 569-1 동성빌딩 3층 (봉천동)02-889-81182022-06-09
67거목목재목공주식회사이용배,이용운실내건축공사업관악­09­01­032009-07-01서울 관악구8829서울특별시 관악구 쑥고개로 12 (신림동)02-872-64102022-06-09
78(주)스튜디오마음이창수실내건축공사업동작12­01­012012-06-29서울 관악구8708서울특별시 관악구 보라매로 15 10층 (봉천동)02-831-08532022-06-09
89(주)하람디자인정호철,민정희실내건축공사업관악­15­01­022015-11-05서울 관악구8797서울특별시 관악구 남부순환로248길 68, 에이상가동2층205호 (봉천동, 낙성대현대아파트)02-889-87822022-06-09
910주식회사공간이엔씨김인수실내건축공사업관악­16­01­022016-06-01서울 관악구8820서울특별시 관악구 호암로20길 79-12 (신림동), 601호02-875-19972022-06-09
번호업체명대표자업종등록번호등록일자지역우편번호도로명주소전화번호데이터기준일자
1516(주)프랙탈이엔씨정문석실내건축공사업김포­19­01­022019-05-22서울 관악구8779서울특별시 관악구 남부순환로184가길 12 206호 (신림동)070-4337-23692022-06-09
1617(주)엠엔아이디자인이민주실내건축공사업광주북2019­01­112019-11-29서울 관악구8730서울특별시 관악구 청림5길 58 (봉천동)062-236-27482022-06-09
1718디자인더블유주식회사이종훈실내건축공사업관악­20­1­022020-12-10서울 관악구8754서울특별시 관악구 신림로 344 817호 (신림동)02-882-64032022-06-09
1819주식회사셀독24민성윤실내건축공사업관악­21­1­012021-01-28서울 관악구8787서울특별시 관악구 남부순환로 1808 402호 (봉천동， 관악센츄리타워)02-877-73112022-06-09
1920(주)엠제이앤디자인정영호실내건축공사업관악­21­1­022021-02-22서울 관악구8790서울특별시 관악구 낙성대로 38 404호 (봉천동)02-872-33312022-06-09
2021디자인빅이상원실내건축공사업관악­21­1­032021-05-13서울 관악구8760서울특별시 관악구 신림동5길 43 지1층 (신림동)02-871-21472022-06-09
2122주식회사피에이치파트너스그룹민정옥실내건축공사업관악­21­1­042021-05-20서울 관악구8786서울특별시 관악구 관악로17길 25 308호 (봉천동, 그린피아오피스텔)02-568-22182022-06-09
2223늘품서노원실내건축공사업관악­21­1­052021-06-25서울 관악구8793서울특별시 관악구 낙성대역길 77 202호 (봉천동)<NA>2022-06-09
2324주식회사씨앤디큐브백성준실내건축공사업관악­22­2­012022-01-18서울 관악구8754서울특별시 관악구 신림로 340,607호(신림동,르네상스복합쇼핑몰)02-747-88472022-06-09
2425바움디자인남대원실내건축공사업관악­22­2­022022-02-14서울 관악구8715서울특별시 관악구 은천로 95 ,115호 (봉천동)02-814-53182022-06-09