Overview

Dataset statistics

Number of variables11
Number of observations46
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory94.9 B

Variable types

Numeric4
Text3
Categorical4

Dataset

Description부산광역시연제구_민방위비상급수시설_20230926
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15028596

Alerts

데이터기준일자 has constant value ""Constant
수질구분 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
2023년3분기 is highly overall correlated with 수질구분High correlation
연번 is highly overall correlated with 시설구분High correlation
경도 is highly overall correlated with 수질구분High correlation
시설구분 is highly overall correlated with 연번High correlation
도로명주소 has 1 (2.2%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:06:21.982210
Analysis finished2023-12-10 16:06:25.195659
Duration3.21 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
2023-12-11T01:06:25.299620image/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
2023-12-11T01:06:25.475019image/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
2023-12-11T01:06:25.756900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.2391304
Min length3

Characters and Unicode

Total characters333
Distinct characters111
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 row거제초등학교
4th row쌍미공원
5th row연제초등학교(A)
ValueCountFrequency (%)
부산교육대학교 1
 
2.2%
연제중학교 1
 
2.2%
무진빌딩 1
 
2.2%
연산선경아파트 1
 
2.2%
부전타워아파트 1
 
2.2%
부산의료원 1
 
2.2%
국가기록원역사기록관 1
 
2.2%
아시아드주경기장 1
 
2.2%
연산중학교 1
 
2.2%
연제초등학교(b 1
 
2.2%
Other values (36) 36
78.3%
2023-12-11T01:06:26.257376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 17
 
5.1%
파 16
 
4.8%
트 15
 
4.5%
산 13
 
3.9%
( 12
 
3.6%
교 12
 
3.6%
학 12
 
3.6%
연 12
 
3.6%
) 12
 
3.6%
제 8
 
2.4%
Other values (101) 204
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
88.6%
Open Punctuation 12
 
3.6%
Close Punctuation 12
 
3.6%
Uppercase Letter 11
 
3.3%
Other Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 17
 
5.8%
파 16
 
5.4%
트 15
 
5.1%
산 13
 
4.4%
교 12
 
4.1%
학 12
 
4.1%
연 12
 
4.1%
제 8
 
2.7%
등 7
 
2.4%
초 7
 
2.4%
Other values (96) 176
59.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
A 5
45.5%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
88.6%
Common 27
 
8.1%
Latin 11
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 17
 
5.8%
파 16
 
5.4%
트 15
 
5.1%
산 13
 
4.4%
교 12
 
4.1%
학 12
 
4.1%
연 12
 
4.1%
제 8
 
2.7%
등 7
 
2.4%
초 7
 
2.4%
Other values (96) 176
59.7%
Common
ValueCountFrequency (%)
( 12
44.4%
) 12
44.4%
. 3
 
11.1%
Latin
ValueCountFrequency (%)
B 6
54.5%
A 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
88.6%
ASCII 38
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 17
 
5.8%
파 16
 
5.4%
트 15
 
5.1%
산 13
 
4.4%
교 12
 
4.1%
학 12
 
4.1%
연 12
 
4.1%
제 8
 
2.7%
등 7
 
2.4%
초 7
 
2.4%
Other values (96) 176
59.7%
ASCII
ValueCountFrequency (%)
( 12
31.6%
) 12
31.6%
B 6
15.8%
A 5
13.2%
. 3
 
7.9%

도로명주소
Text

MISSING 

Distinct40
Distinct (%)88.9%
Missing1
Missing (%)2.2%
Memory size500.0 B
2023-12-11T01:06:26.651744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23
Min length19

Characters and Unicode

Total characters1035
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)77.8%

Sample

1st row부산광역시연제구교대로19,(거제동)
2nd row부산광역시연제구종합운동장로12번길15,(거제동)
3rd row부산광역시연제구해맞이로39,(거제동)
4th row부산광역시연제구쌍미천로172,(연산동)
5th row부산광역시연제구중앙대로1065번길14,(연산동)
ValueCountFrequency (%)
부산광역시연제구고분로200,(연산동,연산엘지 2
 
4.4%
부산광역시연제구고분로170,(연산동 2
 
4.4%
부산광역시연제구황령산로495,(연산동 2
 
4.4%
부산광역시연제구중앙대로1065번길14,(연산동 2
 
4.4%
부산광역시연제구월드컵대로399,(거제동 2
 
4.4%
부산광역시연제구쌍미천로62,(연산동 1
 
2.2%
부산광역시연제구교대로19,(거제동 1
 
2.2%
부산광역시연제구과정로225번길46,(연산동 1
 
2.2%
부산광역시연제구경기장로28,(거제동 1
 
2.2%
부산광역시연제구월드컵대로344,(거제동 1
 
2.2%
Other values (30) 30
66.7%
2023-12-11T01:06:27.297900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
연 86
 
8.3%
산 84
 
8.1%
제 64
 
6.2%
, 62
 
6.0%
시 47
 
4.5%
구 47
 
4.5%
부 46
 
4.4%
동 46
 
4.4%
광 45
 
4.3%
역 45
 
4.3%
Other values (87) 463
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 752
72.7%
Decimal Number 131
 
12.7%
Other Punctuation 62
 
6.0%
Close Punctuation 45
 
4.3%
Open Punctuation 45
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 86
11.4%
산 84
11.2%
제 64
 
8.5%
시 47
 
6.2%
구 47
 
6.2%
부 46
 
6.1%
동 46
 
6.1%
광 45
 
6.0%
역 45
 
6.0%
로 45
 
6.0%
Other values (74) 197
26.2%
Decimal Number
ValueCountFrequency (%)
1 26
19.8%
2 19
14.5%
4 16
12.2%
3 14
10.7%
9 13
9.9%
0 11
8.4%
5 10
 
7.6%
6 9
 
6.9%
7 7
 
5.3%
8 6
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 752
72.7%
Common 283
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 86
11.4%
산 84
11.2%
제 64
 
8.5%
시 47
 
6.2%
구 47
 
6.2%
부 46
 
6.1%
동 46
 
6.1%
광 45
 
6.0%
역 45
 
6.0%
로 45
 
6.0%
Other values (74) 197
26.2%
Common
ValueCountFrequency (%)
, 62
21.9%
) 45
15.9%
( 45
15.9%
1 26
9.2%
2 19
 
6.7%
4 16
 
5.7%
3 14
 
4.9%
9 13
 
4.6%
0 11
 
3.9%
5 10
 
3.5%
Other values (3) 22
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 752
72.7%
ASCII 283
 
27.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
연 86
11.4%
산 84
11.2%
제 64
 
8.5%
시 47
 
6.2%
구 47
 
6.2%
부 46
 
6.1%
동 46
 
6.1%
광 45
 
6.0%
역 45
 
6.0%
로 45
 
6.0%
Other values (74) 197
26.2%
ASCII
ValueCountFrequency (%)
, 62
21.9%
) 45
15.9%
( 45
15.9%
1 26
9.2%
2 19
 
6.7%
4 16
 
5.7%
3 14
 
4.9%
9 13
 
4.6%
0 11
 
3.9%
5 10
 
3.5%
Other values (3) 22
 
7.8%

지번주소
Text

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:06:27.677410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.630435
Min length16

Characters and Unicode

Total characters903
Distinct characters64
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

Unique36 ?
Unique (%)78.3%

Sample

1st row부산광역시연제구거제동263번지
2nd row부산광역시연제구거제동897-3번지
3rd row부산광역시연제구거제동676-152번지
4th row부산광역시연제구연산동2275번지
5th row부산광역시연제구연산동1300번지
ValueCountFrequency (%)
부산광역시연제구연산동243-18번지연산엘지 2
 
4.3%
부산광역시연제구연산동277-4번지 2
 
4.3%
부산광역시연제구연산동산182번지 2
 
4.3%
부산광역시연제구연산동1300번지 2
 
4.3%
부산광역시연제구거제동1368번지 2
 
4.3%
부산광역시연제구연산동1777-10번지 1
 
2.2%
부산광역시연제구거제동263번지 1
 
2.2%
부산광역시연제구연산동378-11번지 1
 
2.2%
부산광역시연제구거제동1400번지 1
 
2.2%
부산광역시연제구거제동1306번지 1
 
2.2%
Other values (31) 31
67.4%
2023-12-11T01:06:28.303977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 85
 
9.4%
연 84
 
9.3%
제 61
 
6.8%
구 48
 
5.3%
지 48
 
5.3%
부 47
 
5.2%
번 46
 
5.1%
광 46
 
5.1%
역 46
 
5.1%
시 46
 
5.1%
Other values (54) 346
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 670
74.2%
Decimal Number 203
 
22.5%
Dash Punctuation 30
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 85
12.7%
연 84
12.5%
제 61
9.1%
구 48
7.2%
지 48
7.2%
부 47
7.0%
번 46
6.9%
광 46
6.9%
역 46
6.9%
시 46
6.9%
Other values (43) 113
16.9%
Decimal Number
ValueCountFrequency (%)
1 41
20.2%
2 23
11.3%
7 23
11.3%
3 22
10.8%
8 22
10.8%
4 17
8.4%
5 16
 
7.9%
0 14
 
6.9%
6 13
 
6.4%
9 12
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 670
74.2%
Common 233
 
25.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 85
12.7%
연 84
12.5%
제 61
9.1%
구 48
7.2%
지 48
7.2%
부 47
7.0%
번 46
6.9%
광 46
6.9%
역 46
6.9%
시 46
6.9%
Other values (43) 113
16.9%
Common
ValueCountFrequency (%)
1 41
17.6%
- 30
12.9%
2 23
9.9%
7 23
9.9%
3 22
9.4%
8 22
9.4%
4 17
7.3%
5 16
 
6.9%
0 14
 
6.0%
6 13
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 670
74.2%
ASCII 233
 
25.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 85
12.7%
연 84
12.5%
제 61
9.1%
구 48
7.2%
지 48
7.2%
부 47
7.0%
번 46
6.9%
광 46
6.9%
역 46
6.9%
시 46
6.9%
Other values (43) 113
16.9%
ASCII
ValueCountFrequency (%)
1 41
17.6%
- 30
12.9%
2 23
9.9%
7 23
9.9%
3 22
9.4%
8 22
9.4%
4 17
7.3%
5 16
 
6.9%
0 14
 
6.0%
6 13
 
5.6%

위도
Real number (ℝ)

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.181703
Minimum35.163827
Maximum35.195736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:28.500990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.163827
5-th percentile35.166858
Q135.178182
median35.183313
Q335.185429
95-th percentile35.190436
Maximum35.195736
Range0.03190976
Interquartile range (IQR)0.0072472675

Descriptive statistics

Standard deviation0.0066596504
Coefficient of variation (CV)0.00018929301
Kurtosis1.3141178
Mean35.181703
Median Absolute Deviation (MAD)0.00346692
Skewness-0.85935605
Sum1618.3583
Variance4.4350943 × 10-5
MonotonicityNot monotonic
2023-12-11T01:06:28.760261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.16484907 2
 
4.3%
35.18405049 2
 
4.3%
35.18408872 2
 
4.3%
35.18601041 2
 
4.3%
35.18542909 2
 
4.3%
35.19573642 1
 
2.2%
35.19065725 1
 
2.2%
35.18977125 1
 
2.2%
35.18486107 1
 
2.2%
35.17828265 1
 
2.2%
Other values (31) 31
67.4%
ValueCountFrequency (%)
35.16382666 1
2.2%
35.16484907 2
4.3%
35.17288586 1
2.2%
35.17353965 1
2.2%
35.17492326 1
2.2%
35.17559743 1
2.2%
35.17653091 1
2.2%
35.17740455 1
2.2%
35.17763371 1
2.2%
35.17781 1
2.2%
ValueCountFrequency (%)
35.19573642 1
2.2%
35.19281042 1
2.2%
35.19065725 1
2.2%
35.18977125 1
2.2%
35.18787616 1
2.2%
35.18780185 1
2.2%
35.18743495 1
2.2%
35.1862175 1
2.2%
35.18601041 2
4.3%
35.18574224 1
2.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0854
Minimum129.05319
Maximum129.11106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:28.970869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05319
5-th percentile129.05622
Q1129.0757
median129.08755
Q3129.09946
95-th percentile129.10622
Maximum129.11106
Range0.0578748
Interquartile range (IQR)0.02376295

Descriptive statistics

Standard deviation0.016126169
Coefficient of variation (CV)0.00012492636
Kurtosis-0.79530606
Mean129.0854
Median Absolute Deviation (MAD)0.0125418
Skewness-0.39854151
Sum5937.9284
Variance0.00026005332
MonotonicityNot monotonic
2023-12-11T01:06:29.150505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
129.0830279 2
 
4.3%
129.0778797 2
 
4.3%
129.1046149 2
 
4.3%
129.0559793 2
 
4.3%
129.1009549 2
 
4.3%
129.0754098 1
 
2.2%
129.0531858 1
 
2.2%
129.0569384 1
 
2.2%
129.0890236 1
 
2.2%
129.090835 1
 
2.2%
Other values (31) 31
67.4%
ValueCountFrequency (%)
129.0531858 1
2.2%
129.0559793 2
4.3%
129.0569384 1
2.2%
129.0596003 1
2.2%
129.0613936 1
2.2%
129.0658511 1
2.2%
129.0659249 1
2.2%
129.0670089 1
2.2%
129.07088 1
2.2%
129.0728152 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%
129.10336 1
2.2%
129.1012117 1
2.2%
129.1009549 2
4.3%
129.1004934 1
2.2%

톤수
Real number (ℝ)

Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.41304
Minimum30
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:06:29.315777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile42.5
Q163.5
median90
Q3100
95-th percentile215
Maximum350
Range320
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation61.056104
Coefficient of variation (CV)0.59041009
Kurtosis5.2690692
Mean103.41304
Median Absolute Deviation (MAD)26
Skewness2.0234536
Sum4757
Variance3727.8478
MonotonicityNot monotonic
2023-12-11T01:06:29.485844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100 8
17.4%
80 7
15.2%
150 4
 
8.7%
60 3
 
6.5%
50 3
 
6.5%
90 3
 
6.5%
250 1
 
2.2%
55 1
 
2.2%
220 1
 
2.2%
65 1
 
2.2%
Other values (14) 14
30.4%
ValueCountFrequency (%)
30 1
 
2.2%
36 1
 
2.2%
40 1
 
2.2%
50 3
6.5%
55 1
 
2.2%
60 3
6.5%
62 1
 
2.2%
63 1
 
2.2%
65 1
 
2.2%
70 1
 
2.2%
ValueCountFrequency (%)
350 1
 
2.2%
250 1
 
2.2%
220 1
 
2.2%
200 1
 
2.2%
192 1
 
2.2%
160 1
 
2.2%
150 4
8.7%
136 1
 
2.2%
100 8
17.4%
96 1
 
2.2%

수질구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
음용수
31 
생활용수
15 

Length

Max length4
Median length3
Mean length3.326087
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음용수 31
67.4%
생활용수 15
32.6%

Length

2023-12-11T01:06:29.649539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:29.768334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음용수 31
67.4%
생활용수 15
32.6%

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
공공용
36 
정부지원
6 
자치단체시설
4 

Length

Max length6
Median length3
Mean length3.3913043
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 36
78.3%
정부지원 6
 
13.0%
자치단체시설 4
 
8.7%

Length

2023-12-11T01:06:29.930922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:30.074439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 36
78.3%
정부지원 6
 
13.0%
자치단체시설 4
 
8.7%

2023년3분기
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
적합
27 
적합(3년주기)
15 
부적합
4 

Length

Max length8
Median length2
Mean length4.0434783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합
2nd row적합(3년주기)
3rd row적합(3년주기)
4th row적합
5th row적합(3년주기)

Common Values

ValueCountFrequency (%)
적합 27
58.7%
적합(3년주기) 15
32.6%
부적합 4
 
8.7%

Length

2023-12-11T01:06:30.212512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:30.334758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 27
58.7%
적합(3년주기 15
32.6%
부적합 4
 
8.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-09-26
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-26
2nd row2023-09-26
3rd row2023-09-26
4th row2023-09-26
5th row2023-09-26

Common Values

ValueCountFrequency (%)
2023-09-26 46
100.0%

Length

2023-12-11T01:06:30.455307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:30.554885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-26 46
100.0%

Interactions

2023-12-11T01:06:23.871870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:22.514302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:22.956997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.410666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.971799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:22.601610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.058095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.523931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:24.122020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:22.725577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.181745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.631296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:24.273658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:22.852249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.298288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:23.769724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:06:30.644759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명도로명주소지번주소위도경도톤수수질구분시설구분2023년3분기
연번1.0001.0000.9780.9700.4350.7160.2030.0000.8800.330
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.9781.0001.0001.0001.0001.0000.7690.9140.4170.973
지번주소0.9701.0001.0001.0001.0001.0000.7270.8800.5260.973
위도0.4351.0001.0001.0001.0000.6450.0000.2060.4110.000
경도0.7161.0001.0001.0000.6451.0000.4530.8610.3110.579
톤수0.2031.0000.7690.7270.0000.4531.0000.3440.4680.000
수질구분0.0001.0000.9140.8800.2060.8610.3441.0000.0001.000
시설구분0.8801.0000.4170.5260.4110.3110.4680.0001.0000.000
2023년3분기0.3301.0000.9730.9730.0000.5790.0001.0000.0001.000
2023-12-11T01:06:30.848151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수질구분2023년3분기시설구분
수질구분1.0000.9890.000
2023년3분기0.9891.0000.000
시설구분0.0000.0001.000
2023-12-11T01:06:30.983874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도톤수수질구분시설구분2023년3분기
연번1.000-0.1080.342-0.0060.0000.8140.082
위도-0.1081.000-0.2330.3000.1790.1740.000
경도0.342-0.2331.000-0.0750.6310.1500.392
톤수-0.0060.300-0.0751.0000.2630.3180.000
수질구분0.0000.1790.6310.2631.0000.0000.989
시설구분0.8140.1740.1500.3180.0001.0000.000
2023년3분기0.0820.0000.3920.0000.9890.0001.000

Missing values

2023-12-11T01:06:24.535861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:06:24.791152image/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

연번시설명도로명주소지번주소위도경도톤수수질구분시설구분2023년3분기데이터기준일자
01부산교육대학교부산광역시연제구교대로19,(거제동)부산광역시연제구거제동263번지35.195736129.07541100음용수정부지원적합2023-09-26
12창신초등학교부산광역시연제구종합운동장로12번길15,(거제동)부산광역시연제구거제동897-3번지35.19281129.065851192생활용수정부지원적합(3년주기)2023-09-26
23거제초등학교부산광역시연제구해맞이로39,(거제동)부산광역시연제구거제동676-152번지35.17821129.06700996생활용수정부지원적합(3년주기)2023-09-26
34쌍미공원부산광역시연제구쌍미천로172,(연산동)부산광역시연제구연산동2275번지35.187876129.087527136음용수정부지원적합2023-09-26
45연제초등학교(A)부산광역시연제구중앙대로1065번길14,(연산동)부산광역시연제구연산동1300번지35.18405129.0778862생활용수정부지원적합(3년주기)2023-09-26
56새싹어린이공원<NA>부산광역시연제구연산동2132-1번지35.175597129.092731100음용수정부지원적합2023-09-26
67개인택시조합(A)부산광역시연제구월드컵대로399,(거제동)부산광역시연제구거제동1368번지35.18601129.05597960음용수자치단체시설적합2023-09-26
78거제시장부산광역시연제구거제시장로14번길28,(거제동)부산광역시연제구거제동486-1번지35.181765129.072815250생활용수자치단체시설적합(3년주기)2023-09-26
89연산초등학교부산광역시연제구월드컵대로41,(연산동)부산광역시연제구연산동774-1번지35.178172129.084049200음용수자치단체시설적합2023-09-26
910청마파크아파트부산광역시연제구고분로106,(연산동,청마파크)부산광역시연제구연산동969-2번지청마파크35.185095129.094099150음용수자치단체시설적합2023-09-26
연번시설명도로명주소지번주소위도경도톤수수질구분시설구분2023년3분기데이터기준일자
3637연천초등학교부산광역시연제구과정로225번길46,(연산동)부산광역시연제구연산동378-11번지35.186217129.10049380음용수공공용적합2023-09-26
3738국세청(B)부산광역시연제구토곡로20,(연산동)부산광역시연제구연산동243-13번지35.182945129.10553380생활용수공공용적합(3년주기)2023-09-26
3839환경자원관리소부산광역시연제구고분로222,(연산동)부산광역시연제구연산동243-19번지35.183253129.10634990음용수공공용적합2023-09-26
3940연산국제아파트부산광역시연제구연수로184,(연산동,국제)부산광역시연제구연산동1873-70번지국제35.17354129.09102470음용수공공용적합2023-09-26
4041거제청구하이츠아파트부산광역시연제구화지로95,(거제동,거제청구하이츠)부산광역시연제구거제동769-78번지거제청구하이츠35.183345129.06592560생활용수공공용적합(3년주기)2023-09-26
4142진일아파트부산광역시연제구고분로136,(연산동,진일)부산광역시연제구연산동1110-2번지진일35.18502129.09637195음용수공공용적합2023-09-26
4243한독아파트부산광역시연제구봉수로15,(연산동,한독)부산광역시연제구연산동1873-70번지한독35.172886129.08955560음용수공공용적합2023-09-26
4344닥터메포츠부산광역시연제구거제시장로42,(거제동,닥터메포츠)부산광역시연제구거제동584-1번지닥터메포츠35.18328129.07088350생활용수공공용적합(3년주기)2023-09-26
4445무진빌딩부산광역시연제구연제로27,(연산동,무진빌딩)부산광역시연제구연산동867-51번지무진빌딩35.17781129.0765765생활용수공공용적합(3년주기)2023-09-26
4546럭키랜드부산광역시연제구토곡로39,(연산동,럭키랜드)부산광역시연제구연산동19번지럭키랜드35.18183129.10336220생활용수공공용적합(3년주기)2023-09-26