Overview

Dataset statistics

Number of variables12
Number of observations74
Missing cells8
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory99.8 B

Variable types

Text6
Numeric2
Categorical3
DateTime1

Dataset

Description전라남도에 있는 공공도서관에 대하여 설립주체(시립, 교육청, 군립), 도서관명, 주소, 개관연도 등의 정보를 볼 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15105924/fileData.do

Alerts

지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도서관부호 is highly overall correlated with 개관년도High correlation
개관년도 is highly overall correlated with 도서관부호High correlation
상세주소 has 1 (1.4%) missing valuesMissing
팩스 has 5 (6.8%) missing valuesMissing
홈페이지 has 2 (2.7%) missing valuesMissing
도서관명 has unique valuesUnique
도서관부호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:38:12.083116
Analysis finished2023-12-12 15:38:13.856226
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-13T00:38:14.028941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.3243243
Min length5

Characters and Unicode

Total characters690
Distinct characters104
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

Unique74 ?
Unique (%)100.0%

Sample

1st row강진군도서관
2nd row고흥군립도서관
3rd row고흥군립북부도서관
4th row고흥군립중앙도서관
5th row관옥나무도서관
ValueCountFrequency (%)
강진군도서관 1
 
1.3%
전라남도교육청영광도서관 1
 
1.3%
전라남도교육청보성도서관 1
 
1.3%
전라남도교육청벌교도서관 1
 
1.3%
전라남도교육청무안도서관 1
 
1.3%
전라남도교육청목포도서관 1
 
1.3%
전라남도교육청담양도서관 1
 
1.3%
전라남도교육청남평도서관 1
 
1.3%
전라남도교육청나주도서관 1
 
1.3%
전라남도교육청구례도서관 1
 
1.3%
Other values (65) 65
86.7%
2023-12-13T00:38:14.413441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 94
 
13.6%
관 75
 
10.9%
서 69
 
10.0%
립 28
 
4.1%
교 28
 
4.1%
남 27
 
3.9%
육 27
 
3.9%
라 24
 
3.5%
전 23
 
3.3%
청 22
 
3.2%
Other values (94) 273
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 94
 
13.6%
관 75
 
10.9%
서 69
 
10.0%
립 28
 
4.1%
교 28
 
4.1%
남 27
 
3.9%
육 27
 
3.9%
라 24
 
3.5%
전 23
 
3.3%
청 22
 
3.2%
Other values (93) 272
39.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 94
 
13.6%
관 75
 
10.9%
서 69
 
10.0%
립 28
 
4.1%
교 28
 
4.1%
남 27
 
3.9%
육 27
 
3.9%
라 24
 
3.5%
전 23
 
3.3%
청 22
 
3.2%
Other values (93) 272
39.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 94
 
13.6%
관 75
 
10.9%
서 69
 
10.0%
립 28
 
4.1%
교 28
 
4.1%
남 27
 
3.9%
육 27
 
3.9%
라 24
 
3.5%
전 23
 
3.3%
청 22
 
3.2%
Other values (93) 272
39.5%
ASCII
ValueCountFrequency (%)
1
100.0%

도서관부호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148764.19
Minimum146001
Maximum346012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-13T00:38:14.631745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146001
5-th percentile146005.65
Q1146020.25
median146039.5
Q3146076.5
95-th percentile146180.35
Maximum346012
Range200011
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation23243.771
Coefficient of variation (CV)0.15624574
Kurtosis73.999012
Mean148764.19
Median Absolute Deviation (MAD)25
Skewness8.6022403
Sum11008550
Variance5.4027288 × 108
MonotonicityNot monotonic
2023-12-13T00:38:14.848174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146001 1
 
1.4%
146018 1
 
1.4%
146016 1
 
1.4%
146180 1
 
1.4%
146012 1
 
1.4%
146013 1
 
1.4%
146011 1
 
1.4%
146010 1
 
1.4%
146008 1
 
1.4%
146006 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
146001 1
1.4%
146002 1
1.4%
146003 1
1.4%
146005 1
1.4%
146006 1
1.4%
146007 1
1.4%
146008 1
1.4%
146009 1
1.4%
146010 1
1.4%
146011 1
1.4%
ValueCountFrequency (%)
346012 1
1.4%
146183 1
1.4%
146182 1
1.4%
146181 1
1.4%
146180 1
1.4%
146179 1
1.4%
146177 1
1.4%
146176 1
1.4%
146175 1
1.4%
146173 1
1.4%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
전남
74 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남 74
100.0%

Length

2023-12-13T00:38:15.133792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:38:15.269887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남 74
100.0%

시군구
Categorical

Distinct22
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
순천시
9 
여수시
8 
광양시
7 
목포시
5 
나주시
 
4
Other values (17)
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row강진군
2nd row고흥군
3rd row고흥군
4th row고흥군
5th row순천시

Common Values

ValueCountFrequency (%)
순천시 9
 
12.2%
여수시 8
 
10.8%
광양시 7
 
9.5%
목포시 5
 
6.8%
나주시 4
 
5.4%
영암군 4
 
5.4%
고흥군 4
 
5.4%
장성군 4
 
5.4%
완도군 3
 
4.1%
무안군 3
 
4.1%
Other values (12) 23
31.1%

Length

2023-12-13T00:38:15.419293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
순천시 9
 
12.2%
여수시 8
 
10.8%
광양시 7
 
9.5%
목포시 5
 
6.8%
나주시 4
 
5.4%
영암군 4
 
5.4%
고흥군 4
 
5.4%
장성군 4
 
5.4%
완도군 3
 
4.1%
무안군 3
 
4.1%
Other values (12) 23
31.1%

설립주체
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
지자체
51 
교육청
22 
사립
 
1

Length

Max length3
Median length3
Mean length2.9864865
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
지자체 51
68.9%
교육청 22
29.7%
사립 1
 
1.4%

Length

2023-12-13T00:38:15.592327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:38:15.760403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지자체 51
68.9%
교육청 22
29.7%
사립 1
 
1.4%

개관년도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1999.1216
Minimum1965
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-13T00:38:15.909797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1965
5-th percentile1972
Q11990.25
median2000.5
Q32010
95-th percentile2019.35
Maximum2023
Range58
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation14.718317
Coefficient of variation (CV)0.0073623917
Kurtosis-0.46707295
Mean1999.1216
Median Absolute Deviation (MAD)9.5
Skewness-0.49377985
Sum147935
Variance216.62884
MonotonicityNot monotonic
2023-12-13T00:38:16.051935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2010 5
 
6.8%
1998 4
 
5.4%
2005 3
 
4.1%
1997 3
 
4.1%
1990 3
 
4.1%
2014 3
 
4.1%
2003 3
 
4.1%
2017 3
 
4.1%
1973 3
 
4.1%
1993 2
 
2.7%
Other values (30) 42
56.8%
ValueCountFrequency (%)
1965 1
 
1.4%
1968 1
 
1.4%
1970 1
 
1.4%
1972 2
2.7%
1973 3
4.1%
1974 1
 
1.4%
1982 1
 
1.4%
1984 1
 
1.4%
1985 2
2.7%
1986 1
 
1.4%
ValueCountFrequency (%)
2023 1
 
1.4%
2022 2
2.7%
2020 1
 
1.4%
2019 1
 
1.4%
2018 2
2.7%
2017 3
4.1%
2015 1
 
1.4%
2014 3
4.1%
2013 1
 
1.4%
2012 2
2.7%

주소
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-13T00:38:16.417861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length18.486486
Min length6

Characters and Unicode

Total characters1368
Distinct characters129
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)100.0%

Sample

1st row전라남도 강진군
2nd row전남 고흥군 도양읍
3rd row전남 고흥군 동강면
4th row전라남도 고흥군
5th row전라남도 순천시 해룡면
ValueCountFrequency (%)
전라남도 65
 
20.2%
순천시 9
 
2.8%
전남 9
 
2.8%
여수시 8
 
2.5%
광양시 7
 
2.2%
목포시 5
 
1.6%
영암군 4
 
1.2%
고흥군 4
 
1.2%
해룡면 4
 
1.2%
나주시 4
 
1.2%
Other values (163) 202
62.9%
2023-12-13T00:38:16.995288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
 
18.2%
남 84
 
6.1%
도 78
 
5.7%
전 75
 
5.5%
라 66
 
4.8%
군 42
 
3.1%
로 35
 
2.6%
1 34
 
2.5%
읍 33
 
2.4%
시 33
 
2.4%
Other values (119) 639
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
66.6%
Space Separator 249
 
18.2%
Decimal Number 155
 
11.3%
Open Punctuation 19
 
1.4%
Close Punctuation 19
 
1.4%
Dash Punctuation 15
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 84
 
9.2%
도 78
 
8.6%
전 75
 
8.2%
라 66
 
7.2%
군 42
 
4.6%
로 35
 
3.8%
읍 33
 
3.6%
시 33
 
3.6%
길 29
 
3.2%
동 22
 
2.4%
Other values (105) 414
45.4%
Decimal Number
ValueCountFrequency (%)
1 34
21.9%
2 28
18.1%
3 22
14.2%
6 15
9.7%
5 13
 
8.4%
4 11
 
7.1%
8 10
 
6.5%
0 8
 
5.2%
7 7
 
4.5%
9 7
 
4.5%
Space Separator
ValueCountFrequency (%)
249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
66.6%
Common 457
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 84
 
9.2%
도 78
 
8.6%
전 75
 
8.2%
라 66
 
7.2%
군 42
 
4.6%
로 35
 
3.8%
읍 33
 
3.6%
시 33
 
3.6%
길 29
 
3.2%
동 22
 
2.4%
Other values (105) 414
45.4%
Common
ValueCountFrequency (%)
249
54.5%
1 34
 
7.4%
2 28
 
6.1%
3 22
 
4.8%
( 19
 
4.2%
) 19
 
4.2%
- 15
 
3.3%
6 15
 
3.3%
5 13
 
2.8%
4 11
 
2.4%
Other values (4) 32
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
66.6%
ASCII 457
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
54.5%
1 34
 
7.4%
2 28
 
6.1%
3 22
 
4.8%
( 19
 
4.2%
) 19
 
4.2%
- 15
 
3.3%
6 15
 
3.3%
5 13
 
2.8%
4 11
 
2.4%
Other values (4) 32
 
7.0%
Hangul
ValueCountFrequency (%)
남 84
 
9.2%
도 78
 
8.6%
전 75
 
8.2%
라 66
 
7.2%
군 42
 
4.6%
로 35
 
3.8%
읍 33
 
3.6%
시 33
 
3.6%
길 29
 
3.2%
동 22
 
2.4%
Other values (105) 414
45.4%

상세주소
Text

MISSING 

Distinct73
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size724.0 B
2023-12-13T00:38:17.390126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length11.164384
Min length3

Characters and Unicode

Total characters815
Distinct characters137
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row강진읍 남문길 10
2nd row녹동신항8길 5-4
3rd row동강중촌길 35
4th row고흥로 1793 군립중앙도서관
5th row하사길 5 관옥나무도서관
ValueCountFrequency (%)
33 2
 
1.6%
3층 2
 
1.6%
13 2
 
1.6%
고흥로 2
 
1.6%
42 2
 
1.6%
전라남도교육청남평도서관 1
 
0.8%
전라남도교육청구례도서관 1
 
0.8%
전라남도교육청나주도서관 1
 
0.8%
14-13 1
 
0.8%
전라남도교육청목포도서관 1
 
0.8%
Other values (108) 108
87.8%
2023-12-13T00:38:17.973817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 71
 
8.7%
관 56
 
6.9%
서 54
 
6.6%
50
 
6.1%
1 28
 
3.4%
교 21
 
2.6%
남 21
 
2.6%
립 20
 
2.5%
3 19
 
2.3%
육 19
 
2.3%
Other values (127) 456
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
75.8%
Decimal Number 105
 
12.9%
Space Separator 50
 
6.1%
Close Punctuation 15
 
1.8%
Open Punctuation 15
 
1.8%
Dash Punctuation 11
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 71
 
11.5%
관 56
 
9.1%
서 54
 
8.7%
교 21
 
3.4%
남 21
 
3.4%
립 20
 
3.2%
육 19
 
3.1%
라 18
 
2.9%
전 17
 
2.8%
청 15
 
2.4%
Other values (112) 306
49.5%
Decimal Number
ValueCountFrequency (%)
1 28
26.7%
3 19
18.1%
4 12
11.4%
5 10
 
9.5%
0 9
 
8.6%
6 8
 
7.6%
2 7
 
6.7%
7 5
 
4.8%
8 4
 
3.8%
9 3
 
2.9%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
75.8%
Common 197
 
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 71
 
11.5%
관 56
 
9.1%
서 54
 
8.7%
교 21
 
3.4%
남 21
 
3.4%
립 20
 
3.2%
육 19
 
3.1%
라 18
 
2.9%
전 17
 
2.8%
청 15
 
2.4%
Other values (112) 306
49.5%
Common
ValueCountFrequency (%)
50
25.4%
1 28
14.2%
3 19
 
9.6%
) 15
 
7.6%
( 15
 
7.6%
4 12
 
6.1%
- 11
 
5.6%
5 10
 
5.1%
0 9
 
4.6%
6 8
 
4.1%
Other values (5) 20
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
75.8%
ASCII 197
 
24.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 71
 
11.5%
관 56
 
9.1%
서 54
 
8.7%
교 21
 
3.4%
남 21
 
3.4%
립 20
 
3.2%
육 19
 
3.1%
라 18
 
2.9%
전 17
 
2.8%
청 15
 
2.4%
Other values (112) 306
49.5%
ASCII
ValueCountFrequency (%)
50
25.4%
1 28
14.2%
3 19
 
9.6%
) 15
 
7.6%
( 15
 
7.6%
4 12
 
6.1%
- 11
 
5.6%
5 10
 
5.1%
0 9
 
4.6%
6 8
 
4.1%
Other values (5) 20
 
10.2%

전화번호
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-13T00:38:18.239876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters888
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

Unique74 ?
Unique (%)100.0%

Sample

1st row061-430-3832
2nd row061-830-6906
3rd row061-830-5951
4th row061-830-6951
5th row061-727-2210
ValueCountFrequency (%)
061-430-3832 1
 
1.4%
061-353-2690 1
 
1.4%
061-852-3893 1
 
1.4%
061-858-0501 1
 
1.4%
061-452-8300 1
 
1.4%
061-270-3800 1
 
1.4%
061-383-7435 1
 
1.4%
061-337-9436 1
 
1.4%
061-330-6725 1
 
1.4%
061-782-2366 1
 
1.4%
Other values (64) 64
86.5%
2023-12-13T00:38:18.681965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 148
16.7%
0 144
16.2%
6 113
12.7%
1 100
11.3%
3 67
7.5%
5 63
7.1%
8 59
 
6.6%
7 52
 
5.9%
9 50
 
5.6%
2 47
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 740
83.3%
Dash Punctuation 148
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 144
19.5%
6 113
15.3%
1 100
13.5%
3 67
9.1%
5 63
8.5%
8 59
8.0%
7 52
 
7.0%
9 50
 
6.8%
2 47
 
6.4%
4 45
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 148
16.7%
0 144
16.2%
6 113
12.7%
1 100
11.3%
3 67
7.5%
5 63
7.1%
8 59
 
6.6%
7 52
 
5.9%
9 50
 
5.6%
2 47
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 148
16.7%
0 144
16.2%
6 113
12.7%
1 100
11.3%
3 67
7.5%
5 63
7.1%
8 59
 
6.6%
7 52
 
5.9%
9 50
 
5.6%
2 47
 
5.3%

팩스
Text

MISSING 

Distinct64
Distinct (%)92.8%
Missing5
Missing (%)6.8%
Memory size724.0 B
2023-12-13T00:38:19.034257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters828
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

Unique61 ?
Unique (%)88.4%

Sample

1st row061-430-3839
2nd row061-830-5952
3rd row061-830-5930
4th row061-797-4154
5th row061-797-4154
ValueCountFrequency (%)
061-797-4154 4
 
5.8%
061-339-2812 2
 
2.9%
061-390-7689 2
 
2.9%
061-379-3961 1
 
1.4%
061-749-4721 1
 
1.4%
061-791-8781 1
 
1.4%
061-240-8787 1
 
1.4%
061-453-1770 1
 
1.4%
061-473-6785 1
 
1.4%
061-352-2693 1
 
1.4%
Other values (54) 54
78.3%
2023-12-13T00:38:19.524250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 138
16.7%
0 112
13.5%
1 107
12.9%
6 102
12.3%
3 61
7.4%
7 60
7.2%
5 59
7.1%
9 57
6.9%
8 51
 
6.2%
4 49
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 690
83.3%
Dash Punctuation 138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
16.2%
1 107
15.5%
6 102
14.8%
3 61
8.8%
7 60
8.7%
5 59
8.6%
9 57
8.3%
8 51
7.4%
4 49
7.1%
2 32
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 138
16.7%
0 112
13.5%
1 107
12.9%
6 102
12.3%
3 61
7.4%
7 60
7.2%
5 59
7.1%
9 57
6.9%
8 51
 
6.2%
4 49
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 138
16.7%
0 112
13.5%
1 107
12.9%
6 102
12.3%
3 61
7.4%
7 60
7.2%
5 59
7.1%
9 57
6.9%
8 51
 
6.2%
4 49
 
5.9%

홈페이지
Text

MISSING 

Distinct60
Distinct (%)83.3%
Missing2
Missing (%)2.7%
Memory size724.0 B
2023-12-13T00:38:19.811724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length40
Mean length26.75
Min length18

Characters and Unicode

Total characters1926
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)72.2%

Sample

1st rowhttp://www.gjlib.go.kr
2nd rowhttp://www.ghlib.go.kr
3rd rowhttp://ghlib.go.kr/
4th rowhttp://www.ghlib.go.kr/
5th rowhttp://cafe.daum.net/GwanokNamasLibrary
ValueCountFrequency (%)
http://yslib.yeosu.go.kr 5
 
6.9%
https://library.suncheon.go.kr 4
 
5.6%
https://lib.jangseong.go.kr 3
 
4.2%
http://www.mokpolib.or.kr 3
 
4.2%
https://yslib.yeosu.go.kr 2
 
2.8%
http://lib.gwangyang.go.kr/lib 2
 
2.8%
http://lib.gwangyang.go.kr 2
 
2.8%
http://www.ghlib.go.kr 2
 
2.8%
http://yalib.jne.go.kr 1
 
1.4%
https://bglib.jne.go.kr 1
 
1.4%
Other values (47) 47
65.3%
2023-12-13T00:38:20.233642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 212
 
11.0%
/ 189
 
9.8%
t 151
 
7.8%
o 116
 
6.0%
r 111
 
5.8%
g 103
 
5.3%
h 96
 
5.0%
p 85
 
4.4%
n 79
 
4.1%
i 78
 
4.0%
Other values (24) 706
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1438
74.7%
Other Punctuation 473
 
24.6%
Decimal Number 8
 
0.4%
Connector Punctuation 4
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 151
 
10.5%
o 116
 
8.1%
r 111
 
7.7%
g 103
 
7.2%
h 96
 
6.7%
p 85
 
5.9%
n 79
 
5.5%
i 78
 
5.4%
k 78
 
5.4%
b 76
 
5.3%
Other values (12) 465
32.3%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
6 2
25.0%
3 1
 
12.5%
5 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 212
44.8%
/ 189
40.0%
: 72
 
15.2%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
L 1
33.3%
N 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1441
74.8%
Common 485
 
25.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 151
 
10.5%
o 116
 
8.0%
r 111
 
7.7%
g 103
 
7.1%
h 96
 
6.7%
p 85
 
5.9%
n 79
 
5.5%
i 78
 
5.4%
k 78
 
5.4%
b 76
 
5.3%
Other values (15) 468
32.5%
Common
ValueCountFrequency (%)
. 212
43.7%
/ 189
39.0%
: 72
 
14.8%
_ 4
 
0.8%
0 3
 
0.6%
6 2
 
0.4%
3 1
 
0.2%
5 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 212
 
11.0%
/ 189
 
9.8%
t 151
 
7.8%
o 116
 
6.0%
r 111
 
5.8%
g 103
 
5.3%
h 96
 
5.0%
p 85
 
4.4%
n 79
 
4.1%
i 78
 
4.0%
Other values (24) 706
36.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T00:38:20.361341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:20.474822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:38:13.129132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:12.883797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:13.250190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:13.007710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:38:20.581228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명도서관부호시군구설립주체개관년도주소상세주소전화번호팩스홈페이지
도서관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도서관부호1.0001.0000.6180.0000.0001.0001.0001.0001.0001.000
시군구1.0000.6181.0000.0000.0001.0001.0001.0001.0001.000
설립주체1.0000.0000.0001.0000.6041.0001.0001.0001.0001.000
개관년도1.0000.0000.0000.6041.0001.0001.0001.0000.8290.840
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
상세주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스1.0001.0001.0001.0000.8291.0001.0001.0001.0000.992
홈페이지1.0001.0001.0001.0000.8401.0001.0001.0000.9921.000
2023-12-13T00:38:20.746919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립주체시군구
설립주체1.0000.000
시군구0.0001.000
2023-12-13T00:38:20.856544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관부호개관년도시군구설립주체
도서관부호1.0000.9310.4560.000
개관년도0.9311.0000.0000.421
시군구0.4560.0001.0000.000
설립주체0.0000.4210.0001.000

Missing values

2023-12-13T00:38:13.398423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:38:13.651425image/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.
2023-12-13T00:38:13.799919image/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

도서관명도서관부호지역시군구설립주체개관년도주소상세주소전화번호팩스홈페이지데이터기준일자
0강진군도서관146001전남강진군지자체1965전라남도 강진군강진읍 남문길 10061-430-3832061-430-3839http://www.gjlib.go.kr2022-12-31
1고흥군립도서관146035전남고흥군지자체1998전남 고흥군 도양읍녹동신항8길 5-4061-830-6906<NA>http://www.ghlib.go.kr2022-12-31
2고흥군립북부도서관146051전남고흥군지자체2006전남 고흥군 동강면동강중촌길 35061-830-5951061-830-5952http://ghlib.go.kr/2022-12-31
3고흥군립중앙도서관146077전남고흥군지자체2010전라남도 고흥군고흥로 1793 군립중앙도서관061-830-6951061-830-5930http://www.ghlib.go.kr/2022-12-31
4관옥나무도서관146176전남순천시사립2018전라남도 순천시 해룡면하사길 5 관옥나무도서관061-727-2210<NA>http://cafe.daum.net/GwanokNamasLibrary2022-12-31
5광양금호도서관146181전남광양시지자체2022전라남도 광양시초원길 42 금호도서관061-797-3830<NA><NA>2022-12-31
6광양시립중마도서관146050전남광양시지자체2007전남 광양시광장로 14061-797-3880061-797-4154http://lib.gwangyang.go.kr2022-12-31
7광양시립중앙도서관146024전남광양시지자체1992전라남도 광양시 광양읍 향교길 9-30광양시립중앙도서관061-797-2530061-797-4154http://lib.gwangyang.go.kr2022-12-31
8광양용강도서관146049전남광양시지자체2018전라남도 광양시 광양읍 기두5길 5광양용강도서관061-797-3869061-797-4154http://lib.gwangyang.go.kr/lib/2022-12-31
9구례군매천도서관146040전남구례군지자체2002전라남도 구례군 구례읍 봉성로 38(구례군매천도서관)061-780-8152061-783-7441http://lib.gurye.go.kr2022-12-31
도서관명도서관부호지역시군구설립주체개관년도주소상세주소전화번호팩스홈페이지데이터기준일자
64정남진도서관146072전남장흥군지자체2010전라남도 장흥군 장흥읍 흥성로 23정남진도서관061-863-5454061-863-6996http://www.jhjl.kr2022-12-31
65철마도서관146075전남진도군지자체2014전남 진도군 진도읍 성내리64-1(철마길 25)061-540-3062061-540-3099https://lib.jindo.go.kr/2022-12-31
66함평군립도서관346012전남함평군지자체2008전라남도 함평군 곤재로36-33 (함평군립도서관)061-320-2263061-320-3777http://www.butterflyhp.or.kr2022-12-31
67해남군립도서관146039전남해남군지자체2002전라남도 해남군 해남읍 군청길 4해남군립도서관061-530-5890061-530-5599http://lib.haenam.go.kr2022-12-31
68해룡농어촌도서관146069전남순천시지자체2010전남 순천시 해룡면 월전리401번지061-749-8647061-749-4721https://library.suncheon.go.kr/2022-12-31
69화순열린도서관146119전남화순군지자체2013전남 화순군 화순읍 신기리405-2번지 화순군민종합문화센터 3층 화순열린도서관061-379-3955061-379-3961https://www.hslib.kr/2022-12-31
70흑산자산문화도서관146153전남신안군지자체2003전라남도 신안군 흑산면 흑산일주로 5흑산자산문화도서관061-240-8890061-240-8787<NA>2022-12-31
71광양희망도서관146177전남광양시지자체2017전라남도 광양시 광양읍 인덕로 1022전라남도 광양시 광양읍 인덕로 1022061-797-4700061-797-4154http://lib.gwangyang.go.kr/lib/2022-12-31
72목포어린이도서관146071전남목포시지자체2010전라남도 목포시 옥암로186번길 30-7 (석현동)옥암로 186번길 30-7(석현동)061-287-1922061-287-1923http://www.mokpolib.or.kr2022-12-31
73순천기적의도서관146118전남순천시지자체2003전라남도 순천시 해룡면 기적의도서관길 60순천기적의도서관 사무실061-749-8890061-749-4717https://library.suncheon.go.kr/miracle2022-12-31