Overview

Dataset statistics

Number of variables3
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory24.9 B

Variable types

Text2
DateTime1

Dataset

Description진주시 관내 특정토양오염관리대상시설 현황(업소명, 도로명주소, 위험물안전관리법 완공검사일)을 제공합니다.
Author경상남도 진주시
URLhttps://www.data.go.kr/data/15046106/fileData.do

Alerts

도로명 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:06:32.791200
Analysis finished2023-12-16 15:06:34.350050
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-16T15:06:35.024882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length6.7241379
Min length3

Characters and Unicode

Total characters975
Distinct characters196
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)95.9%

Sample

1st row공군교육사령부
2nd row금산농민주유소
3rd rowGMS원당산업㈜
4th row가호주유소
5th row강남주유소
ValueCountFrequency (%)
한아름주유소 2
 
1.2%
대양주유소 2
 
1.2%
금호주유소 2
 
1.2%
진주지점 2
 
1.2%
㈜경남석유 2
 
1.2%
진주공장 1
 
0.6%
㈜서경 1
 
0.6%
정암산업㈜ 1
 
0.6%
진주동부지점 1
 
0.6%
공군교육사령부 1
 
0.6%
Other values (147) 147
90.7%
2023-12-16T15:06:36.731374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
12.7%
109
 
11.2%
105
 
10.8%
33
 
3.4%
32
 
3.3%
17
 
1.7%
17
 
1.7%
15
 
1.5%
15
 
1.5%
15
 
1.5%
Other values (186) 493
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
92.4%
Other Symbol 33
 
3.4%
Space Separator 17
 
1.7%
Decimal Number 9
 
0.9%
Uppercase Letter 7
 
0.7%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
124
 
13.8%
109
 
12.1%
105
 
11.7%
32
 
3.6%
17
 
1.9%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
14
 
1.6%
Other values (169) 441
48.9%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
2 2
22.2%
6 1
11.1%
9 1
11.1%
8 1
11.1%
3 1
11.1%
1 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
I 1
14.3%
K 1
14.3%
M 1
14.3%
G 1
14.3%
C 1
14.3%
Other Symbol
ValueCountFrequency (%)
33
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 934
95.8%
Common 34
 
3.5%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
124
 
13.3%
109
 
11.7%
105
 
11.2%
33
 
3.5%
32
 
3.4%
17
 
1.8%
15
 
1.6%
15
 
1.6%
15
 
1.6%
14
 
1.5%
Other values (170) 455
48.7%
Common
ValueCountFrequency (%)
17
50.0%
( 4
 
11.8%
) 4
 
11.8%
0 2
 
5.9%
2 2
 
5.9%
6 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%
3 1
 
2.9%
1 1
 
2.9%
Latin
ValueCountFrequency (%)
S 2
28.6%
I 1
14.3%
K 1
14.3%
M 1
14.3%
G 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 901
92.4%
ASCII 41
 
4.2%
None 33
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
124
 
13.8%
109
 
12.1%
105
 
11.7%
32
 
3.6%
17
 
1.9%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
14
 
1.6%
Other values (169) 441
48.9%
None
ValueCountFrequency (%)
33
100.0%
ASCII
ValueCountFrequency (%)
17
41.5%
( 4
 
9.8%
) 4
 
9.8%
0 2
 
4.9%
S 2
 
4.9%
2 2
 
4.9%
I 1
 
2.4%
6 1
 
2.4%
K 1
 
2.4%
M 1
 
2.4%
Other values (6) 6
 
14.6%

도로명 주소
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-16T15:06:37.681912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length22.096552
Min length16

Characters and Unicode

Total characters3204
Distinct characters112
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

Unique145 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 금산면 송백로 46 사서함 306-23호
2nd row경상남도 진주시 금산면 월아산로 1900
3rd row경상남도 진주시 남강로 718 (옥봉동)
4th row경상남도 진주시 가호로 64(호탄동)
5th row경상남도 진주시 진주대로 907(강남동)
ValueCountFrequency (%)
경상남도 145
20.5%
진주시 145
20.5%
진주대로 20
 
2.8%
월아산로 13
 
1.8%
남강로 13
 
1.8%
문산읍 10
 
1.4%
상평동 10
 
1.4%
동부로 9
 
1.3%
진산로 9
 
1.3%
대신로 8
 
1.1%
Other values (223) 327
46.1%
2023-12-16T15:06:38.988578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
567
17.7%
198
 
6.2%
168
 
5.2%
167
 
5.2%
165
 
5.1%
151
 
4.7%
149
 
4.7%
145
 
4.5%
141
 
4.4%
1 118
 
3.7%
Other values (102) 1235
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1969
61.5%
Space Separator 567
 
17.7%
Decimal Number 495
 
15.4%
Open Punctuation 83
 
2.6%
Close Punctuation 83
 
2.6%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
198
 
10.1%
168
 
8.5%
167
 
8.5%
165
 
8.4%
151
 
7.7%
149
 
7.6%
145
 
7.4%
141
 
7.2%
102
 
5.2%
52
 
2.6%
Other values (88) 531
27.0%
Decimal Number
ValueCountFrequency (%)
1 118
23.8%
2 58
11.7%
4 56
11.3%
3 50
10.1%
5 44
 
8.9%
6 40
 
8.1%
8 35
 
7.1%
0 34
 
6.9%
9 33
 
6.7%
7 27
 
5.5%
Space Separator
ValueCountFrequency (%)
567
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1969
61.5%
Common 1235
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
198
 
10.1%
168
 
8.5%
167
 
8.5%
165
 
8.4%
151
 
7.7%
149
 
7.6%
145
 
7.4%
141
 
7.2%
102
 
5.2%
52
 
2.6%
Other values (88) 531
27.0%
Common
ValueCountFrequency (%)
567
45.9%
1 118
 
9.6%
( 83
 
6.7%
) 83
 
6.7%
2 58
 
4.7%
4 56
 
4.5%
3 50
 
4.0%
5 44
 
3.6%
6 40
 
3.2%
8 35
 
2.8%
Other values (4) 101
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1969
61.5%
ASCII 1235
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
567
45.9%
1 118
 
9.6%
( 83
 
6.7%
) 83
 
6.7%
2 58
 
4.7%
4 56
 
4.5%
3 50
 
4.0%
5 44
 
3.6%
6 40
 
3.2%
8 35
 
2.8%
Other values (4) 101
 
8.2%
Hangul
ValueCountFrequency (%)
198
 
10.1%
168
 
8.5%
167
 
8.5%
165
 
8.4%
151
 
7.7%
149
 
7.6%
145
 
7.4%
141
 
7.2%
102
 
5.2%
52
 
2.6%
Other values (88) 531
27.0%
Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1973-01-20 00:00:00
Maximum2020-09-29 00:00:00
2023-12-16T15:06:39.559645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:06:40.249035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-16T15:06:33.445339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:06:34.148217image/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

업소명도로명 주소위험물안전관리법완공검사일
0공군교육사령부경상남도 진주시 금산면 송백로 46 사서함 306-23호1990-11-30
1금산농민주유소경상남도 진주시 금산면 월아산로 19002004-08-19
2GMS원당산업㈜경상남도 진주시 남강로 718 (옥봉동)1988-12-08
3가호주유소경상남도 진주시 가호로 64(호탄동)2003-05-28
4강남주유소경상남도 진주시 진주대로 907(강남동)1995-11-16
5강변주유소경상남도 진주시 남강로 1119(상평동)1996-11-22
6강진주유소경상남도 진주시 집현면 진산로 5151995-07-24
7개양주유소경상남도 진주시 진주대로 414 (가좌동)1995-02-21
8건일석유경상남도 진주시 진양호로51번길 11 (판문동)1999-12-22
9경남낙협경상남도 진주시 진주성로35번길 101991-04-26
업소명도로명 주소위험물안전관리법완공검사일
135한아름주유소경상남도 진주시 진주대로 1214 (봉곡동)1998-03-09
136한아름주유소경상남도 진주시 금곡면 월아산로 4131999-03-25
137한일병원경상남도 진주시 대신로 120 (상평동)1993-03-28
138행복주유소경상남도 진주시 문산읍 진마대로 10562008-01-14
139현대오일뱅크㈜직영 진주셀프주유소경상남도 진주시 진양호로 230 (평거동)1998-04-02
140현대주유소경상남도 진주시 대신로 431 (초전동)1994-10-07
141현대환경자가주유소경상남도 진주시 문산읍 문산로 9442007-02-13
142홍정왕주유소경상남도 진주시 금곡면 월아산로 6201996-08-14
143황금주유소경상남도 진주시 대곡면 진의로 1052-12013-10-17
144세기상사㈜ 서진주IC주유소경상남도 진주시 진주대로 1314 (유곡동)1995-01-04