Overview

Dataset statistics

Number of variables20
Number of observations25
Missing cells15
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory168.1 B

Variable types

Text5
Categorical4
DateTime5
Numeric3
Boolean3

Dataset

Description문화관광해설사의 집 정보를 제공합니다. 공공데이터 제공 표준데이터 속성정보(표현형식/단위 등)는 [공공데이터 제공 표준]고시를 참고하시기 바랍니다.(정보공유>자료실>법령(고시)/지침) 각 기관에서 등록한 표준데이터를 취합하여 제공합니다. 표준데이터의 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author부산관광공사
URLhttps://www.data.go.kr/data/15112288/fileData.do

Alerts

운영시작시각(하절기) has constant value ""Constant
운영시작시각(동절기) has constant value ""Constant
데이터기준일자 has constant value ""Constant
중국어안내가능여부 is highly overall correlated with 시도명 and 2 other fieldsHigh correlation
운영기관명 is highly overall correlated with 평균근무인원수 and 8 other fieldsHigh correlation
시도명 is highly overall correlated with 평균근무인원수 and 8 other fieldsHigh correlation
홈페이지주소 is highly overall correlated with 평균근무인원수 and 8 other fieldsHigh correlation
영어안내가능여부 is highly overall correlated with 시도명 and 3 other fieldsHigh correlation
휴무일 is highly overall correlated with 경도 and 4 other fieldsHigh correlation
일본어안내가능여부 is highly overall correlated with 시도명 and 2 other fieldsHigh correlation
평균근무인원수 is highly overall correlated with 시도명 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 시도명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 시도명 and 3 other fieldsHigh correlation
시도명 is highly imbalanced (75.8%)Imbalance
운영기관명 is highly imbalanced (59.8%)Imbalance
홈페이지주소 is highly imbalanced (75.8%)Imbalance
해설사의 집명 has 1 (4.0%) missing valuesMissing
해설사의집 위치명 has 1 (4.0%) missing valuesMissing
시군구명 has 1 (4.0%) missing valuesMissing
운영시작시각(하절기) has 1 (4.0%) missing valuesMissing
운영종료시각(하절기) has 1 (4.0%) missing valuesMissing
운영시작시각(동절기) has 1 (4.0%) missing valuesMissing
운영종료시각(동절기) has 1 (4.0%) missing valuesMissing
영어안내가능여부 has 1 (4.0%) missing valuesMissing
일본어안내가능여부 has 1 (4.0%) missing valuesMissing
중국어안내가능여부 has 1 (4.0%) missing valuesMissing
해설사의 집전화번호 has 1 (4.0%) missing valuesMissing
소재지도로명주소 has 1 (4.0%) missing valuesMissing
위도 has 1 (4.0%) missing valuesMissing
경도 has 1 (4.0%) missing valuesMissing
데이터기준일자 has 1 (4.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 17:12:03.644787
Analysis finished2024-03-14 17:12:10.939951
Duration7.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해설사의 집명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T02:12:11.725969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.4166667
Min length3

Characters and Unicode

Total characters154
Distinct characters83
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
2nd rowUN기념공원
3rd row감천문화마을
4th row동삼동패총전시관
5th row몰운대
ValueCountFrequency (%)
40계단문화관 1
 
3.8%
un기념공원 1
 
3.8%
부산근현대역사관(별관 1
 
3.8%
민주항쟁기념관 1
 
3.8%
역사관 1
 
3.8%
조선통신사 1
 
3.8%
부산시민공원 1
 
3.8%
광복기념관 1
 
3.8%
낙동강생태탐방선 1
 
3.8%
하우스 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T02:12:12.802480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 14
 
9.1%
사 6
 
3.9%
념 6
 
3.9%
기 6
 
3.9%
산 6
 
3.9%
공 5
 
3.2%
원 5
 
3.2%
화 4
 
2.6%
부 4
 
2.6%
문 3
 
1.9%
Other values (73) 95
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
90.9%
Uppercase Letter 8
 
5.2%
Space Separator 2
 
1.3%
Decimal Number 2
 
1.3%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 14
 
10.0%
사 6
 
4.3%
념 6
 
4.3%
기 6
 
4.3%
산 6
 
4.3%
공 5
 
3.6%
원 5
 
3.6%
화 4
 
2.9%
부 4
 
2.9%
문 3
 
2.1%
Other values (62) 81
57.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
25.0%
U 2
25.0%
C 1
12.5%
E 1
12.5%
P 1
12.5%
A 1
12.5%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
90.9%
Latin 8
 
5.2%
Common 6
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 14
 
10.0%
사 6
 
4.3%
념 6
 
4.3%
기 6
 
4.3%
산 6
 
4.3%
공 5
 
3.6%
원 5
 
3.6%
화 4
 
2.9%
부 4
 
2.9%
문 3
 
2.1%
Other values (62) 81
57.9%
Latin
ValueCountFrequency (%)
N 2
25.0%
U 2
25.0%
C 1
12.5%
E 1
12.5%
P 1
12.5%
A 1
12.5%
Common
ValueCountFrequency (%)
2
33.3%
4 1
16.7%
( 1
16.7%
) 1
16.7%
0 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
90.9%
ASCII 14
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 14
 
10.0%
사 6
 
4.3%
념 6
 
4.3%
기 6
 
4.3%
산 6
 
4.3%
공 5
 
3.6%
원 5
 
3.6%
화 4
 
2.9%
부 4
 
2.9%
문 3
 
2.1%
Other values (62) 81
57.9%
ASCII
ValueCountFrequency (%)
2
14.3%
N 2
14.3%
U 2
14.3%
4 1
7.1%
C 1
7.1%
E 1
7.1%
P 1
7.1%
( 1
7.1%
) 1
7.1%
A 1
7.1%

해설사의집 위치명
Text

MISSING 

Distinct20
Distinct (%)83.3%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T02:12:13.376158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)70.8%

Sample

1st row중앙동
2nd row대연동
3rd row감천동
4th row동삼동
5th row다대동
ValueCountFrequency (%)
대연동 3
 
12.5%
광복동 2
 
8.3%
동삼동 2
 
8.3%
우동 1
 
4.2%
온천동 1
 
4.2%
대청동 1
 
4.2%
영주동 1
 
4.2%
범일동 1
 
4.2%
범전동 1
 
4.2%
하단동 1
 
4.2%
Other values (10) 10
41.7%
2024-03-15T02:12:14.206676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 27
38.0%
대 5
 
7.0%
복 3
 
4.2%
연 3
 
4.2%
천 3
 
4.2%
광 3
 
4.2%
청 2
 
2.8%
범 2
 
2.8%
삼 2
 
2.8%
영 2
 
2.8%
Other values (19) 19
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
38.0%
대 5
 
7.0%
복 3
 
4.2%
연 3
 
4.2%
천 3
 
4.2%
광 3
 
4.2%
청 2
 
2.8%
범 2
 
2.8%
삼 2
 
2.8%
영 2
 
2.8%
Other values (19) 19
26.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
38.0%
대 5
 
7.0%
복 3
 
4.2%
연 3
 
4.2%
천 3
 
4.2%
광 3
 
4.2%
청 2
 
2.8%
범 2
 
2.8%
삼 2
 
2.8%
영 2
 
2.8%
Other values (19) 19
26.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 27
38.0%
대 5
 
7.0%
복 3
 
4.2%
연 3
 
4.2%
천 3
 
4.2%
광 3
 
4.2%
청 2
 
2.8%
범 2
 
2.8%
삼 2
 
2.8%
영 2
 
2.8%
Other values (19) 19
26.8%

시도명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
부산광역시
24 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.96
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 24
96.0%
<NA> 1
 
4.0%

Length

2024-03-15T02:12:14.488687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:12:14.742074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 24
96.0%
na 1
 
4.0%

시군구명
Text

MISSING 

Distinct12
Distinct (%)50.0%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T02:12:15.167954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.5
Min length2

Characters and Unicode

Total characters60
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)29.2%

Sample

1st row중구
2nd row남구
3rd row사하구
4th row영도구
5th row사하구
ValueCountFrequency (%)
중구 6
25.0%
남구 3
12.5%
사하구 3
12.5%
동래구 3
12.5%
영도구 2
 
8.3%
금정구 1
 
4.2%
북구 1
 
4.2%
수영구 1
 
4.2%
서구 1
 
4.2%
해운대구 1
 
4.2%
Other values (2) 2
 
8.3%
2024-03-15T02:12:15.986355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 24
40.0%
중 6
 
10.0%
동 4
 
6.7%
남 3
 
5.0%
사 3
 
5.0%
하 3
 
5.0%
래 3
 
5.0%
영 3
 
5.0%
도 2
 
3.3%
서 1
 
1.7%
Other values (8) 8
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 24
40.0%
중 6
 
10.0%
동 4
 
6.7%
남 3
 
5.0%
사 3
 
5.0%
하 3
 
5.0%
래 3
 
5.0%
영 3
 
5.0%
도 2
 
3.3%
서 1
 
1.7%
Other values (8) 8
 
13.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 24
40.0%
중 6
 
10.0%
동 4
 
6.7%
남 3
 
5.0%
사 3
 
5.0%
하 3
 
5.0%
래 3
 
5.0%
영 3
 
5.0%
도 2
 
3.3%
서 1
 
1.7%
Other values (8) 8
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 24
40.0%
중 6
 
10.0%
동 4
 
6.7%
남 3
 
5.0%
사 3
 
5.0%
하 3
 
5.0%
래 3
 
5.0%
영 3
 
5.0%
도 2
 
3.3%
서 1
 
1.7%
Other values (8) 8
 
13.3%

휴무일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
월,설,추석
12 
설, 추석
8 
월,화,수,설,추석
2 
연중무휴
 
1
일,월,화,수,목
 
1

Length

Max length10
Median length9
Mean length5.96
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row월,설,추석
2nd row설, 추석
3rd row설, 추석
4th row월,화,수,설,추석
5th row설, 추석

Common Values

ValueCountFrequency (%)
월,설,추석 12
48.0%
설, 추석 8
32.0%
월,화,수,설,추석 2
 
8.0%
연중무휴 1
 
4.0%
일,월,화,수,목 1
 
4.0%
<NA> 1
 
4.0%

Length

2024-03-15T02:12:16.453965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:12:16.827084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월,설,추석 12
36.4%
설 8
24.2%
추석 8
24.2%
월,화,수,설,추석 2
 
6.1%
연중무휴 1
 
3.0%
일,월,화,수,목 1
 
3.0%
na 1
 
3.0%

운영시작시각(하절기)
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)4.2%
Missing1
Missing (%)4.0%
Memory size328.0 B
Minimum2024-03-15 10:00:00
Maximum2024-03-15 10:00:00
2024-03-15T02:12:17.145186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:17.446638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

운영종료시각(하절기)
Date

MISSING 

Distinct2
Distinct (%)8.3%
Missing1
Missing (%)4.0%
Memory size328.0 B
Minimum2024-03-15 16:30:00
Maximum2024-03-15 17:00:00
2024-03-15T02:12:17.748627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:17.934049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

운영시작시각(동절기)
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)4.2%
Missing1
Missing (%)4.0%
Memory size328.0 B
Minimum2024-03-15 10:00:00
Maximum2024-03-15 10:00:00
2024-03-15T02:12:18.198216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:18.384792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

운영종료시각(동절기)
Date

MISSING 

Distinct2
Distinct (%)8.3%
Missing1
Missing (%)4.0%
Memory size328.0 B
Minimum2024-03-15 16:30:00
Maximum2024-03-15 17:00:00
2024-03-15T02:12:18.536027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:18.827932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

평균근무인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.16
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T02:12:19.079446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q35
95-th percentile6.8
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.344123
Coefficient of variation (CV)0.32310649
Kurtosis-0.24050927
Mean4.16
Median Absolute Deviation (MAD)1
Skewness0.69163956
Sum104
Variance1.8066667
MonotonicityNot monotonic
2024-03-15T02:12:19.358520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 9
36.0%
4 6
24.0%
5 5
20.0%
7 2
 
8.0%
6 2
 
8.0%
2 1
 
4.0%
ValueCountFrequency (%)
2 1
 
4.0%
3 9
36.0%
4 6
24.0%
5 5
20.0%
6 2
 
8.0%
7 2
 
8.0%
ValueCountFrequency (%)
7 2
 
8.0%
6 2
 
8.0%
5 5
20.0%
4 6
24.0%
3 9
36.0%
2 1
 
4.0%

영어안내가능여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)8.3%
Missing1
Missing (%)4.0%
Memory size178.0 B
True
19 
False
5 
(Missing)
 
1
ValueCountFrequency (%)
True 19
76.0%
False 5
 
20.0%
(Missing) 1
 
4.0%
2024-03-15T02:12:19.528270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일본어안내가능여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)8.3%
Missing1
Missing (%)4.0%
Memory size178.0 B
True
17 
False
7 
(Missing)
 
1
ValueCountFrequency (%)
True 17
68.0%
False 7
28.0%
(Missing) 1
 
4.0%
2024-03-15T02:12:19.720858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중국어안내가능여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)8.3%
Missing1
Missing (%)4.0%
Memory size178.0 B
True
12 
False
12 
(Missing)
 
1
ValueCountFrequency (%)
True 12
48.0%
False 12
48.0%
(Missing) 1
 
4.0%
2024-03-15T02:12:19.935964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해설사의 집전화번호
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T02:12:20.628932image/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

Unique22 ?
Unique (%)91.7%

Sample

1st row051-600-4046
2nd row051-625-0625
3rd row051-204-1444
4th row051-403-1193
5th row051-220-4524
ValueCountFrequency (%)
051-403-1193 2
 
8.3%
051-888-7218 1
 
4.2%
051-860-7880 1
 
4.2%
051-607-8045 1
 
4.2%
051-790-7407 1
 
4.2%
051-631-0858 1
 
4.2%
051-850-6061 1
 
4.2%
051-860-7800 1
 
4.2%
051-294-2135 1
 
4.2%
051-743-1974 1
 
4.2%
Other values (13) 13
54.2%
2024-03-15T02:12:21.764761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
18.8%
- 48
16.7%
1 40
13.9%
5 39
13.5%
4 24
8.3%
8 20
 
6.9%
6 17
 
5.9%
2 15
 
5.2%
7 13
 
4.5%
3 12
 
4.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
22.5%
1 40
16.7%
5 39
16.2%
4 24
10.0%
8 20
 
8.3%
6 17
 
7.1%
2 15
 
6.2%
7 13
 
5.4%
3 12
 
5.0%
9 6
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
18.8%
- 48
16.7%
1 40
13.9%
5 39
13.5%
4 24
8.3%
8 20
 
6.9%
6 17
 
5.9%
2 15
 
5.2%
7 13
 
4.5%
3 12
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
18.8%
- 48
16.7%
1 40
13.9%
5 39
13.5%
4 24
8.3%
8 20
 
6.9%
6 17
 
5.9%
2 15
 
5.2%
7 13
 
4.5%
3 12
 
4.2%

소재지도로명주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size328.0 B
2024-03-15T02:12:22.571153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length19.541667
Min length13

Characters and Unicode

Total characters469
Distinct characters92
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

Unique24 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 동광길 49(동광동5가)
2nd row부산광역시 남구 유엔평화로 93
3rd row부산광역시 사하구 감천동 9-3,감천문화마을제2안내소
4th row부산광역시 영도구 태종로 729(동삼동)
5th row부산광역시 사하구 몰운대1길 73(다대동)
ValueCountFrequency (%)
부산광역시 22
 
22.0%
중구 5
 
5.0%
사하구 3
 
3.0%
남구 3
 
3.0%
동래구 3
 
3.0%
서구 2
 
2.0%
영도구 2
 
2.0%
347 1
 
1.0%
감지해변길 1
 
1.0%
79 1
 
1.0%
Other values (57) 57
57.0%
2024-03-15T02:12:23.901404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
16.2%
산 26
 
5.5%
부 25
 
5.3%
광 25
 
5.3%
시 25
 
5.3%
구 24
 
5.1%
역 22
 
4.7%
동 18
 
3.8%
로 17
 
3.6%
3 13
 
2.8%
Other values (82) 198
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
64.8%
Space Separator 76
 
16.2%
Decimal Number 75
 
16.0%
Open Punctuation 5
 
1.1%
Close Punctuation 5
 
1.1%
Dash Punctuation 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 26
 
8.6%
부 25
 
8.2%
광 25
 
8.2%
시 25
 
8.2%
구 24
 
7.9%
역 22
 
7.2%
동 18
 
5.9%
로 17
 
5.6%
길 8
 
2.6%
대 5
 
1.6%
Other values (67) 109
35.9%
Decimal Number
ValueCountFrequency (%)
3 13
17.3%
1 13
17.3%
9 10
13.3%
5 9
12.0%
2 8
10.7%
7 7
9.3%
4 5
 
6.7%
0 5
 
6.7%
6 4
 
5.3%
8 1
 
1.3%
Space Separator
ValueCountFrequency (%)
76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
64.8%
Common 165
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 26
 
8.6%
부 25
 
8.2%
광 25
 
8.2%
시 25
 
8.2%
구 24
 
7.9%
역 22
 
7.2%
동 18
 
5.9%
로 17
 
5.6%
길 8
 
2.6%
대 5
 
1.6%
Other values (67) 109
35.9%
Common
ValueCountFrequency (%)
76
46.1%
3 13
 
7.9%
1 13
 
7.9%
9 10
 
6.1%
5 9
 
5.5%
2 8
 
4.8%
7 7
 
4.2%
4 5
 
3.0%
0 5
 
3.0%
( 5
 
3.0%
Other values (5) 14
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
64.8%
ASCII 165
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
46.1%
3 13
 
7.9%
1 13
 
7.9%
9 10
 
6.1%
5 9
 
5.5%
2 8
 
4.8%
7 7
 
4.2%
4 5
 
3.0%
0 5
 
3.0%
( 5
 
3.0%
Other values (5) 14
 
8.5%
Hangul
ValueCountFrequency (%)
산 26
 
8.6%
부 25
 
8.2%
광 25
 
8.2%
시 25
 
8.2%
구 24
 
7.9%
역 22
 
7.2%
동 18
 
5.9%
로 17
 
5.6%
길 8
 
2.6%
대 5
 
1.6%
Other values (67) 109
35.9%

운영기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
부산광역시
23 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.92
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 23
92.0%
<NA> 2
 
8.0%

Length

2024-03-15T02:12:24.318892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:12:24.627855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 23
92.0%
na 2
 
8.0%

홈페이지주소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
https://www.visitbusan.net/index.do?menuCd=DOM_000000203013000000
24 
<NA>
 
1

Length

Max length65
Median length65
Mean length62.56
Min length4

Unique

Unique1 ?
Unique (%)4.0%

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
96.0%
<NA> 1
 
4.0%

Length

2024-03-15T02:12:24.971390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:12:25.286731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menucd=dom_000000203013000000 24
96.0%
na 1
 
4.0%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean35.136454
Minimum35.04506
Maximum35.283536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T02:12:25.604341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.04506
5-th percentile35.06137
Q135.102478
median35.118311
Q335.168098
95-th percentile35.231637
Maximum35.283536
Range0.23847579
Interquartile range (IQR)0.06561933

Descriptive statistics

Standard deviation0.058152543
Coefficient of variation (CV)0.0016550487
Kurtosis0.44546427
Mean35.136454
Median Absolute Deviation (MAD)0.0192125
Skewness0.86973338
Sum843.2749
Variance0.0033817183
MonotonicityNot monotonic
2024-03-15T02:12:25.995369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.10503 1
 
4.0%
35.20117954 1
 
4.0%
35.219826 1
 
4.0%
35.102657 1
 
4.0%
35.11026123 1
 
4.0%
35.13581 1
 
4.0%
35.167164 1
 
4.0%
35.111885 1
 
4.0%
35.110455 1
 
4.0%
35.152206 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
35.04506 1
4.0%
35.05963872 1
4.0%
35.071182 1
4.0%
35.097385 1
4.0%
35.10092315 1
4.0%
35.10194196 1
4.0%
35.102657 1
4.0%
35.10354059 1
4.0%
35.10503 1
4.0%
35.11026123 1
4.0%
ValueCountFrequency (%)
35.28353579 1
4.0%
35.23372173 1
4.0%
35.219826 1
4.0%
35.20877508 1
4.0%
35.20117954 1
4.0%
35.17089828 1
4.0%
35.167164 1
4.0%
35.152206 1
4.0%
35.13581 1
4.0%
35.12952612 1
4.0%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean129.05431
Minimum128.94919
Maximum129.15152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T02:12:26.371830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.94919
5-th percentile128.97501
Q1129.02824
median129.0582
Q3129.09168
95-th percentile129.11155
Maximum129.15152
Range0.20233
Interquartile range (IQR)0.063441975

Descriptive statistics

Standard deviation0.046637488
Coefficient of variation (CV)0.00036137876
Kurtosis0.17837582
Mean129.05431
Median Absolute Deviation (MAD)0.03169695
Skewness-0.27573634
Sum3097.3035
Variance0.0021750553
MonotonicityNot monotonic
2024-03-15T02:12:26.886281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
129.03438 1
 
4.0%
129.0957814 1
 
4.0%
129.07635 1
 
4.0%
129.03122 1
 
4.0%
129.0277653 1
 
4.0%
129.06206 1
 
4.0%
129.05434 1
 
4.0%
129.0284 1
 
4.0%
128.94919 1
 
4.0%
129.15152 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
128.94919 1
4.0%
128.96909 1
4.0%
129.0085435 1
4.0%
129.00996 1
4.0%
129.0173787 1
4.0%
129.0277653 1
4.0%
129.0284 1
4.0%
129.03122 1
4.0%
129.032452 1
4.0%
129.03438 1
4.0%
ValueCountFrequency (%)
129.15152 1
4.0%
129.1143301 1
4.0%
129.0957814 1
4.0%
129.0954175 1
4.0%
129.0943709 1
4.0%
129.0932556 1
4.0%
129.0911592 1
4.0%
129.0799691 1
4.0%
129.07968 1
4.0%
129.07635 1
4.0%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)4.2%
Missing1
Missing (%)4.0%
Memory size328.0 B
Minimum2024-02-26 00:00:00
Maximum2024-02-26 00:00:00
2024-03-15T02:12:27.236290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:27.545684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:12:07.830130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:05.657680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:06.816137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:08.128369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:05.975802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:07.088245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:08.350769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:06.486267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:12:07.406478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:12:27.785502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해설사의 집명해설사의집 위치명시군구명휴무일운영종료시각(하절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소위도경도
해설사의 집명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
해설사의집 위치명1.0001.0001.0000.8721.0001.0000.0001.0000.0000.3270.9671.0000.9360.987
시군구명1.0001.0001.0000.5980.0000.0000.6030.6940.0000.0000.9681.0000.9360.945
휴무일1.0000.8720.5981.0000.0000.0000.4030.4540.0000.1670.6091.0000.7290.775
운영종료시각(하절기)1.0001.0000.0000.0001.0000.6400.7780.0000.0000.0001.0001.0000.0000.000
운영종료시각(동절기)1.0001.0000.0000.0000.6401.0000.7780.0000.0000.0001.0001.0000.0000.000
평균근무인원수1.0000.0000.6030.4030.7780.7781.0000.4810.0000.1430.0001.0000.7370.000
영어안내가능여부1.0001.0000.6940.4540.0000.0000.4811.0000.1150.0340.0001.0000.4690.433
일본어안내가능여부1.0000.0000.0000.0000.0000.0000.0000.1151.0000.0000.0001.0000.0000.000
중국어안내가능여부1.0000.3270.0000.1670.0000.0000.1430.0340.0001.0000.0001.0000.0000.000
해설사의 집전화번호1.0000.9670.9680.6091.0001.0000.0000.0000.0000.0001.0001.0000.7510.957
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.9360.9360.7290.0000.0000.7370.4690.0000.0000.7511.0001.0000.927
경도1.0000.9870.9450.7750.0000.0000.0000.4330.0000.0000.9571.0000.9271.000
2024-03-15T02:12:28.148526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중국어안내가능여부운영기관명시도명홈페이지주소영어안내가능여부휴무일일본어안내가능여부
중국어안내가능여부1.0001.0001.0001.0000.0000.1690.000
운영기관명1.0001.0001.0001.0001.0001.0001.000
시도명1.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.000
영어안내가능여부0.0001.0001.0001.0001.0000.5080.059
휴무일0.1691.0001.0001.0000.5081.0000.000
일본어안내가능여부0.0001.0001.0001.0000.0590.0001.000
2024-03-15T02:12:28.677025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평균근무인원수위도경도시도명휴무일영어안내가능여부일본어안내가능여부중국어안내가능여부운영기관명홈페이지주소
평균근무인원수1.0000.1750.4651.0000.2610.3010.0000.0001.0001.000
위도0.1751.0000.4041.0000.4610.3730.0000.0001.0001.000
경도0.4650.4041.0001.0000.5100.2960.0000.0001.0001.000
시도명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
휴무일0.2610.4610.5101.0001.0000.5080.0000.1691.0001.000
영어안내가능여부0.3010.3730.2961.0000.5081.0000.0590.0001.0001.000
일본어안내가능여부0.0000.0000.0001.0000.0000.0591.0000.0001.0001.000
중국어안내가능여부0.0000.0000.0001.0000.1690.0000.0001.0001.0001.000
운영기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T02:12:08.777583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:12:09.729104image/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.
2024-03-15T02:12:10.340319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

해설사의 집명해설사의집 위치명시도명시군구명휴무일운영시작시각(하절기)운영종료시각(하절기)운영시작시각(동절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소운영기관명홈페이지주소위도경도데이터기준일자
040계단문화관중앙동부산광역시중구월,설,추석10:0017:0010:0017:003NYY051-600-4046부산광역시 중구 동광길 49(동광동5가)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.10503129.034382024-02-26
1UN기념공원대연동부산광역시남구설, 추석10:0017:0010:0017:005YNY051-625-0625부산광역시 남구 유엔평화로 93부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.127562129.0954172024-02-26
2감천문화마을감천동부산광역시사하구설, 추석10:0016:3010:0016:307YYY051-204-1444부산광역시 사하구 감천동 9-3,감천문화마을제2안내소부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.097385129.009962024-02-26
3동삼동패총전시관동삼동부산광역시영도구월,화,수,설,추석10:0017:0010:0017:002NYN051-403-1193부산광역시 영도구 태종로 729(동삼동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.071182129.079682024-02-26
4몰운대다대동부산광역시사하구설, 추석10:0017:0010:0017:003YNN051-220-4524부산광역시 사하구 몰운대1길 73(다대동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.04506128.969092024-02-26
5백산기념관동광동부산광역시중구월,설,추석10:0017:0010:0017:003YNY051-403-1193부산시 중구 동광동 3가 10-2부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.101942129.0345722024-02-26
6범어사청룡동부산광역시금정구설, 추석10:0017:0010:0017:007YYY051-508-3122부산광역시 금정구 범어사로 250(청룡동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.283536129.0723452024-02-26
7복천박물관복천동부산광역시동래구월,설,추석10:0017:0010:0017:004YNY051-554-4263부산광역시 동래구 복천로 63부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.208775129.0911592024-02-26
8부산박물관문화체험관대연동부산광역시남구월,설,추석10:0017:0010:0017:006YYY051-610-7156부산 남구 유엔로 152부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.129526129.0943712024-02-26
9부산어촌민속관화명동부산광역시북구월,설,추석10:0017:0010:0017:003YYN051-550-8880부산광역시 북구 학사로 128(화명동)부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.233722129.0085442024-02-26
해설사의 집명해설사의집 위치명시도명시군구명휴무일운영시작시각(하절기)운영종료시각(하절기)운영시작시각(동절기)운영종료시각(동절기)평균근무인원수영어안내가능여부일본어안내가능여부중국어안내가능여부해설사의 집전화번호소재지도로명주소운영기관명홈페이지주소위도경도데이터기준일자
15UN평화기념관대연동부산광역시남구월,설,추석10:0017:0010:0017:005YNN051-901-1408부산광역시 남구 홍곡로320번길 106부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.124738129.0932562024-02-26
16누리마루APEC 하우스우동부산광역시해운대구연중무휴10:0017:0010:0017:005NYY051-743-1974부산광역시 해운대구 동백로 116부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.152206129.151522024-02-26
17낙동강생태탐방선하단동부산광역시사하구일,월,화,수,목10:0017:0010:0017:003NYY051-294-2135부산광역시 사하구 낙동남로 1233번길 59부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.110455128.949192024-02-26
18광복기념관광복동부산광역시중구월,설,추석10:0017:0010:0017:003YNN051-860-7800부산광역시 서구 망양로 193번길 167부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.111885129.02842024-02-26
19부산시민공원범전동부산광역시진구월,설,추석10:0017:0010:0017:003YNN051-850-6061부산광역시 부산진구 시민공원로 73부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.167164129.054342024-02-26
20조선통신사 역사관범일동부산광역시동구월,설,추석10:0017:0010:0017:004YYY051-631-0858부산광역시 동구 자성로 99부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.13581129.062062024-02-26
21민주항쟁기념관영주동부산광역시중구월,설,추석10:0017:0010:0017:003YYN051-790-7407부산광역시 중구 민주공원길 19부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.110261129.0277652024-02-26
22부산근현대역사관(별관)대청동부산광역시중구월,설,추석10:0017:0010:0017:004YYN051-607-8045부산광역시 중구 대청로 104부산광역시https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.102657129.031222024-02-26
23금강공원온천동부산광역시동래구월,화,수,설,추석10:0017:0010:0017:003YYN051-860-7880부산광역시 동래구 온천동 우장춘로 155<NA>https://www.visitbusan.net/index.do?menuCd=DOM_00000020301300000035.219826129.076352024-02-26
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