Overview

Dataset statistics

Number of variables4
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Text3
Numeric1

Dataset

Description울산광역시 남구 석면건축물 정보에 대한 데이터로 건물명, 세부위치, 소재지도로명주소, 석면건축자재면적(제곱미터) 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/3076234/fileData.do

Alerts

세부위치 has unique valuesUnique
석면건축자재면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:11:55.650838
Analysis finished2023-12-12 12:11:56.227057
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

Distinct44
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T21:11:56.413272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.425926
Min length4

Characters and Unicode

Total characters563
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)74.1%

Sample

1st row한국동서발전 울산화력
2nd row한국동서발전 울산화력
3rd row한국동서발전 울산화력
4th row한국동서발전 울산화력
5th row한국동서발전 울산화력
ValueCountFrequency (%)
한국전력공사 7
 
7.5%
한국동서발전 5
 
5.4%
울산화력 5
 
5.4%
용연하수처리장 4
 
4.3%
본점 4
 
4.3%
울산세관 3
 
3.2%
154kv옥내 3
 
3.2%
울산지사 2
 
2.2%
울산수협 2
 
2.2%
농수산물도매시장 2
 
2.2%
Other values (56) 56
60.2%
2023-12-12T21:11:56.779325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
6.9%
산 37
 
6.6%
울 30
 
5.3%
국 21
 
3.7%
전 20
 
3.6%
한 17
 
3.0%
동 15
 
2.7%
력 14
 
2.5%
사 12
 
2.1%
지 11
 
2.0%
Other values (109) 347
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
87.0%
Space Separator 39
 
6.9%
Decimal Number 14
 
2.5%
Uppercase Letter 10
 
1.8%
Lowercase Letter 4
 
0.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 37
 
7.6%
울 30
 
6.1%
국 21
 
4.3%
전 20
 
4.1%
한 17
 
3.5%
동 15
 
3.1%
력 14
 
2.9%
사 12
 
2.4%
지 11
 
2.2%
공 11
 
2.2%
Other values (95) 302
61.6%
Uppercase Letter
ValueCountFrequency (%)
V 4
40.0%
B 2
20.0%
K 2
20.0%
I 1
 
10.0%
S 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
5 4
28.6%
4 4
28.6%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
87.0%
Common 59
 
10.5%
Latin 14
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 37
 
7.6%
울 30
 
6.1%
국 21
 
4.3%
전 20
 
4.1%
한 17
 
3.5%
동 15
 
3.1%
력 14
 
2.9%
사 12
 
2.4%
지 11
 
2.2%
공 11
 
2.2%
Other values (95) 302
61.6%
Common
ValueCountFrequency (%)
39
66.1%
1 6
 
10.2%
5 4
 
6.8%
4 4
 
6.8%
( 2
 
3.4%
) 2
 
3.4%
[ 1
 
1.7%
] 1
 
1.7%
Latin
ValueCountFrequency (%)
k 4
28.6%
V 4
28.6%
B 2
14.3%
K 2
14.3%
I 1
 
7.1%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
87.0%
ASCII 73
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
53.4%
1 6
 
8.2%
5 4
 
5.5%
4 4
 
5.5%
k 4
 
5.5%
V 4
 
5.5%
( 2
 
2.7%
) 2
 
2.7%
B 2
 
2.7%
K 2
 
2.7%
Other values (4) 4
 
5.5%
Hangul
ValueCountFrequency (%)
산 37
 
7.6%
울 30
 
6.1%
국 21
 
4.3%
전 20
 
4.1%
한 17
 
3.5%
동 15
 
3.1%
력 14
 
2.9%
사 12
 
2.4%
지 11
 
2.2%
공 11
 
2.2%
Other values (95) 302
61.6%

세부위치
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T21:11:56.990038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.2407407
Min length3

Characters and Unicode

Total characters499
Distinct characters126
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

Unique54 ?
Unique (%)100.0%

Sample

1st row종합창고2
2nd row종합창고1
3rd row정비실
4th row종합사무실
5th row제2복합발전소
ValueCountFrequency (%)
한국전력공사 7
 
8.4%
154kv 5
 
6.0%
울산지사 3
 
3.6%
본점 3
 
3.6%
울산수협 2
 
2.4%
울산세관 2
 
2.4%
종합창고2 1
 
1.2%
대나리문화회관 1
 
1.2%
남울산우체국(울산신정동우체국 1
 
1.2%
삼산동우체국 1
 
1.2%
Other values (57) 57
68.7%
2023-12-12T21:11:57.331551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
5.8%
산 28
 
5.6%
울 22
 
4.4%
국 17
 
3.4%
사 15
 
3.0%
동 13
 
2.6%
전 13
 
2.6%
공 13
 
2.6%
한 12
 
2.4%
남 11
 
2.2%
Other values (116) 326
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
83.4%
Space Separator 29
 
5.8%
Decimal Number 23
 
4.6%
Uppercase Letter 16
 
3.2%
Open Punctuation 6
 
1.2%
Close Punctuation 6
 
1.2%
Other Punctuation 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 28
 
6.7%
울 22
 
5.3%
국 17
 
4.1%
사 15
 
3.6%
동 13
 
3.1%
전 13
 
3.1%
공 13
 
3.1%
한 12
 
2.9%
남 11
 
2.6%
지 10
 
2.4%
Other values (100) 262
63.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
37.5%
V 5
31.2%
B 2
 
12.5%
A 1
 
6.2%
I 1
 
6.2%
S 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 7
30.4%
4 6
26.1%
5 6
26.1%
2 3
13.0%
6 1
 
4.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
83.4%
Common 66
 
13.2%
Latin 17
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 28
 
6.7%
울 22
 
5.3%
국 17
 
4.1%
사 15
 
3.6%
동 13
 
3.1%
전 13
 
3.1%
공 13
 
3.1%
한 12
 
2.9%
남 11
 
2.6%
지 10
 
2.4%
Other values (100) 262
63.0%
Common
ValueCountFrequency (%)
29
43.9%
1 7
 
10.6%
4 6
 
9.1%
5 6
 
9.1%
( 6
 
9.1%
) 6
 
9.1%
2 3
 
4.5%
, 2
 
3.0%
6 1
 
1.5%
Latin
ValueCountFrequency (%)
K 6
35.3%
V 5
29.4%
B 2
 
11.8%
A 1
 
5.9%
k 1
 
5.9%
I 1
 
5.9%
S 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
83.4%
ASCII 83
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
34.9%
1 7
 
8.4%
K 6
 
7.2%
4 6
 
7.2%
5 6
 
7.2%
( 6
 
7.2%
) 6
 
7.2%
V 5
 
6.0%
2 3
 
3.6%
, 2
 
2.4%
Other values (6) 7
 
8.4%
Hangul
ValueCountFrequency (%)
산 28
 
6.7%
울 22
 
5.3%
국 17
 
4.1%
사 15
 
3.6%
동 13
 
3.1%
전 13
 
3.1%
공 13
 
3.1%
한 12
 
2.9%
남 11
 
2.6%
지 10
 
2.4%
Other values (100) 262
63.0%

소재지도로명주소
Text

Distinct43
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T21:11:57.567719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length22.592593
Min length21

Characters and Unicode

Total characters1220
Distinct characters73
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)70.4%

Sample

1st row울산광역시 남구 용잠로 623 (남화동)
2nd row울산광역시 남구 용잠로 623 (남화동)
3rd row울산광역시 남구 용잠로 623 (남화동)
4th row울산광역시 남구 용잠로 623 (남화동)
5th row울산광역시 남구 용잠로 623 (남화동)
ValueCountFrequency (%)
울산광역시 54
20.0%
남구 54
20.0%
신정동 13
 
4.8%
삼산동 7
 
2.6%
남화동 6
 
2.2%
623 6
 
2.2%
용잠로 6
 
2.2%
용연로 5
 
1.9%
360 4
 
1.5%
황성동 4
 
1.5%
Other values (73) 111
41.1%
2023-12-12T21:11:57.948851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
17.7%
산 71
 
5.8%
남 60
 
4.9%
동 55
 
4.5%
울 54
 
4.4%
( 54
 
4.4%
) 54
 
4.4%
로 54
 
4.4%
구 54
 
4.4%
시 54
 
4.4%
Other values (63) 494
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
60.2%
Space Separator 216
 
17.7%
Decimal Number 159
 
13.0%
Open Punctuation 54
 
4.4%
Close Punctuation 54
 
4.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 71
 
9.7%
남 60
 
8.2%
동 55
 
7.5%
울 54
 
7.3%
로 54
 
7.3%
구 54
 
7.3%
시 54
 
7.3%
역 54
 
7.3%
광 54
 
7.3%
용 14
 
1.9%
Other values (49) 211
28.7%
Decimal Number
ValueCountFrequency (%)
2 33
20.8%
3 24
15.1%
1 23
14.5%
7 14
8.8%
6 14
8.8%
0 14
8.8%
5 11
 
6.9%
8 10
 
6.3%
4 9
 
5.7%
9 7
 
4.4%
Space Separator
ValueCountFrequency (%)
216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
60.2%
Common 485
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 71
 
9.7%
남 60
 
8.2%
동 55
 
7.5%
울 54
 
7.3%
로 54
 
7.3%
구 54
 
7.3%
시 54
 
7.3%
역 54
 
7.3%
광 54
 
7.3%
용 14
 
1.9%
Other values (49) 211
28.7%
Common
ValueCountFrequency (%)
216
44.5%
( 54
 
11.1%
) 54
 
11.1%
2 33
 
6.8%
3 24
 
4.9%
1 23
 
4.7%
7 14
 
2.9%
6 14
 
2.9%
0 14
 
2.9%
5 11
 
2.3%
Other values (4) 28
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
60.2%
ASCII 485
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
44.5%
( 54
 
11.1%
) 54
 
11.1%
2 33
 
6.8%
3 24
 
4.9%
1 23
 
4.7%
7 14
 
2.9%
6 14
 
2.9%
0 14
 
2.9%
5 11
 
2.3%
Other values (4) 28
 
5.8%
Hangul
ValueCountFrequency (%)
산 71
 
9.7%
남 60
 
8.2%
동 55
 
7.5%
울 54
 
7.3%
로 54
 
7.3%
구 54
 
7.3%
시 54
 
7.3%
역 54
 
7.3%
광 54
 
7.3%
용 14
 
1.9%
Other values (49) 211
28.7%

석면건축자재면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean962.56963
Minimum80
Maximum4647.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T21:11:58.081395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile120.6395
Q1238.18
median527.39
Q31323.23
95-th percentile3284.8155
Maximum4647.26
Range4567.26
Interquartile range (IQR)1085.05

Descriptive statistics

Standard deviation1096.8282
Coefficient of variation (CV)1.1394793
Kurtosis3.6611935
Mean962.56963
Median Absolute Deviation (MAD)349.19
Skewness1.9550191
Sum51978.76
Variance1203032.1
MonotonicityNot monotonic
2023-12-12T21:11:58.228541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.11 1
 
1.9%
1631.93 1
 
1.9%
3745.88 1
 
1.9%
397.87 1
 
1.9%
1289.27 1
 
1.9%
278.49 1
 
1.9%
403.22 1
 
1.9%
740.0 1
 
1.9%
223.0 1
 
1.9%
1813.0 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
80.0 1
1.9%
105.3 1
1.9%
114.38 1
1.9%
124.01 1
1.9%
127.84 1
1.9%
130.11 1
1.9%
137.3 1
1.9%
144.81 1
1.9%
166.56 1
1.9%
174.64 1
1.9%
ValueCountFrequency (%)
4647.26 1
1.9%
4609.0 1
1.9%
3745.88 1
1.9%
3036.55 1
1.9%
2870.61 1
1.9%
2447.11 1
1.9%
1882.23 1
1.9%
1848.14 1
1.9%
1813.0 1
1.9%
1698.03 1
1.9%

Interactions

2023-12-12T21:11:55.988765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:11:58.305438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명세부위치소재지도로명주소석면건축자재면적(제곱미터)
건물명1.0001.0000.9990.972
세부위치1.0001.0001.0001.000
소재지도로명주소0.9991.0001.0000.887
석면건축자재면적(제곱미터)0.9721.0000.8871.000

Missing values

2023-12-12T21:11:56.085000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:11:56.186053image/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

건물명세부위치소재지도로명주소석면건축자재면적(제곱미터)
0한국동서발전 울산화력종합창고2울산광역시 남구 용잠로 623 (남화동)130.11
1한국동서발전 울산화력종합창고1울산광역시 남구 용잠로 623 (남화동)222.46
2한국동서발전 울산화력정비실울산광역시 남구 용잠로 623 (남화동)337.44
3한국동서발전 울산화력종합사무실울산광역시 남구 용잠로 623 (남화동)174.64
4한국동서발전 울산화력제2복합발전소울산광역시 남구 용잠로 623 (남화동)847.68
5울산축산농협 본점울산축산농협 본점울산광역시 남구 월평로 22 (신정동)105.3
6울산남부신용협동조합울산남부신협울산광역시 남구 수암로 235 (야음동)510.21
7우리새마을금고우리새마을금고울산광역시 남구 수암로 56 (신정동)430.03
8한국해운조합울산지부한국해운조합울산광역시 남구 장생포고래로 187-1 (장생포동)642.84
9한국전력공사 영남화력변전소 154kV 옥외한국전력공사 영남화력변전소 154KV울산광역시 남구 장생포로 373 (매암동)166.56
건물명세부위치소재지도로명주소석면건축자재면적(제곱미터)
44용연하수처리장용수공급동울산광역시 남구 용연로 360 (황성동)124.01
45용연하수처리장송풍기동울산광역시 남구 용연로 360 (황성동)144.81
46강남교육지원청강남교육지원청울산광역시 남구 월평로 87 (신정동)871.14
47농수산물도매시장청과물도매시장울산광역시 남구 삼산로 324 (삼산동)1224.14
48농수산물도매시장수산물도매시장울산광역시 남구 삼산로 324 (삼산동)987.76
49남구문화원남구문화원울산광역시 남구 번영로 224 (달동)796.63
50교통안전공단울산자동차검사소자동차검사소 A동울산광역시 남구 장생포로 8 (여천동)80.0
51서울산새마을금고 삼호지점서울산새마을금고(삼호지점)울산광역시 남구 어은로 9-1 (무거동)235.01
52강남새마을금고강남(신정동)새마을금고울산광역시 남구 팔등로 61 (신정동)337.59
53울산광역시 폐기물 소각시설공장동울산광역시 남구 처용로 524 (성암동)4609.0