Overview

Dataset statistics

Number of variables10
Number of observations58
Missing cells18
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory86.2 B

Variable types

Text4
Numeric4
Categorical1
DateTime1

Dataset

Description울산광역시 문화시설(문예회관, 공연장, 공공도서관, 박물관, 미술관) 현황에 대한 정보를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/3077422/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
사이트주소 has 5 (8.6%) missing valuesMissing
공연장 좌석수 도서관 열람석수 has 13 (22.4%) missing valuesMissing
시설 has unique valuesUnique
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:04:44.582770
Analysis finished2024-03-14 11:04:50.595941
Duration6.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-14T20:04:51.295288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.9482759
Min length4

Characters and Unicode

Total characters461
Distinct characters130
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row울산문화예술회관 대공연장
2nd row울산문화예술회관 소공연장
3rd row중구문화의전당
4th row꽃바위문화관
5th row울산북구문화예술회관
ValueCountFrequency (%)
아트홀 3
 
3.8%
공연장 3
 
3.8%
울산문화예술회관 2
 
2.6%
대공연장 2
 
2.6%
현대예술관 2
 
2.6%
소공연장 2
 
2.6%
소극장 2
 
2.6%
남목도서관 1
 
1.3%
염포양정도서관 1
 
1.3%
농소1동도서관 1
 
1.3%
Other values (59) 59
75.6%
2024-03-14T20:04:52.580430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 41
 
8.9%
울 25
 
5.4%
도 21
 
4.6%
서 21
 
4.6%
20
 
4.3%
산 19
 
4.1%
문 12
 
2.6%
화 12
 
2.6%
장 12
 
2.6%
공 10
 
2.2%
Other values (120) 268
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
92.2%
Space Separator 20
 
4.3%
Uppercase Letter 14
 
3.0%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 41
 
9.6%
울 25
 
5.9%
도 21
 
4.9%
서 21
 
4.9%
산 19
 
4.5%
문 12
 
2.8%
화 12
 
2.8%
장 12
 
2.8%
공 10
 
2.4%
박 9
 
2.1%
Other values (107) 243
57.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
L 2
14.3%
K 2
14.3%
C 1
 
7.1%
E 1
 
7.1%
H 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
J 1
 
7.1%
W 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
92.2%
Common 22
 
4.8%
Latin 14
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 41
 
9.6%
울 25
 
5.9%
도 21
 
4.9%
서 21
 
4.9%
산 19
 
4.5%
문 12
 
2.8%
화 12
 
2.8%
장 12
 
2.8%
공 10
 
2.4%
박 9
 
2.1%
Other values (107) 243
57.2%
Latin
ValueCountFrequency (%)
A 3
21.4%
L 2
14.3%
K 2
14.3%
C 1
 
7.1%
E 1
 
7.1%
H 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
J 1
 
7.1%
W 1
 
7.1%
Common
ValueCountFrequency (%)
20
90.9%
1 1
 
4.5%
3 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
92.2%
ASCII 36
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 41
 
9.6%
울 25
 
5.9%
도 21
 
4.9%
서 21
 
4.9%
산 19
 
4.5%
문 12
 
2.8%
화 12
 
2.8%
장 12
 
2.8%
공 10
 
2.4%
박 9
 
2.1%
Other values (107) 243
57.2%
ASCII
ValueCountFrequency (%)
20
55.6%
A 3
 
8.3%
L 2
 
5.6%
K 2
 
5.6%
1 1
 
2.8%
3 1
 
2.8%
C 1
 
2.8%
E 1
 
2.8%
H 1
 
2.8%
T 1
 
2.8%
Other values (3) 3
 
8.3%

위도
Real number (ℝ)

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.551535
Minimum35.361831
Maximum35.662206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-03-14T20:04:52.989057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.361831
5-th percentile35.436294
Q135.533489
median35.555395
Q335.574644
95-th percentile35.637832
Maximum35.662206
Range0.300375
Interquartile range (IQR)0.041155

Descriptive statistics

Standard deviation0.055688968
Coefficient of variation (CV)0.0015664294
Kurtosis2.251405
Mean35.551535
Median Absolute Deviation (MAD)0.019915755
Skewness-0.82336192
Sum2061.989
Variance0.0031012612
MonotonicityNot monotonic
2024-03-14T20:04:53.428981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.54351347 2
 
3.4%
35.5228587 2
 
3.4%
35.539253 1
 
1.7%
35.545413 1
 
1.7%
35.64656 1
 
1.7%
35.629262 1
 
1.7%
35.531857 1
 
1.7%
35.633233 1
 
1.7%
35.58425 1
 
1.7%
35.555163 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
35.361831 1
1.7%
35.413011 1
1.7%
35.435242 1
1.7%
35.43648 1
1.7%
35.46125276 1
1.7%
35.48705645 1
1.7%
35.502879 1
1.7%
35.503522 1
1.7%
35.5228587 2
3.4%
35.527319 1
1.7%
ValueCountFrequency (%)
35.662206 1
1.7%
35.654928 1
1.7%
35.64656 1
1.7%
35.63629138 1
1.7%
35.633233 1
1.7%
35.630937 1
1.7%
35.629262 1
1.7%
35.61928 1
1.7%
35.608181 1
1.7%
35.58425 1
1.7%

경도
Real number (ℝ)

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.3158
Minimum129.13138
Maximum129.43619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-03-14T20:04:53.842206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.13138
5-th percentile129.17043
Q1129.27985
median129.3273
Q3129.35467
95-th percentile129.4275
Maximum129.43619
Range0.3048095
Interquartile range (IQR)0.074821

Descriptive statistics

Standard deviation0.069440727
Coefficient of variation (CV)0.00053698563
Kurtosis0.61131946
Mean129.3158
Median Absolute Deviation (MAD)0.0320114
Skewness-0.69464175
Sum7500.3165
Variance0.0048220146
MonotonicityNot monotonic
2024-03-14T20:04:54.277992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.3272958 2
 
3.4%
129.4316894 2
 
3.4%
129.264816 1
 
1.7%
129.426763 1
 
1.7%
129.358871 1
 
1.7%
129.354465 1
 
1.7%
129.393774 1
 
1.7%
129.335587 1
 
1.7%
129.367298 1
 
1.7%
129.355074 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
129.1313815 1
1.7%
129.137769 1
1.7%
129.169208 1
1.7%
129.170651 1
1.7%
129.2077742 1
1.7%
129.225122 1
1.7%
129.229598 1
1.7%
129.2320736 1
1.7%
129.237416 1
1.7%
129.255255 1
1.7%
ValueCountFrequency (%)
129.436191 1
1.7%
129.4316894 2
3.4%
129.426763 1
1.7%
129.425062 1
1.7%
129.4112617 1
1.7%
129.393774 1
1.7%
129.380755 1
1.7%
129.367308 1
1.7%
129.367298 1
1.7%
129.3607092 1
1.7%

주소
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-14T20:04:55.571950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28.5
Mean length23.758621
Min length16

Characters and Unicode

Total characters1378
Distinct characters137
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

Unique54 ?
Unique (%)93.1%

Sample

1st row울산광역시 남구 번영로 200(달동)
2nd row울산광역시 남구 번영로 200(달동)
3rd row울산광역시 중구 종가로 405(성안동)
4th row울산광역시 동구 문현3길 6(방어동)
5th row울산광역시 북구 산업로 1000(연암동)
ValueCountFrequency (%)
울산광역시 57
 
20.7%
남구 17
 
6.2%
울주군 13
 
4.7%
중구 12
 
4.4%
북구 11
 
4.0%
동구 5
 
1.8%
번영로 4
 
1.5%
온양읍 3
 
1.1%
6 3
 
1.1%
범서읍 3
 
1.1%
Other values (136) 147
53.5%
2024-03-14T20:04:57.323002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
16.0%
울 71
 
5.2%
산 68
 
4.9%
역 58
 
4.2%
시 58
 
4.2%
광 57
 
4.1%
) 51
 
3.7%
( 51
 
3.7%
동 49
 
3.6%
1 49
 
3.6%
Other values (127) 645
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 846
61.4%
Space Separator 221
 
16.0%
Decimal Number 191
 
13.9%
Close Punctuation 51
 
3.7%
Open Punctuation 51
 
3.7%
Dash Punctuation 10
 
0.7%
Other Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 71
 
8.4%
산 68
 
8.0%
역 58
 
6.9%
시 58
 
6.9%
광 57
 
6.7%
동 49
 
5.8%
구 48
 
5.7%
로 37
 
4.4%
길 25
 
3.0%
남 21
 
2.5%
Other values (112) 354
41.8%
Decimal Number
ValueCountFrequency (%)
1 49
25.7%
0 25
13.1%
2 22
11.5%
4 20
10.5%
3 18
 
9.4%
6 16
 
8.4%
5 14
 
7.3%
7 12
 
6.3%
8 8
 
4.2%
9 7
 
3.7%
Space Separator
ValueCountFrequency (%)
221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 846
61.4%
Common 532
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 71
 
8.4%
산 68
 
8.0%
역 58
 
6.9%
시 58
 
6.9%
광 57
 
6.7%
동 49
 
5.8%
구 48
 
5.7%
로 37
 
4.4%
길 25
 
3.0%
남 21
 
2.5%
Other values (112) 354
41.8%
Common
ValueCountFrequency (%)
221
41.5%
) 51
 
9.6%
( 51
 
9.6%
1 49
 
9.2%
0 25
 
4.7%
2 22
 
4.1%
4 20
 
3.8%
3 18
 
3.4%
6 16
 
3.0%
5 14
 
2.6%
Other values (5) 45
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 846
61.4%
ASCII 532
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
41.5%
) 51
 
9.6%
( 51
 
9.6%
1 49
 
9.2%
0 25
 
4.7%
2 22
 
4.1%
4 20
 
3.8%
3 18
 
3.4%
6 16
 
3.0%
5 14
 
2.6%
Other values (5) 45
 
8.5%
Hangul
ValueCountFrequency (%)
울 71
 
8.4%
산 68
 
8.0%
역 58
 
6.9%
시 58
 
6.9%
광 57
 
6.7%
동 49
 
5.8%
구 48
 
5.7%
로 37
 
4.4%
길 25
 
3.0%
남 21
 
2.5%
Other values (112) 354
41.8%

전화번호
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-14T20:04:58.285103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.068966
Min length12

Characters and Unicode

Total characters700
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

Unique54 ?
Unique (%)93.1%

Sample

1st row052-275-9623
2nd row052-275-9623
3rd row052-290-4000
4th row052-209-4333
5th row052-241-7352
ValueCountFrequency (%)
052-275-9623 2
 
3.4%
052-209-7812 2
 
3.4%
052-204-1245 1
 
1.7%
052-226-5710 1
 
1.7%
052-226-2371 1
 
1.7%
052-209-4580 1
 
1.7%
052-241-7472 1
 
1.7%
052-241-7430 1
 
1.7%
052-241-7450 1
 
1.7%
052-241-7440 1
 
1.7%
Other values (46) 46
79.3%
2024-03-14T20:04:59.683687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 146
20.9%
- 116
16.6%
0 115
16.4%
5 85
12.1%
7 45
 
6.4%
4 44
 
6.3%
1 38
 
5.4%
9 33
 
4.7%
3 33
 
4.7%
6 27
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 584
83.4%
Dash Punctuation 116
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 146
25.0%
0 115
19.7%
5 85
14.6%
7 45
 
7.7%
4 44
 
7.5%
1 38
 
6.5%
9 33
 
5.7%
3 33
 
5.7%
6 27
 
4.6%
8 18
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 146
20.9%
- 116
16.6%
0 115
16.4%
5 85
12.1%
7 45
 
6.4%
4 44
 
6.3%
1 38
 
5.4%
9 33
 
4.7%
3 33
 
4.7%
6 27
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 146
20.9%
- 116
16.6%
0 115
16.4%
5 85
12.1%
7 45
 
6.4%
4 44
 
6.3%
1 38
 
5.4%
9 33
 
4.7%
3 33
 
4.7%
6 27
 
3.9%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
도서관
20 
공연장
19 
박물관
11 
문예회관
7 
미술관
 
1

Length

Max length4
Median length3
Mean length3.1206897
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
도서관 20
34.5%
공연장 19
32.8%
박물관 11
19.0%
문예회관 7
 
12.1%
미술관 1
 
1.7%

Length

2024-03-14T20:05:00.111752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:05:00.441161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서관 20
34.5%
공연장 19
32.8%
박물관 11
19.0%
문예회관 7
 
12.1%
미술관 1
 
1.7%

사이트주소
Text

MISSING 

Distinct44
Distinct (%)83.0%
Missing5
Missing (%)8.6%
Memory size592.0 B
2024-03-14T20:05:01.311699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length28.113208
Min length17

Characters and Unicode

Total characters1490
Distinct characters31
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)73.6%

Sample

1st rowhttps://ucac.ulsan.go.kr/main.do#
2nd rowhttps://ucac.ulsan.go.kr/main.do#
3rd rowhttp://artscenter.junggu.ulsan.kr/
4th rowhttp://www.donggu.ulsan.kr/edu
5th rowhttps://www.bukgu.ulsan.kr/art/main.mo
ValueCountFrequency (%)
https://usbl.bukgu.ulsan.kr 7
 
13.2%
https://www.hhiarts.co.kr 2
 
3.8%
www.ulsan.go.kr/museum 2
 
3.8%
http://uljulib.ulju.ulsan.kr 2
 
3.8%
https://ucac.ulsan.go.kr/main.do 2
 
3.8%
https://library.donggu.ulsan.kr 1
 
1.9%
https://usbl.bukgu.ulsan.kr/index.do 1
 
1.9%
www.ulsan.go.kr/bangudae 1
 
1.9%
https://blog.naver.com/coralno1 1
 
1.9%
http://library.ulsan.go.kr 1
 
1.9%
Other values (33) 33
62.3%
2024-03-14T20:05:02.624264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 153
 
10.3%
/ 140
 
9.4%
u 118
 
7.9%
t 106
 
7.1%
s 87
 
5.8%
r 84
 
5.6%
a 79
 
5.3%
w 77
 
5.2%
l 73
 
4.9%
n 64
 
4.3%
Other values (21) 509
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1147
77.0%
Other Punctuation 340
 
22.8%
Decimal Number 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 118
 
10.3%
t 106
 
9.2%
s 87
 
7.6%
r 84
 
7.3%
a 79
 
6.9%
w 77
 
6.7%
l 73
 
6.4%
n 64
 
5.6%
o 58
 
5.1%
k 57
 
5.0%
Other values (14) 344
30.0%
Other Punctuation
ValueCountFrequency (%)
. 153
45.0%
/ 140
41.2%
: 45
 
13.2%
# 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
0 1
33.3%
1 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 1147
77.0%
Common 343
 
23.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 118
 
10.3%
t 106
 
9.2%
s 87
 
7.6%
r 84
 
7.3%
a 79
 
6.9%
w 77
 
6.7%
l 73
 
6.4%
n 64
 
5.6%
o 58
 
5.1%
k 57
 
5.0%
Other values (14) 344
30.0%
Common
ValueCountFrequency (%)
. 153
44.6%
/ 140
40.8%
: 45
 
13.1%
# 2
 
0.6%
3 1
 
0.3%
0 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 153
 
10.3%
/ 140
 
9.4%
u 118
 
7.9%
t 106
 
7.1%
s 87
 
5.8%
r 84
 
5.6%
a 79
 
5.3%
w 77
 
5.2%
l 73
 
4.9%
n 64
 
4.3%
Other values (21) 509
34.2%

공연장 좌석수 도서관 열람석수
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)91.1%
Missing13
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean320.31111
Minimum60
Maximum1555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-03-14T20:05:02.890978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile84
Q1130
median201
Q3418
95-th percentile924.6
Maximum1555
Range1495
Interquartile range (IQR)288

Descriptive statistics

Standard deviation297.15093
Coefficient of variation (CV)0.92769472
Kurtosis6.1206381
Mean320.31111
Median Absolute Deviation (MAD)88
Skewness2.2584586
Sum14414
Variance88298.674
MonotonicityNot monotonic
2024-03-14T20:05:03.288206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
100 3
 
5.2%
220 2
 
3.4%
80 2
 
3.4%
453 1
 
1.7%
188 1
 
1.7%
654 1
 
1.7%
566 1
 
1.7%
839 1
 
1.7%
189 1
 
1.7%
210 1
 
1.7%
Other values (31) 31
53.4%
(Missing) 13
22.4%
ValueCountFrequency (%)
60 1
 
1.7%
80 2
3.4%
100 3
5.2%
113 1
 
1.7%
117 1
 
1.7%
122 1
 
1.7%
124 1
 
1.7%
126 1
 
1.7%
130 1
 
1.7%
137 1
 
1.7%
ValueCountFrequency (%)
1555 1
1.7%
962 1
1.7%
946 1
1.7%
839 1
1.7%
711 1
1.7%
654 1
1.7%
566 1
1.7%
499 1
1.7%
472 1
1.7%
453 1
1.7%

개관일
Date

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
Minimum1989-03-29 00:00:00
Maximum2023-09-01 00:00:00
2024-03-14T20:05:03.707402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:05:04.146648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-03-14T20:05:04.547984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-03-14T20:05:04.980665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

Interactions

2024-03-14T20:04:48.359052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:45.319207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:46.333484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:47.364698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:48.611162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:45.571234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:46.592171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:47.613739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:48.862339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:45.824829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:46.847722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:47.842022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:49.118660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:46.082881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:47.114599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:04:48.115796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:05:05.257970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설위도경도주소전화번호구분사이트주소공연장 좌석수 도서관 열람석수개관일연번
시설1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0000.8461.0001.0000.0000.7710.0001.0000.572
경도1.0000.8461.0001.0001.0000.0000.9000.0001.0000.472
주소1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
구분1.0000.0000.0001.0001.0001.0001.0000.5811.0000.980
사이트주소1.0000.7710.9001.0001.0001.0001.0000.4901.0000.974
공연장 좌석수 도서관 열람석수1.0000.0000.0000.0000.0000.5810.4901.0000.0000.563
개관일1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
연번1.0000.5720.4721.0001.0000.9800.9740.5631.0001.000
2024-03-14T20:05:05.576642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공연장 좌석수 도서관 열람석수연번구분
위도1.000-0.0460.0070.0220.000
경도-0.0461.0000.048-0.0780.000
공연장 좌석수 도서관 열람석수0.0070.0481.000-0.1710.417
연번0.022-0.078-0.1711.0000.759
구분0.0000.0000.4170.7591.000

Missing values

2024-03-14T20:04:49.670320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:04:50.133969image/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.
2024-03-14T20:04:50.456523image/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

시설위도경도주소전화번호구분사이트주소공연장 좌석수 도서관 열람석수개관일연번
0울산문화예술회관 대공연장35.543513129.327296울산광역시 남구 번영로 200(달동)052-275-9623문예회관https://ucac.ulsan.go.kr/main.do#15551995-10-051
1울산문화예술회관 소공연장35.543513129.327296울산광역시 남구 번영로 200(달동)052-275-9623문예회관https://ucac.ulsan.go.kr/main.do#4721995-10-052
2중구문화의전당35.567543129.321537울산광역시 중구 종가로 405(성안동)052-290-4000문예회관http://artscenter.junggu.ulsan.kr/4992014-11-073
3꽃바위문화관35.487056129.411262울산광역시 동구 문현3길 6(방어동)052-209-4333문예회관http://www.donggu.ulsan.kr/edu1572010-04-154
4울산북구문화예술회관35.581386129.360709울산광역시 북구 산업로 1000(연암동)052-241-7352문예회관https://www.bukgu.ulsan.kr/art/main.mo4532003-09-255
5울주문화예술회관35.564432129.232074울산광역시 울주군 범서읍 천상중앙길 36052-229-9500문예회관www.uljuart.or.kr3872009-11-206
6서울주문화센터 공연장35.561205129.131382울산광역시 울주군 언양읍 언양로 40-7052-204-0317문예회관https://wucc.or.kr/3262020-06-127
7토마토소극장35.557018129.320913울산광역시 중구 장춘로 114 (성남동)052-248-1425공연장http://cafe.naver.com/tomatocinema/1302013-02-128
8소극장 푸른가시35.556465129.321761울산광역시 중구 문화의거리 24 (옥교동)052-271-0557공연장https://purungasi.modoo.at/602013-02-209
9J ART HALL35.563426129.33558울산광역시 중구 번영로 470, 7층 (반구동)052-297-5200공연장http://www.jusbank.co.kr/2202014-12-0210
시설위도경도주소전화번호구분사이트주소공연장 좌석수 도서관 열람석수개관일연번
48울산대곡박물관35.61928129.169208울산광역시 울주군 두동면 서하천전로 257(천전리)052-229-6638박물관www.ulsan.go.kr/s/dgmuseum<NA>2009-06-2449
49울산박물관35.527319129.308772울산광역시 남구 두왕로 277(신정동)052-229-4766박물관www.ulsan.go.kr/museum<NA>2011-06-2250
50울산암각화박물관35.608181129.170651울산광역시 울주군 두동면 반구대안길 254(천전리)052-229-4797박물관www.ulsan.go.kr/bangudae<NA>2008-05-3051
51울산옹기박물관35.435242129.279453울산광역시 울주군 온양읍 외고산3길 36(고산리)052-237-7894박물관onggi.ulju.ulsan.kr<NA>2009-11-0152
52울주민속박물관35.43648129.281039울산광역시 울주군 온양읍 외고산 1길 4-19(고산리)052-204-4033박물관https://www.uljufolk.or.kr/<NA>2013-05-0253
53장생포고래박물관35.502879129.380755울산광역시 남구 장생포고래로244(매암동)052-256-6301박물관www.whalemuseum.go.kr<NA>2005-05-3154
54충렬공박제상기념관35.654928129.229598울산광역시 울주군 박제상로 200(만화리)052-229-9531박물관<NA><NA>2008-09-1955
55울산해양박물관35.361831129.354739울산광역시 울주군 서생면 해맞이로 1251(대송리)052-239-6708박물관https://blog.naver.com/coralno1<NA>2011-07-1656
56울산대학교박물관35.543267129.255704울산광역시 남구 대학로 93, 11호관(무거동)052-259-2635박물관<NA><NA>1995-12-0157
57울산시립미술관35.557815129.320762울산광역시 중구 도서관길 72052-211-3800미술관https://www.ulsan.go.kr/s/uam/<NA>2022-01-0658