Overview

Dataset statistics

Number of variables5
Number of observations706
Missing cells234
Missing cells (%)6.6%
Duplicate rows2
Duplicate rows (%)0.3%
Total size in memory27.7 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text4

Dataset

Description대한민국 전북특별자치도 군산시 종교단체 현황을 알려드립니다. 종교분류(기독교, 천주교, 불교) 종교단체명, 종교시설 도로명주소, 종교시설 지번주소, 종교시설 전화번호
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=2&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15060714

Alerts

Dataset has 2 (0.3%) duplicate rowsDuplicates
종교분류 is highly imbalanced (74.2%)Imbalance
전화번호 has 230 (32.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 00:39:54.526696
Analysis finished2024-03-14 00:39:55.048045
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종교분류
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
기독교
659 
사찰
 
34
성당
 
13

Length

Max length3
Median length3
Mean length2.9334278
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 659
93.3%
사찰 34
 
4.8%
성당 13
 
1.8%

Length

2024-03-14T09:39:55.102883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:39:55.198134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 659
93.3%
사찰 34
 
4.8%
성당 13
 
1.8%

종교단체명
Text

Distinct610
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-14T09:39:55.384251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.9617564
Min length3

Characters and Unicode

Total characters3503
Distinct characters313
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

Unique539 ?
Unique (%)76.3%

Sample

1st row갈릴리기도원
2nd row다기생명샘교회
3rd row대은교회
4th row서부교회
5th row둔산제일교회
ValueCountFrequency (%)
교회 8
 
1.1%
행복한교회 5
 
0.7%
소망교회 5
 
0.7%
생명나무교회 4
 
0.6%
예닮교회 4
 
0.6%
주영광교회 4
 
0.6%
아름다운교회 4
 
0.6%
새군산교회 3
 
0.4%
영광교회 3
 
0.4%
영생교회 3
 
0.4%
Other values (607) 677
94.0%
2024-03-14T09:39:55.734121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 656
 
18.7%
회 656
 
18.7%
산 96
 
2.7%
성 92
 
2.6%
군 70
 
2.0%
사 49
 
1.4%
주 39
 
1.1%
은 38
 
1.1%
복 37
 
1.1%
한 36
 
1.0%
Other values (303) 1734
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3469
99.0%
Space Separator 15
 
0.4%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 656
 
18.9%
회 656
 
18.9%
산 96
 
2.8%
성 92
 
2.7%
군 70
 
2.0%
사 49
 
1.4%
주 39
 
1.1%
은 38
 
1.1%
복 37
 
1.1%
한 36
 
1.0%
Other values (299) 1700
49.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3469
99.0%
Common 34
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 656
 
18.9%
회 656
 
18.9%
산 96
 
2.8%
성 92
 
2.7%
군 70
 
2.0%
사 49
 
1.4%
주 39
 
1.1%
은 38
 
1.1%
복 37
 
1.1%
한 36
 
1.0%
Other values (299) 1700
49.0%
Common
ValueCountFrequency (%)
15
44.1%
) 9
26.5%
( 9
26.5%
2 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3469
99.0%
ASCII 34
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 656
 
18.9%
회 656
 
18.9%
산 96
 
2.8%
성 92
 
2.7%
군 70
 
2.0%
사 49
 
1.4%
주 39
 
1.1%
은 38
 
1.1%
복 37
 
1.1%
한 36
 
1.0%
Other values (299) 1700
49.0%
ASCII
ValueCountFrequency (%)
15
44.1%
) 9
26.5%
( 9
26.5%
2 1
 
2.9%

소재지도로명주소
Text

Distinct698
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-14T09:39:56.107232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length21.070822
Min length17

Characters and Unicode

Total characters14876
Distinct characters219
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique690 ?
Unique (%)97.7%

Sample

1st row전북특별자치도 군산시 옥구읍 남군산로 1530
2nd row전북특별자치도 군산시 옥구읍 오곡길 117
3rd row전북특별자치도 군산시 옥구읍 동마산길 5-5
4th row전북특별자치도 군산시 옥구읍 둔산1길 27-16
5th row전북특별자치도 군산시 옥구읍 둔산1길 74
ValueCountFrequency (%)
군산시 707
23.3%
전북특별자치도 706
23.2%
대야면 25
 
0.8%
2층 25
 
0.8%
옥구읍 19
 
0.6%
대학로 19
 
0.6%
옥산면 17
 
0.6%
개정면 17
 
0.6%
임피면 16
 
0.5%
서수면 16
 
0.5%
Other values (801) 1472
48.4%
2024-03-14T09:39:56.562213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2333
 
15.7%
산 775
 
5.2%
도 734
 
4.9%
군 717
 
4.8%
북 712
 
4.8%
전 711
 
4.8%
자 711
 
4.8%
시 709
 
4.8%
치 706
 
4.7%
별 706
 
4.7%
Other values (209) 6062
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10074
67.7%
Space Separator 2333
 
15.7%
Decimal Number 2198
 
14.8%
Dash Punctuation 206
 
1.4%
Other Punctuation 61
 
0.4%
Math Symbol 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 775
 
7.7%
도 734
 
7.3%
군 717
 
7.1%
북 712
 
7.1%
전 711
 
7.1%
자 711
 
7.1%
시 709
 
7.0%
치 706
 
7.0%
별 706
 
7.0%
특 706
 
7.0%
Other values (192) 2887
28.7%
Decimal Number
ValueCountFrequency (%)
1 495
22.5%
2 416
18.9%
3 270
12.3%
4 210
9.6%
5 166
 
7.6%
0 144
 
6.6%
6 143
 
6.5%
9 132
 
6.0%
7 118
 
5.4%
8 104
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 57
93.4%
. 4
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
2333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10074
67.7%
Common 4800
32.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 775
 
7.7%
도 734
 
7.3%
군 717
 
7.1%
북 712
 
7.1%
전 711
 
7.1%
자 711
 
7.1%
시 709
 
7.0%
치 706
 
7.0%
별 706
 
7.0%
특 706
 
7.0%
Other values (192) 2887
28.7%
Common
ValueCountFrequency (%)
2333
48.6%
1 495
 
10.3%
2 416
 
8.7%
3 270
 
5.6%
4 210
 
4.4%
- 206
 
4.3%
5 166
 
3.5%
0 144
 
3.0%
6 143
 
3.0%
9 132
 
2.8%
Other values (5) 285
 
5.9%
Latin
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10074
67.7%
ASCII 4802
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2333
48.6%
1 495
 
10.3%
2 416
 
8.7%
3 270
 
5.6%
4 210
 
4.4%
- 206
 
4.3%
5 166
 
3.5%
0 144
 
3.0%
6 143
 
3.0%
9 132
 
2.7%
Other values (7) 287
 
6.0%
Hangul
ValueCountFrequency (%)
산 775
 
7.7%
도 734
 
7.3%
군 717
 
7.1%
북 712
 
7.1%
전 711
 
7.1%
자 711
 
7.1%
시 709
 
7.0%
치 706
 
7.0%
별 706
 
7.0%
특 706
 
7.0%
Other values (192) 2887
28.7%

소재지지번주소
Text

Distinct693
Distinct (%)98.7%
Missing4
Missing (%)0.6%
Memory size5.6 KiB
2024-03-14T09:39:56.808368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length24.316239
Min length20

Characters and Unicode

Total characters17070
Distinct characters145
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)97.4%

Sample

1st row전북특별자치도 군산시 옥구읍 어은리22번지
2nd row전북특별자치도 군산시 옥구읍 오곡리227-1번지
3rd row전북특별자치도 군산시 옥구읍 어은리198-1번지
4th row전북특별자치도 군산시 옥구읍 어은리339-2번지
5th row전북특별자치도 군산시 옥구읍 어은리679번지
ValueCountFrequency (%)
군산시 703
29.8%
전북특별자치도 702
29.8%
2층 26
 
1.1%
대야면 25
 
1.1%
옥구읍 19
 
0.8%
옥산면 17
 
0.7%
개정면 16
 
0.7%
서수면 16
 
0.7%
임피면 16
 
0.7%
옥도면 14
 
0.6%
Other values (736) 802
34.0%
2024-03-14T09:39:57.182820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2293
 
13.4%
산 814
 
4.8%
북 743
 
4.4%
지 740
 
4.3%
도 734
 
4.3%
시 705
 
4.1%
자 703
 
4.1%
군 703
 
4.1%
전 702
 
4.1%
특 702
 
4.1%
Other values (135) 8231
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11178
65.5%
Decimal Number 3004
 
17.6%
Space Separator 2293
 
13.4%
Dash Punctuation 593
 
3.5%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 814
 
7.3%
북 743
 
6.6%
지 740
 
6.6%
도 734
 
6.6%
시 705
 
6.3%
자 703
 
6.3%
군 703
 
6.3%
전 702
 
6.3%
특 702
 
6.3%
별 702
 
6.3%
Other values (121) 3930
35.2%
Decimal Number
ValueCountFrequency (%)
1 540
18.0%
2 340
11.3%
3 319
10.6%
5 318
10.6%
4 290
9.7%
7 287
9.6%
8 267
8.9%
6 248
8.3%
9 203
 
6.8%
0 192
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
2293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11178
65.5%
Common 5890
34.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 814
 
7.3%
북 743
 
6.6%
지 740
 
6.6%
도 734
 
6.6%
시 705
 
6.3%
자 703
 
6.3%
군 703
 
6.3%
전 702
 
6.3%
특 702
 
6.3%
별 702
 
6.3%
Other values (121) 3930
35.2%
Common
ValueCountFrequency (%)
2293
38.9%
- 593
 
10.1%
1 540
 
9.2%
2 340
 
5.8%
3 319
 
5.4%
5 318
 
5.4%
4 290
 
4.9%
7 287
 
4.9%
8 267
 
4.5%
6 248
 
4.2%
Other values (2) 395
 
6.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11178
65.5%
ASCII 5892
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2293
38.9%
- 593
 
10.1%
1 540
 
9.2%
2 340
 
5.8%
3 319
 
5.4%
5 318
 
5.4%
4 290
 
4.9%
7 287
 
4.9%
8 267
 
4.5%
6 248
 
4.2%
Other values (4) 397
 
6.7%
Hangul
ValueCountFrequency (%)
산 814
 
7.3%
북 743
 
6.6%
지 740
 
6.6%
도 734
 
6.6%
시 705
 
6.3%
자 703
 
6.3%
군 703
 
6.3%
전 702
 
6.3%
특 702
 
6.3%
별 702
 
6.3%
Other values (121) 3930
35.2%

전화번호
Text

MISSING 

Distinct472
Distinct (%)99.2%
Missing230
Missing (%)32.6%
Memory size5.6 KiB
2024-03-14T09:39:57.388678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.991597
Min length8

Characters and Unicode

Total characters5708
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

Unique469 ?
Unique (%)98.5%

Sample

1st row063-471-1178
2nd row063-464-8621
3rd row063-471-5999
4th row063-471-3395
5th row063-471-1871
ValueCountFrequency (%)
063-442-9931 3
 
0.6%
063-464-0191 2
 
0.4%
063-465-3272 2
 
0.4%
063-453-0050 1
 
0.2%
063-463-1608 1
 
0.2%
063-464-9192 1
 
0.2%
063-468-6217 1
 
0.2%
063-461-6285 1
 
0.2%
063-463-3124 1
 
0.2%
063-463-3005 1
 
0.2%
Other values (462) 462
97.1%
2024-03-14T09:39:57.710380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 951
16.7%
6 903
15.8%
3 759
13.3%
4 741
13.0%
0 729
12.8%
1 394
6.9%
5 340
 
6.0%
2 281
 
4.9%
9 225
 
3.9%
7 209
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4757
83.3%
Dash Punctuation 951
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 903
19.0%
3 759
16.0%
4 741
15.6%
0 729
15.3%
1 394
8.3%
5 340
 
7.1%
2 281
 
5.9%
9 225
 
4.7%
7 209
 
4.4%
8 176
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 951
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 951
16.7%
6 903
15.8%
3 759
13.3%
4 741
13.0%
0 729
12.8%
1 394
6.9%
5 340
 
6.0%
2 281
 
4.9%
9 225
 
3.9%
7 209
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 951
16.7%
6 903
15.8%
3 759
13.3%
4 741
13.0%
0 729
12.8%
1 394
6.9%
5 340
 
6.0%
2 281
 
4.9%
9 225
 
3.9%
7 209
 
3.7%

Missing values

2024-03-14T09:39:54.860571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:39:54.932283image/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.
2024-03-14T09:39:55.011762image/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

종교분류종교단체명소재지도로명주소소재지지번주소전화번호
0기독교갈릴리기도원전북특별자치도 군산시 옥구읍 남군산로 1530전북특별자치도 군산시 옥구읍 어은리22번지063-471-1178
1기독교다기생명샘교회전북특별자치도 군산시 옥구읍 오곡길 117전북특별자치도 군산시 옥구읍 오곡리227-1번지063-464-8621
2기독교대은교회전북특별자치도 군산시 옥구읍 동마산길 5-5전북특별자치도 군산시 옥구읍 어은리198-1번지063-471-5999
3기독교서부교회전북특별자치도 군산시 옥구읍 둔산1길 27-16전북특별자치도 군산시 옥구읍 어은리339-2번지063-471-3395
4기독교둔산제일교회전북특별자치도 군산시 옥구읍 둔산1길 74전북특별자치도 군산시 옥구읍 어은리679번지<NA>
5기독교믿음의 교회전북특별자치도 군산시 옥구읍 할미로 144전북특별자치도 군산시 옥구읍 옥정리439-2번지<NA>
6기독교베데스다예수마을전북특별자치도 군산시 옥구읍 광월길 63전북특별자치도 군산시 옥구읍 상평리595번지<NA>
7기독교빛과소금선교회전북특별자치도 군산시 옥구읍 향교골길 58전북특별자치도 군산시 옥구읍 이곡리712번지063-471-1871
8기독교산소망교회전북특별자치도 군산시 옥구읍 광월길 56전북특별자치도 군산시 옥구읍 상평리547-1번지063-463-7393
9기독교상평교회전북특별자치도 군산시 옥구읍 상평향교길 15-14전북특별자치도 군산시 옥구읍 상평리728-1번지063-464-9384
종교분류종교단체명소재지도로명주소소재지지번주소전화번호
696성당나운동성당전북특별자치도 군산시 한밭3길 20전북특별자치도 군산시 나운동1188-21번지063-463-8788
697성당지곡성당전북특별자치도 군산시 의료원로 99-4전북특별자치도 군산시 지곡동289-26번지063-467-7500
698성당수송동성당전북특별자치도 군산시 남수송5길 43전북특별자치도 군산시 수송동785-1번지063-461-0091
699성당월명동성당전북특별자치도 군산시 구영6길 5전북특별자치도 군산시 월명동16-11번지063-443-2581
700성당둔율동성당전북특별자치도 군산시 둔배미길 24전북특별자치도 군산시 둔율동156-2번지063-443-2461
701성당조촌동성당전북특별자치도 군산시 조촌4길 84전북특별자치도 군산시 조촌동836-11번지063-451-1401
702성당축동성당전북특별자치도 군산시 축동안2길 51전북특별자치도 군산시 수송동921번지063-467-5630
703성당팔마성당전북특별자치도 군산시 서래내길 9전북특별자치도 군산시 경장동463-9번지063-442-4044
704성당소룡동성당전북특별자치도 군산시 칠성로 181전북특별자치도 군산시 소룡동1564-8번지063-466-3433
705성당오룡동성당전북특별자치도 군산시 오룡안1길 19전북특별자치도 군산시 오룡동856-1번지063-463-7212

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0기독교한마음교회전북특별자치도 군산시 백릉로 247전북특별자치도 군산시 구암동307-10번지063-442-99312
1기독교행복한교회전북특별자치도 군산시 상지곡안2길 4-5전북특별자치도 군산시 지곡동502-20번지063-464-01912