Overview

Dataset statistics

Number of variables4
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.8 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description경상남도 통영시 관내 특정토양오염관리대상시설에 대하여 상호명, 소재지지번주소, 완공일자 정보를 제공하고 있습니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013380

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:13:12.654018
Analysis finished2023-12-11 00:13:13.542749
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-11T09:13:13.609171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-11T09:13:13.765745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

상호명
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:13:14.065563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.3055556
Min length4

Characters and Unicode

Total characters598
Distinct characters160
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row통영실내수영장
2nd row산양주유소
3rd row한산석유
4th row성림주유소
5th row호반주유소
ValueCountFrequency (%)
멸치권현망수산업협동조합 2
 
2.4%
에이치디현대오일뱅크㈜직영 2
 
2.4%
sls조선(주 2
 
2.4%
통영ic주유소 1
 
1.2%
나폴리주유소 1
 
1.2%
백산주유소 1
 
1.2%
통영실내수영장 1
 
1.2%
지에스칼텍스㈜이마트통영점주유소 1
 
1.2%
케이블카주유소 1
 
1.2%
도남관광주유소 1
 
1.2%
Other values (69) 69
84.1%
2023-12-11T09:13:14.554917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 44
 
7.4%
주 44
 
7.4%
유 42
 
7.0%
영 22
 
3.7%
통 16
 
2.7%
) 14
 
2.3%
산 14
 
2.3%
( 14
 
2.3%
수 13
 
2.2%
동 12
 
2.0%
Other values (150) 363
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
90.8%
Close Punctuation 14
 
2.3%
Open Punctuation 14
 
2.3%
Space Separator 10
 
1.7%
Uppercase Letter 8
 
1.3%
Decimal Number 4
 
0.7%
Other Symbol 3
 
0.5%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 44
 
8.1%
주 44
 
8.1%
유 42
 
7.7%
영 22
 
4.1%
통 16
 
2.9%
산 14
 
2.6%
수 13
 
2.4%
동 12
 
2.2%
조 12
 
2.2%
업 11
 
2.0%
Other values (139) 313
57.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
62.5%
L 2
 
25.0%
K 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
91.3%
Common 42
 
7.0%
Latin 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 44
 
8.1%
주 44
 
8.1%
유 42
 
7.7%
영 22
 
4.0%
통 16
 
2.9%
산 14
 
2.6%
수 13
 
2.4%
동 12
 
2.2%
조 12
 
2.2%
업 11
 
2.0%
Other values (140) 316
57.9%
Common
ValueCountFrequency (%)
) 14
33.3%
( 14
33.3%
10
23.8%
2 2
 
4.8%
3 2
 
4.8%
Latin
ValueCountFrequency (%)
S 5
50.0%
L 2
 
20.0%
c 1
 
10.0%
i 1
 
10.0%
K 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
90.8%
ASCII 52
 
8.7%
None 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 44
 
8.1%
주 44
 
8.1%
유 42
 
7.7%
영 22
 
4.1%
통 16
 
2.9%
산 14
 
2.6%
수 13
 
2.4%
동 12
 
2.2%
조 12
 
2.2%
업 11
 
2.0%
Other values (139) 313
57.6%
ASCII
ValueCountFrequency (%)
) 14
26.9%
( 14
26.9%
10
19.2%
S 5
 
9.6%
2 2
 
3.8%
3 2
 
3.8%
L 2
 
3.8%
c 1
 
1.9%
i 1
 
1.9%
K 1
 
1.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지지번주소
Text

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:13:14.919762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length22.888889
Min length15

Characters and Unicode

Total characters1648
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

Sample

1st row경상남도 통영시 동호동 230-1
2nd row경상남도 통영시 산양읍 남평리 1359-3 산양주유소
3rd row경상남도 통영시 한산면 하소리 25-2
4th row경상남도 통영시 도산면 원산리 1186-6
5th row경상남도 통영시 광도면 노산리 665
ValueCountFrequency (%)
통영시 72
19.7%
경상남도 71
19.4%
광도면 16
 
4.4%
용남면 14
 
3.8%
도산면 7
 
1.9%
외 6
 
1.6%
동항리 5
 
1.4%
노산리 5
 
1.4%
욕지면 5
 
1.4%
도남동 4
 
1.1%
Other values (122) 161
44.0%
2023-12-11T09:13:15.441565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
22.0%
도 103
 
6.2%
남 90
 
5.5%
통 73
 
4.4%
영 73
 
4.4%
경 72
 
4.4%
시 72
 
4.4%
상 71
 
4.3%
1 64
 
3.9%
리 48
 
2.9%
Other values (85) 619
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
56.9%
Space Separator 363
 
22.0%
Decimal Number 296
 
18.0%
Dash Punctuation 46
 
2.8%
Other Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 103
11.0%
남 90
 
9.6%
통 73
 
7.8%
영 73
 
7.8%
경 72
 
7.7%
시 72
 
7.7%
상 71
 
7.6%
리 48
 
5.1%
면 47
 
5.0%
동 33
 
3.5%
Other values (71) 255
27.2%
Decimal Number
ValueCountFrequency (%)
1 64
21.6%
3 43
14.5%
2 32
10.8%
5 30
10.1%
9 29
9.8%
8 24
 
8.1%
4 23
 
7.8%
6 22
 
7.4%
0 16
 
5.4%
7 13
 
4.4%
Space Separator
ValueCountFrequency (%)
363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
56.9%
Common 709
43.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 103
11.0%
남 90
 
9.6%
통 73
 
7.8%
영 73
 
7.8%
경 72
 
7.7%
시 72
 
7.7%
상 71
 
7.6%
리 48
 
5.1%
면 47
 
5.0%
동 33
 
3.5%
Other values (71) 255
27.2%
Common
ValueCountFrequency (%)
363
51.2%
1 64
 
9.0%
- 46
 
6.5%
3 43
 
6.1%
2 32
 
4.5%
5 30
 
4.2%
9 29
 
4.1%
8 24
 
3.4%
4 23
 
3.2%
6 22
 
3.1%
Other values (3) 33
 
4.7%
Latin
ValueCountFrequency (%)
J 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
56.9%
ASCII 711
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
51.1%
1 64
 
9.0%
- 46
 
6.5%
3 43
 
6.0%
2 32
 
4.5%
5 30
 
4.2%
9 29
 
4.1%
8 24
 
3.4%
4 23
 
3.2%
6 22
 
3.1%
Other values (4) 35
 
4.9%
Hangul
ValueCountFrequency (%)
도 103
11.0%
남 90
 
9.6%
통 73
 
7.8%
영 73
 
7.8%
경 72
 
7.7%
시 72
 
7.7%
상 71
 
7.6%
리 48
 
5.1%
면 47
 
5.0%
동 33
 
3.5%
Other values (71) 255
27.2%

완공일자
Date

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum1971-08-11 00:00:00
Maximum2023-02-06 00:00:00
2023-12-11T09:13:15.636461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:13:15.815866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T09:13:13.301965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:13:15.926163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지지번주소완공일자
연번1.0000.9781.0000.981
상호명0.9781.0001.0000.994
소재지지번주소1.0001.0001.0000.995
완공일자0.9810.9940.9951.000

Missing values

2023-12-11T09:13:13.438398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:13:13.512878image/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

연번상호명소재지지번주소완공일자
01통영실내수영장경상남도 통영시 동호동 230-11996-04-06
12산양주유소경상남도 통영시 산양읍 남평리 1359-3 산양주유소2021-10-29
23한산석유경상남도 통영시 한산면 하소리 25-21995-06-30
34성림주유소경상남도 통영시 도산면 원산리 1186-61992-11-20
45호반주유소경상남도 통영시 광도면 노산리 6651995-12-28
56미수주유소경상남도 통영시 미수동 789-12011-09-06
67대영주유소경상남도 통영시 도천동 114-82017-12-21
78참편한주유소경상남도 통영시 도산면 관덕리 6802009-08-28
89학섬주유소경상남도 통영시 도산면 도선리 374-51993-02-20
910구도일주유소해동경상남도 통영시 무전동 989-72013-08-13
연번상호명소재지지번주소완공일자
6263에이치에스지성동조선 주식회사경상남도 통영시 광도면 공단로 9402013-04-18
6364호반저장소경상남도 통영시 광도면 노산리 9032013-05-22
6465(주)동성화인텍경상남도 통영시 광도면 황리 15932008-01-14
6566해군3함대 232전진기지대경상남도 통영시 욕지면 동항리 4152014-07-17
6667조암마을 소형어선 유류보관시설경상남도 통영시 광도면 죽림리 1564-22017-07-10
6768소매물도발전소경상남도 통영시 한산면 매죽리 산 64-52018-03-16
6869경신저장소경상남도 통영시 용남면 동달리 11942018-11-29
6970통영ic주유소경상남도 통영시 도천동 8532019-01-11
7071통영해양경찰서 옥외저장소경상남도 통영시 동호동 300-13 통영해양경찰서 신전용부두2020-05-20
7172굴수하식수산업협동조합통영시 용남면 견내량로 222023-02-06