Overview

Dataset statistics

Number of variables9
Number of observations237
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory75.6 B

Variable types

Categorical1
Text5
Numeric3

Dataset

Description책나래서비스 제공도서관 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VZOIVNHZ1ZF7IF8O02JQ25392397&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
기관명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:55:58.714239
Analysis finished2024-03-12 23:56:00.055748
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
화성시
25 
수원시
21 
고양시
19 
용인시
18 
부천시
18 
Other values (25)
136 

Length

Max length4
Median length3
Mean length3.0337553
Min length3

Unique

Unique6 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 25
 
10.5%
수원시 21
 
8.9%
고양시 19
 
8.0%
용인시 18
 
7.6%
부천시 18
 
7.6%
성남시 18
 
7.6%
파주시 15
 
6.3%
안양시 12
 
5.1%
시흥시 11
 
4.6%
평택시 11
 
4.6%
Other values (20) 69
29.1%

Length

2024-03-13T08:56:00.104464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 25
 
10.5%
수원시 21
 
8.9%
고양시 19
 
8.0%
용인시 18
 
7.6%
부천시 18
 
7.6%
성남시 18
 
7.6%
파주시 15
 
6.3%
안양시 12
 
5.1%
시흥시 11
 
4.6%
평택시 11
 
4.6%
Other values (20) 69
29.1%

기관명
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T08:56:00.324822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.7383966
Min length5

Characters and Unicode

Total characters2071
Distinct characters215
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

Unique237 ?
Unique (%)100.0%

Sample

1st row조종도서관
2nd row고양시 가좌도서관
3rd row고양시 대화도서관
4th row고양시 덕이도서관
5th row고양시 마두도서관
ValueCountFrequency (%)
고양시 17
 
5.4%
성남시 10
 
3.2%
도서관 9
 
2.8%
김포시 6
 
1.9%
중앙도서관 6
 
1.9%
화성시 5
 
1.6%
양주시 4
 
1.3%
파주시 3
 
0.9%
위례도서관 2
 
0.6%
하남시 2
 
0.6%
Other values (249) 253
79.8%
2024-03-13T08:56:00.658898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 239
 
11.5%
관 237
 
11.4%
도 236
 
11.4%
시 153
 
7.4%
80
 
3.9%
립 59
 
2.8%
양 42
 
2.0%
교 38
 
1.8%
성 38
 
1.8%
천 30
 
1.4%
Other values (205) 919
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1988
96.0%
Space Separator 80
 
3.9%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 239
 
12.0%
관 237
 
11.9%
도 236
 
11.9%
시 153
 
7.7%
립 59
 
3.0%
양 42
 
2.1%
교 38
 
1.9%
성 38
 
1.9%
천 30
 
1.5%
학 27
 
1.4%
Other values (201) 889
44.7%
Space Separator
ValueCountFrequency (%)
80
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1988
96.0%
Common 83
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 239
 
12.0%
관 237
 
11.9%
도 236
 
11.9%
시 153
 
7.7%
립 59
 
3.0%
양 42
 
2.1%
교 38
 
1.9%
성 38
 
1.9%
천 30
 
1.5%
학 27
 
1.4%
Other values (201) 889
44.7%
Common
ValueCountFrequency (%)
80
96.4%
3 1
 
1.2%
( 1
 
1.2%
) 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1988
96.0%
ASCII 83
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 239
 
12.0%
관 237
 
11.9%
도 236
 
11.9%
시 153
 
7.7%
립 59
 
3.0%
양 42
 
2.1%
교 38
 
1.9%
성 38
 
1.9%
천 30
 
1.5%
학 27
 
1.4%
Other values (201) 889
44.7%
ASCII
ValueCountFrequency (%)
80
96.4%
3 1
 
1.2%
( 1
 
1.2%
) 1
 
1.2%

소재지지번주소
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T08:56:00.912861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length20.915612
Min length15

Characters and Unicode

Total characters4957
Distinct characters187
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 현리 420-6번지
2nd row경기도 고양시 일산서구 가좌동 388-24번지
3rd row경기도 고양시 일산서구 대화동 2103번지
4th row경기도 고양시 일산서구 덕이동 1533번지
5th row경기도 고양시 일산동구 마두동 1112번지
ValueCountFrequency (%)
경기도 237
 
21.5%
화성시 25
 
2.3%
수원시 21
 
1.9%
고양시 19
 
1.7%
부천시 18
 
1.6%
성남시 18
 
1.6%
용인시 18
 
1.6%
파주시 15
 
1.4%
안양시 12
 
1.1%
평택시 11
 
1.0%
Other values (511) 707
64.2%
2024-03-13T08:56:01.306206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
864
17.4%
기 249
 
5.0%
지 246
 
5.0%
도 244
 
4.9%
시 243
 
4.9%
경 240
 
4.8%
번 237
 
4.8%
동 211
 
4.3%
1 176
 
3.6%
2 134
 
2.7%
Other values (177) 2113
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3077
62.1%
Decimal Number 889
 
17.9%
Space Separator 864
 
17.4%
Dash Punctuation 127
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 249
 
8.1%
지 246
 
8.0%
도 244
 
7.9%
시 243
 
7.9%
경 240
 
7.8%
번 237
 
7.7%
동 211
 
6.9%
구 113
 
3.7%
양 72
 
2.3%
성 56
 
1.8%
Other values (165) 1166
37.9%
Decimal Number
ValueCountFrequency (%)
1 176
19.8%
2 134
15.1%
4 87
9.8%
3 86
9.7%
5 85
9.6%
8 70
 
7.9%
0 66
 
7.4%
6 66
 
7.4%
7 65
 
7.3%
9 54
 
6.1%
Space Separator
ValueCountFrequency (%)
864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3077
62.1%
Common 1880
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 249
 
8.1%
지 246
 
8.0%
도 244
 
7.9%
시 243
 
7.9%
경 240
 
7.8%
번 237
 
7.7%
동 211
 
6.9%
구 113
 
3.7%
양 72
 
2.3%
성 56
 
1.8%
Other values (165) 1166
37.9%
Common
ValueCountFrequency (%)
864
46.0%
1 176
 
9.4%
2 134
 
7.1%
- 127
 
6.8%
4 87
 
4.6%
3 86
 
4.6%
5 85
 
4.5%
8 70
 
3.7%
0 66
 
3.5%
6 66
 
3.5%
Other values (2) 119
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3077
62.1%
ASCII 1880
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
864
46.0%
1 176
 
9.4%
2 134
 
7.1%
- 127
 
6.8%
4 87
 
4.6%
3 86
 
4.6%
5 85
 
4.5%
8 70
 
3.7%
0 66
 
3.5%
6 66
 
3.5%
Other values (2) 119
 
6.3%
Hangul
ValueCountFrequency (%)
기 249
 
8.1%
지 246
 
8.0%
도 244
 
7.9%
시 243
 
7.9%
경 240
 
7.8%
번 237
 
7.7%
동 211
 
6.9%
구 113
 
3.7%
양 72
 
2.3%
성 56
 
1.8%
Other values (165) 1166
37.9%

소재지도로명주소
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T08:56:01.509980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length19.21097
Min length14

Characters and Unicode

Total characters4553
Distinct characters226
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 조종희망로26번길 22
2nd row경기도 고양시 일산서구 가좌3로 16
3rd row경기도 고양시 일산서구 일산로 689
4th row경기도 고양시 일산서구 하이파크로 128
5th row경기도 고양시 일산동구 일산로 355
ValueCountFrequency (%)
경기도 237
 
21.5%
화성시 25
 
2.3%
수원시 21
 
1.9%
고양시 19
 
1.7%
부천시 18
 
1.6%
성남시 18
 
1.6%
용인시 18
 
1.6%
파주시 15
 
1.4%
안양시 12
 
1.1%
평택시 11
 
1.0%
Other values (485) 707
64.2%
2024-03-13T08:56:01.853524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
864
19.0%
기 250
 
5.5%
시 248
 
5.4%
경 243
 
5.3%
도 243
 
5.3%
로 217
 
4.8%
1 150
 
3.3%
구 114
 
2.5%
2 112
 
2.5%
길 86
 
1.9%
Other values (216) 2026
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2875
63.1%
Space Separator 864
 
19.0%
Decimal Number 788
 
17.3%
Dash Punctuation 26
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 250
 
8.7%
시 248
 
8.6%
경 243
 
8.5%
도 243
 
8.5%
로 217
 
7.5%
구 114
 
4.0%
길 86
 
3.0%
양 65
 
2.3%
성 62
 
2.2%
번 58
 
2.0%
Other values (204) 1289
44.8%
Decimal Number
ValueCountFrequency (%)
1 150
19.0%
2 112
14.2%
3 81
10.3%
5 78
9.9%
4 74
9.4%
7 74
9.4%
6 62
7.9%
0 60
 
7.6%
8 57
 
7.2%
9 40
 
5.1%
Space Separator
ValueCountFrequency (%)
864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2875
63.1%
Common 1678
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 250
 
8.7%
시 248
 
8.6%
경 243
 
8.5%
도 243
 
8.5%
로 217
 
7.5%
구 114
 
4.0%
길 86
 
3.0%
양 65
 
2.3%
성 62
 
2.2%
번 58
 
2.0%
Other values (204) 1289
44.8%
Common
ValueCountFrequency (%)
864
51.5%
1 150
 
8.9%
2 112
 
6.7%
3 81
 
4.8%
5 78
 
4.6%
4 74
 
4.4%
7 74
 
4.4%
6 62
 
3.7%
0 60
 
3.6%
8 57
 
3.4%
Other values (2) 66
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2875
63.1%
ASCII 1678
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
864
51.5%
1 150
 
8.9%
2 112
 
6.7%
3 81
 
4.8%
5 78
 
4.6%
4 74
 
4.4%
7 74
 
4.4%
6 62
 
3.7%
0 60
 
3.6%
8 57
 
3.4%
Other values (2) 66
 
3.9%
Hangul
ValueCountFrequency (%)
기 250
 
8.7%
시 248
 
8.6%
경 243
 
8.5%
도 243
 
8.5%
로 217
 
7.5%
구 114
 
4.0%
길 86
 
3.0%
양 65
 
2.3%
성 62
 
2.2%
번 58
 
2.0%
Other values (204) 1289
44.8%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct235
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14274.823
Minimum10016
Maximum18600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-13T08:56:01.968132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10016
5-th percentile10319.6
Q111487
median14238
Q316881
95-th percentile18436.6
Maximum18600
Range8584
Interquartile range (IQR)5394

Descriptive statistics

Standard deviation2748.0726
Coefficient of variation (CV)0.19251185
Kurtosis-1.3250399
Mean14274.823
Median Absolute Deviation (MAD)2679
Skewness0.036844594
Sum3383133
Variance7551902.9
MonotonicityNot monotonic
2024-03-13T08:56:02.091842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12761 2
 
0.8%
14091 2
 
0.8%
12438 1
 
0.4%
17057 1
 
0.4%
16917 1
 
0.4%
16960 1
 
0.4%
17008 1
 
0.4%
17035 1
 
0.4%
17081 1
 
0.4%
16942 1
 
0.4%
Other values (225) 225
94.9%
ValueCountFrequency (%)
10016 1
0.4%
10056 1
0.4%
10067 1
0.4%
10079 1
0.4%
10106 1
0.4%
10108 1
0.4%
10113 1
0.4%
10125 1
0.4%
10210 1
0.4%
10230 1
0.4%
ValueCountFrequency (%)
18600 1
0.4%
18592 1
0.4%
18588 1
0.4%
18563 1
0.4%
18549 1
0.4%
18517 1
0.4%
18506 1
0.4%
18489 1
0.4%
18484 1
0.4%
18476 1
0.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.448002
Minimum36.964914
Maximum38.098126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-13T08:56:02.199139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964914
5-th percentile37.015217
Q137.274157
median37.411614
Q337.641782
95-th percentile37.853986
Maximum38.098126
Range1.1332123
Interquartile range (IQR)0.367625

Descriptive statistics

Standard deviation0.24494211
Coefficient of variation (CV)0.0065408594
Kurtosis-0.44625164
Mean37.448002
Median Absolute Deviation (MAD)0.17407123
Skewness0.27592157
Sum8875.1764
Variance0.059996639
MonotonicityNot monotonic
2024-03-13T08:56:02.311190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.81830446 1
 
0.4%
37.15378275 1
 
0.4%
37.19354923 1
 
0.4%
37.24363245 1
 
0.4%
37.29676208 1
 
0.4%
37.2861891 1
 
0.4%
37.27415718 1
 
0.4%
37.3357172 1
 
0.4%
37.24841478 1
 
0.4%
37.29997194 1
 
0.4%
Other values (227) 227
95.8%
ValueCountFrequency (%)
36.96491402 1
0.4%
36.98947149 1
0.4%
36.99408274 1
0.4%
36.99464581 1
0.4%
36.99588502 1
0.4%
37.00223514 1
0.4%
37.00335863 1
0.4%
37.00501086 1
0.4%
37.00641541 1
0.4%
37.00770871 1
0.4%
ValueCountFrequency (%)
38.09812628 1
0.4%
38.08772131 1
0.4%
38.03233058 1
0.4%
37.99736387 1
0.4%
37.95490787 1
0.4%
37.95426901 1
0.4%
37.90667564 1
0.4%
37.90525901 1
0.4%
37.89814837 1
0.4%
37.89453089 1
0.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98748
Minimum126.59203
Maximum127.54593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-13T08:56:02.420532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59203
5-th percentile126.73375
Q1126.81592
median127.01214
Q3127.11353
95-th percentile127.25637
Maximum127.54593
Range0.9538995
Interquartile range (IQR)0.2976142

Descriptive statistics

Standard deviation0.17729697
Coefficient of variation (CV)0.0013961768
Kurtosis-0.37151474
Mean126.98748
Median Absolute Deviation (MAD)0.1274004
Skewness0.17400983
Sum30096.032
Variance0.031434216
MonotonicityNot monotonic
2024-03-13T08:56:02.526866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3529658 1
 
0.4%
127.1705283 1
 
0.4%
127.0213876 1
 
0.4%
127.081223 1
 
0.4%
127.1189859 1
 
0.4%
127.1135339 1
 
0.4%
127.1580368 1
 
0.4%
127.2496372 1
 
0.4%
127.109025 1
 
0.4%
127.0742875 1
 
0.4%
Other values (227) 227
95.8%
ValueCountFrequency (%)
126.592034 1
0.4%
126.6314405 1
0.4%
126.6396893 1
0.4%
126.6766022 1
0.4%
126.7068992 1
0.4%
126.7113454 1
0.4%
126.7123057 1
0.4%
126.7161235 1
0.4%
126.7203092 1
0.4%
126.720436 1
0.4%
ValueCountFrequency (%)
127.5459335 1
0.4%
127.494333 1
0.4%
127.436914 1
0.4%
127.4288728 1
0.4%
127.3529658 1
0.4%
127.3225017 1
0.4%
127.3155516 1
0.4%
127.3058106 1
0.4%
127.2742344 1
0.4%
127.268476 1
0.4%

전화번호
Text

Distinct236
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T08:56:02.712045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.299578
Min length12

Characters and Unicode

Total characters2915
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

Unique235 ?
Unique (%)99.2%

Sample

1st row031-580-4302
2nd row031-8075-9374
3rd row031-8075-9133
4th row031-8075-9313
5th row031-8075-9064
ValueCountFrequency (%)
031-538-9372 2
 
0.8%
031-324-4725 1
 
0.4%
031-644-4354 1
 
0.4%
031-324-8974 1
 
0.4%
031-839-4411 1
 
0.4%
031-379-0157 1
 
0.4%
031-201-3205 1
 
0.4%
031-324-3927 1
 
0.4%
031-324-4755 1
 
0.4%
031-324-3942 1
 
0.4%
Other values (226) 226
95.4%
2024-03-13T08:56:03.004433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 474
16.3%
0 426
14.6%
3 380
13.0%
1 301
10.3%
2 249
8.5%
4 227
7.8%
8 205
7.0%
5 199
6.8%
7 179
 
6.1%
6 144
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2441
83.7%
Dash Punctuation 474
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
17.5%
3 380
15.6%
1 301
12.3%
2 249
10.2%
4 227
9.3%
8 205
8.4%
5 199
8.2%
7 179
7.3%
6 144
 
5.9%
9 131
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2915
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 474
16.3%
0 426
14.6%
3 380
13.0%
1 301
10.3%
2 249
8.5%
4 227
7.8%
8 205
7.0%
5 199
6.8%
7 179
 
6.1%
6 144
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 474
16.3%
0 426
14.6%
3 380
13.0%
1 301
10.3%
2 249
8.5%
4 227
7.8%
8 205
7.0%
5 199
6.8%
7 179
 
6.1%
6 144
 
4.9%

홈페이지URL
Text

Distinct198
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-13T08:56:03.181557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length42
Mean length29.109705
Min length16

Characters and Unicode

Total characters6899
Distinct characters46
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

Unique185 ?
Unique (%)78.1%

Sample

1st rowhttp://www.gaplib.or.kr
2nd rowhttps://www.goyanglib.or.kr/ga/main/index.asp
3rd rowhttps://www.goyanglib.or.kr/dae/main/index.asp
4th rowhttp://www.goyanglib.or.kr/duk/main/index.asp
5th rowhttp://www.goyanglib.or.kr/madu/main/index.asp
ValueCountFrequency (%)
http://lib.anyang.go.kr 10
 
4.2%
http://bcl.go.kr 8
 
3.4%
http://www.bcl.go.kr 7
 
3.0%
https://lib.siheung.go.kr 6
 
2.5%
http://www.apl.go.kr 4
 
1.7%
http://www.hscitylib.or.kr 4
 
1.7%
http://www.gurilib.go.kr 3
 
1.3%
http://www.libyj.go.kr 3
 
1.3%
http://www.ptlib.net 3
 
1.3%
http://www.goyanglib.or.kr 2
 
0.8%
Other values (182) 187
78.9%
2024-03-13T08:56:03.473942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 751
 
10.9%
/ 736
 
10.7%
t 535
 
7.8%
i 408
 
5.9%
w 388
 
5.6%
o 368
 
5.3%
h 316
 
4.6%
r 315
 
4.6%
p 315
 
4.6%
g 312
 
4.5%
Other values (36) 2455
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5129
74.3%
Other Punctuation 1727
 
25.0%
Decimal Number 23
 
0.3%
Uppercase Letter 16
 
0.2%
Connector Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 535
 
10.4%
i 408
 
8.0%
w 388
 
7.6%
o 368
 
7.2%
h 316
 
6.2%
r 315
 
6.1%
p 315
 
6.1%
g 312
 
6.1%
l 286
 
5.6%
b 281
 
5.5%
Other values (14) 1605
31.3%
Uppercase Letter
ValueCountFrequency (%)
M 6
37.5%
S 2
 
12.5%
L 2
 
12.5%
Y 1
 
6.2%
P 1
 
6.2%
H 1
 
6.2%
V 1
 
6.2%
C 1
 
6.2%
J 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 6
26.1%
0 5
21.7%
4 4
17.4%
3 3
13.0%
2 3
13.0%
5 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 751
43.5%
/ 736
42.6%
: 238
 
13.8%
? 2
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5145
74.6%
Common 1754
 
25.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 535
 
10.4%
i 408
 
7.9%
w 388
 
7.5%
o 368
 
7.2%
h 316
 
6.1%
r 315
 
6.1%
p 315
 
6.1%
g 312
 
6.1%
l 286
 
5.6%
b 281
 
5.5%
Other values (23) 1621
31.5%
Common
ValueCountFrequency (%)
. 751
42.8%
/ 736
42.0%
: 238
 
13.6%
1 6
 
0.3%
0 5
 
0.3%
4 4
 
0.2%
3 3
 
0.2%
2 3
 
0.2%
? 2
 
0.1%
_ 2
 
0.1%
Other values (3) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 751
 
10.9%
/ 736
 
10.7%
t 535
 
7.8%
i 408
 
5.9%
w 388
 
5.6%
o 368
 
5.3%
h 316
 
4.6%
r 315
 
4.6%
p 315
 
4.6%
g 312
 
4.5%
Other values (36) 2455
35.6%

Interactions

2024-03-13T08:55:59.493146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.083949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.272835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.557745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.143603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.331984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.624339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.208752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:55:59.413342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:56:03.549707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9980.9780.958
소재지우편번호0.9981.0000.9060.814
WGS84위도0.9780.9061.0000.643
WGS84경도0.9580.8140.6431.000
2024-03-13T08:56:03.618937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9060.2600.881
WGS84위도-0.9061.000-0.2770.736
WGS84경도0.260-0.2771.0000.663
시군명0.8810.7360.6631.000

Missing values

2024-03-13T08:55:59.710072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:56:00.013839image/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.

Sample

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0가평군조종도서관경기도 가평군 조종면 현리 420-6번지경기도 가평군 조종면 조종희망로26번길 221243837.818304127.352966031-580-4302http://www.gaplib.or.kr
1고양시고양시 가좌도서관경기도 고양시 일산서구 가좌동 388-24번지경기도 고양시 일산서구 가좌3로 161021037.686172126.720309031-8075-9374https://www.goyanglib.or.kr/ga/main/index.asp
2고양시고양시 대화도서관경기도 고양시 일산서구 대화동 2103번지경기도 고양시 일산서구 일산로 6891037037.681045126.753954031-8075-9133https://www.goyanglib.or.kr/dae/main/index.asp
3고양시고양시 덕이도서관경기도 고양시 일산서구 덕이동 1533번지경기도 고양시 일산서구 하이파크로 1281023037.70295126.754551031-8075-9313http://www.goyanglib.or.kr/duk/main/index.asp
4고양시고양시 마두도서관경기도 고양시 일산동구 마두동 1112번지경기도 고양시 일산동구 일산로 3551040837.666681126.782081031-8075-9064http://www.goyanglib.or.kr/madu/main/index.asp
5고양시고양시 백석도서관경기도 고양시 일산동구 백석동 1231번지경기도 고양시 일산동구 일산로 1181044437.647219126.793627031-8075-9082https://www.goyanglib.or.kr/baek/main/index.asp
6고양시고양시 별꿈도서관경기도 고양시 덕양구 동산동 371번지경기도 고양시 덕양구 고양대로 19371059537.645759126.894151031-8075-9305http://www.goyanglib.or.kr
7고양시고양시 삼송도서관경기도 고양시 덕양구 삼송동 321번지경기도 고양시 덕양구 덕수천1로 731058937.648865126.884842031-8075-9365http://www.goyanglib.or.kr/sam/main/index.asp
8고양시고양시 식사도서관경기도 고양시 일산동구 식사동 1562번지경기도 고양시 일산동구 위시티2로 43-61032337.676093126.81592031-8075-9184http://www.goyanglib.or.kr/sik/main/index.asp
9고양시고양시 신원도서관경기도 고양시 덕양구 신원동 607번지경기도 고양시 덕양구 신원2로 241056737.666386126.886364031-8075-9334http://www.goyanglib.or.kr/sin/main/index.asp
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
227화성시화성시 왕배푸른숲도서관경기도 화성시 산척동 753번지경기도 화성시 동탄대로12길 1021848937.179264127.113358070-4446-8832https://www.hscitylib.or.kr/wblib/index.do
228화성시화성시 정남도서관경기도 화성시 정남면 발산리 405-6번지경기도 화성시 정남면 만년로 5271851737.168212126.983138031-8059-4946http://www.hscitylib.or.kr/jnlib/
229화성시화성시립 봉담도서관경기도 화성시 봉담읍 상리 27-49번지경기도 화성시 봉담읍 샘마을1길 8-41831637.219412126.949054031-227-7281http://hscitylib.or.kr/bdlib/index.jsp
230화성시화성시립남양도서관경기도 화성시 남양읍 남양리 2255번지경기도 화성시 남양읍 역골중앙로 1431826237.210369126.825004031-356-5241http://www.hscitylib.or.kr/
231화성시화성시립두빛나래어린이도서관경기도 화성시 능동 1118번지경기도 화성시 동탄숲속로 69-141843137.209252127.056101031-8003-0748http://www.hscitylib.or.kr
232화성시화성시립둥지나래어린이도서관경기도 화성시 향남읍 행정리 490번지경기도 화성시 향남읍 행정중앙2로 881860037.129174126.924773070-4435-9558http://www.hscitylib.or.kr
233화성시화성시립병점도서관경기도 화성시 병점동 823번지경기도 화성시 병점3로 132-61840837.212342127.046131031-226-1822http://www.hscitylib.or.kr/bjlib/html/index.asp
234화성시화성시립삼괴도서관경기도 화성시 우정읍 조암리 411-2번지경기도 화성시 우정읍 쌍봉로 109-261856337.089312126.814321070-4246-8213https://www.hscitylib.or.kr/sglib/index.do
235화성시화성시립송산도서관경기도 화성시 송산면 사강리 625-4번지경기도 화성시 송산면 삼일공원로 871854937.216781126.739244070-4493-5936http://www.hscitylib.or.kr/sslib
236화성시화성시립태안도서관경기도 화성시 안녕동 20-5번지경기도 화성시 화산중앙로 191836237.206039127.013803031-223-4764http://www.hscitylib.or.kr/talib