Overview

Dataset statistics

Number of variables22
Number of observations65
Missing cells5
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory195.0 B

Variable types

Numeric17
Categorical3
Text2

Dataset

Description경상남도 내 빗물 이용 시설 설치현황 자료로, 시군명, 시설의 건축물명, 시설의 위치, 이용용도, 월간 빗물 사용량 등에 관한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3084104

Alerts

시군 has constant value ""Constant
설치비(백만원) has 4 (6.2%) missing valuesMissing
연간 사용량 has 1 (1.5%) missing valuesMissing
연번 has unique valuesUnique
건축물명 has unique valuesUnique
연간운영비(백만원_년) has 31 (47.7%) zerosZeros
연간 사용량 has 8 (12.3%) zerosZeros
빗물사용량(1월) has 43 (66.2%) zerosZeros
빗물사용량(2월) has 40 (61.5%) zerosZeros
빗물사용량(3월) has 27 (41.5%) zerosZeros
빗물사용량(4월) has 23 (35.4%) zerosZeros
빗물사용량(5월) has 20 (30.8%) zerosZeros
빗물사용량(6월) has 17 (26.2%) zerosZeros
빗물사용량(7월) has 19 (29.2%) zerosZeros
빗물사용량(8월) has 19 (29.2%) zerosZeros
빗물사용량(9월) has 21 (32.3%) zerosZeros
빗물사용량(10월) has 17 (26.2%) zerosZeros
빗물사용량(11월) has 24 (36.9%) zerosZeros
빗물사용량(12월) has 39 (60.0%) zerosZeros

Reproduction

Analysis started2023-12-11 00:59:24.765514
Analysis finished2023-12-11 00:59:25.097669
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:25.160894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-11T09:59:25.286691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
창원시
65 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 65
100.0%

Length

2023-12-11T09:59:25.429249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:59:25.518512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 65
100.0%

건축물명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T09:59:25.737075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length9.8769231
Min length5

Characters and Unicode

Total characters642
Distinct characters202
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

Unique65 ?
Unique (%)100.0%

Sample

1st row북면감계 힐스테이트
2nd row㈜피앤에이산업개발
3rd row창원국제사격장
4th row창원 감계아내 에코프리미엄2차
5th row중동유니시티 1단지
ValueCountFrequency (%)
거제 3
 
3.2%
힐스테이트 2
 
2.2%
1단지 2
 
2.2%
아이파크2차 2
 
2.2%
율하체육관 1
 
1.1%
두곡한라비발디센텀시티 1
 
1.1%
삼천포 1
 
1.1%
tower 1
 
1.1%
land/mark 1
 
1.1%
옥포 1
 
1.1%
Other values (78) 78
83.9%
2023-12-11T09:59:26.159858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
11.5%
원 14
 
2.2%
센 13
 
2.0%
트 12
 
1.9%
파 11
 
1.7%
스 10
 
1.6%
아 10
 
1.6%
지 10
 
1.6%
시 9
 
1.4%
체 9
 
1.4%
Other values (192) 470
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
81.8%
Space Separator 74
 
11.5%
Uppercase Letter 21
 
3.3%
Decimal Number 12
 
1.9%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Other Symbol 2
 
0.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 14
 
2.7%
센 13
 
2.5%
트 12
 
2.3%
파 11
 
2.1%
스 10
 
1.9%
아 10
 
1.9%
지 10
 
1.9%
시 9
 
1.7%
체 9
 
1.7%
산 9
 
1.7%
Other values (166) 418
79.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
 
9.5%
R 2
 
9.5%
S 2
 
9.5%
K 2
 
9.5%
A 2
 
9.5%
M 2
 
9.5%
T 1
 
4.8%
D 1
 
4.8%
N 1
 
4.8%
L 1
 
4.8%
Other values (5) 5
23.8%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
1 4
33.3%
4 1
 
8.3%
3 1
 
8.3%
7 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
82.1%
Common 94
 
14.6%
Latin 21
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 14
 
2.7%
센 13
 
2.5%
트 12
 
2.3%
파 11
 
2.1%
스 10
 
1.9%
아 10
 
1.9%
지 10
 
1.9%
시 9
 
1.7%
체 9
 
1.7%
산 9
 
1.7%
Other values (167) 420
79.7%
Latin
ValueCountFrequency (%)
C 2
 
9.5%
R 2
 
9.5%
S 2
 
9.5%
K 2
 
9.5%
A 2
 
9.5%
M 2
 
9.5%
T 1
 
4.8%
D 1
 
4.8%
N 1
 
4.8%
L 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
74
78.7%
2 5
 
5.3%
1 4
 
4.3%
) 3
 
3.2%
( 3
 
3.2%
/ 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%
7 1
 
1.1%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
81.8%
ASCII 115
 
17.9%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
64.3%
2 5
 
4.3%
1 4
 
3.5%
) 3
 
2.6%
( 3
 
2.6%
C 2
 
1.7%
R 2
 
1.7%
S 2
 
1.7%
K 2
 
1.7%
A 2
 
1.7%
Other values (15) 16
 
13.9%
Hangul
ValueCountFrequency (%)
원 14
 
2.7%
센 13
 
2.5%
트 12
 
2.3%
파 11
 
2.1%
스 10
 
1.9%
아 10
 
1.9%
지 10
 
1.9%
시 9
 
1.7%
체 9
 
1.7%
산 9
 
1.7%
Other values (166) 418
79.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

위치
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T09:59:26.438285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length20.323077
Min length10

Characters and Unicode

Total characters1321
Distinct characters143
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

Unique63 ?
Unique (%)96.9%

Sample

1st row창원시 의창구 북면 감계 4B 14L
2nd row창원시 의창구 서상동 666-5
3rd row창원시 의창구 사림로99번길 63
4th row창원시 의창구 북면 감계리 232-1
5th row창원시 의창구 중동 145번지 중동 유니시티 1단지
ValueCountFrequency (%)
경상남도 25
 
8.7%
창원시 20
 
7.0%
진주시 10
 
3.5%
김해시 9
 
3.1%
의창구 8
 
2.8%
양산시 8
 
2.8%
거제시 5
 
1.7%
마산합포구 5
 
1.7%
물금읍 5
 
1.7%
경남 4
 
1.4%
Other values (162) 187
65.4%
2023-12-11T09:59:26.852579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
21.0%
시 57
 
4.3%
1 48
 
3.6%
로 42
 
3.2%
창 37
 
2.8%
남 33
 
2.5%
산 32
 
2.4%
동 31
 
2.3%
경 30
 
2.3%
3 29
 
2.2%
Other values (133) 705
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 777
58.8%
Space Separator 277
 
21.0%
Decimal Number 224
 
17.0%
Dash Punctuation 17
 
1.3%
Open Punctuation 10
 
0.8%
Close Punctuation 10
 
0.8%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 57
 
7.3%
로 42
 
5.4%
창 37
 
4.8%
남 33
 
4.2%
산 32
 
4.1%
동 31
 
4.0%
경 30
 
3.9%
상 29
 
3.7%
원 28
 
3.6%
도 27
 
3.5%
Other values (114) 431
55.5%
Decimal Number
ValueCountFrequency (%)
1 48
21.4%
3 29
12.9%
2 27
12.1%
5 22
9.8%
4 22
9.8%
0 19
 
8.5%
9 15
 
6.7%
7 15
 
6.7%
8 14
 
6.2%
6 13
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 777
58.8%
Common 541
41.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 57
 
7.3%
로 42
 
5.4%
창 37
 
4.8%
남 33
 
4.2%
산 32
 
4.1%
동 31
 
4.0%
경 30
 
3.9%
상 29
 
3.7%
원 28
 
3.6%
도 27
 
3.5%
Other values (114) 431
55.5%
Common
ValueCountFrequency (%)
277
51.2%
1 48
 
8.9%
3 29
 
5.4%
2 27
 
5.0%
5 22
 
4.1%
4 22
 
4.1%
0 19
 
3.5%
- 17
 
3.1%
9 15
 
2.8%
7 15
 
2.8%
Other values (6) 50
 
9.2%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 777
58.8%
ASCII 543
41.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
51.0%
1 48
 
8.8%
3 29
 
5.3%
2 27
 
5.0%
5 22
 
4.1%
4 22
 
4.1%
0 19
 
3.5%
- 17
 
3.1%
9 15
 
2.8%
7 15
 
2.8%
Other values (8) 52
 
9.6%
Hangul
ValueCountFrequency (%)
시 57
 
7.3%
로 42
 
5.4%
창 37
 
4.8%
남 33
 
4.2%
산 32
 
4.1%
동 31
 
4.0%
경 30
 
3.9%
상 29
 
3.7%
원 28
 
3.6%
도 27
 
3.5%
Other values (114) 431
55.5%
None
ValueCountFrequency (%)
· 1
100.0%

설치비(백만원)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)82.0%
Missing4
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean146.70492
Minimum10
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:26.981733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26
Q154
median76
Q3128
95-th percentile380
Maximum2000
Range1990
Interquartile range (IQR)74

Descriptive statistics

Standard deviation279.37862
Coefficient of variation (CV)1.9043575
Kurtosis34.163029
Mean146.70492
Median Absolute Deviation (MAD)27
Skewness5.5322665
Sum8949
Variance78052.411
MonotonicityNot monotonic
2023-12-11T09:59:27.104256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 4
 
6.2%
50 3
 
4.6%
20 2
 
3.1%
60 2
 
3.1%
26 2
 
3.1%
100 2
 
3.1%
75 2
 
3.1%
80 2
 
3.1%
52 1
 
1.5%
74 1
 
1.5%
Other values (40) 40
61.5%
(Missing) 4
 
6.2%
ValueCountFrequency (%)
10 1
 
1.5%
20 2
3.1%
26 2
3.1%
30 1
 
1.5%
36 1
 
1.5%
40 1
 
1.5%
46 1
 
1.5%
48 1
 
1.5%
50 3
4.6%
52 1
 
1.5%
ValueCountFrequency (%)
2000 1
1.5%
1000 1
1.5%
450 1
1.5%
380 1
1.5%
307 1
1.5%
241 1
1.5%
207 1
1.5%
202 1
1.5%
183 1
1.5%
177 1
1.5%

연간운영비(백만원_년)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6307692
Minimum0
Maximum48
Zeros31
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:27.213198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile28.4
Maximum48
Range48
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.2408218
Coefficient of variation (CV)1.9955263
Kurtosis8.9823156
Mean4.6307692
Median Absolute Deviation (MAD)1
Skewness2.9028286
Sum301
Variance85.392788
MonotonicityNot monotonic
2023-12-11T09:59:27.309682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 31
47.7%
1 7
 
10.8%
2 6
 
9.2%
3 5
 
7.7%
8 5
 
7.7%
30 2
 
3.1%
48 1
 
1.5%
10 1
 
1.5%
12 1
 
1.5%
5 1
 
1.5%
Other values (5) 5
 
7.7%
ValueCountFrequency (%)
0 31
47.7%
1 7
 
10.8%
2 6
 
9.2%
3 5
 
7.7%
5 1
 
1.5%
6 1
 
1.5%
8 5
 
7.7%
10 1
 
1.5%
12 1
 
1.5%
15 1
 
1.5%
ValueCountFrequency (%)
48 1
 
1.5%
33 1
 
1.5%
30 2
 
3.1%
22 1
 
1.5%
16 1
 
1.5%
15 1
 
1.5%
12 1
 
1.5%
10 1
 
1.5%
8 5
7.7%
6 1
 
1.5%

빗물저류조 용량(세제곱미터)
Real number (ℝ)

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2680.2745
Minimum40
Maximum70811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:27.414443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile60
Q1112.5
median340
Q3700
95-th percentile1605.28
Maximum70811
Range70771
Interquartile range (IQR)587.5

Descriptive statistics

Standard deviation11025.779
Coefficient of variation (CV)4.1136754
Kurtosis27.439099
Mean2680.2745
Median Absolute Deviation (MAD)250
Skewness5.1640994
Sum174217.84
Variance1.215678 × 108
MonotonicityNot monotonic
2023-12-11T09:59:27.560052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 3
 
4.6%
700.0 2
 
3.1%
420.0 2
 
3.1%
81.0 2
 
3.1%
500.0 1
 
1.5%
612.4 1
 
1.5%
581.0 1
 
1.5%
822.0 1
 
1.5%
1460.0 1
 
1.5%
1026.0 1
 
1.5%
Other values (50) 50
76.9%
ValueCountFrequency (%)
40.0 1
 
1.5%
59.5 1
 
1.5%
60.0 3
4.6%
64.22 1
 
1.5%
69.5 1
 
1.5%
75.6 1
 
1.5%
79.0 1
 
1.5%
81.0 2
3.1%
84.0 1
 
1.5%
90.0 1
 
1.5%
ValueCountFrequency (%)
70811.0 1
1.5%
48000.0 1
1.5%
30188.0 1
1.5%
1641.6 1
1.5%
1460.0 1
1.5%
1026.0 1
1.5%
1023.0 1
1.5%
1000.0 1
1.5%
822.0 1
1.5%
760.0 1
1.5%

빗물이용용도
Categorical

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
조경용수
44 
조경용수
14 
조경용
 
3
수세식화장실(소변기)
 
1
세척.살수용수
 
1
Other values (2)
 
2

Length

Max length13
Median length6
Mean length5.7538462
Min length4

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row 조경용수
2nd row 조경용
3rd row 수세식화장실(소변기)
4th row 조경용수
5th row 조경용수

Common Values

ValueCountFrequency (%)
조경용수 44
67.7%
조경용수 14
 
21.5%
조경용 3
 
4.6%
수세식화장실(소변기) 1
 
1.5%
세척.살수용수 1
 
1.5%
청소용수 1
 
1.5%
청소.화장실 용수 1
 
1.5%

Length

2023-12-11T09:59:27.695558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:59:27.785534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조경용수 58
87.9%
조경용 3
 
4.5%
수세식화장실(소변기 1
 
1.5%
세척.살수용수 1
 
1.5%
청소용수 1
 
1.5%
청소.화장실 1
 
1.5%
용수 1
 
1.5%

법적근거
Categorical

Distinct11
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
물재이용법 제10조1항2호
23 
<NA>
18 
물재이용법 제10조1항1호의 가
8 
물재이용법 제10조1항1호의 다
6 
물재이용법 제10조1항5호
 
2
Other values (6)
8 

Length

Max length17
Median length14
Mean length11.907692
Min length4

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row물재이용법 제10조1항2호
2nd row물재이용법 제10조1항2호
3rd row물재이용법 제10조1항2호
4th row물재이용법 제10조1항1호의 가
5th row물재이용법 제10조1항2호

Common Values

ValueCountFrequency (%)
물재이용법 제10조1항2호 23
35.4%
<NA> 18
27.7%
물재이용법 제10조1항1호의 가 8
 
12.3%
물재이용법 제10조1항1호의 다 6
 
9.2%
물재이용법 제10조1항5호 2
 
3.1%
물재이용법 제10조1항4호 2
 
3.1%
물재이용법 제10조1항1호의 나 2
 
3.1%
물재이용법 제10조2항1호 1
 
1.5%
물재이용법 제10조4항 1
 
1.5%
물재이용법 제10조2항 1
 
1.5%

Length

2023-12-11T09:59:27.894784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물재이용법 47
36.7%
제10조1항2호 23
18.0%
na 18
 
14.1%
제10조1항1호의 16
 
12.5%
가 8
 
6.2%
다 6
 
4.7%
제10조1항5호 2
 
1.6%
제10조1항4호 2
 
1.6%
나 2
 
1.6%
제10조2항1호 1
 
0.8%
Other values (3) 3
 
2.3%

연간 사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)75.0%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean3803.2031
Minimum0
Maximum104833
Zeros8
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:27.998742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.75
median64
Q3237.75
95-th percentile9565
Maximum104833
Range104833
Interquartile range (IQR)226

Descriptive statistics

Standard deviation16366.704
Coefficient of variation (CV)4.3033999
Kurtosis28.376928
Mean3803.2031
Median Absolute Deviation (MAD)63.5
Skewness5.2485537
Sum243405
Variance2.67869 × 108
MonotonicityNot monotonic
2023-12-11T09:59:28.115388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 8
 
12.3%
18.0 3
 
4.6%
120.0 2
 
3.1%
30.0 2
 
3.1%
3.0 2
 
3.1%
20.0 2
 
3.1%
12.0 2
 
3.1%
1.0 2
 
3.1%
350.0 2
 
3.1%
33715.0 1
 
1.5%
Other values (38) 38
58.5%
ValueCountFrequency (%)
0.0 8
12.3%
1.0 2
 
3.1%
1.2 1
 
1.5%
3.0 2
 
3.1%
4.0 1
 
1.5%
8.5 1
 
1.5%
11.0 1
 
1.5%
12.0 2
 
3.1%
18.0 3
 
4.6%
20.0 2
 
3.1%
ValueCountFrequency (%)
104833.0 1
1.5%
74204.0 1
1.5%
33715.0 1
1.5%
10000.0 1
1.5%
7100.0 1
1.5%
3121.0 1
1.5%
1704.0 1
1.5%
1219.0 1
1.5%
1200.0 1
1.5%
964.0 1
1.5%

빗물사용량(1월)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.669231
Minimum0
Maximum567
Zeros43
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:28.214427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile249
Maximum567
Range567
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation111.94433
Coefficient of variation (CV)3.1384005
Kurtosis12.930978
Mean35.669231
Median Absolute Deviation (MAD)0
Skewness3.6144432
Sum2318.5
Variance12531.533
MonotonicityNot monotonic
2023-12-11T09:59:28.315307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 43
66.2%
1.0 5
 
7.7%
10.0 3
 
4.6%
233.0 1
 
1.5%
3.0 1
 
1.5%
500.0 1
 
1.5%
253.0 1
 
1.5%
567.0 1
 
1.5%
5.0 1
 
1.5%
4.0 1
 
1.5%
Other values (7) 7
 
10.8%
ValueCountFrequency (%)
0.0 43
66.2%
1.0 5
 
7.7%
1.5 1
 
1.5%
2.0 1
 
1.5%
3.0 1
 
1.5%
4.0 1
 
1.5%
5.0 1
 
1.5%
6.0 1
 
1.5%
10.0 3
 
4.6%
60.0 1
 
1.5%
ValueCountFrequency (%)
567.0 1
 
1.5%
500.0 1
 
1.5%
396.0 1
 
1.5%
253.0 1
 
1.5%
233.0 1
 
1.5%
159.0 1
 
1.5%
94.0 1
 
1.5%
60.0 1
 
1.5%
10.0 3
4.6%
6.0 1
 
1.5%

빗물사용량(2월)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.884615
Minimum0
Maximum2137
Zeros40
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:28.425097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile457
Maximum2137
Range2137
Interquartile range (IQR)3

Descriptive statistics

Standard deviation287.40059
Coefficient of variation (CV)4.2336631
Kurtosis43.412727
Mean67.884615
Median Absolute Deviation (MAD)0
Skewness6.2486708
Sum4412.5
Variance82599.1
MonotonicityNot monotonic
2023-12-11T09:59:28.527828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 40
61.5%
1.0 6
 
9.2%
10.0 3
 
4.6%
500.0 2
 
3.1%
4.0 2
 
3.1%
2137.0 1
 
1.5%
285.0 1
 
1.5%
641.0 1
 
1.5%
5.0 1
 
1.5%
15.0 1
 
1.5%
Other values (7) 7
 
10.8%
ValueCountFrequency (%)
0.0 40
61.5%
1.0 6
 
9.2%
1.5 1
 
1.5%
2.0 1
 
1.5%
3.0 1
 
1.5%
4.0 2
 
3.1%
5.0 1
 
1.5%
6.0 1
 
1.5%
10.0 3
 
4.6%
15.0 1
 
1.5%
ValueCountFrequency (%)
2137.0 1
 
1.5%
641.0 1
 
1.5%
500.0 2
3.1%
285.0 1
 
1.5%
120.0 1
 
1.5%
88.0 1
 
1.5%
65.0 1
 
1.5%
15.0 1
 
1.5%
10.0 3
4.6%
6.0 1
 
1.5%

빗물사용량(3월)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.07846
Minimum0
Maximum3972
Zeros27
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:28.640584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile911.6
Maximum3972
Range3972
Interquartile range (IQR)10

Descriptive statistics

Standard deviation588.13469
Coefficient of variation (CV)3.8420473
Kurtosis29.968747
Mean153.07846
Median Absolute Deviation (MAD)2
Skewness5.2067114
Sum9950.1
Variance345902.42
MonotonicityNot monotonic
2023-12-11T09:59:28.762736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 27
41.5%
10.0 4
 
6.2%
2.0 4
 
6.2%
5.0 3
 
4.6%
1.0 3
 
4.6%
7.0 3
 
4.6%
30.0 3
 
4.6%
11.0 2
 
3.1%
0.6 1
 
1.5%
1000.0 1
 
1.5%
Other values (14) 14
21.5%
ValueCountFrequency (%)
0.0 27
41.5%
0.6 1
 
1.5%
1.0 3
 
4.6%
1.5 1
 
1.5%
2.0 4
 
6.2%
3.0 1
 
1.5%
4.0 1
 
1.5%
5.0 3
 
4.6%
7.0 3
 
4.6%
9.0 1
 
1.5%
ValueCountFrequency (%)
3972.0 1
 
1.5%
2145.0 1
 
1.5%
1321.0 1
 
1.5%
1000.0 1
 
1.5%
558.0 1
 
1.5%
447.0 1
 
1.5%
107.0 1
 
1.5%
79.0 1
 
1.5%
70.0 1
 
1.5%
30.0 3
4.6%

빗물사용량(4월)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.94308
Minimum0
Maximum7892
Zeros23
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:28.885909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile909.6
Maximum7892
Range7892
Interquartile range (IQR)21

Descriptive statistics

Standard deviation1330.507
Coefficient of variation (CV)4.3919374
Kurtosis27.403847
Mean302.94308
Median Absolute Deviation (MAD)3
Skewness5.2530955
Sum19691.3
Variance1770248.9
MonotonicityNot monotonic
2023-12-11T09:59:29.007572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 23
35.4%
3.0 5
 
7.7%
2.0 4
 
6.2%
10.0 3
 
4.6%
1.0 3
 
4.6%
5.0 2
 
3.1%
30.0 2
 
3.1%
25.0 2
 
3.1%
7.0 2
 
3.1%
11.0 1
 
1.5%
Other values (18) 18
27.7%
ValueCountFrequency (%)
0.0 23
35.4%
0.8 1
 
1.5%
1.0 3
 
4.6%
1.5 1
 
1.5%
2.0 4
 
6.2%
3.0 5
 
7.7%
5.0 2
 
3.1%
6.0 1
 
1.5%
7.0 2
 
3.1%
8.0 1
 
1.5%
ValueCountFrequency (%)
7892.0 1
1.5%
7193.0 1
1.5%
1946.0 1
1.5%
1000.0 1
1.5%
548.0 1
1.5%
239.0 1
1.5%
207.0 1
1.5%
170.0 1
1.5%
99.0 1
1.5%
75.0 1
1.5%

빗물사용량(5월)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean669.08462
Minimum0
Maximum20879
Zeros20
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:29.132169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q330
95-th percentile1335.2
Maximum20879
Range20879
Interquartile range (IQR)30

Descriptive statistics

Standard deviation3208.3665
Coefficient of variation (CV)4.795158
Kurtosis31.456859
Mean669.08462
Median Absolute Deviation (MAD)6
Skewness5.5852338
Sum43490.5
Variance10293615
MonotonicityNot monotonic
2023-12-11T09:59:29.249125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 20
30.8%
10.0 5
 
7.7%
2.0 4
 
6.2%
1.0 4
 
6.2%
30.0 3
 
4.6%
6.0 3
 
4.6%
3.0 3
 
4.6%
25.0 2
 
3.1%
50.0 1
 
1.5%
16.0 1
 
1.5%
Other values (19) 19
29.2%
ValueCountFrequency (%)
0.0 20
30.8%
1.0 4
 
6.2%
1.5 1
 
1.5%
2.0 4
 
6.2%
3.0 3
 
4.6%
6.0 3
 
4.6%
7.0 1
 
1.5%
8.0 1
 
1.5%
10.0 5
 
7.7%
15.0 1
 
1.5%
ValueCountFrequency (%)
20879.0 1
1.5%
15373.0 1
1.5%
3560.0 1
1.5%
1500.0 1
1.5%
676.0 1
1.5%
327.0 1
1.5%
288.0 1
1.5%
127.0 1
1.5%
112.0 1
1.5%
88.0 1
1.5%

빗물사용량(6월)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.29231
Minimum0
Maximum14903
Zeros17
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:29.604422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q331
95-th percentile1323.8
Maximum14903
Range14903
Interquartile range (IQR)31

Descriptive statistics

Standard deviation2125.2442
Coefficient of variation (CV)4.5382856
Kurtosis35.954675
Mean468.29231
Median Absolute Deviation (MAD)4
Skewness5.789967
Sum30439
Variance4516663.1
MonotonicityNot monotonic
2023-12-11T09:59:29.720888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 17
26.2%
1.0 5
 
7.7%
10.0 4
 
6.2%
3.0 4
 
6.2%
2.0 3
 
4.6%
4.0 2
 
3.1%
20.0 2
 
3.1%
50.0 2
 
3.1%
8.0 2
 
3.1%
19.0 2
 
3.1%
Other values (22) 22
33.8%
ValueCountFrequency (%)
0.0 17
26.2%
0.5 1
 
1.5%
1.0 5
 
7.7%
1.5 1
 
1.5%
2.0 3
 
4.6%
3.0 4
 
6.2%
4.0 2
 
3.1%
7.0 1
 
1.5%
8.0 2
 
3.1%
10.0 4
 
6.2%
ValueCountFrequency (%)
14903.0 1
1.5%
7785.0 1
1.5%
4215.0 1
1.5%
1500.0 1
1.5%
619.0 1
1.5%
362.0 1
1.5%
185.0 1
1.5%
130.0 1
1.5%
100.0 1
1.5%
68.0 1
1.5%

빗물사용량(7월)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.02308
Minimum0
Maximum13362
Zeros19
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:29.853435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q330
95-th percentile970
Maximum13362
Range13362
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1944.8914
Coefficient of variation (CV)4.2836841
Kurtosis32.718551
Mean454.02308
Median Absolute Deviation (MAD)8
Skewness5.5075332
Sum29511.5
Variance3782602.6
MonotonicityNot monotonic
2023-12-11T09:59:29.983907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 19
29.2%
10.0 4
 
6.2%
1.0 4
 
6.2%
2.0 3
 
4.6%
3.0 2
 
3.1%
8.0 2
 
3.1%
80.0 2
 
3.1%
22.0 2
 
3.1%
20.0 2
 
3.1%
60.0 2
 
3.1%
Other values (23) 23
35.4%
ValueCountFrequency (%)
0.0 19
29.2%
1.0 4
 
6.2%
1.5 1
 
1.5%
2.0 3
 
4.6%
3.0 2
 
3.1%
4.0 1
 
1.5%
7.0 1
 
1.5%
8.0 2
 
3.1%
9.0 1
 
1.5%
10.0 4
 
6.2%
ValueCountFrequency (%)
13362.0 1
1.5%
6706.0 1
1.5%
5426.0 1
1.5%
1000.0 1
1.5%
850.0 1
1.5%
785.0 1
1.5%
324.0 1
1.5%
204.0 1
1.5%
111.0 1
1.5%
80.0 2
3.1%

빗물사용량(8월)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.08462
Minimum0
Maximum10093
Zeros19
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:30.107533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q340
95-th percentile978
Maximum10093
Range10093
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1620.8711
Coefficient of variation (CV)4.0922344
Kurtosis25.004224
Mean396.08462
Median Absolute Deviation (MAD)7
Skewness4.9367452
Sum25745.5
Variance2627223.1
MonotonicityNot monotonic
2023-12-11T09:59:30.253383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 19
29.2%
1.0 4
 
6.2%
10.0 3
 
4.6%
3.0 3
 
4.6%
8.0 3
 
4.6%
2.0 3
 
4.6%
16.0 2
 
3.1%
40.0 2
 
3.1%
80.0 2
 
3.1%
20.0 2
 
3.1%
Other values (20) 22
33.8%
ValueCountFrequency (%)
0.0 19
29.2%
1.0 4
 
6.2%
1.5 1
 
1.5%
2.0 3
 
4.6%
3.0 3
 
4.6%
4.0 1
 
1.5%
5.0 1
 
1.5%
7.0 1
 
1.5%
8.0 3
 
4.6%
10.0 3
 
4.6%
ValueCountFrequency (%)
10093.0 1
1.5%
7179.0 1
1.5%
4759.0 1
1.5%
1000.0 1
1.5%
890.0 1
1.5%
603.0 1
1.5%
267.0 1
1.5%
112.0 1
1.5%
90.0 1
1.5%
86.0 1
1.5%

빗물사용량(9월)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.34615
Minimum0
Maximum12412
Zeros21
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:30.370333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile592.8
Maximum12412
Range12412
Interquartile range (IQR)24

Descriptive statistics

Standard deviation2092.6266
Coefficient of variation (CV)4.605798
Kurtosis27.331063
Mean454.34615
Median Absolute Deviation (MAD)3
Skewness5.2563424
Sum29532.5
Variance4379086.1
MonotonicityNot monotonic
2023-12-11T09:59:30.498557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 21
32.3%
1.0 5
 
7.7%
2.0 4
 
6.2%
20.0 4
 
6.2%
10.0 2
 
3.1%
3.0 2
 
3.1%
6.0 2
 
3.1%
60.0 2
 
3.1%
12.0 2
 
3.1%
4.0 1
 
1.5%
Other values (20) 20
30.8%
ValueCountFrequency (%)
0.0 21
32.3%
1.0 5
 
7.7%
1.5 1
 
1.5%
2.0 4
 
6.2%
3.0 2
 
3.1%
4.0 1
 
1.5%
6.0 2
 
3.1%
7.0 1
 
1.5%
8.0 1
 
1.5%
10.0 2
 
3.1%
ValueCountFrequency (%)
12412.0 1
1.5%
11237.0 1
1.5%
3545.0 1
1.5%
616.0 1
1.5%
500.0 1
1.5%
276.0 1
1.5%
201.0 1
1.5%
120.0 1
1.5%
66.0 1
1.5%
60.0 2
3.1%

빗물사용량(10월)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452.08462
Minimum0
Maximum14342
Zeros17
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:30.608466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q320
95-th percentile1085.4
Maximum14342
Range14342
Interquartile range (IQR)20

Descriptive statistics

Standard deviation2177.4447
Coefficient of variation (CV)4.8164539
Kurtosis32.590108
Mean452.08462
Median Absolute Deviation (MAD)5
Skewness5.6912827
Sum29385.5
Variance4741265.5
MonotonicityNot monotonic
2023-12-11T09:59:30.701818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 17
26.2%
2.0 8
12.3%
1.0 5
 
7.7%
30.0 4
 
6.2%
7.0 4
 
6.2%
20.0 3
 
4.6%
10.0 2
 
3.1%
14.0 2
 
3.1%
1.5 1
 
1.5%
14342.0 1
 
1.5%
Other values (18) 18
27.7%
ValueCountFrequency (%)
0.0 17
26.2%
1.0 5
 
7.7%
1.5 1
 
1.5%
2.0 8
12.3%
3.0 1
 
1.5%
5.0 1
 
1.5%
6.0 1
 
1.5%
7.0 4
 
6.2%
9.0 1
 
1.5%
10.0 2
 
3.1%
ValueCountFrequency (%)
14342.0 1
1.5%
10347.0 1
1.5%
1317.0 1
1.5%
1200.0 1
1.5%
627.0 1
1.5%
500.0 1
1.5%
278.0 1
1.5%
243.0 1
1.5%
96.0 1
1.5%
37.0 1
1.5%

빗물사용량(11월)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.73231
Minimum0
Maximum7155
Zeros24
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:30.794502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile1031.8
Maximum7155
Range7155
Interquartile range (IQR)13

Descriptive statistics

Standard deviation1095.3933
Coefficient of variation (CV)4.0913751
Kurtosis27.280397
Mean267.73231
Median Absolute Deviation (MAD)2
Skewness5.0554451
Sum17402.6
Variance1199886.5
MonotonicityNot monotonic
2023-12-11T09:59:30.884630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 24
36.9%
10.0 6
 
9.2%
1.0 5
 
7.7%
2.0 3
 
4.6%
6.0 3
 
4.6%
7.0 2
 
3.1%
20.0 2
 
3.1%
7155.0 1
 
1.5%
500.0 1
 
1.5%
3927.0 1
 
1.5%
Other values (17) 17
26.2%
ValueCountFrequency (%)
0.0 24
36.9%
0.5 1
 
1.5%
0.6 1
 
1.5%
1.0 5
 
7.7%
1.5 1
 
1.5%
2.0 3
 
4.6%
3.0 1
 
1.5%
6.0 3
 
4.6%
7.0 2
 
3.1%
8.0 1
 
1.5%
ValueCountFrequency (%)
7155.0 1
1.5%
3927.0 1
1.5%
3594.0 1
1.5%
1143.0 1
1.5%
587.0 1
1.5%
500.0 1
1.5%
85.0 1
1.5%
55.0 1
1.5%
50.0 1
1.5%
40.0 1
1.5%

빗물사용량(12월)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.269231
Minimum0
Maximum1154
Zeros39
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T09:59:30.980684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile475.2
Maximum1154
Range1154
Interquartile range (IQR)5

Descriptive statistics

Standard deviation183.87744
Coefficient of variation (CV)3.5865068
Kurtosis21.687946
Mean51.269231
Median Absolute Deviation (MAD)0
Skewness4.4246162
Sum3332.5
Variance33810.915
MonotonicityNot monotonic
2023-12-11T09:59:31.072326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 39
60.0%
1.0 4
 
6.2%
10.0 2
 
3.1%
3.0 2
 
3.1%
6.0 2
 
3.1%
20.0 2
 
3.1%
5.0 2
 
3.1%
1154.0 1
 
1.5%
4.0 1
 
1.5%
500.0 1
 
1.5%
Other values (9) 9
 
13.8%
ValueCountFrequency (%)
0.0 39
60.0%
1.0 4
 
6.2%
1.5 1
 
1.5%
2.0 1
 
1.5%
3.0 2
 
3.1%
4.0 1
 
1.5%
5.0 2
 
3.1%
6.0 2
 
3.1%
10.0 2
 
3.1%
14.0 1
 
1.5%
ValueCountFrequency (%)
1154.0 1
1.5%
585.0 1
1.5%
500.0 1
1.5%
493.0 1
1.5%
404.0 1
1.5%
52.0 1
1.5%
20.0 2
3.1%
16.0 1
1.5%
15.0 1
1.5%
14.0 1
1.5%

Sample

연번시군건축물명위치설치비(백만원)연간운영비(백만원_년)빗물저류조 용량(세제곱미터)빗물이용용도법적근거연간 사용량빗물사용량(1월)빗물사용량(2월)빗물사용량(3월)빗물사용량(4월)빗물사용량(5월)빗물사용량(6월)빗물사용량(7월)빗물사용량(8월)빗물사용량(9월)빗물사용량(10월)빗물사용량(11월)빗물사용량(12월)
01창원시북면감계 힐스테이트창원시 의창구 북면 감계 4B 14L570500.0조경용수물재이용법 제10조1항2호120.010.010.010.010.010.010.010.010.010.010.010.010.0
12창원시㈜피앤에이산업개발창원시 의창구 서상동 666-554264.22조경용물재이용법 제10조1항2호160.00.00.00.00.020.020.020.020.020.020.020.020.0
23창원시창원국제사격장창원시 의창구 사림로99번길 63800400.14수세식화장실(소변기)물재이용법 제10조1항2호30.00.00.03.03.03.03.03.03.03.03.03.03.0
34창원시창원 감계아내 에코프리미엄2차창원시 의창구 북면 감계리 232-1750546.0조경용수물재이용법 제10조1항1호의 가51.00.00.05.06.06.07.08.08.06.05.00.00.0
45창원시중동유니시티 1단지창원시 의창구 중동 145번지 중동 유니시티 1단지550760.0조경용수물재이용법 제10조1항2호30.02.02.02.03.03.03.03.03.03.02.02.02.0
56창원시유니시티 4단지창원시 의창구 중동 788번지 창원중동유니시티4단지500600.0조경용수물재이용법 제10조1항5호20.01.01.02.02.02.02.02.02.02.02.01.01.0
67창원시의창동 행정복지센터창원시 의창구 서상로12번길 75<NA>084.0조경용수물재이용법 제10조1항1호의 가12.01.01.01.01.01.01.01.01.01.01.01.01.0
78창원시창원시 의창구청창원시 의창구 원이대로 80 (도계동)360140.0조경용수물재이용법 제10조2항1호18.01.51.51.51.51.51.51.51.51.51.51.51.5
89창원시포레나대원창원시 성산구 창원천로 34(대원동 40)550590.0조경용수물재이용법 제10조1항2호12.01.01.01.01.01.01.01.01.01.01.01.01.0
910창원시한국폴리텍대학창원시 성산구 두대로 229-52 (중앙동 105-3)1380420.0세척.살수용수물재이용법 제10조1항2호724.060.065.070.075.080.0100.080.070.060.030.020.014.0
연번시군건축물명위치설치비(백만원)연간운영비(백만원_년)빗물저류조 용량(세제곱미터)빗물이용용도법적근거연간 사용량빗물사용량(1월)빗물사용량(2월)빗물사용량(3월)빗물사용량(4월)빗물사용량(5월)빗물사용량(6월)빗물사용량(7월)빗물사용량(8월)빗물사용량(9월)빗물사용량(10월)빗물사용량(11월)빗물사용량(12월)
5556창원시자굴산 골프장(의령 리온컨트리클럽)경상남도 의령군 칠곡면 내조리 산113 일원10003048000.0조경용수<NA>74204.0253.0285.03972.07892.015373.07785.06706.04759.012412.010347.03927.0493.0
5657창원시의병문화체육관경상남도 의령군 의령읍 충익로 서동리 529번지1151139.0조경용수<NA>25.00.00.00.00.00.00.00.00.00.00.010.015.0
5758창원시국립습지센터경상남도 창녕군 이방면 이산길 38<NA>1174.0조경용수<NA>0.00.00.00.00.00.00.00.00.00.00.00.00.0
5859창원시고성소방서경상남도 고성군 고성읍 남해안대로 267060190.0청소용수<NA>1200.00.00.00.00.00.00.00.00.00.01200.00.00.0
5960창원시국민체육센터경상남도 고성군 고성읍 송학고분로 193159395.0조경용수<NA>400.00.00.030.030.070.060.080.080.020.030.00.00.0
6061창원시농업기술센터경상남도 고성군 고성읍 남해안대로 2829-6020215336.0조경용수<NA>10000.0500.0500.01000.01000.01500.01500.01000.01000.0500.0500.0500.0500.0
6162창원시하동국민체육센터경상남도 하동군 적량면 공설운동장로 20720060.0조경용수<NA>130.03.04.07.011.016.019.018.016.014.011.07.04.0
6263창원시거창덕유중학교경남 거창군 위천면 남산리 7410060.0조경용수<NA>200.00.00.010.010.030.020.030.040.030.020.010.00.0
6364창원시샛별중학교경남 거창군 거창읍 죽전4길 9230060.0청소.화장실 용수<NA>350.00.00.030.030.050.050.050.050.050.030.010.00.0
6465창원시거창여자고등학교경남 거창군 거창읍 죽전1길 721000200.0조경용수<NA>70.00.00.00.00.00.010.020.040.00.00.00.00.0