Overview

Dataset statistics

Number of variables6
Number of observations305
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory14.4 KiB
Average record size in memory48.4 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description경기도 군포시 관내 종교시설 현황에 대한 데이터로 시도명, 시군구명, 종교구분, 시설명, 소재지(도로명), 데이터기준일자 항목을 제공합니다.
Author경기도 군포시
URLhttps://www.data.go.kr/data/15089144/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates
종교구분 is highly imbalanced (74.1%)Imbalance

Reproduction

Analysis started2023-12-12 15:02:49.161939
Analysis finished2023-12-12 15:02:49.607955
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경기도
305 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 305
100.0%

Length

2023-12-13T00:02:49.673560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:49.773654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 305
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
군포시
305 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군포시 305
100.0%

Length

2023-12-13T00:02:49.882045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:49.975453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군포시 305
100.0%

종교구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
기독교
285 
불교
 
13
천주교
 
7

Length

Max length3
Median length3
Mean length2.957377
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 285
93.4%
불교 13
 
4.3%
천주교 7
 
2.3%

Length

2023-12-13T00:02:50.098544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:50.210163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 285
93.4%
불교 13
 
4.3%
천주교 7
 
2.3%

시설명
Text

Distinct285
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T00:02:50.472671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.2491803
Min length3

Characters and Unicode

Total characters1601
Distinct characters220
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

Unique266 ?
Unique (%)87.2%

Sample

1st row법해사
2nd row만수사
3rd row천지사
4th row용진사
5th row성불사
ValueCountFrequency (%)
사랑의교회 3
 
1.0%
새중앙교회 2
 
0.6%
교회 2
 
0.6%
산본교회 2
 
0.6%
선한목자교회 2
 
0.6%
청지기교회 2
 
0.6%
소명교회 2
 
0.6%
회복교회 2
 
0.6%
희망찬교회 2
 
0.6%
평안교회 2
 
0.6%
Other values (280) 291
93.3%
2023-12-13T00:02:50.868504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 290
 
18.1%
교 287
 
17.9%
성 31
 
1.9%
사 27
 
1.7%
산 27
 
1.7%
군 26
 
1.6%
포 26
 
1.6%
예 20
 
1.2%
본 20
 
1.2%
복 17
 
1.1%
Other values (210) 830
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
98.7%
Space Separator 7
 
0.4%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 290
 
18.4%
교 287
 
18.2%
성 31
 
2.0%
사 27
 
1.7%
산 27
 
1.7%
군 26
 
1.6%
포 26
 
1.6%
예 20
 
1.3%
본 20
 
1.3%
복 17
 
1.1%
Other values (203) 809
51.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
C 1
25.0%
F 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
98.7%
Common 17
 
1.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 290
 
18.4%
교 287
 
18.2%
성 31
 
2.0%
사 27
 
1.7%
산 27
 
1.7%
군 26
 
1.6%
포 26
 
1.6%
예 20
 
1.3%
본 20
 
1.3%
복 17
 
1.1%
Other values (203) 809
51.2%
Latin
ValueCountFrequency (%)
M 1
25.0%
C 1
25.0%
F 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
7
41.2%
) 5
29.4%
( 5
29.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
98.7%
ASCII 21
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 290
 
18.4%
교 287
 
18.2%
성 31
 
2.0%
사 27
 
1.7%
산 27
 
1.7%
군 26
 
1.6%
포 26
 
1.6%
예 20
 
1.3%
본 20
 
1.3%
복 17
 
1.1%
Other values (203) 809
51.2%
ASCII
ValueCountFrequency (%)
7
33.3%
) 5
23.8%
( 5
23.8%
M 1
 
4.8%
C 1
 
4.8%
F 1
 
4.8%
A 1
 
4.8%

소재지(도로명)
Text

Distinct294
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T00:02:51.161629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.291803
Min length15

Characters and Unicode

Total characters6799
Distinct characters71
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

Unique283 ?
Unique (%)92.8%

Sample

1st row경기도 군포시 산본로 240(당동)
2nd row경기도 군포시 용호1로21번길 22(당동)
3rd row경기도 군포시 군포로683번길 14(금정동)
4th row경기도 군포시 수리산로 81-94(산본동)
5th row경기도 군포시 수리산로 81-82(산본동)
ValueCountFrequency (%)
경기도 305
24.5%
군포시 305
24.5%
고산로 18
 
1.4%
번영로 18
 
1.4%
당산로 17
 
1.4%
금산로 14
 
1.1%
산본로323번길 14
 
1.1%
산본로 11
 
0.9%
금정동 8
 
0.6%
군포로 8
 
0.6%
Other values (388) 525
42.2%
2023-12-13T00:02:51.613085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
955
 
14.0%
군 331
 
4.9%
포 331
 
4.9%
도 313
 
4.6%
동 306
 
4.5%
경 305
 
4.5%
기 305
 
4.5%
시 305
 
4.5%
로 304
 
4.5%
) 299
 
4.4%
Other values (61) 3045
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3990
58.7%
Decimal Number 1184
 
17.4%
Space Separator 955
 
14.0%
Close Punctuation 299
 
4.4%
Open Punctuation 299
 
4.4%
Dash Punctuation 68
 
1.0%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 331
 
8.3%
포 331
 
8.3%
도 313
 
7.8%
동 306
 
7.7%
경 305
 
7.6%
기 305
 
7.6%
시 305
 
7.6%
로 304
 
7.6%
산 248
 
6.2%
번 202
 
5.1%
Other values (46) 1040
26.1%
Decimal Number
ValueCountFrequency (%)
1 251
21.2%
2 183
15.5%
3 147
12.4%
4 117
9.9%
5 113
9.5%
6 89
 
7.5%
7 82
 
6.9%
8 71
 
6.0%
0 67
 
5.7%
9 64
 
5.4%
Space Separator
ValueCountFrequency (%)
955
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3990
58.7%
Common 2809
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 331
 
8.3%
포 331
 
8.3%
도 313
 
7.8%
동 306
 
7.7%
경 305
 
7.6%
기 305
 
7.6%
시 305
 
7.6%
로 304
 
7.6%
산 248
 
6.2%
번 202
 
5.1%
Other values (46) 1040
26.1%
Common
ValueCountFrequency (%)
955
34.0%
) 299
 
10.6%
( 299
 
10.6%
1 251
 
8.9%
2 183
 
6.5%
3 147
 
5.2%
4 117
 
4.2%
5 113
 
4.0%
6 89
 
3.2%
7 82
 
2.9%
Other values (5) 274
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3990
58.7%
ASCII 2809
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
955
34.0%
) 299
 
10.6%
( 299
 
10.6%
1 251
 
8.9%
2 183
 
6.5%
3 147
 
5.2%
4 117
 
4.2%
5 113
 
4.0%
6 89
 
3.2%
7 82
 
2.9%
Other values (5) 274
 
9.8%
Hangul
ValueCountFrequency (%)
군 331
 
8.3%
포 331
 
8.3%
도 313
 
7.8%
동 306
 
7.7%
경 305
 
7.6%
기 305
 
7.6%
시 305
 
7.6%
로 304
 
7.6%
산 248
 
6.2%
번 202
 
5.1%
Other values (46) 1040
26.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2022-09-29 00:00:00
Maximum2022-09-29 00:00:00
2023-12-13T00:02:51.760600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:51.848389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T00:02:49.423175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:02:49.563444image/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

시도명시군구명종교구분시설명소재지(도로명)데이터기준일자
0경기도군포시불교법해사경기도 군포시 산본로 240(당동)2022-09-29
1경기도군포시불교만수사경기도 군포시 용호1로21번길 22(당동)2022-09-29
2경기도군포시불교천지사경기도 군포시 군포로683번길 14(금정동)2022-09-29
3경기도군포시불교용진사경기도 군포시 수리산로 81-94(산본동)2022-09-29
4경기도군포시불교성불사경기도 군포시 수리산로 81-82(산본동)2022-09-29
5경기도군포시불교상연사경기도 군포시 수리산로 81-6(산본동)2022-09-29
6경기도군포시불교정각사경기도 군포시 산본로323번길 20-21(산본동)2022-09-29
7경기도군포시불교불광사경기도 군포시 산본로323번길 16-29(산본동)2022-09-29
8경기도군포시불교수리사경기도 군포시 속달로 347-181(속달동)2022-09-29
9경기도군포시불교상락사경기도 군포시 산본로323번길 24(산본동)2022-09-29
시도명시군구명종교구분시설명소재지(도로명)데이터기준일자
295경기도군포시기독교시온성교회경기도 군포시 금재로12번길 14(금정동)2022-09-29
296경기도군포시기독교하늘소망교회경기도 군포시 번영로561번안길 15-1(금정동)2022-09-29
297경기도군포시기독교중문교회경기도 군포시 번영로 498(금정동)2022-09-29
298경기도군포시기독교뉴비전교회경기도 군포시 번영로557번길 36(금정동)2022-09-29
299경기도군포시기독교축복의교회경기도 군포시 번영로 492(금정동)2022-09-29
300경기도군포시기독교그사랑교회경기도 군포시 번영로 492(금정동)2022-09-29
301경기도군포시기독교주앙교회경기도 군포시 번영로 494(금정동)2022-09-29
302경기도군포시기독교신광음교회경기도 군포시 번영로514(금정동)2022-09-29
303경기도군포시기독교산본교회(중앙회)경기도 군포시 번영로550번길 3(금정동)2022-09-29
304경기도군포시기독교사랑의교회경기도 군포시 번영로587번안길 13(금정동)2022-09-29

Duplicate rows

Most frequently occurring

시도명시군구명종교구분시설명소재지(도로명)데이터기준일자# duplicates
0경기도군포시기독교은혜와진리교회경기도 군포시 산본로323번길 10-18(산본동)2022-09-292