Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory64.7 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description부산광역시남구건축관련업체현황_20230609
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081759

Alerts

업종 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
순번 has unique valuesUnique
상호 has unique valuesUnique
영업소재지(도로명주소) has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:23:39.133428
Analysis finished2023-12-10 17:23:41.656612
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T02:23:41.776447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-11T02:23:42.012816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

상호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:23:42.379582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.0434783
Min length5

Characters and Unicode

Total characters185
Distinct characters63
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

Unique23 ?
Unique (%)100.0%

Sample

1st row(주)디에이치건영
2nd row(주)백억인테리어
3rd row(주)성공디자인
4th row(주)세동하우징
5th row(주)씨엔에스산업디자인
ValueCountFrequency (%)
주)디에이치건영 1
 
4.3%
주)코스모하우징 1
 
4.3%
부명건설㈜ 1
 
4.3%
㈜가야아이앤디 1
 
4.3%
유제이비젼 1
 
4.3%
㈜예온디자인 1
 
4.3%
㈜에펠디자인 1
 
4.3%
㈜씨앤아트 1
 
4.3%
주식회사이룸건축 1
 
4.3%
조은건설산업(주 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T02:23:43.040787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
9.7%
( 16
 
8.6%
) 16
 
8.6%
인 12
 
6.5%
디 11
 
5.9%
자 8
 
4.3%
이 8
 
4.3%
건 6
 
3.2%
㈜ 5
 
2.7%
앤 4
 
2.2%
Other values (53) 81
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
80.0%
Open Punctuation 16
 
8.6%
Close Punctuation 16
 
8.6%
Other Symbol 5
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
12.2%
인 12
 
8.1%
디 11
 
7.4%
자 8
 
5.4%
이 8
 
5.4%
건 6
 
4.1%
앤 4
 
2.7%
설 3
 
2.0%
아 3
 
2.0%
산 3
 
2.0%
Other values (50) 72
48.6%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
82.7%
Common 32
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
11.8%
인 12
 
7.8%
디 11
 
7.2%
자 8
 
5.2%
이 8
 
5.2%
건 6
 
3.9%
㈜ 5
 
3.3%
앤 4
 
2.6%
설 3
 
2.0%
아 3
 
2.0%
Other values (51) 75
49.0%
Common
ValueCountFrequency (%)
( 16
50.0%
) 16
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
80.0%
ASCII 32
 
17.3%
None 5
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
12.2%
인 12
 
8.1%
디 11
 
7.4%
자 8
 
5.4%
이 8
 
5.4%
건 6
 
4.1%
앤 4
 
2.7%
설 3
 
2.0%
아 3
 
2.0%
산 3
 
2.0%
Other values (50) 72
48.6%
ASCII
ValueCountFrequency (%)
( 16
50.0%
) 16
50.0%
None
ValueCountFrequency (%)
㈜ 5
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
실내건축공사업
23 

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 23
100.0%

Length

2023-12-11T02:23:43.314454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:23:43.538131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 23
100.0%

영업소재지(도로명주소)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:23:43.977808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length26.434783
Min length16

Characters and Unicode

Total characters608
Distinct characters78
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 자성로 104
2nd row부산광역시 남구 동명로169번길 66 602호 (용호동)
3rd row부산광역시 남구 우암로 240 (우암동)
4th row부산광역시 남구 지게골로 101-5 2층 (문현동)
5th row부산광역시 남구 동명로132번길 84 (용호동)
ValueCountFrequency (%)
부산광역시 23
18.9%
남구 22
 
18.0%
문현동 5
 
4.1%
수영로 3
 
2.5%
대연동 3
 
2.5%
용호동 2
 
1.6%
26 2
 
1.6%
유엔로 2
 
1.6%
20 2
 
1.6%
자성로 2
 
1.6%
Other values (56) 56
45.9%
2023-12-11T02:23:44.853469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
16.3%
동 25
 
4.1%
2 24
 
3.9%
부 23
 
3.8%
구 23
 
3.8%
남 23
 
3.8%
로 23
 
3.8%
산 23
 
3.8%
시 23
 
3.8%
역 23
 
3.8%
Other values (68) 299
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
57.1%
Decimal Number 114
 
18.8%
Space Separator 99
 
16.3%
Close Punctuation 17
 
2.8%
Open Punctuation 17
 
2.8%
Other Punctuation 11
 
1.8%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
7.2%
부 23
 
6.6%
구 23
 
6.6%
남 23
 
6.6%
로 23
 
6.6%
산 23
 
6.6%
시 23
 
6.6%
역 23
 
6.6%
광 23
 
6.6%
호 11
 
3.2%
Other values (52) 127
36.6%
Decimal Number
ValueCountFrequency (%)
2 24
21.1%
1 19
16.7%
0 15
13.2%
6 13
11.4%
3 11
9.6%
4 11
9.6%
7 7
 
6.1%
5 6
 
5.3%
8 5
 
4.4%
9 3
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
， 2
 
18.2%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
57.1%
Common 261
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
7.2%
부 23
 
6.6%
구 23
 
6.6%
남 23
 
6.6%
로 23
 
6.6%
산 23
 
6.6%
시 23
 
6.6%
역 23
 
6.6%
광 23
 
6.6%
호 11
 
3.2%
Other values (52) 127
36.6%
Common
ValueCountFrequency (%)
99
37.9%
2 24
 
9.2%
1 19
 
7.3%
) 17
 
6.5%
( 17
 
6.5%
0 15
 
5.7%
6 13
 
5.0%
3 11
 
4.2%
4 11
 
4.2%
, 9
 
3.4%
Other values (6) 26
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
57.1%
ASCII 259
42.6%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
38.2%
2 24
 
9.3%
1 19
 
7.3%
) 17
 
6.6%
( 17
 
6.6%
0 15
 
5.8%
6 13
 
5.0%
3 11
 
4.2%
4 11
 
4.2%
, 9
 
3.5%
Other values (5) 24
 
9.3%
Hangul
ValueCountFrequency (%)
동 25
 
7.2%
부 23
 
6.6%
구 23
 
6.6%
남 23
 
6.6%
로 23
 
6.6%
산 23
 
6.6%
시 23
 
6.6%
역 23
 
6.6%
광 23
 
6.6%
호 11
 
3.2%
Other values (52) 127
36.6%
None
ValueCountFrequency (%)
， 2
100.0%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:23:45.325679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row051-907-6787
2nd row051-807-4804
3rd row051-635-1199
4th row051-628-2000
5th row051-622-6747
ValueCountFrequency (%)
051-907-6787 1
 
4.3%
051-634-9808 1
 
4.3%
051-746-5494 1
 
4.3%
051-611-2923 1
 
4.3%
051-919-8383 1
 
4.3%
051-625-6186 1
 
4.3%
055-253-8380 1
 
4.3%
051-715-0405 1
 
4.3%
051-900-2221 1
 
4.3%
051-633-2225 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T02:23:46.135233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
0 40
14.5%
5 35
12.7%
1 32
11.6%
6 29
10.5%
2 23
8.3%
7 16
 
5.8%
8 16
 
5.8%
4 15
 
5.4%
3 13
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
17.4%
5 35
15.2%
1 32
13.9%
6 29
12.6%
2 23
10.0%
7 16
 
7.0%
8 16
 
7.0%
4 15
 
6.5%
3 13
 
5.7%
9 11
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
0 40
14.5%
5 35
12.7%
1 32
11.6%
6 29
10.5%
2 23
8.3%
7 16
 
5.8%
8 16
 
5.8%
4 15
 
5.4%
3 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
0 40
14.5%
5 35
12.7%
1 32
11.6%
6 29
10.5%
2 23
8.3%
7 16
 
5.8%
8 16
 
5.8%
4 15
 
5.4%
3 13
 
4.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.132163
Minimum35.116101
Maximum35.149011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T02:23:46.433400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.116101
5-th percentile35.117066
Q135.124118
median35.135297
Q335.137777
95-th percentile35.143984
Maximum35.149011
Range0.03290966
Interquartile range (IQR)0.013659195

Descriptive statistics

Standard deviation0.0094382474
Coefficient of variation (CV)0.00026864977
Kurtosis-0.91112315
Mean35.132163
Median Absolute Deviation (MAD)0.00567299
Skewness-0.2533209
Sum808.03974
Variance8.9080514 × 10-5
MonotonicityNot monotonic
2023-12-11T02:23:46.741337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.135674 1
 
4.3%
35.12109571 1
 
4.3%
35.116833 1
 
4.3%
35.13895 1
 
4.3%
35.122884 1
 
4.3%
35.130087 1
 
4.3%
35.119163 1
 
4.3%
35.129624 1
 
4.3%
35.136348 1
 
4.3%
35.13649122 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
35.1161011 1
4.3%
35.116833 1
4.3%
35.119163 1
4.3%
35.11941409 1
4.3%
35.12109571 1
4.3%
35.122884 1
4.3%
35.12535243 1
4.3%
35.129624 1
4.3%
35.130087 1
4.3%
35.13033528 1
4.3%
ValueCountFrequency (%)
35.14901076 1
4.3%
35.14405358 1
4.3%
35.14335828 1
4.3%
35.14304808 1
4.3%
35.13948909 1
4.3%
35.13895 1
4.3%
35.13660482 1
4.3%
35.13649122 1
4.3%
35.136348 1
4.3%
35.135674 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08617
Minimum129.06277
Maximum129.11488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T02:23:47.034107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06277
5-th percentile129.06692
Q1129.07157
median129.08962
Q3129.09791
95-th percentile129.1142
Maximum129.11488
Range0.0521102
Interquartile range (IQR)0.0263367

Descriptive statistics

Standard deviation0.016143332
Coefficient of variation (CV)0.00012505857
Kurtosis-1.1264672
Mean129.08617
Median Absolute Deviation (MAD)0.016001
Skewness0.26716131
Sum2968.9818
Variance0.00026060716
MonotonicityNot monotonic
2023-12-11T02:23:47.350702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
129.062766 1
 
4.3%
129.1148762 1
 
4.3%
129.095906 1
 
4.3%
129.091546 1
 
4.3%
129.114662 1
 
4.3%
129.098695 1
 
4.3%
129.0991 1
 
4.3%
129.089619 1
 
4.3%
129.070499 1
 
4.3%
129.0669041 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
129.062766 1
4.3%
129.0669041 1
4.3%
129.0670816 1
4.3%
129.0693526 1
4.3%
129.070499 1
4.3%
129.0707084 1
4.3%
129.07243 1
4.3%
129.0731329 1
4.3%
129.073618 1
4.3%
129.0750907 1
4.3%
ValueCountFrequency (%)
129.1148762 1
4.3%
129.114662 1
4.3%
129.1100689 1
4.3%
129.0996203 1
4.3%
129.0991 1
4.3%
129.098695 1
4.3%
129.0971168 1
4.3%
129.095906 1
4.3%
129.0931019 1
4.3%
129.091546 1
4.3%

Interactions

2023-12-11T02:23:40.755026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:39.628562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:40.175961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:40.928432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:39.793443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:40.356213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:41.114760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:39.996220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:40.568797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:23:47.564517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호영업소재지(도로명주소)전화번호위도경도
순번1.0001.0001.0001.0000.2200.221
상호1.0001.0001.0001.0001.0001.000
영업소재지(도로명주소)1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.2201.0001.0001.0001.0000.540
경도0.2211.0001.0001.0000.5401.000
2023-12-11T02:23:47.839572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.0070.110
위도0.0071.000-0.587
경도0.110-0.5871.000

Missing values

2023-12-11T02:23:41.337944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:23:41.560298image/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

순번상호업종영업소재지(도로명주소)전화번호위도경도
01(주)디에이치건영실내건축공사업부산광역시 동구 자성로 104051-907-678735.135674129.062766
12(주)백억인테리어실내건축공사업부산광역시 남구 동명로169번길 66 602호 (용호동)051-807-480435.121096129.114876
23(주)성공디자인실내건축공사업부산광역시 남구 우암로 240 (우암동)051-635-119935.125352129.070708
34(주)세동하우징실내건축공사업부산광역시 남구 지게골로 101-5 2층 (문현동)051-628-200035.135363129.073133
45(주)씨엔에스산업디자인실내건축공사업부산광역시 남구 동명로132번길 84 (용호동)051-622-674735.116101129.110069
56(주)아인건축인테리어실내건축공사업부산광역시 남구 유엔로 155 문화주유소 (대연동)051-523-670035.130335129.093102
67(주)유이디자인실내건축공사업부산광역시 남구 수영로298번길 36 유이빌딩 4층 (대연동)051-625-197735.135297129.09962
78(주)인들디자인실내건축공사업부산광역시 남구 수영로 274-16， 3층 (대연동,인들빌딩)051-626-627735.135166129.097117
89(주)제이앤케이디자인실내건축공사업부산광역시 남구 황령대로319번길 120 상가동 301호 (대연동,장백장미타워)051-621-246835.149011129.091256
910(주)주식회사청호디앤씨실내건축공사업부산광역시 남구 고동골로28번길 20 (문현동)051-634-049635.139489129.07243
순번상호업종영업소재지(도로명주소)전화번호위도경도
1314동녘디자인(주)실내건축공사업부산광역시 남구 전포대로 74， 2층(문현동)051-638-757035.143358129.067082
1415조은건설산업(주)실내건축공사업부산광역시 남구 문현로 37-14 (문현동)051-633-222535.143048129.073618
1516주식회사이룸건축실내건축공사업부산광역시 남구 자성로 152, 1322호 (문현동,한일오피스텔)051-900-222135.136491129.066904
1617㈜씨앤아트실내건축공사업부산광역시 남구 수영로 26, 205호,206호,207호051-715-040535.136348129.070499
1718㈜에펠디자인실내건축공사업부산광역시 남구 유엔로120번가길 7055-253-838035.129624129.089619
1819㈜예온디자인실내건축공사업부산광역시 남구 동명로 26, 108동 302호051-625-618635.119163129.0991
1920유제이비젼실내건축공사업부산광역시 남구 유엔로 124 (대연동)051-919-838335.130087129.098695
2021㈜가야아이앤디실내건축공사업부산광역시 남구 용호로 123번길 64(용호동)051-611-292335.122884129.114662
2122부명건설㈜실내건축공사업부산광역시 남구 진남로36번길 20051-746-549435.13895129.091546
2223(주)포이닉스부산실내건축공사업부산광역시 남구 신선로 340051-625-460635.116833129.095906