Overview

Dataset statistics

Number of variables7
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory57.6 B

Variable types

Categorical5
Text2

Dataset

Description무인민원발급기설치현황20140718
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202079

Alerts

시군명 is highly overall correlated with 등기부등본 발급가능 and 1 other fieldsHigh correlation
운영시간 is highly overall correlated with 비고(2014-07-15) and 1 other fieldsHigh correlation
비고(2014-07-15) is highly overall correlated with 운영시간High correlation
등기부등본 발급가능 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
호적등초본 발급가능 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 03:25:24.726905
Analysis finished2024-03-14 03:25:25.446752
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
전주시완산구
14 
전주시덕진구
14 
군산
8 
익산
8 
완주
8 
Other values (10)
30 

Length

Max length6
Median length2
Mean length3.3658537
Min length2

Unique

Unique3 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
전주시완산구 14
17.1%
전주시덕진구 14
17.1%
군산 8
9.8%
익산 8
9.8%
완주 8
9.8%
정읍 7
8.5%
남원 5
 
6.1%
김제 5
 
6.1%
무주 3
 
3.7%
부안 3
 
3.7%
Other values (5) 7
8.5%

Length

2024-03-14T12:25:25.502572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시완산구 14
17.1%
전주시덕진구 14
17.1%
군산 8
9.8%
익산 8
9.8%
완주 8
9.8%
정읍 7
8.5%
남원 5
 
6.1%
김제 5
 
6.1%
무주 3
 
3.7%
부안 3
 
3.7%
Other values (5) 7
8.5%

설치장소
Text

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-14T12:25:25.735720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.560976
Min length5

Characters and Unicode

Total characters866
Distinct characters149
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)97.6%

Sample

1st row전주시청 민원실 내
2nd row완산구청 민원실 입구
3rd row전북도청 민원실 앞
4th row서신동 주민센터 내부
5th row서신동 주민센터 외부
ValueCountFrequency (%)
주민센터 20
 
9.4%
내 19
 
8.9%
민원실 17
 
8.0%
입구 16
 
7.5%
출입구 15
 
7.0%
앞 8
 
3.8%
민원실내 5
 
2.3%
조촌동 2
 
0.9%
민원센터 2
 
0.9%
김제시청 2
 
0.9%
Other values (99) 107
50.2%
2024-03-14T12:25:26.136165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
15.1%
민 47
 
5.4%
원 37
 
4.3%
구 33
 
3.8%
동 31
 
3.6%
입 31
 
3.6%
내 31
 
3.6%
주 27
 
3.1%
실 25
 
2.9%
센 24
 
2.8%
Other values (139) 449
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 708
81.8%
Space Separator 131
 
15.1%
Decimal Number 21
 
2.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 47
 
6.6%
원 37
 
5.2%
구 33
 
4.7%
동 31
 
4.4%
입 31
 
4.4%
내 31
 
4.4%
주 27
 
3.8%
실 25
 
3.5%
센 24
 
3.4%
터 24
 
3.4%
Other values (128) 398
56.2%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
3 4
19.0%
2 4
19.0%
6 2
 
9.5%
5 2
 
9.5%
4 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 708
81.8%
Common 156
 
18.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 47
 
6.6%
원 37
 
5.2%
구 33
 
4.7%
동 31
 
4.4%
입 31
 
4.4%
내 31
 
4.4%
주 27
 
3.8%
실 25
 
3.5%
센 24
 
3.4%
터 24
 
3.4%
Other values (128) 398
56.2%
Common
ValueCountFrequency (%)
131
84.0%
1 8
 
5.1%
3 4
 
2.6%
2 4
 
2.6%
( 2
 
1.3%
6 2
 
1.3%
5 2
 
1.3%
) 2
 
1.3%
4 1
 
0.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 708
81.8%
ASCII 158
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
82.9%
1 8
 
5.1%
3 4
 
2.5%
2 4
 
2.5%
( 2
 
1.3%
6 2
 
1.3%
5 2
 
1.3%
) 2
 
1.3%
K 1
 
0.6%
4 1
 
0.6%
Hangul
ValueCountFrequency (%)
민 47
 
6.6%
원 37
 
5.2%
구 33
 
4.7%
동 31
 
4.4%
입 31
 
4.4%
내 31
 
4.4%
주 27
 
3.8%
실 25
 
3.5%
센 24
 
3.4%
터 24
 
3.4%
Other values (128) 398
56.2%

소 재 지
Text

Distinct78
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-03-14T12:25:26.427363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.04878
Min length6

Characters and Unicode

Total characters824
Distinct characters126
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 (%)90.2%

Sample

1st row완산구 노송광장로 10
2nd row완산구 서원로 232
3rd row완산구 효자로 225
4th row완산구 서신천변14길 10
5th row완산구 서신천변14길 10
ValueCountFrequency (%)
덕진구 14
 
6.5%
완산구 14
 
6.5%
중앙로 6
 
2.8%
시청로 3
 
1.4%
부안읍 3
 
1.4%
봉동읍 3
 
1.4%
25 3
 
1.4%
10 3
 
1.4%
7 3
 
1.4%
조촌로 2
 
0.9%
Other values (151) 162
75.0%
2024-03-14T12:25:26.828710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
16.3%
로 64
 
7.8%
1 58
 
7.0%
2 34
 
4.1%
구 30
 
3.6%
산 25
 
3.0%
5 25
 
3.0%
3 24
 
2.9%
9 21
 
2.5%
길 19
 
2.3%
Other values (116) 390
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
53.5%
Decimal Number 236
28.6%
Space Separator 134
 
16.3%
Dash Punctuation 9
 
1.1%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 64
 
14.5%
구 30
 
6.8%
산 25
 
5.7%
길 19
 
4.3%
진 16
 
3.6%
완 14
 
3.2%
덕 14
 
3.2%
읍 13
 
2.9%
동 10
 
2.3%
면 9
 
2.0%
Other values (102) 227
51.5%
Decimal Number
ValueCountFrequency (%)
1 58
24.6%
2 34
14.4%
5 25
10.6%
3 24
10.2%
9 21
 
8.9%
0 18
 
7.6%
7 17
 
7.2%
6 16
 
6.8%
4 14
 
5.9%
8 9
 
3.8%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
53.5%
Common 383
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 64
 
14.5%
구 30
 
6.8%
산 25
 
5.7%
길 19
 
4.3%
진 16
 
3.6%
완 14
 
3.2%
덕 14
 
3.2%
읍 13
 
2.9%
동 10
 
2.3%
면 9
 
2.0%
Other values (102) 227
51.5%
Common
ValueCountFrequency (%)
134
35.0%
1 58
15.1%
2 34
 
8.9%
5 25
 
6.5%
3 24
 
6.3%
9 21
 
5.5%
0 18
 
4.7%
7 17
 
4.4%
6 16
 
4.2%
4 14
 
3.7%
Other values (4) 22
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
53.5%
ASCII 383
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
35.0%
1 58
15.1%
2 34
 
8.9%
5 25
 
6.5%
3 24
 
6.3%
9 21
 
5.5%
0 18
 
4.7%
7 17
 
4.4%
6 16
 
4.2%
4 14
 
3.7%
Other values (4) 22
 
5.7%
Hangul
ValueCountFrequency (%)
로 64
 
14.5%
구 30
 
6.8%
산 25
 
5.7%
길 19
 
4.3%
진 16
 
3.6%
완 14
 
3.2%
덕 14
 
3.2%
읍 13
 
2.9%
동 10
 
2.3%
면 9
 
2.0%
Other values (102) 227
51.5%

운영시간
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
24시간
36 
09:00~18:00
21 
08:00~18:00
6 
08:00~20:00
5 
08:00~22:00
4 
Other values (10)
10 

Length

Max length11
Median length11
Mean length7.7926829
Min length1

Unique

Unique10 ?
Unique (%)12.2%

Sample

1st row05:00~24:00
2nd row24시간
3rd row24시간
4th row09:00~18:00
5th row24시간

Common Values

ValueCountFrequency (%)
24시간 36
43.9%
09:00~18:00 21
25.6%
08:00~18:00 6
 
7.3%
08:00~20:00 5
 
6.1%
08:00~22:00 4
 
4.9%
05:00~24:00 1
 
1.2%
08:00~23:00 1
 
1.2%
09:00~21:00 1
 
1.2%
08:00~24:00 1
 
1.2%
07:30~22:00 1
 
1.2%
Other values (5) 5
 
6.1%

Length

2024-03-14T12:25:26.949965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
24시간 36
43.9%
09:00~18:00 21
25.6%
08:00~18:00 6
 
7.3%
08:00~20:00 5
 
6.1%
08:00~22:00 4
 
4.9%
05:00~24:00 1
 
1.2%
08:00~23:00 1
 
1.2%
09:00~21:00 1
 
1.2%
08:00~24:00 1
 
1.2%
07:30~22:00 1
 
1.2%
Other values (5) 5
 
6.1%

비고(2014-07-15)
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
-
46 
토·일요일,공휴일 이용불가
19 
※ 가족관계등록부:토·일요일,공휴일 이용불가 ※ 등기부 등본 :일요일,공휴일 이용불가
8 
토,일,공휴일제외
 
4
토.일요일 이용가능(09:00~18:00)
 
1
Other values (4)
 
4

Length

Max length47
Median length1
Mean length10.329268
Min length1

Unique

Unique5 ?
Unique (%)6.1%

Sample

1st row-
2nd row-
3rd row-
4th row토,일,공휴일제외
5th row-

Common Values

ValueCountFrequency (%)
- 46
56.1%
토·일요일,공휴일 이용불가 19
23.2%
※ 가족관계등록부:토·일요일,공휴일 이용불가 ※ 등기부 등본 :일요일,공휴일 이용불가 8
 
9.8%
토,일,공휴일제외 4
 
4.9%
토.일요일 이용가능(09:00~18:00) 1
 
1.2%
등기부등본 전용 토·일요일,공휴일 이용불가 1
 
1.2%
호적(공휴일이용불가) 등기부등본(일.공휴일 이용불가) 1
 
1.2%
window xp 기술지원 중단으로 14.4.30부터 기기운영중단 1
 
1.2%
공휴일,일요일이용불가 1
 
1.2%

Length

2024-03-14T12:25:27.039832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:25:27.128909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46
27.4%
이용불가 37
22.0%
토·일요일,공휴일 20
11.9%
※ 16
 
9.5%
가족관계등록부:토·일요일,공휴일 8
 
4.8%
등기부 8
 
4.8%
등본 8
 
4.8%
일요일,공휴일 8
 
4.8%
토,일,공휴일제외 4
 
2.4%
window 1
 
0.6%
Other values (12) 12
 
7.1%

등기부등본 발급가능
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
O
37 
-
37 
O(토일은 불가)
6 
o
 
1
x
 
1

Length

Max length9
Median length1
Mean length1.5853659
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st rowO
2nd rowO
3rd rowO
4th row-
5th rowO

Common Values

ValueCountFrequency (%)
O 37
45.1%
- 37
45.1%
O(토일은 불가) 6
 
7.3%
o 1
 
1.2%
x 1
 
1.2%

Length

2024-03-14T12:25:27.513157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:25:27.602155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 38
43.2%
37
42.0%
o(토일은 6
 
6.8%
불가 6
 
6.8%
x 1
 
1.1%

호적등초본 발급가능
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
O
51 
-
22 
O(토일은 불가)
 
5
o
 
2
O(토.일은 불가)
 
1

Length

Max length11
Median length1
Mean length1.7195122
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
O 51
62.2%
- 22
26.8%
O(토일은 불가) 5
 
6.1%
o 2
 
2.4%
O(토.일은 불가) 1
 
1.2%
O(가족관계증명서등) 1
 
1.2%

Length

2024-03-14T12:25:27.692355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:25:27.782409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 53
60.2%
22
25.0%
불가 6
 
6.8%
o(토일은 5
 
5.7%
o(토.일은 1
 
1.1%
o(가족관계증명서등 1
 
1.1%

Correlations

2024-03-14T12:25:27.876999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명설치장소소 재 지운영시간비고(2014-07-15)등기부등본 발급가능호적등초본 발급가능
시군명1.0000.9881.0000.9090.8150.9140.932
설치장소0.9881.0000.9951.0000.9760.9751.000
소 재 지1.0000.9951.0000.9210.0000.9650.998
운영시간0.9091.0000.9211.0000.8370.5400.807
비고(2014-07-15)0.8150.9760.0000.8371.0000.3130.731
등기부등본 발급가능0.9140.9750.9650.5400.3131.0000.828
호적등초본 발급가능0.9321.0000.9980.8070.7310.8281.000
2024-03-14T12:25:28.012594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간등기부등본 발급가능호적등초본 발급가능시군명비고(2014-07-15)
운영시간1.0000.2390.5060.4610.515
등기부등본 발급가능0.2391.0000.7220.5930.178
호적등초본 발급가능0.5060.7221.0000.7170.459
시군명0.4610.5930.7171.0000.483
비고(2014-07-15)0.5150.1780.4590.4831.000
2024-03-14T12:25:28.125344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명운영시간비고(2014-07-15)등기부등본 발급가능호적등초본 발급가능
시군명1.0000.4610.4830.5930.717
운영시간0.4611.0000.5150.2390.506
비고(2014-07-15)0.4830.5151.0000.1780.459
등기부등본 발급가능0.5930.2390.1781.0000.722
호적등초본 발급가능0.7170.5060.4590.7221.000

Missing values

2024-03-14T12:25:25.327100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:25:25.411126image/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

시군명설치장소소 재 지운영시간비고(2014-07-15)등기부등본 발급가능호적등초본 발급가능
0전주시완산구전주시청 민원실 내완산구 노송광장로 1005:00~24:00-OO
1전주시완산구완산구청 민원실 입구완산구 서원로 23224시간-OO
2전주시완산구전북도청 민원실 앞완산구 효자로 22524시간-OO
3전주시완산구서신동 주민센터 내부완산구 서신천변14길 1009:00~18:00토,일,공휴일제외-O
4전주시완산구서신동 주민센터 외부완산구 서신천변14길 1024시간-OO
5전주시완산구삼천3동 주민센터 입구완산구 삼천천변2길 3724시간-OO
6전주시완산구평화2동 주민센터 앞완산구 평화18길 14-1624시간--O
7전주시완산구풍남동 주민센터 입구완산구 어진길 122-1224시간-OO
8전주시완산구삼천1동 주민센터 입구완산구 성지산로 3324시간--O
9전주시완산구효자4동 주민센터 입구완산구 우전로 25924시간--O
시군명설치장소소 재 지운영시간비고(2014-07-15)등기부등본 발급가능호적등초본 발급가능
72무주안성면사무소 출입구안성면 안성로 246-1709:00~18:00---
73장수산서면사무소 출입구 오른쪽산서면 보산로 185809:00~18:00토·일요일,공휴일 이용불가OO
74장수장계면사무소 출입구 중앙현황 왼쪽장계면 한들로 153-309:00~18:00토·일요일,공휴일 이용불가OO
75임실임실군청 민원실 내임실읍 수정로 3008:30~17:30토·일요일,공휴일 이용불가OO(가족관계증명서등)
76순창순창농협 365코너순창읍 순창2길 2508:00~22:00---
77고창고창군청 민원실 출입구고창읍 중앙로 2508:00~22:00-oo
78고창농협하나로마트 출입구고창읍 성산로 2208:00~22:00-xo
79부안부안군지부 농협 365코너부안읍 번영로 121-window xp 기술지원 중단으로 14.4.30부터 기기운영중단--
80부안부안군청 민원실 로비부안읍 당산로 9107:00~22:00-OO
81부안부안KT 민원실부안읍 석정로 1799:00~18:00공휴일,일요일이용불가--