Overview

Dataset statistics

Number of variables10
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory87.9 B

Variable types

Numeric5
Text3
Categorical2

Dataset

Description부산광역시_연제구_민방위_비상급수시설현황_20200110
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15028596

Alerts

연번 is highly overall correlated with 시설구분High correlation
우편번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 우편번호High correlation
경도 is highly overall correlated with 우편번호High correlation
시설구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:06:09.975047
Analysis finished2023-12-10 16:06:13.792623
Duration3.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:13.878388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-11T01:06:14.044621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

시설명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:06:14.354480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.9565217
Min length3

Characters and Unicode

Total characters320
Distinct characters99
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row부산교육대학교
2nd row창신초등학교
3rd row쌍미공원
4th row연제초등학교(A)
5th row새싹어린이공원
ValueCountFrequency (%)
부산교육대학교 1
 
2.1%
개인택시조합(b 1
 
2.1%
연산선경아파트 1
 
2.1%
부전타워아파트 1
 
2.1%
부산의료원 1
 
2.1%
국가기록원 1
 
2.1%
역사기록관 1
 
2.1%
아시아드주경기장 1
 
2.1%
연산중학교 1
 
2.1%
연동초등학교 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T01:06:14.771786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 17
 
5.3%
파 15
 
4.7%
트 14
 
4.4%
교 13
 
4.1%
학 13
 
4.1%
( 13
 
4.1%
) 13
 
4.1%
연 12
 
3.8%
산 12
 
3.8%
등 8
 
2.5%
Other values (89) 190
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
87.2%
Open Punctuation 13
 
4.1%
Close Punctuation 13
 
4.1%
Uppercase Letter 13
 
4.1%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 17
 
6.1%
파 15
 
5.4%
트 14
 
5.0%
교 13
 
4.7%
학 13
 
4.7%
연 12
 
4.3%
산 12
 
4.3%
등 8
 
2.9%
원 8
 
2.9%
초 7
 
2.5%
Other values (84) 160
57.3%
Uppercase Letter
ValueCountFrequency (%)
A 7
53.8%
B 6
46.2%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
87.2%
Common 28
 
8.8%
Latin 13
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 17
 
6.1%
파 15
 
5.4%
트 14
 
5.0%
교 13
 
4.7%
학 13
 
4.7%
연 12
 
4.3%
산 12
 
4.3%
등 8
 
2.9%
원 8
 
2.9%
초 7
 
2.5%
Other values (84) 160
57.3%
Common
ValueCountFrequency (%)
( 13
46.4%
) 13
46.4%
2
 
7.1%
Latin
ValueCountFrequency (%)
A 7
53.8%
B 6
46.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
87.2%
ASCII 41
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 17
 
6.1%
파 15
 
5.4%
트 14
 
5.0%
교 13
 
4.7%
학 13
 
4.7%
연 12
 
4.3%
산 12
 
4.3%
등 8
 
2.9%
원 8
 
2.9%
초 7
 
2.5%
Other values (84) 160
57.3%
ASCII
ValueCountFrequency (%)
( 13
31.7%
) 13
31.7%
A 7
17.1%
B 6
14.6%
2
 
4.9%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47567.37
Minimum47500
Maximum47613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:14.924672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47500
5-th percentile47501.5
Q147541
median47582.5
Q347587.5
95-th percentile47609.75
Maximum47613
Range113
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation33.097404
Coefficient of variation (CV)0.0006958006
Kurtosis-0.67322074
Mean47567.37
Median Absolute Deviation (MAD)22
Skewness-0.64853252
Sum2188099
Variance1095.4382
MonotonicityNot monotonic
2023-12-11T01:06:15.057855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
47583 6
 
13.0%
47527 4
 
8.7%
47579 3
 
6.5%
47529 2
 
4.3%
47589 2
 
4.3%
47585 2
 
4.3%
47541 2
 
4.3%
47613 2
 
4.3%
47586 2
 
4.3%
47500 2
 
4.3%
Other values (18) 19
41.3%
ValueCountFrequency (%)
47500 2
4.3%
47501 1
 
2.2%
47503 1
 
2.2%
47527 4
8.7%
47529 2
4.3%
47532 1
 
2.2%
47541 2
4.3%
47543 1
 
2.2%
47553 1
 
2.2%
47557 1
 
2.2%
ValueCountFrequency (%)
47613 2
4.3%
47610 1
2.2%
47609 2
4.3%
47607 1
2.2%
47602 1
2.2%
47594 1
2.2%
47590 1
2.2%
47589 2
4.3%
47588 1
2.2%
47586 2
4.3%

도로명주소
Text

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:06:15.315294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length24.391304
Min length1

Characters and Unicode

Total characters1122
Distinct characters86
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)63.0%

Sample

1st row
2nd row부산광역시 연제구 종합운동장로12번길 15, (거제동)
3rd row부산광역시 연제구 쌍미천로 172, (연산동)
4th row부산광역시 연제구 중앙대로1065번길 14, (연산동)
5th row
ValueCountFrequency (%)
부산광역시 41
18.8%
연제구 41
18.8%
연산동 33
15.1%
고분로 9
 
4.1%
거제동 8
 
3.7%
월드컵대로 4
 
1.8%
쌍미천로 3
 
1.4%
화지로 3
 
1.4%
중앙대로1065번길 2
 
0.9%
토곡로 2
 
0.9%
Other values (61) 72
33.0%
2023-12-11T01:06:15.696574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
16.2%
산 79
 
7.0%
연 78
 
7.0%
, 54
 
4.8%
제 52
 
4.6%
동 43
 
3.8%
구 42
 
3.7%
부 42
 
3.7%
시 41
 
3.7%
) 41
 
3.7%
Other values (76) 468
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
59.8%
Space Separator 182
 
16.2%
Decimal Number 130
 
11.6%
Other Punctuation 54
 
4.8%
Close Punctuation 41
 
3.7%
Open Punctuation 41
 
3.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 79
11.8%
연 78
11.6%
제 52
 
7.7%
동 43
 
6.4%
구 42
 
6.3%
부 42
 
6.3%
시 41
 
6.1%
로 41
 
6.1%
역 41
 
6.1%
광 41
 
6.1%
Other values (61) 171
25.5%
Decimal Number
ValueCountFrequency (%)
1 33
25.4%
2 15
11.5%
4 14
10.8%
0 13
 
10.0%
9 11
 
8.5%
3 11
 
8.5%
6 11
 
8.5%
7 9
 
6.9%
5 8
 
6.2%
8 5
 
3.8%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
59.8%
Common 451
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 79
11.8%
연 78
11.6%
제 52
 
7.7%
동 43
 
6.4%
구 42
 
6.3%
부 42
 
6.3%
시 41
 
6.1%
로 41
 
6.1%
역 41
 
6.1%
광 41
 
6.1%
Other values (61) 171
25.5%
Common
ValueCountFrequency (%)
182
40.4%
, 54
 
12.0%
) 41
 
9.1%
( 41
 
9.1%
1 33
 
7.3%
2 15
 
3.3%
4 14
 
3.1%
0 13
 
2.9%
9 11
 
2.4%
3 11
 
2.4%
Other values (5) 36
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
59.8%
ASCII 451
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
40.4%
, 54
 
12.0%
) 41
 
9.1%
( 41
 
9.1%
1 33
 
7.3%
2 15
 
3.3%
4 14
 
3.1%
0 13
 
2.9%
9 11
 
2.4%
3 11
 
2.4%
Other values (5) 36
 
8.0%
Hangul
ValueCountFrequency (%)
산 79
11.8%
연 78
11.6%
제 52
 
7.7%
동 43
 
6.4%
구 42
 
6.3%
부 42
 
6.3%
시 41
 
6.1%
로 41
 
6.1%
역 41
 
6.1%
광 41
 
6.1%
Other values (61) 171
25.5%

지번주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:06:15.907544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.478261
Min length20

Characters and Unicode

Total characters1080
Distinct characters56
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

Unique34 ?
Unique (%)73.9%

Sample

1st row부산광역시 연제구 거제동 263번지
2nd row부산광역시 연제구 거제동 897-3번지
3rd row부산광역시 연제구 연산동 2275번지
4th row부산광역시 연제구 연산동 1300번지
5th row부산광역시 연제구 연산동 2132-1번지
ValueCountFrequency (%)
부산광역시 46
23.4%
연제구 46
23.4%
연산동 34
17.3%
거제동 12
 
6.1%
연산엘지 2
 
1.0%
산182번지 2
 
1.0%
801-89번지 2
 
1.0%
1300번지 2
 
1.0%
243-18번지 2
 
1.0%
1368번지 2
 
1.0%
Other values (46) 47
23.9%
2023-12-11T01:06:16.291796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
18.2%
산 85
 
7.9%
연 82
 
7.6%
제 60
 
5.6%
지 49
 
4.5%
부 47
 
4.4%
구 47
 
4.4%
동 47
 
4.4%
번 46
 
4.3%
시 46
 
4.3%
Other values (46) 374
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
60.6%
Decimal Number 200
 
18.5%
Space Separator 197
 
18.2%
Dash Punctuation 29
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 85
13.0%
연 82
12.5%
제 60
9.2%
지 49
7.5%
부 47
7.2%
구 47
7.2%
동 47
7.2%
번 46
7.0%
시 46
7.0%
역 46
7.0%
Other values (34) 99
15.1%
Decimal Number
ValueCountFrequency (%)
1 41
20.5%
3 26
13.0%
8 24
12.0%
2 23
11.5%
7 21
10.5%
0 17
8.5%
4 14
 
7.0%
9 13
 
6.5%
5 11
 
5.5%
6 10
 
5.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
60.6%
Common 426
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 85
13.0%
연 82
12.5%
제 60
9.2%
지 49
7.5%
부 47
7.2%
구 47
7.2%
동 47
7.2%
번 46
7.0%
시 46
7.0%
역 46
7.0%
Other values (34) 99
15.1%
Common
ValueCountFrequency (%)
197
46.2%
1 41
 
9.6%
- 29
 
6.8%
3 26
 
6.1%
8 24
 
5.6%
2 23
 
5.4%
7 21
 
4.9%
0 17
 
4.0%
4 14
 
3.3%
9 13
 
3.1%
Other values (2) 21
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
60.6%
ASCII 426
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
46.2%
1 41
 
9.6%
- 29
 
6.8%
3 26
 
6.1%
8 24
 
5.6%
2 23
 
5.4%
7 21
 
4.9%
0 17
 
4.0%
4 14
 
3.3%
9 13
 
3.1%
Other values (2) 21
 
4.9%
Hangul
ValueCountFrequency (%)
산 85
13.0%
연 82
12.5%
제 60
9.2%
지 49
7.5%
부 47
7.2%
구 47
7.2%
동 47
7.2%
번 46
7.0%
시 46
7.0%
역 46
7.0%
Other values (34) 99
15.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.182256
Minimum35.163827
Maximum35.195736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:16.450931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.163827
5-th percentile35.166391
Q135.178706
median35.18405
Q335.185429
95-th percentile35.190928
Maximum35.195736
Range0.03190976
Interquartile range (IQR)0.0067232675

Descriptive statistics

Standard deviation0.0067057386
Coefficient of variation (CV)0.00019060002
Kurtosis1.8957667
Mean35.182256
Median Absolute Deviation (MAD)0.00195992
Skewness-1.14272
Sum1618.3838
Variance4.496693 × 10-5
MonotonicityNot monotonic
2023-12-11T01:06:16.633458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
35.18542909 2
 
4.3%
35.18405049 2
 
4.3%
35.18601041 2
 
4.3%
35.18408872 2
 
4.3%
35.1852124 2
 
4.3%
35.16422649 2
 
4.3%
35.19573642 1
 
2.2%
35.1911086 1
 
2.2%
35.18486107 1
 
2.2%
35.18415378 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
35.16382666 1
2.2%
35.16422649 2
4.3%
35.17288586 1
2.2%
35.17353965 1
2.2%
35.17492326 1
2.2%
35.17559743 1
2.2%
35.17740455 1
2.2%
35.17763371 1
2.2%
35.1781724 1
2.2%
35.17828265 1
2.2%
ValueCountFrequency (%)
35.19573642 1
2.2%
35.19281042 1
2.2%
35.1911086 1
2.2%
35.19038785 1
2.2%
35.18787616 1
2.2%
35.18780185 1
2.2%
35.1869474 1
2.2%
35.1862175 1
2.2%
35.18601041 2
4.3%
35.18574224 1
2.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08585
Minimum129.05326
Maximum129.11106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:16.807487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05326
5-th percentile129.0566
Q1129.07603
median129.0883
Q3129.09966
95-th percentile129.10622
Maximum129.11106
Range0.0578026
Interquartile range (IQR)0.023628725

Descriptive statistics

Standard deviation0.016152751
Coefficient of variation (CV)0.00012513185
Kurtosis-0.78588076
Mean129.08585
Median Absolute Deviation (MAD)0.012364
Skewness-0.48636441
Sum5937.949
Variance0.00026091137
MonotonicityNot monotonic
2023-12-11T01:06:16.974259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
129.1009549 2
 
4.3%
129.0778797 2
 
4.3%
129.0559793 2
 
4.3%
129.1046149 2
 
4.3%
129.0657737 2
 
4.3%
129.082195 2
 
4.3%
129.0754098 1
 
2.2%
129.058461 1
 
2.2%
129.0890236 1
 
2.2%
129.087488 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
129.053258 1
2.2%
129.0559793 2
4.3%
129.058461 1
2.2%
129.0601528 1
2.2%
129.0613936 1
2.2%
129.0657737 2
4.3%
129.0658511 1
2.2%
129.0659249 1
2.2%
129.0732132 1
2.2%
129.0754098 1
2.2%
ValueCountFrequency (%)
129.1110606 1
2.2%
129.1090913 1
2.2%
129.1063492 1
2.2%
129.1058124 1
2.2%
129.1055326 1
2.2%
129.1046149 2
4.3%
129.1012117 1
2.2%
129.1009549 2
4.3%
129.1008374 1
2.2%
129.1004934 1
2.2%

톤수
Real number (ℝ)

Distinct20
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.32609
Minimum30
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:17.143467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile50
Q180
median100
Q3148.75
95-th percentile200
Maximum280
Range250
Interquartile range (IQR)68.75

Descriptive statistics

Standard deviation55.312066
Coefficient of variation (CV)0.47961452
Kurtosis0.89654261
Mean115.32609
Median Absolute Deviation (MAD)35.5
Skewness0.96715841
Sum5305
Variance3059.4246
MonotonicityNot monotonic
2023-12-11T01:06:17.266773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
100 9
19.6%
150 5
10.9%
80 5
10.9%
60 4
 
8.7%
200 4
 
8.7%
110 2
 
4.3%
50 2
 
4.3%
130 2
 
4.3%
30 2
 
4.3%
120 1
 
2.2%
Other values (10) 10
21.7%
ValueCountFrequency (%)
30 2
 
4.3%
50 2
 
4.3%
60 4
8.7%
62 1
 
2.2%
70 1
 
2.2%
80 5
10.9%
90 1
 
2.2%
95 1
 
2.2%
100 9
19.6%
110 2
 
4.3%
ValueCountFrequency (%)
280 1
 
2.2%
250 1
 
2.2%
200 4
8.7%
192 1
 
2.2%
150 5
10.9%
145 1
 
2.2%
136 1
 
2.2%
135 1
 
2.2%
130 2
 
4.3%
120 1
 
2.2%

수질구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
음용수
36 
생활용수
10 

Length

Max length4
Median length3
Mean length3.2173913
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음용수
2nd row생활용수
3rd row음용수
4th row생활용수
5th row음용수

Common Values

ValueCountFrequency (%)
음용수 36
78.3%
생활용수 10
 
21.7%

Length

2023-12-11T01:06:17.426594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:17.525933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음용수 36
78.3%
생활용수 10
 
21.7%

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
공공용
37 
정부지원
5 
자치단체시설
4 

Length

Max length6
Median length3
Mean length3.3695652
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 37
80.4%
정부지원 5
 
10.9%
자치단체시설 4
 
8.7%

Length

2023-12-11T01:06:17.658304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:17.784214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 37
80.4%
정부지원 5
 
10.9%
자치단체시설 4
 
8.7%

Interactions

2023-12-11T01:06:12.692901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:10.492891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.129479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.660588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.185942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.777115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:10.606081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.237550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.757705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.295714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.872403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:10.781284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.336162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.881820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.382584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.988473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:10.894282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.465874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.990096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.500106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:13.113899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.037722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:11.571660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.089572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:12.597732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:06:17.875846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명우편번호도로명주소지번주소위도경도톤수수질구분시설구분
연번1.0001.0000.6480.9360.9650.5300.6540.4800.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.6481.0001.0000.9071.0000.7600.7060.6450.3950.872
도로명주소0.9361.0000.9071.0001.0000.8550.9270.0000.8200.000
지번주소0.9651.0001.0001.0001.0001.0001.0000.8960.5000.648
위도0.5301.0000.7600.8551.0001.0000.6640.3830.0000.597
경도0.6541.0000.7060.9271.0000.6641.0000.2880.6460.184
톤수0.4801.0000.6450.0000.8960.3830.2881.0000.3880.497
수질구분0.0001.0000.3950.8200.5000.0000.6460.3881.0000.000
시설구분1.0001.0000.8720.0000.6480.5970.1840.4970.0001.000
2023-12-11T01:06:18.007930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수질구분시설구분
수질구분1.0000.000
시설구분0.0001.000
2023-12-11T01:06:18.119453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호위도경도톤수수질구분시설구분
연번1.0000.291-0.2000.446-0.2340.0000.849
우편번호0.2911.000-0.8360.519-0.1730.3330.437
위도-0.200-0.8361.000-0.3420.2520.0000.294
경도0.4460.519-0.3421.000-0.0640.4580.016
톤수-0.234-0.1730.252-0.0641.0000.2410.337
수질구분0.0000.3330.0000.4580.2411.0000.000
시설구분0.8490.4370.2940.0160.3370.0001.000

Missing values

2023-12-11T01:06:13.276931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:06:13.730936image/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

연번시설명우편번호도로명주소지번주소위도경도톤수수질구분시설구분
01부산교육대학교47503부산광역시 연제구 거제동 263번지35.195736129.07541100음용수정부지원
12창신초등학교47501부산광역시 연제구 종합운동장로12번길 15, (거제동)부산광역시 연제구 거제동 897-3번지35.19281129.065851192생활용수정부지원
23쌍미공원47553부산광역시 연제구 쌍미천로 172, (연산동)부산광역시 연제구 연산동 2275번지35.187876129.087527136음용수정부지원
34연제초등학교(A)47541부산광역시 연제구 중앙대로1065번길 14, (연산동)부산광역시 연제구 연산동 1300번지35.18405129.0778862생활용수정부지원
45새싹어린이공원47594부산광역시 연제구 연산동 2132-1번지35.175597129.092731280음용수정부지원
56개인택시조합(A)47527부산광역시 연제구 월드컵대로 399, (거제동)부산광역시 연제구 거제동 1368번지35.18601129.05597980음용수자치단체시설
67거제시장47543부산광역시 연제구 거제대로178번길 51-1, (거제동)부산광역시 연제구 거제동 558-3번지35.184029129.073213250생활용수자치단체시설
78연산초등학교(A)47602부산광역시 연제구 월드컵대로 41, (연산동)부산광역시 연제구 연산동 774-1번지35.178172129.084049200음용수자치단체시설
89청마파크아파트47583부산광역시 연제구 고분로 106, (연산동, 청마파크)부산광역시 연제구 연산동 969-2번지 청마파크35.185095129.094099120음용수자치단체시설
910대우그린아파트47527부산광역시 연제구 월드컵대로 343, (거제동, 대우그린)부산광역시 연제구 거제동 1288-3번지 대우그린35.187802129.061394200음용수공공용
연번시설명우편번호도로명주소지번주소위도경도톤수수질구분시설구분
3637부산경상대학(A)47583부산광역시 연제구 고분로 170, (연산동)부산광역시 연제구 연산동 277-4번지35.185429129.100955200음용수공공용
3738부산경상대학47583부산광역시 연제구 고분로 170, (연산동)부산광역시 연제구 연산동 277-4번지35.185429129.100955100음용수공공용
3839연천초등학교47557부산광역시 연제구 과정로225번길 46, (연산동)부산광역시 연제구 연산동 378-11번지35.186217129.100493135음용수공공용
3940국세청(B)47586부산광역시 연제구 토곡로 20, (연산동)부산광역시 연제구 연산동 243-13번지35.182945129.105533100생활용수공공용
4041부산교육연수원47584부산광역시 연제구 토곡로 66, (연산동)부산광역시 연제구 연산동 3-1번지35.183231129.100837145음용수공공용
4142환경자원관리소47586부산광역시 연제구 고분로 222, (연산동)부산광역시 연제구 연산동 243-19번지35.183253129.10634960음용수공공용
4243연산국제아파트47613부산광역시 연제구 연수로 184, (연산동, 국제)부산광역시 연제구 연산동 1873-70번지 국제35.17354129.09102470음용수공공용
4344거제청구하이츠 아파트47532부산광역시 연제구 화지로 95, (거제동, 거제청구하이츠)부산광역시 연제구 거제동 769-78번지 거제청구하이츠35.183345129.06592560음용수공공용
4445진일아파트47583부산광역시 연제구 고분로 136, (연산동, 진일)부산광역시 연제구 연산동 1088번지 진일35.18502129.09637195음용수공공용
4546한독아파트47613부산광역시 연제구 봉수로 15, (연산동, 한독)부산광역시 연제구 연산동 1873-30번지 한독35.172886129.08955560음용수공공용