Overview

Dataset statistics

Number of variables9
Number of observations1488
Missing cells156
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.6 KiB
Average record size in memory76.1 B

Variable types

Numeric4
Text4
Categorical1

Dataset

Description도서관 일련번호,도서관명,구 코드,구명,주소,정기 휴관일,전화번호,위도,경도
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15479/S/1/datasetView.do

Alerts

구 코드 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 구 코드 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구명High correlation
구명 is highly overall correlated with 구 코드 and 2 other fieldsHigh correlation
정기 휴관일 has 34 (2.3%) missing valuesMissing
전화번호 has 122 (8.2%) missing valuesMissing
도서관 일련번호 has unique valuesUnique

Reproduction

Analysis started2024-05-18 00:41:57.677402
Analysis finished2024-05-18 00:42:07.501803
Duration9.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관 일련번호
Real number (ℝ)

UNIQUE 

Distinct1488
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1482.2043
Minimum1
Maximum2840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T09:42:07.772104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile80.35
Q1546.75
median1610.5
Q32426.25
95-th percentile2754.65
Maximum2840
Range2839
Interquartile range (IQR)1879.5

Descriptive statistics

Standard deviation913.01926
Coefficient of variation (CV)0.61598746
Kurtosis-1.3456499
Mean1482.2043
Median Absolute Deviation (MAD)902
Skewness-0.14352907
Sum2205520
Variance833604.17
MonotonicityNot monotonic
2024-05-18T09:42:08.527871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2413 1
 
0.1%
2514 1
 
0.1%
1756 1
 
0.1%
2830 1
 
0.1%
2792 1
 
0.1%
1653 1
 
0.1%
625 1
 
0.1%
54 1
 
0.1%
2828 1
 
0.1%
2515 1
 
0.1%
Other values (1478) 1478
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
2840 1
0.1%
2839 1
0.1%
2838 1
0.1%
2837 1
0.1%
2836 1
0.1%
2835 1
0.1%
2834 1
0.1%
2833 1
0.1%
2832 1
0.1%
2831 1
0.1%

도서관명
Text

Distinct1451
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T09:42:09.444104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.5483871
Min length3

Characters and Unicode

Total characters14208
Distinct characters579
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1421 ?
Unique (%)95.5%

Sample

1st rowBIBLIOTECA
2nd rowLH강남3단지작은도서관
3rd row休+밤토리SH작은도서관
4th row강남구립못골도서관
5th row강남데시앙파크작은도서관
ValueCountFrequency (%)
작은도서관 115
 
6.7%
도서관 11
 
0.6%
꿈꾸는작은도서관 7
 
0.4%
북카페도서관 6
 
0.3%
다독다독 5
 
0.3%
자료실 3
 
0.2%
하늘꿈작은도서관 3
 
0.2%
해오름작은도서관 3
 
0.2%
작은 3
 
0.2%
꿈꾸는 3
 
0.2%
Other values (1522) 1561
90.8%
2024-05-18T09:42:10.846891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 1388
 
9.8%
도 1328
 
9.3%
관 1284
 
9.0%
은 801
 
5.6%
작 768
 
5.4%
동 318
 
2.2%
236
 
1.7%
문 183
 
1.3%
이 178
 
1.3%
마 173
 
1.2%
Other values (569) 7551
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13436
94.6%
Decimal Number 240
 
1.7%
Space Separator 236
 
1.7%
Uppercase Letter 145
 
1.0%
Lowercase Letter 51
 
0.4%
Open Punctuation 40
 
0.3%
Close Punctuation 40
 
0.3%
Other Punctuation 15
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1388
 
10.3%
도 1328
 
9.9%
관 1284
 
9.6%
은 801
 
6.0%
작 768
 
5.7%
동 318
 
2.4%
문 183
 
1.4%
이 178
 
1.3%
마 173
 
1.3%
고 136
 
1.0%
Other values (511) 6879
51.2%
Uppercase Letter
ValueCountFrequency (%)
H 32
22.1%
S 32
22.1%
B 10
 
6.9%
C 9
 
6.2%
L 8
 
5.5%
O 7
 
4.8%
K 7
 
4.8%
T 5
 
3.4%
I 5
 
3.4%
E 4
 
2.8%
Other values (11) 26
17.9%
Lowercase Letter
ValueCountFrequency (%)
o 8
15.7%
e 8
15.7%
i 6
11.8%
k 6
11.8%
r 5
9.8%
s 4
7.8%
l 3
 
5.9%
b 2
 
3.9%
u 2
 
3.9%
g 1
 
2.0%
Other values (6) 6
11.8%
Decimal Number
ValueCountFrequency (%)
1 80
33.3%
2 66
27.5%
3 32
 
13.3%
4 23
 
9.6%
5 12
 
5.0%
7 9
 
3.8%
6 9
 
3.8%
9 5
 
2.1%
0 2
 
0.8%
8 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 6
40.0%
, 4
26.7%
& 4
26.7%
? 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 39
97.5%
[ 1
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 39
97.5%
] 1
 
2.5%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13431
94.5%
Common 576
 
4.1%
Latin 196
 
1.4%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1388
 
10.3%
도 1328
 
9.9%
관 1284
 
9.6%
은 801
 
6.0%
작 768
 
5.7%
동 318
 
2.4%
문 183
 
1.4%
이 178
 
1.3%
마 173
 
1.3%
고 136
 
1.0%
Other values (506) 6874
51.2%
Latin
ValueCountFrequency (%)
H 32
16.3%
S 32
16.3%
B 10
 
5.1%
C 9
 
4.6%
o 8
 
4.1%
L 8
 
4.1%
e 8
 
4.1%
O 7
 
3.6%
K 7
 
3.6%
i 6
 
3.1%
Other values (27) 69
35.2%
Common
ValueCountFrequency (%)
236
41.0%
1 80
 
13.9%
2 66
 
11.5%
( 39
 
6.8%
) 39
 
6.8%
3 32
 
5.6%
4 23
 
4.0%
5 12
 
2.1%
7 9
 
1.6%
6 9
 
1.6%
Other values (11) 31
 
5.4%
Han
ValueCountFrequency (%)
積 1
20.0%
愛 1
20.0%
書 1
20.0%
家 1
20.0%
休 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13431
94.5%
ASCII 772
 
5.4%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 1388
 
10.3%
도 1328
 
9.9%
관 1284
 
9.6%
은 801
 
6.0%
작 768
 
5.7%
동 318
 
2.4%
문 183
 
1.4%
이 178
 
1.3%
마 173
 
1.3%
고 136
 
1.0%
Other values (506) 6874
51.2%
ASCII
ValueCountFrequency (%)
236
30.6%
1 80
 
10.4%
2 66
 
8.5%
( 39
 
5.1%
) 39
 
5.1%
H 32
 
4.1%
S 32
 
4.1%
3 32
 
4.1%
4 23
 
3.0%
5 12
 
1.6%
Other values (48) 181
23.4%
CJK
ValueCountFrequency (%)
積 1
20.0%
愛 1
20.0%
書 1
20.0%
家 1
20.0%
休 1
20.0%

구 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.873656
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T09:42:11.333050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median13
Q319
95-th percentile25
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3970971
Coefficient of variation (CV)0.5745918
Kurtosis-1.235449
Mean12.873656
Median Absolute Deviation (MAD)6
Skewness0.02468791
Sum19156
Variance54.717046
MonotonicityNot monotonic
2024-05-18T09:42:11.867413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 90
 
6.0%
9 89
 
6.0%
16 83
 
5.6%
7 82
 
5.5%
1 80
 
5.4%
19 78
 
5.2%
10 69
 
4.6%
3 64
 
4.3%
17 63
 
4.2%
8 62
 
4.2%
Other values (15) 728
48.9%
ValueCountFrequency (%)
1 80
5.4%
2 56
3.8%
3 64
4.3%
4 61
4.1%
5 58
3.9%
6 29
 
1.9%
7 82
5.5%
8 62
4.2%
9 89
6.0%
10 69
4.6%
ValueCountFrequency (%)
25 90
6.0%
24 43
2.9%
23 45
3.0%
22 61
4.1%
21 51
3.4%
20 57
3.8%
19 78
5.2%
18 55
3.7%
17 63
4.2%
16 83
5.6%

구명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
구로구
 
90
송파구
 
89
은평구
 
83
서초구
 
82
강서구
 
80
Other values (20)
1064 

Length

Max length4
Median length3
Mean length3.0712366
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구로구 90
 
6.0%
송파구 89
 
6.0%
은평구 83
 
5.6%
서초구 82
 
5.5%
강서구 80
 
5.4%
성북구 78
 
5.2%
강동구 69
 
4.6%
영등포구 64
 
4.3%
종로구 63
 
4.2%
강남구 62
 
4.2%
Other values (15) 728
48.9%

Length

2024-05-18T09:42:12.339352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구로구 90
 
6.0%
송파구 89
 
6.0%
은평구 83
 
5.6%
서초구 82
 
5.5%
강서구 80
 
5.4%
성북구 78
 
5.2%
강동구 69
 
4.6%
영등포구 64
 
4.3%
종로구 63
 
4.2%
강남구 62
 
4.2%
Other values (15) 728
48.9%

주소
Text

Distinct1484
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T09:42:13.351646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length28.247312
Min length12

Characters and Unicode

Total characters42032
Distinct characters495
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

Unique1480 ?
Unique (%)99.5%

Sample

1st row서울특별시 강남구 도산대로 25길 15-4 1층
2nd row서울특별시 강남구 자곡로3길 22
3rd row서울특별시 강남구 밤고개로26길 50(율현동, 강남한신휴플러스6단지)
4th row서울특별시 강남구 자곡로 116
5th row서울특별시 강남구 헌릉로590길 63 데시앙파크도서관
ValueCountFrequency (%)
서울특별시 1473
 
17.6%
2층 296
 
3.5%
1층 190
 
2.3%
3층 117
 
1.4%
구로구 89
 
1.1%
송파구 89
 
1.1%
은평구 85
 
1.0%
서초구 82
 
1.0%
강서구 81
 
1.0%
성북구 77
 
0.9%
Other values (2947) 5811
69.3%
2024-05-18T09:42:15.129378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7234
 
17.2%
서 1848
 
4.4%
구 1648
 
3.9%
로 1617
 
3.8%
1 1589
 
3.8%
시 1537
 
3.7%
울 1514
 
3.6%
별 1487
 
3.5%
특 1477
 
3.5%
2 1222
 
2.9%
Other values (485) 20859
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26747
63.6%
Space Separator 7234
 
17.2%
Decimal Number 6944
 
16.5%
Close Punctuation 284
 
0.7%
Open Punctuation 283
 
0.7%
Other Punctuation 252
 
0.6%
Dash Punctuation 190
 
0.5%
Uppercase Letter 80
 
0.2%
Math Symbol 12
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1848
 
6.9%
구 1648
 
6.2%
로 1617
 
6.0%
시 1537
 
5.7%
울 1514
 
5.7%
별 1487
 
5.6%
특 1477
 
5.5%
동 1076
 
4.0%
길 855
 
3.2%
층 851
 
3.2%
Other values (443) 12837
48.0%
Uppercase Letter
ValueCountFrequency (%)
B 23
28.7%
S 9
 
11.2%
K 8
 
10.0%
L 6
 
7.5%
H 6
 
7.5%
C 4
 
5.0%
P 3
 
3.8%
A 3
 
3.8%
T 3
 
3.8%
D 2
 
2.5%
Other values (10) 13
16.2%
Decimal Number
ValueCountFrequency (%)
1 1589
22.9%
2 1222
17.6%
3 866
12.5%
4 627
 
9.0%
5 540
 
7.8%
0 537
 
7.7%
6 448
 
6.5%
7 438
 
6.3%
9 348
 
5.0%
8 329
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 241
95.6%
. 6
 
2.4%
? 4
 
1.6%
& 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
c 2
33.3%
k 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 284
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26747
63.6%
Common 15199
36.2%
Latin 86
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1848
 
6.9%
구 1648
 
6.2%
로 1617
 
6.0%
시 1537
 
5.7%
울 1514
 
5.7%
별 1487
 
5.6%
특 1477
 
5.5%
동 1076
 
4.0%
길 855
 
3.2%
층 851
 
3.2%
Other values (443) 12837
48.0%
Latin
ValueCountFrequency (%)
B 23
26.7%
S 9
 
10.5%
K 8
 
9.3%
L 6
 
7.0%
H 6
 
7.0%
C 4
 
4.7%
e 3
 
3.5%
P 3
 
3.5%
A 3
 
3.5%
T 3
 
3.5%
Other values (13) 18
20.9%
Common
ValueCountFrequency (%)
7234
47.6%
1 1589
 
10.5%
2 1222
 
8.0%
3 866
 
5.7%
4 627
 
4.1%
5 540
 
3.6%
0 537
 
3.5%
6 448
 
2.9%
7 438
 
2.9%
9 348
 
2.3%
Other values (9) 1350
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26746
63.6%
ASCII 15285
36.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7234
47.3%
1 1589
 
10.4%
2 1222
 
8.0%
3 866
 
5.7%
4 627
 
4.1%
5 540
 
3.5%
0 537
 
3.5%
6 448
 
2.9%
7 438
 
2.9%
9 348
 
2.3%
Other values (32) 1436
 
9.4%
Hangul
ValueCountFrequency (%)
서 1848
 
6.9%
구 1648
 
6.2%
로 1617
 
6.0%
시 1537
 
5.7%
울 1514
 
5.7%
별 1487
 
5.6%
특 1477
 
5.5%
동 1076
 
4.0%
길 855
 
3.2%
층 851
 
3.2%
Other values (442) 12836
48.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

정기 휴관일
Text

MISSING 

Distinct257
Distinct (%)17.7%
Missing34
Missing (%)2.3%
Memory size11.8 KiB
2024-05-18T09:42:15.799539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length10.046768
Min length1

Characters and Unicode

Total characters14608
Distinct characters131
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)10.3%

Sample

1st row휴관중
2nd row휴관중
3rd row매주 월요일, 토요일
4th row매주 화요일 및 법정공휴일
5th row휴관중
ValueCountFrequency (%)
법정공휴일 486
14.7%
일요일 426
12.9%
매주 277
 
8.4%
월요일 230
 
6.9%
공휴일 227
 
6.9%
토요일 195
 
5.9%
및 186
 
5.6%
토 119
 
3.6%
일 112
 
3.4%
토,일요일 93
 
2.8%
Other values (192) 959
29.0%
2024-05-18T09:42:16.858674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 3336
22.8%
1857
12.7%
, 1558
10.7%
요 1339
9.2%
휴 1071
 
7.3%
공 961
 
6.6%
정 707
 
4.8%
법 693
 
4.7%
토 673
 
4.6%
주 363
 
2.5%
Other values (121) 2050
14.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10940
74.9%
Space Separator 1857
 
12.7%
Other Punctuation 1607
 
11.0%
Decimal Number 118
 
0.8%
Open Punctuation 40
 
0.3%
Close Punctuation 40
 
0.3%
Math Symbol 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3336
30.5%
요 1339
12.2%
휴 1071
 
9.8%
공 961
 
8.8%
정 707
 
6.5%
법 693
 
6.3%
토 673
 
6.2%
주 363
 
3.3%
월 356
 
3.3%
매 337
 
3.1%
Other values (103) 1104
 
10.1%
Decimal Number
ValueCountFrequency (%)
1 47
39.8%
2 29
24.6%
4 17
 
14.4%
3 12
 
10.2%
5 6
 
5.1%
8 4
 
3.4%
6 1
 
0.8%
7 1
 
0.8%
0 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 1558
97.0%
/ 25
 
1.6%
. 16
 
1.0%
? 8
 
0.5%
Space Separator
ValueCountFrequency (%)
1857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10940
74.9%
Common 3668
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3336
30.5%
요 1339
12.2%
휴 1071
 
9.8%
공 961
 
8.8%
정 707
 
6.5%
법 693
 
6.3%
토 673
 
6.2%
주 363
 
3.3%
월 356
 
3.3%
매 337
 
3.1%
Other values (103) 1104
 
10.1%
Common
ValueCountFrequency (%)
1857
50.6%
, 1558
42.5%
1 47
 
1.3%
( 40
 
1.1%
) 40
 
1.1%
2 29
 
0.8%
/ 25
 
0.7%
4 17
 
0.5%
. 16
 
0.4%
3 12
 
0.3%
Other values (8) 27
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10940
74.9%
ASCII 3668
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 3336
30.5%
요 1339
12.2%
휴 1071
 
9.8%
공 961
 
8.8%
정 707
 
6.5%
법 693
 
6.3%
토 673
 
6.2%
주 363
 
3.3%
월 356
 
3.3%
매 337
 
3.1%
Other values (103) 1104
 
10.1%
ASCII
ValueCountFrequency (%)
1857
50.6%
, 1558
42.5%
1 47
 
1.3%
( 40
 
1.1%
) 40
 
1.1%
2 29
 
0.8%
/ 25
 
0.7%
4 17
 
0.5%
. 16
 
0.4%
3 12
 
0.3%
Other values (8) 27
 
0.7%

전화번호
Text

MISSING 

Distinct1357
Distinct (%)99.3%
Missing122
Missing (%)8.2%
Memory size11.8 KiB
2024-05-18T09:42:17.720484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length11.756223
Min length8

Characters and Unicode

Total characters16059
Distinct characters34
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1348 ?
Unique (%)98.7%

Sample

1st row02-459-8700
2nd row02-2226-7942
3rd row02-459-5522
4th row02-451-7070
5th row02-2051-1178
ValueCountFrequency (%)
02-792-7933 2
 
0.1%
02-3477-8655 2
 
0.1%
02-877-9864 2
 
0.1%
02-302-3105 2
 
0.1%
02-582-9191 2
 
0.1%
02-988-5027 2
 
0.1%
02-354-1651 2
 
0.1%
02-970-8445 2
 
0.1%
02-6458-2062 2
 
0.1%
02-400-6950 1
 
0.1%
Other values (1360) 1360
98.6%
2024-05-18T09:42:19.226980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2736
17.0%
0 2653
16.5%
2 2601
16.2%
1 1041
 
6.5%
7 1037
 
6.5%
6 1030
 
6.4%
3 1019
 
6.3%
4 1016
 
6.3%
9 969
 
6.0%
5 952
 
5.9%
Other values (24) 1005
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13223
82.3%
Dash Punctuation 2736
 
17.0%
Other Letter 26
 
0.2%
Math Symbol 22
 
0.1%
Space Separator 15
 
0.1%
Other Punctuation 14
 
0.1%
Close Punctuation 12
 
0.1%
Open Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 3
11.5%
선 3
11.5%
료 2
 
7.7%
자 2
 
7.7%
소 2
 
7.7%
실 2
 
7.7%
리 2
 
7.7%
관 2
 
7.7%
호 2
 
7.7%
사 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
0 2653
20.1%
2 2601
19.7%
1 1041
 
7.9%
7 1037
 
7.8%
6 1030
 
7.8%
3 1019
 
7.7%
4 1016
 
7.7%
9 969
 
7.3%
5 952
 
7.2%
8 905
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 8
57.1%
* 4
28.6%
. 1
 
7.1%
? 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2736
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16033
99.8%
Hangul 26
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2736
17.1%
0 2653
16.5%
2 2601
16.2%
1 1041
 
6.5%
7 1037
 
6.5%
6 1030
 
6.4%
3 1019
 
6.4%
4 1016
 
6.3%
9 969
 
6.0%
5 952
 
5.9%
Other values (9) 979
 
6.1%
Hangul
ValueCountFrequency (%)
내 3
11.5%
선 3
11.5%
료 2
 
7.7%
자 2
 
7.7%
소 2
 
7.7%
실 2
 
7.7%
리 2
 
7.7%
관 2
 
7.7%
호 2
 
7.7%
사 1
 
3.8%
Other values (5) 5
19.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16033
99.8%
Hangul 26
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2736
17.1%
0 2653
16.5%
2 2601
16.2%
1 1041
 
6.5%
7 1037
 
6.5%
6 1030
 
6.4%
3 1019
 
6.4%
4 1016
 
6.3%
9 969
 
6.0%
5 952
 
5.9%
Other values (9) 979
 
6.1%
Hangul
ValueCountFrequency (%)
내 3
11.5%
선 3
11.5%
료 2
 
7.7%
자 2
 
7.7%
소 2
 
7.7%
실 2
 
7.7%
리 2
 
7.7%
관 2
 
7.7%
호 2
 
7.7%
사 1
 
3.8%
Other values (5) 5
19.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1439
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.549615
Minimum37.439297
Maximum37.688162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T09:42:19.773717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439297
5-th percentile37.470933
Q137.501543
median37.550001
Q337.587013
95-th percentile37.646063
Maximum37.688162
Range0.2488651
Interquartile range (IQR)0.085470625

Descriptive statistics

Standard deviation0.054737977
Coefficient of variation (CV)0.0014577507
Kurtosis-0.76355331
Mean37.549615
Median Absolute Deviation (MAD)0.0442878
Skewness0.27517791
Sum55873.827
Variance0.0029962461
MonotonicityNot monotonic
2024-05-18T09:42:20.421996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.47176041 5
 
0.3%
37.49742252 3
 
0.2%
37.55000134 3
 
0.2%
37.56665973 3
 
0.2%
37.50531416 2
 
0.1%
37.6102844 2
 
0.1%
37.45898011 2
 
0.1%
37.45309891 2
 
0.1%
37.48168732 2
 
0.1%
37.50622213 2
 
0.1%
Other values (1429) 1462
98.3%
ValueCountFrequency (%)
37.4392969 1
0.1%
37.44810272 1
0.1%
37.4487334 2
0.1%
37.4487939 1
0.1%
37.4492016 1
0.1%
37.4496304162832 1
0.1%
37.45114107 1
0.1%
37.45114196704 1
0.1%
37.45200429 1
0.1%
37.45229932 1
0.1%
ValueCountFrequency (%)
37.688162 1
0.1%
37.6876674374375 1
0.1%
37.68493479 1
0.1%
37.6848287 1
0.1%
37.68298934 1
0.1%
37.6810801 1
0.1%
37.68080449 1
0.1%
37.6799248 1
0.1%
37.6797059391084 1
0.1%
37.67869091 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1438
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99043
Minimum126.79887
Maximum127.18084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T09:42:21.032881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79887
5-th percentile126.83442
Q1126.91879
median127.00243
Q3127.05973
95-th percentile127.1382
Maximum127.18084
Range0.38196504
Interquartile range (IQR)0.14093905

Descriptive statistics

Standard deviation0.091276799
Coefficient of variation (CV)0.00071876914
Kurtosis-0.89467176
Mean126.99043
Median Absolute Deviation (MAD)0.07196005
Skewness-0.092274275
Sum188961.75
Variance0.008331454
MonotonicityNot monotonic
2024-05-18T09:42:21.702493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0881053 5
 
0.3%
127.1384372 3
 
0.2%
127.098123 3
 
0.2%
127.0032279 3
 
0.2%
126.8928724 2
 
0.1%
127.0346478 2
 
0.1%
127.0024962 2
 
0.1%
127.0641886 2
 
0.1%
127.002617935151 2
 
0.1%
126.9259953 2
 
0.1%
Other values (1428) 1462
98.3%
ValueCountFrequency (%)
126.7988721 1
0.1%
126.8041536 1
0.1%
126.8118064 1
0.1%
126.8136582 2
0.1%
126.8138354 2
0.1%
126.814849 1
0.1%
126.815772 1
0.1%
126.8170501 1
0.1%
126.8170781 1
0.1%
126.8175009 1
0.1%
ValueCountFrequency (%)
127.180837138837 1
0.1%
127.179992858104 1
0.1%
127.178358990921 1
0.1%
127.1764168 1
0.1%
127.176167 1
0.1%
127.1760796 1
0.1%
127.175179201458 1
0.1%
127.174804893718 1
0.1%
127.174085693366 1
0.1%
127.1739073 1
0.1%

Interactions

2024-05-18T09:42:04.703171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:00.049372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:01.688826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:03.156655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:05.006335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:00.624824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:02.087336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:03.555585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:05.310233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:00.981136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:02.452061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:03.952271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:05.650218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:01.303471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:02.748880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:04.399315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T09:42:22.064498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드구명위도경도
도서관 일련번호1.0000.5240.6500.3860.333
구 코드0.5241.0001.0000.8820.884
구명0.6501.0001.0000.9080.928
위도0.3860.8820.9081.0000.581
경도0.3330.8840.9280.5811.000
2024-05-18T09:42:22.384269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드위도경도구명
도서관 일련번호1.000-0.005-0.0120.0170.290
구 코드-0.0051.0000.5220.2890.995
위도-0.0120.5221.0000.1820.609
경도0.0170.2890.1821.0000.661
구명0.2900.9950.6090.6611.000

Missing values

2024-05-18T09:42:06.267015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T09:42:06.997092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-18T09:42:07.399516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

도서관 일련번호도서관명구 코드구명주소정기 휴관일전화번호위도경도
02413BIBLIOTECA8강남구서울특별시 강남구 도산대로 25길 15-4 1층휴관중<NA>37.52077127.024565
11571LH강남3단지작은도서관8강남구서울특별시 강남구 자곡로3길 22휴관중02-459-870037.469972127.091021
21848休+밤토리SH작은도서관8강남구서울특별시 강남구 밤고개로26길 50(율현동, 강남한신휴플러스6단지)매주 월요일, 토요일02-2226-794237.470543127.113773
31935강남구립못골도서관8강남구서울특별시 강남구 자곡로 116매주 화요일 및 법정공휴일02-459-552237.471538127.096582
42771강남데시앙파크작은도서관8강남구서울특별시 강남구 헌릉로590길 63 데시앙파크도서관휴관중02-451-707037.461047127.101541
51066강남역삼푸른솔도서관8강남구서울특별시 강남구 테헤란로8길 36. 4층매주 화요일 및 법정 공휴일02-2051-117837.496497127.032027
61845강남한신휴플러스8단지작은도서관8강남구서울특별시 강남구 밤고개로27길 20(율현동, 강남한신휴플러스8단지)휴관중02-445-983137.469713127.113016
71572강남한양수자인작은씨앗도서관8강남구서울특별시 강남구 자곡로 260토,일요일, 법정공휴일<NA>37.475861127.11349
8114개포4동작은도서관8강남구서울특별시 강남구 개포로38길 12 개포4동주민센터토,일요일, 법정공휴일02-3423-788437.478826127.051663
92815개포하늘꿈도서관8강남구서울특별시 강남구 개포로 110길 54매주 화요일 및 법정공휴일02-451-151137.490669127.080357
도서관 일련번호도서관명구 코드구명주소정기 휴관일전화번호위도경도
14781078중랑숲어린이도서관20중랑구서울특별시 중랑구 망우로73길 46-1(망우동)매주 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(12월1일)02-6235-115037.602663127.103926
14792838중화 작은도서관20중랑구서울특별시 중랑구 면목로48길 66-6토,일,공휴일02-556-392737.581637127.092354
14801688중화어린이도서관20중랑구서울특별시 중랑구 중랑역로3길 28 중화문화복지센터매주 일요일02-2094-184637.595045127.074709
14812839참기쁨 작은도서관20중랑구서울특별시 중랑구 중랑역로 167토,일,공휴일<NA>37.608343127.07627
14821900책깨비도서관20중랑구서울특별시 중랑구 용마산로 250-12 용마폭포공원법정공휴일, 혹한기(12~2월)070-4112-184337.57335127.089121
14832639책소리 작은도서관20중랑구서울특별시 중랑구 겸재로 138 2층월,공휴일02-432-475237.587071127.080828
14842640초록도서관20중랑구서울특별시 중랑구 신내로17길 13 2층금,토,일요일02-3421-060337.613736127.093021
14852747한양수자인 사가정파크 작은도서관20중랑구서울특별시 중랑구 사가정로72길 26 104동 1층연중무휴02-496-986637.580071127.093431
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