Overview

Dataset statistics

Number of variables28
Number of observations3797
Missing cells5036
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory860.4 KiB
Average record size in memory232.0 B

Variable types

Text11
Categorical5
DateTime4
Numeric8

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, 교육청
URLhttps://www.data.go.kr/data/15013109/standard.do

Alerts

도서관유형 is highly imbalanced (61.0%)Imbalance
공휴일운영시작시각 is highly imbalanced (69.6%)Imbalance
공휴일운영종료시각 is highly imbalanced (64.6%)Imbalance
운영기관명 has 737 (19.4%) missing valuesMissing
도서관전화번호 has 227 (6.0%) missing valuesMissing
부지면적 has 1757 (46.3%) missing valuesMissing
건물면적 has 463 (12.2%) missing valuesMissing
홈페이지주소 has 1362 (35.9%) missing valuesMissing
위도 has 245 (6.5%) missing valuesMissing
경도 has 245 (6.5%) missing valuesMissing
자료수(연속간행물) is highly skewed (γ1 = 42.07828623)Skewed
부지면적 is highly skewed (γ1 = 20.00528591)Skewed
건물면적 is highly skewed (γ1 = 33.46145242)Skewed
위도 is highly skewed (γ1 = 32.06032424)Skewed
경도 is highly skewed (γ1 = -37.7707923)Skewed
열람좌석수 has 78 (2.1%) zerosZeros
자료수(연속간행물) has 1653 (43.5%) zerosZeros
대출가능권수 has 325 (8.6%) zerosZeros
대출가능일수 has 341 (9.0%) zerosZeros

Reproduction

Analysis started2024-05-11 10:22:27.538216
Analysis finished2024-05-11 10:22:31.794110
Duration4.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

Distinct3306
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:32.303017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length8.5304188
Min length2

Characters and Unicode

Total characters32390
Distinct characters654
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2907 ?
Unique (%)76.6%

Sample

1st row가평군 한석봉도서관
2nd row가평군 설악도서관
3rd row가평군 청평도서관
4th row가평군 조종도서관
5th row구암도서관
ValueCountFrequency (%)
작은도서관 409
 
8.6%
도서관 83
 
1.8%
꿈꾸는 19
 
0.4%
중앙도서관 18
 
0.4%
마을문고 18
 
0.4%
공립 14
 
0.3%
문고 13
 
0.3%
작은 12
 
0.3%
북카페 12
 
0.3%
경상북도교육청 11
 
0.2%
Other values (3473) 4133
87.2%
2024-05-11T10:22:33.843315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 3693
 
11.4%
서 3639
 
11.2%
관 3594
 
11.1%
은 1843
 
5.7%
작 1794
 
5.5%
950
 
2.9%
동 526
 
1.6%
이 352
 
1.1%
마 300
 
0.9%
산 268
 
0.8%
Other values (644) 15431
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30782
95.0%
Space Separator 950
 
2.9%
Decimal Number 290
 
0.9%
Uppercase Letter 135
 
0.4%
Close Punctuation 66
 
0.2%
Open Punctuation 66
 
0.2%
Lowercase Letter 64
 
0.2%
Other Punctuation 18
 
0.1%
Dash Punctuation 13
 
< 0.1%
Final Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3693
 
12.0%
서 3639
 
11.8%
관 3594
 
11.7%
은 1843
 
6.0%
작 1794
 
5.8%
동 526
 
1.7%
이 352
 
1.1%
마 300
 
1.0%
산 268
 
0.9%
교 263
 
0.9%
Other values (586) 14510
47.1%
Uppercase Letter
ValueCountFrequency (%)
H 27
20.0%
L 25
18.5%
U 12
8.9%
B 10
 
7.4%
C 9
 
6.7%
S 6
 
4.4%
A 6
 
4.4%
P 5
 
3.7%
K 5
 
3.7%
I 5
 
3.7%
Other values (10) 25
18.5%
Lowercase Letter
ValueCountFrequency (%)
e 13
20.3%
o 12
18.8%
k 7
10.9%
i 5
 
7.8%
r 4
 
6.2%
a 3
 
4.7%
s 3
 
4.7%
t 3
 
4.7%
h 3
 
4.7%
g 2
 
3.1%
Other values (7) 9
14.1%
Decimal Number
ValueCountFrequency (%)
2 102
35.2%
1 93
32.1%
3 36
 
12.4%
4 21
 
7.2%
5 12
 
4.1%
7 11
 
3.8%
6 6
 
2.1%
0 4
 
1.4%
8 4
 
1.4%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 11
61.1%
? 2
 
11.1%
, 2
 
11.1%
& 2
 
11.1%
/ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
950
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30779
95.0%
Common 1409
 
4.4%
Latin 199
 
0.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3693
 
12.0%
서 3639
 
11.8%
관 3594
 
11.7%
은 1843
 
6.0%
작 1794
 
5.8%
동 526
 
1.7%
이 352
 
1.1%
마 300
 
1.0%
산 268
 
0.9%
교 263
 
0.9%
Other values (584) 14507
47.1%
Latin
ValueCountFrequency (%)
H 27
 
13.6%
L 25
 
12.6%
e 13
 
6.5%
o 12
 
6.0%
U 12
 
6.0%
B 10
 
5.0%
C 9
 
4.5%
k 7
 
3.5%
S 6
 
3.0%
A 6
 
3.0%
Other values (27) 72
36.2%
Common
ValueCountFrequency (%)
950
67.4%
2 102
 
7.2%
1 93
 
6.6%
) 66
 
4.7%
( 66
 
4.7%
3 36
 
2.6%
4 21
 
1.5%
- 13
 
0.9%
5 12
 
0.9%
7 11
 
0.8%
Other values (11) 39
 
2.8%
Han
ValueCountFrequency (%)
秀 2
66.7%
休 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30779
95.0%
ASCII 1602
 
4.9%
Punctuation 6
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 3693
 
12.0%
서 3639
 
11.8%
관 3594
 
11.7%
은 1843
 
6.0%
작 1794
 
5.8%
동 526
 
1.7%
이 352
 
1.1%
마 300
 
1.0%
산 268
 
0.9%
교 263
 
0.9%
Other values (584) 14507
47.1%
ASCII
ValueCountFrequency (%)
950
59.3%
2 102
 
6.4%
1 93
 
5.8%
) 66
 
4.1%
( 66
 
4.1%
3 36
 
2.2%
H 27
 
1.7%
L 25
 
1.6%
4 21
 
1.3%
- 13
 
0.8%
Other values (46) 203
 
12.7%
Punctuation
ValueCountFrequency (%)
’ 4
66.7%
‘ 2
33.3%
CJK
ValueCountFrequency (%)
秀 2
66.7%
休 1
33.3%

시도명
Categorical

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
서울특별시
547 
경기도
505 
경상남도
385 
광주광역시
331 
인천광역시
255 
Other values (14)
1774 

Length

Max length7
Median length5
Mean length4.5472742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row경기도
3rd row경기도
4th row경기도
5th row대전광역시

Common Values

ValueCountFrequency (%)
서울특별시 547
14.4%
경기도 505
13.3%
경상남도 385
10.1%
광주광역시 331
8.7%
인천광역시 255
 
6.7%
대구광역시 241
 
6.3%
전라북도 217
 
5.7%
부산광역시 198
 
5.2%
경상북도 161
 
4.2%
전라남도 153
 
4.0%
Other values (9) 804
21.2%

Length

2024-05-11T10:22:34.488634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 547
14.4%
경기도 505
13.3%
경상남도 385
10.1%
광주광역시 331
8.7%
인천광역시 255
 
6.7%
대구광역시 241
 
6.3%
전라북도 217
 
5.7%
부산광역시 198
 
5.2%
경상북도 161
 
4.2%
전라남도 153
 
4.0%
Other values (9) 804
21.2%

시군구명
Text

Distinct213
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:35.784010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length2.873321
Min length2

Characters and Unicode

Total characters10910
Distinct characters139
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.4%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row유성구
ValueCountFrequency (%)
서구 215
 
5.6%
남구 182
 
4.7%
중구 182
 
4.7%
북구 171
 
4.5%
동구 118
 
3.1%
창원시 83
 
2.2%
은평구 82
 
2.1%
전주시 82
 
2.1%
진주시 74
 
1.9%
양산시 71
 
1.9%
Other values (204) 2574
67.1%
2024-05-11T10:22:37.744832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1788
 
16.4%
시 1490
 
13.7%
군 702
 
6.4%
서 444
 
4.1%
주 356
 
3.3%
남 327
 
3.0%
성 263
 
2.4%
양 262
 
2.4%
동 247
 
2.3%
산 244
 
2.2%
Other values (129) 4787
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10840
99.4%
Space Separator 70
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1788
 
16.5%
시 1490
 
13.7%
군 702
 
6.5%
서 444
 
4.1%
주 356
 
3.3%
남 327
 
3.0%
성 263
 
2.4%
양 262
 
2.4%
동 247
 
2.3%
산 244
 
2.3%
Other values (127) 4717
43.5%
Space Separator
ValueCountFrequency (%)
37
52.9%
　 33
47.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10840
99.4%
Common 70
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1788
 
16.5%
시 1490
 
13.7%
군 702
 
6.5%
서 444
 
4.1%
주 356
 
3.3%
남 327
 
3.0%
성 263
 
2.4%
양 262
 
2.4%
동 247
 
2.3%
산 244
 
2.3%
Other values (127) 4717
43.5%
Common
ValueCountFrequency (%)
37
52.9%
　 33
47.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10840
99.4%
ASCII 37
 
0.3%
None 33
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1788
 
16.5%
시 1490
 
13.7%
군 702
 
6.5%
서 444
 
4.1%
주 356
 
3.3%
남 327
 
3.0%
성 263
 
2.4%
양 262
 
2.4%
동 247
 
2.3%
산 244
 
2.3%
Other values (127) 4717
43.5%
ASCII
ValueCountFrequency (%)
37
100.0%
None
ValueCountFrequency (%)
　 33
100.0%

도서관유형
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
작은도서관
2293 
공공도서관
1440 
어린이도서관
 
32
학교도서관
 
26
전문도서관
 
3
Other values (2)
 
3

Length

Max length6
Median length5
Mean length5.0089544
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
작은도서관 2293
60.4%
공공도서관 1440
37.9%
어린이도서관 32
 
0.8%
학교도서관 26
 
0.7%
전문도서관 3
 
0.1%
장애인도서관 2
 
0.1%
대학도서관 1
 
< 0.1%

Length

2024-05-11T10:22:38.392737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:22:38.854127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작은도서관 2293
60.4%
공공도서관 1440
37.9%
어린이도서관 32
 
0.8%
학교도서관 26
 
0.7%
전문도서관 3
 
0.1%
장애인도서관 2
 
0.1%
대학도서관 1
 
< 0.1%

휴관일
Text

Distinct550
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:39.368504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length75
Mean length11.48986
Min length1

Characters and Unicode

Total characters43627
Distinct characters173
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)6.8%

Sample

1st row1월 1일+설 연휴+추석연휴
2nd row1월 1일+설 연휴+추석연휴
3rd row1월 1일+설 연휴+추석연휴
4th row1월 1일+설 연휴+추석연휴
5th row일+공휴일
ValueCountFrequency (%)
공휴일 409
 
6.1%
토+일+공휴일 339
 
5.0%
법정공휴일 293
 
4.3%
매주 259
 
3.8%
토+일+법정공휴일 252
 
3.7%
주 203
 
3.0%
월+법정공휴일 135
 
2.0%
월+국가지정공휴일 133
 
2.0%
월요일 111
 
1.6%
제외한 106
 
1.6%
Other values (580) 4508
66.8%
2024-05-11T10:22:40.515763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 7411
17.0%
+ 4902
 
11.2%
휴 3817
 
8.7%
공 3537
 
8.1%
2970
 
6.8%
정 2484
 
5.7%
월 1884
 
4.3%
요 1597
 
3.7%
법 1368
 
3.1%
주 1157
 
2.7%
Other values (163) 12500
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34016
78.0%
Math Symbol 4921
 
11.3%
Space Separator 2970
 
6.8%
Decimal Number 624
 
1.4%
Other Punctuation 523
 
1.2%
Close Punctuation 303
 
0.7%
Open Punctuation 270
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 7411
21.8%
휴 3817
11.2%
공 3537
10.4%
정 2484
 
7.3%
월 1884
 
5.5%
요 1597
 
4.7%
법 1368
 
4.0%
주 1157
 
3.4%
토 1149
 
3.4%
지 1051
 
3.1%
Other values (140) 8561
25.2%
Decimal Number
ValueCountFrequency (%)
1 364
58.3%
2 108
 
17.3%
3 85
 
13.6%
0 23
 
3.7%
9 18
 
2.9%
5 10
 
1.6%
4 9
 
1.4%
7 4
 
0.6%
6 2
 
0.3%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 362
69.2%
. 76
 
14.5%
· 54
 
10.3%
/ 25
 
4.8%
: 4
 
0.8%
? 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 4902
99.6%
~ 19
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 285
94.1%
」 18
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 252
93.3%
「 18
 
6.7%
Space Separator
ValueCountFrequency (%)
2970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34016
78.0%
Common 9611
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 7411
21.8%
휴 3817
11.2%
공 3537
10.4%
정 2484
 
7.3%
월 1884
 
5.5%
요 1597
 
4.7%
법 1368
 
4.0%
주 1157
 
3.4%
토 1149
 
3.4%
지 1051
 
3.1%
Other values (140) 8561
25.2%
Common
ValueCountFrequency (%)
+ 4902
51.0%
2970
30.9%
1 364
 
3.8%
, 362
 
3.8%
) 285
 
3.0%
( 252
 
2.6%
2 108
 
1.1%
3 85
 
0.9%
. 76
 
0.8%
· 54
 
0.6%
Other values (13) 153
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34007
77.9%
ASCII 9521
 
21.8%
None 90
 
0.2%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 7411
21.8%
휴 3817
11.2%
공 3537
10.4%
정 2484
 
7.3%
월 1884
 
5.5%
요 1597
 
4.7%
법 1368
 
4.0%
주 1157
 
3.4%
토 1149
 
3.4%
지 1051
 
3.1%
Other values (139) 8552
25.1%
ASCII
ValueCountFrequency (%)
+ 4902
51.5%
2970
31.2%
1 364
 
3.8%
, 362
 
3.8%
) 285
 
3.0%
( 252
 
2.6%
2 108
 
1.1%
3 85
 
0.9%
. 76
 
0.8%
/ 25
 
0.3%
Other values (10) 92
 
1.0%
None
ValueCountFrequency (%)
· 54
60.0%
「 18
 
20.0%
」 18
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

평일운영시작시각
Date

Distinct32
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 19:00:00
2024-05-11T10:22:40.924330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:22:41.525040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

평일운영종료시각
Categorical

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
18:00
1813 
22:00
762 
17:00
390 
19:00
 
178
20:00
 
149
Other values (24)
505 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row22:00

Common Values

ValueCountFrequency (%)
18:00 1813
47.7%
22:00 762
20.1%
17:00 390
 
10.3%
19:00 178
 
4.7%
20:00 149
 
3.9%
23:00 134
 
3.5%
21:00 107
 
2.8%
17:30 61
 
1.6%
00:00 47
 
1.2%
16:00 46
 
1.2%
Other values (19) 110
 
2.9%

Length

2024-05-11T10:22:42.031890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 1813
47.7%
22:00 762
20.1%
17:00 390
 
10.3%
19:00 178
 
4.7%
20:00 149
 
3.9%
23:00 134
 
3.5%
21:00 107
 
2.8%
17:30 61
 
1.6%
00:00 47
 
1.2%
16:00 46
 
1.2%
Other values (19) 110
 
2.9%

토요일운영시작시각
Date

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 20:00:00
2024-05-11T10:22:42.434029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:22:42.916913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

토요일운영종료시각
Date

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 23:59:00
2024-05-11T10:22:43.387263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:22:43.921142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
00:00
2855 
09:00
556 
08:00
 
133
10:00
 
101
07:00
 
77
Other values (15)
 
75

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row07:00
2nd row07:00
3rd row07:00
4th row07:00
5th row08:00

Common Values

ValueCountFrequency (%)
00:00 2855
75.2%
09:00 556
 
14.6%
08:00 133
 
3.5%
10:00 101
 
2.7%
07:00 77
 
2.0%
13:00 17
 
0.4%
06:00 14
 
0.4%
14:00 10
 
0.3%
09:30 6
 
0.2%
01:00 6
 
0.2%
Other values (10) 22
 
0.6%

Length

2024-05-11T10:22:44.354022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 2855
75.2%
09:00 556
 
14.6%
08:00 133
 
3.5%
10:00 101
 
2.7%
07:00 77
 
2.0%
13:00 17
 
0.4%
06:00 14
 
0.4%
14:00 10
 
0.3%
09:30 6
 
0.2%
01:00 6
 
0.2%
Other values (10) 22
 
0.6%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
00:00
2790 
18:00
369 
17:00
 
186
22:00
 
166
23:00
 
80
Other values (17)
 
206

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row22:00

Common Values

ValueCountFrequency (%)
00:00 2790
73.5%
18:00 369
 
9.7%
17:00 186
 
4.9%
22:00 166
 
4.4%
23:00 80
 
2.1%
23:59 74
 
1.9%
20:00 26
 
0.7%
21:00 20
 
0.5%
16:00 18
 
0.5%
15:00 15
 
0.4%
Other values (12) 53
 
1.4%

Length

2024-05-11T10:22:44.818381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 2790
73.5%
18:00 369
 
9.7%
17:00 186
 
4.9%
22:00 166
 
4.4%
23:00 80
 
2.1%
23:59 74
 
1.9%
20:00 26
 
0.7%
21:00 20
 
0.5%
16:00 18
 
0.5%
15:00 15
 
0.4%
Other values (12) 53
 
1.4%

열람좌석수
Real number (ℝ)

ZEROS 

Distinct553
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.81248
Minimum0
Maximum4137
Zeros78
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:22:45.285399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q120
median39
Q3131
95-th percentile530
Maximum4137
Range4137
Interquartile range (IQR)111

Descriptive statistics

Standard deviation222.52052
Coefficient of variation (CV)1.7972381
Kurtosis64.456121
Mean123.81248
Median Absolute Deviation (MAD)24
Skewness5.6491565
Sum470116
Variance49515.381
MonotonicityNot monotonic
2024-05-11T10:22:45.800759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 323
 
8.5%
30 243
 
6.4%
40 140
 
3.7%
10 125
 
3.3%
50 123
 
3.2%
12 113
 
3.0%
24 94
 
2.5%
25 84
 
2.2%
15 84
 
2.2%
0 78
 
2.1%
Other values (543) 2390
62.9%
ValueCountFrequency (%)
0 78
2.1%
2 3
 
0.1%
3 1
 
< 0.1%
4 4
 
0.1%
5 2
 
0.1%
6 55
1.4%
7 4
 
0.1%
8 51
1.3%
9 10
 
0.3%
10 125
3.3%
ValueCountFrequency (%)
4137 1
< 0.1%
3989 1
< 0.1%
2640 1
< 0.1%
2081 1
< 0.1%
2000 1
< 0.1%
1600 1
< 0.1%
1566 1
< 0.1%
1431 1
< 0.1%
1421 1
< 0.1%
1405 1
< 0.1%

자료수(도서)
Text

Distinct3016
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:46.788359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length4.6333948
Min length1

Characters and Unicode

Total characters17593
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

Unique2654 ?
Unique (%)69.9%

Sample

1st row140341
2nd row77707
3rd row81120
4th row77327
5th row60080
ValueCountFrequency (%)
2000 49
 
1.3%
1000 43
 
1.1%
2500 38
 
1.0%
1500 37
 
1.0%
3000 29
 
0.8%
5000 26
 
0.7%
1200 26
 
0.7%
4000 22
 
0.6%
2300 12
 
0.3%
3200 11
 
0.3%
Other values (3006) 3504
92.3%
2024-05-11T10:22:48.413330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2720
15.5%
1 2521
14.3%
2 1950
11.1%
5 1652
9.4%
3 1529
8.7%
4 1519
8.6%
6 1505
8.6%
7 1450
8.2%
8 1450
8.2%
9 1296
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17592
> 99.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2720
15.5%
1 2521
14.3%
2 1950
11.1%
5 1652
9.4%
3 1529
8.7%
4 1519
8.6%
6 1505
8.6%
7 1450
8.2%
8 1450
8.2%
9 1296
7.4%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2720
15.5%
1 2521
14.3%
2 1950
11.1%
5 1652
9.4%
3 1529
8.7%
4 1519
8.6%
6 1505
8.6%
7 1450
8.2%
8 1450
8.2%
9 1296
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2720
15.5%
1 2521
14.3%
2 1950
11.1%
5 1652
9.4%
3 1529
8.7%
4 1519
8.6%
6 1505
8.6%
7 1450
8.2%
8 1450
8.2%
9 1296
7.4%

자료수(연속간행물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct227
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.620753
Minimum0
Maximum10517
Zeros1653
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:22:49.035823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile107.2
Maximum10517
Range10517
Interquartile range (IQR)28

Descriptive statistics

Standard deviation196.69816
Coefficient of variation (CV)6.4236879
Kurtosis2156.704
Mean30.620753
Median Absolute Deviation (MAD)3
Skewness42.078286
Sum116267
Variance38690.168
MonotonicityNot monotonic
2024-05-11T10:22:49.532919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1653
43.5%
2 109
 
2.9%
5 95
 
2.5%
1 89
 
2.3%
3 85
 
2.2%
8 79
 
2.1%
4 67
 
1.8%
10 63
 
1.7%
6 55
 
1.4%
7 46
 
1.2%
Other values (217) 1456
38.3%
ValueCountFrequency (%)
0 1653
43.5%
1 89
 
2.3%
2 109
 
2.9%
3 85
 
2.2%
4 67
 
1.8%
5 95
 
2.5%
6 55
 
1.4%
7 46
 
1.2%
8 79
 
2.1%
9 41
 
1.1%
ValueCountFrequency (%)
10517 1
< 0.1%
3397 1
< 0.1%
1726 1
< 0.1%
1632 1
< 0.1%
1580 1
< 0.1%
1529 1
< 0.1%
1293 1
< 0.1%
1210 1
< 0.1%
867 1
< 0.1%
804 1
< 0.1%

자료수(비도서)
Text

Distinct1117
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:50.445879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.9899921
Min length1

Characters and Unicode

Total characters7556
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

Unique903 ?
Unique (%)23.8%

Sample

1st row5536
2nd row1581
3rd row1546
4th row1972
5th row0
ValueCountFrequency (%)
0 2282
60.1%
2 29
 
0.8%
10 15
 
0.4%
50 14
 
0.4%
1 14
 
0.4%
30 13
 
0.3%
3 10
 
0.3%
20 9
 
0.2%
5 8
 
0.2%
150 7
 
0.2%
Other values (1107) 1396
36.8%
2024-05-11T10:22:51.808053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2791
36.9%
1 796
 
10.5%
2 663
 
8.8%
3 566
 
7.5%
5 517
 
6.8%
4 502
 
6.6%
7 475
 
6.3%
6 464
 
6.1%
8 399
 
5.3%
9 382
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7555
> 99.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2791
36.9%
1 796
 
10.5%
2 663
 
8.8%
3 566
 
7.5%
5 517
 
6.8%
4 502
 
6.6%
7 475
 
6.3%
6 464
 
6.1%
8 399
 
5.3%
9 382
 
5.1%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7556
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2791
36.9%
1 796
 
10.5%
2 663
 
8.8%
3 566
 
7.5%
5 517
 
6.8%
4 502
 
6.6%
7 475
 
6.3%
6 464
 
6.1%
8 399
 
5.3%
9 382
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7556
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2791
36.9%
1 796
 
10.5%
2 663
 
8.8%
3 566
 
7.5%
5 517
 
6.8%
4 502
 
6.6%
7 475
 
6.3%
6 464
 
6.1%
8 399
 
5.3%
9 382
 
5.1%

대출가능권수
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.86858
Minimum0
Maximum206395
Zeros325
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:22:52.327979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37
95-th percentile20
Maximum206395
Range206395
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7137.2831
Coefficient of variation (CV)12.058898
Kurtosis393.90937
Mean591.86858
Median Absolute Deviation (MAD)2
Skewness18.408369
Sum2247325
Variance50940810
MonotonicityNot monotonic
2024-05-11T10:22:52.747536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1491
39.3%
3 599
15.8%
10 512
 
13.5%
7 326
 
8.6%
0 325
 
8.6%
2 183
 
4.8%
6 93
 
2.4%
20 57
 
1.5%
99 22
 
0.6%
4 22
 
0.6%
Other values (113) 167
 
4.4%
ValueCountFrequency (%)
0 325
 
8.6%
1 3
 
0.1%
2 183
 
4.8%
3 599
15.8%
4 22
 
0.6%
5 1491
39.3%
6 93
 
2.4%
7 326
 
8.6%
8 3
 
0.1%
9 6
 
0.2%
ValueCountFrequency (%)
206395 1
< 0.1%
161272 1
< 0.1%
149538 1
< 0.1%
139918 1
< 0.1%
112091 1
< 0.1%
101978 1
< 0.1%
93508 1
< 0.1%
90911 1
< 0.1%
90699 1
< 0.1%
76111 1
< 0.1%

대출가능일수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.188833
Minimum0
Maximum718
Zeros341
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:22:53.231176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median14
Q314
95-th percentile17
Maximum718
Range718
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.035129
Coefficient of variation (CV)1.9053807
Kurtosis406.08526
Mean14.188833
Median Absolute Deviation (MAD)0
Skewness18.206274
Sum53875
Variance730.89821
MonotonicityNot monotonic
2024-05-11T10:22:53.803466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
14 2296
60.5%
15 445
 
11.7%
7 438
 
11.5%
0 341
 
9.0%
21 90
 
2.4%
10 56
 
1.5%
17 36
 
0.9%
20 34
 
0.9%
99 21
 
0.6%
3 7
 
0.2%
Other values (14) 33
 
0.9%
ValueCountFrequency (%)
0 341
 
9.0%
3 7
 
0.2%
5 6
 
0.2%
7 438
 
11.5%
8 4
 
0.1%
10 56
 
1.5%
14 2296
60.5%
15 445
 
11.7%
17 36
 
0.9%
20 34
 
0.9%
ValueCountFrequency (%)
718 1
 
< 0.1%
717 2
 
0.1%
365 1
 
< 0.1%
334 4
 
0.1%
299 2
 
0.1%
286 3
 
0.1%
260 2
 
0.1%
99 21
0.6%
60 1
 
< 0.1%
30 4
 
0.1%

소재지도로명주소
Text

Distinct3625
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:22:54.619368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length22.828285
Min length8

Characters and Unicode

Total characters86679
Distinct characters543
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

Unique3469 ?
Unique (%)91.4%

Sample

1st row경기도 가평군 가평읍 문화로 187
2nd row경기도 가평군 설악면 자잠로 65 가평설악도서관
3rd row경기도 가평군 청평면 은고개로 31
4th row경기도 가평군 조종면 조종희망로 26번길22
5th row대전광역시 유성구 유성대로626번길 57(구암동)
ValueCountFrequency (%)
경기도 504
 
2.8%
서울특별시 492
 
2.7%
경상남도 382
 
2.1%
광주광역시 331
 
1.8%
인천광역시 255
 
1.4%
대구광역시 242
 
1.3%
전라북도 217
 
1.2%
서구 215
 
1.2%
남구 203
 
1.1%
북구 199
 
1.1%
Other values (6126) 15018
83.2%
2024-05-11T10:22:55.932897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14262
 
16.5%
시 3345
 
3.9%
로 3244
 
3.7%
1 2899
 
3.3%
구 2634
 
3.0%
도 2162
 
2.5%
2 2059
 
2.4%
동 1903
 
2.2%
길 1784
 
2.1%
광 1763
 
2.0%
Other values (533) 50624
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55280
63.8%
Space Separator 14262
 
16.5%
Decimal Number 13452
 
15.5%
Open Punctuation 1270
 
1.5%
Close Punctuation 1266
 
1.5%
Dash Punctuation 626
 
0.7%
Other Punctuation 470
 
0.5%
Uppercase Letter 40
 
< 0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3345
 
6.1%
로 3244
 
5.9%
구 2634
 
4.8%
도 2162
 
3.9%
동 1903
 
3.4%
길 1784
 
3.2%
광 1763
 
3.2%
역 1326
 
2.4%
남 1253
 
2.3%
서 1217
 
2.2%
Other values (498) 34649
62.7%
Uppercase Letter
ValueCountFrequency (%)
L 10
25.0%
H 9
22.5%
B 7
17.5%
A 3
 
7.5%
C 2
 
5.0%
K 2
 
5.0%
S 2
 
5.0%
G 1
 
2.5%
Z 1
 
2.5%
U 1
 
2.5%
Other values (2) 2
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 2899
21.6%
2 2059
15.3%
3 1594
11.8%
4 1235
9.2%
5 1170
8.7%
6 1009
 
7.5%
7 951
 
7.1%
0 937
 
7.0%
8 809
 
6.0%
9 789
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 456
97.0%
@ 5
 
1.1%
. 4
 
0.9%
· 4
 
0.9%
? 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
66.7%
a 2
 
22.2%
s 1
 
11.1%
Space Separator
ValueCountFrequency (%)
14262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 626
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55280
63.8%
Common 31350
36.2%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3345
 
6.1%
로 3244
 
5.9%
구 2634
 
4.8%
도 2162
 
3.9%
동 1903
 
3.4%
길 1784
 
3.2%
광 1763
 
3.2%
역 1326
 
2.4%
남 1253
 
2.3%
서 1217
 
2.2%
Other values (498) 34649
62.7%
Common
ValueCountFrequency (%)
14262
45.5%
1 2899
 
9.2%
2 2059
 
6.6%
3 1594
 
5.1%
( 1270
 
4.1%
) 1266
 
4.0%
4 1235
 
3.9%
5 1170
 
3.7%
6 1009
 
3.2%
7 951
 
3.0%
Other values (10) 3635
 
11.6%
Latin
ValueCountFrequency (%)
L 10
20.4%
H 9
18.4%
B 7
14.3%
e 6
12.2%
A 3
 
6.1%
a 2
 
4.1%
C 2
 
4.1%
K 2
 
4.1%
S 2
 
4.1%
G 1
 
2.0%
Other values (5) 5
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55280
63.8%
ASCII 31395
36.2%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14262
45.4%
1 2899
 
9.2%
2 2059
 
6.6%
3 1594
 
5.1%
( 1270
 
4.0%
) 1266
 
4.0%
4 1235
 
3.9%
5 1170
 
3.7%
6 1009
 
3.2%
7 951
 
3.0%
Other values (24) 3680
 
11.7%
Hangul
ValueCountFrequency (%)
시 3345
 
6.1%
로 3244
 
5.9%
구 2634
 
4.8%
도 2162
 
3.9%
동 1903
 
3.4%
길 1784
 
3.2%
광 1763
 
3.2%
역 1326
 
2.4%
남 1253
 
2.3%
서 1217
 
2.2%
Other values (498) 34649
62.7%
None
ValueCountFrequency (%)
· 4
100.0%

운영기관명
Text

MISSING 

Distinct1318
Distinct (%)43.1%
Missing737
Missing (%)19.4%
Memory size29.8 KiB
2024-05-11T10:22:56.447378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length9.9405229
Min length2

Characters and Unicode

Total characters30418
Distinct characters496
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

Unique972 ?
Unique (%)31.8%

Sample

1st row경기도 가평군
2nd row경기도 가평군
3rd row경기도 가평군
4th row경기도 가평군
5th row대전광역시 유성구청
ValueCountFrequency (%)
경기도 310
 
5.9%
서울특별시 140
 
2.7%
경상북도 125
 
2.4%
경상남도 109
 
2.1%
전라북도 103
 
2.0%
강원도 75
 
1.4%
부산광역시 72
 
1.4%
평생학습원 69
 
1.3%
충청남도 68
 
1.3%
광주광역시 63
 
1.2%
Other values (1413) 4126
78.4%
2024-05-11T10:22:57.386907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2202
 
7.2%
도 1732
 
5.7%
시 1595
 
5.2%
청 1567
 
5.2%
서 795
 
2.6%
구 710
 
2.3%
관 688
 
2.3%
경 647
 
2.1%
주 577
 
1.9%
광 551
 
1.8%
Other values (486) 19354
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27566
90.6%
Space Separator 2202
 
7.2%
Decimal Number 192
 
0.6%
Close Punctuation 167
 
0.5%
Open Punctuation 165
 
0.5%
Uppercase Letter 81
 
0.3%
Lowercase Letter 16
 
0.1%
Other Symbol 11
 
< 0.1%
Other Punctuation 10
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1732
 
6.3%
시 1595
 
5.8%
청 1567
 
5.7%
서 795
 
2.9%
구 710
 
2.6%
관 688
 
2.5%
경 647
 
2.3%
주 577
 
2.1%
광 551
 
2.0%
원 539
 
2.0%
Other values (440) 18165
65.9%
Uppercase Letter
ValueCountFrequency (%)
H 17
21.0%
L 15
18.5%
A 8
9.9%
C 7
8.6%
Y 7
8.6%
S 6
 
7.4%
P 5
 
6.2%
M 4
 
4.9%
T 2
 
2.5%
K 2
 
2.5%
Other values (6) 8
9.9%
Decimal Number
ValueCountFrequency (%)
1 67
34.9%
2 63
32.8%
3 22
 
11.5%
5 9
 
4.7%
4 9
 
4.7%
6 7
 
3.6%
7 5
 
2.6%
0 5
 
2.6%
8 4
 
2.1%
9 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
s 4
25.0%
o 2
12.5%
k 1
 
6.2%
g 1
 
6.2%
i 1
 
6.2%
h 1
 
6.2%
l 1
 
6.2%
a 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
/ 3
30.0%
· 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
72.7%
㈔ 3
 
27.3%
Space Separator
ValueCountFrequency (%)
2202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27577
90.7%
Common 2744
 
9.0%
Latin 97
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1732
 
6.3%
시 1595
 
5.8%
청 1567
 
5.7%
서 795
 
2.9%
구 710
 
2.6%
관 688
 
2.5%
경 647
 
2.3%
주 577
 
2.1%
광 551
 
2.0%
원 539
 
2.0%
Other values (442) 18176
65.9%
Latin
ValueCountFrequency (%)
H 17
17.5%
L 15
15.5%
A 8
 
8.2%
C 7
 
7.2%
Y 7
 
7.2%
S 6
 
6.2%
P 5
 
5.2%
e 4
 
4.1%
s 4
 
4.1%
M 4
 
4.1%
Other values (15) 20
20.6%
Common
ValueCountFrequency (%)
2202
80.2%
) 167
 
6.1%
( 165
 
6.0%
1 67
 
2.4%
2 63
 
2.3%
3 22
 
0.8%
5 9
 
0.3%
4 9
 
0.3%
6 7
 
0.3%
. 6
 
0.2%
Other values (9) 27
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27566
90.6%
ASCII 2838
 
9.3%
None 12
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2202
77.6%
) 167
 
5.9%
( 165
 
5.8%
1 67
 
2.4%
2 63
 
2.2%
3 22
 
0.8%
H 17
 
0.6%
L 15
 
0.5%
5 9
 
0.3%
4 9
 
0.3%
Other values (31) 102
 
3.6%
Hangul
ValueCountFrequency (%)
도 1732
 
6.3%
시 1595
 
5.8%
청 1567
 
5.7%
서 795
 
2.9%
구 710
 
2.6%
관 688
 
2.5%
경 647
 
2.3%
주 577
 
2.1%
광 551
 
2.0%
원 539
 
2.0%
Other values (440) 18165
65.9%
None
ValueCountFrequency (%)
㈜ 8
66.7%
㈔ 3
 
25.0%
· 1
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

도서관전화번호
Text

MISSING 

Distinct3230
Distinct (%)90.5%
Missing227
Missing (%)6.0%
Memory size29.8 KiB
2024-05-11T10:22:57.908773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.992157
Min length9

Characters and Unicode

Total characters42812
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

Unique2917 ?
Unique (%)81.7%

Sample

1st row031-580-4041
2nd row031-580-4313
3rd row031-580-4332
4th row031-580-4301
5th row042-611-6630
ValueCountFrequency (%)
00-000-0000 8
 
0.2%
000-000-0000 7
 
0.2%
063-454-5700 4
 
0.1%
063-640-3041 4
 
0.1%
032-000-0000 4
 
0.1%
062-350-4580 4
 
0.1%
063-454-5620 4
 
0.1%
02-995-4171 3
 
0.1%
054-730-6512 3
 
0.1%
061-379-3956 3
 
0.1%
Other values (3220) 3526
98.8%
2024-05-11T10:22:58.910687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7138
16.7%
0 6775
15.8%
2 4325
10.1%
3 4299
10.0%
5 3956
9.2%
6 3511
8.2%
1 3158
7.4%
4 2975
6.9%
7 2512
 
5.9%
8 2243
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35674
83.3%
Dash Punctuation 7138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6775
19.0%
2 4325
12.1%
3 4299
12.1%
5 3956
11.1%
6 3511
9.8%
1 3158
8.9%
4 2975
8.3%
7 2512
 
7.0%
8 2243
 
6.3%
9 1920
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 7138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7138
16.7%
0 6775
15.8%
2 4325
10.1%
3 4299
10.0%
5 3956
9.2%
6 3511
8.2%
1 3158
7.4%
4 2975
6.9%
7 2512
 
5.9%
8 2243
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7138
16.7%
0 6775
15.8%
2 4325
10.1%
3 4299
10.0%
5 3956
9.2%
6 3511
8.2%
1 3158
7.4%
4 2975
6.9%
7 2512
 
5.9%
8 2243
 
5.2%

부지면적
Real number (ℝ)

MISSING  SKEWED 

Distinct1515
Distinct (%)74.3%
Missing1757
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean5916.2497
Minimum0
Maximum946887.3
Zeros23
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:22:59.346194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.95
Q1258.75
median1315.8
Q33947.5
95-th percentile17438
Maximum946887.3
Range946887.3
Interquartile range (IQR)3688.75

Descriptive statistics

Standard deviation35064.681
Coefficient of variation (CV)5.9268427
Kurtosis462.42643
Mean5916.2497
Median Absolute Deviation (MAD)1182.8
Skewness20.005286
Sum12069149
Variance1.2295319 × 109
MonotonicityNot monotonic
2024-05-11T10:23:00.012820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
0.6%
100.0 14
 
0.4%
165.0 7
 
0.2%
99.0 7
 
0.2%
1500.0 7
 
0.2%
2000.0 6
 
0.2%
36.0 6
 
0.2%
60.0 6
 
0.2%
80.0 6
 
0.2%
1600.0 5
 
0.1%
Other values (1505) 1953
51.4%
(Missing) 1757
46.3%
ValueCountFrequency (%)
0.0 23
0.6%
1.169 2
 
0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
12.0 1
 
< 0.1%
13.0 1
 
< 0.1%
19.5 1
 
< 0.1%
24.0 1
 
< 0.1%
29.0 1
 
< 0.1%
ValueCountFrequency (%)
946887.3 1
< 0.1%
808600.0 1
< 0.1%
676190.0 1
< 0.1%
370891.0 1
< 0.1%
282284.0 1
< 0.1%
220400.0 1
< 0.1%
205193.0 1
< 0.1%
178199.0 1
< 0.1%
159095.0 1
< 0.1%
128580.0 1
< 0.1%

건물면적
Real number (ℝ)

MISSING  SKEWED 

Distinct2009
Distinct (%)60.3%
Missing463
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean1372.508
Minimum0
Maximum379100
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:23:00.462420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.895
Q194.48
median198.345
Q31280.75
95-th percentile4958
Maximum379100
Range379100
Interquartile range (IQR)1186.27

Descriptive statistics

Standard deviation8344.052
Coefficient of variation (CV)6.0794196
Kurtosis1360.4164
Mean1372.508
Median Absolute Deviation (MAD)148.345
Skewness33.461452
Sum4575941.6
Variance69623203
MonotonicityNot monotonic
2024-05-11T10:23:00.909612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 40
 
1.1%
66.0 33
 
0.9%
100.0 27
 
0.7%
50.0 23
 
0.6%
165.0 23
 
0.6%
40.0 20
 
0.5%
36.0 19
 
0.5%
99.0 19
 
0.5%
60.0 18
 
0.5%
90.0 18
 
0.5%
Other values (1999) 3094
81.5%
(Missing) 463
 
12.2%
ValueCountFrequency (%)
0.0 2
0.1%
5.0 1
< 0.1%
6.0 1
< 0.1%
7.0 1
< 0.1%
10.0 1
< 0.1%
12.0 1
< 0.1%
13.0 1
< 0.1%
16.0 1
< 0.1%
18.0 2
0.1%
19.5 1
< 0.1%
ValueCountFrequency (%)
379100.0 1
< 0.1%
180250.0 1
< 0.1%
143838.0 1
< 0.1%
95401.0 1
< 0.1%
90452.0 1
< 0.1%
86818.0 1
< 0.1%
22485.0 1
< 0.1%
19766.0 1
< 0.1%
19007.0 1
< 0.1%
16952.0 1
< 0.1%

홈페이지주소
Text

MISSING 

Distinct884
Distinct (%)36.3%
Missing1362
Missing (%)35.9%
Memory size29.8 KiB
2024-05-11T10:23:01.592985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length57
Mean length29.275975
Min length2

Characters and Unicode

Total characters71287
Distinct characters81
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

Unique668 ?
Unique (%)27.4%

Sample

1st rowwww.gaplib.go.kr
2nd rowwww.gaplib.go.kr
3rd rowwww.gaplib.go.kr
4th rowwww.gaplib.go.kr
5th rowhttp://lib.yuseong.go.kr/
ValueCountFrequency (%)
https://lib.yangsan.go.kr/ys/main.do 65
 
2.7%
http://lib.gimhae.go.kr 48
 
2.0%
http://phlib.pohang.go.kr 48
 
2.0%
http://lib.gunsan.go.kr 42
 
1.7%
http://lib.gwanak.go.kr 39
 
1.6%
http://lib.gangseo.seoul.kr 36
 
1.5%
www.bcl.go.kr 35
 
1.4%
www.nowonlib.kr 32
 
1.3%
http://lib.siheung.go.kr 32
 
1.3%
없음 29
 
1.2%
Other values (871) 2030
83.3%
2024-05-11T10:23:02.808450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7303
 
10.2%
/ 6524
 
9.2%
t 4774
 
6.7%
r 3914
 
5.5%
o 3833
 
5.4%
g 3605
 
5.1%
l 3445
 
4.8%
w 3380
 
4.7%
i 3357
 
4.7%
h 2855
 
4.0%
Other values (71) 28297
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52582
73.8%
Other Punctuation 16141
 
22.6%
Decimal Number 1959
 
2.7%
Uppercase Letter 343
 
0.5%
Math Symbol 131
 
0.2%
Other Letter 68
 
0.1%
Connector Punctuation 54
 
0.1%
Dash Punctuation 6
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4774
 
9.1%
r 3914
 
7.4%
o 3833
 
7.3%
g 3605
 
6.9%
l 3445
 
6.6%
w 3380
 
6.4%
i 3357
 
6.4%
h 2855
 
5.4%
b 2780
 
5.3%
p 2636
 
5.0%
Other values (15) 18003
34.2%
Uppercase Letter
ValueCountFrequency (%)
Y 65
19.0%
S 65
19.0%
M 52
15.2%
C 34
9.9%
O 33
9.6%
D 33
9.6%
I 28
8.2%
B 13
 
3.8%
N 4
 
1.2%
G 3
 
0.9%
Other values (12) 13
 
3.8%
Other Letter
ValueCountFrequency (%)
없 29
42.6%
음 29
42.6%
카 1
 
1.5%
버 1
 
1.5%
이 1
 
1.5%
네 1
 
1.5%
페 1
 
1.5%
도 1
 
1.5%
관 1
 
1.5%
서 1
 
1.5%
Other values (2) 2
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 745
38.0%
1 297
 
15.2%
4 190
 
9.7%
6 175
 
8.9%
8 132
 
6.7%
2 123
 
6.3%
3 111
 
5.7%
5 71
 
3.6%
7 58
 
3.0%
9 57
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 7303
45.2%
/ 6524
40.4%
: 2181
 
13.5%
? 119
 
0.7%
& 12
 
0.1%
@ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 131
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 52925
74.2%
Common 18294
 
25.7%
Hangul 68
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4774
 
9.0%
r 3914
 
7.4%
o 3833
 
7.2%
g 3605
 
6.8%
l 3445
 
6.5%
w 3380
 
6.4%
i 3357
 
6.3%
h 2855
 
5.4%
b 2780
 
5.3%
p 2636
 
5.0%
Other values (37) 18346
34.7%
Common
ValueCountFrequency (%)
. 7303
39.9%
/ 6524
35.7%
: 2181
 
11.9%
0 745
 
4.1%
1 297
 
1.6%
4 190
 
1.0%
6 175
 
1.0%
8 132
 
0.7%
= 131
 
0.7%
2 123
 
0.7%
Other values (12) 493
 
2.7%
Hangul
ValueCountFrequency (%)
없 29
42.6%
음 29
42.6%
카 1
 
1.5%
버 1
 
1.5%
이 1
 
1.5%
네 1
 
1.5%
페 1
 
1.5%
도 1
 
1.5%
관 1
 
1.5%
서 1
 
1.5%
Other values (2) 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71219
99.9%
Hangul 68
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7303
 
10.3%
/ 6524
 
9.2%
t 4774
 
6.7%
r 3914
 
5.5%
o 3833
 
5.4%
g 3605
 
5.1%
l 3445
 
4.8%
w 3380
 
4.7%
i 3357
 
4.7%
h 2855
 
4.0%
Other values (59) 28229
39.6%
Hangul
ValueCountFrequency (%)
없 29
42.6%
음 29
42.6%
카 1
 
1.5%
버 1
 
1.5%
이 1
 
1.5%
네 1
 
1.5%
페 1
 
1.5%
도 1
 
1.5%
관 1
 
1.5%
서 1
 
1.5%
Other values (2) 2
 
2.9%

위도
Real number (ℝ)

MISSING  SKEWED 

Distinct3267
Distinct (%)92.0%
Missing245
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean36.307038
Minimum33.226594
Maximum127.7231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:23:03.242069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.226594
5-th percentile34.956808
Q135.233504
median35.984167
Q337.478066
95-th percentile37.693749
Maximum127.7231
Range94.496506
Interquartile range (IQR)2.2445626

Descriptive statistics

Standard deviation1.885953
Coefficient of variation (CV)0.051944557
Kurtosis1554.4474
Mean36.307038
Median Absolute Deviation (MAD)0.85423766
Skewness32.060324
Sum128962.6
Variance3.5568188
MonotonicityNot monotonic
2024-05-11T10:23:03.742668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.62358838 4
 
0.1%
35.9730164 4
 
0.1%
35.1510165421 4
 
0.1%
35.96608858 4
 
0.1%
35.78943943 4
 
0.1%
37.6590072 3
 
0.1%
38.216681 2
 
0.1%
35.35325178 2
 
0.1%
35.42589138 2
 
0.1%
35.39972015 2
 
0.1%
Other values (3257) 3521
92.7%
(Missing) 245
 
6.5%
ValueCountFrequency (%)
33.22659364 1
< 0.1%
33.24174842 2
0.1%
33.24413745 2
0.1%
33.24438838 2
0.1%
33.24484755 2
0.1%
33.24968866 2
0.1%
33.25090559 2
0.1%
33.25141739 2
0.1%
33.25145567 2
0.1%
33.25343367 2
0.1%
ValueCountFrequency (%)
127.7231 1
< 0.1%
38.439136 1
< 0.1%
38.386494 1
< 0.1%
38.38083569 2
0.1%
38.28475841 2
0.1%
38.25874866 2
0.1%
38.2385182 2
0.1%
38.2374569 1
< 0.1%
38.22173047 2
0.1%
38.216681 2
0.1%

경도
Real number (ℝ)

MISSING  SKEWED 

Distinct3269
Distinct (%)92.0%
Missing245
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean127.56467
Minimum36.4877
Maximum130.90396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 KiB
2024-05-11T10:23:04.187210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.4877
5-th percentile126.62631
Q1126.894
median127.13046
Q3128.52658
95-th percentile129.26003
Maximum130.90396
Range94.416263
Interquartile range (IQR)1.6325806

Descriptive statistics

Standard deviation1.7780861
Coefficient of variation (CV)0.013938703
Kurtosis1938.9479
Mean127.56467
Median Absolute Deviation (MAD)0.39095295
Skewness-37.770792
Sum453109.72
Variance3.1615901
MonotonicityNot monotonic
2024-05-11T10:23:04.594807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0687815 4
 
0.1%
126.7113646 4
 
0.1%
126.9088145662 4
 
0.1%
126.6843977 4
 
0.1%
127.0494699 3
 
0.1%
127.4221953 3
 
0.1%
126.7532056 2
 
0.1%
127.2141288 2
 
0.1%
127.4082959 2
 
0.1%
127.3677296 2
 
0.1%
Other values (3259) 3522
92.8%
(Missing) 245
 
6.5%
ValueCountFrequency (%)
36.4877 1
< 0.1%
124.6955698 1
< 0.1%
124.7196892 1
< 0.1%
125.4426134 1
< 0.1%
125.7048912 1
< 0.1%
125.7913417 1
< 0.1%
125.953950918 1
< 0.1%
126.007679 1
< 0.1%
126.1467783 1
< 0.1%
126.1845312 2
0.1%
ValueCountFrequency (%)
130.903963 1
< 0.1%
129.561794 1
< 0.1%
129.552574 1
< 0.1%
129.550265 1
< 0.1%
129.5181307 1
< 0.1%
129.4931251 1
< 0.1%
129.4518046 1
< 0.1%
129.4438282 1
< 0.1%
129.4421414 1
< 0.1%
129.437494 1
< 0.1%

데이터기준일자
Date

Distinct162
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
Minimum2018-05-01 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T10:23:05.001673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:23:05.429145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct334
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:23:06.181542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters26579
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

Unique96 ?
Unique (%)2.5%

Sample

1st row4160000
2nd row4160000
3rd row4160000
4th row4160000
5th row3670000
ValueCountFrequency (%)
3620000 102
 
2.7%
3600000 83
 
2.2%
3110000 82
 
2.2%
3610000 80
 
2.1%
5670000 78
 
2.1%
5310000 73
 
1.9%
5380000 70
 
1.8%
3560000 69
 
1.8%
6280000 64
 
1.7%
3450000 54
 
1.4%
Other values (324) 3042
80.1%
2024-05-11T10:23:07.314146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15698
59.1%
3 2638
 
9.9%
4 1706
 
6.4%
5 1344
 
5.1%
1 1209
 
4.5%
6 1160
 
4.4%
2 813
 
3.1%
7 709
 
2.7%
8 708
 
2.7%
9 592
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26577
> 99.9%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15698
59.1%
3 2638
 
9.9%
4 1706
 
6.4%
5 1344
 
5.1%
1 1209
 
4.5%
6 1160
 
4.4%
2 813
 
3.1%
7 709
 
2.7%
8 708
 
2.7%
9 592
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26577
> 99.9%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15698
59.1%
3 2638
 
9.9%
4 1706
 
6.4%
5 1344
 
5.1%
1 1209
 
4.5%
6 1160
 
4.4%
2 813
 
3.1%
7 709
 
2.7%
8 708
 
2.7%
9 592
 
2.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15698
59.1%
3 2638
 
9.9%
4 1706
 
6.4%
5 1344
 
5.1%
1 1209
 
4.5%
6 1160
 
4.4%
2 813
 
3.1%
7 709
 
2.7%
8 708
 
2.7%
9 592
 
2.2%

제공기관명
Text

Distinct334
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-05-11T10:23:08.034934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length8.4274427
Min length4

Characters and Unicode

Total characters31999
Distinct characters153
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

Unique96 ?
Unique (%)2.5%

Sample

1st row경기도 가평군
2nd row경기도 가평군
3rd row경기도 가평군
4th row경기도 가평군
5th row대전광역시 유성구
ValueCountFrequency (%)
서울특별시 546
 
7.5%
경기도 494
 
6.8%
경상남도 358
 
4.9%
광주광역시 324
 
4.4%
인천광역시 247
 
3.4%
대구광역시 237
 
3.2%
부산광역시 198
 
2.7%
서구 196
 
2.7%
남구 175
 
2.4%
중구 173
 
2.4%
Other values (286) 4365
59.7%
2024-05-11T10:23:09.543882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3516
 
11.0%
시 3196
 
10.0%
도 2088
 
6.5%
구 1907
 
6.0%
광 1683
 
5.3%
역 1286
 
4.0%
경 1111
 
3.5%
서 949
 
3.0%
남 949
 
3.0%
특 892
 
2.8%
Other values (143) 14422
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28483
89.0%
Space Separator 3516
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3196
 
11.2%
도 2088
 
7.3%
구 1907
 
6.7%
광 1683
 
5.9%
역 1286
 
4.5%
경 1111
 
3.9%
서 949
 
3.3%
남 949
 
3.3%
특 892
 
3.1%
별 892
 
3.1%
Other values (142) 13530
47.5%
Space Separator
ValueCountFrequency (%)
3516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28483
89.0%
Common 3516
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3196
 
11.2%
도 2088
 
7.3%
구 1907
 
6.7%
광 1683
 
5.9%
역 1286
 
4.5%
경 1111
 
3.9%
서 949
 
3.3%
남 949
 
3.3%
특 892
 
3.1%
별 892
 
3.1%
Other values (142) 13530
47.5%
Common
ValueCountFrequency (%)
3516
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28483
89.0%
ASCII 3516
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3516
100.0%
Hangul
ValueCountFrequency (%)
시 3196
 
11.2%
도 2088
 
7.3%
구 1907
 
6.7%
광 1683
 
5.9%
역 1286
 
4.5%
경 1111
 
3.9%
서 949
 
3.3%
남 949
 
3.3%
특 892
 
3.1%
별 892
 
3.1%
Other values (142) 13530
47.5%

Sample

도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자제공기관코드제공기관명
0가평군 한석봉도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:59119140341445536714경기도 가평군 가평읍 문화로 187경기도 가평군031-580-40417485.03602.0www.gaplib.go.kr37.829691127.5064332023-06-214160000경기도 가평군
1가평군 설악도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:594277707431581714경기도 가평군 설악면 자잠로 65 가평설악도서관경기도 가평군031-580-43133693.01470.0www.gaplib.go.kr37.683315127.4910152023-06-214160000경기도 가평군
2가평군 청평도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:5911081120391546714경기도 가평군 청평면 은고개로 31경기도 가평군031-580-43324500.02486.0www.gaplib.go.kr37.739591127.424232023-06-214160000경기도 가평군
3가평군 조종도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:597277327391972714경기도 가평군 조종면 조종희망로 26번길22경기도 가평군031-580-43012692.01502.0www.gaplib.go.kr37.81829127.3529812023-06-214160000경기도 가평군
4구암도서관대전광역시유성구공공도서관일+공휴일08:0022:0008:0022:0008:0022:009260080520514대전광역시 유성구 유성대로626번길 57(구암동)대전광역시 유성구청042-611-66302486.0582.0http://lib.yuseong.go.kr/36.349268127.3302552023-06-133670000대전광역시 유성구
5노은도서관대전광역시유성구공공도서관월+공휴일08:0022:0008:0022:0008:0022:0021290102582199514대전광역시 유성구 원신흥남로 59 (원신흥동)대전광역시 유성구청042-611-66107523.03355.0http://lib.yuseong.go.kr/36.337716127.3374862023-06-133670000대전광역시 유성구
6원신흥도서관대전광역시유성구공공도서관월+공휴일08:0022:0008:0022:0008:0022:009848726520514대전광역시 유성구 노은동로 234번길35(지족동)대전광역시 유성구청042-611-69704782.03717.0http://lib.yuseong.go.kr/36.382104127.3204212023-06-133670000대전광역시 유성구
7유성도서관대전광역시유성구공공도서관월+공휴일08:0022:0008:0022:0008:0022:00186129721485654514대전광역시 유성구 대덕대로 507-38(가정동)대전광역시 유성구청042-611-653029063.02466.0http://lib.yuseong.go.kr/36.378423127.3759132023-06-133670000대전광역시 유성구
8진잠도서관대전광역시유성구공공도서관월+공휴일08:0022:0008:0022:0008:0022:0011783137562050514대전광역시 유성구 진잠로160번길 19(원내동)대전광역시 유성구청042-611-65901913.02591.0http://lib.yuseong.go.kr/36.303156127.3197682023-06-133670000대전광역시 유성구
9판교인생경기도성남시작은도서관공휴일09:0018:0009:0014:0000:0000:0065499480614경기도 성남시 분당구 판교역로 99판교노인종합복지관031-620-2817<NA>234.0https://www.snlib.go.kr/small37.390227127.1086222023-08-313780000경기도 성남시
도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자제공기관코드제공기관명
3787오성도서관경기도평택시공공도서관월+일+국가지정공휴일10:0019:0009:0018:0000:0000:00170460742624831514경기도 평택시 오성면 오성새싹길 3경기도 평택시청031-8024-8561853.0729.0http://www.ptlib.go.kr37.007731126.9797152024-02-283910000경기도 평택시
3788장당도서관경기도평택시공공도서관월(1+3주째)+국가지정공휴일08:0023:5908:0023:5908:0023:595711261747768701514경기도 평택시 장당길 116경기도 평택시청031-8024-74655914.02813.0http://www.ptlib.go.kr37.05286127.0652292024-02-283910000경기도 평택시
3789진위도서관경기도평택시공공도서관월+일+국가지정공휴일10:0019:0009:0018:0000:0000:00171481742811381514경기도 평택시 진위면 진위서로 137경기도 평택시청031-8024-74743842.01209.0http://www.ptlib.go.kr37.106688127.0783512024-02-283910000경기도 평택시
3790청북도서관경기도평택시공공도서관월+국가지정공휴일10:0019:0009:0018:0010:0019:009042548822351514경기도 평택시 청북읍 안청로 2길경기도 평택시청031-8024-85825150.0478.0http://www.ptlib.go.kr37.020514126.9179362024-02-283910000경기도 평택시
3791세교도서관경기도평택시공공도서관월+국가지정공휴일10:0019:0009:0018:0009:0018:00299545833514811514경기도 평택시 은실고가길 180경기도 평택시청031-8024-54464041.01044.0http://www.ptlib.go.kr37.006413127.0786472024-02-283910000경기도 평택시
3792매봉작은도서관경기도평택시작은도서관월+일+국가지정공휴일10:0019:0009:0018:0000:0000:005033153128001514경기도 평택시 평택5로 185경기도 평택시청031-657-69311024.0266.0http://www.ptlib.go.kr36.996152127.1031992024-02-283910000경기도 평택시
3793송탄작은도서관경기도평택시작은도서관토+일+국가지정공휴일10:0019:0000:0000:0000:0000:004626973108431514경기도 평택시 원칠원길 76경기도 평택시청031-611-8917902.0196.0http://www.ptlib.go.kr37.03334127.099552024-02-283910000경기도 평택시
3794서정작은도서관경기도평택시작은도서관월+일+국가지정공휴일10:0019:0009:0000:0000:0000:004530418138201514경기도 평택시 서정로 202경기도 평택시청031-611-3764483.0387.0http://www.ptlib.go.kr37.066155127.0557292024-02-283910000경기도 평택시
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3796순창군립도서관전라북도순창군공공도서관금+법정공휴일09:0023:0009:0023:0009:0023:006534773306028414전라북도 순창군 순창읍 순창5길 18전라북도 순창군063-650-56782162.01247.0lib.sunchang.go.kr35.373735127.140742022-06-154771000전북특별자치도 순창군