Overview

Dataset statistics

Number of variables7
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory60.8 B

Variable types

Text4
Numeric2
DateTime1

Dataset

Description제주특별자치도 서귀포시 내 지역건축사 회원의 사무소명,주소,전화번호,팩스번호,위도,경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15064363/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사무소명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:48:44.620154
Analysis finished2023-12-11 22:48:45.427091
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사무소명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T07:48:45.566687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.5208333
Min length8

Characters and Unicode

Total characters457
Distinct characters83
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row건축사사무소 한빛
2nd row건축사사무소 혜윰
3rd row정원 건축사사무소
4th row신예 건축사사무소
5th row영 건축사사무소
ValueCountFrequency (%)
건축사사무소 42
45.7%
㈜건축사사무소 2
 
2.2%
도원 1
 
1.1%
위드에이 1
 
1.1%
대창 1
 
1.1%
이담 1
 
1.1%
건축사사무소가온 1
 
1.1%
온 1
 
1.1%
호암종합건축사사무소 1
 
1.1%
지인건축 1
 
1.1%
Other values (40) 40
43.5%
2023-12-12T07:48:45.881038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 96
21.0%
건 54
11.8%
축 54
11.8%
무 48
10.5%
소 48
10.5%
46
10.1%
이 7
 
1.5%
한 5
 
1.1%
우 3
 
0.7%
디 3
 
0.7%
Other values (73) 93
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
88.8%
Space Separator 46
 
10.1%
Uppercase Letter 3
 
0.7%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 96
23.6%
건 54
13.3%
축 54
13.3%
무 48
11.8%
소 48
11.8%
이 7
 
1.7%
한 5
 
1.2%
우 3
 
0.7%
디 3
 
0.7%
호 2
 
0.5%
Other values (68) 86
21.2%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
E 1
33.3%
W 1
33.3%
Space Separator
ValueCountFrequency (%)
46
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
89.3%
Common 46
 
10.1%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 96
23.5%
건 54
13.2%
축 54
13.2%
무 48
11.8%
소 48
11.8%
이 7
 
1.7%
한 5
 
1.2%
우 3
 
0.7%
디 3
 
0.7%
호 2
 
0.5%
Other values (69) 88
21.6%
Latin
ValueCountFrequency (%)
N 1
33.3%
E 1
33.3%
W 1
33.3%
Common
ValueCountFrequency (%)
46
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
88.8%
ASCII 49
 
10.7%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 96
23.6%
건 54
13.3%
축 54
13.3%
무 48
11.8%
소 48
11.8%
이 7
 
1.7%
한 5
 
1.2%
우 3
 
0.7%
디 3
 
0.7%
호 2
 
0.5%
Other values (68) 86
21.2%
ASCII
ValueCountFrequency (%)
46
93.9%
N 1
 
2.0%
E 1
 
2.0%
W 1
 
2.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T07:48:46.116138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length22.708333
Min length19

Characters and Unicode

Total characters1090
Distinct characters63
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

Unique46 ?
Unique (%)95.8%

Sample

1st row제주특별자치도 서귀포시 칠십리로317번길 62
2nd row제주특별자치도 서귀포시 표선면 표선동서로 76
3rd row제주특별자치도 서귀포시 표선면 번영로 3497
4th row제주특별자치도 서귀포시 중앙로 22
5th row제주특별자치도 서귀포시 성산읍 동류암로 51
ValueCountFrequency (%)
제주특별자치도 48
23.9%
서귀포시 48
23.9%
일주동로 8
 
4.0%
중앙로 6
 
3.0%
동홍중앙로 3
 
1.5%
대정읍 3
 
1.5%
3 2
 
1.0%
성산읍 2
 
1.0%
8810 2
 
1.0%
1 2
 
1.0%
Other values (74) 77
38.3%
2023-12-12T07:48:46.459428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
14.1%
주 58
 
5.3%
서 57
 
5.2%
제 48
 
4.4%
로 48
 
4.4%
특 48
 
4.4%
별 48
 
4.4%
자 48
 
4.4%
치 48
 
4.4%
도 48
 
4.4%
Other values (53) 485
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 768
70.5%
Decimal Number 163
 
15.0%
Space Separator 154
 
14.1%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 58
 
7.6%
서 57
 
7.4%
제 48
 
6.2%
로 48
 
6.2%
특 48
 
6.2%
별 48
 
6.2%
자 48
 
6.2%
치 48
 
6.2%
도 48
 
6.2%
귀 48
 
6.2%
Other values (41) 269
35.0%
Decimal Number
ValueCountFrequency (%)
1 32
19.6%
2 25
15.3%
6 18
11.0%
8 16
9.8%
7 16
9.8%
3 15
9.2%
0 13
8.0%
4 11
 
6.7%
5 11
 
6.7%
9 6
 
3.7%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
70.5%
Common 322
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 58
 
7.6%
서 57
 
7.4%
제 48
 
6.2%
로 48
 
6.2%
특 48
 
6.2%
별 48
 
6.2%
자 48
 
6.2%
치 48
 
6.2%
도 48
 
6.2%
귀 48
 
6.2%
Other values (41) 269
35.0%
Common
ValueCountFrequency (%)
154
47.8%
1 32
 
9.9%
2 25
 
7.8%
6 18
 
5.6%
8 16
 
5.0%
7 16
 
5.0%
3 15
 
4.7%
0 13
 
4.0%
4 11
 
3.4%
5 11
 
3.4%
Other values (2) 11
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 768
70.5%
ASCII 322
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
47.8%
1 32
 
9.9%
2 25
 
7.8%
6 18
 
5.6%
8 16
 
5.0%
7 16
 
5.0%
3 15
 
4.7%
0 13
 
4.0%
4 11
 
3.4%
5 11
 
3.4%
Other values (2) 11
 
3.4%
Hangul
ValueCountFrequency (%)
주 58
 
7.6%
서 57
 
7.4%
제 48
 
6.2%
로 48
 
6.2%
특 48
 
6.2%
별 48
 
6.2%
자 48
 
6.2%
치 48
 
6.2%
도 48
 
6.2%
귀 48
 
6.2%
Other values (41) 269
35.0%

전화번호
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T07:48:46.648659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.770833
Min length1

Characters and Unicode

Total characters565
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

Unique46 ?
Unique (%)95.8%

Sample

1st row064-733-9780
2nd row064-787-7566
3rd row064-787-2746
4th row064-733-0810
5th row064-784-0309
ValueCountFrequency (%)
064-763-1414 2
 
4.2%
064-748-3009 1
 
2.1%
064-733-0517 1
 
2.1%
064-733-9993 1
 
2.1%
064-732-6451 1
 
2.1%
064-732-0075 1
 
2.1%
064-805-3007 1
 
2.1%
064-762-4578 1
 
2.1%
064-767-4441 1
 
2.1%
064-762-4285 1
 
2.1%
Other values (37) 37
77.1%
2023-12-12T07:48:46.943218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 95
16.8%
0 85
15.0%
6 73
12.9%
4 68
12.0%
7 67
11.9%
3 55
9.7%
2 35
 
6.2%
9 26
 
4.6%
1 22
 
3.9%
5 20
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.2%
Dash Punctuation 95
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
18.1%
6 73
15.5%
4 68
14.5%
7 67
14.3%
3 55
11.7%
2 35
7.4%
9 26
 
5.5%
1 22
 
4.7%
5 20
 
4.3%
8 19
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 95
16.8%
0 85
15.0%
6 73
12.9%
4 68
12.0%
7 67
11.9%
3 55
9.7%
2 35
 
6.2%
9 26
 
4.6%
1 22
 
3.9%
5 20
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 95
16.8%
0 85
15.0%
6 73
12.9%
4 68
12.0%
7 67
11.9%
3 55
9.7%
2 35
 
6.2%
9 26
 
4.6%
1 22
 
3.9%
5 20
 
3.5%

팩스번호
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T07:48:47.137750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters578
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

Unique46 ?
Unique (%)95.8%

Sample

1st row064-733-9782
2nd row064-787-7565
3rd row064-787-2745
4th row064-733-0811
5th row064-784-3309
ValueCountFrequency (%)
064-763-4433 2
 
4.2%
064-757-3009 1
 
2.1%
064-763-0578 1
 
2.1%
064-733-9994 1
 
2.1%
064-733-6451 1
 
2.1%
064-732-1375 1
 
2.1%
064-805-3008 1
 
2.1%
064-763-6260 1
 
2.1%
064-767-4443 1
 
2.1%
064-732-4285 1
 
2.1%
Other values (37) 37
77.1%
2023-12-12T07:48:47.463181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.6%
0 88
15.2%
6 76
13.1%
4 67
11.6%
3 67
11.6%
7 59
10.2%
2 32
 
5.5%
9 30
 
5.2%
8 24
 
4.2%
5 23
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 482
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
18.3%
6 76
15.8%
4 67
13.9%
3 67
13.9%
7 59
12.2%
2 32
 
6.6%
9 30
 
6.2%
8 24
 
5.0%
5 23
 
4.8%
1 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.6%
0 88
15.2%
6 76
13.1%
4 67
11.6%
3 67
11.6%
7 59
10.2%
2 32
 
5.5%
9 30
 
5.2%
8 24
 
4.2%
5 23
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.6%
0 88
15.2%
6 76
13.1%
4 67
11.6%
3 67
11.6%
7 59
10.2%
2 32
 
5.5%
9 30
 
5.2%
8 24
 
4.2%
5 23
 
4.0%

위도
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.264222
Minimum33.218733
Maximum33.45052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T07:48:47.607938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.218733
5-th percentile33.244831
Q133.25139
median33.254356
Q333.257887
95-th percentile33.328206
Maximum33.45052
Range0.23178702
Interquartile range (IQR)0.0064975175

Descriptive statistics

Standard deviation0.042520225
Coefficient of variation (CV)0.001278257
Kurtosis14.621682
Mean33.264222
Median Absolute Deviation (MAD)0.0030752585
Skewness3.770131
Sum1596.6827
Variance0.0018079695
MonotonicityNot monotonic
2023-12-12T07:48:47.747175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
33.2543560246 2
 
4.2%
33.2461142577 1
 
2.1%
33.2589844073 1
 
2.1%
33.2633470512 1
 
2.1%
33.2500610295 1
 
2.1%
33.2272095957 1
 
2.1%
33.2548554026 1
 
2.1%
33.2530910639 1
 
2.1%
33.2507749456 1
 
2.1%
33.253651757 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
33.2187327145 1
2.1%
33.2272095957 1
2.1%
33.244140636 1
2.1%
33.2461142577 1
2.1%
33.2466288169 1
2.1%
33.2481191687 1
2.1%
33.2488167938 1
2.1%
33.2492467878 1
2.1%
33.2497519189 1
2.1%
33.2500610295 1
2.1%
ValueCountFrequency (%)
33.4505197355 1
2.1%
33.4489825636 1
2.1%
33.3365860856 1
2.1%
33.3126439561 1
2.1%
33.2730153195 1
2.1%
33.2633470512 1
2.1%
33.2629947338 1
2.1%
33.2621898785 1
2.1%
33.2602039014 1
2.1%
33.2598971577 1
2.1%

경도
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.56587
Minimum126.25149
Maximum126.91527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T07:48:47.860624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25149
5-th percentile126.299
Q1126.55644
median126.56369
Q3126.57284
95-th percentile126.82726
Maximum126.91527
Range0.66377506
Interquartile range (IQR)0.016394535

Descriptive statistics

Standard deviation0.12492699
Coefficient of variation (CV)0.00098705114
Kurtosis3.5010879
Mean126.56587
Median Absolute Deviation (MAD)0.0085158617
Skewness0.27069899
Sum6075.1618
Variance0.015606752
MonotonicityNot monotonic
2023-12-12T07:48:48.017172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
126.5478537179 2
 
4.2%
126.5914843964 1
 
2.1%
126.5685253356 1
 
2.1%
126.5586161141 1
 
2.1%
126.5721683006 1
 
2.1%
126.256241361 1
 
2.1%
126.5678523844 1
 
2.1%
126.5620449952 1
 
2.1%
126.5615044453 1
 
2.1%
126.5606560455 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
126.2514911102 1
2.1%
126.256241361 1
2.1%
126.2837967448 1
2.1%
126.3272334304 1
2.1%
126.5062065355 1
2.1%
126.506922571 1
2.1%
126.5080988657 1
2.1%
126.5478537179 2
4.2%
126.550726655 1
2.1%
126.5512042203 1
2.1%
ValueCountFrequency (%)
126.9152661678 1
2.1%
126.9143688448 1
2.1%
126.828777715 1
2.1%
126.8244343948 1
2.1%
126.6521348982 1
2.1%
126.6112099085 1
2.1%
126.5914843964 1
2.1%
126.5765789059 1
2.1%
126.5760608 1
2.1%
126.5760546886 1
2.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2020-03-31 00:00:00
Maximum2020-03-31 00:00:00
2023-12-12T07:48:48.130795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:48.205478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:48:45.094401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:44.908640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:45.184824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:44.994294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:48:48.505478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무소명주소전화번호팩스번호위도경도
사무소명1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0000.926
경도1.0001.0001.0001.0000.9261.000
2023-12-12T07:48:48.588850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.448
경도0.4481.000

Missing values

2023-12-12T07:48:45.290203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:48:45.386869image/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

사무소명주소전화번호팩스번호위도경도데이터기준일자
0건축사사무소 한빛제주특별자치도 서귀포시 칠십리로317번길 62064-733-9780064-733-978233.246114126.5914842020-03-31
1건축사사무소 혜윰제주특별자치도 서귀포시 표선면 표선동서로 76064-787-7566064-787-756533.312644126.8244342020-03-31
2정원 건축사사무소제주특별자치도 서귀포시 표선면 번영로 3497064-787-2746064-787-274533.336586126.8287782020-03-31
3신예 건축사사무소제주특별자치도 서귀포시 중앙로 22064-733-0810064-733-081133.246629126.5620982020-03-31
4영 건축사사무소제주특별자치도 서귀포시 성산읍 동류암로 51064-784-0309064-784-330933.448983126.9152662020-03-31
5건축사사무소 이즈건축제주특별자치도 서귀포시 동홍동로 25064-732-3262064-732-326333.257216126.5746292020-03-31
6건축사사무소 NEW제주특별자치도 서귀포시 신서로48번길 10064-739-4810064-739-646533.25386126.5062072020-03-31
7해밀종합건축사사무소제주특별자치도 서귀포시 서홍로161064-732-2940064-732-294233.26219126.5512042020-03-31
8제이엠 건축사사무소제주특별자치도 서귀포시 일주동로 8810064-763-1414064-763-443333.254356126.5478542020-03-31
9건축사사무소노리디자인제주특별자치도 서귀포시 남원읍 태위로 41번지-0303-3130-590833.273015126.6521352020-03-31
사무소명주소전화번호팩스번호위도경도데이터기준일자
38건축사사무소 생활공간제주특별자치도 서귀포시 동홍중앙로 94064-805-0007064-805-000933.259001126.5722382020-03-31
39건축사사무소 휘제주특별자치도 서귀포시 일주동로 8660064-767-0904064-733-090433.253853126.5630282020-03-31
40건축사사무소 부건축제주특별자치도 서귀포시 서문로38번길 23-1064-762-5222064-762-522333.251371126.5567012020-03-31
41건축사사무소 나우제주특별자치도 서귀포시 중앙로 39064-763-2555064-763-558033.248119126.5615492020-03-31
42건축사사무소 이현건축제주특별자치도 서귀포시 동홍중앙로51번길 2064-762-3142064-762-314333.255369126.5718452020-03-31
43조은 건축사사무소제주특별자치도 서귀포시 동홍중앙로 52번길 41064-732-5484064-732-548533.255438126.5765792020-03-31
44피아이 건축사사무소제주특별자치도 서귀포시 동홍중앙로66번길 30-7064-902-1922064-900-702133.255839126.5754262020-03-31
45삼 건축사사무소제주특별자치도 서귀포시 중정로 123064-733-0656064-733-065733.248817126.5694812020-03-31
46한성일 건축사사무소제주특별자치도 서귀포시 동홍로 12번길 1064-763-0801064-763-180233.249752126.5680122020-03-31
47한별 건축사사무소제주특별자치도 서귀포시 대정읍 일주서로 2193-17064-792-3739064-792-374033.249247126.2837972020-03-31