Overview

Dataset statistics

Number of variables11
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory92.6 B

Variable types

Numeric3
Categorical3
Text2
DateTime3

Dataset

Description부산광역시 안전관리 우수 다중이용업소 인증 현황으로 소방서, 업종, 업소명, 위치, 인증기간 항목에 대한 정보를 제공하고 있습니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15088168/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 소방서High correlation
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
소방서 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
순번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:11:48.481367
Analysis finished2023-12-12 15:11:50.172675
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T00:11:50.254320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2023-12-13T00:11:50.433348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

소방서
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
동래소방서
9 
강서소방서
9 
기장소방서
9 
항만소방서
9 
부산진소방서
8 
Other values (7)
40 

Length

Max length6
Median length5
Mean length5.1785714
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래소방서 9
10.7%
강서소방서 9
10.7%
기장소방서 9
10.7%
항만소방서 9
10.7%
부산진소방서 8
9.5%
해운대소방서 7
8.3%
금정소방서 7
8.3%
남부소방서 7
8.3%
중부소방서 6
7.1%
사하소방서 5
6.0%
Other values (2) 8
9.5%

Length

2023-12-13T00:11:50.589526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동래소방서 9
10.7%
강서소방서 9
10.7%
기장소방서 9
10.7%
항만소방서 9
10.7%
부산진소방서 8
9.5%
해운대소방서 7
8.3%
금정소방서 7
8.3%
남부소방서 7
8.3%
중부소방서 6
7.1%
사하소방서 5
6.0%
Other values (2) 8
9.5%

업종
Categorical

Distinct8
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size804.0 B
일반음식점
46 
영화상영관
15 
휴게음식점
13 
산후조리원
5 
스크린골프연습장
 
2
Other values (3)
 
3

Length

Max length8
Median length5
Mean length5.0714286
Min length3

Unique

Unique3 ?
Unique (%)3.6%

Sample

1st row일반음식점
2nd row영화상영관
3rd row영화상영관
4th row휴게음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 46
54.8%
영화상영관 15
 
17.9%
휴게음식점 13
 
15.5%
산후조리원 5
 
6.0%
스크린골프연습장 2
 
2.4%
휴게음식점 1
 
1.2%
제과점 1
 
1.2%
근린생활시설 1
 
1.2%

Length

2023-12-13T00:11:50.720524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:50.840013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 46
54.8%
영화상영관 15
 
17.9%
휴게음식점 14
 
16.7%
산후조리원 5
 
6.0%
스크린골프연습장 2
 
2.4%
제과점 1
 
1.2%
근린생활시설 1
 
1.2%

업소명
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T00:11:51.102782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.4880952
Min length2

Characters and Unicode

Total characters629
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row코모도호텔 고담
2nd row롯데시네마 광복점
3rd row롯데시네마 대영점
4th row㈜이디야 송도케이블점
5th row㈜에프지케이 이재모피자
ValueCountFrequency (%)
롯데시네마 5
 
4.2%
메가박스 3
 
2.5%
스타벅스 3
 
2.5%
외식1번가 2
 
1.7%
동래점 2
 
1.7%
더파티 2
 
1.7%
센텀점 2
 
1.7%
cgv 2
 
1.7%
파스쿠찌 2
 
1.7%
아웃백스테이크하우스남천점 1
 
0.8%
Other values (96) 96
80.0%
2023-12-13T00:11:51.535639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
5.7%
점 33
 
5.2%
스 26
 
4.1%
산 18
 
2.9%
이 12
 
1.9%
원 12
 
1.9%
시 12
 
1.9%
리 11
 
1.7%
마 10
 
1.6%
부 10
 
1.6%
Other values (198) 449
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
87.9%
Space Separator 36
 
5.7%
Uppercase Letter 18
 
2.9%
Decimal Number 6
 
1.0%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%
Other Symbol 4
 
0.6%
Lowercase Letter 3
 
0.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 33
 
6.0%
스 26
 
4.7%
산 18
 
3.3%
이 12
 
2.2%
원 12
 
2.2%
시 12
 
2.2%
리 11
 
2.0%
마 10
 
1.8%
부 10
 
1.8%
데 8
 
1.4%
Other values (179) 401
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
22.2%
G 4
22.2%
V 4
22.2%
D 2
11.1%
T 2
11.1%
R 1
 
5.6%
Q 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
1 2
33.3%
7 1
16.7%
0 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
g 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
88.6%
Common 51
 
8.1%
Latin 21
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 33
 
5.9%
스 26
 
4.7%
산 18
 
3.2%
이 12
 
2.2%
원 12
 
2.2%
시 12
 
2.2%
리 11
 
2.0%
마 10
 
1.8%
부 10
 
1.8%
데 8
 
1.4%
Other values (180) 405
72.7%
Latin
ValueCountFrequency (%)
C 4
19.0%
G 4
19.0%
V 4
19.0%
D 2
9.5%
T 2
9.5%
R 1
 
4.8%
Q 1
 
4.8%
v 1
 
4.8%
g 1
 
4.8%
c 1
 
4.8%
Common
ValueCountFrequency (%)
36
70.6%
) 4
 
7.8%
( 4
 
7.8%
3 2
 
3.9%
1 2
 
3.9%
= 1
 
2.0%
7 1
 
2.0%
0 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
87.9%
ASCII 72
 
11.4%
None 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
50.0%
) 4
 
5.6%
C 4
 
5.6%
( 4
 
5.6%
G 4
 
5.6%
V 4
 
5.6%
3 2
 
2.8%
1 2
 
2.8%
D 2
 
2.8%
T 2
 
2.8%
Other values (8) 8
 
11.1%
Hangul
ValueCountFrequency (%)
점 33
 
6.0%
스 26
 
4.7%
산 18
 
3.3%
이 12
 
2.2%
원 12
 
2.2%
시 12
 
2.2%
리 11
 
2.0%
마 10
 
1.8%
부 10
 
1.8%
데 8
 
1.4%
Other values (179) 401
72.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

도로명주소
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T00:11:51.821561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length18.761905
Min length10

Characters and Unicode

Total characters1576
Distinct characters124
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 중구로 151(영주동)
2nd row부산광역시 중구 중앙대로 2(중앙동)
3rd row부산광역시 중구 비프광장로 37(남포동5가)
4th row부산광역시 서구 송도해변로 171(암남동)
5th row부산광역시 중구 광복중앙로 31(신창동)
ValueCountFrequency (%)
부산광역시 72
 
21.4%
기장군 9
 
2.7%
강서구 9
 
2.7%
부산진구 8
 
2.4%
중앙대로 7
 
2.1%
해운대구 7
 
2.1%
금정구 7
 
2.1%
수영구 5
 
1.5%
사하구 5
 
1.5%
동래구 5
 
1.5%
Other values (165) 203
60.2%
2023-12-13T00:11:52.245632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
 
16.6%
산 83
 
5.3%
부 81
 
5.1%
광 79
 
5.0%
구 75
 
4.8%
로 74
 
4.7%
시 73
 
4.6%
역 72
 
4.6%
1 53
 
3.4%
3 42
 
2.7%
Other values (114) 683
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1009
64.0%
Decimal Number 269
 
17.1%
Space Separator 261
 
16.6%
Dash Punctuation 18
 
1.1%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Other Punctuation 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 83
 
8.2%
부 81
 
8.0%
광 79
 
7.8%
구 75
 
7.4%
로 74
 
7.3%
시 73
 
7.2%
역 72
 
7.1%
대 29
 
2.9%
동 29
 
2.9%
장 21
 
2.1%
Other values (98) 393
38.9%
Decimal Number
ValueCountFrequency (%)
1 53
19.7%
3 42
15.6%
2 40
14.9%
6 24
8.9%
4 21
 
7.8%
7 19
 
7.1%
9 18
 
6.7%
0 18
 
6.7%
5 18
 
6.7%
8 16
 
5.9%
Space Separator
ValueCountFrequency (%)
261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1009
64.0%
Common 567
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 83
 
8.2%
부 81
 
8.0%
광 79
 
7.8%
구 75
 
7.4%
로 74
 
7.3%
시 73
 
7.2%
역 72
 
7.1%
대 29
 
2.9%
동 29
 
2.9%
장 21
 
2.1%
Other values (98) 393
38.9%
Common
ValueCountFrequency (%)
261
46.0%
1 53
 
9.3%
3 42
 
7.4%
2 40
 
7.1%
6 24
 
4.2%
4 21
 
3.7%
7 19
 
3.4%
9 18
 
3.2%
0 18
 
3.2%
- 18
 
3.2%
Other values (6) 53
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1009
64.0%
ASCII 567
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
46.0%
1 53
 
9.3%
3 42
 
7.4%
2 40
 
7.1%
6 24
 
4.2%
4 21
 
3.7%
7 19
 
3.4%
9 18
 
3.2%
0 18
 
3.2%
- 18
 
3.2%
Other values (6) 53
 
9.3%
Hangul
ValueCountFrequency (%)
산 83
 
8.2%
부 81
 
8.0%
광 79
 
7.8%
구 75
 
7.4%
로 74
 
7.3%
시 73
 
7.2%
역 72
 
7.1%
대 29
 
2.9%
동 29
 
2.9%
장 21
 
2.1%
Other values (98) 393
38.9%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.16358
Minimum35.065579
Maximum35.322268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T00:11:52.388093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.065579
5-th percentile35.081344
Q135.105467
median35.159555
Q335.209837
95-th percentile35.27382
Maximum35.322268
Range0.25668944
Interquartile range (IQR)0.10437003

Descriptive statistics

Standard deviation0.063592453
Coefficient of variation (CV)0.001808475
Kurtosis-0.29464612
Mean35.16358
Median Absolute Deviation (MAD)0.05205722
Skewness0.52395172
Sum2953.7407
Variance0.0040440001
MonotonicityNot monotonic
2023-12-13T00:11:52.516116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.10889861 1
 
1.2%
35.21304751 1
 
1.2%
35.32226813 1
 
1.2%
35.29337478 1
 
1.2%
35.19221051 1
 
1.2%
35.24887056 1
 
1.2%
35.26696731 1
 
1.2%
35.2469624 1
 
1.2%
35.11141234 1
 
1.2%
35.0974662 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
35.06557869 1
1.2%
35.07163803 1
1.2%
35.07664448 1
1.2%
35.07725806 1
1.2%
35.08087049 1
1.2%
35.08402778 1
1.2%
35.08406696 1
1.2%
35.08542335 1
1.2%
35.08557909 1
1.2%
35.08638021 1
1.2%
ValueCountFrequency (%)
35.32226813 1
1.2%
35.3216571 1
1.2%
35.31943615 1
1.2%
35.29337478 1
1.2%
35.27502922 1
1.2%
35.26696731 1
1.2%
35.25455964 1
1.2%
35.24887056 1
1.2%
35.2469624 1
1.2%
35.24517781 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06255
Minimum128.86874
Maximum129.26978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T00:11:52.646232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.86874
5-th percentile128.90673
Q1129.01942
median129.06259
Q3129.111
95-th percentile129.2124
Maximum129.26978
Range0.4010409
Interquartile range (IQR)0.0915845

Descriptive statistics

Standard deviation0.08517862
Coefficient of variation (CV)0.00065997936
Kurtosis0.18385699
Mean129.06255
Median Absolute Deviation (MAD)0.0486201
Skewness0.011200446
Sum10841.254
Variance0.0072553972
MonotonicityNot monotonic
2023-12-13T00:11:52.794108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0348097 1
 
1.2%
128.9523396 1
 
1.2%
129.2697788 1
 
1.2%
129.2599381 1
 
1.2%
129.2127825 1
 
1.2%
129.2091766 1
 
1.2%
129.2335146 1
 
1.2%
129.2134005 1
 
1.2%
128.8687379 1
 
1.2%
128.922508 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
128.8687379 1
1.2%
128.8786927 1
1.2%
128.8788798 1
1.2%
128.9031548 1
1.2%
128.9039448 1
1.2%
128.922508 1
1.2%
128.9323536 1
1.2%
128.9523396 1
1.2%
128.9652039 1
1.2%
128.966874 1
1.2%
ValueCountFrequency (%)
129.2697788 1
1.2%
129.2599381 1
1.2%
129.2335146 1
1.2%
129.2134005 1
1.2%
129.2127825 1
1.2%
129.2102494 1
1.2%
129.2091766 1
1.2%
129.1816774 1
1.2%
129.1783568 1
1.2%
129.1613987 1
1.2%

인증시작일
Date

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2021-11-01 00:00:00
Maximum2023-11-09 00:00:00
2023-12-13T00:11:52.913274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:53.038850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

인증종료일
Date

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-11-01 00:00:00
Maximum2025-11-09 00:00:00
2023-12-13T00:11:53.147099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:53.262115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
갱신
56 
신규
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row갱신
2nd row갱신
3rd row갱신
4th row신규
5th row신규

Common Values

ValueCountFrequency (%)
갱신 56
66.7%
신규 28
33.3%

Length

2023-12-13T00:11:53.376262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:53.475584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
갱신 56
66.7%
신규 28
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-09-22 00:00:00
Maximum2023-09-22 00:00:00
2023-12-13T00:11:53.556484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:53.643038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:11:49.546190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.001886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.276635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.652996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.074548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.350379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.759279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.159254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:49.440217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:11:53.727988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소방서업종업소명도로명주소위도경도인증시작일인증종료일구분
순번1.0000.8890.0001.0001.0000.7010.8340.7630.7630.574
소방서0.8891.0000.2661.0001.0000.8290.9080.0000.0000.000
업종0.0000.2661.0001.0001.0000.2570.3750.3120.3120.315
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.7010.8290.2571.0001.0001.0000.8460.0000.0000.000
경도0.8340.9080.3751.0001.0000.8461.0000.0000.0000.000
인증시작일0.7630.0000.3121.0001.0000.0000.0001.0001.0000.831
인증종료일0.7630.0000.3121.0001.0000.0000.0001.0001.0000.831
구분0.5740.0000.3151.0001.0000.0000.0000.8310.8311.000
2023-12-13T00:11:54.188434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종소방서
구분1.0000.2250.000
업종0.2251.0000.105
소방서0.0000.1051.000
2023-12-13T00:11:54.269589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도소방서업종구분
순번1.000-0.0370.1290.6410.0000.420
위도-0.0371.0000.5550.5340.1180.000
경도0.1290.5551.0000.6850.1880.000
소방서0.6410.5340.6851.0000.1050.000
업종0.0000.1180.1880.1051.0000.225
구분0.4200.0000.0000.0000.2251.000

Missing values

2023-12-13T00:11:49.931823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:11:50.117096image/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

순번소방서업종업소명도로명주소위도경도인증시작일인증종료일구분데이터기준일자
01중부소방서일반음식점코모도호텔 고담부산광역시 중구 중구로 151(영주동)35.108899129.034812022-11-012024-11-01갱신2023-09-22
12중부소방서영화상영관롯데시네마 광복점부산광역시 중구 중앙대로 2(중앙동)35.098309129.0367052021-11-012023-11-01갱신2023-09-22
23중부소방서영화상영관롯데시네마 대영점부산광역시 중구 비프광장로 37(남포동5가)35.098605129.029472022-11-012024-11-01갱신2023-09-22
34중부소방서휴게음식점㈜이디야 송도케이블점부산광역시 서구 송도해변로 171(암남동)35.076644129.023362021-11-012023-11-01신규2023-09-22
45중부소방서일반음식점㈜에프지케이 이재모피자부산광역시 중구 광복중앙로 31(신창동)35.102102129.0305782022-11-092024-11-09신규2023-09-22
56부산진소방서일반음식점외식1번가부산광역시 부산진구 신천대로 22235.161698129.0510652022-11-092024-11-09갱신2023-09-22
67부산진소방서영화상영관롯데시네마(부산본점)부산진구 가야대로 77235.156793129.0564132022-11-092024-11-09갱신2023-09-22
78부산진소방서영화상영관cgv 서면점부산광역시 부산진구 동천로 435.149434129.0639782022-11-092024-11-09갱신2023-09-22
89부산진소방서휴게음식점카페Q부산광역시 부산진구 중앙대로 672-0 서면피에스타 8층35.153006129.0596022022-11-092024-11-09신규2023-09-22
910부산진소방서일반음식점더파티(범일점)부산광역시 부산진구 자유평화로 1135.141742129.0612012021-11-012023-11-01갱신2023-09-22
순번소방서업종업소명도로명주소위도경도인증시작일인증종료일구분데이터기준일자
7475부산진소방서일반음식점㈜사미헌부산광역시 부산진구 서면문화로 1935.15899129.056652023-11-092025-11-09신규2023-09-22
7576동래소방서일반음식점봉평막국수 동래점부산광역시 동래구 충렬대로21835.201862129.0829472023-11-092025-11-09신규2023-09-22
7677사상소방서영화상영관메가박스 사상부산광역시 사상구 사상로 20135.163142128.9809872023-11-092025-11-09신규2023-09-22
7778사하소방서일반음식점플랜트370부산광역시 사하구 신산로 19435.089917128.9670252023-11-092025-11-09신규2023-09-22
7879해운대소방서휴게음식점스타벅스부산광역시 해운대구 수영강변대로 51635.203936129.1193912023-11-092025-11-09신규2023-09-22
7980금정소방서일반음식점애슐리 부산대점부산광역시 금정구 부산대학로 63번길 235.232239129.0838242023-11-092025-11-09신규2023-09-22
8081남부소방서일반음식점디에이블 광안점부산광역시 수영구 민락수변로 2935.153239129.1246772023-11-092025-11-09신규2023-09-22
8182강서소방서근린생활시설파스쿠찌 강서점부산광역시 강서구 체육공원로 6번길 18435.209415128.9826872023-11-092025-11-09신규2023-09-22
8283기장소방서영화상영관메가박스 정관부산광역시 기장군 정관읍 정관6로39 5층35.319436129.1783572023-11-092025-11-09신규2023-09-22
8384항만소방서일반음식점오구부산광역시 영도구 남항서로 5235.085579129.0348332023-11-092025-11-09신규2023-09-22