Overview

Dataset statistics

Number of variables5
Number of observations330
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory40.4 B

Variable types

Categorical3
Text2

Dataset

Description김제시 소재의 종교시설 현황을 공개하는 데이터입니다. 종교구분(개신교, 천주교, 불교, 원불교), 시설명, 주소 정보를 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=31&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15117487

Alerts

전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
종교구분 is highly imbalanced (53.3%)Imbalance

Reproduction

Analysis started2024-03-14 01:26:27.142160
Analysis finished2024-03-14 01:26:27.437350
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종교구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
개신교
261 
불교
55 
천주교
 
7
원불교
 
7

Length

Max length3
Median length3
Mean length2.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 261
79.1%
불교 55
 
16.7%
천주교 7
 
2.1%
원불교 7
 
2.1%

Length

2024-03-14T10:26:27.492865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:26:27.600061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 261
79.1%
불교 55
 
16.7%
천주교 7
 
2.1%
원불교 7
 
2.1%

시설명
Text

Distinct321
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-14T10:26:27.850763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length4.6939394
Min length3

Characters and Unicode

Total characters1549
Distinct characters219
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

Unique312 ?
Unique (%)94.5%

Sample

1st row장산교회
2nd row대동교회
3rd row만경중앙교회
4th row만경교회
5th row몽산교회
ValueCountFrequency (%)
김제 4
 
1.2%
소망교회 2
 
0.6%
반석교회 2
 
0.6%
교회 2
 
0.6%
꿈이 2
 
0.6%
영광교회 2
 
0.6%
보현사 2
 
0.6%
세광교회 2
 
0.6%
대촌교회 2
 
0.6%
김제교회 2
 
0.6%
Other values (320) 322
93.6%
2024-03-14T10:26:28.158467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 270
 
17.4%
회 262
 
16.9%
사 50
 
3.2%
제 31
 
2.0%
성 31
 
2.0%
산 26
 
1.7%
김 24
 
1.5%
신 20
 
1.3%
중 18
 
1.2%
대 17
 
1.1%
Other values (209) 800
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1525
98.5%
Space Separator 14
 
0.9%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 270
 
17.7%
회 262
 
17.2%
사 50
 
3.3%
제 31
 
2.0%
성 31
 
2.0%
산 26
 
1.7%
김 24
 
1.6%
신 20
 
1.3%
중 18
 
1.2%
대 17
 
1.1%
Other values (206) 776
50.9%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1525
98.5%
Common 24
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 270
 
17.7%
회 262
 
17.2%
사 50
 
3.3%
제 31
 
2.0%
성 31
 
2.0%
산 26
 
1.7%
김 24
 
1.6%
신 20
 
1.3%
중 18
 
1.2%
대 17
 
1.1%
Other values (206) 776
50.9%
Common
ValueCountFrequency (%)
14
58.3%
( 5
 
20.8%
) 5
 
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1525
98.5%
ASCII 24
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 270
 
17.7%
회 262
 
17.2%
사 50
 
3.3%
제 31
 
2.0%
성 31
 
2.0%
산 26
 
1.7%
김 24
 
1.6%
신 20
 
1.3%
중 18
 
1.2%
대 17
 
1.1%
Other values (206) 776
50.9%
ASCII
ValueCountFrequency (%)
14
58.3%
( 5
 
20.8%
) 5
 
20.8%

주소
Text

Distinct328
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-14T10:26:28.415783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length15.027273
Min length9

Characters and Unicode

Total characters4959
Distinct characters160
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

Unique326 ?
Unique (%)98.8%

Sample

1st row김제시 만경읍 능제3길 102
2nd row김제시 만경읍 대동1길 49-22
3rd row김제시 만경읍 두내산로 56-16
4th row김제시 만경읍 만경2길 40
5th row김제시 만경읍 몽산길 201
ValueCountFrequency (%)
김제시 330
27.1%
금산면 33
 
2.7%
금구면 25
 
2.1%
백구면 21
 
1.7%
용지면 19
 
1.6%
만경읍 19
 
1.6%
백산면 16
 
1.3%
청하면 12
 
1.0%
봉남면 12
 
1.0%
죽산면 12
 
1.0%
Other values (539) 719
59.0%
2024-03-14T10:26:28.799832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
889
17.9%
제 336
 
6.8%
시 334
 
6.7%
김 330
 
6.7%
1 261
 
5.3%
길 205
 
4.1%
면 192
 
3.9%
2 176
 
3.5%
3 144
 
2.9%
4 124
 
2.5%
Other values (150) 1968
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2703
54.5%
Decimal Number 1219
24.6%
Space Separator 889
 
17.9%
Dash Punctuation 122
 
2.5%
Other Punctuation 10
 
0.2%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 336
 
12.4%
시 334
 
12.4%
김 330
 
12.2%
길 205
 
7.6%
면 192
 
7.1%
로 120
 
4.4%
산 99
 
3.7%
금 70
 
2.6%
구 55
 
2.0%
백 47
 
1.7%
Other values (135) 915
33.9%
Decimal Number
ValueCountFrequency (%)
1 261
21.4%
2 176
14.4%
3 144
11.8%
4 124
10.2%
5 120
9.8%
6 85
 
7.0%
7 83
 
6.8%
8 78
 
6.4%
0 78
 
6.4%
9 70
 
5.7%
Space Separator
ValueCountFrequency (%)
889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2703
54.5%
Common 2256
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 336
 
12.4%
시 334
 
12.4%
김 330
 
12.2%
길 205
 
7.6%
면 192
 
7.1%
로 120
 
4.4%
산 99
 
3.7%
금 70
 
2.6%
구 55
 
2.0%
백 47
 
1.7%
Other values (135) 915
33.9%
Common
ValueCountFrequency (%)
889
39.4%
1 261
 
11.6%
2 176
 
7.8%
3 144
 
6.4%
4 124
 
5.5%
- 122
 
5.4%
5 120
 
5.3%
6 85
 
3.8%
7 83
 
3.7%
8 78
 
3.5%
Other values (5) 174
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2703
54.5%
ASCII 2256
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
889
39.4%
1 261
 
11.6%
2 176
 
7.8%
3 144
 
6.4%
4 124
 
5.5%
- 122
 
5.4%
5 120
 
5.3%
6 85
 
3.8%
7 83
 
3.7%
8 78
 
3.5%
Other values (5) 174
 
7.7%
Hangul
ValueCountFrequency (%)
제 336
 
12.4%
시 334
 
12.4%
김 330
 
12.2%
길 205
 
7.6%
면 192
 
7.1%
로 120
 
4.4%
산 99
 
3.7%
금 70
 
2.6%
구 55
 
2.0%
백 47
 
1.7%
Other values (135) 915
33.9%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
비공개
330 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비공개 330
100.0%

Length

2024-03-14T10:26:28.926731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:26:29.028596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비공개 330
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-01-31
330 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-31
2nd row2023-01-31
3rd row2023-01-31
4th row2023-01-31
5th row2023-01-31

Common Values

ValueCountFrequency (%)
2023-01-31 330
100.0%

Length

2024-03-14T10:26:29.106215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:26:29.188920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-31 330
100.0%

Missing values

2024-03-14T10:26:27.334131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:26:27.405197image/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

종교구분시설명주소전화번호데이터기준일자
0개신교장산교회김제시 만경읍 능제3길 102비공개2023-01-31
1개신교대동교회김제시 만경읍 대동1길 49-22비공개2023-01-31
2개신교만경중앙교회김제시 만경읍 두내산로 56-16비공개2023-01-31
3개신교만경교회김제시 만경읍 만경2길 40비공개2023-01-31
4개신교몽산교회김제시 만경읍 몽산길 201비공개2023-01-31
5개신교문화대은교회김제시 만경읍 봉회길 82-127비공개2023-01-31
6개신교송상교회김제시 만경읍 송상리1길 101비공개2023-01-31
7개신교성민교회김제시 만경읍 대장로 299비공개2023-01-31
8개신교신금교회김제시 만경읍 만경로 1271-55비공개2023-01-31
9개신교예향교회김제시 만경읍 화포로 413비공개2023-01-31
종교구분시설명주소전화번호데이터기준일자
320불교명성암김제시 도작로 93, 102동 607호비공개2023-01-31
321불교약천사김제시 백학1길 87비공개2023-01-31
322불교대한불교일월조계종쌍룡사김제시 제월로 33비공개2023-01-31
323원불교화포교당김제시 만경읍 화포로 309-1비공개2023-01-31
324원불교만경교당김제시 만경읍 두내산로 37-25비공개2023-01-31
325원불교금구교당김제시 금구면 봉두4길 36비공개2023-01-31
326원불교봉황교당김제시 봉남면 봉남로 576-21비공개2023-01-31
327원불교용신교당김제시 봉남면 용신1길 2-13비공개2023-01-31
328원불교원평교당김제시 금산면 모악로 42비공개2023-01-31
329원불교원불교 김제교당김제시 신풍길 241-17비공개2023-01-31