Overview

Dataset statistics

Number of variables26
Number of observations2300
Missing cells9759
Missing cells (%)16.3%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory478.5 KiB
Average record size in memory213.1 B

Variable types

Text15
Categorical5
Numeric5
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15017323/standard.do

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
평일관람시작시각 is highly imbalanced (56.0%)Imbalance
평일관람종료시각 is highly imbalanced (57.7%)Imbalance
공휴일관람종료시각 is highly imbalanced (54.9%)Imbalance
소재지지번주소 has 1480 (64.3%) missing valuesMissing
운영홈페이지 has 1420 (61.7%) missing valuesMissing
편의시설정보 has 1845 (80.2%) missing valuesMissing
관람료기타정보 has 1514 (65.8%) missing valuesMissing
박물관미술관소개 has 1662 (72.3%) missing valuesMissing
교통안내정보 has 1835 (79.8%) missing valuesMissing
어른관람료 has 1393 (60.6%) zerosZeros
청소년관람료 has 1415 (61.5%) zerosZeros
어린이관람료 has 1471 (64.0%) zerosZeros

Reproduction

Analysis started2024-05-11 07:46:49.927175
Analysis finished2024-05-11 07:46:54.462661
Duration4.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct1497
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:46:54.747644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.9747826
Min length2

Characters and Unicode

Total characters18342
Distinct characters534
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)35.1%

Sample

1st row수다라성보박물관
2nd row우리삶문화옥당박물관
3rd row대청댐물문화관
4th row옛터민속박물관
5th row충남대학교 박물관
ValueCountFrequency (%)
박물관 52
 
1.9%
미술관 20
 
0.7%
역사박물관 10
 
0.4%
전시관 9
 
0.3%
자연사박물관 9
 
0.3%
중앙박물관 6
 
0.2%
성보박물관 6
 
0.2%
화폐박물관 5
 
0.2%
아트센터 5
 
0.2%
제주 5
 
0.2%
Other values (1628) 2560
95.3%
2024-05-11T16:46:55.748611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 2207
 
12.0%
물 1337
 
7.3%
박 1318
 
7.2%
미 560
 
3.1%
술 558
 
3.0%
411
 
2.2%
대 351
 
1.9%
사 314
 
1.7%
교 291
 
1.6%
학 286
 
1.6%
Other values (524) 10709
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17537
95.6%
Space Separator 411
 
2.2%
Uppercase Letter 152
 
0.8%
Decimal Number 70
 
0.4%
Open Punctuation 67
 
0.4%
Close Punctuation 67
 
0.4%
Other Punctuation 24
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2207
 
12.6%
물 1337
 
7.6%
박 1318
 
7.5%
미 560
 
3.2%
술 558
 
3.2%
대 351
 
2.0%
사 314
 
1.8%
교 291
 
1.7%
학 286
 
1.6%
시 234
 
1.3%
Other values (475) 10081
57.5%
Uppercase Letter
ValueCountFrequency (%)
M 17
11.2%
K 15
 
9.9%
A 15
 
9.9%
I 12
 
7.9%
S 11
 
7.2%
C 11
 
7.2%
U 9
 
5.9%
E 8
 
5.3%
T 8
 
5.3%
O 8
 
5.3%
Other values (12) 38
25.0%
Decimal Number
ValueCountFrequency (%)
1 15
21.4%
3 12
17.1%
5 9
12.9%
0 9
12.9%
2 8
11.4%
6 8
11.4%
4 4
 
5.7%
7 3
 
4.3%
8 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 8
33.3%
& 6
25.0%
· 5
20.8%
, 3
 
12.5%
/ 1
 
4.2%
: 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
u 1
16.7%
i 1
16.7%
m 1
16.7%
n 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17537
95.6%
Common 646
 
3.5%
Latin 158
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 2207
 
12.6%
물 1337
 
7.6%
박 1318
 
7.5%
미 560
 
3.2%
술 558
 
3.2%
대 351
 
2.0%
사 314
 
1.8%
교 291
 
1.7%
학 286
 
1.6%
시 234
 
1.3%
Other values (475) 10081
57.5%
Latin
ValueCountFrequency (%)
M 17
 
10.8%
K 15
 
9.5%
A 15
 
9.5%
I 12
 
7.6%
S 11
 
7.0%
C 11
 
7.0%
U 9
 
5.7%
E 8
 
5.1%
T 8
 
5.1%
O 8
 
5.1%
Other values (17) 44
27.8%
Common
ValueCountFrequency (%)
411
63.6%
( 67
 
10.4%
) 67
 
10.4%
1 15
 
2.3%
3 12
 
1.9%
5 9
 
1.4%
0 9
 
1.4%
2 8
 
1.2%
6 8
 
1.2%
. 8
 
1.2%
Other values (11) 32
 
5.0%
Han
ValueCountFrequency (%)
性 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17536
95.6%
ASCII 797
 
4.3%
None 6
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 2207
 
12.6%
물 1337
 
7.6%
박 1318
 
7.5%
미 560
 
3.2%
술 558
 
3.2%
대 351
 
2.0%
사 314
 
1.8%
교 291
 
1.7%
학 286
 
1.6%
시 234
 
1.3%
Other values (474) 10080
57.5%
ASCII
ValueCountFrequency (%)
411
51.6%
( 67
 
8.4%
) 67
 
8.4%
M 17
 
2.1%
K 15
 
1.9%
1 15
 
1.9%
A 15
 
1.9%
3 12
 
1.5%
I 12
 
1.5%
S 11
 
1.4%
Other values (36) 155
 
19.4%
None
ValueCountFrequency (%)
· 5
83.3%
㈜ 1
 
16.7%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
CJK
ValueCountFrequency (%)
性 1
100.0%

박물관미술관구분
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
사립
1065 
공립
940 
대학
197 
국립
 
98

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1065
46.3%
공립 940
40.9%
대학 197
 
8.6%
국립 98
 
4.3%

Length

2024-05-11T16:46:57.040879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:46:57.990284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1065
46.3%
공립 940
40.9%
대학 197
 
8.6%
국립 98
 
4.3%

소재지도로명주소
Text

Distinct1562
Distinct (%)68.0%
Missing2
Missing (%)0.1%
Memory size18.1 KiB
2024-05-11T16:46:59.462389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length20.672324
Min length13

Characters and Unicode

Total characters47505
Distinct characters403
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

Unique898 ?
Unique (%)39.1%

Sample

1st row전라남도 영광군 불갑면 불갑사로 450
2nd row전라남도 영광군 백수읍 대신길3길 3
3rd row대전광역시 대덕구 대청로 618-136
4th row대전광역시 동구 산내로 321-35
5th row대전광역시 유성구 대학로 99
ValueCountFrequency (%)
경기도 340
 
3.2%
서울특별시 327
 
3.1%
강원특별자치도 192
 
1.8%
전라남도 173
 
1.6%
경상북도 149
 
1.4%
제주특별자치도 145
 
1.4%
경상남도 141
 
1.3%
충청남도 131
 
1.2%
전라북도 128
 
1.2%
종로구 110
 
1.0%
Other values (2576) 8769
82.7%
2024-05-11T16:47:01.638959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8316
 
17.5%
로 1829
 
3.9%
도 1775
 
3.7%
시 1769
 
3.7%
1 1502
 
3.2%
구 969
 
2.0%
2 929
 
2.0%
길 925
 
1.9%
3 863
 
1.8%
경 763
 
1.6%
Other values (393) 27865
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30940
65.1%
Space Separator 8316
 
17.5%
Decimal Number 7569
 
15.9%
Dash Punctuation 474
 
1.0%
Open Punctuation 82
 
0.2%
Close Punctuation 81
 
0.2%
Uppercase Letter 21
 
< 0.1%
Other Punctuation 20
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1829
 
5.9%
도 1775
 
5.7%
시 1769
 
5.7%
구 969
 
3.1%
길 925
 
3.0%
경 763
 
2.5%
면 739
 
2.4%
남 738
 
2.4%
별 723
 
2.3%
특 723
 
2.3%
Other values (369) 19987
64.6%
Decimal Number
ValueCountFrequency (%)
1 1502
19.8%
2 929
12.3%
3 863
11.4%
4 726
9.6%
5 698
9.2%
6 651
8.6%
0 638
8.4%
7 557
 
7.4%
9 534
 
7.1%
8 471
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
28.6%
C 4
19.0%
E 4
19.0%
P 4
19.0%
B 2
 
9.5%
S 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 17
85.0%
. 2
 
10.0%
· 1
 
5.0%
Space Separator
ValueCountFrequency (%)
8316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30940
65.1%
Common 16544
34.8%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1829
 
5.9%
도 1775
 
5.7%
시 1769
 
5.7%
구 969
 
3.1%
길 925
 
3.0%
경 763
 
2.5%
면 739
 
2.4%
남 738
 
2.4%
별 723
 
2.3%
특 723
 
2.3%
Other values (369) 19987
64.6%
Common
ValueCountFrequency (%)
8316
50.3%
1 1502
 
9.1%
2 929
 
5.6%
3 863
 
5.2%
4 726
 
4.4%
5 698
 
4.2%
6 651
 
3.9%
0 638
 
3.9%
7 557
 
3.4%
9 534
 
3.2%
Other values (8) 1130
 
6.8%
Latin
ValueCountFrequency (%)
A 6
28.6%
C 4
19.0%
E 4
19.0%
P 4
19.0%
B 2
 
9.5%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30940
65.1%
ASCII 16564
34.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8316
50.2%
1 1502
 
9.1%
2 929
 
5.6%
3 863
 
5.2%
4 726
 
4.4%
5 698
 
4.2%
6 651
 
3.9%
0 638
 
3.9%
7 557
 
3.4%
9 534
 
3.2%
Other values (13) 1150
 
6.9%
Hangul
ValueCountFrequency (%)
로 1829
 
5.9%
도 1775
 
5.7%
시 1769
 
5.7%
구 969
 
3.1%
길 925
 
3.0%
경 763
 
2.5%
면 739
 
2.4%
남 738
 
2.4%
별 723
 
2.3%
특 723
 
2.3%
Other values (369) 19987
64.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

MISSING 

Distinct740
Distinct (%)90.2%
Missing1480
Missing (%)64.3%
Memory size18.1 KiB
2024-05-11T16:47:02.365441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length29
Mean length20.389024
Min length8

Characters and Unicode

Total characters16719
Distinct characters282
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

Unique668 ?
Unique (%)81.5%

Sample

1st row전라남도 영광군 불갑면 모악리 8
2nd row전라남도 영광군 백수읍 대신리 36
3rd row대전광역시 대덕구 미호동 1-5
4th row대전광역시 동구 하소동 361-3
5th row대전광역시 유성구 궁동 220
ValueCountFrequency (%)
경기도 153
 
4.0%
강원도 71
 
1.8%
전라남도 69
 
1.8%
전라북도 62
 
1.6%
서울특별시 61
 
1.6%
경상북도 56
 
1.5%
충청북도 54
 
1.4%
충청남도 54
 
1.4%
경상남도 52
 
1.3%
전주시 44
 
1.1%
Other values (1660) 3176
82.5%
2024-05-11T16:47:03.442897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3032
 
18.1%
도 680
 
4.1%
1 649
 
3.9%
시 600
 
3.6%
- 487
 
2.9%
동 478
 
2.9%
리 431
 
2.6%
2 392
 
2.3%
구 349
 
2.1%
3 349
 
2.1%
Other values (272) 9272
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10214
61.1%
Space Separator 3032
 
18.1%
Decimal Number 2977
 
17.8%
Dash Punctuation 487
 
2.9%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 680
 
6.7%
시 600
 
5.9%
동 478
 
4.7%
리 431
 
4.2%
구 349
 
3.4%
산 295
 
2.9%
남 292
 
2.9%
면 285
 
2.8%
경 283
 
2.8%
전 265
 
2.6%
Other values (256) 6256
61.2%
Decimal Number
ValueCountFrequency (%)
1 649
21.8%
2 392
13.2%
3 349
11.7%
5 282
9.5%
6 268
9.0%
4 263
8.8%
8 210
 
7.1%
0 192
 
6.4%
9 186
 
6.2%
7 186
 
6.2%
Space Separator
ValueCountFrequency (%)
3032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10214
61.1%
Common 6504
38.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 680
 
6.7%
시 600
 
5.9%
동 478
 
4.7%
리 431
 
4.2%
구 349
 
3.4%
산 295
 
2.9%
남 292
 
2.9%
면 285
 
2.8%
경 283
 
2.8%
전 265
 
2.6%
Other values (256) 6256
61.2%
Common
ValueCountFrequency (%)
3032
46.6%
1 649
 
10.0%
- 487
 
7.5%
2 392
 
6.0%
3 349
 
5.4%
5 282
 
4.3%
6 268
 
4.1%
4 263
 
4.0%
8 210
 
3.2%
0 192
 
3.0%
Other values (5) 380
 
5.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10214
61.1%
ASCII 6505
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3032
46.6%
1 649
 
10.0%
- 487
 
7.5%
2 392
 
6.0%
3 349
 
5.4%
5 282
 
4.3%
6 268
 
4.1%
4 263
 
4.0%
8 210
 
3.2%
0 192
 
3.0%
Other values (6) 381
 
5.9%
Hangul
ValueCountFrequency (%)
도 680
 
6.7%
시 600
 
5.9%
동 478
 
4.7%
리 431
 
4.2%
구 349
 
3.4%
산 295
 
2.9%
남 292
 
2.9%
면 285
 
2.8%
경 283
 
2.8%
전 265
 
2.6%
Other values (256) 6256
61.2%

위도
Real number (ℝ)

Distinct1775
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.426573
Minimum33.239977
Maximum38.58408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-05-11T16:47:03.804928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.239977
5-th percentile33.469981
Q135.401464
median36.76009
Q337.532912
95-th percentile37.83281
Maximum38.58408
Range5.344103
Interquartile range (IQR)2.131448

Descriptive statistics

Standard deviation1.2859337
Coefficient of variation (CV)0.035302077
Kurtosis-0.2679237
Mean36.426573
Median Absolute Deviation (MAD)0.84739711
Skewness-0.77321385
Sum83781.117
Variance1.6536254
MonotonicityNot monotonic
2024-05-11T16:47:04.284826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7744783 6
 
0.3%
37.70545629 6
 
0.3%
37.4802402 6
 
0.3%
37.41532774 5
 
0.2%
35.8411407 5
 
0.2%
35.81616417 5
 
0.2%
35.83049163 4
 
0.2%
37.5203397 4
 
0.2%
37.46803806 4
 
0.2%
37.32528094 4
 
0.2%
Other values (1765) 2251
97.9%
ValueCountFrequency (%)
33.23997655 2
0.1%
33.24025015 1
< 0.1%
33.240289 1
< 0.1%
33.244822 1
< 0.1%
33.244841 1
< 0.1%
33.24484755 1
< 0.1%
33.2451236 1
< 0.1%
33.24530212 2
0.1%
33.245827 1
< 0.1%
33.24586163 1
< 0.1%
ValueCountFrequency (%)
38.58407952 1
 
< 0.1%
38.584071 2
0.1%
38.57624688 3
0.1%
38.47250515 1
 
< 0.1%
38.47218738 2
0.1%
38.47200875 1
 
< 0.1%
38.307231 1
 
< 0.1%
38.26517662 3
0.1%
38.2133718 1
 
< 0.1%
38.21234555 1
 
< 0.1%

경도
Real number (ℝ)

Distinct1777
Distinct (%)77.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.50368
Minimum125.42332
Maximum130.90088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-05-11T16:47:04.598755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.42332
5-th percentile126.43201
Q1126.91672
median127.15113
Q3128.25236
95-th percentile129.07565
Maximum130.90088
Range5.4775645
Interquartile range (IQR)1.3356415

Descriptive statistics

Standard deviation0.85792085
Coefficient of variation (CV)0.0067285968
Kurtosis-0.64717552
Mean127.50368
Median Absolute Deviation (MAD)0.4620377
Skewness0.65229987
Sum293130.96
Variance0.73602819
MonotonicityNot monotonic
2024-05-11T16:47:04.916682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9430975 6
 
0.3%
129.0078449 6
 
0.3%
127.13158997 5
 
0.2%
127.0142152 5
 
0.2%
127.8234698 5
 
0.2%
127.0888841 5
 
0.2%
128.1717233 4
 
0.2%
127.1155179 4
 
0.2%
126.8531043041 4
 
0.2%
128.8767146 4
 
0.2%
Other values (1767) 2251
97.9%
ValueCountFrequency (%)
125.4233176 1
< 0.1%
125.4276183 1
< 0.1%
125.4300918 2
0.1%
125.9464592 1
< 0.1%
125.9959143 2
0.1%
125.9968744 2
0.1%
126.0284835 1
< 0.1%
126.0375545 1
< 0.1%
126.0627136 1
< 0.1%
126.0727879 1
< 0.1%
ValueCountFrequency (%)
130.9008821 1
< 0.1%
130.9008801 1
< 0.1%
129.5682565 1
< 0.1%
129.5665319 1
< 0.1%
129.4093438 1
< 0.1%
129.4093425 1
< 0.1%
129.391093 1
< 0.1%
129.3910762 1
< 0.1%
129.3869947 1
< 0.1%
129.380796 1
< 0.1%

운영기관전화번호
Text

Distinct1518
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:05.548435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.92087
Min length3

Characters and Unicode

Total characters27418
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

Unique866 ?
Unique (%)37.7%

Sample

1st row061-352-8097
2nd row070-7011-6887
3rd row042-930-7332
4th row042-274-0016
5th row042-821-6042
ValueCountFrequency (%)
033-339-7000 6
 
0.3%
033-661-3413 6
 
0.3%
031-231-7200 6
 
0.3%
033-644-9411 6
 
0.3%
061-240-8067 5
 
0.2%
033-655-1130 5
 
0.2%
033-730-9000 5
 
0.2%
000-0000-0000 5
 
0.2%
02-6925-5011 5
 
0.2%
033-460-8900 4
 
0.2%
Other values (1508) 2247
97.7%
2024-05-11T16:47:06.456328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4809
17.5%
- 4586
16.7%
3 3067
11.2%
2 2340
8.5%
1 2151
7.8%
5 2118
7.7%
4 2041
7.4%
6 2013
7.3%
7 1692
 
6.2%
8 1516
 
5.5%
Other values (2) 1085
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22831
83.3%
Dash Punctuation 4586
 
16.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4809
21.1%
3 3067
13.4%
2 2340
10.2%
1 2151
9.4%
5 2118
9.3%
4 2041
8.9%
6 2013
8.8%
7 1692
 
7.4%
8 1516
 
6.6%
9 1084
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 4586
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4809
17.5%
- 4586
16.7%
3 3067
11.2%
2 2340
8.5%
1 2151
7.8%
5 2118
7.7%
4 2041
7.4%
6 2013
7.3%
7 1692
 
6.2%
8 1516
 
5.5%
Other values (2) 1085
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4809
17.5%
- 4586
16.7%
3 3067
11.2%
2 2340
8.5%
1 2151
7.8%
5 2118
7.7%
4 2041
7.4%
6 2013
7.3%
7 1692
 
6.2%
8 1516
 
5.5%
Other values (2) 1085
 
4.0%

운영기관명
Text

Distinct1552
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:07.343094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length22
Mean length7.9795652
Min length2

Characters and Unicode

Total characters18353
Distinct characters529
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1037 ?
Unique (%)45.1%

Sample

1st row대한불교조계종불갑사
2nd row재단법인 원불교
3rd row한국수자원공사
4th row옛터민속박물관
5th row충남대학교
ValueCountFrequency (%)
전라남도 56
 
1.9%
전라북도 43
 
1.5%
경상남도 43
 
1.5%
경상북도 34
 
1.2%
강원특별자치도 28
 
0.9%
경기도 27
 
0.9%
충청남도 26
 
0.9%
신안군 22
 
0.7%
충청북도 22
 
0.7%
재단법인 18
 
0.6%
Other values (1614) 2636
89.2%
2024-05-11T16:47:08.406285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 1221
 
6.7%
물 696
 
3.8%
박 694
 
3.8%
658
 
3.6%
도 433
 
2.4%
술 420
 
2.3%
시 408
 
2.2%
미 402
 
2.2%
대 346
 
1.9%
화 345
 
1.9%
Other values (519) 12730
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17179
93.6%
Space Separator 658
 
3.6%
Close Punctuation 156
 
0.8%
Open Punctuation 153
 
0.8%
Uppercase Letter 75
 
0.4%
Other Symbol 42
 
0.2%
Decimal Number 32
 
0.2%
Lowercase Letter 27
 
0.1%
Other Punctuation 25
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1221
 
7.1%
물 696
 
4.1%
박 694
 
4.0%
도 433
 
2.5%
술 420
 
2.4%
시 408
 
2.4%
미 402
 
2.3%
대 346
 
2.0%
화 345
 
2.0%
문 312
 
1.8%
Other values (460) 11902
69.3%
Uppercase Letter
ValueCountFrequency (%)
K 12
16.0%
C 12
16.0%
T 6
 
8.0%
M 5
 
6.7%
A 5
 
6.7%
G 5
 
6.7%
S 4
 
5.3%
O 4
 
5.3%
I 3
 
4.0%
J 3
 
4.0%
Other values (11) 16
21.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
 
11.1%
n 3
 
11.1%
a 2
 
7.4%
r 2
 
7.4%
t 2
 
7.4%
s 2
 
7.4%
h 1
 
3.7%
d 1
 
3.7%
p 1
 
3.7%
y 1
 
3.7%
Other values (9) 9
33.3%
Decimal Number
ValueCountFrequency (%)
3 9
28.1%
5 6
18.8%
6 4
12.5%
0 4
12.5%
7 3
 
9.4%
4 2
 
6.2%
1 2
 
6.2%
2 2
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 8
32.0%
& 6
24.0%
/ 5
20.0%
· 4
16.0%
: 2
 
8.0%
Space Separator
ValueCountFrequency (%)
658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17221
93.8%
Common 1030
 
5.6%
Latin 102
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1221
 
7.1%
물 696
 
4.0%
박 694
 
4.0%
도 433
 
2.5%
술 420
 
2.4%
시 408
 
2.4%
미 402
 
2.3%
대 346
 
2.0%
화 345
 
2.0%
문 312
 
1.8%
Other values (461) 11944
69.4%
Latin
ValueCountFrequency (%)
K 12
 
11.8%
C 12
 
11.8%
T 6
 
5.9%
M 5
 
4.9%
A 5
 
4.9%
G 5
 
4.9%
S 4
 
3.9%
O 4
 
3.9%
o 3
 
2.9%
n 3
 
2.9%
Other values (30) 43
42.2%
Common
ValueCountFrequency (%)
658
63.9%
) 156
 
15.1%
( 153
 
14.9%
3 9
 
0.9%
. 8
 
0.8%
& 6
 
0.6%
5 6
 
0.6%
/ 5
 
0.5%
6 4
 
0.4%
+ 4
 
0.4%
Other values (8) 21
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17179
93.6%
ASCII 1128
 
6.1%
None 46
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 1221
 
7.1%
물 696
 
4.1%
박 694
 
4.0%
도 433
 
2.5%
술 420
 
2.4%
시 408
 
2.4%
미 402
 
2.3%
대 346
 
2.0%
화 345
 
2.0%
문 312
 
1.8%
Other values (460) 11902
69.3%
ASCII
ValueCountFrequency (%)
658
58.3%
) 156
 
13.8%
( 153
 
13.6%
K 12
 
1.1%
C 12
 
1.1%
3 9
 
0.8%
. 8
 
0.7%
T 6
 
0.5%
& 6
 
0.5%
5 6
 
0.5%
Other values (47) 102
 
9.0%
None
ValueCountFrequency (%)
㈜ 42
91.3%
· 4
 
8.7%

운영홈페이지
Text

MISSING 

Distinct740
Distinct (%)84.1%
Missing1420
Missing (%)61.7%
Memory size18.1 KiB
2024-05-11T16:47:09.022274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length73
Mean length30.356818
Min length1

Characters and Unicode

Total characters26714
Distinct characters111
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)72.8%

Sample

1st row없음
2nd rowwww.yetermuseum.com
3rd rowhttp://museum.cnu.ac.kr/
4th rownhm.cnu.ac.kr
5th rowhttp://www.ulsan.go.kr/s/museum
ValueCountFrequency (%)
https://www.shinan.go.kr/home/museum 14
 
1.6%
http://www.ywmuseum.com 13
 
1.5%
https://www.yp21.go.kr/museumhub 5
 
0.6%
http://www.bcmuseum.or.kr 5
 
0.6%
http://www.incheon.go.kr/museum 5
 
0.6%
http://www.ygpm.or.kr 4
 
0.5%
www.artsunchang.com 4
 
0.5%
https://www.hongcheon.go.kr/museum 4
 
0.5%
http://www.jeongeup.go.kr 4
 
0.5%
https://www.goseong.go.kr/tour 3
 
0.3%
Other values (728) 825
93.1%
2024-05-11T16:47:09.923023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2462
 
9.2%
. 2396
 
9.0%
t 1966
 
7.4%
w 1878
 
7.0%
o 1578
 
5.9%
m 1431
 
5.4%
u 1307
 
4.9%
e 1176
 
4.4%
s 1156
 
4.3%
r 1149
 
4.3%
Other values (101) 10215
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19973
74.8%
Other Punctuation 5700
 
21.3%
Decimal Number 583
 
2.2%
Uppercase Letter 184
 
0.7%
Other Letter 87
 
0.3%
Connector Punctuation 84
 
0.3%
Math Symbol 71
 
0.3%
Dash Punctuation 21
 
0.1%
Space Separator 6
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 10
 
11.5%
박 6
 
6.9%
물 6
 
6.9%
국 5
 
5.7%
한 5
 
5.7%
이 3
 
3.4%
중 3
 
3.4%
검 2
 
2.3%
화 2
 
2.3%
보 2
 
2.3%
Other values (32) 43
49.4%
Lowercase Letter
ValueCountFrequency (%)
t 1966
 
9.8%
w 1878
 
9.4%
o 1578
 
7.9%
m 1431
 
7.2%
u 1307
 
6.5%
e 1176
 
5.9%
s 1156
 
5.8%
r 1149
 
5.8%
h 1134
 
5.7%
n 982
 
4.9%
Other values (16) 6216
31.1%
Uppercase Letter
ValueCountFrequency (%)
C 33
17.9%
P 19
10.3%
A 15
8.2%
I 15
8.2%
T 14
 
7.6%
E 12
 
6.5%
O 10
 
5.4%
M 10
 
5.4%
L 10
 
5.4%
R 9
 
4.9%
Other values (10) 37
20.1%
Decimal Number
ValueCountFrequency (%)
0 220
37.7%
1 80
 
13.7%
2 65
 
11.1%
4 49
 
8.4%
8 45
 
7.7%
5 43
 
7.4%
3 22
 
3.8%
7 22
 
3.8%
9 20
 
3.4%
6 17
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 2462
43.2%
. 2396
42.0%
: 771
 
13.5%
? 44
 
0.8%
& 27
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 69
97.2%
+ 2
 
2.8%
Connector Punctuation
ValueCountFrequency (%)
_ 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20157
75.5%
Common 6470
 
24.2%
Hangul 87
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1966
 
9.8%
w 1878
 
9.3%
o 1578
 
7.8%
m 1431
 
7.1%
u 1307
 
6.5%
e 1176
 
5.8%
s 1156
 
5.7%
r 1149
 
5.7%
h 1134
 
5.6%
n 982
 
4.9%
Other values (36) 6400
31.8%
Hangul
ValueCountFrequency (%)
관 10
 
11.5%
박 6
 
6.9%
물 6
 
6.9%
국 5
 
5.7%
한 5
 
5.7%
이 3
 
3.4%
중 3
 
3.4%
검 2
 
2.3%
화 2
 
2.3%
보 2
 
2.3%
Other values (32) 43
49.4%
Common
ValueCountFrequency (%)
/ 2462
38.1%
. 2396
37.0%
: 771
 
11.9%
0 220
 
3.4%
_ 84
 
1.3%
1 80
 
1.2%
= 69
 
1.1%
2 65
 
1.0%
4 49
 
0.8%
8 45
 
0.7%
Other values (13) 229
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26626
99.7%
Hangul 87
 
0.3%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2462
 
9.2%
. 2396
 
9.0%
t 1966
 
7.4%
w 1878
 
7.1%
o 1578
 
5.9%
m 1431
 
5.4%
u 1307
 
4.9%
e 1176
 
4.4%
s 1156
 
4.3%
r 1149
 
4.3%
Other values (58) 10127
38.0%
Hangul
ValueCountFrequency (%)
관 10
 
11.5%
박 6
 
6.9%
물 6
 
6.9%
국 5
 
5.7%
한 5
 
5.7%
이 3
 
3.4%
중 3
 
3.4%
검 2
 
2.3%
화 2
 
2.3%
보 2
 
2.3%
Other values (32) 43
49.4%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

편의시설정보
Text

MISSING 

Distinct269
Distinct (%)59.1%
Missing1845
Missing (%)80.2%
Memory size18.1 KiB
2024-05-11T16:47:10.301752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length46
Mean length12.287912
Min length1

Characters and Unicode

Total characters5591
Distinct characters332
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)40.9%

Sample

1st row해당없음
2nd row해당없음
3rd row없음
4th row식당 및 카페
5th row없음
ValueCountFrequency (%)
주차장 36
 
5.1%
없음 27
 
3.9%
등 24
 
3.4%
카페 20
 
2.9%
전시실 17
 
2.4%
및 17
 
2.4%
화장실 16
 
2.3%
휴게공간 12
 
1.7%
장애인 10
 
1.4%
수유실 9
 
1.3%
Other values (333) 513
73.2%
2024-05-11T16:47:11.616747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 535
 
9.6%
실 357
 
6.4%
246
 
4.4%
장 236
 
4.2%
차 121
 
2.2%
주 115
 
2.1%
시 114
 
2.0%
전 111
 
2.0%
카 101
 
1.8%
페 97
 
1.7%
Other values (322) 3558
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4311
77.1%
Math Symbol 540
 
9.7%
Space Separator 246
 
4.4%
Lowercase Letter 168
 
3.0%
Other Punctuation 108
 
1.9%
Decimal Number 77
 
1.4%
Open Punctuation 49
 
0.9%
Close Punctuation 49
 
0.9%
Uppercase Letter 40
 
0.7%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 357
 
8.3%
장 236
 
5.5%
차 121
 
2.8%
주 115
 
2.7%
시 114
 
2.6%
전 111
 
2.6%
카 101
 
2.3%
페 97
 
2.3%
관 96
 
2.2%
화 93
 
2.2%
Other values (266) 2870
66.6%
Lowercase Letter
ValueCountFrequency (%)
t 17
 
10.1%
w 12
 
7.1%
u 11
 
6.5%
o 11
 
6.5%
a 11
 
6.5%
h 10
 
6.0%
i 10
 
6.0%
n 10
 
6.0%
c 10
 
6.0%
m 8
 
4.8%
Other values (12) 58
34.5%
Uppercase Letter
ValueCountFrequency (%)
A 7
17.5%
M 6
15.0%
N 5
12.5%
D 5
12.5%
O 4
10.0%
R 3
7.5%
B 3
7.5%
E 3
7.5%
U 2
 
5.0%
X 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
2 22
28.6%
1 21
27.3%
0 14
18.2%
3 10
13.0%
4 4
 
5.2%
5 3
 
3.9%
9 2
 
2.6%
6 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 55
50.9%
/ 23
21.3%
. 14
 
13.0%
: 7
 
6.5%
? 7
 
6.5%
& 1
 
0.9%
· 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 535
99.1%
~ 3
 
0.6%
= 2
 
0.4%
Space Separator
ValueCountFrequency (%)
246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4311
77.1%
Common 1072
 
19.2%
Latin 208
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 357
 
8.3%
장 236
 
5.5%
차 121
 
2.8%
주 115
 
2.7%
시 114
 
2.6%
전 111
 
2.6%
카 101
 
2.3%
페 97
 
2.3%
관 96
 
2.2%
화 93
 
2.2%
Other values (266) 2870
66.6%
Latin
ValueCountFrequency (%)
t 17
 
8.2%
w 12
 
5.8%
u 11
 
5.3%
o 11
 
5.3%
a 11
 
5.3%
h 10
 
4.8%
i 10
 
4.8%
n 10
 
4.8%
c 10
 
4.8%
m 8
 
3.8%
Other values (23) 98
47.1%
Common
ValueCountFrequency (%)
+ 535
49.9%
246
22.9%
, 55
 
5.1%
( 49
 
4.6%
) 49
 
4.6%
/ 23
 
2.1%
2 22
 
2.1%
1 21
 
2.0%
0 14
 
1.3%
. 14
 
1.3%
Other values (13) 44
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4311
77.1%
ASCII 1279
 
22.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 535
41.8%
246
19.2%
, 55
 
4.3%
( 49
 
3.8%
) 49
 
3.8%
/ 23
 
1.8%
2 22
 
1.7%
1 21
 
1.6%
t 17
 
1.3%
0 14
 
1.1%
Other values (45) 248
19.4%
Hangul
ValueCountFrequency (%)
실 357
 
8.3%
장 236
 
5.5%
차 121
 
2.8%
주 115
 
2.7%
시 114
 
2.6%
전 111
 
2.6%
카 101
 
2.3%
페 97
 
2.3%
관 96
 
2.2%
화 93
 
2.2%
Other values (266) 2870
66.6%
None
ValueCountFrequency (%)
· 1
100.0%

평일관람시작시각
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
09:00
1036 
10:00
941 
09:30
139 
11:00
 
60
00:00
 
47
Other values (12)
 
77

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
09:00 1036
45.0%
10:00 941
40.9%
09:30 139
 
6.0%
11:00 60
 
2.6%
00:00 47
 
2.0%
10:30 32
 
1.4%
08:30 13
 
0.6%
08:00 6
 
0.3%
12:00 5
 
0.2%
14:00 4
 
0.2%
Other values (7) 17
 
0.7%

Length

2024-05-11T16:47:11.896349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 1036
45.0%
10:00 941
40.9%
09:30 139
 
6.0%
11:00 60
 
2.6%
00:00 47
 
2.0%
10:30 32
 
1.4%
08:30 13
 
0.6%
08:00 6
 
0.3%
12:00 5
 
0.2%
14:00 4
 
0.2%
Other values (7) 17
 
0.7%

평일관람종료시각
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
18:00
1441 
17:00
468 
17:30
 
99
19:00
 
93
16:00
 
64
Other values (15)
 
135

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row17:00
2nd row17:00
3rd row17:00
4th row17:30
5th row17:00

Common Values

ValueCountFrequency (%)
18:00 1441
62.7%
17:00 468
 
20.3%
17:30 99
 
4.3%
19:00 93
 
4.0%
16:00 64
 
2.8%
00:00 46
 
2.0%
20:00 25
 
1.1%
18:30 14
 
0.6%
22:00 13
 
0.6%
16:30 11
 
0.5%
Other values (10) 26
 
1.1%

Length

2024-05-11T16:47:12.145330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 1441
62.7%
17:00 468
 
20.3%
17:30 99
 
4.3%
19:00 93
 
4.0%
16:00 64
 
2.8%
00:00 46
 
2.0%
20:00 25
 
1.1%
18:30 14
 
0.6%
22:00 13
 
0.6%
16:30 11
 
0.5%
Other values (10) 26
 
1.1%

공휴일관람시작시각
Categorical

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
09:00
957 
10:00
746 
00:00
350 
09:30
118 
11:00
 
59
Other values (11)
 
70

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
09:00 957
41.6%
10:00 746
32.4%
00:00 350
 
15.2%
09:30 118
 
5.1%
11:00 59
 
2.6%
10:30 29
 
1.3%
08:30 12
 
0.5%
12:00 6
 
0.3%
13:00 6
 
0.3%
08:00 5
 
0.2%
Other values (6) 12
 
0.5%

Length

2024-05-11T16:47:12.377477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 957
41.6%
10:00 746
32.4%
00:00 350
 
15.2%
09:30 118
 
5.1%
11:00 59
 
2.6%
10:30 29
 
1.3%
08:30 12
 
0.5%
12:00 6
 
0.3%
13:00 6
 
0.3%
08:00 5
 
0.2%
Other values (6) 12
 
0.5%

공휴일관람종료시각
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
18:00
1354 
00:00
344 
17:00
315 
19:00
 
105
17:30
 
74
Other values (16)
 
108

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row17:00
2nd row17:00
3rd row17:00
4th row17:30
5th row17:00

Common Values

ValueCountFrequency (%)
18:00 1354
58.9%
00:00 344
 
15.0%
17:00 315
 
13.7%
19:00 105
 
4.6%
17:30 74
 
3.2%
16:00 22
 
1.0%
20:00 22
 
1.0%
18:30 13
 
0.6%
22:00 12
 
0.5%
21:00 8
 
0.3%
Other values (11) 31
 
1.3%

Length

2024-05-11T16:47:12.619597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 1354
58.9%
00:00 344
 
15.0%
17:00 315
 
13.7%
19:00 105
 
4.6%
17:30 74
 
3.2%
16:00 22
 
1.0%
20:00 22
 
1.0%
18:30 13
 
0.6%
22:00 12
 
0.5%
21:00 8
 
0.3%
Other values (11) 31
 
1.3%

휴관정보
Text

Distinct815
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:13.127355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length64
Mean length15.244348
Min length1

Characters and Unicode

Total characters35062
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique593 ?
Unique (%)25.8%

Sample

1st row매주 월요일
2nd row매주 월요일
3rd row매주월요일,1월1일,설날추석당일
4th row연중무휴
5th row토, 일, 공휴일, 개교기념일
ValueCountFrequency (%)
당일 321
 
4.4%
경우 312
 
4.2%
공휴일인 300
 
4.1%
월 288
 
3.9%
월요일이 255
 
3.5%
월(단 238
 
3.2%
그 238
 
3.2%
연중무휴 226
 
3.1%
휴관 208
 
2.8%
당일은 207
 
2.8%
Other values (969) 4765
64.8%
2024-05-11T16:47:14.559295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5061
 
14.4%
일 3788
 
10.8%
+ 2822
 
8.0%
월 2673
 
7.6%
휴 1864
 
5.3%
1 1498
 
4.3%
당 878
 
2.5%
추 848
 
2.4%
석 847
 
2.4%
설 827
 
2.4%
Other values (252) 13956
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23792
67.9%
Space Separator 5061
 
14.4%
Math Symbol 2845
 
8.1%
Decimal Number 1743
 
5.0%
Other Punctuation 601
 
1.7%
Open Punctuation 492
 
1.4%
Close Punctuation 492
 
1.4%
Uppercase Letter 19
 
0.1%
Dash Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3788
 
15.9%
월 2673
 
11.2%
휴 1864
 
7.8%
당 878
 
3.7%
추 848
 
3.6%
석 847
 
3.6%
설 827
 
3.5%
요 812
 
3.4%
공 753
 
3.2%
관 718
 
3.0%
Other values (218) 9784
41.1%
Decimal Number
ValueCountFrequency (%)
1 1498
85.9%
0 63
 
3.6%
2 56
 
3.2%
3 30
 
1.7%
5 29
 
1.7%
9 23
 
1.3%
4 17
 
1.0%
8 14
 
0.8%
7 7
 
0.4%
6 6
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
D 3
15.8%
I 3
15.8%
V 3
15.8%
C 3
15.8%
O 3
15.8%
K 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
X 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 496
82.5%
. 36
 
6.0%
: 26
 
4.3%
/ 19
 
3.2%
· 18
 
3.0%
* 5
 
0.8%
? 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 2822
99.2%
~ 23
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 491
99.8%
「 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 491
99.8%
」 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5061
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23792
67.9%
Common 11251
32.1%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3788
 
15.9%
월 2673
 
11.2%
휴 1864
 
7.8%
당 878
 
3.7%
추 848
 
3.6%
석 847
 
3.6%
설 827
 
3.5%
요 812
 
3.4%
공 753
 
3.2%
관 718
 
3.0%
Other values (218) 9784
41.1%
Common
ValueCountFrequency (%)
5061
45.0%
+ 2822
25.1%
1 1498
 
13.3%
, 496
 
4.4%
( 491
 
4.4%
) 491
 
4.4%
0 63
 
0.6%
2 56
 
0.5%
. 36
 
0.3%
3 30
 
0.3%
Other values (15) 207
 
1.8%
Latin
ValueCountFrequency (%)
D 3
15.8%
I 3
15.8%
V 3
15.8%
C 3
15.8%
O 3
15.8%
K 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
X 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23788
67.8%
ASCII 11250
32.1%
None 20
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5061
45.0%
+ 2822
25.1%
1 1498
 
13.3%
, 496
 
4.4%
( 491
 
4.4%
) 491
 
4.4%
0 63
 
0.6%
2 56
 
0.5%
. 36
 
0.3%
3 30
 
0.3%
Other values (21) 206
 
1.8%
Hangul
ValueCountFrequency (%)
일 3788
 
15.9%
월 2673
 
11.2%
휴 1864
 
7.8%
당 878
 
3.7%
추 848
 
3.6%
석 847
 
3.6%
설 827
 
3.5%
요 812
 
3.4%
공 753
 
3.2%
관 718
 
3.0%
Other values (217) 9780
41.1%
None
ValueCountFrequency (%)
· 18
90.0%
「 1
 
5.0%
」 1
 
5.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

어른관람료
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2092.5217
Minimum0
Maximum40700
Zeros1393
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-05-11T16:47:14.961730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33000
95-th percentile10000
Maximum40700
Range40700
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation3773.2784
Coefficient of variation (CV)1.8032207
Kurtosis11.912842
Mean2092.5217
Median Absolute Deviation (MAD)0
Skewness2.7964988
Sum4812800
Variance14237630
MonotonicityNot monotonic
2024-05-11T16:47:15.648020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 1393
60.6%
5000 166
 
7.2%
2000 151
 
6.6%
3000 144
 
6.3%
1000 73
 
3.2%
6000 51
 
2.2%
10000 49
 
2.1%
7000 43
 
1.9%
4000 42
 
1.8%
12000 28
 
1.2%
Other values (28) 160
 
7.0%
ValueCountFrequency (%)
0 1393
60.6%
100 1
 
< 0.1%
500 13
 
0.6%
1000 73
 
3.2%
1100 2
 
0.1%
1200 2
 
0.1%
1300 2
 
0.1%
1500 17
 
0.7%
2000 151
 
6.6%
2500 4
 
0.2%
ValueCountFrequency (%)
40700 1
 
< 0.1%
32000 1
 
< 0.1%
29000 1
 
< 0.1%
28000 1
 
< 0.1%
22000 1
 
< 0.1%
20000 5
 
0.2%
19000 1
 
< 0.1%
18000 7
 
0.3%
16000 3
 
0.1%
15000 24
1.0%

청소년관람료
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1550.5
Minimum0
Maximum38900
Zeros1415
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-05-11T16:47:16.345356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32000
95-th percentile8000
Maximum38900
Range38900
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation2977.7927
Coefficient of variation (CV)1.9205371
Kurtosis17.552527
Mean1550.5
Median Absolute Deviation (MAD)0
Skewness3.1809426
Sum3566150
Variance8867249.6
MonotonicityNot monotonic
2024-05-11T16:47:16.863572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 1415
61.5%
3000 130
 
5.7%
2000 118
 
5.1%
1000 92
 
4.0%
4000 90
 
3.9%
5000 80
 
3.5%
1500 64
 
2.8%
8000 34
 
1.5%
9000 31
 
1.3%
6000 30
 
1.3%
Other values (28) 216
 
9.4%
ValueCountFrequency (%)
0 1415
61.5%
200 2
 
0.1%
300 12
 
0.5%
500 27
 
1.2%
600 3
 
0.1%
700 30
 
1.3%
750 1
 
< 0.1%
800 11
 
0.5%
900 2
 
0.1%
1000 92
 
4.0%
ValueCountFrequency (%)
38900 1
 
< 0.1%
27000 1
 
< 0.1%
19200 1
 
< 0.1%
19000 1
 
< 0.1%
15000 8
 
0.3%
14000 1
 
< 0.1%
13500 2
 
0.1%
13000 9
 
0.4%
12000 25
1.1%
11000 7
 
0.3%

어린이관람료
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1292.4348
Minimum0
Maximum36900
Zeros1471
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-05-11T16:47:17.325864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31500
95-th percentile7000
Maximum36900
Range36900
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation2663.2116
Coefficient of variation (CV)2.0606159
Kurtosis22.117016
Mean1292.4348
Median Absolute Deviation (MAD)0
Skewness3.5377474
Sum2972600
Variance7092696.1
MonotonicityNot monotonic
2024-05-11T16:47:17.743867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1471
64.0%
3000 139
 
6.0%
1000 136
 
5.9%
2000 101
 
4.4%
5000 67
 
2.9%
500 61
 
2.7%
4000 60
 
2.6%
6000 36
 
1.6%
1500 28
 
1.2%
8000 28
 
1.2%
Other values (25) 173
 
7.5%
ValueCountFrequency (%)
0 1471
64.0%
200 7
 
0.3%
300 10
 
0.4%
400 7
 
0.3%
500 61
 
2.7%
600 8
 
0.3%
700 16
 
0.7%
800 5
 
0.2%
1000 136
 
5.9%
1200 1
 
< 0.1%
ValueCountFrequency (%)
36900 1
 
< 0.1%
25000 1
 
< 0.1%
19000 1
 
< 0.1%
17000 1
 
< 0.1%
16000 2
 
0.1%
15000 1
 
< 0.1%
13000 5
 
0.2%
12000 15
0.7%
11000 13
0.6%
10000 16
0.7%

관람료기타정보
Text

MISSING 

Distinct402
Distinct (%)51.1%
Missing1514
Missing (%)65.8%
Memory size18.1 KiB
2024-05-11T16:47:18.301922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length314
Median length120
Mean length39.744275
Min length1

Characters and Unicode

Total characters31239
Distinct characters335
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)39.1%

Sample

1st row전체무료
2nd row전체무료
3rd row무료
4th row무료
5th row무료
ValueCountFrequency (%)
무료 157
 
5.7%
0 98
 
3.6%
이상 97
 
3.5%
및 89
 
3.2%
60
 
2.2%
단체 57
 
2.1%
할인 51
 
1.9%
관람 46
 
1.7%
시 42
 
1.5%
장애인 40
 
1.5%
Other values (975) 2011
73.2%
2024-05-11T16:47:19.750442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3582
 
11.5%
1969
 
6.3%
+ 1313
 
4.2%
료 1267
 
4.1%
( 1217
 
3.9%
) 1216
 
3.9%
장 1136
 
3.6%
시 1097
 
3.5%
전 1013
 
3.2%
입 982
 
3.1%
Other values (325) 16447
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17500
56.0%
Decimal Number 6411
 
20.5%
Space Separator 1969
 
6.3%
Math Symbol 1585
 
5.1%
Open Punctuation 1263
 
4.0%
Close Punctuation 1262
 
4.0%
Dash Punctuation 964
 
3.1%
Other Punctuation 263
 
0.8%
Other Number 12
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 1267
 
7.2%
장 1136
 
6.5%
시 1097
 
6.3%
전 1013
 
5.8%
입 982
 
5.6%
별 977
 
5.6%
특 963
 
5.5%
인 545
 
3.1%
세 419
 
2.4%
이 339
 
1.9%
Other values (285) 8762
50.1%
Decimal Number
ValueCountFrequency (%)
0 3582
55.9%
5 711
 
11.1%
1 574
 
9.0%
2 524
 
8.2%
3 277
 
4.3%
9 247
 
3.9%
6 232
 
3.6%
4 137
 
2.1%
7 66
 
1.0%
8 61
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 97
36.9%
: 56
21.3%
/ 38
 
14.4%
. 37
 
14.1%
· 22
 
8.4%
* 11
 
4.2%
& 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 1313
82.8%
~ 270
 
17.0%
< 1
 
0.1%
> 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
C 1
25.0%
I 1
25.0%
O 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1217
96.4%
[ 45
 
3.6%
「 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1216
96.4%
] 45
 
3.6%
」 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 4
33.3%
② 4
33.3%
③ 4
33.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
1969
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 964
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17500
56.0%
Common 13733
44.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 1267
 
7.2%
장 1136
 
6.5%
시 1097
 
6.3%
전 1013
 
5.8%
입 982
 
5.6%
별 977
 
5.6%
특 963
 
5.5%
인 545
 
3.1%
세 419
 
2.4%
이 339
 
1.9%
Other values (285) 8762
50.1%
Common
ValueCountFrequency (%)
0 3582
26.1%
1969
14.3%
+ 1313
 
9.6%
( 1217
 
8.9%
) 1216
 
8.9%
- 964
 
7.0%
5 711
 
5.2%
1 574
 
4.2%
2 524
 
3.8%
3 277
 
2.0%
Other values (24) 1386
 
10.1%
Latin
ValueCountFrequency (%)
M 1
16.7%
C 1
16.7%
I 1
16.7%
r 1
16.7%
o 1
16.7%
O 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17493
56.0%
ASCII 13699
43.9%
None 24
 
0.1%
Enclosed Alphanum 12
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3582
26.1%
1969
14.4%
+ 1313
 
9.6%
( 1217
 
8.9%
) 1216
 
8.9%
- 964
 
7.0%
5 711
 
5.2%
1 574
 
4.2%
2 524
 
3.8%
3 277
 
2.0%
Other values (22) 1352
 
9.9%
Hangul
ValueCountFrequency (%)
료 1267
 
7.2%
장 1136
 
6.5%
시 1097
 
6.3%
전 1013
 
5.8%
입 982
 
5.6%
별 977
 
5.6%
특 963
 
5.5%
인 545
 
3.1%
세 419
 
2.4%
이 339
 
1.9%
Other values (284) 8755
50.0%
None
ValueCountFrequency (%)
· 22
91.7%
「 1
 
4.2%
」 1
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 4
33.3%
② 4
33.3%
③ 4
33.3%
Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
’ 2
50.0%

박물관미술관소개
Text

MISSING 

Distinct555
Distinct (%)87.0%
Missing1662
Missing (%)72.3%
Memory size18.1 KiB
2024-05-11T16:47:20.583967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length691
Median length169
Mean length82.167712
Min length2

Characters and Unicode

Total characters52423
Distinct characters787
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)74.9%

Sample

1st row불교 관련 전적, 불화, 공예품 전시
2nd row고고학, 민속유물, 인물 전시
3rd row- 대청댐 물문화관은 수(水)자원에 대한 관심과 흥미를 유발시키며, 수자원에 대한 소중함을 알리고 인식을 높이기 위해 대청댐에 만들어진 시설이다. - 대청댐의 역할과 기능을 알리고, 물의 소중함을 보여주는 제1전시관, 대청호와 금강에 사는 생물의 서식환경을 소개하는 제2전시관, 대청댐 건설로 인해 사라진 대청호 사람들의 삶과 문화를 기록·재현하는 제3전시관을 운영하고 있다.
4th row- 옛터민속박물관은 생활사 전반의 민속유물을 수집·보존·연구·전시·교육하는 기관으로 점차 소멸되어 가는 전통문화를 재조명하고 대중에게 소개하기 위해 운영하고 있는 박물관이다. - 연1~2회 특별전을 개최하여 다양한 민속유물을 공개하고 있으며 다양한 강좌·체험 프로그램을 운영하고 있다.
5th row- 충남대학교박물관은 1968년 4월 28일에 설립되어 다양한 역사문화자료를 수집, 보관, 전시함으로써 학술연구 및 교육문화발전에 힘써오고 있다. - 박물관 1층에 상설전시실이 운영 중에 있으며 다양한 발굴조사를 통해 수집된 유물들이 전시 되어 있으며, 충남대학교의 역사와 관련된 학교사 자료도 전시 되어있다. 그 외에 박물관대학 등 교육 강좌를 운영 중에 있다.
ValueCountFrequency (%)
및 149
 
1.3%
있는 148
 
1.3%
수 129
 
1.1%
전시 111
 
1.0%
있다 103
 
0.9%
등 98
 
0.9%
다양한 88
 
0.8%
있습니다 69
 
0.6%
있으며 59
 
0.5%
통해 57
 
0.5%
Other values (5325) 10426
91.2%
2024-05-11T16:47:21.667317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10842
 
20.7%
의 1026
 
2.0%
관 985
 
1.9%
시 761
 
1.5%
전 748
 
1.4%
을 730
 
1.4%
, 715
 
1.4%
하 698
 
1.3%
고 630
 
1.2%
한 585
 
1.1%
Other values (777) 34703
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37473
71.5%
Space Separator 10842
 
20.7%
Decimal Number 2050
 
3.9%
Other Punctuation 1355
 
2.6%
Lowercase Letter 158
 
0.3%
Uppercase Letter 116
 
0.2%
Math Symbol 109
 
0.2%
Open Punctuation 90
 
0.2%
Close Punctuation 90
 
0.2%
Final Punctuation 50
 
0.1%
Other values (4) 90
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1026
 
2.7%
관 985
 
2.6%
시 761
 
2.0%
전 748
 
2.0%
을 730
 
1.9%
하 698
 
1.9%
고 630
 
1.7%
한 585
 
1.6%
다 570
 
1.5%
물 563
 
1.5%
Other values (696) 30177
80.5%
Lowercase Letter
ValueCountFrequency (%)
e 17
 
10.8%
t 16
 
10.1%
o 15
 
9.5%
n 14
 
8.9%
a 11
 
7.0%
m 10
 
6.3%
r 10
 
6.3%
s 7
 
4.4%
p 6
 
3.8%
w 6
 
3.8%
Other values (13) 46
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 16
13.8%
N 13
11.2%
S 12
10.3%
I 12
10.3%
M 10
8.6%
T 9
7.8%
E 8
 
6.9%
O 6
 
5.2%
Z 5
 
4.3%
K 5
 
4.3%
Other values (9) 20
17.2%
Decimal Number
ValueCountFrequency (%)
0 507
24.7%
1 413
20.1%
2 360
17.6%
9 152
 
7.4%
3 135
 
6.6%
4 110
 
5.4%
5 100
 
4.9%
7 94
 
4.6%
8 91
 
4.4%
6 88
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 715
52.8%
. 501
37.0%
· 101
 
7.5%
: 13
 
1.0%
/ 11
 
0.8%
? 10
 
0.7%
* 2
 
0.1%
＂ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 88
80.7%
~ 10
 
9.2%
∼ 4
 
3.7%
< 3
 
2.8%
> 3
 
2.8%
= 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 76
84.4%
『 9
 
10.0%
[ 5
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 76
84.4%
』 9
 
10.0%
] 5
 
5.6%
Final Punctuation
ValueCountFrequency (%)
’ 36
72.0%
” 14
 
28.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 24
75.0%
“ 8
 
25.0%
Other Symbol
ValueCountFrequency (%)
㎡ 12
92.3%
㈜ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
10842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Number
ValueCountFrequency (%)
² 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37428
71.4%
Common 14675
 
28.0%
Latin 274
 
0.5%
Han 46
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1026
 
2.7%
관 985
 
2.6%
시 761
 
2.0%
전 748
 
2.0%
을 730
 
2.0%
하 698
 
1.9%
고 630
 
1.7%
한 585
 
1.6%
다 570
 
1.5%
물 563
 
1.5%
Other values (657) 30132
80.5%
Latin
ValueCountFrequency (%)
e 17
 
6.2%
A 16
 
5.8%
t 16
 
5.8%
o 15
 
5.5%
n 14
 
5.1%
N 13
 
4.7%
S 12
 
4.4%
I 12
 
4.4%
a 11
 
4.0%
m 10
 
3.6%
Other values (32) 138
50.4%
Han
ValueCountFrequency (%)
許 2
 
4.3%
濕 2
 
4.3%
潤 2
 
4.3%
園 2
 
4.3%
形 2
 
4.3%
田 2
 
4.3%
故 1
 
2.2%
片 1
 
2.2%
層 1
 
2.2%
碑 1
 
2.2%
Other values (30) 30
65.2%
Common
ValueCountFrequency (%)
10842
73.9%
, 715
 
4.9%
0 507
 
3.5%
. 501
 
3.4%
1 413
 
2.8%
2 360
 
2.5%
9 152
 
1.0%
3 135
 
0.9%
4 110
 
0.7%
· 101
 
0.7%
Other values (28) 839
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37394
71.3%
ASCII 14728
 
28.1%
None 124
 
0.2%
Punctuation 82
 
0.2%
CJK 46
 
0.1%
Compat Jamo 33
 
0.1%
CJK Compat 12
 
< 0.1%
Math Operators 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10842
73.6%
, 715
 
4.9%
0 507
 
3.4%
. 501
 
3.4%
1 413
 
2.8%
2 360
 
2.4%
9 152
 
1.0%
3 135
 
0.9%
4 110
 
0.7%
5 100
 
0.7%
Other values (59) 893
 
6.1%
Hangul
ValueCountFrequency (%)
의 1026
 
2.7%
관 985
 
2.6%
시 761
 
2.0%
전 748
 
2.0%
을 730
 
2.0%
하 698
 
1.9%
고 630
 
1.7%
한 585
 
1.6%
다 570
 
1.5%
물 563
 
1.5%
Other values (652) 30098
80.5%
None
ValueCountFrequency (%)
· 101
81.5%
『 9
 
7.3%
』 9
 
7.3%
＂ 2
 
1.6%
² 2
 
1.6%
㈜ 1
 
0.8%
Punctuation
ValueCountFrequency (%)
’ 36
43.9%
‘ 24
29.3%
” 14
 
17.1%
“ 8
 
9.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 29
87.9%
ㅡ 2
 
6.1%
ㄱ 1
 
3.0%
ㅁ 1
 
3.0%
CJK Compat
ValueCountFrequency (%)
㎡ 12
100.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
CJK
ValueCountFrequency (%)
許 2
 
4.3%
濕 2
 
4.3%
潤 2
 
4.3%
園 2
 
4.3%
形 2
 
4.3%
田 2
 
4.3%
故 1
 
2.2%
片 1
 
2.2%
層 1
 
2.2%
碑 1
 
2.2%
Other values (30) 30
65.2%

교통안내정보
Text

MISSING 

Distinct387
Distinct (%)83.2%
Missing1835
Missing (%)79.8%
Memory size18.1 KiB
2024-05-11T16:47:22.211300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length780
Median length165
Mean length64.197849
Min length1

Characters and Unicode

Total characters29852
Distinct characters491
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)69.9%

Sample

1st row버스이용
2nd row버스이용
3rd row- 버스 : 72, 73
4th row- 버스 : 501
5th row- 버스 : 111-1, 140, 222
ValueCountFrequency (%)
380
 
7.4%
→ 228
 
4.4%
하차 161
 
3.1%
버스 122
 
2.4%
지하철 62
 
1.2%
후 59
 
1.1%
도보 55
 
1.1%
시내버스 52
 
1.0%
이용 52
 
1.0%
정류장 46
 
0.9%
Other values (2040) 3937
76.4%
2024-05-11T16:47:23.004470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4778
 
16.0%
1 1235
 
4.1%
0 997
 
3.3%
, 737
 
2.5%
2 704
 
2.4%
3 673
 
2.3%
+ 582
 
1.9%
) 542
 
1.8%
5 513
 
1.7%
( 501
 
1.7%
Other values (481) 18590
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14414
48.3%
Decimal Number 5612
 
18.8%
Space Separator 4778
 
16.0%
Other Punctuation 1402
 
4.7%
Math Symbol 1043
 
3.5%
Lowercase Letter 669
 
2.2%
Close Punctuation 573
 
1.9%
Open Punctuation 532
 
1.8%
Dash Punctuation 467
 
1.6%
Uppercase Letter 334
 
1.1%
Other values (5) 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 501
 
3.5%
스 486
 
3.4%
버 473
 
3.3%
도 365
 
2.5%
하 334
 
2.3%
차 320
 
2.2%
서 292
 
2.0%
시 262
 
1.8%
로 259
 
1.8%
역 249
 
1.7%
Other values (405) 10873
75.4%
Lowercase Letter
ValueCountFrequency (%)
m 114
17.0%
k 65
 
9.7%
t 47
 
7.0%
o 45
 
6.7%
w 40
 
6.0%
h 39
 
5.8%
e 33
 
4.9%
u 32
 
4.8%
s 31
 
4.6%
c 30
 
4.5%
Other values (14) 193
28.8%
Uppercase Letter
ValueCountFrequency (%)
C 134
40.1%
I 123
36.8%
M 18
 
5.4%
A 14
 
4.2%
J 10
 
3.0%
K 7
 
2.1%
T 7
 
2.1%
S 7
 
2.1%
B 6
 
1.8%
X 3
 
0.9%
Other values (5) 5
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 1235
22.0%
0 997
17.8%
2 704
12.5%
3 673
12.0%
5 513
9.1%
4 390
 
6.9%
7 382
 
6.8%
6 352
 
6.3%
8 199
 
3.5%
9 167
 
3.0%
Math Symbol
ValueCountFrequency (%)
+ 582
55.8%
→ 364
34.9%
~ 31
 
3.0%
> 27
 
2.6%
↔ 24
 
2.3%
< 8
 
0.8%
= 5
 
0.5%
▷ 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 737
52.6%
: 316
22.5%
/ 209
 
14.9%
. 105
 
7.5%
· 29
 
2.1%
? 5
 
0.4%
& 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 542
94.6%
] 31
 
5.4%
Open Punctuation
ValueCountFrequency (%)
( 501
94.2%
[ 31
 
5.8%
Other Symbol
ValueCountFrequency (%)
㎞ 6
75.0%
○ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
4778
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 467
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Other Number
ValueCountFrequency (%)
③ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14435
48.4%
Hangul 14413
48.3%
Latin 1003
 
3.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 501
 
3.5%
스 486
 
3.4%
버 473
 
3.3%
도 365
 
2.5%
하 334
 
2.3%
차 320
 
2.2%
서 292
 
2.0%
시 262
 
1.8%
로 259
 
1.8%
역 249
 
1.7%
Other values (404) 10872
75.4%
Latin
ValueCountFrequency (%)
C 134
13.4%
I 123
 
12.3%
m 114
 
11.4%
k 65
 
6.5%
t 47
 
4.7%
o 45
 
4.5%
w 40
 
4.0%
h 39
 
3.9%
e 33
 
3.3%
u 32
 
3.2%
Other values (29) 331
33.0%
Common
ValueCountFrequency (%)
4778
33.1%
1 1235
 
8.6%
0 997
 
6.9%
, 737
 
5.1%
2 704
 
4.9%
3 673
 
4.7%
+ 582
 
4.0%
) 542
 
3.8%
5 513
 
3.6%
( 501
 
3.5%
Other values (27) 3173
22.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15004
50.3%
Hangul 14402
48.2%
Arrows 388
 
1.3%
None 29
 
0.1%
Compat Jamo 11
 
< 0.1%
CJK Compat 6
 
< 0.1%
Punctuation 6
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4778
31.8%
1 1235
 
8.2%
0 997
 
6.6%
, 737
 
4.9%
2 704
 
4.7%
3 673
 
4.5%
+ 582
 
3.9%
) 542
 
3.6%
5 513
 
3.4%
( 501
 
3.3%
Other values (57) 3742
24.9%
Hangul
ValueCountFrequency (%)
번 501
 
3.5%
스 486
 
3.4%
버 473
 
3.3%
도 365
 
2.5%
하 334
 
2.3%
차 320
 
2.2%
서 292
 
2.0%
시 262
 
1.8%
로 259
 
1.8%
역 249
 
1.7%
Other values (403) 10861
75.4%
Arrows
ValueCountFrequency (%)
→ 364
93.8%
↔ 24
 
6.2%
None
ValueCountFrequency (%)
· 29
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%
CJK Compat
ValueCountFrequency (%)
㎞ 6
100.0%
Punctuation
ValueCountFrequency (%)
’ 4
66.7%
‘ 2
33.3%
Geometric Shapes
ValueCountFrequency (%)
▷ 2
50.0%
○ 2
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

관리기관전화번호
Text

Distinct1510
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:23.553695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.924348
Min length3

Characters and Unicode

Total characters27426
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

Unique1024 ?
Unique (%)44.5%

Sample

1st row061-350-5226
2nd row061-350-5226
3rd row042-930-7332
4th row042-274-0016
5th row042-821-6042
ValueCountFrequency (%)
064-710-3323 62
 
2.7%
033-640-5117 21
 
0.9%
033-640-5584 20
 
0.9%
031-940-4355 17
 
0.7%
02-3396-4606 14
 
0.6%
02-2199-7248 12
 
0.5%
02-3423-5948 12
 
0.5%
033-560-2549 10
 
0.4%
031-590-2478 9
 
0.4%
031-481-3034 9
 
0.4%
Other values (1500) 2114
91.9%
2024-05-11T16:47:24.418704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4703
17.1%
- 4585
16.7%
3 3222
11.7%
2 2402
8.8%
5 2175
7.9%
1 2152
7.8%
4 2105
7.7%
6 1975
7.2%
7 1616
 
5.9%
8 1454
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22841
83.3%
Dash Punctuation 4585
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4703
20.6%
3 3222
14.1%
2 2402
10.5%
5 2175
9.5%
1 2152
9.4%
4 2105
9.2%
6 1975
8.6%
7 1616
 
7.1%
8 1454
 
6.4%
9 1037
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 4585
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4703
17.1%
- 4585
16.7%
3 3222
11.7%
2 2402
8.8%
5 2175
7.9%
1 2152
7.8%
4 2105
7.7%
6 1975
7.2%
7 1616
 
5.9%
8 1454
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4703
17.1%
- 4585
16.7%
3 3222
11.7%
2 2402
8.8%
5 2175
7.9%
1 2152
7.8%
4 2105
7.7%
6 1975
7.2%
7 1616
 
5.9%
8 1454
 
5.3%

관리기관명
Text

Distinct1439
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:24.917740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.5169565
Min length2

Characters and Unicode

Total characters19589
Distinct characters499
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1051 ?
Unique (%)45.7%

Sample

1st row영광군
2nd row영광군
3rd row한국수자원공사
4th row옛터민속박물관
5th row충남대학교
ValueCountFrequency (%)
경기도 106
 
3.1%
전라남도 79
 
2.3%
강원특별자치도 76
 
2.3%
서울특별시 74
 
2.2%
제주특별자치도 70
 
2.1%
문화예술과 67
 
2.0%
경상남도 64
 
1.9%
문화정책과 64
 
1.9%
강원도 59
 
1.8%
충청남도 54
 
1.6%
Other values (1498) 2654
78.8%
2024-05-11T16:47:25.798627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1070
 
5.5%
관 960
 
4.9%
도 761
 
3.9%
청 675
 
3.4%
시 610
 
3.1%
물 525
 
2.7%
박 523
 
2.7%
화 425
 
2.2%
술 398
 
2.0%
문 395
 
2.0%
Other values (489) 13247
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18143
92.6%
Space Separator 1070
 
5.5%
Close Punctuation 123
 
0.6%
Open Punctuation 120
 
0.6%
Uppercase Letter 59
 
0.3%
Other Symbol 33
 
0.2%
Decimal Number 20
 
0.1%
Other Punctuation 14
 
0.1%
Math Symbol 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 960
 
5.3%
도 761
 
4.2%
청 675
 
3.7%
시 610
 
3.4%
물 525
 
2.9%
박 523
 
2.9%
화 425
 
2.3%
술 398
 
2.2%
문 395
 
2.2%
군 347
 
1.9%
Other values (449) 12524
69.0%
Uppercase Letter
ValueCountFrequency (%)
C 10
16.9%
K 9
15.3%
T 5
8.5%
M 4
 
6.8%
G 4
 
6.8%
S 4
 
6.8%
A 4
 
6.8%
I 3
 
5.1%
O 3
 
5.1%
U 2
 
3.4%
Other values (9) 11
18.6%
Decimal Number
ValueCountFrequency (%)
5 4
20.0%
3 4
20.0%
6 4
20.0%
1 2
10.0%
0 2
10.0%
2 2
10.0%
7 1
 
5.0%
4 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 5
35.7%
. 4
28.6%
· 2
 
14.3%
/ 2
 
14.3%
: 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
1070
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18176
92.8%
Common 1352
 
6.9%
Latin 61
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 960
 
5.3%
도 761
 
4.2%
청 675
 
3.7%
시 610
 
3.4%
물 525
 
2.9%
박 523
 
2.9%
화 425
 
2.3%
술 398
 
2.2%
문 395
 
2.2%
군 347
 
1.9%
Other values (450) 12557
69.1%
Latin
ValueCountFrequency (%)
C 10
16.4%
K 9
14.8%
T 5
 
8.2%
M 4
 
6.6%
G 4
 
6.6%
S 4
 
6.6%
A 4
 
6.6%
I 3
 
4.9%
O 3
 
4.9%
U 2
 
3.3%
Other values (11) 13
21.3%
Common
ValueCountFrequency (%)
1070
79.1%
) 123
 
9.1%
( 120
 
8.9%
& 5
 
0.4%
5 4
 
0.3%
3 4
 
0.3%
6 4
 
0.3%
. 4
 
0.3%
+ 3
 
0.2%
· 2
 
0.1%
Other values (8) 13
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18143
92.6%
ASCII 1411
 
7.2%
None 35
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1070
75.8%
) 123
 
8.7%
( 120
 
8.5%
C 10
 
0.7%
K 9
 
0.6%
T 5
 
0.4%
& 5
 
0.4%
M 4
 
0.3%
5 4
 
0.3%
3 4
 
0.3%
Other values (28) 57
 
4.0%
Hangul
ValueCountFrequency (%)
관 960
 
5.3%
도 761
 
4.2%
청 675
 
3.7%
시 610
 
3.4%
물 525
 
2.9%
박 523
 
2.9%
화 425
 
2.3%
술 398
 
2.2%
문 395
 
2.2%
군 347
 
1.9%
Other values (449) 12524
69.0%
None
ValueCountFrequency (%)
㈜ 33
94.3%
· 2
 
5.7%

데이터기준일자
Date

Distinct176
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2018-05-15 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T16:47:26.140519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:47:26.514185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct243
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:27.089039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters16100
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)2.9%

Sample

1st row4970000
2nd row4970000
3rd row6300000
4th row6300000
5th row6300000
ValueCountFrequency (%)
1371000 1205
52.4%
6500000 62
 
2.7%
3000000 54
 
2.3%
4271000 23
 
1.0%
4640000 22
 
1.0%
4641000 22
 
1.0%
4270000 22
 
1.0%
4201000 21
 
0.9%
6300000 20
 
0.9%
4200000 20
 
0.9%
Other values (233) 829
36.0%
2024-05-11T16:47:28.083704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8281
51.4%
1 2750
 
17.1%
3 1720
 
10.7%
7 1392
 
8.6%
4 675
 
4.2%
5 431
 
2.7%
6 286
 
1.8%
2 279
 
1.7%
9 169
 
1.0%
8 114
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16097
> 99.9%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8281
51.4%
1 2750
 
17.1%
3 1720
 
10.7%
7 1392
 
8.6%
4 675
 
4.2%
5 431
 
2.7%
6 286
 
1.8%
2 279
 
1.7%
9 169
 
1.0%
8 114
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16097
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8281
51.4%
1 2750
 
17.1%
3 1720
 
10.7%
7 1392
 
8.6%
4 675
 
4.2%
5 431
 
2.7%
6 286
 
1.8%
2 279
 
1.7%
9 169
 
1.0%
8 114
 
0.7%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8281
51.4%
1 2750
 
17.1%
3 1720
 
10.7%
7 1392
 
8.6%
4 675
 
4.2%
5 431
 
2.7%
6 286
 
1.8%
2 279
 
1.7%
9 169
 
1.0%
8 114
 
0.7%

제공기관명
Text

Distinct243
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-11T16:47:28.739886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length7
Mean length7.5313043
Min length4

Characters and Unicode

Total characters17322
Distinct characters137
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

Unique66 ?
Unique (%)2.9%

Sample

1st row전라남도 영광군
2nd row전라남도 영광군
3rd row대전광역시
4th row대전광역시
5th row대전광역시
ValueCountFrequency (%)
문화체육관광부 1205
37.0%
경기도 152
 
4.7%
서울특별시 146
 
4.5%
강원도 98
 
3.0%
강원특별자치도 89
 
2.7%
전라남도 70
 
2.1%
경상북도 62
 
1.9%
제주특별자치도 62
 
1.9%
충청남도 56
 
1.7%
종로구 54
 
1.7%
Other values (196) 1267
38.9%
2024-05-11T16:47:29.825412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1375
 
7.9%
부 1267
 
7.3%
화 1225
 
7.1%
문 1215
 
7.0%
관 1212
 
7.0%
육 1207
 
7.0%
체 1205
 
7.0%
961
 
5.5%
도 813
 
4.7%
시 740
 
4.3%
Other values (127) 6102
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16361
94.5%
Space Separator 961
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1375
 
8.4%
부 1267
 
7.7%
화 1225
 
7.5%
문 1215
 
7.4%
관 1212
 
7.4%
육 1207
 
7.4%
체 1205
 
7.4%
도 813
 
5.0%
시 740
 
4.5%
특 355
 
2.2%
Other values (126) 5747
35.1%
Space Separator
ValueCountFrequency (%)
961
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16361
94.5%
Common 961
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1375
 
8.4%
부 1267
 
7.7%
화 1225
 
7.5%
문 1215
 
7.4%
관 1212
 
7.4%
육 1207
 
7.4%
체 1205
 
7.4%
도 813
 
5.0%
시 740
 
4.5%
특 355
 
2.2%
Other values (126) 5747
35.1%
Common
ValueCountFrequency (%)
961
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16361
94.5%
ASCII 961
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1375
 
8.4%
부 1267
 
7.7%
화 1225
 
7.5%
문 1215
 
7.4%
관 1212
 
7.4%
육 1207
 
7.4%
체 1205
 
7.4%
도 813
 
5.0%
시 740
 
4.5%
특 355
 
2.2%
Other values (126) 5747
35.1%
ASCII
ValueCountFrequency (%)
961
100.0%

Sample

시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0수다라성보박물관사립전라남도 영광군 불갑면 불갑사로 450전라남도 영광군 불갑면 모악리 835.199675126.550046061-352-8097대한불교조계종불갑사<NA>해당없음09:0017:0009:0017:00매주 월요일000전체무료불교 관련 전적, 불화, 공예품 전시버스이용061-350-5226영광군2021-09-164970000전라남도 영광군
1우리삶문화옥당박물관사립전라남도 영광군 백수읍 대신길3길 3전라남도 영광군 백수읍 대신리 3635.360688126.40266070-7011-6887재단법인 원불교<NA>해당없음10:0017:0010:0017:00매주 월요일000전체무료고고학, 민속유물, 인물 전시버스이용061-350-5226영광군2021-09-164970000전라남도 영광군
2대청댐물문화관사립대전광역시 대덕구 대청로 618-136대전광역시 대덕구 미호동 1-536.474483127.481511042-930-7332한국수자원공사없음없음10:0017:0010:0017:00매주월요일,1월1일,설날추석당일000무료- 대청댐 물문화관은 수(水)자원에 대한 관심과 흥미를 유발시키며, 수자원에 대한 소중함을 알리고 인식을 높이기 위해 대청댐에 만들어진 시설이다. - 대청댐의 역할과 기능을 알리고, 물의 소중함을 보여주는 제1전시관, 대청호와 금강에 사는 생물의 서식환경을 소개하는 제2전시관, 대청댐 건설로 인해 사라진 대청호 사람들의 삶과 문화를 기록·재현하는 제3전시관을 운영하고 있다.- 버스 : 72, 73042-930-7332한국수자원공사2020-12-156300000대전광역시
3옛터민속박물관사립대전광역시 동구 산내로 321-35대전광역시 동구 하소동 361-336.215141127.440844042-274-0016옛터민속박물관www.yetermuseum.com식당 및 카페10:0017:3010:0017:30연중무휴000무료- 옛터민속박물관은 생활사 전반의 민속유물을 수집·보존·연구·전시·교육하는 기관으로 점차 소멸되어 가는 전통문화를 재조명하고 대중에게 소개하기 위해 운영하고 있는 박물관이다. - 연1~2회 특별전을 개최하여 다양한 민속유물을 공개하고 있으며 다양한 강좌·체험 프로그램을 운영하고 있다.- 버스 : 501042-274-0016옛터민속박물관2020-12-156300000대전광역시
4충남대학교 박물관대학대전광역시 유성구 대학로 99대전광역시 유성구 궁동 22036.368368127.342042-821-6042충남대학교http://museum.cnu.ac.kr/없음10:0017:0010:0017:00토, 일, 공휴일, 개교기념일000무료- 충남대학교박물관은 1968년 4월 28일에 설립되어 다양한 역사문화자료를 수집, 보관, 전시함으로써 학술연구 및 교육문화발전에 힘써오고 있다. - 박물관 1층에 상설전시실이 운영 중에 있으며 다양한 발굴조사를 통해 수집된 유물들이 전시 되어 있으며, 충남대학교의 역사와 관련된 학교사 자료도 전시 되어있다. 그 외에 박물관대학 등 교육 강좌를 운영 중에 있다.- 버스 : 111-1, 140, 222042-821-6042충남대학교2020-12-156300000대전광역시
5충남대학교 자연사박물관대학대전광역시 유성구 대학로 99대전광역시 유성구 궁동 22036.368368127.342042-821-5292충남대학교nhm.cnu.ac.kr없음10:0017:0010:0017:00공휴일000무료NAME?- 버스 : 111-1, 140, 222042-821-5292충남대학교2020-12-156300000대전광역시
6울산박물관공립울산광역시 남구 두왕로 277울산광역시 남구 신정동 188835.527136129.308693052-229-4766울산광역시청http://www.ulsan.go.kr/s/museum주차장+수유실+도서관 등09:0018:0009:0018:00매주 월+1월1일0000울산의 역사와 문화를 보여주는 울산의 대표 박물관이다. 역사실, 산업사실로 구성된 상설전시실과 어린이박물관, 실감영상관, 기획전시실로 구성되어 있다. 매년 울산의 역사, 문화, 산업 등을 주제로 한 전시와 교육 및 문화행사를 운영하고 있다.- 일반버스 124, 205, 225, 527, 715번 : 울산박물관·울산대공원동문앞 하차- 일반버스 106, 216번 : 올림푸스아파트앞 하차, 울산박물관까지 도보 11분- 일반버스 714, 824번 : 공업탑 하차, 울산박물관까지 도보 13분052-229-4766울산광역시2023-11-026310000울산광역시
7울산대곡박물관공립울산광역시 울주군 두동면서하천전로 257울산광역시 울주군 두동면 천전리 30735.619098129.169189052-229-6638울산광역시청https://www.ulsan.go.kr/s/dgmuseum/main.ulsan주차장+휠체어 제공 등09:0018:0009:0018:00매주 월+1월1일0000울산대곡박물관은 울산 시민의 식수원 확보를 위한 대곡댐 건설로 인해 건립된 박물관으로, 대곡댐 편입부지 발굴성과와 서부 울산지역 ’언양문화권’ 역사 문화를 전시하고 있습니다.348번 버스 등(자세한 사항은 홈페이지 내 ’오시는 길’ 참고)052-229-6638울산광역시2023-11-026310000울산광역시
8울산약사제방유적전시관공립울산광역시 중구 종가14길 22-28울산광역시 중구 약사동 917-135.576256129.336972052-229-4729울산광역시청http://www.ulsan.go.kr/s/museum/contents.ulsan?mId=001010001000000000장애인 화장실+음수대 등09:0018:0009:0018:00매주 월+1월 1일0000약사동제방유적전시관은 울산 약사동 제방(사적)을 소개하고 고대 제방 연구와 역사적인 가치를 알리기 위하여 2017년 5월 24일에 개관하였다. 전시관 1층은 전시 공간으로 운영하고 있으며, 제방의 토층 전사를 전시하는 제방전시실, 제방 인근 약사동의 역사를 알 수 있는 유물과 농기구 등을 전시하는 테마전시실로 구성되어 있다.2층은 어린이 체험전시실로 제방꼽기체험, 영상, VR(가상현실)체험, 동작감지체험, 퍼즐, 블럭, 도서공간 등이 마련되어 있다.- 일반버스 431, 847, 207, 847약사동제방전시관(11431) 하차 후 도보 10분- 일반버스 147, 216, 422, 147, 216혜인학교(30907) 하차 후 도보 5분052-229-4729울산광역시2023-11-026310000울산광역시
9울산암각화박물관공립울산광역시 울주군 두동면반구대안길 254울산광역시 울주군 두동면 천전리 333-135.608061129.170554052-229-6678울산광역시청https://www.ulsan.go.kr/s/bangudae/main.ulsan세미나실+회의실09:0018:0009:0018:00매주 월0000국보 제285호인 울주 대곡리의 반구대 암각화와 천전리의 암각화를 소개하고 국내 암각화연구의 중추적인 역할을 담당하기 위해 개관대중교통 348번버스삼남신화 출발시간 : 10시20분, 12시55분, 17시55분 (암각화박물관까지 약 50분 소요)울산역 출발시간 : 10시25분, 13시, 18시대곡박물관 출발시간 : 11시25분, 14시, 19시암각화박물관 출발예정시간 : 11시35분, 14시10분, 19시10분, (종점까지 약 1시간 소요)자가용경부고속도로 서울산IC35번국도 경주방면 → 반구대암각화진입로 → 울산암각화박물관울산밀양 24번 국도경주방향 → 35번국도 경주방면 → 반구대암각화진입로 → 울산암각화박물관경주 35번국도언양방향 → 반구대암각화진입로 → 울산암각화박물관052-229-6678울산광역시2023-11-026310000울산광역시
시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
2290산청한의학박물관공립경상남도 산청군 금서면 동의보감로555번길 45-6경상남도 산청군 금서면 특리 130035.441066127.829361055-970-7216경상남도 산청군청 한방항노화과http://donguibogam-village.sancheong.go.kr/수유실+장애인화장실09:0018:0009:0018:00월+1월1일+설당일+추석당일200015001000산청군거주자+만6세이하 어린이+만65세이상 노인+장애인 1~3급(보호자1인 포함)+국가유공자(배우자 1인 포함)+독립유공자+참전유공자+고엽제 후유의증환자+국민기초생활수급자+선관위발급 투표확인증 소지자+한부모가족전국최초 지방자치단체 한의학전문박물관산청읍-화계간 버스이용055-970-6633경상남도 산청군청2023-10-265450000경상남도 산청군
2291산청박물관공립경상남도 산청군 생초면 산수로 1064경상남도 산청군 생초면 어서리 78835.492329127.831739070-8990-2133경상남도 산청군청 문화체육과http://www.sancheong.go.kr/schmuseum<NA>09:0018:0009:0018:00월+1월1일+설당일+추석당일000무료<NA>산청읍-생초간 버스이용055-970-6413경상남도 산청군청2023-10-265450000경상남도 산청군
2292청량산박물관공립경상북도 봉화군 명호면 광석길 39경상북도 봉화군 명호면 관창리 1726-636.788082128.893878054-679-6672청량산도립공원관리사무소http://bonghwa.go.kr/open.content/mt/전망대+휠체어+안내소09:0018:0009:0018:00월+법정공휴일000<NA>청량산박물관은 2004-06-11일 개관하여 청량산을 배경으로 한 문화유산과 자연환경, 지역 홍보자료를 한 곳에 모아 전시함으로써 봉화의 역사와 문화에 대한이해는 물론, 지역전통문화의 계승발전과 군민 정서함양의 계기를 마련하고 청량산을 찾는 사람들에게 유익한 탐방문화를 제공하여 자연체험의 산 교육장으로 활용함과 아울러 지역의 새로운 관광명소를 조성하고자 건립하였다봉화출발 일 4회+안동(67번)출발 일 5회054-679-6672경상북도 봉화군청2023-10-215240000경상북도 봉화군
2293충재유물관공립경상북도 봉화군 봉화읍 충재길 60경상북도 봉화군 봉화읍 유곡리 93436.905274128.742449054-674-0963(사)닭실문화유적보존회<NA>주차장10:0016:0010:0016:00월+설 연휴+추석 연휴+법정공휴일000<NA>2007년 개관한 충재박물관은 조선시대 유물 10,000여점과 484점의 보물을 소장한 박물관으로, 전통마을인 닭실마을(달실)에 위치하고 있다. 소장하고 있는 모든 유물은 이 마을의 종갓집 및 마을출신 자손들로부터 받은 것이다. 연간 20,000여 명의 관람객이 방문하고 있다. 주변문화재의 관리와 교육프로그램 등을 시행하면서 봉화지역의 박물관으로서의 역할을 다하고 있는 중이다.버스: 봉화읍에서 춘양 및 재산방면 완행버스 이용+택시 : 봉화버스정류장에서 약 6,000원 내외+자가용 : 봉화버스정류장에서 7분 거리054-679-6331경상북도 봉화군청2023-10-215240000경상북도 봉화군
2294재송역사박물관공립부산광역시 해운대구 재반로63번길 23부산광역시 해운대구 재송동 274-235.184636129.125195051-749-5972부산광역시 해운대구청<NA><NA>10:0017:0000:0000:00공휴일000<NA>재송동 역사박물관동해선 센텀역 3번 출구 하차051-749-5972부산광역시 해운대구청2023-10-183330000부산광역시 해운대구
2295조각보박물관사립부산광역시 해운대구 좌동순환로 25-1부산광역시 해운대구 좌동 1352-335.168694129.166195051-744-0026조각보박물관http://www.조각보박물관.kr/<NA>14:0016:0000:0000:00금 제외000금(사전예약)주천 김순향 조각보 박물관부산 지하철 중동역 10번 출구 하차051-744-0026조각보박물관2023-10-183330000부산광역시 해운대구
2296무비인더박스사립부산광역시 해운대구 해운대해변로209번길 8-3부산광역시 해운대구 우동 653-235.159334129.154308051-747-2153무비인더박스http://cafe.naver.com/mibmib<NA>10:0018:0010:0018:00월500050003000<NA>국내 최초 SF영화모형 전시관부산 지하철 2호선 동백역 하차051-747-2153무비인더박스2023-10-183330000부산광역시 해운대구
2297부산시립미술관공립부산광역시 해운대구 APEC로 58부산광역시 해운대구 우동 141335.166687129.1370270507-1404-260부산광역시art.busan.go.kr카페10:0018:0010:0018:00월200010001000<NA>각 장르별 미술작품 전시부산 지하철 2호선 벡스코역 하차0507-1404-260부산광역시2023-10-183330000부산광역시 해운대구
2298고은사진미술관사립부산광역시 해운대구 해운대로452번길 16부산광역시 해운대구 우동 1005-1735.163278129.141211051-746-0055고은문화재단http://www.goeunmuseum.kr/<NA>10:0018:0010:0018:00월+명절000<NA>해운대 소재 최초의 사진전문미술관수영 요트경기장 인근 버거킹 뒤051-746-0055고은문화재단2023-10-183330000부산광역시 해운대구
2299뮤지엄다사립부산광역시 해운대구 센텀서로 20부산광역시 해운대구 우동 1468-135.171321129.1289810507-1345-330뮤지엄다https://www.museumdah.com/<NA>10:0019:0010:0020:00연중무휴180001500013000장애인, 유공자, 단체 할인대중을 위한 예술, 대중이 체험하고 즐길 수 있는 예술 등을 소개부산 지하철 2호선 센텀시티역 하차0507-1345-330뮤지엄다2023-10-183330000부산광역시 해운대구

Duplicate rows

Most frequently occurring

시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명# duplicates
0부산광역시립미술관공립부산광역시 해운대구 APEC로 55부산광역시 해운대구 우동 141335.169064129.136018051-744-2602부산시립미술관 관리팀https://art.busan.go.kr/도서자료실+수유실+카페테리아+아트샵10:0018:0010:0018:001월 1일, 매주 월요일(월요일이 휴일인 경우, 화요일)000본관은 무료, 이우환공간 유료부산의 대표적인 미술문화공간도시철도 2호선 벡스코(시립미술관)역 5번출구, 버스 31, 39, 40, 63 등051-744-2602부산시립미술관2022-10-316260000부산광역시2
1부산현대미술관공립부산광역시 사하구 낙동남로 1191(하단동)부산광역시 사하구 하단동 1149-3735.109332128.942694051-220-7400부산현대미술관 관리팀https://www.busan.go.kr/moca갤러리카페+아트숍+모카이브+책그림섬+교육실+수유실10:0018:0010:0018:001.1 휴관매주 월요일 휴관000부산광역시립미술관 및 부산현대미술관 운영조례 제5조에 따름2018년 6월 15일 개관동시대 미술을 중심으로 하는 공립미술관지하철, 버스 등홈페이지 참조051-220-7400부산현대미술관2022-10-316260000부산광역시2