Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description대전광역시 중구 관내 인테리어업체 현황(연번, 상호, 업종, 영업소재지도로명, 전화번호, 데이터기준일자) 을 제공합니다.
Author대전광역시 중구
URLhttps://www.data.go.kr/data/15038457/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
영업소재지(도로명주소) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:52:45.806375
Analysis finished2023-12-12 17:52:46.354343
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T02:52:46.439318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-13T02:52:46.607035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

상호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T02:52:46.872434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.952381
Min length5

Characters and Unicode

Total characters334
Distinct characters101
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row(주)경원건설산업
2nd row(주)금효건설
3rd row(주)라온
4th row(주)미담
5th row(주)미승건설
ValueCountFrequency (%)
주)경원건설산업 1
 
2.4%
에스포건설주식회사 1
 
2.4%
포도디엔씨(주 1
 
2.4%
o.j건축인테리어 1
 
2.4%
㈜효성건축 1
 
2.4%
누리건설산업주식회사 1
 
2.4%
대지산업(주 1
 
2.4%
더인터플랜주식회사 1
 
2.4%
디에스산업 1
 
2.4%
삼일건설(주 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T02:52:47.308591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
10.8%
( 26
 
7.8%
) 26
 
7.8%
건 18
 
5.4%
사 14
 
4.2%
설 13
 
3.9%
식 13
 
3.9%
회 12
 
3.6%
디 9
 
2.7%
이 9
 
2.7%
Other values (91) 158
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
83.2%
Open Punctuation 26
 
7.8%
Close Punctuation 26
 
7.8%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
12.9%
건 18
 
6.5%
사 14
 
5.0%
설 13
 
4.7%
식 13
 
4.7%
회 12
 
4.3%
디 9
 
3.2%
이 9
 
3.2%
에 7
 
2.5%
인 7
 
2.5%
Other values (85) 140
50.4%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
J 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
83.5%
Common 53
 
15.9%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
12.9%
건 18
 
6.5%
사 14
 
5.0%
설 13
 
4.7%
식 13
 
4.7%
회 12
 
4.3%
디 9
 
3.2%
이 9
 
3.2%
에 7
 
2.5%
인 7
 
2.5%
Other values (86) 141
50.5%
Common
ValueCountFrequency (%)
( 26
49.1%
) 26
49.1%
. 1
 
1.9%
Latin
ValueCountFrequency (%)
O 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
83.2%
ASCII 55
 
16.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
12.9%
건 18
 
6.5%
사 14
 
5.0%
설 13
 
4.7%
식 13
 
4.7%
회 12
 
4.3%
디 9
 
3.2%
이 9
 
3.2%
에 7
 
2.5%
인 7
 
2.5%
Other values (85) 140
50.4%
ASCII
ValueCountFrequency (%)
( 26
47.3%
) 26
47.3%
O 1
 
1.8%
. 1
 
1.8%
J 1
 
1.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
실내건축공사업
42 

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 42
100.0%

Length

2023-12-13T02:52:47.505056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:52:47.629292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 42
100.0%

영업소재지(도로명주소)
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T02:52:47.848712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32.5
Mean length27.809524
Min length20

Characters and Unicode

Total characters1168
Distinct characters84
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

Unique42 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 산서로 13 203호 (사정동)
2nd row대전광역시 중구 태평로 177-1 2층 (태평동)
3rd row대전광역시 중구 대둔산로446번길 61, 103호 (산성동)
4th row대전광역시 중구 대종로 561 , 1층 (선화동)
5th row대전광역시 중구 동서대로 1252 , 2층 (태평동)
ValueCountFrequency (%)
대전광역시 42
 
16.5%
중구 42
 
16.5%
10
 
3.9%
유천동 9
 
3.5%
1층 7
 
2.8%
2층 6
 
2.4%
대종로 5
 
2.0%
동서대로 4
 
1.6%
태평동 4
 
1.6%
계백로 4
 
1.6%
Other values (92) 121
47.6%
2023-12-13T02:52:48.329870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
18.2%
대 60
 
5.1%
1 57
 
4.9%
중 47
 
4.0%
동 45
 
3.9%
전 43
 
3.7%
역 42
 
3.6%
시 42
 
3.6%
광 42
 
3.6%
구 42
 
3.6%
Other values (74) 536
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
54.3%
Decimal Number 215
 
18.4%
Space Separator 212
 
18.2%
Close Punctuation 41
 
3.5%
Open Punctuation 41
 
3.5%
Other Punctuation 20
 
1.7%
Dash Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 60
 
9.5%
중 47
 
7.4%
동 45
 
7.1%
전 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
광 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
층 17
 
2.7%
Other values (58) 212
33.4%
Decimal Number
ValueCountFrequency (%)
1 57
26.5%
2 27
12.6%
3 25
11.6%
5 21
 
9.8%
0 19
 
8.8%
4 19
 
8.8%
6 16
 
7.4%
9 14
 
6.5%
7 13
 
6.0%
8 4
 
1.9%
Space Separator
ValueCountFrequency (%)
212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
54.3%
Common 533
45.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 60
 
9.5%
중 47
 
7.4%
동 45
 
7.1%
전 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
광 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
층 17
 
2.7%
Other values (58) 212
33.4%
Common
ValueCountFrequency (%)
212
39.8%
1 57
 
10.7%
) 41
 
7.7%
( 41
 
7.7%
2 27
 
5.1%
3 25
 
4.7%
5 21
 
3.9%
, 20
 
3.8%
0 19
 
3.6%
4 19
 
3.6%
Other values (5) 51
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
54.3%
ASCII 534
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
39.7%
1 57
 
10.7%
) 41
 
7.7%
( 41
 
7.7%
2 27
 
5.1%
3 25
 
4.7%
5 21
 
3.9%
, 20
 
3.7%
0 19
 
3.6%
4 19
 
3.6%
Other values (6) 52
 
9.7%
Hangul
ValueCountFrequency (%)
대 60
 
9.5%
중 47
 
7.4%
동 45
 
7.1%
전 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
광 42
 
6.6%
구 42
 
6.6%
로 42
 
6.6%
층 17
 
2.7%
Other values (58) 212
33.4%

전화번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T02:52:48.617302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters507
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

Unique42 ?
Unique (%)100.0%

Sample

1st row042-362-5876
2nd row042-526-7679
3rd row042-628-0501
4th row042-253-3290
5th row070-7634-0023
ValueCountFrequency (%)
042-362-5876 1
 
2.4%
042-716-0160 1
 
2.4%
042-825-2918 1
 
2.4%
042-531-4134 1
 
2.4%
042-543-9111 1
 
2.4%
042-334-8272 1
 
2.4%
042-222-0404 1
 
2.4%
042-585-7810 1
 
2.4%
042-583-6600 1
 
2.4%
042-538-1771 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T02:52:49.015101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 89
17.6%
- 84
16.6%
0 81
16.0%
4 51
10.1%
7 38
7.5%
8 35
 
6.9%
5 33
 
6.5%
3 32
 
6.3%
1 29
 
5.7%
6 22
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 423
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 89
21.0%
0 81
19.1%
4 51
12.1%
7 38
9.0%
8 35
 
8.3%
5 33
 
7.8%
3 32
 
7.6%
1 29
 
6.9%
6 22
 
5.2%
9 13
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 89
17.6%
- 84
16.6%
0 81
16.0%
4 51
10.1%
7 38
7.5%
8 35
 
6.9%
5 33
 
6.5%
3 32
 
6.3%
1 29
 
5.7%
6 22
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 89
17.6%
- 84
16.6%
0 81
16.0%
4 51
10.1%
7 38
7.5%
8 35
 
6.9%
5 33
 
6.5%
3 32
 
6.3%
1 29
 
5.7%
6 22
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-11-22
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-22
2nd row2023-11-22
3rd row2023-11-22
4th row2023-11-22
5th row2023-11-22

Common Values

ValueCountFrequency (%)
2023-11-22 42
100.0%

Length

2023-12-13T02:52:49.144461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:52:49.239818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-22 42
100.0%

Interactions

2023-12-13T02:52:46.077187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:52:49.319354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호영업소재지(도로명주소)전화번호
연번1.0001.0001.0001.000
상호1.0001.0001.0001.000
영업소재지(도로명주소)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T02:52:46.194162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:52:46.306654image/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

연번상호업종영업소재지(도로명주소)전화번호데이터기준일자
01(주)경원건설산업실내건축공사업대전광역시 중구 산서로 13 203호 (사정동)042-362-58762023-11-22
12(주)금효건설실내건축공사업대전광역시 중구 태평로 177-1 2층 (태평동)042-526-76792023-11-22
23(주)라온실내건축공사업대전광역시 중구 대둔산로446번길 61, 103호 (산성동)042-628-05012023-11-22
34(주)미담실내건축공사업대전광역시 중구 대종로 561 , 1층 (선화동)042-253-32902023-11-22
45(주)미승건설실내건축공사업대전광역시 중구 동서대로 1252 , 2층 (태평동)070-7634-00232023-11-22
56(주)백학실내건축공사업대전광역시 중구 유천로 84 , 3층 303호 (유천동)070-8890-07752023-11-22
67(주)뷰티뜰실내건축공사업대전광역시 중구 동서대로 1439 , 1층 (중촌동)042-226-20072023-11-22
78(주)브이아이피건축실내건축공사업대전광역시 중구 보문산로 149 (문화동)042-273-75502023-11-22
89(주)신조건설실내건축공사업대전광역시 중구 유천로17번길 115 (유천동)042-632-79882023-11-22
910(주)아트실내건축공사업대전광역시 중구 대종로593번길 16042-255-03752023-11-22
연번상호업종영업소재지(도로명주소)전화번호데이터기준일자
3233주식회사광명디자인건축실내건축공사업대전광역시 중구 계백로 1719 ,603호(오류동,센트리아오피스텔)042-634-33602023-11-22
3334주식회사다다실내건축공사업대전광역시 중구 대종로 625 , 506호 (중촌동)042-252-01102023-11-22
3435주식회사디와이코리아실내건축공사업대전광역시 중구 동서대로 1439 1층 (중촌동)042-621-88702023-11-22
3536주식회사머큐리알엔에스실내건축공사업대전광역시 중구 동서대로 1307 3층 (오류동)042-252-90122023-11-22
3637주식회사선정건설실내건축공사업대전광역시 중구 계백로 1567 602호, 강산빌딩 (유천동)042-527-38112023-11-22
3738주식회사어울림디자인실내건축공사업대전광역시 중구 충무로 159 , 2층 (문창동)042-271-47592023-11-22
3839주식회사자이림디자인실내건축공사업대전광역시 중구 계백로 1553-13 2층 (유천동)042-272-39232023-11-22
3940탱크토탈크린실내건축공사업대전광역시 중구 유천로 16 , 1층 (유천동)070-8936-00212023-11-22
4041포도디엔씨(주)실내건축공사업대전광역시 중구 대종로 451 4층 401호 (대흥동)042-825-29182023-11-22
4142한국에너지진단기술원주식회사실내건축공사업대전광역시 중구 산서로 57 3층 (사정동)042-631-98022023-11-22