Overview

Dataset statistics

Number of variables25
Number of observations414
Missing cells41
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.8 KiB
Average record size in memory212.3 B

Variable types

Categorical9
Text7
DateTime1
Numeric8

Alerts

집계년도 has constant value ""Constant
수계방류수역명 has constant value ""Constant
물리적시설용량 has constant value ""Constant
물리적처리량 has constant value ""Constant
위탁계약범위사항 has constant value ""Constant
전화번호정보 has 5 (1.2%) missing valuesMissing
지류방류수역명 has 26 (6.3%) missing valuesMissing
소재지우편번호 has 7 (1.7%) missing valuesMissing
생물학적시설용량 has 404 (97.6%) zerosZeros
사업비 has 14 (3.4%) zerosZeros
고도처리량 has 11 (2.7%) zerosZeros
생물학적처리량 has 407 (98.3%) zerosZeros
고도시설용량 has 7 (1.7%) zerosZeros

Reproduction

Analysis started2023-12-22 21:30:08.932042
Analysis finished2023-12-22 21:30:11.530520
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2021
414 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 414
100.0%

Length

2023-12-22T21:30:11.816142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:12.172538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 414
100.0%

시군명
Categorical

Distinct30
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
양평군
58 
화성시
42 
이천시
41 
용인시
36 
여주시
36 
Other values (25)
201 

Length

Max length4
Median length3
Mean length3.0507246
Min length3

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
양평군 58
14.0%
화성시 42
10.1%
이천시 41
9.9%
용인시 36
 
8.7%
여주시 36
 
8.7%
광주시 22
 
5.3%
평택시 21
 
5.1%
가평군 20
 
4.8%
포천시 19
 
4.6%
남양주시 18
 
4.3%
Other values (20) 101
24.4%

Length

2023-12-22T21:30:12.566650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양평군 58
14.0%
화성시 42
10.1%
이천시 41
9.9%
용인시 36
 
8.7%
여주시 36
 
8.7%
광주시 22
 
5.3%
평택시 21
 
5.1%
가평군 20
 
4.8%
포천시 19
 
4.6%
남양주시 18
 
4.3%
Other values (20) 101
24.4%

시설명
Text

Distinct405
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-22T21:30:13.319394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.5603865
Min length2

Characters and Unicode

Total characters1060
Distinct characters235
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

Unique398 ?
Unique (%)96.1%

Sample

1st row운악산
2nd row신천
3rd row호명
4th row은개
5th row상천
ValueCountFrequency (%)
증설 4
 
0.9%
내촌 3
 
0.7%
이화 3
 
0.7%
금촌 2
 
0.5%
문산 2
 
0.5%
봉담 2
 
0.5%
제 2
 
0.5%
신천 2
 
0.5%
양동 2
 
0.5%
단월 2
 
0.5%
Other values (400) 402
94.4%
2023-12-22T21:30:15.127924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 45
 
4.2%
2 25
 
2.4%
산 24
 
2.3%
동 21
 
2.0%
1 19
 
1.8%
곡 19
 
1.8%
천 19
 
1.8%
지 19
 
1.8%
장 18
 
1.7%
대 17
 
1.6%
Other values (225) 834
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 982
92.6%
Decimal Number 54
 
5.1%
Space Separator 12
 
1.1%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 45
 
4.6%
산 24
 
2.4%
동 21
 
2.1%
곡 19
 
1.9%
천 19
 
1.9%
지 19
 
1.9%
장 18
 
1.8%
대 17
 
1.7%
원 17
 
1.7%
현 17
 
1.7%
Other values (210) 766
78.0%
Decimal Number
ValueCountFrequency (%)
2 25
46.3%
1 19
35.2%
3 3
 
5.6%
5 2
 
3.7%
0 2
 
3.7%
9 1
 
1.9%
8 1
 
1.9%
4 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 982
92.6%
Common 75
 
7.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 45
 
4.6%
산 24
 
2.4%
동 21
 
2.1%
곡 19
 
1.9%
천 19
 
1.9%
지 19
 
1.9%
장 18
 
1.8%
대 17
 
1.7%
원 17
 
1.7%
현 17
 
1.7%
Other values (210) 766
78.0%
Common
ValueCountFrequency (%)
2 25
33.3%
1 19
25.3%
12
16.0%
( 4
 
5.3%
) 4
 
5.3%
3 3
 
4.0%
5 2
 
2.7%
0 2
 
2.7%
9 1
 
1.3%
8 1
 
1.3%
Other values (2) 2
 
2.7%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
Ⅰ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 982
92.6%
ASCII 77
 
7.3%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 45
 
4.6%
산 24
 
2.4%
동 21
 
2.1%
곡 19
 
1.9%
천 19
 
1.9%
지 19
 
1.9%
장 18
 
1.8%
대 17
 
1.7%
원 17
 
1.7%
현 17
 
1.7%
Other values (210) 766
78.0%
ASCII
ValueCountFrequency (%)
2 25
32.5%
1 19
24.7%
12
15.6%
( 4
 
5.2%
) 4
 
5.2%
3 3
 
3.9%
5 2
 
2.6%
0 2
 
2.6%
B 1
 
1.3%
9 1
 
1.3%
Other values (4) 4
 
5.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

전화번호정보
Text

MISSING 

Distinct153
Distinct (%)37.4%
Missing5
Missing (%)1.2%
Memory size3.4 KiB
2023-12-22T21:30:15.617993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03912
Min length11

Characters and Unicode

Total characters4924
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)25.4%

Sample

1st row031-581-8540
2nd row031-585-5823
3rd row031-581-8540
4th row031-585-8520
5th row031-581-8540
ValueCountFrequency (%)
031-352-8081 23
 
5.6%
031-637-1856 22
 
5.4%
031-211-0877 20
 
4.9%
031-884-4500 19
 
4.6%
031-760-2594 16
 
3.9%
031-887-3556 14
 
3.4%
031-771-5366 13
 
3.2%
031-560-1577 11
 
2.7%
031-531-7929 11
 
2.7%
031-676-9813 10
 
2.4%
Other values (143) 250
61.1%
2023-12-22T21:30:17.075295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 818
16.6%
1 703
14.3%
3 679
13.8%
0 677
13.7%
5 381
7.7%
7 374
7.6%
8 361
7.3%
6 311
 
6.3%
2 258
 
5.2%
4 202
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4106
83.4%
Dash Punctuation 818
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 703
17.1%
3 679
16.5%
0 677
16.5%
5 381
9.3%
7 374
9.1%
8 361
8.8%
6 311
7.6%
2 258
 
6.3%
4 202
 
4.9%
9 160
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 818
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 818
16.6%
1 703
14.3%
3 679
13.8%
0 677
13.7%
5 381
7.7%
7 374
7.6%
8 361
7.3%
6 311
 
6.3%
2 258
 
5.2%
4 202
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 818
16.6%
1 703
14.3%
3 679
13.8%
0 677
13.7%
5 381
7.7%
7 374
7.6%
8 361
7.3%
6 311
 
6.3%
2 258
 
5.2%
4 202
 
4.1%

운영주체명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
민간(대행)
317 
공기업
94 
자체
 
3

Length

Max length6
Median length6
Mean length5.2898551
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간(대행)
2nd row민간(대행)
3rd row민간(대행)
4th row민간(대행)
5th row민간(대행)

Common Values

ValueCountFrequency (%)
민간(대행) 317
76.6%
공기업 94
 
22.7%
자체 3
 
0.7%

Length

2023-12-22T21:30:17.586334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:17.973106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간(대행 317
76.6%
공기업 94
 
22.7%
자체 3
 
0.7%

위탁업체기관명
Text

Distinct56
Distinct (%)13.6%
Missing3
Missing (%)0.7%
Memory size3.4 KiB
2023-12-22T21:30:18.545354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length12.939173
Min length4

Characters and Unicode

Total characters5318
Distinct characters110
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

Unique21 ?
Unique (%)5.1%

Sample

1st row(주)파이닉스 알앤디
2nd row(주)파이닉스 알앤디
3rd row(주)파이닉스 알앤디
4th row(주)파이닉스 알앤디
5th row(주)파이닉스 알앤디
ValueCountFrequency (%)
양평공사 58
 
12.3%
주)가나엔텍,환경관리주식회사 40
 
8.5%
보람엔지니어링,도화,건화 31
 
6.6%
에코비트 27
 
5.7%
워터 27
 
5.7%
광주도시관리공사 22
 
4.7%
정하엔텍(주 21
 
4.5%
주)파이닉스 20
 
4.2%
알앤디 20
 
4.2%
주)테크로스환경서비스,㈜에코비트워터,㈜일주종합건설,㈜이산 19
 
4.0%
Other values (51) 186
39.5%
2023-12-22T21:30:19.631310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 409
 
7.7%
, 311
 
5.8%
( 294
 
5.5%
) 294
 
5.5%
엔 181
 
3.4%
스 157
 
3.0%
사 156
 
2.9%
환 133
 
2.5%
경 133
 
2.5%
비 132
 
2.5%
Other values (100) 3118
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4276
80.4%
Other Punctuation 311
 
5.8%
Open Punctuation 294
 
5.5%
Close Punctuation 294
 
5.5%
Other Symbol 75
 
1.4%
Space Separator 60
 
1.1%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 409
 
9.6%
엔 181
 
4.2%
스 157
 
3.7%
사 156
 
3.6%
환 133
 
3.1%
경 133
 
3.1%
비 132
 
3.1%
텍 104
 
2.4%
이 101
 
2.4%
에 98
 
2.3%
Other values (90) 2672
62.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
N 2
25.0%
V 2
25.0%
G 1
12.5%
S 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 75
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4351
81.8%
Common 959
 
18.0%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 409
 
9.4%
엔 181
 
4.2%
스 157
 
3.6%
사 156
 
3.6%
환 133
 
3.1%
경 133
 
3.1%
비 132
 
3.0%
텍 104
 
2.4%
이 101
 
2.3%
에 98
 
2.3%
Other values (91) 2747
63.1%
Latin
ValueCountFrequency (%)
E 2
25.0%
N 2
25.0%
V 2
25.0%
G 1
12.5%
S 1
12.5%
Common
ValueCountFrequency (%)
, 311
32.4%
( 294
30.7%
) 294
30.7%
60
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4276
80.4%
ASCII 967
 
18.2%
None 75
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 409
 
9.6%
엔 181
 
4.2%
스 157
 
3.7%
사 156
 
3.6%
환 133
 
3.1%
경 133
 
3.1%
비 132
 
3.1%
텍 104
 
2.4%
이 101
 
2.4%
에 98
 
2.3%
Other values (90) 2672
62.5%
ASCII
ValueCountFrequency (%)
, 311
32.2%
( 294
30.4%
) 294
30.4%
60
 
6.2%
E 2
 
0.2%
N 2
 
0.2%
V 2
 
0.2%
G 1
 
0.1%
S 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 75
100.0%

처리방법
Text

Distinct129
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-22T21:30:20.169461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length6.1835749
Min length2

Characters and Unicode

Total characters2560
Distinct characters143
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)18.1%

Sample

1st row고도접촉산화법
2nd rowBCS
3rd rowBBF-DNS
4th rowK-MBR
5th rowBBF-DNS
ValueCountFrequency (%)
sbr 34
 
7.4%
ic-sbr 25
 
5.5%
km-sbr 21
 
4.6%
ksmbr 17
 
3.7%
denipho 16
 
3.5%
cf-sbr 15
 
3.3%
mbr 14
 
3.1%
선회와류식 13
 
2.8%
hdf 11
 
2.4%
ksbnr 11
 
2.4%
Other values (131) 281
61.4%
2023-12-22T21:30:21.595238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 272
 
10.6%
R 243
 
9.5%
S 225
 
8.8%
- 119
 
4.6%
C 115
 
4.5%
N 100
 
3.9%
M 97
 
3.8%
K 82
 
3.2%
D 80
 
3.1%
A 75
 
2.9%
Other values (133) 1152
45.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1614
63.0%
Other Letter 493
 
19.3%
Lowercase Letter 181
 
7.1%
Dash Punctuation 119
 
4.6%
Other Punctuation 75
 
2.9%
Space Separator 44
 
1.7%
Decimal Number 23
 
0.9%
Other Symbol 5
 
0.2%
Letter Number 2
 
0.1%
Math Symbol 2
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 36
 
7.3%
기 30
 
6.1%
식 19
 
3.9%
화 17
 
3.4%
회 16
 
3.2%
산 16
 
3.2%
성 15
 
3.0%
지 14
 
2.8%
슬 14
 
2.8%
와 14
 
2.8%
Other values (85) 302
61.3%
Uppercase Letter
ValueCountFrequency (%)
B 272
16.9%
R 243
15.1%
S 225
13.9%
C 115
7.1%
N 100
 
6.2%
M 97
 
6.0%
K 82
 
5.1%
D 80
 
5.0%
A 75
 
4.6%
I 68
 
4.2%
Other values (11) 257
15.9%
Lowercase Letter
ValueCountFrequency (%)
o 39
21.5%
i 39
21.5%
e 33
18.2%
h 27
14.9%
a 9
 
5.0%
t 9
 
5.0%
g 6
 
3.3%
s 6
 
3.3%
m 4
 
2.2%
y 3
 
1.7%
Other values (4) 6
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 13
56.5%
3 4
 
17.4%
5 3
 
13.0%
4 3
 
13.0%
Other Punctuation
ValueCountFrequency (%)
, 73
97.3%
/ 2
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Symbol
ValueCountFrequency (%)
ⓢ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1797
70.2%
Hangul 493
 
19.3%
Common 270
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 36
 
7.3%
기 30
 
6.1%
식 19
 
3.9%
화 17
 
3.4%
회 16
 
3.2%
산 16
 
3.2%
성 15
 
3.0%
지 14
 
2.8%
슬 14
 
2.8%
와 14
 
2.8%
Other values (85) 302
61.3%
Latin
ValueCountFrequency (%)
B 272
15.1%
R 243
13.5%
S 225
12.5%
C 115
 
6.4%
N 100
 
5.6%
M 97
 
5.4%
K 82
 
4.6%
D 80
 
4.5%
A 75
 
4.2%
I 68
 
3.8%
Other values (26) 440
24.5%
Common
ValueCountFrequency (%)
- 119
44.1%
, 73
27.0%
44
 
16.3%
2 13
 
4.8%
ⓢ 5
 
1.9%
3 4
 
1.5%
5 3
 
1.1%
4 3
 
1.1%
/ 2
 
0.7%
+ 2
 
0.7%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2060
80.5%
Hangul 493
 
19.3%
Enclosed Alphanum 5
 
0.2%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 272
13.2%
R 243
 
11.8%
S 225
 
10.9%
- 119
 
5.8%
C 115
 
5.6%
N 100
 
4.9%
M 97
 
4.7%
K 82
 
4.0%
D 80
 
3.9%
A 75
 
3.6%
Other values (36) 652
31.7%
Hangul
ValueCountFrequency (%)
법 36
 
7.3%
기 30
 
6.1%
식 19
 
3.9%
화 17
 
3.4%
회 16
 
3.2%
산 16
 
3.2%
성 15
 
3.0%
지 14
 
2.8%
슬 14
 
2.8%
와 14
 
2.8%
Other values (85) 302
61.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓢ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

가동개시일
Date

Distinct293
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1986-11-01 00:00:00
Maximum2022-01-01 00:00:00
2023-12-22T21:30:22.280303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:30:22.865111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수계방류수역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
한강
414 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한강 414
100.0%

Length

2023-12-22T21:30:23.275480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:23.568208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강 414
100.0%

본류방류수역명
Categorical

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
팔당댐상류
135 
안성천
99 
임진강
51 
한강본류
48 
북한강하류
35 
Other values (3)
46 

Length

Max length5
Median length5
Mean length4.1594203
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북한강하류
2nd row북한강하류
3rd row북한강하류
4th row북한강상류
5th row북한강하류

Common Values

ValueCountFrequency (%)
팔당댐상류 135
32.6%
안성천 99
23.9%
임진강 51
 
12.3%
한강본류 48
 
11.6%
북한강하류 35
 
8.5%
남한강상류 31
 
7.5%
북한강상류 10
 
2.4%
남한강하류 5
 
1.2%

Length

2023-12-22T21:30:24.012196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:24.448554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
팔당댐상류 135
32.6%
안성천 99
23.9%
임진강 51
 
12.3%
한강본류 48
 
11.6%
북한강하류 35
 
8.5%
남한강상류 31
 
7.5%
북한강상류 10
 
2.4%
남한강하류 5
 
1.2%

지류방류수역명
Text

MISSING 

Distinct152
Distinct (%)39.2%
Missing26
Missing (%)6.3%
Memory size3.4 KiB
2023-12-22T21:30:25.210343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.9381443
Min length2

Characters and Unicode

Total characters1140
Distinct characters138
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)21.6%

Sample

1st row조종천
2nd row미원천
3rd row북한강
4th row조종천
5th row수리천
ValueCountFrequency (%)
한강 32
 
8.2%
복하천 17
 
4.3%
북한강 11
 
2.8%
진위천 10
 
2.6%
청미천 9
 
2.3%
남한강 9
 
2.3%
금당천 9
 
2.3%
왕숙천 8
 
2.0%
양화천 8
 
2.0%
황구지천 8
 
2.0%
Other values (144) 270
69.1%
2023-12-22T21:30:26.885465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 335
29.4%
한 58
 
5.1%
강 56
 
4.9%
곡 25
 
2.2%
양 21
 
1.8%
복 20
 
1.8%
하 20
 
1.8%
안 18
 
1.6%
신 18
 
1.6%
화 18
 
1.6%
Other values (128) 551
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1136
99.6%
Space Separator 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 335
29.5%
한 58
 
5.1%
강 56
 
4.9%
곡 25
 
2.2%
양 21
 
1.8%
복 20
 
1.8%
하 20
 
1.8%
안 18
 
1.6%
신 18
 
1.6%
화 18
 
1.6%
Other values (126) 547
48.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1136
99.6%
Common 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 335
29.5%
한 58
 
5.1%
강 56
 
4.9%
곡 25
 
2.2%
양 21
 
1.8%
복 20
 
1.8%
하 20
 
1.8%
안 18
 
1.6%
신 18
 
1.6%
화 18
 
1.6%
Other values (126) 547
48.2%
Common
ValueCountFrequency (%)
3
75.0%
, 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1136
99.6%
ASCII 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 335
29.5%
한 58
 
5.1%
강 56
 
4.9%
곡 25
 
2.2%
양 21
 
1.8%
복 20
 
1.8%
하 20
 
1.8%
안 18
 
1.6%
신 18
 
1.6%
화 18
 
1.6%
Other values (126) 547
48.2%
ASCII
ValueCountFrequency (%)
3
75.0%
, 1
 
25.0%

물리적시설용량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
414 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 414
100.0%

Length

2023-12-22T21:30:27.619292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:28.078545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 414
100.0%

생물학적시설용량
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.61111
Minimum0
Maximum40000
Zeros404
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:28.604779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40000
Range40000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2777.2821
Coefficient of variation (CV)13.983518
Kurtosis204.23187
Mean198.61111
Median Absolute Deviation (MAD)0
Skewness14.322257
Sum82225
Variance7713295.7
MonotonicityNot monotonic
2023-12-22T21:30:29.277205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 404
97.6%
40000 2
 
0.5%
30 2
 
0.5%
400 1
 
0.2%
1300 1
 
0.2%
150 1
 
0.2%
200 1
 
0.2%
35 1
 
0.2%
80 1
 
0.2%
ValueCountFrequency (%)
0 404
97.6%
30 2
 
0.5%
35 1
 
0.2%
80 1
 
0.2%
150 1
 
0.2%
200 1
 
0.2%
400 1
 
0.2%
1300 1
 
0.2%
40000 2
 
0.5%
ValueCountFrequency (%)
40000 2
 
0.5%
1300 1
 
0.2%
400 1
 
0.2%
200 1
 
0.2%
150 1
 
0.2%
80 1
 
0.2%
35 1
 
0.2%
30 2
 
0.5%
0 404
97.6%

사업비
Real number (ℝ)

ZEROS 

Distinct387
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25689.94
Minimum0
Maximum492036
Zeros14
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:29.927109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95.65
Q1835.5
median4030
Q326107
95-th percentile130479.95
Maximum492036
Range492036
Interquartile range (IQR)25271.5

Descriptive statistics

Standard deviation56119.781
Coefficient of variation (CV)2.1845042
Kurtosis23.001071
Mean25689.94
Median Absolute Deviation (MAD)3860
Skewness4.2829814
Sum10635635
Variance3.1494298 × 109
MonotonicityNot monotonic
2023-12-22T21:30:30.562003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
3.4%
189.0 2
 
0.5%
884.0 2
 
0.5%
2500.0 2
 
0.5%
170.0 2
 
0.5%
345.0 2
 
0.5%
187.0 2
 
0.5%
3446.0 2
 
0.5%
921.0 2
 
0.5%
30359.0 2
 
0.5%
Other values (377) 382
92.3%
ValueCountFrequency (%)
0.0 14
3.4%
14.0 1
 
0.2%
30.0 1
 
0.2%
49.0 1
 
0.2%
66.0 1
 
0.2%
85.0 1
 
0.2%
87.0 1
 
0.2%
95.0 1
 
0.2%
96.0 1
 
0.2%
105.0 1
 
0.2%
ValueCountFrequency (%)
492036.0 1
0.2%
382083.0 1
0.2%
349417.0 1
0.2%
329685.0 1
0.2%
325536.0 1
0.2%
288156.0 1
0.2%
232608.0 1
0.2%
206883.0 1
0.2%
194222.0 1
0.2%
192700.0 1
0.2%

고도처리량
Real number (ℝ)

ZEROS 

Distinct389
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12251.735
Minimum0
Maximum700925.2
Zeros11
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:31.249219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.965
Q148.125
median136
Q33114.1
95-th percentile52503.885
Maximum700925.2
Range700925.2
Interquartile range (IQR)3065.975

Descriptive statistics

Standard deviation52710.897
Coefficient of variation (CV)4.3023211
Kurtosis91.191639
Mean12251.735
Median Absolute Deviation (MAD)125.4
Skewness8.6179524
Sum5072218.2
Variance2.7784386 × 109
MonotonicityNot monotonic
2023-12-22T21:30:32.003225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
2.7%
10.8 3
 
0.7%
14.1 2
 
0.5%
80.9 2
 
0.5%
93.2 2
 
0.5%
24.1 2
 
0.5%
71.5 2
 
0.5%
67.4 2
 
0.5%
16.0 2
 
0.5%
59.2 2
 
0.5%
Other values (379) 384
92.8%
ValueCountFrequency (%)
0.0 11
2.7%
3.2 1
 
0.2%
4.1 1
 
0.2%
4.6 1
 
0.2%
6.0 1
 
0.2%
6.2 1
 
0.2%
7.3 1
 
0.2%
7.8 1
 
0.2%
8.2 1
 
0.2%
8.6 1
 
0.2%
ValueCountFrequency (%)
700925.2 1
0.2%
473720.0 1
0.2%
343111.6 1
0.2%
326486.4 1
0.2%
189719.8 1
0.2%
189704.9 1
0.2%
166096.6 1
0.2%
157940.0 1
0.2%
157389.8 1
0.2%
135314.8 1
0.2%

생물학적처리량
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.989372
Minimum0
Maximum1231.6
Zeros407
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:32.980527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1231.6
Range1231.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.238311
Coefficient of variation (CV)15.350364
Kurtosis393.79997
Mean3.989372
Median Absolute Deviation (MAD)0
Skewness19.640247
Sum1651.6
Variance3750.1308
MonotonicityNot monotonic
2023-12-22T21:30:33.842033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 407
98.3%
90.3 1
 
0.2%
1231.6 1
 
0.2%
66.7 1
 
0.2%
23.4 1
 
0.2%
142.6 1
 
0.2%
35.0 1
 
0.2%
62.0 1
 
0.2%
ValueCountFrequency (%)
0.0 407
98.3%
23.4 1
 
0.2%
35.0 1
 
0.2%
62.0 1
 
0.2%
66.7 1
 
0.2%
90.3 1
 
0.2%
142.6 1
 
0.2%
1231.6 1
 
0.2%
ValueCountFrequency (%)
1231.6 1
 
0.2%
142.6 1
 
0.2%
90.3 1
 
0.2%
66.7 1
 
0.2%
62.0 1
 
0.2%
35.0 1
 
0.2%
23.4 1
 
0.2%
0.0 407
98.3%

물리적처리량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
414 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 414
100.0%

Length

2023-12-22T21:30:34.411905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:34.784861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 414
100.0%

고도시설용량
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16344.7
Minimum0
Maximum900000
Zeros7
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:35.223623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.3
Q170
median200
Q34500
95-th percentile66050
Maximum900000
Range900000
Interquartile range (IQR)4430

Descriptive statistics

Standard deviation69465.162
Coefficient of variation (CV)4.2500113
Kurtosis81.901658
Mean16344.7
Median Absolute Deviation (MAD)170
Skewness8.1886297
Sum6766706
Variance4.8254087 × 109
MonotonicityNot monotonic
2023-12-22T21:30:35.857519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 25
 
6.0%
50 19
 
4.6%
60 18
 
4.3%
80 17
 
4.1%
150 11
 
2.7%
40 11
 
2.7%
120 10
 
2.4%
3000 8
 
1.9%
70 8
 
1.9%
200 8
 
1.9%
Other values (139) 279
67.4%
ValueCountFrequency (%)
0 7
1.7%
10 1
 
0.2%
16 3
0.7%
20 6
1.4%
23 4
1.0%
25 2
 
0.5%
30 7
1.7%
32 1
 
0.2%
33 1
 
0.2%
34 2
 
0.5%
ValueCountFrequency (%)
900000 1
0.2%
534000 1
0.2%
520000 1
0.2%
460000 1
0.2%
300000 1
0.2%
279000 1
0.2%
270000 1
0.2%
250000 1
0.2%
165000 1
0.2%
160000 1
0.2%

위탁계약범위사항
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
414 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 414
100.0%

Length

2023-12-22T21:30:36.372334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:30:36.822980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 414
100.0%

방류수소독방법
Categorical

Distinct13
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
염소 자외선 오존 기타
237 
자외선
101 
<NA>
27 
염소
 
17
자외선 오존 기타
 
9
Other values (8)
 
23

Length

Max length12
Median length12
Mean length8.4830918
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row염소 자외선 오존 기타
2nd row자외선
3rd row염소 자외선 오존 기타
4th row염소 자외선 오존 기타
5th row염소 자외선 오존 기타

Common Values

ValueCountFrequency (%)
염소 자외선 오존 기타 237
57.2%
자외선 101
24.4%
<NA> 27
 
6.5%
염소 17
 
4.1%
자외선 오존 기타 9
 
2.2%
염소 자외선 오존 7
 
1.7%
염소 자외선 5
 
1.2%
오존 3
 
0.7%
기타 3
 
0.7%
염소 오존 기타 2
 
0.5%
Other values (3) 3
 
0.7%

Length

2023-12-22T21:30:37.547277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자외선 362
30.9%
염소 269
23.0%
오존 259
22.1%
기타 253
21.6%
na 27
 
2.3%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct321
Distinct (%)78.9%
Missing7
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean14370.133
Minimum10009
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:38.234147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10009
5-th percentile10808
Q112442
median12667
Q317318
95-th percentile18558.7
Maximum18633
Range8624
Interquartile range (IQR)4876

Descriptive statistics

Standard deviation2825.981
Coefficient of variation (CV)0.19665657
Kurtosis-1.5914403
Mean14370.133
Median Absolute Deviation (MAD)1755
Skewness0.23235022
Sum5848644
Variance7986168.8
MonotonicityNot monotonic
2023-12-22T21:30:38.895113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12542 5
 
1.2%
12565 5
 
1.2%
17309 4
 
1.0%
12642 4
 
1.0%
17789 3
 
0.7%
18295 3
 
0.7%
12283 3
 
0.7%
12568 3
 
0.7%
17396 3
 
0.7%
12543 3
 
0.7%
Other values (311) 371
89.6%
(Missing) 7
 
1.7%
ValueCountFrequency (%)
10009 1
0.2%
10013 2
0.5%
10014 1
0.2%
10020 2
0.5%
10024 1
0.2%
10029 1
0.2%
10030 1
0.2%
10041 1
0.2%
10092 1
0.2%
10124 1
0.2%
ValueCountFrequency (%)
18633 1
0.2%
18632 1
0.2%
18626 1
0.2%
18614 2
0.5%
18586 2
0.5%
18583 1
0.2%
18576 2
0.5%
18574 1
0.2%
18573 1
0.2%
18570 2
0.5%

소재지도로명주소
Text

Distinct409
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-22T21:30:39.905199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length21.016908
Min length14

Characters and Unicode

Total characters8701
Distinct characters259
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

Unique404 ?
Unique (%)97.6%

Sample

1st row경기도 가평군 조종면 현등사길 7-8
2nd row경기도 가평군 설악면 자잠로 53-40
3rd row경기도 가평군 청평면 호명리 265-3
4th row경기도 가평군 조종면 대보리 47번지
5th row경기도 가평군 청평면 수리재길 79-14
ValueCountFrequency (%)
경기도 414
 
20.3%
양평군 58
 
2.9%
화성시 43
 
2.1%
이천시 41
 
2.0%
여주시 36
 
1.8%
용인시 36
 
1.8%
처인구 28
 
1.4%
광주시 22
 
1.1%
평택시 21
 
1.0%
가평군 20
 
1.0%
Other values (904) 1316
64.7%
2023-12-22T21:30:41.945985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1634
 
18.8%
도 432
 
5.0%
기 424
 
4.9%
경 423
 
4.9%
시 336
 
3.9%
1 305
 
3.5%
면 255
 
2.9%
- 203
 
2.3%
2 198
 
2.3%
로 192
 
2.2%
Other values (249) 4299
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5271
60.6%
Space Separator 1634
 
18.8%
Decimal Number 1589
 
18.3%
Dash Punctuation 203
 
2.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 432
 
8.2%
기 424
 
8.0%
경 423
 
8.0%
시 336
 
6.4%
면 255
 
4.8%
로 192
 
3.6%
리 146
 
2.8%
양 140
 
2.7%
평 137
 
2.6%
길 115
 
2.2%
Other values (235) 2671
50.7%
Decimal Number
ValueCountFrequency (%)
1 305
19.2%
2 198
12.5%
4 183
11.5%
5 158
9.9%
3 156
9.8%
8 136
8.6%
7 125
7.9%
6 116
 
7.3%
0 115
 
7.2%
9 97
 
6.1%
Space Separator
ValueCountFrequency (%)
1634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5271
60.6%
Common 3430
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 432
 
8.2%
기 424
 
8.0%
경 423
 
8.0%
시 336
 
6.4%
면 255
 
4.8%
로 192
 
3.6%
리 146
 
2.8%
양 140
 
2.7%
평 137
 
2.6%
길 115
 
2.2%
Other values (235) 2671
50.7%
Common
ValueCountFrequency (%)
1634
47.6%
1 305
 
8.9%
- 203
 
5.9%
2 198
 
5.8%
4 183
 
5.3%
5 158
 
4.6%
3 156
 
4.5%
8 136
 
4.0%
7 125
 
3.6%
6 116
 
3.4%
Other values (4) 216
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5271
60.6%
ASCII 3430
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1634
47.6%
1 305
 
8.9%
- 203
 
5.9%
2 198
 
5.8%
4 183
 
5.3%
5 158
 
4.6%
3 156
 
4.5%
8 136
 
4.0%
7 125
 
3.6%
6 116
 
3.4%
Other values (4) 216
 
6.3%
Hangul
ValueCountFrequency (%)
도 432
 
8.2%
기 424
 
8.0%
경 423
 
8.0%
시 336
 
6.4%
면 255
 
4.8%
로 192
 
3.6%
리 146
 
2.8%
양 140
 
2.7%
평 137
 
2.6%
길 115
 
2.2%
Other values (235) 2671
50.7%

소재지지번주소
Text

Distinct411
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-22T21:30:43.077410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length21.055556
Min length14

Characters and Unicode

Total characters8717
Distinct characters237
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

Unique408 ?
Unique (%)98.6%

Sample

1st row경기도 가평군 조종면 운악리 459번지
2nd row경기도 가평군 설악면 신천리 523
3rd row경기도 가평군 청평면 호명리 265-3
4th row경기도 가평군 조종면 대보리 47번지
5th row경기도 가평군 청평면 상천리 605
ValueCountFrequency (%)
경기도 414
 
20.3%
양평군 58
 
2.8%
화성시 43
 
2.1%
이천시 41
 
2.0%
여주시 36
 
1.8%
용인시 36
 
1.8%
처인구 28
 
1.4%
광주시 22
 
1.1%
평택시 21
 
1.0%
가평군 20
 
1.0%
Other values (917) 1324
64.8%
2023-12-22T21:30:45.262527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1629
 
18.7%
도 433
 
5.0%
기 422
 
4.8%
경 416
 
4.8%
리 345
 
4.0%
시 339
 
3.9%
1 282
 
3.2%
면 258
 
3.0%
- 253
 
2.9%
2 210
 
2.4%
Other values (227) 4130
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5305
60.9%
Space Separator 1629
 
18.7%
Decimal Number 1524
 
17.5%
Dash Punctuation 253
 
2.9%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 433
 
8.2%
기 422
 
8.0%
경 416
 
7.8%
리 345
 
6.5%
시 339
 
6.4%
면 258
 
4.9%
지 162
 
3.1%
평 139
 
2.6%
번 138
 
2.6%
양 137
 
2.6%
Other values (213) 2516
47.4%
Decimal Number
ValueCountFrequency (%)
1 282
18.5%
2 210
13.8%
3 177
11.6%
4 162
10.6%
5 150
9.8%
7 124
8.1%
0 113
7.4%
8 110
 
7.2%
6 108
 
7.1%
9 88
 
5.8%
Space Separator
ValueCountFrequency (%)
1629
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5305
60.9%
Common 3412
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 433
 
8.2%
기 422
 
8.0%
경 416
 
7.8%
리 345
 
6.5%
시 339
 
6.4%
면 258
 
4.9%
지 162
 
3.1%
평 139
 
2.6%
번 138
 
2.6%
양 137
 
2.6%
Other values (213) 2516
47.4%
Common
ValueCountFrequency (%)
1629
47.7%
1 282
 
8.3%
- 253
 
7.4%
2 210
 
6.2%
3 177
 
5.2%
4 162
 
4.7%
5 150
 
4.4%
7 124
 
3.6%
0 113
 
3.3%
8 110
 
3.2%
Other values (4) 202
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5305
60.9%
ASCII 3412
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1629
47.7%
1 282
 
8.3%
- 253
 
7.4%
2 210
 
6.2%
3 177
 
5.2%
4 162
 
4.7%
5 150
 
4.4%
7 124
 
3.6%
0 113
 
3.3%
8 110
 
3.2%
Other values (4) 202
 
5.9%
Hangul
ValueCountFrequency (%)
도 433
 
8.2%
기 422
 
8.0%
경 416
 
7.8%
리 345
 
6.5%
시 339
 
6.4%
면 258
 
4.9%
지 162
 
3.1%
평 139
 
2.6%
번 138
 
2.6%
양 137
 
2.6%
Other values (213) 2516
47.4%

WGS84위도
Real number (ℝ)

Distinct409
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.42239
Minimum36.936025
Maximum38.168756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:46.189009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.936025
5-th percentile37.047149
Q137.194484
median37.370572
Q337.621229
95-th percentile37.963778
Maximum38.168756
Range1.2327315
Interquartile range (IQR)0.42674484

Descriptive statistics

Standard deviation0.28158381
Coefficient of variation (CV)0.0075244743
Kurtosis-0.44899017
Mean37.42239
Median Absolute Deviation (MAD)0.19387985
Skewness0.56765326
Sum15492.869
Variance0.079289443
MonotonicityNot monotonic
2023-12-22T21:30:47.032488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4325523448 2
 
0.5%
37.6315567826 2
 
0.5%
37.7637300739 2
 
0.5%
37.8629381572 2
 
0.5%
37.2305342304 2
 
0.5%
37.3011607363 1
 
0.2%
37.2508568189 1
 
0.2%
37.2955224354 1
 
0.2%
37.1358134509 1
 
0.2%
37.1779745801 1
 
0.2%
Other values (399) 399
96.4%
ValueCountFrequency (%)
36.9360248623 1
0.2%
36.9417288611 1
0.2%
36.9448447147 1
0.2%
36.9483309321 1
0.2%
36.9575493976 1
0.2%
36.9653540145 1
0.2%
36.9803078497 1
0.2%
36.986109467 1
0.2%
36.9877473496 1
0.2%
36.9891386751 1
0.2%
ValueCountFrequency (%)
38.1687563473 1
0.2%
38.1654636667 1
0.2%
38.1623108065 1
0.2%
38.102365165 1
0.2%
38.1012498464 1
0.2%
38.0869200994 1
0.2%
38.0679129202 1
0.2%
38.0504828572 1
0.2%
38.0369755207 1
0.2%
38.0248705225 1
0.2%

WGS84경도
Real number (ℝ)

Distinct409
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22163
Minimum126.3929
Maximum127.77334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-22T21:30:47.930160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3929
5-th percentile126.69619
Q1126.97635
median127.26217
Q3127.5
95-th percentile127.66716
Maximum127.77334
Range1.3804395
Interquartile range (IQR)0.52365182

Descriptive statistics

Standard deviation0.31294844
Coefficient of variation (CV)0.0024598683
Kurtosis-0.88223135
Mean127.22163
Median Absolute Deviation (MAD)0.25382722
Skewness-0.35323936
Sum52669.753
Variance0.097936727
MonotonicityNot monotonic
2023-12-22T21:30:48.781238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.53103897 2
 
0.5%
127.3470474426 2
 
0.5%
126.7613221903 2
 
0.5%
126.7638965672 2
 
0.5%
126.9547673881 2
 
0.5%
127.4953423954 1
 
0.2%
127.5268450984 1
 
0.2%
127.5118955852 1
 
0.2%
127.5228671279 1
 
0.2%
127.5102852378 1
 
0.2%
Other values (399) 399
96.4%
ValueCountFrequency (%)
126.3929010601 1
0.2%
126.450138532 1
0.2%
126.5295937995 1
0.2%
126.5355592573 1
0.2%
126.5356391638 1
0.2%
126.5454924165 1
0.2%
126.5721166593 1
0.2%
126.5731622594 1
0.2%
126.5837295511 1
0.2%
126.5934788068 1
0.2%
ValueCountFrequency (%)
127.7733405509 1
0.2%
127.7579327588 1
0.2%
127.754743372 1
0.2%
127.7370996222 1
0.2%
127.721710368 1
0.2%
127.7136017898 1
0.2%
127.6963554602 1
0.2%
127.6893932514 1
0.2%
127.6861563499 1
0.2%
127.6852208903 1
0.2%

Sample

집계년도시군명시설명전화번호정보운영주체명위탁업체기관명처리방법가동개시일수계방류수역명본류방류수역명지류방류수역명물리적시설용량생물학적시설용량사업비고도처리량생물학적처리량물리적처리량고도시설용량위탁계약범위사항방류수소독방법소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도
02021가평군운악산031-581-8540민간(대행)(주)파이닉스 알앤디고도접촉산화법2002-10-04한강북한강하류조종천0400621.00.090.3000염소 자외선 오존 기타12432경기도 가평군 조종면 현등사길 7-8경기도 가평군 조종면 운악리 459번지37.86515127.349303
12021가평군신천031-585-5823민간(대행)(주)파이닉스 알앤디BCS2007-04-08한강북한강하류미원천0010129.01496.90.0013000자외선12465경기도 가평군 설악면 자잠로 53-40경기도 가평군 설악면 신천리 52337.683339127.48931
22021가평군호명031-581-8540민간(대행)(주)파이닉스 알앤디BBF-DNS2008-09-01한강북한강하류북한강001500.069.80.00800염소 자외선 오존 기타12455경기도 가평군 청평면 호명리 265-3경기도 가평군 청평면 호명리 265-337.716273127.458835
32021가평군은개031-585-8520민간(대행)(주)파이닉스 알앤디K-MBR2011-03-02한강북한강상류조종천001362.032.10.00500염소 자외선 오존 기타12439경기도 가평군 조종면 대보리 47번지경기도 가평군 조종면 대보리 47번지37.800819127.396065
42021가평군상천031-581-8540민간(대행)(주)파이닉스 알앤디BBF-DNS2008-09-01한강북한강하류수리천002670.048.50.00700염소 자외선 오존 기타12449경기도 가평군 청평면 수리재길 79-14경기도 가평군 청평면 상천리 60537.77318127.441535
52021가평군미사031-585-8523민간(대행)(주)파이닉스 알앤디BBF-DNS2008-09-01한강북한강하류미사천002058.064.90.00800자외선 오존 기타12462경기도 가평군 설악면 미사리 437-2경기도 가평군 설악면 미사리 437-237.714972127.541074
62021가평군양동031-585-5820민간(대행)(주)파이닉스 알앤디KNR2008-09-01한강북한강하류조종천002458.053.90.001000염소 자외선 오존 기타12434경기도 가평군 조종면 신상리 809경기도 가평군 조종면 신상리 80937.845496127.352014
72021가평군샛말031-585-5820민간(대행)(주)파이닉스 알앤디BBF-DNS2008-09-01한강북한강하류조종천002345.062.50.001100염소 자외선 오존 기타12436경기도 가평군 조종면 연인산로 84경기도 가평군 조종면 신하리 463-1437.824538127.357544
82021가평군삼회031-584-8534민간(대행)(주)파이닉스 알앤디BCS2006-11-08한강북한강하류북한강0014565.0509.80.0010000자외선12458경기도 가평군 청평면 북한강로 1641경기도 가평군 청평면 삼회리 475-137.667943127.380651
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4042021화성시궁평031-352-8081민간(대행)에코비트 워터KM-SBR2009-09-01한강북한강상류한강002248.055.00.00500염소 자외선 오존 기타18556경기도 화성시 서신면 대수풀길 86경기도 화성시 서신면 궁평리 70-2937.132335126.705038
4052021화성시신남031-352-8081민간(대행)에코비트 워터KM-SBR2009-04-14한강안성천한강003860.047.60.00500염소 자외선 오존 기타18269경기도 화성시 남양읍 신남안길 148경기도 화성시 남양읍 신남리 734-2번지37.181608126.811938
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4082021화성시동지031-352-8081민간(대행)에코비트 워터IC-SBR2007-06-01한강북한강상류황구지천001515.013.60.00450염소 자외선 오존 기타18626경기도 화성시 양감면 동지골길 24-12경기도 화성시 양감면 사창리 56137.097032126.96899
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4112021화성시물구리031-352-8081민간(대행)에코비트 워터KM-SBR2010-01-15한강북한강상류한강00217.09.00.00350염소 자외선 오존 기타18586경기도 화성시 장안면 물골길19번길 6-1경기도 화성시 장안면 장안리 28537.052399126.857466
4122021화성시쇠내031-352-8081민간(대행)에코비트 워터KM-SBR2010-01-15한강북한강상류한강00170.010.00.00200염소 자외선 오존 기타18536경기도 화성시 팔탄면 녹막말길 81-44경기도 화성시 팔탄면 율암리 267-1537.169332126.86786
4132021화성시동탄2031-8058-0173민간(대행)환경시설관리주식회사,브니엘네이처(주)HANT2017-02-27한강안성천신리천00147600.067738.50.001220000염소 자외선 오존 기타18487경기도 화성시 방교동 795경기도 화성시 방교동 79537.176776127.086436