Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory79.5 B

Variable types

Text4
Categorical2
Numeric2
DateTime1

Dataset

Description부산광역시__문화관광해설사현황_20230930
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15066139

Alerts

해설사명칭 has constant value ""Constant
안내홈페이지 has constant value ""Constant
데이터기준일자 has constant value ""Constant
해설장소명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:31.840280
Analysis finished2023-12-10 16:54:33.323910
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해설장소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:33.559792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length6.875
Min length3

Characters and Unicode

Total characters165
Distinct characters84
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row40계단문화관(기념관)
2nd rowUN기념공원
3rd row감천문화마을
4th row금정산성(동문과남문)
5th row동삼동패총전시관
ValueCountFrequency (%)
40계단문화관(기념관 1
 
3.6%
un기념공원 1
 
3.6%
조선통신사역사관 1
 
3.6%
역사관 1
 
3.6%
부산시민공원 1
 
3.6%
금강공원 1
 
3.6%
부산광복기념관 1
 
3.6%
apec하우스 1
 
3.6%
누리마루 1
 
3.6%
생태탐방선 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T01:54:34.025600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 14
 
8.5%
산 7
 
4.2%
기 7
 
4.2%
념 7
 
4.2%
사 6
 
3.6%
공 5
 
3.0%
문 5
 
3.0%
원 5
 
3.0%
부 4
 
2.4%
동 4
 
2.4%
Other values (74) 101
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
89.1%
Uppercase Letter 8
 
4.8%
Space Separator 4
 
2.4%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%
Decimal Number 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 14
 
9.5%
산 7
 
4.8%
기 7
 
4.8%
념 7
 
4.8%
사 6
 
4.1%
공 5
 
3.4%
문 5
 
3.4%
원 5
 
3.4%
부 4
 
2.7%
동 4
 
2.7%
Other values (63) 83
56.5%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
N 2
25.0%
A 1
12.5%
P 1
12.5%
E 1
12.5%
C 1
12.5%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
89.1%
Common 10
 
6.1%
Latin 8
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 14
 
9.5%
산 7
 
4.8%
기 7
 
4.8%
념 7
 
4.8%
사 6
 
4.1%
공 5
 
3.4%
문 5
 
3.4%
원 5
 
3.4%
부 4
 
2.7%
동 4
 
2.7%
Other values (63) 83
56.5%
Latin
ValueCountFrequency (%)
U 2
25.0%
N 2
25.0%
A 1
12.5%
P 1
12.5%
E 1
12.5%
C 1
12.5%
Common
ValueCountFrequency (%)
4
40.0%
( 2
20.0%
) 2
20.0%
4 1
 
10.0%
0 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
89.1%
ASCII 18
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 14
 
9.5%
산 7
 
4.8%
기 7
 
4.8%
념 7
 
4.8%
사 6
 
4.1%
공 5
 
3.4%
문 5
 
3.4%
원 5
 
3.4%
부 4
 
2.7%
동 4
 
2.7%
Other values (63) 83
56.5%
ASCII
ValueCountFrequency (%)
4
22.2%
U 2
11.1%
N 2
11.1%
( 2
11.1%
) 2
11.1%
A 1
 
5.6%
P 1
 
5.6%
E 1
 
5.6%
C 1
 
5.6%
4 1
 
5.6%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:34.374897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length17.5
Min length12

Characters and Unicode

Total characters420
Distinct characters78
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

Unique24 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 동광길 49
2nd row부산광역시 남구 유엔평화로 93
3rd row부산광역시 사하구 감내2로 203
4th row부산광역시 동문로 38
5th row부산광역시 영도구 태종로 729
ValueCountFrequency (%)
부산광역시 24
25.0%
중구 4
 
4.2%
남구 3
 
3.1%
동래구 3
 
3.1%
영도구 2
 
2.1%
북구 2
 
2.1%
63 2
 
2.1%
서구 2
 
2.1%
사하구 2
 
2.1%
유엔평화로 2
 
2.1%
Other values (50) 50
52.1%
2023-12-11T01:54:34.947493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
17.1%
산 27
 
6.4%
시 26
 
6.2%
부 25
 
6.0%
광 25
 
6.0%
역 24
 
5.7%
구 23
 
5.5%
로 19
 
4.5%
1 11
 
2.6%
3 11
 
2.6%
Other values (68) 157
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
65.7%
Space Separator 72
 
17.1%
Decimal Number 70
 
16.7%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 27
 
9.8%
시 26
 
9.4%
부 25
 
9.1%
광 25
 
9.1%
역 24
 
8.7%
구 23
 
8.3%
로 19
 
6.9%
동 9
 
3.3%
길 6
 
2.2%
중 4
 
1.4%
Other values (56) 88
31.9%
Decimal Number
ValueCountFrequency (%)
1 11
15.7%
3 11
15.7%
2 9
12.9%
9 8
11.4%
5 7
10.0%
6 7
10.0%
4 6
8.6%
7 4
 
5.7%
0 4
 
5.7%
8 3
 
4.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
65.7%
Common 144
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 27
 
9.8%
시 26
 
9.4%
부 25
 
9.1%
광 25
 
9.1%
역 24
 
8.7%
구 23
 
8.3%
로 19
 
6.9%
동 9
 
3.3%
길 6
 
2.2%
중 4
 
1.4%
Other values (56) 88
31.9%
Common
ValueCountFrequency (%)
72
50.0%
1 11
 
7.6%
3 11
 
7.6%
2 9
 
6.2%
9 8
 
5.6%
5 7
 
4.9%
6 7
 
4.9%
4 6
 
4.2%
7 4
 
2.8%
0 4
 
2.8%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
65.7%
ASCII 144
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
50.0%
1 11
 
7.6%
3 11
 
7.6%
2 9
 
6.2%
9 8
 
5.6%
5 7
 
4.9%
6 7
 
4.9%
4 6
 
4.2%
7 4
 
2.8%
0 4
 
2.8%
Other values (2) 5
 
3.5%
Hangul
ValueCountFrequency (%)
산 27
 
9.8%
시 26
 
9.4%
부 25
 
9.1%
광 25
 
9.1%
역 24
 
8.7%
구 23
 
8.3%
로 19
 
6.9%
동 9
 
3.3%
길 6
 
2.2%
중 4
 
1.4%
Other values (56) 88
31.9%

해설사명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
문화관광해설사
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화관광해설사 24
100.0%

Length

2023-12-11T01:54:35.164875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:35.311988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화관광해설사 24
100.0%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:35.579987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row051-600-4041
2nd row051-625-0625
3rd row051-204-1444
4th row051-888-6875
5th row051-403-1193
ValueCountFrequency (%)
051-600-4041 1
 
4.2%
051-625-0625 1
 
4.2%
051-631-0858 1
 
4.2%
051-850-6061 1
 
4.2%
051-860-7880 1
 
4.2%
051-860-7819 1
 
4.2%
051-743-1974 1
 
4.2%
051-294-2135 1
 
4.2%
051-901-1400 1
 
4.2%
051-405-8745 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T01:54:36.416458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
21.7%
5 41
17.1%
1 38
15.8%
4 24
10.0%
8 19
 
7.9%
2 18
 
7.5%
6 16
 
6.7%
7 14
 
5.8%
3 10
 
4.2%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
18.1%
- 48
16.7%
5 41
14.2%
1 38
13.2%
4 24
8.3%
8 19
 
6.6%
2 18
 
6.2%
6 16
 
5.6%
7 14
 
4.9%
3 10
 
3.5%

관련기관
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:54:36.721653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.9583333
Min length4

Characters and Unicode

Total characters191
Distinct characters79
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row중구 관광시설 관리사업소
2nd row재한유엔기념공원관리처
3rd row감천문화마을 안내센터
4th row푸른도시가꾸기사업소
5th row동삼동패총전시관 안내센터
ValueCountFrequency (%)
중구 2
 
6.2%
관리사업소 2
 
6.2%
임시수도기념관 2
 
6.2%
안내센터 2
 
6.2%
관광시설 2
 
6.2%
충렬사관리사업소 1
 
3.1%
재한유엔기념공원관리처 1
 
3.1%
부산문화재단 1
 
3.1%
금강공원 1
 
3.1%
부산광복기념관 1
 
3.1%
Other values (17) 17
53.1%
2023-12-11T01:54:37.219064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 15
 
7.9%
8
 
4.2%
시 8
 
4.2%
사 8
 
4.2%
기 7
 
3.7%
리 6
 
3.1%
념 5
 
2.6%
구 5
 
2.6%
공 5
 
2.6%
산 5
 
2.6%
Other values (69) 119
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
93.7%
Space Separator 8
 
4.2%
Uppercase Letter 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 15
 
8.4%
시 8
 
4.5%
사 8
 
4.5%
기 7
 
3.9%
리 6
 
3.4%
념 5
 
2.8%
구 5
 
2.8%
공 5
 
2.8%
산 5
 
2.8%
소 5
 
2.8%
Other values (64) 110
61.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
93.7%
Common 8
 
4.2%
Latin 4
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 15
 
8.4%
시 8
 
4.5%
사 8
 
4.5%
기 7
 
3.9%
리 6
 
3.4%
념 5
 
2.8%
구 5
 
2.8%
공 5
 
2.8%
산 5
 
2.8%
소 5
 
2.8%
Other values (64) 110
61.5%
Latin
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
E 1
25.0%
C 1
25.0%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
93.7%
ASCII 12
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 15
 
8.4%
시 8
 
4.5%
사 8
 
4.5%
기 7
 
3.9%
리 6
 
3.4%
념 5
 
2.8%
구 5
 
2.8%
공 5
 
2.8%
산 5
 
2.8%
소 5
 
2.8%
Other values (64) 110
61.5%
ASCII
ValueCountFrequency (%)
8
66.7%
A 1
 
8.3%
P 1
 
8.3%
E 1
 
8.3%
C 1
 
8.3%

안내홈페이지
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
https://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
24 

Length

Max length65
Median length65
Mean length65
Min length65

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
2nd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
3rd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
4th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
5th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000

Common Values

ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000 24
100.0%

Length

2023-12-11T01:54:37.433477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:37.592477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menucd=dom_000000203013000000 24
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.16944
Minimum35.046268
Maximum35.84773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T01:54:37.775607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.046268
5-th percentile35.061417
Q135.103146
median35.126076
Q335.201865
95-th percentile35.275647
Maximum35.84773
Range0.80146196
Interquartile range (IQR)0.098719712

Descriptive statistics

Standard deviation0.15641932
Coefficient of variation (CV)0.0044475919
Kurtosis16.608653
Mean35.16944
Median Absolute Deviation (MAD)0.027427405
Skewness3.8109815
Sum844.06657
Variance0.024467003
MonotonicityNot monotonic
2023-12-11T01:54:38.022206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.10500741 1
 
4.2%
35.10375325 1
 
4.2%
35.1096229 1
 
4.2%
35.1357287 1
 
4.2%
35.103541 1
 
4.2%
35.21962001 1
 
4.2%
35.11130442 1
 
4.2%
35.15233872 1
 
4.2%
35.22236499 1
 
4.2%
35.12475424 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
35.04626817 1
4.2%
35.05969475 1
4.2%
35.07117964 1
4.2%
35.09748391 1
4.2%
35.10093242 1
4.2%
35.10195987 1
4.2%
35.103541 1
4.2%
35.10375325 1
4.2%
35.10500741 1
4.2%
35.1096229 1
4.2%
ValueCountFrequency (%)
35.84773013 1
4.2%
35.28304107 1
4.2%
35.233748 1
4.2%
35.22236499 1
4.2%
35.21962001 1
4.2%
35.20877341 1
4.2%
35.19956277 1
4.2%
35.17121238 1
4.2%
35.15233872 1
4.2%
35.1357287 1
4.2%

경도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06226
Minimum128.96838
Maximum129.21415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T01:54:38.281117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.96838
5-th percentile129.00185
Q1129.02503
median129.06487
Q3129.09302
95-th percentile129.14576
Maximum129.21415
Range0.2457659
Interquartile range (IQR)0.0679833

Descriptive statistics

Standard deviation0.053770952
Coefficient of variation (CV)0.00041662802
Kurtosis1.4832864
Mean129.06226
Median Absolute Deviation (MAD)0.0318152
Skewness0.86620496
Sum3097.4941
Variance0.0028913153
MonotonicityNot monotonic
2023-12-11T01:54:38.497453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
129.0344753 1
 
4.2%
129.0176007 1
 
4.2%
129.0280717 1
 
4.2%
129.0621288 1
 
4.2%
129.0174306 1
 
4.2%
129.0757581 1
 
4.2%
129.0275125 1
 
4.2%
129.1513666 1
 
4.2%
129.0006821 1
 
4.2%
129.0932577 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
128.9683839 1
4.2%
129.0006821 1
4.2%
129.0084574 1
4.2%
129.0106129 1
4.2%
129.0174306 1
4.2%
129.0176007 1
4.2%
129.0275125 1
4.2%
129.0280717 1
4.2%
129.0324385 1
4.2%
129.0344753 1
4.2%
ValueCountFrequency (%)
129.2141498 1
4.2%
129.1513666 1
4.2%
129.113958 1
4.2%
129.0960689 1
4.2%
129.0959956 1
4.2%
129.0932577 1
4.2%
129.0929379 1
4.2%
129.0911773 1
4.2%
129.0798034 1
4.2%
129.0796917 1
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2023-09-30 00:00:00
Maximum2023-09-30 00:00:00
2023-12-11T01:54:38.714047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:38.856038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:54:32.679657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:32.346893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:32.849921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:32.518514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:38.970766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해설장소명도로명주소전화번호관련기관위도경도
해설장소명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
관련기관1.0001.0001.0001.0001.0000.991
위도1.0001.0001.0001.0001.0000.858
경도1.0001.0001.0000.9910.8581.000
2023-12-11T01:54:39.127848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.353
경도0.3531.000

Missing values

2023-12-11T01:54:33.035456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:33.236863image/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

해설장소명도로명주소해설사명칭전화번호관련기관안내홈페이지위도경도데이터기준일자
040계단문화관(기념관)부산광역시 중구 동광길 49문화관광해설사051-600-4041중구 관광시설 관리사업소https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.105007129.0344752023-09-30
1UN기념공원부산광역시 남구 유엔평화로 93문화관광해설사051-625-0625재한유엔기념공원관리처https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.127397129.0960692023-09-30
2감천문화마을부산광역시 사하구 감내2로 203문화관광해설사051-204-1444감천문화마을 안내센터https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.097484129.0106132023-09-30
3금정산성(동문과남문)부산광역시 동문로 38문화관광해설사051-888-6875푸른도시가꾸기사업소https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.84773129.214152023-09-30
4동삼동패총전시관부산광역시 영도구 태종로 729문화관광해설사051-403-1193동삼동패총전시관 안내센터https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.07118129.0796922023-09-30
5몰운대부산광역시 사하구 다대동 482-6문화관광해설사051-220-4524사하구 창조도시기획단https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.046268128.9683842023-09-30
6백산기념관부산광역시 중구 백산길 11문화관광해설사051-600-4067중구 관광시설 관리사업소https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.10196129.0345682023-09-30
7범어사부산광역시 금정구 범어사로 250문화관광해설사051-508-3122금정구청https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.283041129.0676162023-09-30
8복천박물관부산광역시 동래구 복천로 63문화관광해설사051-554-4263복천박물관https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.208773129.0911772023-09-30
9부산박물관 문화체험관부산광역시 남구 유엔평화로 63문화관광해설사051-610-7156부산박물관https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.129553129.0929382023-09-30
해설장소명도로명주소해설사명칭전화번호관련기관안내홈페이지위도경도데이터기준일자
14충렬사부산광역시 동래구 충렬대로 345문화관광해설사051-523-4223충렬사관리사업소https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.199563129.0959962023-09-30
15태종대부산광역시 영도구 전망로 24문화관광해설사051-405-8745부산시설공단https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.059695129.0798032023-09-30
16UN평화기념관부산광역시 남구 홍곡로320번길 106문화관광해설사051-901-1400유엔평화기념관https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.124754129.0932582023-09-30
17낙동강 생태탐방선부산광역시 북구 강변대로 1629문화관광해설사051-294-2135낙동강관리본부https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.222365129.0006822023-09-30
18누리마루 APEC하우스부산광역시 해운대구 동백로 116문화관광해설사051-743-1974누리마루 APEC하우스https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.152339129.1513672023-09-30
19부산광복기념관부산광역시 서구 망양로193번길 167문화관광해설사051-860-7819부산광복기념관https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.111304129.0275132023-09-30
20금강공원부산광역시 동래구 온천동 우장춘로 155문화관광해설사051-860-7880금강공원https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.21962129.0757582023-09-30
21부산시민공원 역사관부산광역시 부산진구 시민공원로 73문화관광해설사051-850-6061임시수도기념관https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.103541129.0174312023-09-30
22조선통신사역사관부산광역시 동구 자성로 99문화관광해설사051-631-0858부산문화재단https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.135729129.0621292023-09-30
23민주항쟁기념관부산광역시 중구 민주공원길 19문화관광해설사051-790-7407민주공원https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.109623129.0280722023-09-30