Overview

Dataset statistics

Number of variables12
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory104.7 B

Variable types

Text4
Numeric3
Categorical5

Dataset

Description대구광역시 달성군 배수펌프장 현황(배수펌프장명, 주소, 설치년도, 설치목적, 모터펌프규모, 엔진펌프규모 등)안내
URLhttps://www.data.go.kr/data/15021434/fileData.do

Alerts

설치목적 has constant value ""Constant
엔진펌프규모(KW)(HP)×대 has constant value ""Constant
비상발전기(KW(HP)×대) has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치연도 is highly overall correlated with 한전전원공급방식(1회선-2회선)High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
한전전원공급방식(1회선-2회선) is highly overall correlated with 설치연도High correlation
한전전원공급방식(1회선-2회선) is highly imbalanced (57.4%)Imbalance
배수펌프장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:12:27.321885
Analysis finished2023-12-12 03:12:29.400114
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

배수펌프장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:12:29.580111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3913043
Min length5

Characters and Unicode

Total characters124
Distinct characters34
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row현내배수장
2nd row감문배수장
3rd row묘리배수장
4th row동곡배수장
5th row하산배수장
ValueCountFrequency (%)
현내배수장 1
 
4.3%
서재간이배수장 1
 
4.3%
대암배수장 1
 
4.3%
내리배수장 1
 
4.3%
징리배수장 1
 
4.3%
오설배수장 1
 
4.3%
도동배수장 1
 
4.3%
자모배수장 1
 
4.3%
성하배수장 1
 
4.3%
하리배수장 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T12:12:30.030148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
배 23
18.5%
수 23
18.5%
장 23
18.5%
리 5
 
4.0%
하 4
 
3.2%
시 3
 
2.4%
곡 3
 
2.4%
상 3
 
2.4%
촌 2
 
1.6%
재 2
 
1.6%
Other values (24) 33
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
99.2%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 23
18.7%
수 23
18.7%
장 23
18.7%
리 5
 
4.1%
하 4
 
3.3%
시 3
 
2.4%
곡 3
 
2.4%
상 3
 
2.4%
촌 2
 
1.6%
재 2
 
1.6%
Other values (23) 32
26.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 23
18.7%
수 23
18.7%
장 23
18.7%
리 5
 
4.1%
하 4
 
3.3%
시 3
 
2.4%
곡 3
 
2.4%
상 3
 
2.4%
촌 2
 
1.6%
재 2
 
1.6%
Other values (23) 32
26.0%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
배 23
18.7%
수 23
18.7%
장 23
18.7%
리 5
 
4.1%
하 4
 
3.3%
시 3
 
2.4%
곡 3
 
2.4%
상 3
 
2.4%
촌 2
 
1.6%
재 2
 
1.6%
Other values (23) 32
26.0%
ASCII
ValueCountFrequency (%)
2 1
100.0%

소재지지번주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:12:30.278120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.347826
Min length20

Characters and Unicode

Total characters514
Distinct characters52
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

Unique21 ?
Unique (%)91.3%

Sample

1st row대구광역시 달성군 하빈면 현내리 601-2
2nd row대구광역시 달성군 하빈면 감문리 363-2
3rd row대구광역시 달성군 하빈면 묘리 1003-5
4th row대구광역시 달성군 하빈면 동곡리 366-2
5th row대구광역시 달성군 하빈면 하산리 947-45
ValueCountFrequency (%)
대구광역시 23
20.0%
달성군 23
20.0%
하빈면 8
 
7.0%
구지면 6
 
5.2%
다사읍 5
 
4.3%
동곡리 4
 
3.5%
매곡리 2
 
1.7%
1167 2
 
1.7%
대암리 2
 
1.7%
현풍면 2
 
1.7%
Other values (37) 38
33.0%
2023-12-12T12:12:30.655694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
17.9%
구 29
 
5.6%
대 25
 
4.9%
성 24
 
4.7%
리 24
 
4.7%
광 23
 
4.5%
역 23
 
4.5%
시 23
 
4.5%
달 23
 
4.5%
군 23
 
4.5%
Other values (42) 205
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
61.9%
Space Separator 92
 
17.9%
Decimal Number 89
 
17.3%
Dash Punctuation 15
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 29
 
9.1%
대 25
 
7.9%
성 24
 
7.5%
리 24
 
7.5%
광 23
 
7.2%
역 23
 
7.2%
시 23
 
7.2%
달 23
 
7.2%
군 23
 
7.2%
면 17
 
5.3%
Other values (30) 84
26.4%
Decimal Number
ValueCountFrequency (%)
1 16
18.0%
2 13
14.6%
3 12
13.5%
7 10
11.2%
5 9
10.1%
6 8
9.0%
0 6
 
6.7%
9 6
 
6.7%
4 5
 
5.6%
8 4
 
4.5%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
61.9%
Common 196
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 29
 
9.1%
대 25
 
7.9%
성 24
 
7.5%
리 24
 
7.5%
광 23
 
7.2%
역 23
 
7.2%
시 23
 
7.2%
달 23
 
7.2%
군 23
 
7.2%
면 17
 
5.3%
Other values (30) 84
26.4%
Common
ValueCountFrequency (%)
92
46.9%
1 16
 
8.2%
- 15
 
7.7%
2 13
 
6.6%
3 12
 
6.1%
7 10
 
5.1%
5 9
 
4.6%
6 8
 
4.1%
0 6
 
3.1%
9 6
 
3.1%
Other values (2) 9
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
61.9%
ASCII 196
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
46.9%
1 16
 
8.2%
- 15
 
7.7%
2 13
 
6.6%
3 12
 
6.1%
7 10
 
5.1%
5 9
 
4.6%
6 8
 
4.1%
0 6
 
3.1%
9 6
 
3.1%
Other values (2) 9
 
4.6%
Hangul
ValueCountFrequency (%)
구 29
 
9.1%
대 25
 
7.9%
성 24
 
7.5%
리 24
 
7.5%
광 23
 
7.2%
역 23
 
7.2%
시 23
 
7.2%
달 23
 
7.2%
군 23
 
7.2%
면 17
 
5.3%
Other values (30) 84
26.4%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.5652
Minimum1986
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T12:12:30.802094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1999
Q12000.5
median2004
Q32008
95-th percentile2013
Maximum2013
Range27
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.2145437
Coefficient of variation (CV)0.0031001953
Kurtosis2.2600264
Mean2004.5652
Median Absolute Deviation (MAD)4
Skewness-0.98274547
Sum46105
Variance38.620553
MonotonicityNot monotonic
2023-12-12T12:12:30.915922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1999 4
17.4%
2004 3
13.0%
2013 3
13.0%
2007 3
13.0%
2003 2
8.7%
2008 2
8.7%
2012 1
 
4.3%
2010 1
 
4.3%
1986 1
 
4.3%
2000 1
 
4.3%
Other values (2) 2
8.7%
ValueCountFrequency (%)
1986 1
 
4.3%
1999 4
17.4%
2000 1
 
4.3%
2001 1
 
4.3%
2003 2
8.7%
2004 3
13.0%
2006 1
 
4.3%
2007 3
13.0%
2008 2
8.7%
2010 1
 
4.3%
ValueCountFrequency (%)
2013 3
13.0%
2012 1
 
4.3%
2010 1
 
4.3%
2008 2
8.7%
2007 3
13.0%
2006 1
 
4.3%
2004 3
13.0%
2003 2
8.7%
2001 1
 
4.3%
2000 1
 
4.3%

설치목적
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
배주장의 효율적 가동 및 농경지 침수피해 최소화
23 

Length

Max length26
Median length26
Mean length26
Min length26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배주장의 효율적 가동 및 농경지 침수피해 최소화
2nd row배주장의 효율적 가동 및 농경지 침수피해 최소화
3rd row배주장의 효율적 가동 및 농경지 침수피해 최소화
4th row배주장의 효율적 가동 및 농경지 침수피해 최소화
5th row배주장의 효율적 가동 및 농경지 침수피해 최소화

Common Values

ValueCountFrequency (%)
배주장의 효율적 가동 및 농경지 침수피해 최소화 23
100.0%

Length

2023-12-12T12:12:31.059159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:31.151165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배주장의 23
14.3%
효율적 23
14.3%
가동 23
14.3%
및 23
14.3%
농경지 23
14.3%
침수피해 23
14.3%
최소화 23
14.3%

모터펌프규모(KW)(HP)×대
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:12:31.322567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length11
Min length7

Characters and Unicode

Total characters253
Distinct characters15
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)69.6%

Sample

1st row125HP×2대, 50HP×1대
2nd row200HP×3대
3rd row150HP×2대
4th row200HP×3대, 100HP×1대
5th row150HP×3대, 75HP×1대
ValueCountFrequency (%)
50hp×2대 5
16.1%
50hp×1대 3
 
9.7%
200hp×3대 2
 
6.5%
75hp×1대 2
 
6.5%
200hp×2대 2
 
6.5%
350hp×3대 2
 
6.5%
40hp×2대 2
 
6.5%
125hp×2대 1
 
3.2%
60hp×2대 1
 
3.2%
100hp×3대 1
 
3.2%
Other values (10) 10
32.3%
2023-12-12T12:12:31.676209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
13.8%
H 31
12.3%
P 31
12.3%
× 31
12.3%
대 31
12.3%
2 23
9.1%
5 20
7.9%
1 14
 
5.5%
3 11
 
4.3%
, 10
 
4.0%
Other values (5) 16
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111
43.9%
Uppercase Letter 62
24.5%
Math Symbol 31
 
12.3%
Other Letter 31
 
12.3%
Other Punctuation 10
 
4.0%
Space Separator 8
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
31.5%
2 23
20.7%
5 20
18.0%
1 14
 
12.6%
3 11
 
9.9%
7 4
 
3.6%
4 2
 
1.8%
9 1
 
0.9%
6 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 31
50.0%
P 31
50.0%
Math Symbol
ValueCountFrequency (%)
× 31
100.0%
Other Letter
ValueCountFrequency (%)
대 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
63.2%
Latin 62
 
24.5%
Hangul 31
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35
21.9%
× 31
19.4%
2 23
14.4%
5 20
12.5%
1 14
 
8.8%
3 11
 
6.9%
, 10
 
6.2%
8
 
5.0%
7 4
 
2.5%
4 2
 
1.2%
Other values (2) 2
 
1.2%
Latin
ValueCountFrequency (%)
H 31
50.0%
P 31
50.0%
Hangul
ValueCountFrequency (%)
대 31
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
75.5%
None 31
 
12.3%
Hangul 31
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
18.3%
H 31
16.2%
P 31
16.2%
2 23
12.0%
5 20
10.5%
1 14
 
7.3%
3 11
 
5.8%
, 10
 
5.2%
8
 
4.2%
7 4
 
2.1%
Other values (3) 4
 
2.1%
None
ValueCountFrequency (%)
× 31
100.0%
Hangul
ValueCountFrequency (%)
대 31
100.0%

엔진펌프규모(KW)(HP)×대
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
해당없음
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 23
100.0%

Length

2023-12-12T12:12:31.935462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:32.068369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 23
100.0%

한전전원공급방식(1회선-2회선)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1회선
21 
2회선
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1회선
2nd row1회선
3rd row1회선
4th row1회선
5th row1회선

Common Values

ValueCountFrequency (%)
1회선 21
91.3%
2회선 2
 
8.7%

Length

2023-12-12T12:12:32.225919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:32.368768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1회선 21
91.3%
2회선 2
 
8.7%

비상발전기(KW(HP)×대)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
해당없음
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 23
100.0%

Length

2023-12-12T12:12:32.527321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:32.651115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 23
100.0%

한전계약전력(KW)고압-저압
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:12:32.889284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.869565
Min length12

Characters and Unicode

Total characters296
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row400KW(22.9KV)
2nd row600KW(22.9KV)
3rd row380KW(22.9KV)
4th row830KW(22.9KV)
5th row650KW(22.9KV)
ValueCountFrequency (%)
1230kw(22.9kv 2
 
8.7%
150kw(22.9kv 2
 
8.7%
74kw(0.38kv 1
 
4.3%
400kw(22.9kv 1
 
4.3%
73kw(0.38kv 1
 
4.3%
250kw(22.9kv 1
 
4.3%
90kw(0.38kv 1
 
4.3%
98kw(0.38kv 1
 
4.3%
850kw(22.9kv 1
 
4.3%
1540kw(22.9kv 1
 
4.3%
Other values (11) 11
47.8%
2023-12-12T12:12:33.455562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 46
15.5%
2 35
11.8%
0 27
9.1%
W 23
7.8%
( 23
7.8%
. 23
7.8%
V 23
7.8%
) 23
7.8%
9 19
6.4%
3 15
 
5.1%
Other values (6) 39
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
45.6%
Uppercase Letter 92
31.1%
Open Punctuation 23
 
7.8%
Other Punctuation 23
 
7.8%
Close Punctuation 23
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 35
25.9%
0 27
20.0%
9 19
14.1%
3 15
11.1%
8 12
 
8.9%
5 10
 
7.4%
1 5
 
3.7%
4 5
 
3.7%
7 4
 
3.0%
6 3
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
K 46
50.0%
W 23
25.0%
V 23
25.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
68.9%
Latin 92
31.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 35
17.2%
0 27
13.2%
( 23
11.3%
. 23
11.3%
) 23
11.3%
9 19
9.3%
3 15
7.4%
8 12
 
5.9%
5 10
 
4.9%
1 5
 
2.5%
Other values (3) 12
 
5.9%
Latin
ValueCountFrequency (%)
K 46
50.0%
W 23
25.0%
V 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 46
15.5%
2 35
11.8%
0 27
9.1%
W 23
7.8%
( 23
7.8%
. 23
7.8%
V 23
7.8%
) 23
7.8%
9 19
6.4%
3 15
 
5.1%
Other values (6) 39
13.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.789893
Minimum35.61349
Maximum35.904542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T12:12:33.674751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.61349
5-th percentile35.622907
Q135.696167
median35.84975
Q335.876311
95-th percentile35.893467
Maximum35.904542
Range0.2910519
Interquartile range (IQR)0.18014375

Descriptive statistics

Standard deviation0.1026306
Coefficient of variation (CV)0.0028675862
Kurtosis-1.4291537
Mean35.789893
Median Absolute Deviation (MAD)0.0438408
Skewness-0.55312081
Sum823.16755
Variance0.010533041
MonotonicityNot monotonic
2023-12-12T12:12:33.836767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
35.8497504 2
 
8.7%
35.904542 1
 
4.3%
35.8037082 1
 
4.3%
35.6134901 1
 
4.3%
35.6218028 1
 
4.3%
35.6328462 1
 
4.3%
35.6649718 1
 
4.3%
35.676747 1
 
4.3%
35.6952299 1
 
4.3%
35.6976438 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
35.6134901 1
4.3%
35.6218028 1
4.3%
35.6328462 1
4.3%
35.6649718 1
4.3%
35.676747 1
4.3%
35.6952299 1
4.3%
35.6971039 1
4.3%
35.6976438 1
4.3%
35.7379731 1
4.3%
35.8037082 1
4.3%
ValueCountFrequency (%)
35.904542 1
4.3%
35.8935912 1
4.3%
35.892349 1
4.3%
35.8819827 1
4.3%
35.8810639 1
4.3%
35.8773235 1
4.3%
35.8752978 1
4.3%
35.8570162 1
4.3%
35.8565787 1
4.3%
35.8553441 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.419
Minimum128.35569
Maximum128.49694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T12:12:34.034781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.35569
5-th percentile128.36804
Q1128.40008
median128.41214
Q3128.43627
95-th percentile128.48273
Maximum128.49694
Range0.1412413
Interquartile range (IQR)0.03619055

Descriptive statistics

Standard deviation0.034623757
Coefficient of variation (CV)0.00026961553
Kurtosis0.26527919
Mean128.419
Median Absolute Deviation (MAD)0.0223594
Skewness0.45574354
Sum2953.637
Variance0.0011988046
MonotonicityNot monotonic
2023-12-12T12:12:34.211461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
128.447336 2
 
8.7%
128.438054 1
 
4.3%
128.4652629 1
 
4.3%
128.3895131 1
 
4.3%
128.396728 1
 
4.3%
128.4034409 1
 
4.3%
128.3802157 1
 
4.3%
128.3666847 1
 
4.3%
128.3556946 1
 
4.3%
128.3871951 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
128.3556946 1
4.3%
128.3666847 1
4.3%
128.3802157 1
4.3%
128.3871951 1
4.3%
128.3895131 1
4.3%
128.396728 1
4.3%
128.4034409 1
4.3%
128.4044309 1
4.3%
128.4086899 1
4.3%
128.4091441 1
4.3%
ValueCountFrequency (%)
128.4969359 1
4.3%
128.4846692 1
4.3%
128.4652629 1
4.3%
128.447336 2
8.7%
128.438054 1
4.3%
128.434496 1
4.3%
128.4312507 1
4.3%
128.4261689 1
4.3%
128.4238158 1
4.3%
128.417823 1
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-25
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 23
100.0%

Length

2023-12-12T12:12:34.375390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:34.479975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 23
100.0%

Interactions

2023-12-12T12:12:28.501952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:27.752217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:28.100221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:28.646703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:27.850655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:28.230143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:28.799502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:27.966094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:28.361777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:12:34.554452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배수펌프장명소재지지번주소설치연도모터펌프규모(KW)(HP)×대한전전원공급방식(1회선-2회선)한전계약전력(KW)고압-저압위도경도
배수펌프장명1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0000.8960.9181.0000.9531.0001.000
설치연도1.0000.8961.0000.3130.9040.3100.5650.513
모터펌프규모(KW)(HP)×대1.0000.9180.3131.0000.0001.0000.6010.790
한전전원공급방식(1회선-2회선)1.0001.0000.9040.0001.0000.0000.0000.000
한전계약전력(KW)고압-저압1.0000.9530.3101.0000.0001.0000.0000.734
위도1.0001.0000.5650.6010.0000.0001.0000.793
경도1.0001.0000.5130.7900.0000.7340.7931.000
2023-12-12T12:12:35.020604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도위도경도한전전원공급방식(1회선-2회선)
설치연도1.0000.345-0.0180.616
위도0.3451.0000.5700.000
경도-0.0180.5701.0000.000
한전전원공급방식(1회선-2회선)0.6160.0000.0001.000

Missing values

2023-12-12T12:12:29.016220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:12:29.287537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

배수펌프장명소재지지번주소설치연도설치목적모터펌프규모(KW)(HP)×대엔진펌프규모(KW)(HP)×대한전전원공급방식(1회선-2회선)비상발전기(KW(HP)×대)한전계약전력(KW)고압-저압위도경도데이터기준일자
0현내배수장대구광역시 달성군 하빈면 현내리 601-22012배주장의 효율적 가동 및 농경지 침수피해 최소화125HP×2대, 50HP×1대해당없음1회선해당없음400KW(22.9KV)35.904542128.4380542023-08-25
1감문배수장대구광역시 달성군 하빈면 감문리 363-22003배주장의 효율적 가동 및 농경지 침수피해 최소화200HP×3대해당없음1회선해당없음600KW(22.9KV)35.893591128.4261692023-08-25
2묘리배수장대구광역시 달성군 하빈면 묘리 1003-52004배주장의 효율적 가동 및 농경지 침수피해 최소화150HP×2대해당없음1회선해당없음380KW(22.9KV)35.892349128.4238162023-08-25
3동곡배수장대구광역시 달성군 하빈면 동곡리 366-22004배주장의 효율적 가동 및 농경지 침수피해 최소화200HP×3대, 100HP×1대해당없음1회선해당없음830KW(22.9KV)35.881983128.4121372023-08-25
4하산배수장대구광역시 달성군 하빈면 하산리 947-452010배주장의 효율적 가동 및 농경지 침수피해 최소화150HP×3대, 75HP×1대해당없음1회선해당없음650KW(22.9KV)35.881064128.4099852023-08-25
5봉촌배수장대구광역시 달성군 하빈면 동곡리 10222008배주장의 효율적 가동 및 농경지 침수피해 최소화350HP×3대해당없음2회선해당없음1230KW(22.9KV)35.855344128.4044312023-08-25
6하빈배수장대구광역시 달성군 하빈면 동곡리 9812008배주장의 효율적 가동 및 농경지 침수피해 최소화900HP×5대해당없음2회선해당없음7000KW(22.9KV)35.856579128.408692023-08-25
7봉촌상시배수장대구광역시 달성군 하빈면 동곡리 978-12013배주장의 효율적 가동 및 농경지 침수피해 최소화175HP×3대해당없음1회선해당없음325KW(0.38KV)35.857016128.4091442023-08-25
8문산상시배수장대구광역시 달성군 다사읍 문산리 1632013배주장의 효율적 가동 및 농경지 침수피해 최소화255HP×2대해당없음1회선해당없음240KW(22.9KV)35.851443128.4344962023-08-25
9매곡배수장대구광역시 달성군 다사읍 매곡리 11671999배주장의 효율적 가동 및 농경지 침수피해 최소화270HP×2대해당없음1회선해당없음435KW(22.9KV)35.84975128.4473362023-08-25
배수펌프장명소재지지번주소설치연도설치목적모터펌프규모(KW)(HP)×대엔진펌프규모(KW)(HP)×대한전전원공급방식(1회선-2회선)비상발전기(KW(HP)×대)한전계약전력(KW)고압-저압위도경도데이터기준일자
13본리배수장대구광역시 달성군 옥포면 본리리 5-11986배주장의 효율적 가동 및 농경지 침수피해 최소화75HP×1대, 50HP×1대,해당없음1회선해당없음69KW(0.38KV)35.803708128.4652632023-08-25
14하리배수장대구광역시 달성군 논공읍 하리 7551999배주장의 효율적 가동 및 농경지 침수피해 최소화200HP×2대, 300HP×1대,, 350HP×2대해당없음1회선해당없음1540KW(22.9KV)35.737973128.4178232023-08-25
15성하배수장대구광역시 달성군 현풍면 성하리 632-12000배주장의 효율적 가동 및 농경지 침수피해 최소화50HP×2대해당없음1회선해당없음150KW(22.9KV)35.697104128.4312512023-08-25
16자모배수장대구광역시 달성군 현풍면 자모리 9221999배주장의 효율적 가동 및 농경지 침수피해 최소화200HP×2대, 100HP×3대해당없음1회선해당없음850KW(22.9KV)35.697644128.3871952023-08-25
17도동배수장대구광역시 달성군 구지면 도동리 254-32004배주장의 효율적 가동 및 농경지 침수피해 최소화50HP×2대해당없음1회선해당없음98KW(0.38KV)35.69523128.3556952023-08-25
18오설배수장대구광역시 달성군 구지면 오설리 7212007배주장의 효율적 가동 및 농경지 침수피해 최소화40HP×2대해당없음1회선해당없음90KW(0.38KV)35.676747128.3666852023-08-25
19징리배수장대구광역시 달성군 구지면 징리 294-52007배주장의 효율적 가동 및 농경지 침수피해 최소화350HP×3대해당없음1회선해당없음1230KW(22.9KV)35.664972128.3802162023-08-25
20내리배수장대구광역시 달성군 구지면 내리 773-32001배주장의 효율적 가동 및 농경지 침수피해 최소화100HP×2대해당없음1회선해당없음250KW(22.9KV)35.632846128.4034412023-08-25
21대암배수장대구광역시 달성군 구지면 대암리 570-31999배주장의 효율적 가동 및 농경지 침수피해 최소화50HP×2대해당없음1회선해당없음150KW(22.9KV)35.621803128.3967282023-08-25
22대암2배수장대구광역시 달성군 구지면 대암리 758-12006배주장의 효율적 가동 및 농경지 침수피해 최소화50HP×2대해당없음1회선해당없음95KW(0.38KV)35.61349128.3895132023-08-25