Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory65.0 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description부산광역시남구건축관련업체현황_20220520
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081759

Alerts

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

Reproduction

Analysis started2023-12-10 17:23:51.074640
Analysis finished2023-12-10 17:23:53.760823
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:23:53.877248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-11T02:23:54.096617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

상호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:23:54.409508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.1363636
Min length2

Characters and Unicode

Total characters179
Distinct characters56
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

Unique22 ?
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
 
4.5%
주)백억인테리어 1
 
4.5%
주식회사아티어스디자인 1
 
4.5%
상상 1
 
4.5%
조은건설산업(주 1
 
4.5%
동일건업 1
 
4.5%
동녘디자인(주 1
 
4.5%
다원디자인 1
 
4.5%
세진인테리어 1
 
4.5%
주)코스모하우징 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T02:23:55.054733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 19
 
10.6%
( 16
 
8.9%
) 16
 
8.9%
인 13
 
7.3%
디 10
 
5.6%
자 8
 
4.5%
이 7
 
3.9%
건 7
 
3.9%
어 4
 
2.2%
사 3
 
1.7%
Other values (46) 76
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
82.1%
Open Punctuation 16
 
8.9%
Close Punctuation 16
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
12.9%
인 13
 
8.8%
디 10
 
6.8%
자 8
 
5.4%
이 7
 
4.8%
건 7
 
4.8%
어 4
 
2.7%
사 3
 
2.0%
회 3
 
2.0%
식 3
 
2.0%
Other values (44) 70
47.6%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
82.1%
Common 32
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
12.9%
인 13
 
8.8%
디 10
 
6.8%
자 8
 
5.4%
이 7
 
4.8%
건 7
 
4.8%
어 4
 
2.7%
사 3
 
2.0%
회 3
 
2.0%
식 3
 
2.0%
Other values (44) 70
47.6%
Common
ValueCountFrequency (%)
( 16
50.0%
) 16
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
82.1%
ASCII 32
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 19
 
12.9%
인 13
 
8.8%
디 10
 
6.8%
자 8
 
5.4%
이 7
 
4.8%
건 7
 
4.8%
어 4
 
2.7%
사 3
 
2.0%
회 3
 
2.0%
식 3
 
2.0%
Other values (44) 70
47.6%
ASCII
ValueCountFrequency (%)
( 16
50.0%
) 16
50.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
실내건축공사업
22 

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 22
100.0%

Length

2023-12-11T02:23:55.298342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:23:55.531112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 22
100.0%

영업소재지(도로명주소)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:23:55.994607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30.5
Mean length28.545455
Min length16

Characters and Unicode

Total characters628
Distinct characters77
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

Unique22 ?
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 22
 
17.6%
남구 21
 
16.8%
문현동 7
 
5.6%
대연동 4
 
3.2%
자성로 3
 
2.4%
고동골로59번길 2
 
1.6%
62 2
 
1.6%
1층 2
 
1.6%
수영로 2
 
1.6%
2층 2
 
1.6%
Other values (53) 58
46.4%
2023-12-11T02:23:56.784206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
16.4%
동 30
 
4.8%
부 22
 
3.5%
광 22
 
3.5%
역 22
 
3.5%
시 22
 
3.5%
구 22
 
3.5%
산 22
 
3.5%
로 22
 
3.5%
) 21
 
3.3%
Other values (67) 320
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
58.0%
Decimal Number 106
 
16.9%
Space Separator 103
 
16.4%
Close Punctuation 21
 
3.3%
Open Punctuation 21
 
3.3%
Other Punctuation 10
 
1.6%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
8.2%
부 22
 
6.0%
광 22
 
6.0%
역 22
 
6.0%
시 22
 
6.0%
구 22
 
6.0%
산 22
 
6.0%
로 22
 
6.0%
남 21
 
5.8%
문 12
 
3.3%
Other values (51) 147
40.4%
Decimal Number
ValueCountFrequency (%)
2 21
19.8%
1 21
19.8%
6 13
12.3%
0 11
10.4%
3 8
 
7.5%
4 8
 
7.5%
5 8
 
7.5%
7 6
 
5.7%
9 5
 
4.7%
8 5
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
， 2
 
20.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
58.0%
Common 264
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
8.2%
부 22
 
6.0%
광 22
 
6.0%
역 22
 
6.0%
시 22
 
6.0%
구 22
 
6.0%
산 22
 
6.0%
로 22
 
6.0%
남 21
 
5.8%
문 12
 
3.3%
Other values (51) 147
40.4%
Common
ValueCountFrequency (%)
103
39.0%
) 21
 
8.0%
( 21
 
8.0%
2 21
 
8.0%
1 21
 
8.0%
6 13
 
4.9%
0 11
 
4.2%
3 8
 
3.0%
, 8
 
3.0%
4 8
 
3.0%
Other values (6) 29
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
58.0%
ASCII 262
41.7%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
39.3%
) 21
 
8.0%
( 21
 
8.0%
2 21
 
8.0%
1 21
 
8.0%
6 13
 
5.0%
0 11
 
4.2%
3 8
 
3.1%
, 8
 
3.1%
4 8
 
3.1%
Other values (5) 27
 
10.3%
Hangul
ValueCountFrequency (%)
동 30
 
8.2%
부 22
 
6.0%
광 22
 
6.0%
역 22
 
6.0%
시 22
 
6.0%
구 22
 
6.0%
산 22
 
6.0%
로 22
 
6.0%
남 21
 
5.8%
문 12
 
3.3%
Other values (51) 147
40.4%
None
ValueCountFrequency (%)
， 2
100.0%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:23:57.241220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique22 ?
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
 
4.5%
051-807-4804 1
 
4.5%
051-803-8586 1
 
4.5%
051-631-8229 1
 
4.5%
051-633-2225 1
 
4.5%
070-8966-1186 1
 
4.5%
051-638-7570 1
 
4.5%
051-636-5616 1
 
4.5%
051-415-5709 1
 
4.5%
051-634-9808 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T02:23:57.918137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
6 33
12.5%
1 31
11.7%
5 30
11.3%
2 20
7.5%
8 19
7.2%
7 16
 
6.0%
4 13
 
4.9%
3 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
17.2%
6 33
14.9%
1 31
14.0%
5 30
13.6%
2 20
9.0%
8 19
8.6%
7 16
7.2%
4 13
 
5.9%
3 11
 
5.0%
9 10
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
6 33
12.5%
1 31
11.7%
5 30
11.3%
2 20
7.5%
8 19
7.2%
7 16
 
6.0%
4 13
 
4.9%
3 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
6 33
12.5%
1 31
11.7%
5 30
11.3%
2 20
7.5%
8 19
7.2%
7 16
 
6.0%
4 13
 
4.9%
3 11
 
4.2%

위도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.134476
Minimum35.116101
Maximum35.149011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:23:58.212417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.116101
5-th percentile35.119498
Q135.130398
median35.135519
Q335.140626
95-th percentile35.144019
Maximum35.149011
Range0.03290966
Interquartile range (IQR)0.01022747

Descriptive statistics

Standard deviation0.0083596089
Coefficient of variation (CV)0.00023793179
Kurtosis0.085809271
Mean35.134476
Median Absolute Deviation (MAD)0.00533455
Skewness-0.62801006
Sum772.95848
Variance6.9883061 × 10-5
MonotonicityNot monotonic
2023-12-11T02:23:58.524068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.13649122 2
 
9.1%
35.135674 1
 
4.5%
35.12109571 1
 
4.5%
35.12962758 1
 
4.5%
35.14304808 1
 
4.5%
35.14120402 1
 
4.5%
35.14335828 1
 
4.5%
35.13058651 1
 
4.5%
35.13371173 1
 
4.5%
35.14405358 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
35.1161011 1
4.5%
35.11941409 1
4.5%
35.12109571 1
4.5%
35.12535243 1
4.5%
35.12962758 1
4.5%
35.13033528 1
4.5%
35.13058651 1
4.5%
35.13371173 1
4.5%
35.13516647 1
4.5%
35.13529699 1
4.5%
ValueCountFrequency (%)
35.14901076 1
4.5%
35.14405358 1
4.5%
35.14335828 1
4.5%
35.14304808 1
4.5%
35.14120402 1
4.5%
35.14100438 1
4.5%
35.13948909 1
4.5%
35.13660482 1
4.5%
35.13649122 2
9.1%
35.135674 1
4.5%

경도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08097
Minimum129.06277
Maximum129.11488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:23:58.840272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06277
5-th percentile129.0669
Q1129.06929
median129.07338
Q3129.09264
95-th percentile129.10955
Maximum129.11488
Range0.0521102
Interquartile range (IQR)0.0233516

Descriptive statistics

Standard deviation0.015217306
Coefficient of variation (CV)0.00011788962
Kurtosis-0.39795954
Mean129.08097
Median Absolute Deviation (MAD)0.00647135
Skewness0.847807
Sum2839.7813
Variance0.0002315664
MonotonicityNot monotonic
2023-12-11T02:23:59.141266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.0669041 2
 
9.1%
129.062766 1
 
4.5%
129.1148762 1
 
4.5%
129.0896143 1
 
4.5%
129.073618 1
 
4.5%
129.0691165 1
 
4.5%
129.0670816 1
 
4.5%
129.0710513 1
 
4.5%
129.0935202 1
 
4.5%
129.0750907 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
129.062766 1
4.5%
129.0669041 2
9.1%
129.0670816 1
4.5%
129.0691165 1
4.5%
129.0692675 1
4.5%
129.0693526 1
4.5%
129.0707084 1
4.5%
129.0710513 1
4.5%
129.07243 1
4.5%
129.0731329 1
4.5%
ValueCountFrequency (%)
129.1148762 1
4.5%
129.1100689 1
4.5%
129.0996203 1
4.5%
129.0971168 1
4.5%
129.0935202 1
4.5%
129.0931019 1
4.5%
129.0912558 1
4.5%
129.0896143 1
4.5%
129.084673 1
4.5%
129.0750907 1
4.5%

Interactions

2023-12-11T02:23:52.822765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:51.555932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:52.182005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:52.996660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:51.742108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:52.393895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:53.193069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:51.981516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:23:52.634945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:23:59.360584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호영업소재지(도로명주소)전화번호위도경도
순번1.0001.0001.0001.0000.0000.269
상호1.0001.0001.0001.0001.0001.000
영업소재지(도로명주소)1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.648
경도0.2691.0001.0001.0000.6481.000
2023-12-11T02:23:59.649078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.382-0.353
위도0.3821.000-0.471
경도-0.353-0.4711.000

Missing values

2023-12-11T02:23:53.439729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:23:53.684136image/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)제이아이건축실내건축공사업부산광역시 남구 고동골로59번길 61 (문현동)051-644-886635.141004129.069267
910(주)제이앤케이디자인실내건축공사업부산광역시 남구 황령대로319번길 120 상가동 301호 (대연동,장백장미타워)051-621-246835.149011129.091256
순번상호업종영업소재지(도로명주소)전화번호위도경도
1213(주)창조건설실내건축공사업부산광역시 남구 수영로 14 (문현동)051-638-884635.136605129.069353
1314(주)코스모하우징실내건축공사업부산광역시 남구 고동골로78번길 67, 1층 (문현동)051-634-980835.144054129.075091
1415세진인테리어실내건축공사업부산광역시 남구 유엔평화로13번길 26 (대연동)051-415-570935.133712129.09352
1516다원디자인실내건축공사업부산광역시 남구 장고개로 62 상가동 206호 (우암동)051-636-561635.130587129.071051
1617동녘디자인(주)실내건축공사업부산광역시 남구 전포대로 74， 2층(문현동)051-638-757035.143358129.067082
1718동일건업실내건축공사업부산광역시 남구 고동골로59번길 62 1층 (문현동)070-8966-118635.141204129.069117
1819조은건설산업(주)실내건축공사업부산광역시 남구 문현로 37-14 (문현동)051-633-222535.143048129.073618
1920상상실내건축공사업부산광역시 남구 자성로 152 , 1008호 (문현동,한일오피스텔)051-631-822935.136491129.066904
2021주식회사아티어스디자인실내건축공사업부산광역시 남구 유엔로120번가길 7, 2층 (대연동)051-803-858635.129628129.089614
2122주식회사이룸건축실내건축공사업부산광역시 남구 자성로 152, 1322호 (문현동,한일오피스텔)051-900-222135.136491129.066904