Overview

Dataset statistics

Number of variables27
Number of observations511
Missing cells152
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.9 KiB
Average record size in memory226.3 B

Variable types

Text6
Categorical5
DateTime7
Numeric9

Alerts

시도명 has constant value ""Constant
대출가능일수 is highly imbalanced (70.9%)Imbalance
부지면적 has 118 (23.1%) missing valuesMissing
홈페이지주소 has 34 (6.7%) missing valuesMissing
건물면적 is highly skewed (γ1 = 21.96306276)Skewed
도서관전화번호 has unique valuesUnique
경도 has unique valuesUnique
열람좌석수 has 29 (5.7%) zerosZeros
자료수(연속간행물) has 70 (13.7%) zerosZeros
자료수(비도서) has 190 (37.2%) zerosZeros

Reproduction

Analysis started2024-05-10 20:40:50.763529
Analysis finished2024-05-10 20:40:52.318536
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

Distinct495
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-10T20:40:52.616910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.9452055
Min length2

Characters and Unicode

Total characters3549
Distinct characters312
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique487 ?
Unique (%)95.3%

Sample

1st row가평군 설악도서관
2nd row가평군 조종도서관
3rd row가평군 한석봉도서관
4th row가평군 청평도서관
5th row행신어린이도서관
ValueCountFrequency (%)
작은도서관 18
 
3.3%
중앙도서관 11
 
2.0%
오산시 7
 
1.3%
안성시 6
 
1.1%
가평군 4
 
0.7%
어린이도서관 3
 
0.5%
탄현작은도서관 2
 
0.4%
숲속작은도서관 2
 
0.4%
송정작은도서관 2
 
0.4%
무지개작은도서관 2
 
0.4%
Other values (489) 491
89.6%
2024-05-10T20:40:53.540479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 488
 
13.8%
도 487
 
13.7%
관 482
 
13.6%
은 163
 
4.6%
작 160
 
4.5%
동 59
 
1.7%
이 48
 
1.4%
시 39
 
1.1%
37
 
1.0%
산 33
 
0.9%
Other values (302) 1553
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3472
97.8%
Space Separator 37
 
1.0%
Decimal Number 27
 
0.8%
Lowercase Letter 11
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 488
 
14.1%
도 487
 
14.0%
관 482
 
13.9%
은 163
 
4.7%
작 160
 
4.6%
동 59
 
1.7%
이 48
 
1.4%
시 39
 
1.1%
산 33
 
1.0%
정 32
 
0.9%
Other values (286) 1481
42.7%
Lowercase Letter
ValueCountFrequency (%)
r 3
27.3%
e 2
18.2%
b 1
 
9.1%
t 1
 
9.1%
n 1
 
9.1%
y 1
 
9.1%
a 1
 
9.1%
i 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 12
44.4%
2 9
33.3%
3 4
 
14.8%
5 1
 
3.7%
4 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3471
97.8%
Common 64
 
1.8%
Latin 13
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 488
 
14.1%
도 487
 
14.0%
관 482
 
13.9%
은 163
 
4.7%
작 160
 
4.6%
동 59
 
1.7%
이 48
 
1.4%
시 39
 
1.1%
산 33
 
1.0%
정 32
 
0.9%
Other values (285) 1480
42.6%
Latin
ValueCountFrequency (%)
r 3
23.1%
e 2
15.4%
b 1
 
7.7%
t 1
 
7.7%
n 1
 
7.7%
C 1
 
7.7%
y 1
 
7.7%
a 1
 
7.7%
i 1
 
7.7%
L 1
 
7.7%
Common
ValueCountFrequency (%)
37
57.8%
1 12
 
18.8%
2 9
 
14.1%
3 4
 
6.2%
5 1
 
1.6%
4 1
 
1.6%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3471
97.8%
ASCII 77
 
2.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 488
 
14.1%
도 487
 
14.0%
관 482
 
13.9%
은 163
 
4.7%
작 160
 
4.6%
동 59
 
1.7%
이 48
 
1.4%
시 39
 
1.1%
산 33
 
1.0%
정 32
 
0.9%
Other values (285) 1480
42.6%
ASCII
ValueCountFrequency (%)
37
48.1%
1 12
 
15.6%
2 9
 
11.7%
3 4
 
5.2%
r 3
 
3.9%
e 2
 
2.6%
b 1
 
1.3%
t 1
 
1.3%
n 1
 
1.3%
C 1
 
1.3%
Other values (6) 6
 
7.8%
CJK
ValueCountFrequency (%)
秀 1
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
경기도
511 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 511
100.0%

Length

2024-05-10T20:40:54.041047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:40:54.337589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 511
100.0%

시군구명
Categorical

Distinct31
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
성남시
44 
군포시
41 
부천시
36 
고양시
35 
시흥시
 
32
Other values (26)
323 

Length

Max length4
Median length3
Mean length3.074364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row고양시

Common Values

ValueCountFrequency (%)
성남시 44
 
8.6%
군포시 41
 
8.0%
부천시 36
 
7.0%
고양시 35
 
6.8%
시흥시 32
 
6.3%
화성시 29
 
5.7%
수원시 26
 
5.1%
용인시 25
 
4.9%
안산시 25
 
4.9%
파주시 22
 
4.3%
Other values (21) 196
38.4%

Length

2024-05-10T20:40:54.652132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 44
 
8.6%
군포시 41
 
8.0%
부천시 36
 
7.0%
고양시 35
 
6.8%
시흥시 32
 
6.3%
화성시 29
 
5.7%
수원시 26
 
5.1%
용인시 25
 
4.9%
안산시 25
 
4.9%
파주시 22
 
4.3%
Other values (21) 196
38.4%

도서관유형
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
공공도서관
297 
작은도서관
203 
어린이도서관
 
11

Length

Max length6
Median length5
Mean length5.0215264
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공도서관 297
58.1%
작은도서관 203
39.7%
어린이도서관 11
 
2.2%

Length

2024-05-10T20:40:55.036023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:40:55.368507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공도서관 297
58.1%
작은도서관 203
39.7%
어린이도서관 11
 
2.2%

휴관일
Text

Distinct115
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-10T20:40:55.832145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length34
Mean length13.500978
Min length3

Characters and Unicode

Total characters6899
Distinct characters95
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)9.0%

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 row두 번째 월+네 번째 월+법정공휴일(일요일 제외)
ValueCountFrequency (%)
주 99
 
8.0%
매주 59
 
4.8%
번째 55
 
4.5%
월요일 44
 
3.6%
법정공휴일 43
 
3.5%
토+일+법정공휴일 40
 
3.3%
월+법정공휴일 27
 
2.2%
제외한 25
 
2.0%
제외 22
 
1.8%
월+법정공휴일(일요일 22
 
1.8%
Other values (141) 794
64.6%
2024-05-10T20:40:56.941640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 937
13.6%
723
 
10.5%
+ 656
 
9.5%
휴 538
 
7.8%
공 439
 
6.4%
월 364
 
5.3%
정 342
 
5.0%
요 242
 
3.5%
주 237
 
3.4%
법 205
 
3.0%
Other values (85) 2216
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5148
74.6%
Space Separator 723
 
10.5%
Math Symbol 656
 
9.5%
Decimal Number 121
 
1.8%
Other Punctuation 107
 
1.6%
Close Punctuation 87
 
1.3%
Open Punctuation 57
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 937
18.2%
휴 538
 
10.5%
공 439
 
8.5%
월 364
 
7.1%
정 342
 
6.6%
요 242
 
4.7%
주 237
 
4.6%
법 205
 
4.0%
째 191
 
3.7%
지 143
 
2.8%
Other values (73) 1510
29.3%
Decimal Number
ValueCountFrequency (%)
1 80
66.1%
2 21
 
17.4%
5 7
 
5.8%
3 7
 
5.8%
4 6
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 65
60.7%
· 33
30.8%
/ 9
 
8.4%
Space Separator
ValueCountFrequency (%)
723
100.0%
Math Symbol
ValueCountFrequency (%)
+ 656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5148
74.6%
Common 1751
 
25.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 937
18.2%
휴 538
 
10.5%
공 439
 
8.5%
월 364
 
7.1%
정 342
 
6.6%
요 242
 
4.7%
주 237
 
4.6%
법 205
 
4.0%
째 191
 
3.7%
지 143
 
2.8%
Other values (73) 1510
29.3%
Common
ValueCountFrequency (%)
723
41.3%
+ 656
37.5%
) 87
 
5.0%
1 80
 
4.6%
, 65
 
3.7%
( 57
 
3.3%
· 33
 
1.9%
2 21
 
1.2%
/ 9
 
0.5%
5 7
 
0.4%
Other values (2) 13
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5148
74.6%
ASCII 1718
 
24.9%
None 33
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 937
18.2%
휴 538
 
10.5%
공 439
 
8.5%
월 364
 
7.1%
정 342
 
6.6%
요 242
 
4.7%
주 237
 
4.6%
법 205
 
4.0%
째 191
 
3.7%
지 143
 
2.8%
Other values (73) 1510
29.3%
ASCII
ValueCountFrequency (%)
723
42.1%
+ 656
38.2%
) 87
 
5.1%
1 80
 
4.7%
, 65
 
3.8%
( 57
 
3.3%
2 21
 
1.2%
/ 9
 
0.5%
5 7
 
0.4%
3 7
 
0.4%
None
ValueCountFrequency (%)
· 33
100.0%

평일운영시작시각
Date

Distinct13
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 15:00:00
2024-05-10T20:40:57.291838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:40:57.661548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

평일운영종료시각
Date

Distinct13
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T20:40:58.135308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:40:58.428854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

토요일운영시작시각
Date

Distinct12
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 14:00:00
2024-05-10T20:40:58.677716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:40:58.989109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

토요일운영종료시각
Date

Distinct14
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T20:40:59.277260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:40:59.533379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

공휴일운영시작시각
Date

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 11:00:00
2024-05-10T20:40:59.758833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:00.052356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

공휴일운영종료시각
Date

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T20:41:00.400110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:00.776382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

열람좌석수
Real number (ℝ)

ZEROS 

Distinct285
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.1272
Minimum0
Maximum2081
Zeros29
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:01.154318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134
median110
Q3327
95-th percentile716
Maximum2081
Range2081
Interquartile range (IQR)293

Descriptive statistics

Standard deviation267.81615
Coefficient of variation (CV)1.2221949
Kurtosis9.3562803
Mean219.1272
Median Absolute Deviation (MAD)90
Skewness2.3891802
Sum111974
Variance71725.488
MonotonicityNot monotonic
2024-05-10T20:41:01.602904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
5.7%
40 14
 
2.7%
30 14
 
2.7%
50 13
 
2.5%
25 11
 
2.2%
36 10
 
2.0%
20 9
 
1.8%
26 9
 
1.8%
12 6
 
1.2%
42 5
 
1.0%
Other values (275) 391
76.5%
ValueCountFrequency (%)
0 29
5.7%
3 1
 
0.2%
6 2
 
0.4%
8 1
 
0.2%
10 5
 
1.0%
12 6
 
1.2%
13 1
 
0.2%
14 2
 
0.4%
15 3
 
0.6%
16 3
 
0.6%
ValueCountFrequency (%)
2081 1
0.2%
2000 1
0.2%
1421 1
0.2%
1382 1
0.2%
1124 1
0.2%
1066 1
0.2%
1040 1
0.2%
1009 1
0.2%
969 1
0.2%
958 1
0.2%

자료수(도서)
Real number (ℝ)

Distinct510
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71695.086
Minimum0
Maximum702278
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:02.020300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3591
Q112116
median42273
Q3105823.5
95-th percentile227668.5
Maximum702278
Range702278
Interquartile range (IQR)93707.5

Descriptive statistics

Standard deviation82504.182
Coefficient of variation (CV)1.1507648
Kurtosis8.7055771
Mean71695.086
Median Absolute Deviation (MAD)34911
Skewness2.2688148
Sum36636189
Variance6.80694 × 109
MonotonicityNot monotonic
2024-05-10T20:41:02.382366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8720 2
 
0.4%
77707 1
 
0.2%
11650 1
 
0.2%
32825 1
 
0.2%
86230 1
 
0.2%
157363 1
 
0.2%
42106 1
 
0.2%
3903 1
 
0.2%
42178 1
 
0.2%
8848 1
 
0.2%
Other values (500) 500
97.8%
ValueCountFrequency (%)
0 1
0.2%
1100 1
0.2%
1256 1
0.2%
1500 1
0.2%
1509 1
0.2%
1610 1
0.2%
1699 1
0.2%
1855 1
0.2%
2000 1
0.2%
2005 1
0.2%
ValueCountFrequency (%)
702278 1
0.2%
474677 1
0.2%
411204 1
0.2%
407715 1
0.2%
335899 1
0.2%
333227 1
0.2%
325102 1
0.2%
320698 1
0.2%
314745 1
0.2%
311500 1
0.2%

자료수(연속간행물)
Real number (ℝ)

ZEROS 

Distinct152
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.906067
Minimum0
Maximum867
Zeros70
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:02.795982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median29
Q376.5
95-th percentile163.5
Maximum867
Range867
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation75.389076
Coefficient of variation (CV)1.4249609
Kurtosis36.051229
Mean52.906067
Median Absolute Deviation (MAD)27
Skewness4.6508493
Sum27035
Variance5683.5127
MonotonicityNot monotonic
2024-05-10T20:41:03.214366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
13.7%
8 29
 
5.7%
9 16
 
3.1%
10 12
 
2.3%
19 10
 
2.0%
24 9
 
1.8%
6 9
 
1.8%
25 8
 
1.6%
39 8
 
1.6%
7 7
 
1.4%
Other values (142) 333
65.2%
ValueCountFrequency (%)
0 70
13.7%
1 2
 
0.4%
2 6
 
1.2%
3 5
 
1.0%
4 3
 
0.6%
5 7
 
1.4%
6 9
 
1.8%
7 7
 
1.4%
8 29
5.7%
9 16
 
3.1%
ValueCountFrequency (%)
867 1
0.2%
615 1
0.2%
498 1
0.2%
398 1
0.2%
376 1
0.2%
341 1
0.2%
336 1
0.2%
316 1
0.2%
267 1
0.2%
263 1
0.2%

자료수(비도서)
Real number (ℝ)

ZEROS 

Distinct311
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2956.8787
Minimum0
Maximum74237
Zeros190
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:03.612186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median479
Q32982.5
95-th percentile13249.5
Maximum74237
Range74237
Interquartile range (IQR)2982.5

Descriptive statistics

Standard deviation6936.5596
Coefficient of variation (CV)2.3459061
Kurtosis39.235614
Mean2956.8787
Median Absolute Deviation (MAD)479
Skewness5.3767385
Sum1510965
Variance48115860
MonotonicityNot monotonic
2024-05-10T20:41:04.116928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
37.2%
1648 2
 
0.4%
10 2
 
0.4%
312 2
 
0.4%
100 2
 
0.4%
33 2
 
0.4%
200 2
 
0.4%
948 2
 
0.4%
541 2
 
0.4%
766 2
 
0.4%
Other values (301) 303
59.3%
ValueCountFrequency (%)
0 190
37.2%
1 1
 
0.2%
3 2
 
0.4%
10 2
 
0.4%
11 1
 
0.2%
13 1
 
0.2%
14 1
 
0.2%
19 1
 
0.2%
20 1
 
0.2%
33 2
 
0.4%
ValueCountFrequency (%)
74237 1
0.2%
63343 1
0.2%
42436 1
0.2%
39734 1
0.2%
37503 1
0.2%
37254 1
0.2%
35251 1
0.2%
27389 1
0.2%
26443 1
0.2%
24286 1
0.2%

대출가능권수
Real number (ℝ)

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9119374
Minimum0
Maximum99
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:04.534563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q16
median7
Q310
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.2185636
Coefficient of variation (CV)0.65958101
Kurtosis182.25425
Mean7.9119374
Median Absolute Deviation (MAD)2
Skewness10.855203
Sum4043
Variance27.233406
MonotonicityNot monotonic
2024-05-10T20:41:04.902049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 185
36.2%
10 129
25.2%
5 95
18.6%
6 43
 
8.4%
3 16
 
3.1%
20 16
 
3.1%
15 16
 
3.1%
2 7
 
1.4%
0 2
 
0.4%
4 1
 
0.2%
ValueCountFrequency (%)
0 2
 
0.4%
2 7
 
1.4%
3 16
 
3.1%
4 1
 
0.2%
5 95
18.6%
6 43
 
8.4%
7 185
36.2%
10 129
25.2%
15 16
 
3.1%
20 16
 
3.1%
ValueCountFrequency (%)
99 1
 
0.2%
20 16
 
3.1%
15 16
 
3.1%
10 129
25.2%
7 185
36.2%
6 43
 
8.4%
5 95
18.6%
4 1
 
0.2%
3 16
 
3.1%
2 7
 
1.4%

대출가능일수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
14
456 
21
 
24
15
 
17
7
 
12
0
 
2

Length

Max length2
Median length2
Mean length1.9726027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row14
2nd row14
3rd row14
4th row14
5th row14

Common Values

ValueCountFrequency (%)
14 456
89.2%
21 24
 
4.7%
15 17
 
3.3%
7 12
 
2.3%
0 2
 
0.4%

Length

2024-05-10T20:41:05.318983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:05.666412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
14 456
89.2%
21 24
 
4.7%
15 17
 
3.3%
7 12
 
2.3%
0 2
 
0.4%

소재지도로명주소
Text

Distinct509
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-10T20:41:06.321633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length20.986301
Min length13

Characters and Unicode

Total characters10724
Distinct characters298
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

Unique507 ?
Unique (%)99.2%

Sample

1st row경기도 가평군 설악면 자잠로 65 가평설악도서관
2nd row경기도 가평군 조종면 조종희망로 26번길22
3rd row경기도 가평군 가평읍 문화로 187
4th row경기도 가평군 청평면 은고개로 31
5th row경기도 고양시 덕양구 소원로181번길 42(행신동)
ValueCountFrequency (%)
경기도 510
 
21.1%
성남시 44
 
1.8%
군포시 41
 
1.7%
부천시 36
 
1.5%
고양시 35
 
1.4%
시흥시 32
 
1.3%
화성시 29
 
1.2%
수원시 26
 
1.1%
용인시 25
 
1.0%
안산시 25
 
1.0%
Other values (1036) 1614
66.8%
2024-05-10T20:41:07.464255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1906
 
17.8%
시 531
 
5.0%
도 531
 
5.0%
기 527
 
4.9%
경 518
 
4.8%
로 463
 
4.3%
1 341
 
3.2%
2 243
 
2.3%
동 232
 
2.2%
3 207
 
1.9%
Other values (288) 5225
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6645
62.0%
Space Separator 1906
 
17.8%
Decimal Number 1730
 
16.1%
Close Punctuation 168
 
1.6%
Open Punctuation 168
 
1.6%
Dash Punctuation 73
 
0.7%
Other Punctuation 33
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 531
 
8.0%
도 531
 
8.0%
기 527
 
7.9%
경 518
 
7.8%
로 463
 
7.0%
동 232
 
3.5%
길 195
 
2.9%
구 184
 
2.8%
양 144
 
2.2%
번 132
 
2.0%
Other values (272) 3188
48.0%
Decimal Number
ValueCountFrequency (%)
1 341
19.7%
2 243
14.0%
3 207
12.0%
4 161
9.3%
5 155
9.0%
7 139
8.0%
0 134
 
7.7%
8 120
 
6.9%
6 117
 
6.8%
9 113
 
6.5%
Space Separator
ValueCountFrequency (%)
1906
100.0%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6645
62.0%
Common 4078
38.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 531
 
8.0%
도 531
 
8.0%
기 527
 
7.9%
경 518
 
7.8%
로 463
 
7.0%
동 232
 
3.5%
길 195
 
2.9%
구 184
 
2.8%
양 144
 
2.2%
번 132
 
2.0%
Other values (272) 3188
48.0%
Common
ValueCountFrequency (%)
1906
46.7%
1 341
 
8.4%
2 243
 
6.0%
3 207
 
5.1%
) 168
 
4.1%
( 168
 
4.1%
4 161
 
3.9%
5 155
 
3.8%
7 139
 
3.4%
0 134
 
3.3%
Other values (5) 456
 
11.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6645
62.0%
ASCII 4079
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1906
46.7%
1 341
 
8.4%
2 243
 
6.0%
3 207
 
5.1%
) 168
 
4.1%
( 168
 
4.1%
4 161
 
3.9%
5 155
 
3.8%
7 139
 
3.4%
0 134
 
3.3%
Other values (6) 457
 
11.2%
Hangul
ValueCountFrequency (%)
시 531
 
8.0%
도 531
 
8.0%
기 527
 
7.9%
경 518
 
7.8%
로 463
 
7.0%
동 232
 
3.5%
길 195
 
2.9%
구 184
 
2.8%
양 144
 
2.2%
번 132
 
2.0%
Other values (272) 3188
48.0%

운영기관명
Text

Distinct165
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-10T20:41:07.921543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length8.8806262
Min length3

Characters and Unicode

Total characters4538
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)23.1%

Sample

1st row경기도 가평군
2nd row경기도 가평군
3rd row경기도 가평군
4th row경기도 가평군
5th row경기도 고양시청
ValueCountFrequency (%)
경기도 299
31.7%
부천시청 21
 
2.2%
평생학습원 21
 
2.2%
안산시 21
 
2.2%
화성시문화재단 19
 
2.0%
고양시청 19
 
2.0%
의정부시청 19
 
2.0%
용인시청 18
 
1.9%
도서관운영과 18
 
1.9%
수원시청 17
 
1.8%
Other values (179) 472
50.0%
2024-05-10T20:41:08.822116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
9.5%
도 401
 
8.8%
시 368
 
8.1%
기 311
 
6.9%
경 310
 
6.8%
청 244
 
5.4%
관 113
 
2.5%
서 92
 
2.0%
주 87
 
1.9%
양 81
 
1.8%
Other values (211) 2098
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4073
89.8%
Space Separator 433
 
9.5%
Decimal Number 16
 
0.4%
Uppercase Letter 12
 
0.3%
Other Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 401
 
9.8%
시 368
 
9.0%
기 311
 
7.6%
경 310
 
7.6%
청 244
 
6.0%
관 113
 
2.8%
서 92
 
2.3%
주 87
 
2.1%
양 81
 
2.0%
성 72
 
1.8%
Other values (196) 1994
49.0%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
1 5
31.2%
4 1
 
6.2%
3 1
 
6.2%
0 1
 
6.2%
6 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
C 3
25.0%
A 3
25.0%
M 3
25.0%
Space Separator
ValueCountFrequency (%)
433
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4074
89.8%
Common 451
 
9.9%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 401
 
9.8%
시 368
 
9.0%
기 311
 
7.6%
경 310
 
7.6%
청 244
 
6.0%
관 113
 
2.8%
서 92
 
2.3%
주 87
 
2.1%
양 81
 
2.0%
성 72
 
1.8%
Other values (197) 1995
49.0%
Common
ValueCountFrequency (%)
433
96.0%
2 7
 
1.6%
1 5
 
1.1%
4 1
 
0.2%
3 1
 
0.2%
0 1
 
0.2%
6 1
 
0.2%
) 1
 
0.2%
( 1
 
0.2%
Latin
ValueCountFrequency (%)
Y 3
23.1%
C 3
23.1%
A 3
23.1%
M 3
23.1%
e 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4073
89.8%
ASCII 464
 
10.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
93.3%
2 7
 
1.5%
1 5
 
1.1%
Y 3
 
0.6%
C 3
 
0.6%
A 3
 
0.6%
M 3
 
0.6%
4 1
 
0.2%
3 1
 
0.2%
0 1
 
0.2%
Other values (4) 4
 
0.9%
Hangul
ValueCountFrequency (%)
도 401
 
9.8%
시 368
 
9.0%
기 311
 
7.6%
경 310
 
7.6%
청 244
 
6.0%
관 113
 
2.8%
서 92
 
2.3%
주 87
 
2.1%
양 81
 
2.0%
성 72
 
1.8%
Other values (196) 1994
49.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도서관전화번호
Text

UNIQUE 

Distinct511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-10T20:41:09.605698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.178082
Min length11

Characters and Unicode

Total characters6223
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

Unique511 ?
Unique (%)100.0%

Sample

1st row031-580-4313
2nd row031-580-4301
3rd row031-580-4041
4th row031-580-4332
5th row031-8075-9278
ValueCountFrequency (%)
031-580-4313 1
 
0.2%
031-882-1066 1
 
0.2%
031-887-3331 1
 
0.2%
031-770-2710 1
 
0.2%
031-770-2730 1
 
0.2%
031-770-2561 1
 
0.2%
031-771-0634 1
 
0.2%
031-770-2571 1
 
0.2%
031-775-7483 1
 
0.2%
031-771-4302 1
 
0.2%
Other values (501) 501
98.0%
2024-05-10T20:41:11.238281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1022
16.4%
0 969
15.6%
3 836
13.4%
1 725
11.7%
8 442
7.1%
2 421
6.8%
4 396
 
6.4%
5 390
 
6.3%
7 379
 
6.1%
6 325
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5201
83.6%
Dash Punctuation 1022
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 969
18.6%
3 836
16.1%
1 725
13.9%
8 442
8.5%
2 421
8.1%
4 396
7.6%
5 390
7.5%
7 379
 
7.3%
6 325
 
6.2%
9 318
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 1022
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1022
16.4%
0 969
15.6%
3 836
13.4%
1 725
11.7%
8 442
7.1%
2 421
6.8%
4 396
 
6.4%
5 390
 
6.3%
7 379
 
6.1%
6 325
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1022
16.4%
0 969
15.6%
3 836
13.4%
1 725
11.7%
8 442
7.1%
2 421
6.8%
4 396
 
6.4%
5 390
 
6.3%
7 379
 
6.1%
6 325
 
5.2%

부지면적
Real number (ℝ)

MISSING 

Distinct374
Distinct (%)95.2%
Missing118
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean13270.141
Minimum0
Maximum946887.3
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:11.953596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile99.6
Q11037
median2940
Q35914
95-th percentile29776.2
Maximum946887.3
Range946887.3
Interquartile range (IQR)4877

Descriptive statistics

Standard deviation73743.961
Coefficient of variation (CV)5.5571349
Kurtosis116.12709
Mean13270.141
Median Absolute Deviation (MAD)2087
Skewness10.476492
Sum5215165.3
Variance5.4381718 × 109
MonotonicityNot monotonic
2024-05-10T20:41:12.417114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
1.0%
2000.0 3
 
0.6%
165.0 3
 
0.6%
110.0 2
 
0.4%
250.0 2
 
0.4%
33.0 2
 
0.4%
1037.0 2
 
0.4%
4000.0 2
 
0.4%
5236.0 2
 
0.4%
2215.0 2
 
0.4%
Other values (364) 368
72.0%
(Missing) 118
 
23.1%
ValueCountFrequency (%)
0.0 5
1.0%
33.0 2
 
0.4%
36.0 1
 
0.2%
46.2 1
 
0.2%
48.0 1
 
0.2%
52.0 1
 
0.2%
70.0 1
 
0.2%
75.0 1
 
0.2%
75.9 1
 
0.2%
80.0 1
 
0.2%
ValueCountFrequency (%)
946887.3 1
0.2%
808600.0 1
0.2%
676190.0 1
0.2%
282284.0 1
0.2%
220400.0 1
0.2%
128580.0 1
0.2%
87722.0 1
0.2%
58586.0 1
0.2%
55661.0 1
0.2%
54239.4 1
0.2%

건물면적
Real number (ℝ)

SKEWED 

Distinct458
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2610.938
Minimum29
Maximum379100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:12.938004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile58.7
Q1162.3
median944
Q32851.5
95-th percentile6461.54
Maximum379100
Range379071
Interquartile range (IQR)2689.2

Descriptive statistics

Standard deviation16849.359
Coefficient of variation (CV)6.4533736
Kurtosis491.5402
Mean2610.938
Median Absolute Deviation (MAD)851
Skewness21.963063
Sum1334189.3
Variance2.8390089 × 108
MonotonicityNot monotonic
2024-05-10T20:41:13.390675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
1.0%
50.0 4
 
0.8%
100.0 4
 
0.8%
72.0 3
 
0.6%
85.0 3
 
0.6%
88.0 3
 
0.6%
165.0 3
 
0.6%
250.0 3
 
0.6%
99.0 3
 
0.6%
168.0 3
 
0.6%
Other values (448) 477
93.3%
ValueCountFrequency (%)
29.0 1
 
0.2%
33.0 5
1.0%
34.0 1
 
0.2%
36.0 2
 
0.4%
40.0 2
 
0.4%
42.0 1
 
0.2%
45.0 1
 
0.2%
47.0 1
 
0.2%
48.0 1
 
0.2%
50.0 4
0.8%
ValueCountFrequency (%)
379100.0 1
0.2%
14900.0 1
0.2%
13164.3 1
0.2%
12807.0 1
0.2%
12510.0 1
0.2%
10652.0 1
0.2%
10560.0 1
0.2%
10027.0 1
0.2%
9966.0 1
0.2%
9824.0 1
0.2%

홈페이지주소
Text

MISSING 

Distinct188
Distinct (%)39.4%
Missing34
Missing (%)6.7%
Memory size4.1 KiB
2024-05-10T20:41:13.840023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length40
Mean length26.044025
Min length13

Characters and Unicode

Total characters12423
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)34.2%

Sample

1st rowwww.gaplib.go.kr
2nd rowwww.gaplib.go.kr
3rd rowwww.gaplib.go.kr
4th rowwww.gaplib.go.kr
5th rowhttps://www.goyanglib.or.kr/MH/index.do
ValueCountFrequency (%)
www.bcl.go.kr 36
 
7.5%
http://lib.siheung.go.kr 32
 
6.7%
www.hscitylib.or.kr 28
 
5.9%
https://www.snlib.go.kr/small 28
 
5.9%
http://lib.ansan.go.kr 25
 
5.2%
http://www.uilib.go.kr 19
 
4.0%
https://lib.yongin.go.kr 18
 
3.8%
http://www.anseong.go.kr/library 15
 
3.1%
http://www.yplib.go.kr 14
 
2.9%
http://lib.gjcity.go.kr 14
 
2.9%
Other values (177) 248
52.0%
2024-05-10T20:41:14.916253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1460
 
11.8%
/ 1134
 
9.1%
w 908
 
7.3%
t 892
 
7.2%
o 714
 
5.7%
i 679
 
5.5%
g 630
 
5.1%
r 612
 
4.9%
l 591
 
4.8%
b 533
 
4.3%
Other values (45) 4270
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9345
75.2%
Other Punctuation 2995
 
24.1%
Uppercase Letter 41
 
0.3%
Decimal Number 40
 
0.3%
Connector Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 908
 
9.7%
t 892
 
9.5%
o 714
 
7.6%
i 679
 
7.3%
g 630
 
6.7%
r 612
 
6.5%
l 591
 
6.3%
b 533
 
5.7%
h 515
 
5.5%
p 494
 
5.3%
Other values (14) 2777
29.7%
Uppercase Letter
ValueCountFrequency (%)
M 20
48.8%
I 2
 
4.9%
N 2
 
4.9%
G 2
 
4.9%
D 1
 
2.4%
F 1
 
2.4%
O 1
 
2.4%
E 1
 
2.4%
H 1
 
2.4%
K 1
 
2.4%
Other values (9) 9
22.0%
Decimal Number
ValueCountFrequency (%)
0 18
45.0%
1 9
22.5%
3 4
 
10.0%
2 3
 
7.5%
6 3
 
7.5%
4 3
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 1460
48.7%
/ 1134
37.9%
: 399
 
13.3%
@ 2
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9386
75.6%
Common 3037
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 908
 
9.7%
t 892
 
9.5%
o 714
 
7.6%
i 679
 
7.2%
g 630
 
6.7%
r 612
 
6.5%
l 591
 
6.3%
b 533
 
5.7%
h 515
 
5.5%
p 494
 
5.3%
Other values (33) 2818
30.0%
Common
ValueCountFrequency (%)
. 1460
48.1%
/ 1134
37.3%
: 399
 
13.1%
0 18
 
0.6%
1 9
 
0.3%
3 4
 
0.1%
2 3
 
0.1%
6 3
 
0.1%
4 3
 
0.1%
@ 2
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1460
 
11.8%
/ 1134
 
9.1%
w 908
 
7.3%
t 892
 
7.2%
o 714
 
5.7%
i 679
 
5.5%
g 630
 
5.1%
r 612
 
4.9%
l 591
 
4.8%
b 533
 
4.3%
Other values (45) 4270
34.4%

위도
Real number (ℝ)

Distinct510
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.437662
Minimum36.964918
Maximum38.09811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:15.340167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964918
5-th percentile37.073016
Q137.304713
median37.3919
Q337.599969
95-th percentile37.826361
Maximum38.09811
Range1.1331927
Interquartile range (IQR)0.29525525

Descriptive statistics

Standard deviation0.21944478
Coefficient of variation (CV)0.0058616048
Kurtosis-0.16275821
Mean37.437662
Median Absolute Deviation (MAD)0.11831973
Skewness0.31578775
Sum19130.645
Variance0.048156011
MonotonicityNot monotonic
2024-05-10T20:41:15.791260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.48591089 2
 
0.4%
37.683315 1
 
0.2%
37.4033651698 1
 
0.2%
37.2051937199 1
 
0.2%
37.48716841 1
 
0.2%
37.47363598 1
 
0.2%
37.540818 1
 
0.2%
37.41919108 1
 
0.2%
37.480695 1
 
0.2%
37.49617652 1
 
0.2%
Other values (500) 500
97.8%
ValueCountFrequency (%)
36.96491779 1
0.2%
36.9752522325 1
0.2%
36.98936154 1
0.2%
36.9901366 1
0.2%
36.9941093434 1
0.2%
36.995854 1
0.2%
36.99615234 1
0.2%
36.9983075421 1
0.2%
36.9998353858 1
0.2%
37.00223171 1
0.2%
ValueCountFrequency (%)
38.0981105 1
0.2%
38.08772182 1
0.2%
38.0323136 1
0.2%
38.00570829 1
0.2%
37.954934 1
0.2%
37.95428304 1
0.2%
37.9218823 1
0.2%
37.91211561 1
0.2%
37.908101 1
0.2%
37.90677664 1
0.2%

경도
Real number (ℝ)

UNIQUE 

Distinct511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01146
Minimum126.00768
Maximum127.75469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-10T20:41:16.210179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.00768
5-th percentile126.74135
Q1126.82479
median126.99637
Q3127.13464
95-th percentile127.43899
Maximum127.75469
Range1.7470092
Interquartile range (IQR)0.3098533

Descriptive statistics

Standard deviation0.21699107
Coefficient of variation (CV)0.001708437
Kurtosis1.2970902
Mean127.01146
Median Absolute Deviation (MAD)0.15095856
Skewness0.58232833
Sum64902.854
Variance0.047085124
MonotonicityNot monotonic
2024-05-10T20:41:16.599753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.491015 1
 
0.2%
127.352981 1
 
0.2%
127.4432793407 1
 
0.2%
127.6630221302 1
 
0.2%
127.5962168 1
 
0.2%
127.494309 1
 
0.2%
127.6385713 1
 
0.2%
127.6735088 1
 
0.2%
127.7546882 1
 
0.2%
127.478067 1
 
0.2%
Other values (501) 501
98.0%
ValueCountFrequency (%)
126.007679 1
0.2%
126.583117294 1
0.2%
126.5920603 1
0.2%
126.6314373 1
0.2%
126.639769744 1
0.2%
126.6766167 1
0.2%
126.6915053757 1
0.2%
126.700967 1
0.2%
126.7029598 1
0.2%
126.711349 1
0.2%
ValueCountFrequency (%)
127.7546882 1
0.2%
127.708314 1
0.2%
127.6834120046 1
0.2%
127.6735088 1
0.2%
127.6630221302 1
0.2%
127.6511865479 1
0.2%
127.6385713 1
0.2%
127.6252300415 1
0.2%
127.6152057 1
0.2%
127.5962168 1
0.2%

데이터기준일자
Date

Distinct28
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2023-03-02 00:00:00
Maximum2024-01-02 00:00:00
2024-05-10T20:41:16.944979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:17.259896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

시군명
Categorical

Distinct32
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
성남시
44 
군포시
41 
부천시
36 
고양시
35 
시흥시
 
32
Other values (27)
323 

Length

Max length12
Median length3
Mean length3.0919765
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row고양시

Common Values

ValueCountFrequency (%)
성남시 44
 
8.6%
군포시 41
 
8.0%
부천시 36
 
7.0%
고양시 35
 
6.8%
시흥시 32
 
6.3%
화성시 29
 
5.7%
수원시 26
 
5.1%
용인시 25
 
4.9%
안산시 25
 
4.9%
파주시 22
 
4.3%
Other values (22) 196
38.4%

Length

2024-05-10T20:41:17.579674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 44
 
8.6%
군포시 41
 
8.0%
부천시 36
 
7.0%
고양시 35
 
6.8%
시흥시 32
 
6.2%
화성시 29
 
5.7%
수원시 26
 
5.1%
용인시 25
 
4.9%
안산시 25
 
4.9%
파주시 22
 
4.3%
Other values (22) 197
38.5%

Sample

도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자시군명
0가평군 설악도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:594277707431581714경기도 가평군 설악면 자잠로 65 가평설악도서관경기도 가평군031-580-43133693.01470.0www.gaplib.go.kr37.683315127.4910152023-06-21가평군
1가평군 조종도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:597277327391972714경기도 가평군 조종면 조종희망로 26번길22경기도 가평군031-580-43012692.01502.0www.gaplib.go.kr37.81829127.3529812023-06-21가평군
2가평군 한석봉도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:59119140341445536714경기도 가평군 가평읍 문화로 187경기도 가평군031-580-40417485.03602.0www.gaplib.go.kr37.829691127.5064332023-06-21가평군
3가평군 청평도서관경기도가평군공공도서관1월 1일+설 연휴+추석연휴07:0023:5907:0023:5907:0023:5911081120391546714경기도 가평군 청평면 은고개로 31경기도 가평군031-580-43324500.02486.0www.gaplib.go.kr37.739591127.424232023-06-21가평군
4행신어린이도서관경기도고양시어린이도서관두 번째 월+네 번째 월+법정공휴일(일요일 제외)09:0018:0009:0018:0009:0018:00010146845970714경기도 고양시 덕양구 소원로181번길 42(행신동)경기도 고양시청031-8075-92781050.51687.72https://www.goyanglib.or.kr/MH/index.do37.614791126.8434662023-03-28고양시
5풍동도서관경기도고양시공공도서관첫 번째 월+세 번째 월+법정공휴일(일요일 제외)09:0022:0009:0018:0009:0018:000886511011552714경기도 고양시 일산동구 숲속마을로 108(풍동)경기도 고양시청031-8075-914851109.31574.13https://www.goyanglib.or.kr/ML/index.do37.67073126.7971232023-03-28고양시
6화전작은도서관경기도고양시작은도서관일+첫째 주 월+첫째 주 토+셋째 주 토+다섯째 주 토+법정공휴일10:0018:0010:0014:0000:0000:000192718417514경기도 고양시 덕양구 화랑로 1-1(화전동)경기도 고양시 화전동 주민자치위원회02-3159-2266100.0100.0https://cafe.naver.com/hjslib37.599469126.8727732023-03-28고양시
7화정어린이도서관경기도고양시어린이도서관첫 번째 월+세 번째 월+법정공휴일(일요일 제외)09:0018:0009:0018:0009:0018:000101109291137714경기도 고양시 덕양구 화신로 323(화정동)경기도 고양시청031-8075-92991002.11688.7https://www.goyanglib.or.kr/MI/index.do37.632833126.8263032023-03-28고양시
8가좌도서관경기도고양시공공도서관첫 번째 월+세 번째 월+법정공휴일(일요일 제외)07:0023:0007:0023:0007:0023:00122781081171313714경기도 고양시 일산서구 가좌3로 16(가좌동)경기도 고양시청031-8075-93801622.04159.54https://www.goyanglib.or.kr/MT/index.do37.686165126.72032023-03-28고양시
9삼송도서관경기도고양시공공도서관첫 번째 월+세 번째 월+법정공휴일(일요일 제외)07:0023:0007:0023:0007:0023:00110803451411051714경기도 고양시 덕양구 덕수천1로 73(삼송동)경기도 고양시청031-8075-936045016.03836.14https://www.goyanglib.or.kr/MP/index.do37.648863126.8848542023-03-28고양시
도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자시군명
501마도작은도서관경기도화성시작은도서관매주 토,일요일 및 법정공휴일10:0018:0000:0000:0000:0000:0020934180714경기도 화성시 마도면 마도북로 389경기도 화성시청031-5189-23386022.0131.0www.hscitylib.or.kr37.205486126.7696452023-10-31화성시
502달빛나래어린이도서관경기도화성시공공도서관매월 첫 번째 월요일, 일요일을 제외한 법정공휴일09:0018:0009:0018:0009:0018:007018716210714경기도 화성시 영통로60번길 15화성시문화재단031-273-887810222.0729.0www.hscitylib.or.kr37.202267126.8227982023-10-31화성시
503서연이음터도서관경기도화성시공공도서관매월 첫 번째 월요일, 일요일을 제외한 법정공휴일09:0022:0009:0018:0009:0018:0014041634550714경기도 화성시 동탄순환대로8길 57화성시인재육성재단031-378-135212946.0739.0www.hscitylib.or.kr37.16059127.1096572023-10-31화성시
504왕배푸른숲도서관경기도화성시공공도서관매월 두 번째 월요일, 일요일을 제외한 법정공휴일09:0022:0009:0018:0009:0018:0021851758310714경기도 화성시 동탄대로12길 102화성시문화재단031-372-4435282284.02192.51www.hscitylib.or.kr37.193415127.1185312023-10-31화성시
505목동이음터도서관경기도화성시공공도서관매월 첫 번째 월요일, 일요일을 제외한 법정공휴일09:0022:0009:0018:0009:0018:0016875088177565714경기도 화성시 동탄순환대로20길 6화성시문화재단031-378-67712700.01774.0www.hscitylib.or.kr37.189296127.1238982023-10-31화성시
506송린이음터도서관경기도화성시공공도서관매월 두 번째 월요일, 일요일을 제외한 법정공휴일09:0022:0009:0018:0009:0018:0020459665620714경기도 화성시 수노을2로 150화성시문화재단031-356-96803765.01141.0www.hscitylib.or.kr37.277323126.8225292023-10-31화성시
507경기화성교육도서관경기도화성시공공도서관월+국가지정공휴일09:0020:0009:0017:0009:0017:0049110612637688511014경기도 화성시 향남읍 발안로 85-10경기화성교육도서관031-369-57004552.02372.0http://lib.goe.go.kr/hs37.13313126.9202562023-12-01화성시
508정남도서관경기도화성시공공도서관매월 첫 번째 월요일, 일요일을 제외한 법정공휴일09:0022:0009:0018:0009:0018:008345673571632714경기도 화성시 정남면 만년로 527화성시문화재단031-8059-49461713.0533.4www.hscitylib.or.kr37.168222126.9831642023-10-31화성시
509봉담커피앤북작은도서관경기도화성시작은도서관매주 토,일요일 및 법정공휴일10:0018:0000:0000:0000:0000:00251108390714경기도 화성시 봉담읍 상리3길 38경기도 화성시청070-4040-983332235.093.0www.hscitylib.or.kr37.209146126.7657562023-10-31화성시
510늘봄이음터작은도서관경기도화성시작은도서관매주 일,월요일 및 법정공휴일09:0018:0009:0018:0000:0000:00217448120714경기도 화성시 동탄대로24길 49, 3층화성시인재육성재단031-378-569611085.0138.0www.hscitylib.or.kr37.217076127.1093342023-10-31화성시