Overview

Dataset statistics

Number of variables10
Number of observations82
Missing cells161
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory84.6 B

Variable types

Numeric3
Categorical3
Text4

Dataset

Description광주광역시 소재 전시시설(미술관, 화랑 등)에 대한 정보로 시설명, 소재지주소, 전화번호 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3083250/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
운영구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 방수(실) and 3 other fieldsHigh correlation
방수(실) is highly overall correlated with 연번 and 3 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
방수(실) has 41 (50.0%) missing valuesMissing
면적(제곱미터) has 44 (53.7%) missing valuesMissing
전화번호 has 9 (11.0%) missing valuesMissing
비고 has 67 (81.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:17:40.879138
Analysis finished2024-03-14 15:17:44.887283
Duration4.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size866.0 B
2024-03-15T00:17:45.115919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2024-03-15T00:17:45.570266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 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%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
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 (%)
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%
74 1
1.2%
73 1
1.2%

시설구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size784.0 B
화랑
63 
미술관
19 

Length

Max length3
Median length2
Mean length2.2317073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화랑 63
76.8%
미술관 19
 
23.2%

Length

2024-03-15T00:17:46.039637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:17:46.385936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화랑 63
76.8%
미술관 19
 
23.2%

운영구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size784.0 B
상업화랑
41 
시구운영 갤러리
14 
공립미술관
9 
사립미술관
8 
기업운영 갤러리
8 

Length

Max length8
Median length6.5
Mean length5.304878
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상업화랑 41
50.0%
시구운영 갤러리 14
 
17.1%
공립미술관 9
 
11.0%
사립미술관 8
 
9.8%
기업운영 갤러리 8
 
9.8%
대학미술관 2
 
2.4%

Length

2024-03-15T00:17:46.800742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:17:47.198407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업화랑 41
39.4%
갤러리 22
21.2%
시구운영 14
 
13.5%
공립미술관 9
 
8.7%
사립미술관 8
 
7.7%
기업운영 8
 
7.7%
대학미술관 2
 
1.9%

시설명
Text

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size784.0 B
2024-03-15T00:17:48.100628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.3658537
Min length3

Characters and Unicode

Total characters604
Distinct characters178
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)95.1%

Sample

1st row광주시립미술관 본관
2nd row광주시립미술관 비엔날레관
3rd row광주시립미술관 하정웅미술관
4th row광주시립미술관 금남로분관
5th row광주시립미술관 사진전시관
ValueCountFrequency (%)
갤러리 20
 
16.9%
광주시립미술관 6
 
5.1%
이강하미술관 2
 
1.7%
양림미술관 2
 
1.7%
g&j 2
 
1.7%
크라비앙코 1
 
0.8%
원갤러리 1
 
0.8%
본관 1
 
0.8%
나인갤러리 1
 
0.8%
숄츠앤융갤러리 1
 
0.8%
Other values (81) 81
68.6%
2024-03-15T00:17:49.559885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 54
 
8.9%
러 49
 
8.1%
갤 49
 
8.1%
36
 
6.0%
관 35
 
5.8%
미 29
 
4.8%
술 29
 
4.8%
주 11
 
1.8%
광 10
 
1.7%
시 10
 
1.7%
Other values (168) 292
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
87.3%
Space Separator 36
 
6.0%
Uppercase Letter 18
 
3.0%
Decimal Number 12
 
2.0%
Lowercase Letter 5
 
0.8%
Other Punctuation 4
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 54
 
10.2%
러 49
 
9.3%
갤 49
 
9.3%
관 35
 
6.6%
미 29
 
5.5%
술 29
 
5.5%
주 11
 
2.1%
광 10
 
1.9%
시 10
 
1.9%
화 7
 
1.3%
Other values (142) 244
46.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
16.7%
D 2
11.1%
G 2
11.1%
R 2
11.1%
J 2
11.1%
S 2
11.1%
C 2
11.1%
B 1
 
5.6%
L 1
 
5.6%
K 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
5 4
33.3%
1 3
25.0%
8 2
16.7%
0 1
 
8.3%
7 1
 
8.3%
2 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
u 1
20.0%
t 1
20.0%
o 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
87.1%
Common 54
 
8.9%
Latin 23
 
3.8%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 54
 
10.3%
러 49
 
9.3%
갤 49
 
9.3%
관 35
 
6.7%
미 29
 
5.5%
술 29
 
5.5%
주 11
 
2.1%
광 10
 
1.9%
시 10
 
1.9%
화 7
 
1.3%
Other values (141) 243
46.2%
Latin
ValueCountFrequency (%)
A 3
13.0%
D 2
 
8.7%
G 2
 
8.7%
R 2
 
8.7%
J 2
 
8.7%
S 2
 
8.7%
C 2
 
8.7%
B 1
 
4.3%
s 1
 
4.3%
u 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
36
66.7%
5 4
 
7.4%
1 3
 
5.6%
& 3
 
5.6%
8 2
 
3.7%
0 1
 
1.9%
) 1
 
1.9%
. 1
 
1.9%
( 1
 
1.9%
7 1
 
1.9%
Han
ValueCountFrequency (%)
藝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
87.1%
ASCII 77
 
12.7%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 54
 
10.3%
러 49
 
9.3%
갤 49
 
9.3%
관 35
 
6.7%
미 29
 
5.5%
술 29
 
5.5%
주 11
 
2.1%
광 10
 
1.9%
시 10
 
1.9%
화 7
 
1.3%
Other values (141) 243
46.2%
ASCII
ValueCountFrequency (%)
36
46.8%
5 4
 
5.2%
1 3
 
3.9%
A 3
 
3.9%
& 3
 
3.9%
D 2
 
2.6%
G 2
 
2.6%
R 2
 
2.6%
J 2
 
2.6%
8 2
 
2.6%
Other values (16) 18
23.4%
CJK
ValueCountFrequency (%)
藝 1
100.0%

방수(실)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)14.6%
Missing41
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.9268293
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size866.0 B
2024-03-15T00:17:49.912006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9155971
Coefficient of variation (CV)0.99417064
Kurtosis5.4538742
Mean1.9268293
Median Absolute Deviation (MAD)0
Skewness2.4424011
Sum79
Variance3.6695122
MonotonicityNot monotonic
2024-03-15T00:17:50.400671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 28
34.1%
2 6
 
7.3%
7 2
 
2.4%
5 2
 
2.4%
3 2
 
2.4%
9 1
 
1.2%
(Missing) 41
50.0%
ValueCountFrequency (%)
1 28
34.1%
2 6
 
7.3%
3 2
 
2.4%
5 2
 
2.4%
7 2
 
2.4%
9 1
 
1.2%
ValueCountFrequency (%)
9 1
 
1.2%
7 2
 
2.4%
5 2
 
2.4%
3 2
 
2.4%
2 6
 
7.3%
1 28
34.1%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct36
Distinct (%)94.7%
Missing44
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean631.23684
Minimum45
Maximum8783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size866.0 B
2024-03-15T00:17:50.806122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile58.85
Q1162.5
median255
Q3466.25
95-th percentile1579.7
Maximum8783
Range8738
Interquartile range (IQR)303.75

Descriptive statistics

Standard deviation1449.011
Coefficient of variation (CV)2.2955108
Kurtosis28.790531
Mean631.23684
Median Absolute Deviation (MAD)109
Skewness5.1743488
Sum23987
Variance2099632.9
MonotonicityNot monotonic
2024-03-15T00:17:51.398604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
159 2
 
2.4%
293 2
 
2.4%
45 1
 
1.2%
59 1
 
1.2%
175 1
 
1.2%
187 1
 
1.2%
231 1
 
1.2%
234 1
 
1.2%
142 1
 
1.2%
188 1
 
1.2%
Other values (26) 26
31.7%
(Missing) 44
53.7%
ValueCountFrequency (%)
45 1
1.2%
58 1
1.2%
59 1
1.2%
128 1
1.2%
131 1
1.2%
142 1
1.2%
145 1
1.2%
159 2
2.4%
160 1
1.2%
170 1
1.2%
ValueCountFrequency (%)
8783 1
1.2%
2921 1
1.2%
1343 1
1.2%
1057 1
1.2%
950 1
1.2%
756 1
1.2%
630 1
1.2%
596 1
1.2%
514 1
1.2%
489 1
1.2%

소재지주소
Text

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size784.0 B
2024-03-15T00:17:52.793080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length19.756098
Min length14

Characters and Unicode

Total characters1620
Distinct characters130
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

Unique78 ?
Unique (%)95.1%

Sample

1st row광주광역시 용봉동 중외공원 내
2nd row광주광역시 용봉동 중외공원 내
3rd row광주광역시 서구 상무대로 1165
4th row광주광역시 동구 금남로 231
5th row광주광역시 문화예술회관 별관동 1층
ValueCountFrequency (%)
광주광역시 80
22.7%
동구 39
 
11.1%
남구 12
 
3.4%
서구 12
 
3.4%
북구 9
 
2.6%
예술길 6
 
1.7%
2층 4
 
1.1%
제중로 3
 
0.9%
중앙로 3
 
0.9%
광산구 3
 
0.9%
Other values (161) 181
51.4%
2024-03-15T00:17:54.638124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
16.9%
광 165
 
10.2%
동 93
 
5.7%
시 83
 
5.1%
역 80
 
4.9%
주 80
 
4.9%
구 80
 
4.9%
1 69
 
4.3%
2 46
 
2.8%
로 40
 
2.5%
Other values (120) 611
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 978
60.4%
Decimal Number 282
 
17.4%
Space Separator 273
 
16.9%
Dash Punctuation 35
 
2.2%
Close Punctuation 20
 
1.2%
Open Punctuation 20
 
1.2%
Uppercase Letter 4
 
0.2%
Other Punctuation 4
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 165
16.9%
동 93
 
9.5%
시 83
 
8.5%
역 80
 
8.2%
주 80
 
8.2%
구 80
 
8.2%
로 40
 
4.1%
길 25
 
2.6%
남 17
 
1.7%
서 16
 
1.6%
Other values (97) 299
30.6%
Decimal Number
ValueCountFrequency (%)
1 69
24.5%
2 46
16.3%
6 29
10.3%
3 26
 
9.2%
5 20
 
7.1%
8 20
 
7.1%
9 19
 
6.7%
0 19
 
6.7%
7 18
 
6.4%
4 16
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
h 1
25.0%
s 1
25.0%
o 1
25.0%
p 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
· 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
F 2
50.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 978
60.4%
Common 634
39.1%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 165
16.9%
동 93
 
9.5%
시 83
 
8.5%
역 80
 
8.2%
주 80
 
8.2%
구 80
 
8.2%
로 40
 
4.1%
길 25
 
2.6%
남 17
 
1.7%
서 16
 
1.6%
Other values (97) 299
30.6%
Common
ValueCountFrequency (%)
273
43.1%
1 69
 
10.9%
2 46
 
7.3%
- 35
 
5.5%
6 29
 
4.6%
3 26
 
4.1%
5 20
 
3.2%
8 20
 
3.2%
) 20
 
3.2%
( 20
 
3.2%
Other values (7) 76
 
12.0%
Latin
ValueCountFrequency (%)
B 2
25.0%
F 2
25.0%
h 1
12.5%
s 1
12.5%
o 1
12.5%
p 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 978
60.4%
ASCII 641
39.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
42.6%
1 69
 
10.8%
2 46
 
7.2%
- 35
 
5.5%
6 29
 
4.5%
3 26
 
4.1%
5 20
 
3.1%
8 20
 
3.1%
) 20
 
3.1%
( 20
 
3.1%
Other values (12) 83
 
12.9%
Hangul
ValueCountFrequency (%)
광 165
16.9%
동 93
 
9.5%
시 83
 
8.5%
역 80
 
8.2%
주 80
 
8.2%
구 80
 
8.2%
로 40
 
4.1%
길 25
 
2.6%
남 17
 
1.7%
서 16
 
1.6%
Other values (97) 299
30.6%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing9
Missing (%)11.0%
Memory size784.0 B
2024-03-15T00:17:55.633146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013699
Min length11

Characters and Unicode

Total characters877
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)94.5%

Sample

1st row062-613-7113
2nd row062-608-4212
3rd row062-613-5393
4th row062-222-8053
5th row062-613-5402
ValueCountFrequency (%)
062-674-8515 2
 
2.7%
02-725-0040 2
 
2.7%
062-234-8000 1
 
1.4%
062-222-9301 1
 
1.4%
062-222-5180 1
 
1.4%
062-229-7800 1
 
1.4%
062-230-6767 1
 
1.4%
062-222-7487 1
 
1.4%
062-233-3342 1
 
1.4%
062-232-2328 1
 
1.4%
Other values (61) 61
83.6%
2024-03-15T00:17:56.775260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 172
19.6%
0 146
16.6%
- 146
16.6%
6 117
13.3%
3 69
7.9%
1 46
 
5.2%
7 41
 
4.7%
5 40
 
4.6%
4 35
 
4.0%
8 34
 
3.9%
Other values (2) 31
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 729
83.1%
Dash Punctuation 146
 
16.6%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 172
23.6%
0 146
20.0%
6 117
16.0%
3 69
9.5%
1 46
 
6.3%
7 41
 
5.6%
5 40
 
5.5%
4 35
 
4.8%
8 34
 
4.7%
9 29
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 877
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 172
19.6%
0 146
16.6%
- 146
16.6%
6 117
13.3%
3 69
7.9%
1 46
 
5.2%
7 41
 
4.7%
5 40
 
4.6%
4 35
 
4.0%
8 34
 
3.9%
Other values (2) 31
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 172
19.6%
0 146
16.6%
- 146
16.6%
6 117
13.3%
3 69
7.9%
1 46
 
5.2%
7 41
 
4.7%
5 40
 
4.6%
4 35
 
4.0%
8 34
 
3.9%
Other values (2) 31
 
3.5%

비고
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing67
Missing (%)81.7%
Memory size784.0 B
2024-03-15T00:17:57.390270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.7333333
Min length2

Characters and Unicode

Total characters56
Distinct characters46
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)73.3%

Sample

1st row총괄
2nd row미등록
3rd row대학교
4th row대학교
5th row시립미술관
ValueCountFrequency (%)
대학교 2
12.5%
시립미술관 2
12.5%
총괄 1
 
6.2%
미등록 1
 
6.2%
금호 1
 
6.2%
신세계 1
 
6.2%
롯데쇼핑 1
 
6.2%
광주역 1
 
6.2%
우체국 1
 
6.2%
진아리채 1
 
6.2%
Other values (4) 4
25.0%
2024-03-15T00:17:58.212340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 3
 
5.4%
대 2
 
3.6%
학 2
 
3.6%
관 2
 
3.6%
술 2
 
3.6%
역 2
 
3.6%
립 2
 
3.6%
교 2
 
3.6%
시 2
 
3.6%
1
 
1.8%
Other values (36) 36
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55
98.2%
Space Separator 1
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 3
 
5.5%
대 2
 
3.6%
학 2
 
3.6%
관 2
 
3.6%
술 2
 
3.6%
역 2
 
3.6%
립 2
 
3.6%
교 2
 
3.6%
시 2
 
3.6%
철 1
 
1.8%
Other values (35) 35
63.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55
98.2%
Common 1
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 3
 
5.5%
대 2
 
3.6%
학 2
 
3.6%
관 2
 
3.6%
술 2
 
3.6%
역 2
 
3.6%
립 2
 
3.6%
교 2
 
3.6%
시 2
 
3.6%
철 1
 
1.8%
Other values (35) 35
63.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55
98.2%
ASCII 1
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 3
 
5.5%
대 2
 
3.6%
학 2
 
3.6%
관 2
 
3.6%
술 2
 
3.6%
역 2
 
3.6%
립 2
 
3.6%
교 2
 
3.6%
시 2
 
3.6%
철 1
 
1.8%
Other values (35) 35
63.6%
ASCII
ValueCountFrequency (%)
1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size784.0 B
2023-11-09
82 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-09
2nd row2023-11-09
3rd row2023-11-09
4th row2023-11-09
5th row2023-11-09

Common Values

ValueCountFrequency (%)
2023-11-09 82
100.0%

Length

2024-03-15T00:17:58.548809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:17:58.856413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-09 82
100.0%

Interactions

2024-03-15T00:17:43.205055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:41.953005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:42.729030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:43.355211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:42.221305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:42.894643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:43.549121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:42.498278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:17:43.061690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:17:59.051836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분운영구분시설명방수(실)면적(제곱미터)소재지주소전화번호비고
연번1.0000.9960.9620.9010.5520.0000.9800.9051.000
시설구분0.9961.0001.0000.0000.7930.0000.3160.0001.000
운영구분0.9621.0001.0000.6810.6600.1290.9300.5891.000
시설명0.9010.0000.6811.0001.0001.0000.9950.9991.000
방수(실)0.5520.7930.6601.0001.0000.7950.0001.0000.000
면적(제곱미터)0.0000.0000.1291.0000.7951.0000.0001.0000.000
소재지주소0.9800.3160.9300.9950.0000.0001.0000.9991.000
전화번호0.9050.0000.5890.9991.0001.0000.9991.0001.000
비고1.0001.0001.0001.0000.0000.0001.0001.0001.000
2024-03-15T00:17:59.345081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영구분시설구분
운영구분1.0000.975
시설구분0.9751.000
2024-03-15T00:17:59.587024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번방수(실)면적(제곱미터)시설구분운영구분
연번1.000-0.555-0.5880.8920.874
방수(실)-0.5551.0000.5530.5650.511
면적(제곱미터)-0.5880.5531.0000.0000.088
시설구분0.8920.5650.0001.0000.975
운영구분0.8740.5110.0880.9751.000

Missing values

2024-03-15T00:17:43.891991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:17:44.375805image/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.
2024-03-15T00:17:44.721419image/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

연번시설구분운영구분시설명방수(실)면적(제곱미터)소재지주소전화번호비고데이터기준일자
01미술관공립미술관광주시립미술관 본관72921광주광역시 용봉동 중외공원 내062-613-7113총괄2023-11-09
12미술관공립미술관광주시립미술관 비엔날레관58783광주광역시 용봉동 중외공원 내062-608-4212<NA>2023-11-09
23미술관공립미술관광주시립미술관 하정웅미술관71343광주광역시 서구 상무대로 1165062-613-5393<NA>2023-11-09
34미술관공립미술관광주시립미술관 금남로분관1330광주광역시 동구 금남로 231062-222-8053<NA>2023-11-09
45미술관공립미술관광주시립미술관 사진전시관1514광주광역시 문화예술회관 별관동 1층062-613-5402<NA>2023-11-09
56미술관공립미술관광주시립미술관 G&J 갤러리1293서울특별시 종로구 인사동마루(본관3층)02-725-0040<NA>2023-11-09
67미술관공립미술관이강하미술관1489광주광역시 남구 3.1만세운동길 6(양림동)062-674-8515미등록2023-11-09
78미술관공립미술관양림미술관1318광주광역시 남구 제중로 70062-607-2315<NA>2023-11-09
89미술관공립미술관시화마을 금봉미술관2363광주광역시 북구 각화대로 91(각화동)062-269-9883<NA>2023-11-09
910미술관사립미술관의재미술관3630광주광역시 동구 증심사길 155(운림동)062-222-3040<NA>2023-11-09
연번시설구분운영구분시설명방수(실)면적(제곱미터)소재지주소전화번호비고데이터기준일자
7273화랑상업화랑광주예총 백련갤러리<NA><NA>광주광역시 서구 금화로 393번길 11<NA><NA>2023-11-09
7374화랑상업화랑한희원미술관<NA><NA>광주광역시 남구 양촌길 27-6 (양림동)062-653-5435<NA>2023-11-09
7475화랑상업화랑515갤러리<NA><NA>광주광역시 남구 양림로 80062-654-3003<NA>2023-11-09
7576화랑상업화랑자윤갤러리<NA><NA>광주광역시 남구 효우2로 26번길 6, 1층(행암동)062-682-6494<NA>2023-11-09
7677화랑상업화랑양림미술관<NA><NA>광주광역시 남구 제중로 70(양림동)062-675-7009<NA>2023-11-09
7778화랑상업화랑아트폴리곤<NA><NA>광주광역시 남구 제중로 47번길 20062-682-0976<NA>2023-11-09
7879화랑상업화랑만지화미술관<NA><NA>광주광역시 북구 유동 108-26 3층062-372-9578<NA>2023-11-09
7980화랑상업화랑미래갤러리<NA><NA>광주광역시 북구 북문로 62번지 지하<NA><NA>2023-11-09
8081화랑상업화랑갤러리줌<NA><NA>광주광역시 광산구 신촌동 1121-8062-943-3339<NA>2023-11-09
8182화랑상업화랑남부대학교 우암문화갤러리<NA><NA>광주광역시 광산구 첨단중앙1로 76(월계동 864-1)062-970-0393<NA>2023-11-09