Overview

Dataset statistics

Number of variables4
Number of observations357
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description창원시 특정토양오염대상시설 현황로서 주유소, 산업시설, 기타시설, 유독물 등 특정토양오염관리대상시설의 현화을 나타냅니다
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013390

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:39:58.257579
Analysis finished2023-12-10 22:39:58.704512
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.0056
Minimum-1
Maximum357
Zeros1
Zeros (%)0.3%
Negative1
Negative (%)0.3%
Memory size3.3 KiB
2023-12-11T07:39:58.761520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile16.8
Q188
median177
Q3266
95-th percentile337.2
Maximum357
Range358
Interquartile range (IQR)178

Descriptive statistics

Standard deviation103.211
Coefficient of variation (CV)0.58309456
Kurtosis-1.1995342
Mean177.0056
Median Absolute Deviation (MAD)89
Skewness0.00033018355
Sum63191
Variance10652.511
MonotonicityStrictly increasing
2023-12-11T07:39:58.870070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 1
 
0.3%
223 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
Other values (347) 347
97.2%
ValueCountFrequency (%)
-1 1
0.3%
0 1
0.3%
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
ValueCountFrequency (%)
357 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%

구분
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
주유소
209 
산업시설
92 
기타
52 
유독물
 
4

Length

Max length4
Median length3
Mean length3.1120448
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주유소
2nd row주유소
3rd row주유소
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 209
58.5%
산업시설 92
25.8%
기타 52
 
14.6%
유독물 4
 
1.1%

Length

2023-12-11T07:39:58.979789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:39:59.070747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 209
58.5%
산업시설 92
25.8%
기타 52
 
14.6%
유독물 4
 
1.1%

업 소 명
Text

Distinct353
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T07:39:59.273186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length8.4677871
Min length3

Characters and Unicode

Total characters3023
Distinct characters315
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)97.8%

Sample

1st rowSK에너지(주)도계주유소
2nd row현대주유소
3rd row일동주유소
4th row남광석유판매(주) 직영 유남주유소
5th row주남주유소
ValueCountFrequency (%)
주식회사 4
 
1.0%
유한책임회사 3
 
0.7%
㈜경상석유 2
 
0.5%
셰플러코리아 2
 
0.5%
현대오일뱅크㈜직영 2
 
0.5%
해군진해기지사령부 2
 
0.5%
특수전전단 2
 
0.5%
한국전력공사 2
 
0.5%
주)동백에너비스 2
 
0.5%
태광주유소 2
 
0.5%
Other values (390) 395
94.5%
2023-12-11T07:39:59.604000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 249
 
8.2%
유 220
 
7.3%
소 187
 
6.2%
㈜ 93
 
3.1%
) 80
 
2.6%
( 80
 
2.6%
61
 
2.0%
대 56
 
1.9%
동 51
 
1.7%
지 48
 
1.6%
Other values (305) 1898
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2589
85.6%
Other Symbol 93
 
3.1%
Close Punctuation 80
 
2.6%
Open Punctuation 80
 
2.6%
Space Separator 61
 
2.0%
Decimal Number 54
 
1.8%
Uppercase Letter 50
 
1.7%
Other Punctuation 7
 
0.2%
Lowercase Letter 5
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 249
 
9.6%
유 220
 
8.5%
소 187
 
7.2%
대 56
 
2.2%
동 51
 
2.0%
지 48
 
1.9%
원 47
 
1.8%
스 39
 
1.5%
산 39
 
1.5%
사 39
 
1.5%
Other values (271) 1614
62.3%
Uppercase Letter
ValueCountFrequency (%)
S 16
32.0%
K 7
14.0%
T 6
 
12.0%
X 5
 
10.0%
I 4
 
8.0%
C 4
 
8.0%
D 2
 
4.0%
G 2
 
4.0%
H 2
 
4.0%
E 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 15
27.8%
1 10
18.5%
3 7
13.0%
8 6
 
11.1%
5 4
 
7.4%
0 4
 
7.4%
9 4
 
7.4%
7 3
 
5.6%
6 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
k 1
20.0%
j 1
20.0%
x 1
20.0%
s 1
20.0%
Other Punctuation
ValueCountFrequency (%)
: 4
57.1%
. 1
 
14.3%
& 1
 
14.3%
, 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2682
88.7%
Common 286
 
9.5%
Latin 55
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 249
 
9.3%
유 220
 
8.2%
소 187
 
7.0%
㈜ 93
 
3.5%
대 56
 
2.1%
동 51
 
1.9%
지 48
 
1.8%
원 47
 
1.8%
스 39
 
1.5%
산 39
 
1.5%
Other values (272) 1653
61.6%
Common
ValueCountFrequency (%)
) 80
28.0%
( 80
28.0%
61
21.3%
2 15
 
5.2%
1 10
 
3.5%
3 7
 
2.4%
8 6
 
2.1%
5 4
 
1.4%
- 4
 
1.4%
: 4
 
1.4%
Other values (7) 15
 
5.2%
Latin
ValueCountFrequency (%)
S 16
29.1%
K 7
12.7%
T 6
 
10.9%
X 5
 
9.1%
I 4
 
7.3%
C 4
 
7.3%
D 2
 
3.6%
G 2
 
3.6%
H 2
 
3.6%
t 1
 
1.8%
Other values (6) 6
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2589
85.6%
ASCII 341
 
11.3%
None 93
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 249
 
9.6%
유 220
 
8.5%
소 187
 
7.2%
대 56
 
2.2%
동 51
 
2.0%
지 48
 
1.9%
원 47
 
1.8%
스 39
 
1.5%
산 39
 
1.5%
사 39
 
1.5%
Other values (271) 1614
62.3%
None
ValueCountFrequency (%)
㈜ 93
100.0%
ASCII
ValueCountFrequency (%)
) 80
23.5%
( 80
23.5%
61
17.9%
S 16
 
4.7%
2 15
 
4.4%
1 10
 
2.9%
3 7
 
2.1%
K 7
 
2.1%
T 6
 
1.8%
8 6
 
1.8%
Other values (23) 53
15.5%

도로명 주소
Text

Distinct352
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T07:39:59.785749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length21.011204
Min length12

Characters and Unicode

Total characters7501
Distinct characters168
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)97.2%

Sample

1st row창원시 의창구 도계로4번길 50(도계동)
2nd row창원시 의창구 의안로 1(중동)
3rd row창원시 의창구 대산면 대산북로 539
4th row창원시 의창구 창원대로 314(팔용동)
5th row창원시 의창구 동읍 동읍로 733
ValueCountFrequency (%)
창원시 355
21.9%
성산구 95
 
5.9%
의창구 72
 
4.4%
마산회원구 65
 
4.0%
마산합포구 65
 
4.0%
진해구 58
 
3.6%
공단로 22
 
1.4%
내서읍 19
 
1.2%
진북면 14
 
0.9%
사서함 14
 
0.9%
Other values (545) 839
51.9%
2023-12-11T07:40:00.097355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1293
 
17.2%
원 455
 
6.1%
창 449
 
6.0%
구 371
 
4.9%
시 355
 
4.7%
로 314
 
4.2%
산 280
 
3.7%
동 257
 
3.4%
1 225
 
3.0%
( 192
 
2.6%
Other values (158) 3310
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4566
60.9%
Space Separator 1293
 
17.2%
Decimal Number 1190
 
15.9%
Open Punctuation 192
 
2.6%
Close Punctuation 192
 
2.6%
Dash Punctuation 46
 
0.6%
Other Punctuation 21
 
0.3%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 455
 
10.0%
창 449
 
9.8%
구 371
 
8.1%
시 355
 
7.8%
로 314
 
6.9%
산 280
 
6.1%
동 257
 
5.6%
마 141
 
3.1%
성 133
 
2.9%
진 112
 
2.5%
Other values (140) 1699
37.2%
Decimal Number
ValueCountFrequency (%)
1 225
18.9%
2 167
14.0%
3 136
11.4%
5 117
9.8%
4 108
9.1%
0 101
8.5%
8 95
8.0%
7 84
 
7.1%
6 83
 
7.0%
9 74
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 11
52.4%
. 7
33.3%
· 3
 
14.3%
Space Separator
ValueCountFrequency (%)
1293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4566
60.9%
Common 2935
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 455
 
10.0%
창 449
 
9.8%
구 371
 
8.1%
시 355
 
7.8%
로 314
 
6.9%
산 280
 
6.1%
동 257
 
5.6%
마 141
 
3.1%
성 133
 
2.9%
진 112
 
2.5%
Other values (140) 1699
37.2%
Common
ValueCountFrequency (%)
1293
44.1%
1 225
 
7.7%
( 192
 
6.5%
) 192
 
6.5%
2 167
 
5.7%
3 136
 
4.6%
5 117
 
4.0%
4 108
 
3.7%
0 101
 
3.4%
8 95
 
3.2%
Other values (8) 309
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4566
60.9%
ASCII 2932
39.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1293
44.1%
1 225
 
7.7%
( 192
 
6.5%
) 192
 
6.5%
2 167
 
5.7%
3 136
 
4.6%
5 117
 
4.0%
4 108
 
3.7%
0 101
 
3.4%
8 95
 
3.2%
Other values (7) 306
 
10.4%
Hangul
ValueCountFrequency (%)
원 455
 
10.0%
창 449
 
9.8%
구 371
 
8.1%
시 355
 
7.8%
로 314
 
6.9%
산 280
 
6.1%
동 257
 
5.6%
마 141
 
3.1%
성 133
 
2.9%
진 112
 
2.5%
Other values (140) 1699
37.2%
None
ValueCountFrequency (%)
· 3
100.0%

Interactions

2023-12-11T07:39:58.526135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:40:00.168742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.554
구분0.5541.000
2023-12-11T07:40:00.231311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.362
구분0.3621.000

Missing values

2023-12-11T07:39:58.616759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:39:58.678677image/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

연번구분업 소 명도로명 주소
0-1주유소SK에너지(주)도계주유소창원시 의창구 도계로4번길 50(도계동)
10주유소현대주유소창원시 의창구 의안로 1(중동)
21주유소일동주유소창원시 의창구 대산면 대산북로 539
32주유소남광석유판매(주) 직영 유남주유소창원시 의창구 창원대로 314(팔용동)
43주유소주남주유소창원시 의창구 동읍 동읍로 733
54주유소소계주유소창원시 의창구 소계로 73(소계동)
65산업시설㈜제이테크창원시 의창구 팔용로345번길 22(팔용동)
76주유소동면주유소창원시 의창구 동읍 동읍로 347
87주유소명당주유소창원시 의창구 천주로 754
98주유소신우에너지㈜창원시 의창구 대산면 진산대로 296
연번구분업 소 명도로명 주소
347346산업시설(주)오리엔탈마린텍창원시 진해구 명제로 164 (명동)
348347기타해군교육사령부(야전교육훈련대)창원시 진해구 마천로78번길 127 (마천동)
349348산업시설산양알앤에이(주)창원시 진해구 용원북로 19 (용원동)
350349기타제8전투훈련전단창원시 진해구 중원로 1, 사서함 605-13호 (남빈동)
351350주유소통일석유창원시 진해구 천자로353번길 17 (풍호동)
352351기타특수전전단 해난구조대창원시 진해구 충장로 1, 사서함 602-12-22 (도천동)
353352주유소조만포석유창원시 진해구 남양동 205
354353기타교육사 시설운전학부창원시 진해구 경화로12번길 18 (경화동,사서함)
355354기타진해기지사령부 항만방어전대창원시 진해구 현동 사서함 602-13-13
356357기타해군제620기지대대창원시 진해구 덕산동 사서함 28호