Overview

Dataset statistics

Number of variables21
Number of observations411
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.2 KiB
Average record size in memory177.3 B

Variable types

Text4
Categorical9
DateTime1
Numeric7

Dataset

Description제주특별자치도 서귀포시 관내 저수지.양수지(관정)의 허가일, 상호, 주소, 수원지, 사업장명 등 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/3082948/fileData.do

Alerts

법인(성명) has constant value ""Constant
용도 has constant value ""Constant
음용여부 has constant value ""Constant
수원 has constant value ""Constant
데이터기준일 has constant value ""Constant
토출관구경(세제곱미터) is highly imbalanced (57.7%)Imbalance
허가번호 has unique valuesUnique
상호 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:54:16.328198
Analysis finished2024-04-21 02:54:16.895473
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T11:54:17.060888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4110
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)100.0%

Sample

1st rowY199341100
2nd rowY199341097
3rd rowY199341093
4th rowY199341066
5th rowY199341103
ValueCountFrequency (%)
y199341100 1
 
0.2%
d200040039 1
 
0.2%
w200140128 1
 
0.2%
w200120019 1
 
0.2%
w200120020 1
 
0.2%
d200040091 1
 
0.2%
d200040041 1
 
0.2%
d200040042 1
 
0.2%
w200040109 1
 
0.2%
d200040037 1
 
0.2%
Other values (401) 401
97.6%
2024-04-21T11:54:17.400735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 970
23.6%
9 684
16.6%
1 591
14.4%
2 431
10.5%
4 362
 
8.8%
3 221
 
5.4%
D 173
 
4.2%
5 133
 
3.2%
Y 123
 
3.0%
7 115
 
2.8%
Other values (3) 307
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3699
90.0%
Uppercase Letter 411
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 970
26.2%
9 684
18.5%
1 591
16.0%
2 431
11.7%
4 362
 
9.8%
3 221
 
6.0%
5 133
 
3.6%
7 115
 
3.1%
8 103
 
2.8%
6 89
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
D 173
42.1%
Y 123
29.9%
W 115
28.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3699
90.0%
Latin 411
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 970
26.2%
9 684
18.5%
1 591
16.0%
2 431
11.7%
4 362
 
9.8%
3 221
 
6.0%
5 133
 
3.6%
7 115
 
3.1%
8 103
 
2.8%
6 89
 
2.4%
Latin
ValueCountFrequency (%)
D 173
42.1%
Y 123
29.9%
W 115
28.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 970
23.6%
9 684
16.6%
1 591
14.4%
2 431
10.5%
4 362
 
8.8%
3 221
 
5.4%
D 173
 
4.2%
5 133
 
3.2%
Y 123
 
3.0%
7 115
 
2.8%
Other values (3) 307
 
7.5%

허가기간시작
Categorical

Distinct9
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2019-10-01
140 
2022-01-01
75 
2020-12-01
62 
2022-10-01
39 
2022-12-01
31 
Other values (4)
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2023-12-01
2nd row2019-10-01
3rd row2019-10-01
4th row2020-12-01
5th row2022-01-01

Common Values

ValueCountFrequency (%)
2019-10-01 140
34.1%
2022-01-01 75
18.2%
2020-12-01 62
15.1%
2022-10-01 39
 
9.5%
2022-12-01 31
 
7.5%
2023-10-01 29
 
7.1%
2023-12-01 19
 
4.6%
2019-12-01 15
 
3.6%
2020-07-28 1
 
0.2%

Length

2024-04-21T11:54:17.515249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:17.615718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-10-01 140
34.1%
2022-01-01 75
18.2%
2020-12-01 62
15.1%
2022-10-01 39
 
9.5%
2022-12-01 31
 
7.5%
2023-10-01 29
 
7.1%
2023-12-01 19
 
4.6%
2019-12-01 15
 
3.6%
2020-07-28 1
 
0.2%

허가기간종료
Categorical

Distinct9
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-09-30
140 
2026-12-31
75 
2025-11-30
62 
2027-09-30
39 
2027-11-30
31 
Other values (4)
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2028-11-30
2nd row2024-09-30
3rd row2024-09-30
4th row2025-11-30
5th row2026-12-31

Common Values

ValueCountFrequency (%)
2024-09-30 140
34.1%
2026-12-31 75
18.2%
2025-11-30 62
15.1%
2027-09-30 39
 
9.5%
2027-11-30 31
 
7.5%
2028-09-30 29
 
7.1%
2028-11-30 19
 
4.6%
2024-11-30 15
 
3.6%
2025-07-27 1
 
0.2%

Length

2024-04-21T11:54:17.724954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:17.820423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-09-30 140
34.1%
2026-12-31 75
18.2%
2025-11-30 62
15.1%
2027-09-30 39
 
9.5%
2027-11-30 31
 
7.5%
2028-09-30 29
 
7.1%
2028-11-30 19
 
4.6%
2024-11-30 15
 
3.6%
2025-07-27 1
 
0.2%

허가(신고)일
Date

Distinct108
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1993-08-25 00:00:00
Maximum2020-07-28 00:00:00
2024-04-21T11:54:17.940291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:54:18.062765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T11:54:18.377024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0145985
Min length4

Characters and Unicode

Total characters2061
Distinct characters21
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)100.0%

Sample

1st row90감산
2nd row90사계
3rd rowD-004
4th rowD-005
5th rowD-006
ValueCountFrequency (%)
90감산 1
 
0.2%
f-425 1
 
0.2%
f-459 1
 
0.2%
f-441 1
 
0.2%
f-440 1
 
0.2%
f-432 1
 
0.2%
f-431 1
 
0.2%
f-430 1
 
0.2%
f-429 1
 
0.2%
f-428 1
 
0.2%
Other values (401) 401
97.6%
2024-04-21T11:54:18.835759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 413
20.0%
F 280
13.6%
0 177
8.6%
2 153
 
7.4%
1 153
 
7.4%
3 138
 
6.7%
5 123
 
6.0%
4 117
 
5.7%
6 116
 
5.6%
D 99
 
4.8%
Other values (11) 292
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1235
59.9%
Dash Punctuation 413
 
20.0%
Uppercase Letter 409
 
19.8%
Other Letter 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
14.3%
2 153
12.4%
1 153
12.4%
3 138
11.2%
5 123
10.0%
4 117
9.5%
6 116
9.4%
9 92
7.4%
7 88
7.1%
8 78
6.3%
Uppercase Letter
ValueCountFrequency (%)
F 280
68.5%
D 99
 
24.2%
R 14
 
3.4%
S 7
 
1.7%
W 6
 
1.5%
U 3
 
0.7%
Other Letter
ValueCountFrequency (%)
산 1
25.0%
감 1
25.0%
사 1
25.0%
계 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1648
80.0%
Latin 409
 
19.8%
Hangul 4
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 413
25.1%
0 177
10.7%
2 153
 
9.3%
1 153
 
9.3%
3 138
 
8.4%
5 123
 
7.5%
4 117
 
7.1%
6 116
 
7.0%
9 92
 
5.6%
7 88
 
5.3%
Latin
ValueCountFrequency (%)
F 280
68.5%
D 99
 
24.2%
R 14
 
3.4%
S 7
 
1.7%
W 6
 
1.5%
U 3
 
0.7%
Hangul
ValueCountFrequency (%)
산 1
25.0%
감 1
25.0%
사 1
25.0%
계 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2057
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 413
20.1%
F 280
13.6%
0 177
8.6%
2 153
 
7.4%
1 153
 
7.4%
3 138
 
6.7%
5 123
 
6.0%
4 117
 
5.7%
6 116
 
5.6%
D 99
 
4.8%
Other values (7) 288
14.0%
Hangul
ValueCountFrequency (%)
산 1
25.0%
감 1
25.0%
사 1
25.0%
계 1
25.0%

사업장명
Text

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T11:54:19.126855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length5
Mean length5.0413625
Min length4

Characters and Unicode

Total characters2072
Distinct characters31
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

Unique411 ?
Unique (%)100.0%

Sample

1st row90감산
2nd row90사계
3rd rowD-004
4th rowD-005
5th rowD-006
ValueCountFrequency (%)
90감산 1
 
0.2%
f-465 1
 
0.2%
f-460 1
 
0.2%
f-459 1
 
0.2%
f-441 1
 
0.2%
f-440 1
 
0.2%
f-432 1
 
0.2%
f-431 1
 
0.2%
f-430 1
 
0.2%
f-429 1
 
0.2%
Other values (402) 402
97.6%
2024-04-21T11:54:19.496799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 413
19.9%
F 279
13.5%
0 177
8.5%
1 155
 
7.5%
2 155
 
7.5%
3 138
 
6.7%
5 123
 
5.9%
4 117
 
5.6%
6 114
 
5.5%
D 100
 
4.8%
Other values (21) 301
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1236
59.7%
Dash Punctuation 413
 
19.9%
Uppercase Letter 409
 
19.7%
Other Letter 11
 
0.5%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 1
9.1%
산 1
9.1%
신 1
9.1%
도 1
9.1%
지 1
9.1%
구 1
9.1%
대 1
9.1%
체 1
9.1%
공 1
9.1%
감 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 177
14.3%
1 155
12.5%
2 155
12.5%
3 138
11.2%
5 123
10.0%
4 117
9.5%
6 114
9.2%
9 91
7.4%
7 88
7.1%
8 78
6.3%
Uppercase Letter
ValueCountFrequency (%)
F 279
68.2%
D 100
 
24.4%
R 14
 
3.4%
S 7
 
1.7%
W 6
 
1.5%
U 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1652
79.7%
Latin 409
 
19.7%
Hangul 11
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 413
25.0%
0 177
10.7%
1 155
 
9.4%
2 155
 
9.4%
3 138
 
8.4%
5 123
 
7.4%
4 117
 
7.1%
6 114
 
6.9%
9 91
 
5.5%
7 88
 
5.3%
Other values (4) 81
 
4.9%
Hangul
ValueCountFrequency (%)
계 1
9.1%
산 1
9.1%
신 1
9.1%
도 1
9.1%
지 1
9.1%
구 1
9.1%
대 1
9.1%
체 1
9.1%
공 1
9.1%
감 1
9.1%
Latin
ValueCountFrequency (%)
F 279
68.2%
D 100
 
24.4%
R 14
 
3.4%
S 7
 
1.7%
W 6
 
1.5%
U 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2061
99.5%
Hangul 11
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 413
20.0%
F 279
13.5%
0 177
8.6%
1 155
 
7.5%
2 155
 
7.5%
3 138
 
6.7%
5 123
 
6.0%
4 117
 
5.7%
6 114
 
5.5%
D 100
 
4.9%
Other values (10) 290
14.1%
Hangul
ValueCountFrequency (%)
계 1
9.1%
산 1
9.1%
신 1
9.1%
도 1
9.1%
지 1
9.1%
구 1
9.1%
대 1
9.1%
체 1
9.1%
공 1
9.1%
감 1
9.1%

법인(성명)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
제주특별자치도 서귀포시(감귤농정과)
411 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주특별자치도 서귀포시(감귤농정과)
2nd row제주특별자치도 서귀포시(감귤농정과)
3rd row제주특별자치도 서귀포시(감귤농정과)
4th row제주특별자치도 서귀포시(감귤농정과)
5th row제주특별자치도 서귀포시(감귤농정과)

Common Values

ValueCountFrequency (%)
제주특별자치도 서귀포시(감귤농정과) 411
100.0%

Length

2024-04-21T11:54:19.618164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:19.702736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 411
50.0%
서귀포시(감귤농정과 411
50.0%

관정주소
Text

Distinct409
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T11:54:19.877504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.50365
Min length19

Characters and Unicode

Total characters10482
Distinct characters94
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

Unique408 ?
Unique (%)99.3%

Sample

1st row제주특별자치도 서귀포시 안덕면 상창리 1516-1
2nd row제주특별자치도 서귀포시 안덕면 사계리 3578-53
3rd row제주특별자치도 서귀포시 안덕면 덕수리 2102-4
4th row제주특별자치도 서귀포시 남원읍 의귀리 2004-1
5th row제주특별자치도 서귀포시 표선면 토산리 1141-1
ValueCountFrequency (%)
제주특별자치도 411
20.7%
서귀포시 410
20.7%
대정읍 125
 
6.3%
남원읍 78
 
3.9%
안덕면 46
 
2.3%
표선면 40
 
2.0%
무릉리 34
 
1.7%
성산읍 34
 
1.7%
신도리 22
 
1.1%
위미리 18
 
0.9%
Other values (474) 763
38.5%
2024-04-21T11:54:20.171088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1570
 
15.0%
도 439
 
4.2%
1 433
 
4.1%
서 421
 
4.0%
시 421
 
4.0%
귀 417
 
4.0%
포 414
 
3.9%
주 412
 
3.9%
제 412
 
3.9%
치 411
 
3.9%
Other values (84) 5132
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6730
64.2%
Decimal Number 1836
 
17.5%
Space Separator 1570
 
15.0%
Dash Punctuation 346
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 439
 
6.5%
서 421
 
6.3%
시 421
 
6.3%
귀 417
 
6.2%
포 414
 
6.2%
주 412
 
6.1%
제 412
 
6.1%
치 411
 
6.1%
별 411
 
6.1%
특 411
 
6.1%
Other values (72) 2561
38.1%
Decimal Number
ValueCountFrequency (%)
1 433
23.6%
2 254
13.8%
3 186
10.1%
4 178
9.7%
5 153
 
8.3%
6 141
 
7.7%
7 128
 
7.0%
8 126
 
6.9%
9 121
 
6.6%
0 116
 
6.3%
Space Separator
ValueCountFrequency (%)
1570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6730
64.2%
Common 3752
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 439
 
6.5%
서 421
 
6.3%
시 421
 
6.3%
귀 417
 
6.2%
포 414
 
6.2%
주 412
 
6.1%
제 412
 
6.1%
치 411
 
6.1%
별 411
 
6.1%
특 411
 
6.1%
Other values (72) 2561
38.1%
Common
ValueCountFrequency (%)
1570
41.8%
1 433
 
11.5%
- 346
 
9.2%
2 254
 
6.8%
3 186
 
5.0%
4 178
 
4.7%
5 153
 
4.1%
6 141
 
3.8%
7 128
 
3.4%
8 126
 
3.4%
Other values (2) 237
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6730
64.2%
ASCII 3752
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1570
41.8%
1 433
 
11.5%
- 346
 
9.2%
2 254
 
6.8%
3 186
 
5.0%
4 178
 
4.7%
5 153
 
4.1%
6 141
 
3.8%
7 128
 
3.4%
8 126
 
3.4%
Other values (2) 237
 
6.3%
Hangul
ValueCountFrequency (%)
도 439
 
6.5%
서 421
 
6.3%
시 421
 
6.3%
귀 417
 
6.2%
포 414
 
6.2%
주 412
 
6.1%
제 412
 
6.1%
치 411
 
6.1%
별 411
 
6.1%
특 411
 
6.1%
Other values (72) 2561
38.1%

용도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
농업
411 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농업 411
100.0%

Length

2024-04-21T11:54:20.278861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:20.360168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업 411
100.0%

음용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
비음용
411 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비음용 411
100.0%

Length

2024-04-21T11:54:20.449862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:20.533754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비음용 411
100.0%

수원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
지하수
411 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하수 411
100.0%

Length

2024-04-21T11:54:20.619959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:20.711819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수 411
100.0%

표고
Real number (ℝ)

Distinct282
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.25709
Minimum0
Maximum575
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:20.804997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.984
Q144
median78
Q3143.95
95-th percentile266.9
Maximum575
Range575
Interquartile range (IQR)99.95

Descriptive statistics

Standard deviation85.523958
Coefficient of variation (CV)0.8048777
Kurtosis4.7172822
Mean106.25709
Median Absolute Deviation (MAD)41.2
Skewness1.7940083
Sum43671.662
Variance7314.3474
MonotonicityNot monotonic
2024-04-21T11:54:20.937684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.0 6
 
1.5%
33.0 5
 
1.2%
65.0 5
 
1.2%
24.0 5
 
1.2%
26.0 5
 
1.2%
55.0 5
 
1.2%
58.0 4
 
1.0%
37.0 4
 
1.0%
44.0 4
 
1.0%
53.0 4
 
1.0%
Other values (272) 364
88.6%
ValueCountFrequency (%)
0.0 1
0.2%
7.0 1
0.2%
10.0 1
0.2%
12.0 1
0.2%
13.3 1
0.2%
13.8 1
0.2%
13.9 2
0.5%
14.0 2
0.5%
15.1 1
0.2%
16.0 1
0.2%
ValueCountFrequency (%)
575.0 1
0.2%
542.0 1
0.2%
465.0 1
0.2%
450.0 1
0.2%
416.0 1
0.2%
410.0 1
0.2%
327.0 1
0.2%
323.0 2
0.5%
322.0 1
0.2%
305.0 1
0.2%

굴착깊이(m)
Real number (ℝ)

Distinct122
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.82774
Minimum27.5
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:21.053552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.5
5-th percentile73
Q190
median115
Q3170
95-th percentile285
Maximum500
Range472.5
Interquartile range (IQR)80

Descriptive statistics

Standard deviation70.260048
Coefficient of variation (CV)0.50247575
Kurtosis3.9024322
Mean139.82774
Median Absolute Deviation (MAD)30
Skewness1.7354978
Sum57469.2
Variance4936.4743
MonotonicityNot monotonic
2024-04-21T11:54:21.169711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 40
 
9.7%
80.0 33
 
8.0%
90.0 24
 
5.8%
110.0 21
 
5.1%
140.0 18
 
4.4%
120.0 17
 
4.1%
130.0 11
 
2.7%
150.0 10
 
2.4%
220.0 10
 
2.4%
170.0 10
 
2.4%
Other values (112) 217
52.8%
ValueCountFrequency (%)
27.5 1
 
0.2%
35.5 1
 
0.2%
43.5 1
 
0.2%
47.5 1
 
0.2%
47.6 1
 
0.2%
50.0 2
0.5%
60.0 3
0.7%
61.0 2
0.5%
64.0 1
 
0.2%
65.0 1
 
0.2%
ValueCountFrequency (%)
500.0 1
0.2%
480.0 1
0.2%
420.0 1
0.2%
406.0 1
0.2%
400.0 1
0.2%
360.0 1
0.2%
350.0 1
0.2%
325.0 1
0.2%
320.0 2
0.5%
315.0 1
0.2%

케이싱구경(mm)
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
250
337 
200
74 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row250
2nd row250
3rd row250
4th row250
5th row250

Common Values

ValueCountFrequency (%)
250 337
82.0%
200 74
 
18.0%

Length

2024-04-21T11:54:21.276366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:21.361901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
250 337
82.0%
200 74
 
18.0%

토출관구경(세제곱미터)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
100
342 
80
68 
50
 
1

Length

Max length3
Median length3
Mean length2.8321168
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 342
83.2%
80 68
 
16.5%
50 1
 
0.2%

Length

2024-04-21T11:54:21.452337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:21.546988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 342
83.2%
80 68
 
16.5%
50 1
 
0.2%

취수허가량(세제곱미터_월)
Real number (ℝ)

Distinct150
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19959.964
Minimum600
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:21.649206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile5700
Q113500
median21000
Q324000
95-th percentile34500
Maximum60000
Range59400
Interquartile range (IQR)10500

Descriptive statistics

Standard deviation8929.5749
Coefficient of variation (CV)0.44737431
Kurtosis1.3047092
Mean19959.964
Median Absolute Deviation (MAD)6000
Skewness0.63726219
Sum8203545
Variance79737308
MonotonicityNot monotonic
2024-04-21T11:54:21.769720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24000 54
 
13.1%
21000 35
 
8.5%
18000 24
 
5.8%
27000 19
 
4.6%
15000 16
 
3.9%
5700 14
 
3.4%
17550 11
 
2.7%
30000 11
 
2.7%
34500 9
 
2.2%
28500 9
 
2.2%
Other values (140) 209
50.9%
ValueCountFrequency (%)
600 1
 
0.2%
2000 1
 
0.2%
3000 1
 
0.2%
3960 1
 
0.2%
4200 1
 
0.2%
4380 1
 
0.2%
4500 1
 
0.2%
5190 1
 
0.2%
5400 2
 
0.5%
5700 14
3.4%
ValueCountFrequency (%)
60000 1
 
0.2%
51000 1
 
0.2%
46500 3
0.7%
45150 1
 
0.2%
45000 3
0.7%
44000 1
 
0.2%
42000 2
0.5%
40500 1
 
0.2%
39000 2
0.5%
37500 1
 
0.2%

동력장치(HP)
Real number (ℝ)

Distinct11
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.22871
Minimum3
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:21.877820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q125
median30
Q340
95-th percentile50
Maximum60
Range57
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.874282
Coefficient of variation (CV)0.34821424
Kurtosis-0.086756541
Mean31.22871
Median Absolute Deviation (MAD)10
Skewness0.64616743
Sum12835
Variance118.25
MonotonicityNot monotonic
2024-04-21T11:54:21.969375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
30 143
34.8%
20 63
15.3%
25 59
14.4%
40 57
 
13.9%
50 50
 
12.2%
15 25
 
6.1%
60 9
 
2.2%
45 2
 
0.5%
3 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
3 1
 
0.2%
10 1
 
0.2%
12 1
 
0.2%
15 25
 
6.1%
20 63
15.3%
25 59
14.4%
30 143
34.8%
40 57
 
13.9%
45 2
 
0.5%
50 50
 
12.2%
ValueCountFrequency (%)
60 9
 
2.2%
50 50
 
12.2%
45 2
 
0.5%
40 57
 
13.9%
30 143
34.8%
25 59
14.4%
20 63
15.3%
15 25
 
6.1%
12 1
 
0.2%
10 1
 
0.2%

양수능력(세제곱미터_일)
Real number (ℝ)

Distinct32
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.19708
Minimum100
Maximum2100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:22.074219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile550
Q1700
median800
Q3900
95-th percentile1300
Maximum2100
Range2000
Interquartile range (IQR)200

Descriptive statistics

Standard deviation252.22785
Coefficient of variation (CV)0.30455052
Kurtosis5.3945668
Mean828.19708
Median Absolute Deviation (MAD)100
Skewness1.7785784
Sum340389
Variance63618.89
MonotonicityNot monotonic
2024-04-21T11:54:22.377389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
800 90
21.9%
700 75
18.2%
600 61
14.8%
900 34
 
8.3%
850 25
 
6.1%
1000 25
 
6.1%
500 16
 
3.9%
950 14
 
3.4%
1150 14
 
3.4%
1050 7
 
1.7%
Other values (22) 50
12.2%
ValueCountFrequency (%)
100 1
 
0.2%
300 1
 
0.2%
350 2
 
0.5%
500 16
 
3.9%
550 3
 
0.7%
600 61
14.8%
614 1
 
0.2%
650 2
 
0.5%
700 75
18.2%
720 1
 
0.2%
ValueCountFrequency (%)
2100 1
 
0.2%
2000 2
0.5%
1950 1
 
0.2%
1750 1
 
0.2%
1700 3
0.7%
1550 2
0.5%
1505 1
 
0.2%
1500 4
1.0%
1400 2
0.5%
1350 3
0.7%

위도
Real number (ℝ)

Distinct405
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.29343
Minimum33.212065
Maximum33.466311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:22.504612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.212065
5-th percentile33.236939
Q133.262094
median33.27971
Q333.310965
95-th percentile33.408507
Maximum33.466311
Range0.2542459
Interquartile range (IQR)0.04887158

Descriptive statistics

Standard deviation0.05065729
Coefficient of variation (CV)0.0015215402
Kurtosis1.9300776
Mean33.29343
Median Absolute Deviation (MAD)0.02185183
Skewness1.4245746
Sum13683.6
Variance0.0025661611
MonotonicityNot monotonic
2024-04-21T11:54:22.626899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.31484017 3
 
0.7%
33.24846336 3
 
0.7%
33.26513803 2
 
0.5%
33.27763063 2
 
0.5%
33.26302274 1
 
0.2%
33.22581162 1
 
0.2%
33.2830296 1
 
0.2%
33.26322259 1
 
0.2%
33.26170284 1
 
0.2%
33.29973925 1
 
0.2%
Other values (395) 395
96.1%
ValueCountFrequency (%)
33.21206504 1
0.2%
33.21435255 1
0.2%
33.21445322 1
0.2%
33.21593176 1
0.2%
33.2159862 1
0.2%
33.21600064 1
0.2%
33.21714191 1
0.2%
33.2183691 1
0.2%
33.22171988 1
0.2%
33.22362852 1
0.2%
ValueCountFrequency (%)
33.46631094 1
0.2%
33.46404993 1
0.2%
33.45968969 1
0.2%
33.45962295 1
0.2%
33.45734995 1
0.2%
33.45346878 1
0.2%
33.4527425 1
0.2%
33.45024909 1
0.2%
33.44777034 1
0.2%
33.44090917 1
0.2%

경도
Real number (ℝ)

Distinct405
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.49286
Minimum126.17846
Maximum126.91498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T11:54:22.762742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.17846
5-th percentile126.1967
Q1126.27318
median126.47065
Q3126.70221
95-th percentile126.84591
Maximum126.91498
Range0.7365155
Interquartile range (IQR)0.42903095

Descriptive statistics

Standard deviation0.22700208
Coefficient of variation (CV)0.0017945841
Kurtosis-1.4496756
Mean126.49286
Median Absolute Deviation (MAD)0.2052905
Skewness0.18289524
Sum51988.567
Variance0.051529944
MonotonicityNot monotonic
2024-04-21T11:54:22.883132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6327308 3
 
0.7%
126.3351738 3
 
0.7%
126.1927042 2
 
0.5%
126.2263318 2
 
0.5%
126.3568014 1
 
0.2%
126.294239 1
 
0.2%
126.6342355 1
 
0.2%
126.4664025 1
 
0.2%
126.4205829 1
 
0.2%
126.344218 1
 
0.2%
Other values (395) 395
96.1%
ValueCountFrequency (%)
126.1784604 1
0.2%
126.1788641 1
0.2%
126.1819766 1
0.2%
126.1833704 1
0.2%
126.1838467 1
0.2%
126.1867857 1
0.2%
126.1870243 1
0.2%
126.1874864 1
0.2%
126.1876583 1
0.2%
126.1897906 1
0.2%
ValueCountFrequency (%)
126.9149759 1
0.2%
126.886991 1
0.2%
126.886379 1
0.2%
126.877867 1
0.2%
126.8762394 1
0.2%
126.8750005 1
0.2%
126.8745628 1
0.2%
126.8730223 1
0.2%
126.8719837 1
0.2%
126.8713102 1
0.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-01
411 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-01
2nd row2024-04-01
3rd row2024-04-01
4th row2024-04-01
5th row2024-04-01

Common Values

ValueCountFrequency (%)
2024-04-01 411
100.0%

Length

2024-04-21T11:54:23.000293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:23.080863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-01 411
100.0%

Sample

허가번호허가기간시작허가기간종료허가(신고)일상호사업장명법인(성명)관정주소용도음용여부수원표고굴착깊이(m)케이싱구경(mm)토출관구경(세제곱미터)취수허가량(세제곱미터_월)동력장치(HP)양수능력(세제곱미터_일)위도경도데이터기준일
0Y1993411002023-12-012028-11-301993-08-2590감산90감산제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 안덕면 상창리 1516-1농업비음용지하수135.0160.0250100240003080033.263023126.3568012024-04-01
1Y1993410972019-10-012024-09-301993-08-2590사계90사계제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 안덕면 사계리 3578-53농업비음용지하수57.5100.02501003000040100033.246726126.3026532024-04-01
2Y1993410932019-10-012024-09-301993-08-25D-004D-004제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 안덕면 덕수리 2102-4농업비음용지하수79.6104.0250100285003095033.261624126.3042752024-04-01
3Y1993410662020-12-012025-11-301993-08-25D-005D-005제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 남원읍 의귀리 2004-1농업비음용지하수65.090.0250100180003060033.301562126.7220242024-04-01
4Y1993411032022-01-012026-12-311993-08-25D-006D-006제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 표선면 토산리 1141-1농업비음용지하수28.050.0250100180004060033.310939126.7703282024-04-01
5Y1993409932019-10-012024-09-301993-08-25D-017D-017제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 무릉리 2586-1농업비음용지하수32.0114.02501003450030115033.278121126.2102332024-04-01
6Y1993411042022-01-012026-12-311993-08-25D-020D-020제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 표선면 성읍리 553-2농업비음용지하수126.0143.0250100140404085033.390475126.8020782024-04-01
7Y1993200052022-10-012027-09-301993-08-25D-036D-036제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 신효동 1544-2농업비음용지하수68.092.0250100180002585033.269638126.6184732024-04-01
8Y1993409942019-10-012024-09-301993-08-25D-040D-040제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 신평리 852-1농업비음용지하수62.086.42501004200030140033.271009126.2585882024-04-01
9Y1993409952023-10-012028-09-301993-08-25D-048D-048제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 하예동 1560-3농업비음용지하수14.094.02501003150025105033.236309126.3733082024-04-01
허가번호허가기간시작허가기간종료허가(신고)일상호사업장명법인(성명)관정주소용도음용여부수원표고굴착깊이(m)케이싱구경(mm)토출관구경(세제곱미터)취수허가량(세제곱미터_월)동력장치(HP)양수능력(세제곱미터_일)위도경도데이터기준일
401W2000401102020-12-012025-11-302000-12-11S-019S-019제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 남원읍 남원리 305-41농업비음용지하수55.090.025080168002580033.288651126.7098662024-04-01
402Y1993410942019-10-012024-09-301993-08-25U-036U-036제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 상모리 2262-21농업비음용지하수24.047.52001001755040150033.226887126.2767652024-04-01
403Y1993410612019-10-012024-09-301993-08-25U-048U-048제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 상모리 2184-1농업비음용지하수25.0102.52001006000030200033.226699126.2735612024-04-01
404Y1993409742019-10-012024-09-301993-08-25U-050U-050제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 상모리 1408-2농업비음용지하수17.1125.02001005100025170033.218369126.2781872024-04-01
405Y1993410572019-10-012024-09-301993-08-25W-003W-003제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 대정읍 보성리 1295-4농업비음용지하수38.047.62501003300025110033.255311126.2707032024-04-01
406Y1993200112023-10-012028-09-301993-08-25W-018W-018제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 월평동 416-3농업비음용지하수60.035.52501003900020130033.246071126.4617982024-04-01
407Y1993410842022-01-012026-12-311993-08-25W-020W-020제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 성산읍 수산리 1994-1농업비음용지하수75.082.0200803000030100033.439357126.8689452024-04-01
408Y1993200062022-10-012027-09-301993-08-25W-024W-024제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 신효동 1544-1농업비음용지하수36.043.5250100210003070033.260237126.6122352024-04-01
409Y1993410652020-12-012025-11-301993-08-25W-026W-026제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 남원읍 태흥리 626-3농업비음용지하수16.027.52501003570040170033.29046126.7465132024-04-01
410Y1993409752022-01-012026-12-311993-08-25W-028W-028제주특별자치도 서귀포시(감귤농정과)제주특별자치도 서귀포시 표선면 가시리 1940-3농업비음용지하수98.0104.5200100240003080033.353858126.7731742024-04-01