Overview

Dataset statistics

Number of variables12
Number of observations95
Missing cells58
Missing cells (%)5.1%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory9.3 KiB
Average record size in memory100.4 B

Variable types

Numeric3
Text3
DateTime1
Categorical5

Dataset

Description순천시 작은도서관 현황에 대한 데이터로, 도서관명, 개관일, 개관시간, 대출권수, 대출일수, 운영기관명, 전화번호 등의 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15063589/fileData.do

Alerts

Dataset has 1 (1.1%) duplicate rowsDuplicates
데이터기준일자 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
대출권수 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
운영기관명 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
개관시간 is highly overall correlated with 대출권수 and 3 other fieldsHigh correlation
대출일수 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 is highly overall correlated with 대출권수 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 대출권수 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 대출권수 and 3 other fieldsHigh correlation
대출권수 is highly imbalanced (66.0%)Imbalance
대출일수 is highly imbalanced (66.0%)Imbalance
운영기관명 is highly imbalanced (66.0%)Imbalance
데이터기준일자 is highly imbalanced (66.0%)Imbalance
연번 has 6 (6.3%) missing valuesMissing
도서관명 has 6 (6.3%) missing valuesMissing
개관일 has 6 (6.3%) missing valuesMissing
주소 has 6 (6.3%) missing valuesMissing
위도 has 14 (14.7%) missing valuesMissing
경도 has 14 (14.7%) missing valuesMissing
전화번호 has 6 (6.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:44:49.635655
Analysis finished2023-12-12 16:44:52.199679
Duration2.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct89
Distinct (%)100.0%
Missing6
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:44:52.275381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2023-12-13T01:44:52.417214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (79) 79
83.2%
(Missing) 6
 
6.3%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

도서관명
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing6
Missing (%)6.3%
Memory size892.0 B
2023-12-13T01:44:52.672817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.5393258
Min length3

Characters and Unicode

Total characters849
Distinct characters199
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row신성풀꽃작은도서관
2nd row조곡자치작은도서관
3rd row생목벽산꿈꾸는작은도서관
4th row송촌글마루작은도서관
5th row상사용암작은도서관
ValueCountFrequency (%)
하날다래작은도서관 1
 
1.1%
두산위브2차그로잉작은도서관 1
 
1.1%
에코시티작은도서관 1
 
1.1%
선평빛찬들작은도서관 1
 
1.1%
별량구룡작은도서관 1
 
1.1%
남양휴튼작은도서관 1
 
1.1%
화수목글방작은도서관 1
 
1.1%
황전지역작은도서관 1
 
1.1%
금당대주파크빌작은도서관 1
 
1.1%
향기나는작은도서관 1
 
1.1%
Other values (80) 80
88.9%
2023-12-13T01:44:53.072651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 84
 
9.9%
작 82
 
9.7%
은 82
 
9.7%
도 82
 
9.7%
관 82
 
9.7%
대 14
 
1.6%
차 11
 
1.3%
주 10
 
1.2%
) 9
 
1.1%
신 9
 
1.1%
Other values (189) 384
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 819
96.5%
Decimal Number 11
 
1.3%
Close Punctuation 9
 
1.1%
Open Punctuation 9
 
1.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 84
 
10.3%
작 82
 
10.0%
은 82
 
10.0%
도 82
 
10.0%
관 82
 
10.0%
대 14
 
1.7%
차 11
 
1.3%
주 10
 
1.2%
신 9
 
1.1%
나 8
 
1.0%
Other values (181) 355
43.3%
Decimal Number
ValueCountFrequency (%)
2 6
54.5%
1 2
 
18.2%
5 1
 
9.1%
6 1
 
9.1%
3 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
96.5%
Common 30
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 84
 
10.3%
작 82
 
10.0%
은 82
 
10.0%
도 82
 
10.0%
관 82
 
10.0%
대 14
 
1.7%
차 11
 
1.3%
주 10
 
1.2%
신 9
 
1.1%
나 8
 
1.0%
Other values (181) 355
43.3%
Common
ValueCountFrequency (%)
) 9
30.0%
( 9
30.0%
2 6
20.0%
1 2
 
6.7%
1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 819
96.5%
ASCII 30
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 84
 
10.3%
작 82
 
10.0%
은 82
 
10.0%
도 82
 
10.0%
관 82
 
10.0%
대 14
 
1.7%
차 11
 
1.3%
주 10
 
1.2%
신 9
 
1.1%
나 8
 
1.0%
Other values (181) 355
43.3%
ASCII
ValueCountFrequency (%)
) 9
30.0%
( 9
30.0%
2 6
20.0%
1 2
 
6.7%
1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%

개관일
Date

MISSING 

Distinct84
Distinct (%)94.4%
Missing6
Missing (%)6.3%
Memory size892.0 B
Minimum2004-05-21 00:00:00
Maximum2021-06-09 00:00:00
2023-12-13T01:44:53.236931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:53.381751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개관시간
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
월~금(13:00~18:00)
20 
월~금13:00~18:00
16 
월~금(13:30~18:30)
7 
<NA>
6 
월~금 13:00~18:00
 
3
Other values (40)
43 

Length

Max length56
Median length47
Mean length17.494737
Min length2

Unique

Unique37 ?
Unique (%)38.9%

Sample

1st row월~금(13:00~18:00)
2nd row월~금(13:00~18:00)
3rd row화~토(13:00~18:00)
4th row월~금(13:30~18:30)
5th row월,화,목,금(13:00~18:00),토(11:00~16:00)

Common Values

ValueCountFrequency (%)
월~금(13:00~18:00) 20
21.1%
월~금13:00~18:00 16
16.8%
월~금(13:30~18:30) 7
 
7.4%
<NA> 6
 
6.3%
월~금 13:00~18:00 3
 
3.2%
월~금 13:00~18:01 2
 
2.1%
휴관 2
 
2.1%
월~금(14:00~19:00) 2
 
2.1%
월~금(10:00~16:00) 1
 
1.1%
화~금(13:00~18:00),토(10:00~17:00),일(10:00~15:00) 1
 
1.1%
Other values (35) 35
36.8%

Length

2023-12-13T01:44:53.522388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월~금(13:00~18:00 20
19.6%
월~금13:00~18:00 16
15.7%
월~금(13:30~18:30 7
 
6.9%
월~금 7
 
6.9%
na 6
 
5.9%
13:00~18:00 3
 
2.9%
휴관 2
 
2.0%
월~금(14:00~19:00 2
 
2.0%
13:00~18:01 2
 
2.0%
화~일10:00~18:00 1
 
1.0%
Other values (36) 36
35.3%

대출권수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
20권
89 
<NA>
 
6

Length

Max length4
Median length3
Mean length3.0631579
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20권
2nd row20권
3rd row20권
4th row20권
5th row20권

Common Values

ValueCountFrequency (%)
20권 89
93.7%
<NA> 6
 
6.3%

Length

2023-12-13T01:44:53.649270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:53.787447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20권 89
93.7%
na 6
 
6.3%

대출일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
14일
89 
<NA>
 
6

Length

Max length4
Median length3
Mean length3.0631579
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row14일
2nd row14일
3rd row14일
4th row14일
5th row14일

Common Values

ValueCountFrequency (%)
14일 89
93.7%
<NA> 6
 
6.3%

Length

2023-12-13T01:44:53.920184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:54.014873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
14일 89
93.7%
na 6
 
6.3%

주소
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing6
Missing (%)6.3%
Memory size892.0 B
2023-12-13T01:44:54.263876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length21.05618
Min length8

Characters and Unicode

Total characters1874
Distinct characters201
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

Unique89 ?
Unique (%)100.0%

Sample

1st row순천시해룡면신성2길3,2층(마을회관)
2nd row순천시자경1길13(조곡동)(이전한주소)
3rd row순천시생목길1,지하1층(생목동,벽산A)
4th row순천시왕궁길95,104-106(조례동,송촌프라임A)
5th row순천시상사면용암길17,2층(마을회관)
ValueCountFrequency (%)
순천시해룡면 2
 
1.9%
순천시안산길50,관리동1층(연향동,코아루a 1
 
1.0%
순천시해룡면동명초등길7 1
 
1.0%
순천시봉화1길17 1
 
1.0%
순천시송광면쌍향수길1338자치센터2층 1
 
1.0%
순천시월등면송천송산길1 1
 
1.0%
순천시중앙로22 1
 
1.0%
순천시중앙로104지하상가 1
 
1.0%
순천시옥천길39,2층 1
 
1.0%
순천시자경1길13(조곡동)(이전한주소 1
 
1.0%
Other values (92) 92
89.3%
2023-12-13T01:44:54.733169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 106
 
5.7%
시 95
 
5.1%
순 91
 
4.9%
, 80
 
4.3%
1 71
 
3.8%
동 69
 
3.7%
길 68
 
3.6%
( 67
 
3.6%
) 67
 
3.6%
2 63
 
3.4%
Other values (191) 1097
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
69.4%
Decimal Number 310
 
16.5%
Other Punctuation 81
 
4.3%
Open Punctuation 67
 
3.6%
Close Punctuation 67
 
3.6%
Uppercase Letter 25
 
1.3%
Space Separator 14
 
0.7%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 106
 
8.2%
시 95
 
7.3%
순 91
 
7.0%
동 69
 
5.3%
길 68
 
5.2%
층 45
 
3.5%
면 33
 
2.5%
대 28
 
2.2%
로 26
 
2.0%
주 21
 
1.6%
Other values (173) 718
55.2%
Decimal Number
ValueCountFrequency (%)
1 71
22.9%
2 63
20.3%
5 32
10.3%
3 31
10.0%
0 24
 
7.7%
6 24
 
7.7%
9 22
 
7.1%
4 16
 
5.2%
7 15
 
4.8%
8 12
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 80
98.8%
. 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
A 19
76.0%
S 6
 
24.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
69.4%
Common 549
29.3%
Latin 25
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 106
 
8.2%
시 95
 
7.3%
순 91
 
7.0%
동 69
 
5.3%
길 68
 
5.2%
층 45
 
3.5%
면 33
 
2.5%
대 28
 
2.2%
로 26
 
2.0%
주 21
 
1.6%
Other values (173) 718
55.2%
Common
ValueCountFrequency (%)
, 80
14.6%
1 71
12.9%
( 67
12.2%
) 67
12.2%
2 63
11.5%
5 32
 
5.8%
3 31
 
5.6%
0 24
 
4.4%
6 24
 
4.4%
9 22
 
4.0%
Other values (6) 68
12.4%
Latin
ValueCountFrequency (%)
A 19
76.0%
S 6
 
24.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
69.4%
ASCII 574
30.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 106
 
8.2%
시 95
 
7.3%
순 91
 
7.0%
동 69
 
5.3%
길 68
 
5.2%
층 45
 
3.5%
면 33
 
2.5%
대 28
 
2.2%
로 26
 
2.0%
주 21
 
1.6%
Other values (173) 718
55.2%
ASCII
ValueCountFrequency (%)
, 80
13.9%
1 71
12.4%
( 67
11.7%
) 67
11.7%
2 63
11.0%
5 32
 
5.6%
3 31
 
5.4%
0 24
 
4.2%
6 24
 
4.2%
9 22
 
3.8%
Other values (8) 93
16.2%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct81
Distinct (%)100.0%
Missing14
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean34.953082
Minimum34.843247
Maximum35.103548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:44:54.968736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.843247
5-th percentile34.89317
Q134.933033
median34.947294
Q334.961668
95-th percentile35.066503
Maximum35.103548
Range0.26030059
Interquartile range (IQR)0.02863422

Descriptive statistics

Standard deviation0.043972106
Coefficient of variation (CV)0.0012580323
Kurtosis3.9393445
Mean34.953082
Median Absolute Deviation (MAD)0.01437345
Skewness1.3100435
Sum2831.1996
Variance0.0019335461
MonotonicityNot monotonic
2023-12-13T01:44:55.122235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.92655891 1
 
1.1%
34.94516934 1
 
1.1%
34.95525335 1
 
1.1%
34.92008575 1
 
1.1%
34.94333853 1
 
1.1%
34.93060327 1
 
1.1%
34.93303334 1
 
1.1%
34.94393422 1
 
1.1%
34.85464749 1
 
1.1%
34.94574807 1
 
1.1%
Other values (71) 71
74.7%
(Missing) 14
 
14.7%
ValueCountFrequency (%)
34.84324738 1
1.1%
34.85464749 1
1.1%
34.87368848 1
1.1%
34.8900732 1
1.1%
34.8931698 1
1.1%
34.90858673 1
1.1%
34.91438907 1
1.1%
34.91493646 1
1.1%
34.91812143 1
1.1%
34.92008575 1
1.1%
ValueCountFrequency (%)
35.10354797 1
1.1%
35.09224741 1
1.1%
35.08677006 1
1.1%
35.07682243 1
1.1%
35.06650336 1
1.1%
35.01842056 1
1.1%
34.99473249 1
1.1%
34.98937224 1
1.1%
34.98726116 1
1.1%
34.9853984 1
1.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct81
Distinct (%)100.0%
Missing14
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean127.48638
Minimum127.20168
Maximum127.57572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:44:55.293633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.20168
5-th percentile127.3366
Q1127.4843
median127.49861
Q3127.52821
95-th percentile127.55069
Maximum127.57572
Range0.374048
Interquartile range (IQR)0.0439085

Descriptive statistics

Standard deviation0.072429101
Coefficient of variation (CV)0.00056813206
Kurtosis4.9584046
Mean127.48638
Median Absolute Deviation (MAD)0.0277986
Skewness-2.1652471
Sum10326.397
Variance0.0052459747
MonotonicityNot monotonic
2023-12-13T01:44:55.442620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4500317 1
 
1.1%
127.5284482 1
 
1.1%
127.481046 1
 
1.1%
127.5559965 1
 
1.1%
127.5329143 1
 
1.1%
127.4929349 1
 
1.1%
127.4920005 1
 
1.1%
127.50125 1
 
1.1%
127.3856051 1
 
1.1%
127.5196755 1
 
1.1%
Other values (71) 71
74.7%
(Missing) 14
 
14.7%
ValueCountFrequency (%)
127.2016752 1
1.1%
127.2350609 1
1.1%
127.2638635 1
1.1%
127.2759212 1
1.1%
127.3365959 1
1.1%
127.3602667 1
1.1%
127.3776795 1
1.1%
127.3834021 1
1.1%
127.3856051 1
1.1%
127.4042148 1
1.1%
ValueCountFrequency (%)
127.5757232 1
1.1%
127.5742702 1
1.1%
127.5559965 1
1.1%
127.5510689 1
1.1%
127.55069 1
1.1%
127.5494377 1
1.1%
127.5475395 1
1.1%
127.5449045 1
1.1%
127.5442555 1
1.1%
127.544023 1
1.1%

운영기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
순천시도서관운영과
89 
<NA>
 
6

Length

Max length9
Median length9
Mean length8.6842105
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순천시도서관운영과 89
93.7%
<NA> 6
 
6.3%

Length

2023-12-13T01:44:55.568099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:55.655326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순천시도서관운영과 89
93.7%
na 6
 
6.3%

전화번호
Text

MISSING 

Distinct58
Distinct (%)65.2%
Missing6
Missing (%)6.3%
Memory size892.0 B
2023-12-13T01:44:55.865213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.089888
Min length12

Characters and Unicode

Total characters1076
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

Unique57 ?
Unique (%)64.0%

Sample

1st row061-749-6690
2nd row061-741-1230
3rd row061-901-2757
4th row061-725-0149
5th row061-749-6690
ValueCountFrequency (%)
061-749-6690 32
36.0%
061-744-2244 1
 
1.1%
061-749-6697 1
 
1.1%
061-901-2757 1
 
1.1%
061-727-3307 1
 
1.1%
061-723-1358 1
 
1.1%
070-7766-8715 1
 
1.1%
061-723-4322 1
 
1.1%
061-741-5660 1
 
1.1%
061-744-8636 1
 
1.1%
Other values (48) 48
53.9%
2023-12-13T01:44:56.233372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 186
17.3%
- 178
16.5%
0 159
14.8%
7 114
10.6%
1 113
10.5%
9 102
9.5%
4 90
8.4%
2 53
 
4.9%
8 29
 
2.7%
5 28
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 898
83.5%
Dash Punctuation 178
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 186
20.7%
0 159
17.7%
7 114
12.7%
1 113
12.6%
9 102
11.4%
4 90
10.0%
2 53
 
5.9%
8 29
 
3.2%
5 28
 
3.1%
3 24
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 186
17.3%
- 178
16.5%
0 159
14.8%
7 114
10.6%
1 113
10.5%
9 102
9.5%
4 90
8.4%
2 53
 
4.9%
8 29
 
2.7%
5 28
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 186
17.3%
- 178
16.5%
0 159
14.8%
7 114
10.6%
1 113
10.5%
9 102
9.5%
4 90
8.4%
2 53
 
4.9%
8 29
 
2.7%
5 28
 
2.6%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2021-07-23
89 
<NA>
 
6

Length

Max length10
Median length10
Mean length9.6210526
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-23
2nd row2021-07-23
3rd row2021-07-23
4th row2021-07-23
5th row2021-07-23

Common Values

ValueCountFrequency (%)
2021-07-23 89
93.7%
<NA> 6
 
6.3%

Length

2023-12-13T01:44:56.368270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:56.456184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-23 89
93.7%
na 6
 
6.3%

Interactions

2023-12-13T01:44:51.333178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:50.675516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:51.011948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:51.433325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:50.771091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:51.128582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:51.557996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:50.889548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:51.240569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:44:56.513115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도서관명개관일개관시간주소위도경도전화번호
연번1.0001.0000.9400.8111.0000.5050.2690.672
도서관명1.0001.0001.0001.0001.0001.0001.0001.000
개관일0.9401.0001.0000.9491.0000.7740.0000.993
개관시간0.8111.0000.9491.0001.0000.8010.0000.913
주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.5051.0000.7740.8011.0001.0000.8400.000
경도0.2691.0000.0000.0001.0000.8401.0000.000
전화번호0.6721.0000.9930.9131.0000.0000.0001.000
2023-12-13T01:44:56.635427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터기준일자대출권수운영기관명개관시간대출일수
데이터기준일자1.0001.0001.0001.0001.000
대출권수1.0001.0001.0001.0001.000
운영기관명1.0001.0001.0001.0001.000
개관시간1.0001.0001.0001.0001.000
대출일수1.0001.0001.0001.0001.000
2023-12-13T01:44:57.057447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도개관시간대출권수대출일수운영기관명데이터기준일자
연번1.0000.004-0.2090.3311.0001.0001.0001.000
위도0.0041.000-0.2340.3301.0001.0001.0001.000
경도-0.209-0.2341.0000.0001.0001.0001.0001.000
개관시간0.3310.3300.0001.0001.0001.0001.0001.000
대출권수1.0001.0001.0001.0001.0001.0001.0001.000
대출일수1.0001.0001.0001.0001.0001.0001.0001.000
운영기관명1.0001.0001.0001.0001.0001.0001.0001.000
데이터기준일자1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T01:44:51.708546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:44:51.859388image/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.
2023-12-13T01:44:52.034573image/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

연번도서관명개관일개관시간대출권수대출일수주소위도경도운영기관명전화번호데이터기준일자
01신성풀꽃작은도서관2004-05-21월~금(13:00~18:00)20권14일순천시해룡면신성2길3,2층(마을회관)34.914936127.575723순천시도서관운영과061-749-66902021-07-23
12조곡자치작은도서관2004-07-14월~금(13:00~18:00)20권14일순천시자경1길13(조곡동)(이전한주소)34.950089127.498607순천시도서관운영과061-741-12302021-07-23
23생목벽산꿈꾸는작은도서관2004-07-28화~토(13:00~18:00)20권14일순천시생목길1,지하1층(생목동,벽산A)34.952192127.507977순천시도서관운영과061-901-27572021-07-23
34송촌글마루작은도서관2004-07-29월~금(13:30~18:30)20권14일순천시왕궁길95,104-106(조례동,송촌프라임A)34.959561127.534213순천시도서관운영과061-725-01492021-07-23
45상사용암작은도서관2004-08-06월,화,목,금(13:00~18:00),토(11:00~16:00)20권14일순천시상사면용암길17,2층(마을회관)34.926564127.439272순천시도서관운영과061-749-66902021-07-23
56동신별빛작은도서관2005-02-19월~금(13:30~18:30)20권14일순천시장선배기길55,2층(조례동,동신1차관리사무소)34.954738127.52962순천시도서관운영과061-902-57952021-07-23
67해룡소안작은도서관2005-02-19월,금(13:00~18:00)화,목(10:00~18:00),토(10:30~18:00)20권14일순천시해룡면소안길135,2층(경로당)34.932328127.527241순천시도서관운영과061-749-66902021-07-23
78남제자치작은도서관2005-03-14월~금(13:00~18:00)20권14일순천시남정5길1,2층(남정동,행정복지센터)34.940717127.488417순천시도서관운영과061-749-84712021-07-23
89주암광천작은도서관2005-03-05화~금(10:00~17:00),토(10:00~15:00)20권14일순천시주암면동주로2047,2층(주민자치센터)35.076822127.235061순천시도서관운영과061-749-66902021-07-23
910서면자치작은도서관2005-05-31월~금(13:00~18:00)20권14일순천시서면임촌동길94,2층(면사무소)34.994732127.488433순천시도서관운영과061-749-66902021-07-23
연번도서관명개관일개관시간대출권수대출일수주소위도경도운영기관명전화번호데이터기준일자
8586꽃피는 숲2021-03-15월~금 13:00~18:0020권14일순천시해룡면 신대로 96, 332-401(신대3차)<NA><NA>순천시도서관운영과061-749-66952021-07-23
8687라비마린2021-04-09월~금 19:00~22:0020권14일순천시북정3길25<NA><NA>순천시도서관운영과061-749-66962021-07-23
8788이편한2021-06-09월~금 13:00~18:0020권14일순천시용당동 삼산로 29<NA><NA>순천시도서관운영과061-749-66972021-07-23
8889관옥나무2014-11-25월~금 13:00~18:0120권14일순천시 해룡면 하사길 5<NA><NA>순천시도서관운영과061-749-66982021-07-23
89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
90<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번도서관명개관일개관시간대출권수대출일수주소위도경도운영기관명전화번호데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6