Overview

Dataset statistics

Number of variables25
Number of observations340
Missing cells1139
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.2 KiB
Average record size in memory205.4 B

Variable types

Categorical2
Text13
Numeric5
DateTime5

Dataset

Description박물관 미술관 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6243I631A7C7L7M0JR1B21565119&infSeq=1

Alerts

운영홈페이지 has 199 (58.5%) missing valuesMissing
편의시설정보 has 275 (80.9%) missing valuesMissing
관람료기타정보 has 181 (53.2%) missing valuesMissing
박물관미술관소개 has 232 (68.2%) missing valuesMissing
교통안내정보 has 252 (74.1%) missing valuesMissing
어른관람료 has 148 (43.5%) zerosZeros
청소년관람료 has 153 (45.0%) zerosZeros
어린이관람료 has 164 (48.2%) zerosZeros

Reproduction

Analysis started2024-05-10 20:23:11.488535
Analysis finished2024-05-10 20:23:14.694677
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
용인시
39 
파주시
38 
여주시
23 
남양주시
21 
안산시
20 
Other values (24)
199 

Length

Max length4
Median length3
Mean length3.0794118
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안성시
2nd row안양시
3rd row양주시
4th row여주시
5th row여주시

Common Values

ValueCountFrequency (%)
용인시 39
 
11.5%
파주시 38
 
11.2%
여주시 23
 
6.8%
남양주시 21
 
6.2%
안산시 20
 
5.9%
양평군 16
 
4.7%
고양시 15
 
4.4%
부천시 14
 
4.1%
성남시 13
 
3.8%
광주시 13
 
3.8%
Other values (19) 128
37.6%

Length

2024-05-10T20:23:14.910231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 39
 
11.5%
파주시 38
 
11.2%
여주시 23
 
6.8%
남양주시 21
 
6.2%
안산시 20
 
5.9%
양평군 16
 
4.7%
고양시 15
 
4.4%
부천시 14
 
4.1%
성남시 13
 
3.8%
광주시 13
 
3.8%
Other values (19) 128
37.6%

시설명
Text

Distinct228
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:15.438771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length7.7411765
Min length4

Characters and Unicode

Total characters2632
Distinct characters298
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)34.4%

Sample

1st row안성맞춤박물관
2nd row안양박물관
3rd row양주시립회암사지박물관
4th row여주박물관
5th row여주시립폰박물관
ValueCountFrequency (%)
현대어린이책미술관 4
 
1.0%
충현박물관 3
 
0.8%
미술관 3
 
0.8%
박물관 3
 
0.8%
moka 3
 
0.8%
수원박물관 2
 
0.5%
백남준아트센터 2
 
0.5%
여성생활사박물관 2
 
0.5%
일지미술관 2
 
0.5%
한향림옹기박물관 2
 
0.5%
Other values (254) 373
93.5%
2024-05-10T20:23:16.359097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 309
 
11.7%
물 177
 
6.7%
박 176
 
6.7%
미 99
 
3.8%
술 93
 
3.5%
59
 
2.2%
기 46
 
1.7%
사 45
 
1.7%
시 39
 
1.5%
대 34
 
1.3%
Other values (288) 1555
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2485
94.4%
Space Separator 59
 
2.2%
Uppercase Letter 55
 
2.1%
Decimal Number 13
 
0.5%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Other Punctuation 6
 
0.2%
Final Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 309
 
12.4%
물 177
 
7.1%
박 176
 
7.1%
미 99
 
4.0%
술 93
 
3.7%
기 46
 
1.9%
사 45
 
1.8%
시 39
 
1.6%
대 34
 
1.4%
한 30
 
1.2%
Other values (263) 1437
57.8%
Uppercase Letter
ValueCountFrequency (%)
A 12
21.8%
M 10
18.2%
K 5
9.1%
O 5
9.1%
C 5
9.1%
I 4
 
7.3%
U 3
 
5.5%
D 3
 
5.5%
E 2
 
3.6%
R 2
 
3.6%
Other values (4) 4
 
7.3%
Decimal Number
ValueCountFrequency (%)
3 5
38.5%
1 5
38.5%
6 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
· 2
33.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2485
94.4%
Common 92
 
3.5%
Latin 55
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 309
 
12.4%
물 177
 
7.1%
박 176
 
7.1%
미 99
 
4.0%
술 93
 
3.7%
기 46
 
1.9%
사 45
 
1.8%
시 39
 
1.6%
대 34
 
1.4%
한 30
 
1.2%
Other values (263) 1437
57.8%
Latin
ValueCountFrequency (%)
A 12
21.8%
M 10
18.2%
K 5
9.1%
O 5
9.1%
C 5
9.1%
I 4
 
7.3%
U 3
 
5.5%
D 3
 
5.5%
E 2
 
3.6%
R 2
 
3.6%
Other values (4) 4
 
7.3%
Common
ValueCountFrequency (%)
59
64.1%
( 6
 
6.5%
) 6
 
6.5%
3 5
 
5.4%
1 5
 
5.4%
. 4
 
4.3%
· 2
 
2.2%
’ 2
 
2.2%
6 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2485
94.4%
ASCII 143
 
5.4%
None 2
 
0.1%
Punctuation 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 309
 
12.4%
물 177
 
7.1%
박 176
 
7.1%
미 99
 
4.0%
술 93
 
3.7%
기 46
 
1.9%
사 45
 
1.8%
시 39
 
1.6%
대 34
 
1.4%
한 30
 
1.2%
Other values (263) 1437
57.8%
ASCII
ValueCountFrequency (%)
59
41.3%
A 12
 
8.4%
M 10
 
7.0%
( 6
 
4.2%
) 6
 
4.2%
K 5
 
3.5%
O 5
 
3.5%
3 5
 
3.5%
C 5
 
3.5%
1 5
 
3.5%
Other values (13) 25
17.5%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

박물관미술관구분
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
사립
190 
공립
125 
대학
 
17
국립
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 190
55.9%
공립 125
36.8%
대학 17
 
5.0%
국립 8
 
2.4%

Length

2024-05-10T20:23:16.787560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:23:17.122185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 190
55.9%
공립 125
36.8%
대학 17
 
5.0%
국립 8
 
2.4%

소재지도로명주소
Text

Distinct215
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:17.633384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length20.432353
Min length13

Characters and Unicode

Total characters6947
Distinct characters222
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)29.1%

Sample

1st row경기도 안성시 대덕면 서동대로 4726-15
2nd row경기도 안양시 만안구 예술공원로103번길 4
3rd row경기도 양주시 회암사길 11
4th row경기도 여주시 신륵사길 6-12
5th row경기도 여주시 강변유원지길 105
ValueCountFrequency (%)
경기도 340
 
20.7%
용인시 39
 
2.4%
파주시 38
 
2.3%
탄현면 25
 
1.5%
여주시 23
 
1.4%
남양주시 21
 
1.3%
헤이리마을길 20
 
1.2%
안산시 20
 
1.2%
기흥구 18
 
1.1%
처인구 18
 
1.1%
Other values (448) 1083
65.8%
2024-05-10T20:23:18.676871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1307
 
18.8%
기 369
 
5.3%
경 357
 
5.1%
도 349
 
5.0%
시 319
 
4.6%
로 254
 
3.7%
1 210
 
3.0%
길 162
 
2.3%
3 140
 
2.0%
2 139
 
2.0%
Other values (212) 3341
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4345
62.5%
Space Separator 1307
 
18.8%
Decimal Number 1200
 
17.3%
Dash Punctuation 87
 
1.3%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 369
 
8.5%
경 357
 
8.2%
도 349
 
8.0%
시 319
 
7.3%
로 254
 
5.8%
길 162
 
3.7%
구 116
 
2.7%
주 115
 
2.6%
양 103
 
2.4%
면 102
 
2.3%
Other values (196) 2099
48.3%
Decimal Number
ValueCountFrequency (%)
1 210
17.5%
3 140
11.7%
2 139
11.6%
6 125
10.4%
4 123
10.2%
0 103
8.6%
7 102
8.5%
5 96
8.0%
9 82
 
6.8%
8 80
 
6.7%
Space Separator
ValueCountFrequency (%)
1307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4345
62.5%
Common 2602
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 369
 
8.5%
경 357
 
8.2%
도 349
 
8.0%
시 319
 
7.3%
로 254
 
5.8%
길 162
 
3.7%
구 116
 
2.7%
주 115
 
2.6%
양 103
 
2.4%
면 102
 
2.3%
Other values (196) 2099
48.3%
Common
ValueCountFrequency (%)
1307
50.2%
1 210
 
8.1%
3 140
 
5.4%
2 139
 
5.3%
6 125
 
4.8%
4 123
 
4.7%
0 103
 
4.0%
7 102
 
3.9%
5 96
 
3.7%
- 87
 
3.3%
Other values (6) 170
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4345
62.5%
ASCII 2602
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1307
50.2%
1 210
 
8.1%
3 140
 
5.4%
2 139
 
5.3%
6 125
 
4.8%
4 123
 
4.7%
0 103
 
4.0%
7 102
 
3.9%
5 96
 
3.7%
- 87
 
3.3%
Other values (6) 170
 
6.5%
Hangul
ValueCountFrequency (%)
기 369
 
8.5%
경 357
 
8.2%
도 349
 
8.0%
시 319
 
7.3%
로 254
 
5.8%
길 162
 
3.7%
구 116
 
2.7%
주 115
 
2.6%
양 103
 
2.4%
면 102
 
2.3%
Other values (196) 2099
48.3%

소재지지번주소
Text

Distinct308
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:19.267998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length21.161765
Min length15

Characters and Unicode

Total characters7195
Distinct characters184
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)82.1%

Sample

1st row경기도 안성시 대덕면 내리 399-5번지
2nd row경기도 안양시 만안구 석수동 214번지
3rd row경기도 양주시 율정동 299-1번지
4th row경기도 여주시 천송동 588-6번지
5th row경기도 여주시 연양동 304-8번지
ValueCountFrequency (%)
경기도 340
 
20.6%
용인시 39
 
2.4%
파주시 38
 
2.3%
탄현면 26
 
1.6%
법흥리 25
 
1.5%
여주시 23
 
1.4%
남양주시 21
 
1.3%
안산시 20
 
1.2%
처인구 18
 
1.1%
기흥구 18
 
1.1%
Other values (562) 1079
65.5%
2024-05-10T20:23:20.296518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1307
 
18.2%
기 364
 
5.1%
도 348
 
4.8%
경 340
 
4.7%
시 319
 
4.4%
1 244
 
3.4%
지 219
 
3.0%
번 211
 
2.9%
- 211
 
2.9%
동 200
 
2.8%
Other values (174) 3432
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4388
61.0%
Space Separator 1307
 
18.2%
Decimal Number 1285
 
17.9%
Dash Punctuation 211
 
2.9%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 364
 
8.3%
도 348
 
7.9%
경 340
 
7.7%
시 319
 
7.3%
지 219
 
5.0%
번 211
 
4.8%
동 200
 
4.6%
리 159
 
3.6%
구 123
 
2.8%
주 111
 
2.5%
Other values (158) 1994
45.4%
Decimal Number
ValueCountFrequency (%)
1 244
19.0%
2 163
12.7%
3 145
11.3%
4 130
10.1%
6 128
10.0%
5 124
9.6%
9 96
 
7.5%
8 95
 
7.4%
7 85
 
6.6%
0 75
 
5.8%
Space Separator
ValueCountFrequency (%)
1307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4388
61.0%
Common 2807
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 364
 
8.3%
도 348
 
7.9%
경 340
 
7.7%
시 319
 
7.3%
지 219
 
5.0%
번 211
 
4.8%
동 200
 
4.6%
리 159
 
3.6%
구 123
 
2.8%
주 111
 
2.5%
Other values (158) 1994
45.4%
Common
ValueCountFrequency (%)
1307
46.6%
1 244
 
8.7%
- 211
 
7.5%
2 163
 
5.8%
3 145
 
5.2%
4 130
 
4.6%
6 128
 
4.6%
5 124
 
4.4%
9 96
 
3.4%
8 95
 
3.4%
Other values (6) 164
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4388
61.0%
ASCII 2807
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1307
46.6%
1 244
 
8.7%
- 211
 
7.5%
2 163
 
5.8%
3 145
 
5.2%
4 130
 
4.6%
6 128
 
4.6%
5 124
 
4.4%
9 96
 
3.4%
8 95
 
3.4%
Other values (6) 164
 
5.8%
Hangul
ValueCountFrequency (%)
기 364
 
8.3%
도 348
 
7.9%
경 340
 
7.7%
시 319
 
7.3%
지 219
 
5.0%
번 211
 
4.8%
동 200
 
4.6%
리 159
 
3.6%
구 123
 
2.8%
주 111
 
2.5%
Other values (158) 1994
45.4%

위도
Real number (ℝ)

Distinct295
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.473678
Minimum37.011318
Maximum38.073222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-10T20:23:20.711883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.011318
5-th percentile37.159277
Q137.282591
median37.438127
Q337.650462
95-th percentile37.842019
Maximum38.073222
Range1.0619039
Interquartile range (IQR)0.36787073

Descriptive statistics

Standard deviation0.23218861
Coefficient of variation (CV)0.0061960453
Kurtosis-0.74513947
Mean37.473678
Median Absolute Deviation (MAD)0.16995669
Skewness0.34242532
Sum12741.05
Variance0.053911549
MonotonicityNot monotonic
2024-05-10T20:23:21.188063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2681701973 3
 
0.9%
37.06278466 3
 
0.9%
37.47730512 2
 
0.6%
37.21975458 2
 
0.6%
37.205538 2
 
0.6%
37.61625793 2
 
0.6%
37.4339273 2
 
0.6%
37.6504135 2
 
0.6%
37.21011748 2
 
0.6%
37.41355842 2
 
0.6%
Other values (285) 318
93.5%
ValueCountFrequency (%)
37.01131789 1
 
0.3%
37.011318 1
 
0.3%
37.03497838 1
 
0.3%
37.062338 1
 
0.3%
37.06236123 1
 
0.3%
37.06278466 3
0.9%
37.09101912 1
 
0.3%
37.1120754 1
 
0.3%
37.11208086 1
 
0.3%
37.12630809 2
0.6%
ValueCountFrequency (%)
38.07322174 1
0.3%
38.0683561 1
0.3%
38.06419252 1
0.3%
38.01159172 2
0.6%
37.96592581 1
0.3%
37.94467222 1
0.3%
37.94467141 1
0.3%
37.9425518 1
0.3%
37.94250187 1
0.3%
37.904512 1
0.3%

경도
Real number (ℝ)

Distinct299
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06894
Minimum126.53871
Maximum127.73733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-10T20:23:21.622486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53871
5-th percentile126.64612
Q1126.85174
median127.06606
Q3127.23131
95-th percentile127.61747
Maximum127.73733
Range1.1986238
Interquartile range (IQR)0.3795769

Descriptive statistics

Standard deviation0.28198278
Coefficient of variation (CV)0.0022191321
Kurtosis-0.53840202
Mean127.06894
Median Absolute Deviation (MAD)0.2026912
Skewness0.27002721
Sum43203.441
Variance0.079514286
MonotonicityNot monotonic
2024-05-10T20:23:22.174815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1752952 3
 
0.9%
127.1524291 2
 
0.6%
127.3220198 2
 
0.6%
127.2711276 2
 
0.6%
127.090171 2
 
0.6%
126.6024191 2
 
0.6%
127.0637623 2
 
0.6%
126.8915958 2
 
0.6%
127.2216269 2
 
0.6%
126.9793812 2
 
0.6%
Other values (289) 319
93.8%
ValueCountFrequency (%)
126.538711 1
0.3%
126.5387223 1
0.3%
126.5389774 2
0.6%
126.5743488 1
0.3%
126.5744359 1
0.3%
126.5759886 1
0.3%
126.5759889 1
0.3%
126.5977703 1
0.3%
126.5977739 1
0.3%
126.6024191 2
0.6%
ValueCountFrequency (%)
127.7373348 1
0.3%
127.7081445 1
0.3%
127.7081433 1
0.3%
127.6881237 1
0.3%
127.688123 1
0.3%
127.666904 2
0.6%
127.6633506 1
0.3%
127.663332 1
0.3%
127.6554281 2
0.6%
127.6545462 1
0.3%

운영기관전화번호
Text

Distinct230
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:22.838462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047059
Min length9

Characters and Unicode

Total characters4096
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

Unique129 ?
Unique (%)37.9%

Sample

1st row031-678-2507
2nd row031-687-0909
3rd row031-8082-5655
4th row031-887-3583
5th row031-887-3547
ValueCountFrequency (%)
031-231-7200 6
 
1.8%
031-687-0909 4
 
1.2%
02-898-0505 3
 
0.9%
032-320-6300 3
 
0.9%
031-678-2500 3
 
0.9%
031-323-1968 2
 
0.6%
031-592-1865 2
 
0.6%
031-874-0734 2
 
0.6%
031-873-4613 2
 
0.6%
031-955-4100 2
 
0.6%
Other values (220) 311
91.5%
2024-05-10T20:23:23.876604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 707
17.3%
- 679
16.6%
3 542
13.2%
1 499
12.2%
8 286
7.0%
2 285
7.0%
7 264
 
6.4%
5 224
 
5.5%
6 210
 
5.1%
9 203
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3417
83.4%
Dash Punctuation 679
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 707
20.7%
3 542
15.9%
1 499
14.6%
8 286
8.4%
2 285
8.3%
7 264
 
7.7%
5 224
 
6.6%
6 210
 
6.1%
9 203
 
5.9%
4 197
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4096
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 707
17.3%
- 679
16.6%
3 542
13.2%
1 499
12.2%
8 286
7.0%
2 285
7.0%
7 264
 
6.4%
5 224
 
5.5%
6 210
 
5.1%
9 203
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 707
17.3%
- 679
16.6%
3 542
13.2%
1 499
12.2%
8 286
7.0%
2 285
7.0%
7 264
 
6.4%
5 224
 
5.5%
6 210
 
5.1%
9 203
 
5.0%

운영기관명
Text

Distinct230
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:24.426052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.5558824
Min length3

Characters and Unicode

Total characters2569
Distinct characters272
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)41.5%

Sample

1st row경기도 안성시
2nd row(재)안양문화예술재단
3rd row경기도 양주시 양주시청
4th row여주박물관
5th row여주시립폰박물관
ValueCountFrequency (%)
경기도 27
 
6.6%
재)경기문화재단 10
 
2.5%
안성시 7
 
1.7%
부천문화재단 5
 
1.2%
재단법인 5
 
1.2%
고양문화재단 4
 
1.0%
안산시청 3
 
0.7%
재)부천문화재단 3
 
0.7%
신구대학교 3
 
0.7%
재)한국도자재단 3
 
0.7%
Other values (243) 338
82.8%
2024-05-10T20:23:25.310787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 180
 
7.0%
물 100
 
3.9%
박 99
 
3.9%
재 94
 
3.7%
술 79
 
3.1%
미 77
 
3.0%
화 74
 
2.9%
68
 
2.6%
단 63
 
2.5%
문 61
 
2.4%
Other values (262) 1674
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2392
93.1%
Space Separator 68
 
2.6%
Close Punctuation 37
 
1.4%
Open Punctuation 36
 
1.4%
Uppercase Letter 28
 
1.1%
Other Symbol 4
 
0.2%
Decimal Number 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 180
 
7.5%
물 100
 
4.2%
박 99
 
4.1%
재 94
 
3.9%
술 79
 
3.3%
미 77
 
3.2%
화 74
 
3.1%
단 63
 
2.6%
문 61
 
2.6%
시 59
 
2.5%
Other values (242) 1506
63.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
17.9%
C 5
17.9%
M 4
14.3%
K 3
10.7%
U 2
 
7.1%
I 2
 
7.1%
O 2
 
7.1%
H 1
 
3.6%
E 1
 
3.6%
S 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2396
93.3%
Common 145
 
5.6%
Latin 28
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 180
 
7.5%
물 100
 
4.2%
박 99
 
4.1%
재 94
 
3.9%
술 79
 
3.3%
미 77
 
3.2%
화 74
 
3.1%
단 63
 
2.6%
문 61
 
2.5%
시 59
 
2.5%
Other values (243) 1510
63.0%
Latin
ValueCountFrequency (%)
A 5
17.9%
C 5
17.9%
M 4
14.3%
K 3
10.7%
U 2
 
7.1%
I 2
 
7.1%
O 2
 
7.1%
H 1
 
3.6%
E 1
 
3.6%
S 1
 
3.6%
Other values (2) 2
 
7.1%
Common
ValueCountFrequency (%)
68
46.9%
) 37
25.5%
( 36
24.8%
5 1
 
0.7%
6 1
 
0.7%
. 1
 
0.7%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2392
93.1%
ASCII 173
 
6.7%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 180
 
7.5%
물 100
 
4.2%
박 99
 
4.1%
재 94
 
3.9%
술 79
 
3.3%
미 77
 
3.2%
화 74
 
3.1%
단 63
 
2.6%
문 61
 
2.6%
시 59
 
2.5%
Other values (242) 1506
63.0%
ASCII
ValueCountFrequency (%)
68
39.3%
) 37
21.4%
( 36
20.8%
A 5
 
2.9%
C 5
 
2.9%
M 4
 
2.3%
K 3
 
1.7%
U 2
 
1.2%
I 2
 
1.2%
O 2
 
1.2%
Other values (9) 9
 
5.2%
None
ValueCountFrequency (%)
㈜ 4
100.0%

운영홈페이지
Text

MISSING 

Distinct130
Distinct (%)92.2%
Missing199
Missing (%)58.5%
Memory size2.8 KiB
2024-05-10T20:23:25.874490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length27.191489
Min length13

Characters and Unicode

Total characters3834
Distinct characters61
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)88.7%

Sample

1st rowhttp://www.goyangcm.or.kr
2nd rowhttp://www.artgy.or.kr
3rd rowhttp://www.goyang.go.kr/agr/agr02/agr02_8.jsp
4th rowhttps://www.uiwang.go.kr/
5th rowhttps://www.railroadmuseum.co.kr/
ValueCountFrequency (%)
http://www.bcmuseum.or.kr 5
 
3.5%
https://www.yp21.go.kr/museumhub 5
 
3.5%
http://www.hmoka.org 2
 
1.4%
http://www.glassisland.co.kr 2
 
1.4%
http://museum.dankook.ac.kr 2
 
1.4%
http://www.chunghyeon.org 2
 
1.4%
http://www.덕포진교육박물관.kr 1
 
0.7%
https://hsmuseum.suwon.go.kr 1
 
0.7%
http://www.snab.or.kr 1
 
0.7%
https://blog.naver.com/mihonhm 1
 
0.7%
Other values (119) 119
84.4%
2024-05-10T20:23:26.870348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 370
 
9.7%
/ 349
 
9.1%
w 335
 
8.7%
t 282
 
7.4%
o 245
 
6.4%
m 208
 
5.4%
r 190
 
5.0%
h 170
 
4.4%
u 165
 
4.3%
s 163
 
4.3%
Other values (51) 1357
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2899
75.6%
Other Punctuation 837
 
21.8%
Decimal Number 62
 
1.6%
Other Letter 20
 
0.5%
Uppercase Letter 7
 
0.2%
Dash Punctuation 4
 
0.1%
Connector Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 335
 
11.6%
t 282
 
9.7%
o 245
 
8.5%
m 208
 
7.2%
r 190
 
6.6%
h 170
 
5.9%
u 165
 
5.7%
s 163
 
5.6%
a 145
 
5.0%
p 140
 
4.8%
Other values (15) 856
29.5%
Other Letter
ValueCountFrequency (%)
관 3
15.0%
박 2
 
10.0%
물 2
 
10.0%
육 1
 
5.0%
교 1
 
5.0%
진 1
 
5.0%
덕 1
 
5.0%
포 1
 
5.0%
여 1
 
5.0%
충 1
 
5.0%
Other values (6) 6
30.0%
Decimal Number
ValueCountFrequency (%)
1 15
24.2%
2 12
19.4%
0 11
17.7%
4 8
12.9%
9 6
 
9.7%
8 4
 
6.5%
6 3
 
4.8%
3 1
 
1.6%
5 1
 
1.6%
7 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 370
44.2%
/ 349
41.7%
: 116
 
13.9%
? 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 5
71.4%
U 1
 
14.3%
I 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2906
75.8%
Common 908
 
23.7%
Hangul 20
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 335
 
11.5%
t 282
 
9.7%
o 245
 
8.4%
m 208
 
7.2%
r 190
 
6.5%
h 170
 
5.8%
u 165
 
5.7%
s 163
 
5.6%
a 145
 
5.0%
p 140
 
4.8%
Other values (18) 863
29.7%
Common
ValueCountFrequency (%)
. 370
40.7%
/ 349
38.4%
: 116
 
12.8%
1 15
 
1.7%
2 12
 
1.3%
0 11
 
1.2%
4 8
 
0.9%
9 6
 
0.7%
8 4
 
0.4%
- 4
 
0.4%
Other values (7) 13
 
1.4%
Hangul
ValueCountFrequency (%)
관 3
15.0%
박 2
 
10.0%
물 2
 
10.0%
육 1
 
5.0%
교 1
 
5.0%
진 1
 
5.0%
덕 1
 
5.0%
포 1
 
5.0%
여 1
 
5.0%
충 1
 
5.0%
Other values (6) 6
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3814
99.5%
Hangul 20
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 370
 
9.7%
/ 349
 
9.2%
w 335
 
8.8%
t 282
 
7.4%
o 245
 
6.4%
m 208
 
5.5%
r 190
 
5.0%
h 170
 
4.5%
u 165
 
4.3%
s 163
 
4.3%
Other values (35) 1337
35.1%
Hangul
ValueCountFrequency (%)
관 3
15.0%
박 2
 
10.0%
물 2
 
10.0%
육 1
 
5.0%
교 1
 
5.0%
진 1
 
5.0%
덕 1
 
5.0%
포 1
 
5.0%
여 1
 
5.0%
충 1
 
5.0%
Other values (6) 6
30.0%

편의시설정보
Text

MISSING 

Distinct56
Distinct (%)86.2%
Missing275
Missing (%)80.9%
Memory size2.8 KiB
2024-05-10T20:23:27.478521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length25
Mean length17.230769
Min length2

Characters and Unicode

Total characters1120
Distinct characters190
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)76.9%

Sample

1st row전시실+사무실+교육실+수장고
2nd row전시실+갤러리+카페+ 체험.교육관+수장고
3rd row전시실+사무실+수장고
4th row휴게실+기념품점
5th row문화상품점
ValueCountFrequency (%)
문화상품점 4
 
4.0%
문화상품점+황토마루카페+물품보관소+응급대기실+수유실+자전거보관대 3
 
3.0%
화장실 2
 
2.0%
빔프로젝터 2
 
2.0%
벤치 2
 
2.0%
및 2
 
2.0%
휴게공간 2
 
2.0%
카페 2
 
2.0%
주차장(20대)+사진촬영허가 2
 
2.0%
문화상품점(boda)+뮤지엄카페(murano 2
 
2.0%
Other values (77) 77
77.0%
2024-05-10T20:23:28.610520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 89
 
7.9%
실 42
 
3.8%
35
 
3.1%
카 28
 
2.5%
페 28
 
2.5%
장 24
 
2.1%
관 21
 
1.9%
품 21
 
1.9%
대 19
 
1.7%
t 17
 
1.5%
Other values (180) 796
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 697
62.2%
Lowercase Letter 165
 
14.7%
Math Symbol 91
 
8.1%
Other Punctuation 50
 
4.5%
Space Separator 35
 
3.1%
Uppercase Letter 26
 
2.3%
Decimal Number 23
 
2.1%
Open Punctuation 15
 
1.3%
Close Punctuation 15
 
1.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 42
 
6.0%
카 28
 
4.0%
페 28
 
4.0%
장 24
 
3.4%
관 21
 
3.0%
품 21
 
3.0%
대 19
 
2.7%
화 17
 
2.4%
점 16
 
2.3%
수 15
 
2.2%
Other values (131) 466
66.9%
Lowercase Letter
ValueCountFrequency (%)
t 17
 
10.3%
w 12
 
7.3%
a 11
 
6.7%
o 11
 
6.7%
u 11
 
6.7%
i 10
 
6.1%
n 10
 
6.1%
h 10
 
6.1%
c 10
 
6.1%
r 8
 
4.8%
Other values (12) 55
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 4
15.4%
D 4
15.4%
A 4
15.4%
R 3
11.5%
B 3
11.5%
M 3
11.5%
U 2
7.7%
N 2
7.7%
V 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 6
26.1%
0 6
26.1%
1 5
21.7%
3 3
13.0%
9 2
 
8.7%
4 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 16
32.0%
. 14
28.0%
, 11
22.0%
: 7
14.0%
? 2
 
4.0%
Math Symbol
ValueCountFrequency (%)
+ 89
97.8%
= 2
 
2.2%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 697
62.2%
Common 232
 
20.7%
Latin 191
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 42
 
6.0%
카 28
 
4.0%
페 28
 
4.0%
장 24
 
3.4%
관 21
 
3.0%
품 21
 
3.0%
대 19
 
2.7%
화 17
 
2.4%
점 16
 
2.3%
수 15
 
2.2%
Other values (131) 466
66.9%
Latin
ValueCountFrequency (%)
t 17
 
8.9%
w 12
 
6.3%
a 11
 
5.8%
o 11
 
5.8%
u 11
 
5.8%
i 10
 
5.2%
n 10
 
5.2%
h 10
 
5.2%
c 10
 
5.2%
r 8
 
4.2%
Other values (21) 81
42.4%
Common
ValueCountFrequency (%)
+ 89
38.4%
35
 
15.1%
/ 16
 
6.9%
( 15
 
6.5%
) 15
 
6.5%
. 14
 
6.0%
, 11
 
4.7%
: 7
 
3.0%
2 6
 
2.6%
0 6
 
2.6%
Other values (8) 18
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 697
62.2%
ASCII 423
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 89
21.0%
35
 
8.3%
t 17
 
4.0%
/ 16
 
3.8%
( 15
 
3.5%
) 15
 
3.5%
. 14
 
3.3%
w 12
 
2.8%
a 11
 
2.6%
, 11
 
2.6%
Other values (39) 188
44.4%
Hangul
ValueCountFrequency (%)
실 42
 
6.0%
카 28
 
4.0%
페 28
 
4.0%
장 24
 
3.4%
관 21
 
3.0%
품 21
 
3.0%
대 19
 
2.7%
화 17
 
2.4%
점 16
 
2.3%
수 15
 
2.2%
Other values (131) 466
66.9%

평일관람시작시각
Date

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 13:30:00
2024-05-10T20:23:28.915233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:23:29.284186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

평일관람종료시각
Date

Distinct13
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 22:00:00
2024-05-10T20:23:29.632778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:23:30.013517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

공휴일관람시작시각
Date

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 13:00:00
2024-05-10T20:23:30.379935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:23:30.729059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

공휴일관람종료시각
Date

Distinct12
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:00:00
2024-05-10T20:23:30.977531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:23:31.270309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴관정보
Text

Distinct180
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:31.678245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length18.144118
Min length1

Characters and Unicode

Total characters6169
Distinct characters142
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

Unique143 ?
Unique (%)42.1%

Sample

1st row월+1월1일+설 및 추석
2nd row월(월요일 휴일일경우 그 다음 첫 평일 휴관)+설 및 추석 당일
3rd row월(단, 월요일이 공휴일인 경우 당일은 개관하고 그 다음 첫번째 평일에 휴관)
4th row월
5th row월+1월1일+설날 당일+추석 당일
ValueCountFrequency (%)
경우 60
 
4.8%
공휴일인 59
 
4.7%
당일 54
 
4.3%
그 44
 
3.5%
월 42
 
3.4%
월요일이 42
 
3.4%
월(단 39
 
3.1%
매주 35
 
2.8%
및 33
 
2.7%
당일은 33
 
2.7%
Other values (260) 802
64.5%
2024-05-10T20:23:32.703517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903
 
14.6%
일 631
 
10.2%
+ 521
 
8.4%
월 504
 
8.2%
휴 334
 
5.4%
1 279
 
4.5%
추 178
 
2.9%
석 178
 
2.9%
설 174
 
2.8%
요 158
 
2.6%
Other values (132) 2309
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4119
66.8%
Space Separator 903
 
14.6%
Math Symbol 530
 
8.6%
Decimal Number 336
 
5.4%
Other Punctuation 107
 
1.7%
Close Punctuation 85
 
1.4%
Open Punctuation 85
 
1.4%
Dash Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 631
15.3%
월 504
 
12.2%
휴 334
 
8.1%
추 178
 
4.3%
석 178
 
4.3%
설 174
 
4.2%
요 158
 
3.8%
당 156
 
3.8%
연 150
 
3.6%
관 120
 
2.9%
Other values (110) 1536
37.3%
Decimal Number
ValueCountFrequency (%)
1 279
83.0%
2 21
 
6.2%
0 10
 
3.0%
5 9
 
2.7%
3 6
 
1.8%
6 4
 
1.2%
4 3
 
0.9%
9 2
 
0.6%
8 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 88
82.2%
. 7
 
6.5%
· 5
 
4.7%
: 4
 
3.7%
/ 3
 
2.8%
Math Symbol
ValueCountFrequency (%)
+ 521
98.3%
~ 9
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4119
66.8%
Common 2048
33.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 631
15.3%
월 504
 
12.2%
휴 334
 
8.1%
추 178
 
4.3%
석 178
 
4.3%
설 174
 
4.2%
요 158
 
3.8%
당 156
 
3.8%
연 150
 
3.6%
관 120
 
2.9%
Other values (110) 1536
37.3%
Common
ValueCountFrequency (%)
903
44.1%
+ 521
25.4%
1 279
 
13.6%
, 88
 
4.3%
) 85
 
4.2%
( 85
 
4.2%
2 21
 
1.0%
0 10
 
0.5%
~ 9
 
0.4%
5 9
 
0.4%
Other values (10) 38
 
1.9%
Latin
ValueCountFrequency (%)
H 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4119
66.8%
ASCII 2045
33.1%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903
44.2%
+ 521
25.5%
1 279
 
13.6%
, 88
 
4.3%
) 85
 
4.2%
( 85
 
4.2%
2 21
 
1.0%
0 10
 
0.5%
~ 9
 
0.4%
5 9
 
0.4%
Other values (11) 35
 
1.7%
Hangul
ValueCountFrequency (%)
일 631
15.3%
월 504
 
12.2%
휴 334
 
8.1%
추 178
 
4.3%
석 178
 
4.3%
설 174
 
4.2%
요 158
 
3.8%
당 156
 
3.8%
연 150
 
3.6%
관 120
 
2.9%
Other values (110) 1536
37.3%
None
ValueCountFrequency (%)
· 5
100.0%

어른관람료
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2788.2353
Minimum0
Maximum22000
Zeros148
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-10T20:23:33.060351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2000
Q35000
95-th percentile9000
Maximum22000
Range22000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation3278.9455
Coefficient of variation (CV)1.1759931
Kurtosis4.1392123
Mean2788.2353
Median Absolute Deviation (MAD)2000
Skewness1.5340469
Sum948000
Variance10751484
MonotonicityNot monotonic
2024-05-10T20:23:33.411405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 148
43.5%
5000 49
 
14.4%
3000 30
 
8.8%
2000 29
 
8.5%
4000 21
 
6.2%
6000 15
 
4.4%
10000 13
 
3.8%
7000 12
 
3.5%
9000 7
 
2.1%
1000 6
 
1.8%
Other values (7) 10
 
2.9%
ValueCountFrequency (%)
0 148
43.5%
500 1
 
0.3%
1000 6
 
1.8%
2000 29
 
8.5%
3000 30
 
8.8%
4000 21
 
6.2%
5000 49
 
14.4%
5500 1
 
0.3%
6000 15
 
4.4%
6500 2
 
0.6%
ValueCountFrequency (%)
22000 1
 
0.3%
18000 1
 
0.3%
15000 1
 
0.3%
10000 13
3.8%
9000 7
2.1%
8000 3
 
0.9%
7000 12
3.5%
6500 2
 
0.6%
6000 15
4.4%
5500 1
 
0.3%

청소년관람료
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2081.1765
Minimum0
Maximum19000
Zeros153
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-10T20:23:33.838205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1000
Q34000
95-th percentile7050
Maximum19000
Range19000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation2672.199
Coefficient of variation (CV)1.2839848
Kurtosis5.6594211
Mean2081.1765
Median Absolute Deviation (MAD)1000
Skewness1.8265766
Sum707600
Variance7140647.6
MonotonicityNot monotonic
2024-05-10T20:23:34.542595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 153
45.0%
4000 35
 
10.3%
3000 29
 
8.5%
5000 25
 
7.4%
1000 20
 
5.9%
2000 19
 
5.6%
1500 11
 
3.2%
6000 11
 
3.2%
9000 9
 
2.6%
2500 8
 
2.4%
Other values (10) 20
 
5.9%
ValueCountFrequency (%)
0 153
45.0%
500 3
 
0.9%
600 1
 
0.3%
700 1
 
0.3%
800 2
 
0.6%
1000 20
 
5.9%
1200 1
 
0.3%
1500 11
 
3.2%
2000 19
 
5.6%
2500 8
 
2.4%
ValueCountFrequency (%)
19000 1
 
0.3%
15000 1
 
0.3%
9000 9
 
2.6%
8000 6
 
1.8%
7000 3
 
0.9%
6000 11
 
3.2%
5500 1
 
0.3%
5000 25
7.4%
4000 35
10.3%
3000 29
8.5%

어린이관람료
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1800.5882
Minimum0
Maximum17000
Zeros164
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-10T20:23:34.910609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median500
Q33000
95-th percentile6000
Maximum17000
Range17000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation2432.8382
Coefficient of variation (CV)1.3511352
Kurtosis5.3796986
Mean1800.5882
Median Absolute Deviation (MAD)500
Skewness1.8512546
Sum612200
Variance5918701.7
MonotonicityNot monotonic
2024-05-10T20:23:35.290470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 164
48.2%
3000 37
 
10.9%
2000 25
 
7.4%
5000 23
 
6.8%
4000 23
 
6.8%
1000 20
 
5.9%
6000 9
 
2.6%
8000 8
 
2.4%
2500 7
 
2.1%
500 7
 
2.1%
Other values (9) 17
 
5.0%
ValueCountFrequency (%)
0 164
48.2%
500 7
 
2.1%
600 3
 
0.9%
700 1
 
0.3%
1000 20
 
5.9%
1200 1
 
0.3%
1500 4
 
1.2%
2000 25
 
7.4%
2500 7
 
2.1%
3000 37
 
10.9%
ValueCountFrequency (%)
17000 1
 
0.3%
13000 1
 
0.3%
9000 3
 
0.9%
8000 8
 
2.4%
7000 2
 
0.6%
6000 9
 
2.6%
5000 23
6.8%
4500 1
 
0.3%
4000 23
6.8%
3000 37
10.9%

관람료기타정보
Text

MISSING 

Distinct118
Distinct (%)74.2%
Missing181
Missing (%)53.2%
Memory size2.8 KiB
2024-05-10T20:23:35.681366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length98
Mean length48.603774
Min length1

Characters and Unicode

Total characters7728
Distinct characters204
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)66.7%

Sample

1st row특별전시입장료-일반(2000)+특별전시입장료-초등학생(1000)+특별전시입장료-청소년(1500)+특별전시입장료-19~25세(2000)
2nd row특별전시입장료-일반(2000)+특별전시입장료-유치원(1000)+특별전시입장료-초등학생(1000)+특별전시입장료-청소년(1500)+특별전시입장료-19~25세(2000)
3rd row만36개월 미만+국민 기초수급생활자 및 자녀+한부모가족+장애인+국가유공자+독립유공자+5.18유공자+특수임무유공자+참전유공자+고엽제 후유증 환자+만65세이상 등
4th row상설전시+24개월 미만+만65세 이상+국가유공자+장애인 등 무료+고양시민 할인 등
5th row특별전시입장료-일반(4000)+특별전시입장료-유치원(4000)+특별전시입장료-초등학생(4000)+특별전시입장료-청소년(4000)+특별전시입장료-19~25세(4000)
ValueCountFrequency (%)
및 23
 
5.3%
무료 22
 
5.0%
0 17
 
3.9%
이상 10
 
2.3%
미만 9
 
2.1%
단체 7
 
1.6%
65세 6
 
1.4%
소지자 5
 
1.1%
노인+[무료]장애인 4
 
0.9%
국가유공자+[무료]양평군민+[무료]그린카드 4
 
0.9%
Other values (263) 329
75.5%
2024-05-10T20:23:36.551924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1050
 
13.6%
+ 365
 
4.7%
료 354
 
4.6%
( 335
 
4.3%
) 335
 
4.3%
장 320
 
4.1%
시 297
 
3.8%
전 291
 
3.8%
입 288
 
3.7%
별 286
 
3.7%
Other values (194) 3807
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4135
53.5%
Decimal Number 1814
23.5%
Math Symbol 431
 
5.6%
Open Punctuation 362
 
4.7%
Close Punctuation 362
 
4.7%
Dash Punctuation 282
 
3.6%
Space Separator 280
 
3.6%
Other Punctuation 46
 
0.6%
Lowercase Letter 12
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 354
 
8.6%
장 320
 
7.7%
시 297
 
7.2%
전 291
 
7.0%
입 288
 
7.0%
별 286
 
6.9%
특 283
 
6.8%
세 111
 
2.7%
인 88
 
2.1%
반 78
 
1.9%
Other values (157) 1739
42.1%
Decimal Number
ValueCountFrequency (%)
0 1050
57.9%
5 180
 
9.9%
2 128
 
7.1%
1 128
 
7.1%
3 86
 
4.7%
9 72
 
4.0%
6 69
 
3.8%
4 62
 
3.4%
7 20
 
1.1%
8 19
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
16.7%
p 2
16.7%
m 2
16.7%
a 2
16.7%
o 1
8.3%
r 1
8.3%
l 1
8.3%
g 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 19
41.3%
· 9
19.6%
/ 7
 
15.2%
; 4
 
8.7%
: 3
 
6.5%
, 2
 
4.3%
& 2
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
M 1
25.0%
C 1
25.0%
I 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 365
84.7%
~ 66
 
15.3%
Open Punctuation
ValueCountFrequency (%)
( 335
92.5%
[ 27
 
7.5%
Close Punctuation
ValueCountFrequency (%)
) 335
92.5%
] 27
 
7.5%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%
Space Separator
ValueCountFrequency (%)
280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4135
53.5%
Common 3577
46.3%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 354
 
8.6%
장 320
 
7.7%
시 297
 
7.2%
전 291
 
7.0%
입 288
 
7.0%
별 286
 
6.9%
특 283
 
6.8%
세 111
 
2.7%
인 88
 
2.1%
반 78
 
1.9%
Other values (157) 1739
42.1%
Common
ValueCountFrequency (%)
0 1050
29.4%
+ 365
 
10.2%
( 335
 
9.4%
) 335
 
9.4%
- 282
 
7.9%
280
 
7.8%
5 180
 
5.0%
2 128
 
3.6%
1 128
 
3.6%
3 86
 
2.4%
Other values (15) 408
 
11.4%
Latin
ValueCountFrequency (%)
t 2
12.5%
p 2
12.5%
m 2
12.5%
a 2
12.5%
O 1
6.2%
M 1
6.2%
C 1
6.2%
I 1
6.2%
o 1
6.2%
r 1
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4135
53.5%
ASCII 3584
46.4%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1050
29.3%
+ 365
 
10.2%
( 335
 
9.3%
) 335
 
9.3%
- 282
 
7.9%
280
 
7.8%
5 180
 
5.0%
2 128
 
3.6%
1 128
 
3.6%
3 86
 
2.4%
Other values (26) 415
 
11.6%
Hangul
ValueCountFrequency (%)
료 354
 
8.6%
장 320
 
7.7%
시 297
 
7.2%
전 291
 
7.0%
입 288
 
7.0%
별 286
 
6.9%
특 283
 
6.8%
세 111
 
2.7%
인 88
 
2.1%
반 78
 
1.9%
Other values (157) 1739
42.1%
None
ValueCountFrequency (%)
· 9
100.0%

박물관미술관소개
Text

MISSING 

Distinct105
Distinct (%)97.2%
Missing232
Missing (%)68.2%
Memory size2.8 KiB
2024-05-10T20:23:37.251861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length79
Mean length54.472222
Min length2

Characters and Unicode

Total characters5883
Distinct characters453
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)95.4%

Sample

1st row다양한 놀이와 체험을 통해 꿈과 미래를 만나는 어린이박물관
2nd row고양시 최대 규모 미술전시관
3rd row인류 농경문화의 기원이 되는 재배볍씨가 전시되어 있는 곳
4th row의왕시의 역사와 문화를 보존 관리하는 기관
5th row철도역사가 살아 숨쉬는 철도문화의 전당
ValueCountFrequency (%)
있는 20
 
1.6%
수 17
 
1.3%
통해 15
 
1.2%
전시 11
 
0.9%
다양한 11
 
0.9%
등 9
 
0.7%
및 9
 
0.7%
위해 9
 
0.7%
개관 8
 
0.6%
공간 7
 
0.6%
Other values (938) 1154
90.9%
2024-05-10T20:23:38.657833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1164
 
19.8%
의 122
 
2.1%
관 116
 
2.0%
시 91
 
1.5%
이 90
 
1.5%
한 84
 
1.4%
전 83
 
1.4%
을 83
 
1.4%
화 76
 
1.3%
하 70
 
1.2%
Other values (443) 3904
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4354
74.0%
Space Separator 1164
 
19.8%
Decimal Number 168
 
2.9%
Other Punctuation 124
 
2.1%
Math Symbol 24
 
0.4%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Lowercase Letter 8
 
0.1%
Uppercase Letter 7
 
0.1%
Dash Punctuation 4
 
0.1%
Other values (2) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 122
 
2.8%
관 116
 
2.7%
시 91
 
2.1%
이 90
 
2.1%
한 84
 
1.9%
전 83
 
1.9%
을 83
 
1.9%
화 76
 
1.7%
하 70
 
1.6%
문 70
 
1.6%
Other values (406) 3469
79.7%
Decimal Number
ValueCountFrequency (%)
1 43
25.6%
0 40
23.8%
2 40
23.8%
3 10
 
6.0%
4 7
 
4.2%
9 7
 
4.2%
6 6
 
3.6%
7 6
 
3.6%
8 5
 
3.0%
5 4
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
n 2
25.0%
r 1
12.5%
e 1
12.5%
i 1
12.5%
g 1
12.5%
d 1
12.5%
a 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
14.3%
U 1
14.3%
N 1
14.3%
D 1
14.3%
I 1
14.3%
M 1
14.3%
A 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 58
46.8%
, 53
42.7%
· 13
 
10.5%
Math Symbol
ValueCountFrequency (%)
+ 23
95.8%
~ 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4354
74.0%
Common 1514
 
25.7%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 122
 
2.8%
관 116
 
2.7%
시 91
 
2.1%
이 90
 
2.1%
한 84
 
1.9%
전 83
 
1.9%
을 83
 
1.9%
화 76
 
1.7%
하 70
 
1.6%
문 70
 
1.6%
Other values (406) 3469
79.7%
Common
ValueCountFrequency (%)
1164
76.9%
. 58
 
3.8%
, 53
 
3.5%
1 43
 
2.8%
0 40
 
2.6%
2 40
 
2.6%
+ 23
 
1.5%
· 13
 
0.9%
( 11
 
0.7%
) 11
 
0.7%
Other values (13) 58
 
3.8%
Latin
ValueCountFrequency (%)
n 2
13.3%
r 1
 
6.7%
e 1
 
6.7%
i 1
 
6.7%
g 1
 
6.7%
d 1
 
6.7%
a 1
 
6.7%
G 1
 
6.7%
U 1
 
6.7%
N 1
 
6.7%
Other values (4) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4354
74.0%
ASCII 1510
 
25.7%
None 13
 
0.2%
Punctuation 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1164
77.1%
. 58
 
3.8%
, 53
 
3.5%
1 43
 
2.8%
0 40
 
2.6%
2 40
 
2.6%
+ 23
 
1.5%
( 11
 
0.7%
) 11
 
0.7%
3 10
 
0.7%
Other values (24) 57
 
3.8%
Hangul
ValueCountFrequency (%)
의 122
 
2.8%
관 116
 
2.7%
시 91
 
2.1%
이 90
 
2.1%
한 84
 
1.9%
전 83
 
1.9%
을 83
 
1.9%
화 76
 
1.7%
하 70
 
1.6%
문 70
 
1.6%
Other values (406) 3469
79.7%
None
ValueCountFrequency (%)
· 13
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
50.0%
’ 3
50.0%

교통안내정보
Text

MISSING 

Distinct85
Distinct (%)96.6%
Missing252
Missing (%)74.1%
Memory size2.8 KiB
2024-05-10T20:23:39.251676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length682
Median length84.5
Mean length67.534091
Min length8

Characters and Unicode

Total characters5943
Distinct characters325
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)93.2%

Sample

1st row지하철 3호선 화정역 2번출구
2nd row지하철 3호선 정발산역 3번출구
3rd row지하철 3호선 원흥역 4번 출구
4th row버스(1-1+1-2+52-1)
5th row버스(1-1+1-2+52-2)+지하철 1호선 의왕역
ValueCountFrequency (%)
55
 
5.5%
→ 49
 
4.9%
하차 33
 
3.3%
버스 23
 
2.3%
지하철 21
 
2.1%
도보 16
 
1.6%
후 16
 
1.6%
우회전 14
 
1.4%
좌회전 11
 
1.1%
이용 11
 
1.1%
Other values (542) 751
75.1%
2024-05-10T20:23:40.541038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
15.4%
0 212
 
3.6%
1 211
 
3.6%
- 152
 
2.6%
2 148
 
2.5%
+ 148
 
2.5%
3 136
 
2.3%
5 98
 
1.6%
/ 94
 
1.6%
, 89
 
1.5%
Other values (315) 3737
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2690
45.3%
Decimal Number 1115
18.8%
Space Separator 918
 
15.4%
Other Punctuation 289
 
4.9%
Lowercase Letter 276
 
4.6%
Math Symbol 243
 
4.1%
Dash Punctuation 152
 
2.6%
Open Punctuation 90
 
1.5%
Close Punctuation 90
 
1.5%
Uppercase Letter 74
 
1.2%
Other values (3) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 80
 
3.0%
버 77
 
2.9%
번 75
 
2.8%
하 73
 
2.7%
도 69
 
2.6%
역 60
 
2.2%
방 55
 
2.0%
차 54
 
2.0%
로 53
 
2.0%
전 51
 
1.9%
Other values (250) 2043
75.9%
Lowercase Letter
ValueCountFrequency (%)
m 42
15.2%
t 31
11.2%
a 22
 
8.0%
p 19
 
6.9%
k 17
 
6.2%
g 16
 
5.8%
w 15
 
5.4%
h 14
 
5.1%
c 14
 
5.1%
o 14
 
5.1%
Other values (10) 72
26.1%
Uppercase Letter
ValueCountFrequency (%)
C 26
35.1%
I 25
33.8%
M 6
 
8.1%
K 4
 
5.4%
A 3
 
4.1%
T 2
 
2.7%
J 2
 
2.7%
W 1
 
1.4%
P 1
 
1.4%
H 1
 
1.4%
Other values (3) 3
 
4.1%
Decimal Number
ValueCountFrequency (%)
0 212
19.0%
1 211
18.9%
2 148
13.3%
3 136
12.2%
5 98
8.8%
7 84
 
7.5%
4 68
 
6.1%
6 68
 
6.1%
8 45
 
4.0%
9 45
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 94
32.5%
, 89
30.8%
: 38
13.1%
. 33
 
11.4%
; 18
 
6.2%
& 9
 
3.1%
? 4
 
1.4%
· 4
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 148
60.9%
→ 87
35.8%
= 4
 
1.6%
↔ 2
 
0.8%
~ 2
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 87
96.7%
[ 3
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 87
96.7%
] 3
 
3.3%
Space Separator
ValueCountFrequency (%)
918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2903
48.8%
Hangul 2689
45.2%
Latin 350
 
5.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 80
 
3.0%
버 77
 
2.9%
번 75
 
2.8%
하 73
 
2.7%
도 69
 
2.6%
역 60
 
2.2%
방 55
 
2.0%
차 54
 
2.0%
로 53
 
2.0%
전 51
 
1.9%
Other values (249) 2042
75.9%
Latin
ValueCountFrequency (%)
m 42
 
12.0%
t 31
 
8.9%
C 26
 
7.4%
I 25
 
7.1%
a 22
 
6.3%
p 19
 
5.4%
k 17
 
4.9%
g 16
 
4.6%
w 15
 
4.3%
h 14
 
4.0%
Other values (23) 123
35.1%
Common
ValueCountFrequency (%)
918
31.6%
0 212
 
7.3%
1 211
 
7.3%
- 152
 
5.2%
2 148
 
5.1%
+ 148
 
5.1%
3 136
 
4.7%
5 98
 
3.4%
/ 94
 
3.2%
, 89
 
3.1%
Other values (22) 697
24.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3156
53.1%
Hangul 2682
45.1%
Arrows 89
 
1.5%
Compat Jamo 7
 
0.1%
None 4
 
0.1%
Punctuation 4
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
29.1%
0 212
 
6.7%
1 211
 
6.7%
- 152
 
4.8%
2 148
 
4.7%
+ 148
 
4.7%
3 136
 
4.3%
5 98
 
3.1%
/ 94
 
3.0%
, 89
 
2.8%
Other values (50) 950
30.1%
Arrows
ValueCountFrequency (%)
→ 87
97.8%
↔ 2
 
2.2%
Hangul
ValueCountFrequency (%)
스 80
 
3.0%
버 77
 
2.9%
번 75
 
2.8%
하 73
 
2.7%
도 69
 
2.6%
역 60
 
2.2%
방 55
 
2.1%
차 54
 
2.0%
로 53
 
2.0%
전 51
 
1.9%
Other values (248) 2035
75.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
’ 2
50.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

관리기관전화번호
Text

Distinct230
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:41.218929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052941
Min length9

Characters and Unicode

Total characters4098
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

Unique158 ?
Unique (%)46.5%

Sample

1st row031-678-2507
2nd row031-687-0909
3rd row031-8082-5655
4th row031-887-3583
5th row031-887-3547
ValueCountFrequency (%)
031-940-4355 17
 
5.0%
031-481-3034 9
 
2.6%
031-590-2478 9
 
2.6%
031-231-7200 6
 
1.8%
032-320-6300 3
 
0.9%
02-898-0505 3
 
0.9%
032-625-3132 3
 
0.9%
031-310-6703 3
 
0.9%
031-8045-2062 3
 
0.9%
031-989-8580 2
 
0.6%
Other values (220) 282
82.9%
2024-05-10T20:23:42.400643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 701
17.1%
- 678
16.5%
3 576
14.1%
1 494
12.1%
8 274
 
6.7%
2 272
 
6.6%
7 252
 
6.1%
5 247
 
6.0%
4 231
 
5.6%
6 194
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3420
83.5%
Dash Punctuation 678
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 701
20.5%
3 576
16.8%
1 494
14.4%
8 274
 
8.0%
2 272
 
8.0%
7 252
 
7.4%
5 247
 
7.2%
4 231
 
6.8%
6 194
 
5.7%
9 179
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4098
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 701
17.1%
- 678
16.5%
3 576
14.1%
1 494
12.1%
8 274
 
6.7%
2 272
 
6.6%
7 252
 
6.1%
5 247
 
6.0%
4 231
 
5.6%
6 194
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 701
17.1%
- 678
16.5%
3 576
14.1%
1 494
12.1%
8 274
 
6.7%
2 272
 
6.6%
7 252
 
6.1%
5 247
 
6.0%
4 231
 
5.6%
6 194
 
4.7%

관리기관명
Text

Distinct222
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-10T20:23:42.986005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.1676471
Min length3

Characters and Unicode

Total characters2777
Distinct characters270
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)50.3%

Sample

1st row경기도 안성시
2nd row(재)안양문화예술재단
3rd row경기도 양주시 양주시청
4th row여주박물관
5th row여주시립폰박물관
ValueCountFrequency (%)
경기도 106
 
21.1%
파주시청 17
 
3.4%
문화예술과 15
 
3.0%
여주시청 11
 
2.2%
재)경기문화재단 10
 
2.0%
안산시청 10
 
2.0%
남양주시청 10
 
2.0%
안성시 7
 
1.4%
부천시청 7
 
1.4%
양평군청 6
 
1.2%
Other values (238) 304
60.4%
2024-05-10T20:23:43.949551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
5.9%
기 132
 
4.8%
관 131
 
4.7%
시 124
 
4.5%
경 120
 
4.3%
도 118
 
4.2%
청 87
 
3.1%
재 80
 
2.9%
술 78
 
2.8%
화 78
 
2.8%
Other values (260) 1666
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2519
90.7%
Space Separator 163
 
5.9%
Close Punctuation 32
 
1.2%
Open Punctuation 31
 
1.1%
Uppercase Letter 24
 
0.9%
Other Symbol 4
 
0.1%
Decimal Number 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 132
 
5.2%
관 131
 
5.2%
시 124
 
4.9%
경 120
 
4.8%
도 118
 
4.7%
청 87
 
3.5%
재 80
 
3.2%
술 78
 
3.1%
화 78
 
3.1%
물 71
 
2.8%
Other values (240) 1500
59.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.8%
A 4
16.7%
M 3
12.5%
I 2
 
8.3%
U 2
 
8.3%
K 2
 
8.3%
E 1
 
4.2%
S 1
 
4.2%
R 1
 
4.2%
O 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
2 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2523
90.9%
Common 230
 
8.3%
Latin 24
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 132
 
5.2%
관 131
 
5.2%
시 124
 
4.9%
경 120
 
4.8%
도 118
 
4.7%
청 87
 
3.4%
재 80
 
3.2%
술 78
 
3.1%
화 78
 
3.1%
물 71
 
2.8%
Other values (241) 1504
59.6%
Latin
ValueCountFrequency (%)
C 5
20.8%
A 4
16.7%
M 3
12.5%
I 2
 
8.3%
U 2
 
8.3%
K 2
 
8.3%
E 1
 
4.2%
S 1
 
4.2%
R 1
 
4.2%
O 1
 
4.2%
Other values (2) 2
 
8.3%
Common
ValueCountFrequency (%)
163
70.9%
) 32
 
13.9%
( 31
 
13.5%
6 1
 
0.4%
. 1
 
0.4%
2 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2519
90.7%
ASCII 254
 
9.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
64.2%
) 32
 
12.6%
( 31
 
12.2%
C 5
 
2.0%
A 4
 
1.6%
M 3
 
1.2%
I 2
 
0.8%
U 2
 
0.8%
K 2
 
0.8%
6 1
 
0.4%
Other values (9) 9
 
3.5%
Hangul
ValueCountFrequency (%)
기 132
 
5.2%
관 131
 
5.2%
시 124
 
4.9%
경 120
 
4.8%
도 118
 
4.7%
청 87
 
3.5%
재 80
 
3.2%
술 78
 
3.1%
화 78
 
3.1%
물 71
 
2.8%
Other values (240) 1500
59.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

데이터기준일자
Date

Distinct30
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2022-10-12 00:00:00
Maximum2024-02-08 00:00:00
2024-05-10T20:23:44.321085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:23:44.800172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

Sample

시군명시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
0안성시안성맞춤박물관공립경기도 안성시 대덕면 서동대로 4726-15경기도 안성시 대덕면 내리 399-5번지37.011318127.228356031-678-2507경기도 안성시<NA><NA>09:0018:0009:0018:00월+1월1일+설 및 추석000<NA><NA><NA>031-678-2507경기도 안성시2023-10-10
1안양시안양박물관공립경기도 안양시 만안구 예술공원로103번길 4경기도 안양시 만안구 석수동 214번지37.418386126.918315031-687-0909(재)안양문화예술재단<NA><NA>09:0018:0009:0018:00월(월요일 휴일일경우 그 다음 첫 평일 휴관)+설 및 추석 당일000<NA><NA><NA>031-687-0909(재)안양문화예술재단2023-10-10
2양주시양주시립회암사지박물관공립경기도 양주시 회암사길 11경기도 양주시 율정동 299-1번지37.841204127.102981031-8082-5655경기도 양주시 양주시청<NA><NA>09:0017:0009:0017:00월(단, 월요일이 공휴일인 경우 당일은 개관하고 그 다음 첫번째 평일에 휴관)200015001000특별전시입장료-일반(2000)+특별전시입장료-초등학생(1000)+특별전시입장료-청소년(1500)+특별전시입장료-19~25세(2000)<NA><NA>031-8082-5655경기도 양주시 양주시청2023-10-10
3여주시여주박물관공립경기도 여주시 신륵사길 6-12경기도 여주시 천송동 588-6번지37.299653127.653379031-887-3583여주박물관<NA><NA>09:0018:0009:0018:00월000<NA><NA><NA>031-887-3583여주박물관2023-10-10
4여주시여주시립폰박물관공립경기도 여주시 강변유원지길 105경기도 여주시 연양동 304-8번지37.293062127.666904031-887-3547여주시립폰박물관<NA><NA>09:0018:0009:0018:00월+1월1일+설날 당일+추석 당일300025002000<NA><NA><NA>031-887-3547여주시립폰박물관2023-10-10
5용인시용인시박물관공립경기도 용인시 기흥구 동백3로 79경기도 용인시 기흥구 중동 862번지37.273897127.157171031-324-4796경기도 용인시<NA><NA>09:0018:0009:0018:00월+1월1일+설 및 추석000<NA><NA><NA>031-324-4796경기도 용인시2023-10-10
6안양시김중업건축박물관공립경기도 안양시 만안구 예술공원로103번길 4경기도 안양시 만안구 석수동 214번지37.418386126.918315031-687-0909(재)안양문화예술재단<NA><NA>09:0018:0009:0018:00월(월요일 휴일일경우 그 다음 첫 평일 휴관)+설 당일+추석 당일000<NA><NA><NA>031-687-0909(재)안양문화예술재단2023-10-10
7남양주시남양주시립박물관공립경기도 남양주시 와부읍 팔당로 121경기도 남양주시 와부읍 팔당리 237-3번지37.546386127.244374031-590-8600경기도 남양주시<NA><NA>10:0018:0010:0018:00월+1월1일+설 당일+추석 당일000<NA><NA><NA>031-590-8600경기도 남양주시2023-10-10
8여주시명성황후기념관공립경기도 여주시 명성로 71경기도 여주시 능현동 250-3번지37.259675127.655428031-881-9730여주세종문화재단<NA><NA>09:0017:0009:0017:00월+설 당일+추석 당일+기타 관이 정하는 날000<NA><NA><NA>031-881-9730여주세종문화재단2023-10-10
9부천시부천시립박물관공립경기도 부천시 소사로 638경기도 부천시 오정구 여월동 318번지37.513641126.801745032-320-6300(재)부천문화재단<NA><NA>09:0018:0009:0018:00월+1월1일+설 당일+추석 당일+법정공휴일 다음날200012001200<NA><NA><NA>032-320-6300(재)부천문화재단2023-10-10
시군명시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
330용인시마가미술관사립경기도 용인시 처인구 모현읍 문형동림로101번길 37경기도 용인시 처인구 모현읍 동림리 263번지37.331752127.192728031-334-0365마가미술관<NA><NA>10:0017:3010:0017:30일+월+1월1일+설 및 추석400030002500특별전시입장료-일반(4000)+특별전시입장료-유치원(2500)+특별전시입장료-초등학생(2500)+특별전시입장료-청소년(3000)+특별전시입장료-19~25세(4000)<NA><NA>031-334-0365마가미술관2023-10-10
331파주시아트센터화이트블럭사립경기도 파주시 탄현면 헤이리마을길 72경기도 파주시 탄현면 법흥리 1652-23737.788894126.699402031-992-4400아트센터화이트블럭whiteblock.org<NA>10:3018:3010:3019:00월200020002000<NA>현대전시<NA>031-940-4355경기도 파주시청2023-05-15
332파주시파주나비나라박물관사립경기도 파주시 광인사길 161경기도 파주시 문발동 500-837.714857126.686912031-955-3727파주나비나라박물관www.nabynara.com<NA>10:0018:0010:0018:00월400050005000<NA>곤충 표본 및 관련미술품<NA>031-940-4355경기도 파주시청2023-05-15
333파주시세계민속악기박물관사립경기도 파주시 탄현면 헤이리마을길 63-26경기도 파주시 탄현면 법흥리 1652-21337.789508126.699359031-946-9838세계민속악기박물관www.e-musictour.com<NA>09:3017:3009:3017:30월500040004000<NA>민속악기 및 민속품<NA>031-940-4355경기도 파주시청2023-05-15
334안성시안성3.1운동기념관공립경기도 안성시 원곡면 만세로 868경기도 안성시 원곡면 칠곡리 2-18번지37.062785127.175295031-678-2500경기도 안성시http://www.anseong.go.kr/tourPortal/41.main.do<NA>09:0018:0009:0018:00월요일+월요일이 휴일인 경우 다음날 휴관+1월 1일+설날 당일+추석 당일000<NA>3.1운동의 전국 3대 실력 항쟁지 중 한 곳으로 가장 극렬하게 만세항쟁을 펼쳐 일제를 몰아내고 2일 간의 해방을 이뤄냈던 4.1만세 항쟁의 집결지였던 만세고개 일원을 성역화하여 선열들의 숭고한 자주독립 정신을 발전시키고 후세들에게 나라사랑의 산 교육장으로 활용하기 위해 건립하였다.자가용이용 평택제천고속도로 서안성IC - 45번 국도 안성방면 - 만세고개 좌회전 - 좌회전 직진 후 왼쪽 주차장 진입대중교통 이용 평택터미널에서 8번(안성 양성터미널행) 안성터미널에서 7번(원곡면사무소 행) 공도버스터미널에서 7-6번(원곡지방산단 행) 안성터미널 - 양성터미널 - 기념관 : 60, 60-3, 22-1, 7-2 - (환승) - 8, 7-6, 7 용인터미널에서 22-1번 승차, 양성터미널 하차 환승031-678-2476경기도 안성시2023-11-02
335용인시마가미술관사립경기도 용인시 처인구 모현읍 문형동림로101번길 37경기도 용인시 처인구 모현읍 동림리 26337.331711127.192788031-334-0365마가미술관http://www.magamuseum.co.kr/<NA>10:0018:0010:0018:00매주 월요일,설연휴,추석연휴4000300025002500<NA><NA>031-334-0365마가미술관2023-11-30
336의정부시백영수미술관사립경기도 의정부시 안말로58번안길 55-1경기도 의정부시 호원동 260-1337.713694127.044439031-873-4613재단법인 백영수미술문화재단http://blog.naver.com/pysmuseum남/녀 화장실10:0018:0010:0018:00월+1월1일+설연휴+추석연휴500030002000의정부시민 4000원+군인 3000원+4세 미만 무료비영리재단법인 백영수미술문화재단 산하 (재)백영수미술관은 사회 환원된 공익기관으로서 1970년대부터 소유한 의정부백영수작업실 터에 설립된 의정부 1호 등록미술관임. 한국최초의 추상미술그룹인 신사실파 중 1인으로 35년간의 프랑스에서의 작품 등, 화가백영수(1922~2018)의 일생을 통해 남긴 미술작품들을 기념, 보존, 연구하며 미술문화 전시, 교육사업 등 지역 문화발전과 한국미술문화진흥에 이바지함을 목적으로 함.· 지하철 - 1호선 망월사역 2번 출구로 나와 도보 566m(9분 소요)· 버스 - ‘안말, 병무청, 호원예비군훈련장앞’ 정류장 하차 후 도보 432m(6분 소요)(5, 7, 10, 36, 39, 39-1, 39-4, 72, 72-3, 118, 133, 106, 108, 203, 203-1, 203-2A, 206-1)· 승용차 [도봉산역 방면에서 오실 경우]평화로-평화로 243번길 새마을금고방향 좌회전 161m 직진 → 안말어린이집에서 우회전 92m직진 [회룡역 방면에서 오실 경우]평화로-평화로 243번길 새마을금고 방향 우회전 161m 직진 → 안말어린이집에서 우회전 92m직진031-873-4613재단법인 백영수미술문화재단2023-03-02
337용인시경희대학교혜정박물관사립경기도 용인시 기흥구 덕영대로 1732경기도 용인시 기흥구 서천동 137.2398127.081199031-201-2014경희대http://oldmaps.khu.ac.kr<NA>10:0018:0010:0018:00매주 월요일,설연휴,추석연휴0000<NA><NA>031-201-2014경희대2023-11-30
338용인시경기도어린이박물관공립경기도 용인시 기흥구 상갈로 6경기도 용인시 기흥구 상갈동 49637.26817127.108851031-270-8636(재)경기문화재단http://gcm.ggcf.kr/<NA>10:0018:0010:0018:00매주 월요일,설연휴,추석연휴4000400040002000<NA><NA>031-270-8636(재)경기문화재단2023-11-30
339하남시일가기념관공립경기도 하남시 미사강변남로 10경기도 하남시 풍산동 168-337.558619127.183324031-5182-1112경기도 하남시청https://www.hanam.go.kr/www/contents.do?key=6986<NA>10:0017:0000:0000:00일요일 + 법정 공휴일000<NA><NA><NA>031-790-6063경기도 하남시청2023-07-06