Overview

Dataset statistics

Number of variables7
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory64.3 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description부산광역시남구건축관련업체현황_20200529
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081759

Alerts

업종 has constant value ""Constant
No is highly overall correlated with 경도High correlation
경도 is highly overall correlated with NoHigh correlation
No has unique valuesUnique
상호 has unique valuesUnique
영업소재지(도로명주소) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:24:02.787914
Analysis finished2023-12-10 17:24:05.305154
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.2
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T02:24:05.442899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile24.8
Maximum26
Range25
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.57943404
Kurtosis-1.1491729
Mean13.2
Median Absolute Deviation (MAD)6
Skewness0.085267885
Sum330
Variance58.5
MonotonicityStrictly increasing
2023-12-11T02:24:05.788707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
26 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 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 (%)
26 1
4.0%
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

상호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T02:24:06.202227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.6
Min length4

Characters and Unicode

Total characters215
Distinct characters63
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

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)가람아이앤씨
2nd row(주)디에이치건영
3rd row(주)백억인테리어
4th row(주)성공디자인
5th row(주)세동하우징
ValueCountFrequency (%)
주)가람아이앤씨 1
 
4.0%
주)준석 1
 
4.0%
주식회사아티어스디자인 1
 
4.0%
주식회사다온에이디에이 1
 
4.0%
조은건설산업(주 1
 
4.0%
유제이비젼 1
 
4.0%
동일건업 1
 
4.0%
동녘디자인(주 1
 
4.0%
다원디자인 1
 
4.0%
주)탑건축환경디자인 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T02:24:06.967523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.7%
( 19
 
8.8%
) 19
 
8.8%
14
 
6.5%
13
 
6.0%
11
 
5.1%
10
 
4.7%
8
 
3.7%
4
 
1.9%
4
 
1.9%
Other values (53) 90
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
82.3%
Open Punctuation 19
 
8.8%
Close Punctuation 19
 
8.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
13.0%
14
 
7.9%
13
 
7.3%
11
 
6.2%
10
 
5.6%
8
 
4.5%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (51) 82
46.3%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
82.3%
Common 38
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
13.0%
14
 
7.9%
13
 
7.3%
11
 
6.2%
10
 
5.6%
8
 
4.5%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (51) 82
46.3%
Common
ValueCountFrequency (%)
( 19
50.0%
) 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
82.3%
ASCII 38
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23
 
13.0%
14
 
7.9%
13
 
7.3%
11
 
6.2%
10
 
5.6%
8
 
4.5%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (51) 82
46.3%
ASCII
ValueCountFrequency (%)
( 19
50.0%
) 19
50.0%

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

2023-12-11T02:24:07.231215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:07.435524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 25
100.0%
Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T02:24:07.881355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length29.92
Min length21

Characters and Unicode

Total characters748
Distinct characters89
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 row부산광역시 남구 수영로 312 1236호 21센튜리시티오피스텔 (대연동)
2nd row부산광역시 남구 천제등로46번길 19, 상가2층 201호 (대연동, 대왕골든빌리지)
3rd row부산광역시 남구 동명로169번길 66 602호 (용호동)
4th row부산광역시 남구 우암로 240 (우암동)
5th row부산광역시 남구 지게골로 101-5 (문현동)
ValueCountFrequency (%)
부산광역시 25
 
17.2%
남구 25
 
17.2%
대연동 7
 
4.8%
문현동 7
 
4.8%
수영로 3
 
2.1%
자성로 2
 
1.4%
1층 2
 
1.4%
62 2
 
1.4%
상가동 2
 
1.4%
우암동 2
 
1.4%
Other values (63) 68
46.9%
2023-12-11T02:24:08.711038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.0%
34
 
4.5%
2 26
 
3.5%
26
 
3.5%
1 26
 
3.5%
25
 
3.3%
25
 
3.3%
25
 
3.3%
25
 
3.3%
25
 
3.3%
Other values (79) 391
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
58.0%
Decimal Number 128
 
17.1%
Space Separator 120
 
16.0%
Open Punctuation 25
 
3.3%
Close Punctuation 24
 
3.2%
Other Punctuation 14
 
1.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
7.8%
26
 
6.0%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
12
 
2.8%
Other values (63) 187
43.1%
Decimal Number
ValueCountFrequency (%)
2 26
20.3%
1 26
20.3%
6 16
12.5%
0 13
10.2%
3 11
8.6%
4 11
8.6%
5 8
 
6.2%
7 6
 
4.7%
9 6
 
4.7%
8 5
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 9
64.3%
5
35.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
58.0%
Common 314
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
7.8%
26
 
6.0%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
12
 
2.8%
Other values (63) 187
43.1%
Common
ValueCountFrequency (%)
120
38.2%
2 26
 
8.3%
1 26
 
8.3%
( 25
 
8.0%
) 24
 
7.6%
6 16
 
5.1%
0 13
 
4.1%
3 11
 
3.5%
4 11
 
3.5%
, 9
 
2.9%
Other values (6) 33
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
58.0%
ASCII 309
41.3%
None 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
38.8%
2 26
 
8.4%
1 26
 
8.4%
( 25
 
8.1%
) 24
 
7.8%
6 16
 
5.2%
0 13
 
4.2%
3 11
 
3.6%
4 11
 
3.6%
, 9
 
2.9%
Other values (5) 28
 
9.1%
Hangul
ValueCountFrequency (%)
34
 
7.8%
26
 
6.0%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
25
 
5.8%
12
 
2.8%
Other values (63) 187
43.1%
None
ValueCountFrequency (%)
5
100.0%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T02:24:09.089684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length12

Characters and Unicode

Total characters301
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

Unique25 ?
Unique (%)100.0%

Sample

1st row051-610-1197
2nd row051-907-6788
3rd row051-807-4804
4th row051-635-1199
5th row051-628-2000
ValueCountFrequency (%)
051-610-1197 1
 
4.0%
051-644-6722 1
 
4.0%
051-803-8586 1
 
4.0%
051-631-8229 1
 
4.0%
051-633-2225 1
 
4.0%
051-919-8383 1
 
4.0%
070-8966-1186 1
 
4.0%
051-638-7570 1
 
4.0%
051-636-5616 1
 
4.0%
051-628-0390 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T02:24:09.862118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 43
14.3%
1 38
12.6%
6 35
11.6%
5 31
10.3%
8 24
8.0%
2 23
7.6%
3 16
 
5.3%
7 15
 
5.0%
9 13
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 251
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
17.1%
1 38
15.1%
6 35
13.9%
5 31
12.4%
8 24
9.6%
2 23
9.2%
3 16
 
6.4%
7 15
 
6.0%
9 13
 
5.2%
4 13
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 43
14.3%
1 38
12.6%
6 35
11.6%
5 31
10.3%
8 24
8.0%
2 23
7.6%
3 16
 
5.3%
7 15
 
5.0%
9 13
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 43
14.3%
1 38
12.6%
6 35
11.6%
5 31
10.3%
8 24
8.0%
2 23
7.6%
3 16
 
5.3%
7 15
 
5.0%
9 13
 
4.3%

위도
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.133728
Minimum35.116101
Maximum35.149011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T02:24:10.343829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.116101
5-th percentile35.11975
Q135.130042
median35.135297
Q335.139489
95-th percentile35.143915
Maximum35.149011
Range0.03290966
Interquartile range (IQR)0.00944721

Descriptive statistics

Standard deviation0.0083022248
Coefficient of variation (CV)0.00023630355
Kurtosis-0.24116774
Mean35.133728
Median Absolute Deviation (MAD)0.00525511
Skewness-0.44138519
Sum878.34319
Variance6.8926936 × 10-5
MonotonicityNot monotonic
2023-12-11T02:24:10.840765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.13649122 2
 
8.0%
35.13698252 1
 
4.0%
35.11941409 1
 
4.0%
35.12962758 1
 
4.0%
35.14304808 1
 
4.0%
35.13004188 1
 
4.0%
35.14120402 1
 
4.0%
35.14335828 1
 
4.0%
35.13058651 1
 
4.0%
35.13371173 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
35.1161011 1
4.0%
35.11941409 1
4.0%
35.12109571 1
4.0%
35.12145298 1
4.0%
35.12535243 1
4.0%
35.12962758 1
4.0%
35.13004188 1
4.0%
35.13033528 1
4.0%
35.13058651 1
4.0%
35.1319083 1
4.0%
ValueCountFrequency (%)
35.14901076 1
4.0%
35.14405358 1
4.0%
35.14335828 1
4.0%
35.14304808 1
4.0%
35.14120402 1
4.0%
35.14100438 1
4.0%
35.13948909 1
4.0%
35.13698252 1
4.0%
35.13660482 1
4.0%
35.13649122 2
8.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08387
Minimum129.0669
Maximum129.11488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T02:24:11.248304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0669
5-th percentile129.06694
Q1129.07071
median129.08467
Q3129.09352
95-th percentile129.10818
Maximum129.11488
Range0.0479721
Interquartile range (IQR)0.0228118

Descriptive statistics

Standard deviation0.014694784
Coefficient of variation (CV)0.00011383904
Kurtosis-0.96589557
Mean129.08387
Median Absolute Deviation (MAD)0.0136217
Skewness0.46074286
Sum3227.0968
Variance0.00021593667
MonotonicityNot monotonic
2023-12-11T02:24:11.514952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
129.0669041 2
 
8.0%
129.1006196 1
 
4.0%
129.084673 1
 
4.0%
129.0896143 1
 
4.0%
129.073618 1
 
4.0%
129.0896528 1
 
4.0%
129.0691165 1
 
4.0%
129.0670816 1
 
4.0%
129.0710513 1
 
4.0%
129.0935202 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
129.0669041 2
8.0%
129.0670816 1
4.0%
129.0691165 1
4.0%
129.0692675 1
4.0%
129.0693526 1
4.0%
129.0707084 1
4.0%
129.0710513 1
4.0%
129.07243 1
4.0%
129.0731329 1
4.0%
129.073618 1
4.0%
ValueCountFrequency (%)
129.1148762 1
4.0%
129.1100689 1
4.0%
129.1006196 1
4.0%
129.0996203 1
4.0%
129.0994669 1
4.0%
129.0971168 1
4.0%
129.0935202 1
4.0%
129.0931019 1
4.0%
129.0912558 1
4.0%
129.0896528 1
4.0%

Interactions

2023-12-11T02:24:04.325523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:03.237341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:03.751748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:04.505863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:03.396675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:03.938212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:04.720233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:03.585036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:04.143059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:24:11.757079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No상호영업소재지(도로명주소)전화번호위도경도
No1.0001.0001.0001.0000.5100.330
상호1.0001.0001.0001.0001.0001.000
영업소재지(도로명주소)1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.5101.0001.0001.0001.0000.846
경도0.3301.0001.0001.0000.8461.000
2023-12-11T02:24:12.019270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No위도경도
No1.0000.309-0.562
위도0.3091.000-0.467
경도-0.562-0.4671.000

Missing values

2023-12-11T02:24:04.955894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:24:05.217649image/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

No상호업종영업소재지(도로명주소)전화번호위도경도
01(주)가람아이앤씨실내건축공사업부산광역시 남구 수영로 312 1236호 21센튜리시티오피스텔 (대연동)051-610-119735.136983129.10062
12(주)디에이치건영실내건축공사업부산광역시 남구 천제등로46번길 19, 상가2층 201호 (대연동, 대왕골든빌리지)051-907-678835.131908129.088591
23(주)백억인테리어실내건축공사업부산광역시 남구 동명로169번길 66 602호 (용호동)051-807-480435.121096129.114876
34(주)성공디자인실내건축공사업부산광역시 남구 우암로 240 (우암동)051-635-119935.125352129.070708
45(주)세동하우징실내건축공사업부산광역시 남구 지게골로 101-5 (문현동)051-628-200035.135363129.073133
56(주)씨엔에스산업디자인실내건축공사업부산광역시 남구 동명로132번길 84 (용호동)051-622-674735.116101129.110069
67(주)아인건축인테리어실내건축공사업부산광역시 남구 유엔로 155 문화주유소 (대연동)051-523-670035.130335129.093102
78(주)예온디자인실내건축공사업부산광역시 남구 신선로 406, 304호(동명빌딩,용당동051-328-243135.121453129.099467
89(주)유이디자인실내건축공사업부산광역시 남구 수영로298번길 36 유이빌딩 4층 (대연동)051-625-197735.135297129.09962
910(주)인들디자인실내건축공사업부산광역시 남구 수영로 274-16, 3층 (대연동,인들빌딩)051-626-627735.135166129.097117
No상호업종영업소재지(도로명주소)전화번호위도경도
1516(주)코스모하우징실내건축공사업부산광역시 남구 고동골로78번길 67, 1층 (문현동)051-634-980835.144054129.075091
1617(주)탑건축환경디자인실내건축공사업부산광역시 남구 유엔평화로13번길 26 (대연동)051-628-039035.133712129.09352
1718다원디자인실내건축공사업부산광역시 남구 장고개로 62 상가동 206호 (우암동)051-636-561635.130587129.071051
1819동녘디자인(주)실내건축공사업부산광역시 남구 전포대로 74, 2층(문현동)051-638-757035.143358129.067082
1920동일건업실내건축공사업부산광역시 남구 고동골로59번길 62 1층 (문현동)070-8966-118635.141204129.069117
2022유제이비젼실내건축공사업부산광역시 남구 유엔로 124 (대연동)051-919-838335.130042129.089653
2123조은건설산업(주)실내건축공사업부산광역시 남구 문현로 37-14 (문현동)051-633-222535.143048129.073618
2224주식회사다온에이디에이실내건축공사업부산광역시 남구 자성로 152 , 1008호 (문현동,한일오피스텔)051-631-822935.136491129.066904
2325주식회사아티어스디자인실내건축공사업부산광역시 남구 유엔로120번가길 7, 2층 (대연동)051-803-858635.129628129.089614
2426주식회사이룸건축실내건축공사업부산광역시 남구 자성로 152, 1322호 (문현동,한일오피스텔)051-900-222135.136491129.066904