Overview

Dataset statistics

Number of variables24
Number of observations44
Missing cells224
Missing cells (%)21.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory203.0 B

Variable types

Text10
Categorical7
Unsupported3
Numeric4

Dataset

Description전라북도_박물관미술관정보_20170918
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202087

Alerts

관람료기타정보 has constant value ""Constant
데이터기준일자 has constant value ""Constant
어린이관람료 is highly imbalanced (53.9%)Imbalance
소재지지번주소 has 44 (100.0%) missing valuesMissing
운영홈페이지 has 7 (15.9%) missing valuesMissing
편의시설정보 has 42 (95.5%) missing valuesMissing
관람료기타정보 has 43 (97.7%) missing valuesMissing
박물관미술관소개 has 44 (100.0%) missing valuesMissing
교통안내정보 has 44 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
운영기관전화번호 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
박물관미술관소개 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교통안내정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
어른관람료 has 34 (77.3%) zerosZeros
청소년관람료 has 34 (77.3%) zerosZeros

Reproduction

Analysis started2024-03-14 00:49:38.638898
Analysis finished2024-03-14 00:49:39.066441
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:39.180427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.8181818
Min length4

Characters and Unicode

Total characters344
Distinct characters116
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

Unique44 ?
Unique (%)100.0%

Sample

1st row교동아트미술관
2nd row전주미술관
3rd row누벨벡미술관
4th row예깊미술관
5th row이당미술관
ValueCountFrequency (%)
미술관 3
 
6.1%
교동아트미술관 1
 
2.0%
정읍시립박물관 1
 
2.0%
순창장류박물관 1
 
2.0%
어진박물관 1
 
2.0%
청자박물관 1
 
2.0%
군산근대역사박물관 1
 
2.0%
동학농민혁명기념관 1
 
2.0%
전라북도산림박물관 1
 
2.0%
진안역사박물관 1
 
2.0%
Other values (37) 37
75.5%
2024-03-14T09:49:39.461098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 44
 
12.8%
물 28
 
8.1%
박 26
 
7.6%
미 17
 
4.9%
술 17
 
4.9%
전 13
 
3.8%
주 8
 
2.3%
교 6
 
1.7%
원 6
 
1.7%
학 6
 
1.7%
Other values (106) 173
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
95.6%
Space Separator 5
 
1.5%
Decimal Number 3
 
0.9%
Uppercase Letter 3
 
0.9%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 44
 
13.4%
물 28
 
8.5%
박 26
 
7.9%
미 17
 
5.2%
술 17
 
5.2%
전 13
 
4.0%
주 8
 
2.4%
교 6
 
1.8%
원 6
 
1.8%
학 6
 
1.8%
Other values (97) 158
48.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
6 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
M 1
33.3%
W 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
95.6%
Common 12
 
3.5%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 44
 
13.4%
물 28
 
8.5%
박 26
 
7.9%
미 17
 
5.2%
술 17
 
5.2%
전 13
 
4.0%
주 8
 
2.4%
교 6
 
1.8%
원 6
 
1.8%
학 6
 
1.8%
Other values (97) 158
48.0%
Common
ValueCountFrequency (%)
5
41.7%
) 2
 
16.7%
( 2
 
16.7%
1 1
 
8.3%
5 1
 
8.3%
6 1
 
8.3%
Latin
ValueCountFrequency (%)
V 1
33.3%
M 1
33.3%
W 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
95.6%
ASCII 15
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 44
 
13.4%
물 28
 
8.5%
박 26
 
7.9%
미 17
 
5.2%
술 17
 
5.2%
전 13
 
4.0%
주 8
 
2.4%
교 6
 
1.8%
원 6
 
1.8%
학 6
 
1.8%
Other values (97) 158
48.0%
ASCII
ValueCountFrequency (%)
5
33.3%
) 2
 
13.3%
( 2
 
13.3%
1 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
V 1
 
6.7%
M 1
 
6.7%
W 1
 
6.7%

박물관미술관구분
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
공립
22 
사립
18 
대학
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 22
50.0%
사립 18
40.9%
대학 4
 
9.1%

Length

2024-03-14T09:49:39.575108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:39.656645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 22
50.0%
사립 18
40.9%
대학 4
 
9.1%

소재지도로명주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:39.898412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length20.318182
Min length15

Characters and Unicode

Total characters894
Distinct characters123
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 경기전길89
2nd row전라북도 전주시 완산구 기린대로 85 르윈호텔 B1
3rd row전라북도 전주시 완산구 홍산북로 29-5
4th row전라북도 군산시 대학로 64 에이팩스 빌딩 2층
5th row전라북도 군산시 구영 6길 108번지
ValueCountFrequency (%)
전라북도 44
 
20.4%
전주시 11
 
5.1%
완산구 9
 
4.2%
익산시 9
 
4.2%
군산시 4
 
1.9%
부안군 4
 
1.9%
완주군 4
 
1.9%
남원시 3
 
1.4%
정읍시 3
 
1.4%
금마면 2
 
0.9%
Other values (115) 123
56.9%
2024-03-14T09:49:40.281171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
20.0%
전 56
 
6.3%
북 46
 
5.1%
도 45
 
5.0%
라 44
 
4.9%
시 32
 
3.6%
산 29
 
3.2%
로 28
 
3.1%
1 25
 
2.8%
4 21
 
2.3%
Other values (113) 389
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
64.3%
Space Separator 179
 
20.0%
Decimal Number 131
 
14.7%
Dash Punctuation 8
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 56
 
9.7%
북 46
 
8.0%
도 45
 
7.8%
라 44
 
7.7%
시 32
 
5.6%
산 29
 
5.0%
로 28
 
4.9%
군 17
 
3.0%
주 17
 
3.0%
면 15
 
2.6%
Other values (100) 246
42.8%
Decimal Number
ValueCountFrequency (%)
1 25
19.1%
4 21
16.0%
2 13
9.9%
7 12
9.2%
0 12
9.2%
3 11
8.4%
5 11
8.4%
6 10
 
7.6%
9 9
 
6.9%
8 7
 
5.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
64.3%
Common 318
35.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 56
 
9.7%
북 46
 
8.0%
도 45
 
7.8%
라 44
 
7.7%
시 32
 
5.6%
산 29
 
5.0%
로 28
 
4.9%
군 17
 
3.0%
주 17
 
3.0%
면 15
 
2.6%
Other values (100) 246
42.8%
Common
ValueCountFrequency (%)
179
56.3%
1 25
 
7.9%
4 21
 
6.6%
2 13
 
4.1%
7 12
 
3.8%
0 12
 
3.8%
3 11
 
3.5%
5 11
 
3.5%
6 10
 
3.1%
9 9
 
2.8%
Other values (2) 15
 
4.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 575
64.3%
ASCII 319
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
56.1%
1 25
 
7.8%
4 21
 
6.6%
2 13
 
4.1%
7 12
 
3.8%
0 12
 
3.8%
3 11
 
3.4%
5 11
 
3.4%
6 10
 
3.1%
9 9
 
2.8%
Other values (3) 16
 
5.0%
Hangul
ValueCountFrequency (%)
전 56
 
9.7%
북 46
 
8.0%
도 45
 
7.8%
라 44
 
7.7%
시 32
 
5.6%
산 29
 
5.0%
로 28
 
4.9%
군 17
 
3.0%
주 17
 
3.0%
면 15
 
2.6%
Other values (100) 246
42.8%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

위도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.78028
Minimum35.327258
Maximum36.025277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-14T09:49:40.593284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.327258
5-th percentile35.402685
Q135.629803
median35.817103
Q335.958589
95-th percentile36.002863
Maximum36.025277
Range0.6980193
Interquartile range (IQR)0.32878575

Descriptive statistics

Standard deviation0.20180457
Coefficient of variation (CV)0.0056401059
Kurtosis-0.48812905
Mean35.78028
Median Absolute Deviation (MAD)0.152606
Skewness-0.76916875
Sum1574.3323
Variance0.040725085
MonotonicityNot monotonic
2024-03-14T09:49:40.727651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.815462 1
 
2.3%
35.9715881 1
 
2.3%
35.6114972 1
 
2.3%
35.9908423 1
 
2.3%
35.632863 1
 
2.3%
35.4771412 1
 
2.3%
35.7724537 1
 
2.3%
36.0019572 1
 
2.3%
35.5278764 1
 
2.3%
35.3696904 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
35.327258 1
2.3%
35.3696904 1
2.3%
35.4017971 1
2.3%
35.407717 1
2.3%
35.4324321 1
2.3%
35.4771412 1
2.3%
35.5278764 1
2.3%
35.5523265 1
2.3%
35.5943974 1
2.3%
35.6114972 1
2.3%
ValueCountFrequency (%)
36.0252773 1
2.3%
36.011508 1
2.3%
36.0030223 1
2.3%
36.0019572 1
2.3%
35.9908423 1
2.3%
35.9906601 1
2.3%
35.988404 1
2.3%
35.984778 1
2.3%
35.9744656 1
2.3%
35.9715881 1
2.3%

경도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01157
Minimum126.48886
Maximum127.66529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-14T09:49:40.893039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.48886
5-th percentile126.65436
Q1126.85938
median127.06329
Q3127.13231
95-th percentile127.38618
Maximum127.66529
Range1.1764311
Interquartile range (IQR)0.27293005

Descriptive statistics

Standard deviation0.24149837
Coefficient of variation (CV)0.0019013887
Kurtosis0.37974603
Mean127.01157
Median Absolute Deviation (MAD)0.09914345
Skewness0.0580129
Sum5588.5092
Variance0.058321464
MonotonicityNot monotonic
2024-03-14T09:49:41.027221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
127.151153 1
 
2.3%
127.0557217 1
 
2.3%
126.6513507 1
 
2.3%
126.7120089 1
 
2.3%
126.8283102 1
 
2.3%
126.9257287 1
 
2.3%
127.416747 1
 
2.3%
127.0604036 1
 
2.3%
126.8943986 1
 
2.3%
127.1109875 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
126.4888609 1
2.3%
126.5635292 1
2.3%
126.6513507 1
2.3%
126.671406 1
2.3%
126.6813489 1
2.3%
126.7027174 1
2.3%
126.709594 1
2.3%
126.71125 1
2.3%
126.7120089 1
2.3%
126.8283102 1
2.3%
ValueCountFrequency (%)
127.665292 1
2.3%
127.416747 1
2.3%
127.3870909 1
2.3%
127.381008 1
2.3%
127.34781 1
2.3%
127.2065584 1
2.3%
127.154004 1
2.3%
127.1535397 1
2.3%
127.151153 1
2.3%
127.1493531 1
2.3%

운영기관전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:41.254244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.977273
Min length9

Characters and Unicode

Total characters527
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

Unique44 ?
Unique (%)100.0%

Sample

1st row063-287-1245
2nd row063-283-8887
3rd row063-222-7235
4th row063-911-2207
5th row063-446-5903
ValueCountFrequency (%)
063-287-1245 1
 
2.3%
063-283-8887 1
 
2.3%
063-650-1627 1
 
2.3%
063-231-0190 1
 
2.3%
063-580-3964 1
 
2.3%
063-454-7870 1
 
2.3%
063-536-1894 1
 
2.3%
063-652-6792 1
 
2.3%
063-430-8086 1
 
2.3%
063-859-4633 1
 
2.3%
Other values (34) 34
77.3%
2024-03-14T09:49:41.557664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
17.1%
- 87
16.5%
3 69
13.1%
6 68
12.9%
8 39
7.4%
2 38
7.2%
5 32
 
6.1%
1 30
 
5.7%
7 26
 
4.9%
4 26
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.5%
Dash Punctuation 87
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
20.5%
3 69
15.7%
6 68
15.5%
8 39
8.9%
2 38
8.6%
5 32
 
7.3%
1 30
 
6.8%
7 26
 
5.9%
4 26
 
5.9%
9 22
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
17.1%
- 87
16.5%
3 69
13.1%
6 68
12.9%
8 39
7.4%
2 38
7.2%
5 32
 
6.1%
1 30
 
5.7%
7 26
 
4.9%
4 26
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
17.1%
- 87
16.5%
3 69
13.1%
6 68
12.9%
8 39
7.4%
2 38
7.2%
5 32
 
6.1%
1 30
 
5.7%
7 26
 
4.9%
4 26
 
4.9%

운영기관명
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:41.723801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.7954545
Min length4

Characters and Unicode

Total characters343
Distinct characters117
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

Unique42 ?
Unique (%)95.5%

Sample

1st row교동아트미술관
2nd row전주미술관
3rd row누벨벡미술관
4th row예깊미술관
5th row이당미술관
ValueCountFrequency (%)
전라북도 3
 
5.9%
전주문화연구회 2
 
3.9%
미술관 2
 
3.9%
원불교역사박물관 1
 
2.0%
전주전통술박물관 1
 
2.0%
청자박물관 1
 
2.0%
군산근대역사박물관 1
 
2.0%
동학농민혁명기념관 1
 
2.0%
전라북도산림박물관 1
 
2.0%
진안역사박물관 1
 
2.0%
Other values (37) 37
72.5%
2024-03-14T09:49:41.985152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 38
 
11.1%
물 26
 
7.6%
박 24
 
7.0%
전 16
 
4.7%
미 13
 
3.8%
술 12
 
3.5%
주 10
 
2.9%
7
 
2.0%
학 6
 
1.7%
교 6
 
1.7%
Other values (107) 185
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
95.0%
Space Separator 7
 
2.0%
Decimal Number 3
 
0.9%
Uppercase Letter 3
 
0.9%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 38
 
11.7%
물 26
 
8.0%
박 24
 
7.4%
전 16
 
4.9%
미 13
 
4.0%
술 12
 
3.7%
주 10
 
3.1%
학 6
 
1.8%
교 6
 
1.8%
산 6
 
1.8%
Other values (98) 169
51.8%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
6 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
W 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
95.0%
Common 14
 
4.1%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 38
 
11.7%
물 26
 
8.0%
박 24
 
7.4%
전 16
 
4.9%
미 13
 
4.0%
술 12
 
3.7%
주 10
 
3.1%
학 6
 
1.8%
교 6
 
1.8%
산 6
 
1.8%
Other values (98) 169
51.8%
Common
ValueCountFrequency (%)
7
50.0%
( 2
 
14.3%
) 2
 
14.3%
1 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
Latin
ValueCountFrequency (%)
V 1
33.3%
W 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
95.0%
ASCII 17
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 38
 
11.7%
물 26
 
8.0%
박 24
 
7.4%
전 16
 
4.9%
미 13
 
4.0%
술 12
 
3.7%
주 10
 
3.1%
학 6
 
1.8%
교 6
 
1.8%
산 6
 
1.8%
Other values (98) 169
51.8%
ASCII
ValueCountFrequency (%)
7
41.2%
( 2
 
11.8%
) 2
 
11.8%
1 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
V 1
 
5.9%
W 1
 
5.9%
M 1
 
5.9%

운영홈페이지
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing7
Missing (%)15.9%
Memory size484.0 B
2024-03-14T09:49:42.224760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length35
Mean length28.756757
Min length15

Characters and Unicode

Total characters1064
Distinct characters41
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gdart.co.kr/
2nd rowhttp://www.jeonjumuseum.com
3rd rowhttp://blog.naver.com/sheen1711/220916891261
4th rowhttp://www.yegip.co.kr/
5th rowhttp://yidang.org/
ValueCountFrequency (%)
http://sujimuseum.com 1
 
2.7%
http://www.eojinmuseum.org 1
 
2.7%
http://www.buan.go.kr/buancela/index.buan 1
 
2.7%
http://museum.gunsan.go.kr 1
 
2.7%
http://www.1894.or.kr/main_kor/index.php 1
 
2.7%
http://jbfm.jb.go.kr 1
 
2.7%
http://www.jinanmuseum.kr 1
 
2.7%
http://www.iksan.go.kr/mahan/index.iksan 1
 
2.7%
http://museum.jeongeup.go.kr 1
 
2.7%
http://www.gdart.co.kr 1
 
2.7%
Other values (27) 27
73.0%
2024-03-14T09:49:42.521903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 103
 
9.7%
. 99
 
9.3%
t 85
 
8.0%
w 61
 
5.7%
u 57
 
5.4%
m 53
 
5.0%
e 49
 
4.6%
o 49
 
4.6%
r 45
 
4.2%
n 45
 
4.2%
Other values (31) 418
39.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 778
73.1%
Other Punctuation 239
 
22.5%
Decimal Number 44
 
4.1%
Connector Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 85
 
10.9%
w 61
 
7.8%
u 57
 
7.3%
m 53
 
6.8%
e 49
 
6.3%
o 49
 
6.3%
r 45
 
5.8%
n 45
 
5.8%
h 44
 
5.7%
p 44
 
5.7%
Other values (14) 246
31.6%
Decimal Number
ValueCountFrequency (%)
1 10
22.7%
0 6
13.6%
8 6
13.6%
9 5
11.4%
6 4
 
9.1%
3 4
 
9.1%
2 3
 
6.8%
5 3
 
6.8%
4 2
 
4.5%
7 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 103
43.1%
. 99
41.4%
: 36
 
15.1%
? 1
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 779
73.2%
Common 285
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 85
 
10.9%
w 61
 
7.8%
u 57
 
7.3%
m 53
 
6.8%
e 49
 
6.3%
o 49
 
6.3%
r 45
 
5.8%
n 45
 
5.8%
h 44
 
5.6%
p 44
 
5.6%
Other values (15) 247
31.7%
Common
ValueCountFrequency (%)
/ 103
36.1%
. 99
34.7%
: 36
 
12.6%
1 10
 
3.5%
0 6
 
2.1%
8 6
 
2.1%
9 5
 
1.8%
6 4
 
1.4%
3 4
 
1.4%
2 3
 
1.1%
Other values (6) 9
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 103
 
9.7%
. 99
 
9.3%
t 85
 
8.0%
w 61
 
5.7%
u 57
 
5.4%
m 53
 
5.0%
e 49
 
4.6%
o 49
 
4.6%
r 45
 
4.2%
n 45
 
4.2%
Other values (31) 418
39.3%

편의시설정보
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing42
Missing (%)95.5%
Memory size484.0 B
2024-03-14T09:49:42.664039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length15
Min length5

Characters and Unicode

Total characters30
Distinct characters21
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

Unique2 ?
Unique (%)100.0%

Sample

1st row카페+식당
2nd row뮤지엄샵+문화사랑방+아기방+강당+세미나실+카페
ValueCountFrequency (%)
카페+식당 1
50.0%
뮤지엄샵+문화사랑방+아기방+강당+세미나실+카페 1
50.0%
2024-03-14T09:49:42.923748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 6
20.0%
카 2
 
6.7%
당 2
 
6.7%
페 2
 
6.7%
방 2
 
6.7%
랑 1
 
3.3%
나 1
 
3.3%
미 1
 
3.3%
세 1
 
3.3%
강 1
 
3.3%
Other values (11) 11
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
80.0%
Math Symbol 6
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 2
 
8.3%
당 2
 
8.3%
페 2
 
8.3%
방 2
 
8.3%
랑 1
 
4.2%
나 1
 
4.2%
미 1
 
4.2%
세 1
 
4.2%
강 1
 
4.2%
기 1
 
4.2%
Other values (10) 10
41.7%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
80.0%
Common 6
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 2
 
8.3%
당 2
 
8.3%
페 2
 
8.3%
방 2
 
8.3%
랑 1
 
4.2%
나 1
 
4.2%
미 1
 
4.2%
세 1
 
4.2%
강 1
 
4.2%
기 1
 
4.2%
Other values (10) 10
41.7%
Common
ValueCountFrequency (%)
+ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
80.0%
ASCII 6
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 6
100.0%
Hangul
ValueCountFrequency (%)
카 2
 
8.3%
당 2
 
8.3%
페 2
 
8.3%
방 2
 
8.3%
랑 1
 
4.2%
나 1
 
4.2%
미 1
 
4.2%
세 1
 
4.2%
강 1
 
4.2%
기 1
 
4.2%
Other values (10) 10
41.7%

평일관람시작시각
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
10:00
21 
09:00
20 
10:30
 
1
08:00
 
1
09:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st row10:00
2nd row10:00
3rd row10:30
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 21
47.7%
09:00 20
45.5%
10:30 1
 
2.3%
08:00 1
 
2.3%
09:30 1
 
2.3%

Length

2024-03-14T09:49:43.063983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:43.146588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 21
47.7%
09:00 20
45.5%
10:30 1
 
2.3%
08:00 1
 
2.3%
09:30 1
 
2.3%

평일관람종료시각
Categorical

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
18:00
32 
17:00
5 
19:00
 
3
18:30
 
1
22:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row19:00
2nd row18:00
3rd row18:30
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 32
72.7%
17:00 5
 
11.4%
19:00 3
 
6.8%
18:30 1
 
2.3%
22:00 1
 
2.3%
17:30 1
 
2.3%
16:00 1
 
2.3%

Length

2024-03-14T09:49:43.247616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:43.385673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 32
72.7%
17:00 5
 
11.4%
19:00 3
 
6.8%
18:30 1
 
2.3%
22:00 1
 
2.3%
17:30 1
 
2.3%
16:00 1
 
2.3%

공휴일관람시작시각
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
10:00
19 
09:00
17 
00:00
7 
08:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row10:00
2nd row10:00
3rd row00:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 19
43.2%
09:00 17
38.6%
00:00 7
 
15.9%
08:00 1
 
2.3%

Length

2024-03-14T09:49:43.485113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:43.565662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 19
43.2%
09:00 17
38.6%
00:00 7
 
15.9%
08:00 1
 
2.3%

공휴일관람종료시각
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
18:00
30 
00:00
7 
19:00
 
3
17:00
 
3
22:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row19:00
2nd row18:00
3rd row00:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 30
68.2%
00:00 7
 
15.9%
19:00 3
 
6.8%
17:00 3
 
6.8%
22:00 1
 
2.3%

Length

2024-03-14T09:49:43.661243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:43.761460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 30
68.2%
00:00 7
 
15.9%
19:00 3
 
6.8%
17:00 3
 
6.8%
22:00 1
 
2.3%

휴관정보
Text

Distinct25
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:43.890351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length10.727273
Min length2

Characters and Unicode

Total characters472
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)38.6%

Sample

1st row월요일
2nd row월요일
3rd row월요일, 공휴일
4th row월요일, 일요일
5th row월요일, 화요일
ValueCountFrequency (%)
월요일 33
27.0%
1월 12
 
9.8%
1일 11
 
9.0%
1월1일 11
 
9.0%
공휴일 7
 
5.7%
설날 6
 
4.9%
일요일 5
 
4.1%
추석 5
 
4.1%
주말 3
 
2.5%
추석날 2
 
1.6%
Other values (22) 27
22.1%
2024-03-14T09:49:44.140091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 80
16.9%
78
16.5%
월 59
12.5%
, 54
11.4%
1 48
10.2%
요 40
8.5%
휴 12
 
2.5%
석 9
 
1.9%
날 9
 
1.9%
추 9
 
1.9%
Other values (36) 74
15.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
60.6%
Space Separator 78
 
16.5%
Other Punctuation 54
 
11.4%
Decimal Number 50
 
10.6%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 80
28.0%
월 59
20.6%
요 40
14.0%
휴 12
 
4.2%
석 9
 
3.1%
날 9
 
3.1%
추 9
 
3.1%
설 8
 
2.8%
공 7
 
2.4%
주 6
 
2.1%
Other values (29) 47
16.4%
Decimal Number
ValueCountFrequency (%)
1 48
96.0%
0 1
 
2.0%
5 1
 
2.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
60.6%
Common 186
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 80
28.0%
월 59
20.6%
요 40
14.0%
휴 12
 
4.2%
석 9
 
3.1%
날 9
 
3.1%
추 9
 
3.1%
설 8
 
2.8%
공 7
 
2.4%
주 6
 
2.1%
Other values (29) 47
16.4%
Common
ValueCountFrequency (%)
78
41.9%
, 54
29.0%
1 48
25.8%
) 2
 
1.1%
( 2
 
1.1%
0 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
60.6%
ASCII 186
39.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 80
28.0%
월 59
20.6%
요 40
14.0%
휴 12
 
4.2%
석 9
 
3.1%
날 9
 
3.1%
추 9
 
3.1%
설 8
 
2.8%
공 7
 
2.4%
주 6
 
2.1%
Other values (29) 47
16.4%
ASCII
ValueCountFrequency (%)
78
41.9%
, 54
29.0%
1 48
25.8%
) 2
 
1.1%
( 2
 
1.1%
0 1
 
0.5%
5 1
 
0.5%

어른관람료
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean722.72727
Minimum0
Maximum7000
Zeros34
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-14T09:49:44.238362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3000
Maximum7000
Range7000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1529.9892
Coefficient of variation (CV)2.1169661
Kurtosis5.7643325
Mean722.72727
Median Absolute Deviation (MAD)0
Skewness2.3309415
Sum31800
Variance2340866.8
MonotonicityNot monotonic
2024-03-14T09:49:44.337459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 34
77.3%
3000 6
 
13.6%
4000 1
 
2.3%
2000 1
 
2.3%
800 1
 
2.3%
7000 1
 
2.3%
ValueCountFrequency (%)
0 34
77.3%
800 1
 
2.3%
2000 1
 
2.3%
3000 6
 
13.6%
4000 1
 
2.3%
7000 1
 
2.3%
ValueCountFrequency (%)
7000 1
 
2.3%
4000 1
 
2.3%
3000 6
 
13.6%
2000 1
 
2.3%
800 1
 
2.3%
0 34
77.3%

청소년관람료
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.54545
Minimum0
Maximum7000
Zeros34
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-14T09:49:44.438746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2340
Maximum7000
Range7000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1291.5566
Coefficient of variation (CV)2.3290365
Kurtosis13.895786
Mean554.54545
Median Absolute Deviation (MAD)0
Skewness3.3216723
Sum24400
Variance1668118.4
MonotonicityNot monotonic
2024-03-14T09:49:44.524019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 34
77.3%
2000 6
 
13.6%
2400 1
 
2.3%
2500 1
 
2.3%
500 1
 
2.3%
7000 1
 
2.3%
ValueCountFrequency (%)
0 34
77.3%
500 1
 
2.3%
2000 6
 
13.6%
2400 1
 
2.3%
2500 1
 
2.3%
7000 1
 
2.3%
ValueCountFrequency (%)
7000 1
 
2.3%
2500 1
 
2.3%
2400 1
 
2.3%
2000 6
 
13.6%
500 1
 
2.3%
0 34
77.3%

어린이관람료
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
35 
1000
5 
2000
 
2
1800
 
1
7000
 
1

Length

Max length4
Median length1
Mean length1.6136364
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row0
2nd row1800
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
79.5%
1000 5
 
11.4%
2000 2
 
4.5%
1800 1
 
2.3%
7000 1
 
2.3%

Length

2024-03-14T09:49:44.641356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:44.736024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
79.5%
1000 5
 
11.4%
2000 2
 
4.5%
1800 1
 
2.3%
7000 1
 
2.3%

관람료기타정보
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing43
Missing (%)97.7%
Memory size484.0 B
2024-03-14T09:49:44.841349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters12
Distinct characters9
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

Unique1 ?
Unique (%)100.0%

Sample

1st row4D 영상실 3000원
ValueCountFrequency (%)
4d 1
33.3%
영상실 1
33.3%
3000원 1
33.3%
2024-03-14T09:49:45.090107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
25.0%
2
16.7%
4 1
 
8.3%
D 1
 
8.3%
영 1
 
8.3%
상 1
 
8.3%
실 1
 
8.3%
3 1
 
8.3%
원 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5
41.7%
Other Letter 4
33.3%
Space Separator 2
 
16.7%
Uppercase Letter 1
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1
25.0%
상 1
25.0%
실 1
25.0%
원 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
4 1
 
20.0%
3 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
58.3%
Hangul 4
33.3%
Latin 1
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
42.9%
2
28.6%
4 1
 
14.3%
3 1
 
14.3%
Hangul
ValueCountFrequency (%)
영 1
25.0%
상 1
25.0%
실 1
25.0%
원 1
25.0%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
66.7%
Hangul 4
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
37.5%
2
25.0%
4 1
 
12.5%
D 1
 
12.5%
3 1
 
12.5%
Hangul
ValueCountFrequency (%)
영 1
25.0%
상 1
25.0%
실 1
25.0%
원 1
25.0%

박물관미술관소개
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

교통안내정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

관리기관전화번호
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:45.278153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.136364
Min length12

Characters and Unicode

Total characters534
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

Unique42 ?
Unique (%)95.5%

Sample

1st row063-287-1245
2nd row063-283-8887
3rd row063-222-7235
4th row063-911-2207
5th row063-446-5903
ValueCountFrequency (%)
063-222-1000 2
 
4.5%
063-850-3240 1
 
2.3%
063-287-6305 1
 
2.3%
063-580-3964 1
 
2.3%
063-454-7870 1
 
2.3%
063-536-1894 1
 
2.3%
063-652-6792 1
 
2.3%
063-430-8086 1
 
2.3%
063-859-4633 1
 
2.3%
063-539-7114 1
 
2.3%
Other values (33) 33
75.0%
2024-03-14T09:49:45.624877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 93
17.4%
- 88
16.5%
3 72
13.5%
6 71
13.3%
8 40
7.5%
2 37
 
6.9%
5 32
 
6.0%
1 27
 
5.1%
4 25
 
4.7%
9 23
 
4.3%
Other values (2) 26
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
82.8%
Dash Punctuation 88
 
16.5%
Space Separator 4
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 93
21.0%
3 72
16.3%
6 71
16.1%
8 40
9.0%
2 37
 
8.4%
5 32
 
7.2%
1 27
 
6.1%
4 25
 
5.7%
9 23
 
5.2%
7 22
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 93
17.4%
- 88
16.5%
3 72
13.5%
6 71
13.3%
8 40
7.5%
2 37
 
6.9%
5 32
 
6.0%
1 27
 
5.1%
4 25
 
4.7%
9 23
 
4.3%
Other values (2) 26
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 93
17.4%
- 88
16.5%
3 72
13.5%
6 71
13.3%
8 40
7.5%
2 37
 
6.9%
5 32
 
6.0%
1 27
 
5.1%
4 25
 
4.7%
9 23
 
4.3%
Other values (2) 26
 
4.9%

관리기관명
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T09:49:45.854795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.9545455
Min length4

Characters and Unicode

Total characters350
Distinct characters114
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

Unique42 ?
Unique (%)95.5%

Sample

1st row교동아트미술관
2nd row전주미술관
3rd row누벨벡미술관
4th row예깊미술관
5th row이당미술관
ValueCountFrequency (%)
전라북도 4
 
7.5%
미술관 3
 
5.7%
전주시 2
 
3.8%
전주대학교박물관 1
 
1.9%
마한박물관 1
 
1.9%
순창군 1
 
1.9%
전주전통술박물관 1
 
1.9%
청자박물관 1
 
1.9%
군산근대역사박물관 1
 
1.9%
동학농민혁명기념관 1
 
1.9%
Other values (37) 37
69.8%
2024-03-14T09:49:46.136706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 40
 
11.4%
물 24
 
6.9%
박 22
 
6.3%
전 18
 
5.1%
미 17
 
4.9%
술 17
 
4.9%
9
 
2.6%
주 9
 
2.6%
북 8
 
2.3%
도 7
 
2.0%
Other values (104) 179
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
94.6%
Space Separator 9
 
2.6%
Decimal Number 3
 
0.9%
Uppercase Letter 3
 
0.9%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 40
 
12.1%
물 24
 
7.3%
박 22
 
6.6%
전 18
 
5.4%
미 17
 
5.1%
술 17
 
5.1%
주 9
 
2.7%
북 8
 
2.4%
도 7
 
2.1%
라 7
 
2.1%
Other values (95) 162
48.9%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
6 1
33.3%
5 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
M 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
94.6%
Common 16
 
4.6%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 40
 
12.1%
물 24
 
7.3%
박 22
 
6.6%
전 18
 
5.4%
미 17
 
5.1%
술 17
 
5.1%
주 9
 
2.7%
북 8
 
2.4%
도 7
 
2.1%
라 7
 
2.1%
Other values (95) 162
48.9%
Common
ValueCountFrequency (%)
9
56.2%
) 2
 
12.5%
( 2
 
12.5%
1 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
Latin
ValueCountFrequency (%)
W 1
33.3%
M 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
94.6%
ASCII 19
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 40
 
12.1%
물 24
 
7.3%
박 22
 
6.6%
전 18
 
5.4%
미 17
 
5.1%
술 17
 
5.1%
주 9
 
2.7%
북 8
 
2.4%
도 7
 
2.1%
라 7
 
2.1%
Other values (95) 162
48.9%
ASCII
ValueCountFrequency (%)
9
47.4%
) 2
 
10.5%
( 2
 
10.5%
1 1
 
5.3%
6 1
 
5.3%
5 1
 
5.3%
W 1
 
5.3%
M 1
 
5.3%
V 1
 
5.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2017-09-18
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-09-18
2nd row2017-09-18
3rd row2017-09-18
4th row2017-09-18
5th row2017-09-18

Common Values

ValueCountFrequency (%)
2017-09-18 44
100.0%

Length

2024-03-14T09:49:46.235164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:49:46.306440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-09-18 44
100.0%

Sample

시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
0교동아트미술관사립전라북도 전주시 완산구 경기전길89<NA>35.815462127.151153063-287-1245교동아트미술관http://www.gdart.co.kr/<NA>10:0019:0010:0019:00월요일000<NA><NA><NA>063-287-1245교동아트미술관2017-09-18
1전주미술관사립전라북도 전주시 완산구 기린대로 85 르윈호텔 B1<NA>35.817156127.154004063-283-8887전주미술관http://www.jeonjumuseum.com<NA>10:0018:0010:0018:00월요일400024001800<NA><NA><NA>063-283-8887전주미술관2017-09-18
2누벨벡미술관사립전라북도 전주시 완산구 홍산북로 29-5<NA>35.817887127.104928063-222-7235누벨벡미술관http://blog.naver.com/sheen1711/220916891261<NA>10:3018:3000:0000:00월요일, 공휴일000<NA><NA><NA>063-222-7235누벨벡미술관2017-09-18
3예깊미술관사립전라북도 군산시 대학로 64 에이팩스 빌딩 2층<NA>35.984778126.709594063-911-2207예깊미술관http://www.yegip.co.kr/<NA>10:0018:0010:0018:00월요일, 일요일000<NA><NA><NA>063-911-2207예깊미술관2017-09-18
4이당미술관사립전라북도 군산시 구영 6길 108번지<NA>35.988404126.71125063-446-5903이당미술관http://yidang.org/<NA>10:0018:0010:0018:00월요일, 화요일000<NA><NA><NA>063-446-5903이당미술관2017-09-18
5익산예술의전당 미술관공립전라북도 익산시 동서로 490<NA>35.951958126.9878151577-0072전라북도 익산시http://arts.iksan.go.kr카페+식당09:0022:0009:0022:00매주월요일, 설날 및 추석당일, 행사 없는날, 1월1일000<NA><NA><NA>063-859-3317익산예술의전당 미술관2017-09-18
6W미술관사립전라북도 익산시 어양동 동서로 504<NA>35.955508126.984262063-835-3033W미술관http://blog.naver.com/museumw<NA>10:0018:0010:0018:00월요일000<NA><NA><NA>063-835-3033W미술관2017-09-18
7정읍시립미술관공립전라북도 정읍시 시기 4길 7<NA>35.552326126.861473063-539-7114전라북도 정읍시http://jma.jeongeup.go.kr/<NA>10:0018:0010:0018:00월요일000<NA><NA><NA>063-539-6420정읍시립미술관2017-09-18
8수지미술관사립전라북도 남원시 수지면 물머리로 525<NA>35.327258127.34781063-631-1009수지미술관http://sujimuseum.com/<NA>10:0018:0010:0018:00월요일300020002000<NA><NA><NA>063-631-1009수지미술관2017-09-18
9예가람길 미술관사립전라북도 남원시 동헌길 84<NA>35.407717127.381008063-632-0080예가람길 미술관<NA><NA>10:0019:0010:0019:00월요일, 일요일, 국경일000<NA><NA><NA>063-632-0080예가람길 미술관2017-09-18
시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
34원숭이자연사박물관사립전라북도 부안군 상서면 부안로 1783<NA>35.668096126.671406063-584-0708원숭이자연사박물관http://www.monkeypark.co.kr<NA>10:0018:0010:0018:00무휴700070007000<NA><NA><NA>063-584-0708원숭이자연사박물관2017-09-18
35전주한지박물관사립전라북도 전주시 덕진구 팔복로 59<NA>35.849033127.100241063-210-8103전주한지박물관http://www.hanjimuseum.co.kr/<NA>09:0017:0009:0017:00월요일, 1월 1일, 설 연휴, 추석연휴000<NA><NA><NA>063-110-8103전주한지박물관2017-09-18
36예수병원의학박물관사립전라북도 전주시 완산구 서원로 365<NA>35.814392127.133229063-230-8778예수병원의학박물관http://museum.jesushospital.com<NA>09:0018:0000:0000:00일요일, 월요일, 법정 공휴일000<NA><NA><NA>063-230-8778예수병원의학박물관2017-09-18
37카메라영상박물관사립전라북도 완주군 소양면 신교응암길 14<NA>35.853011127.206558063-560-6600카메라영상박물관<NA><NA>09:0018:0000:0000:00일요일, 월요일, 법정 공휴일000<NA><NA><NA>063-560-6600카메라영상박물관2017-09-18
38연안이씨종중문적(보물651호)박물관사립전라북도 익산시 삼기면 기산리 332-1번지<NA>36.025277127.016298063-852-7277연안이씨종중문적(보물651호)박물관<NA><NA>10:0018:0010:0018:001월 1일, 월요일, 추석, 설300020001000<NA><NA><NA>063-852-7277연안이씨종중문적(보물651호)박물관2017-09-18
39완주책박물관사립전라북도 완주군 삼례읍 후정리 247-1<NA>35.906129127.066171070-8915-8131완주책박물관http://www.srartvil.kr/index.9is?contentUid=ff8080813e5ec385013e5f16b934006d<NA>10:0018:0010:0018:001월 1일, 월요일000<NA><NA><NA>070-8915-8131완주책박물관2017-09-18
40전북대학교박물관대학전라북도 전주시 덕진구 백제대로 567<NA>35.846257127.132005063-270-3488전북대학교박물관http://museum.chonbuk.ac.kr/<NA>09:3017:3000:0000:00공휴일, 일요일, 개교기념일(10월 15일)000<NA><NA><NA>063-270-3488전북대학교박물관2017-09-18
41전주대학교박물관대학전라북도 전주시 완산구 효자동3가 120<NA>35.827827127.094735063-220-2159전주대학교박물관http://museum.jeonju.ac.kr/<NA>09:0017:0000:0000:00주말, 공휴일000<NA><NA><NA>063-220-2159전주대학교박물관2017-09-18
42군산대학교박물관대학전라북도 군산시 미룡동 1170<NA>35.946864126.681349063-469-4191군산대학교박물관http://museum.kunsan.ac.kr/<NA>10:0017:0000:0000:00주말, 공휴일000<NA><NA><NA>063-469-4191군산대학교박물관2017-09-18
43원광대학교박물관대학전라북도 익산시 익산대로 460<NA>35.96783126.955717063-850-5482원광대학교박물관http://museum.wonkwang.ac.kr/<NA>10:0016:0000:0000:00주말, 공휴일, 방학기간000<NA><NA><NA>063-850-5482원광대학교박물관2017-09-18