Overview

Dataset statistics

Number of variables4
Number of observations272
Missing cells81
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory32.5 B

Variable types

Text3
Categorical1

Dataset

Description서울특별시 강남구에 소재한 교회 현황입니다. 자세한 사항은 서울특별시 강남구 문화도시과(02-3423-5935 )로 연락주시면 자세히 안내 드리도록 하겠습니다.
Author서울특별시 강남구
URLhttps://www.data.go.kr/data/15112109/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 81 (29.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:25:29.451899
Analysis finished2023-12-12 10:25:29.813173
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교회명
Text

Distinct256
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T19:25:29.978144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.7794118
Min length3

Characters and Unicode

Total characters1572
Distinct characters239
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)89.3%

Sample

1st row영광교회
2nd row순복음 반석교회
3rd row은진교회
4th row안디옥선교교회
5th row승광교회
ValueCountFrequency (%)
교회 9
 
3.0%
강남교회 4
 
1.3%
영동교회 3
 
1.0%
임마누엘교회 3
 
1.0%
영동제일교회 3
 
1.0%
은혜교회 2
 
0.7%
성지교회 2
 
0.7%
반석교회 2
 
0.7%
우리들교회 2
 
0.7%
순전한교회 2
 
0.7%
Other values (260) 265
89.2%
2023-12-12T19:25:30.321523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 278
 
17.7%
회 275
 
17.5%
남 31
 
2.0%
서 30
 
1.9%
강 30
 
1.9%
울 25
 
1.6%
25
 
1.6%
동 24
 
1.5%
성 23
 
1.5%
은 20
 
1.3%
Other values (229) 811
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1533
97.5%
Space Separator 25
 
1.6%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 278
 
18.1%
회 275
 
17.9%
남 31
 
2.0%
서 30
 
2.0%
강 30
 
2.0%
울 25
 
1.6%
동 24
 
1.6%
성 23
 
1.5%
은 20
 
1.3%
사 17
 
1.1%
Other values (224) 780
50.9%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1533
97.5%
Common 39
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 278
 
18.1%
회 275
 
17.9%
남 31
 
2.0%
서 30
 
2.0%
강 30
 
2.0%
울 25
 
1.6%
동 24
 
1.6%
성 23
 
1.5%
은 20
 
1.3%
사 17
 
1.1%
Other values (224) 780
50.9%
Common
ValueCountFrequency (%)
25
64.1%
( 5
 
12.8%
) 5
 
12.8%
. 3
 
7.7%
→ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1533
97.5%
ASCII 38
 
2.4%
Arrows 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 278
 
18.1%
회 275
 
17.9%
남 31
 
2.0%
서 30
 
2.0%
강 30
 
2.0%
울 25
 
1.6%
동 24
 
1.6%
성 23
 
1.5%
은 20
 
1.3%
사 17
 
1.1%
Other values (224) 780
50.9%
ASCII
ValueCountFrequency (%)
25
65.8%
( 5
 
13.2%
) 5
 
13.2%
. 3
 
7.9%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

주소
Text

Distinct271
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T19:25:30.657374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length18.599265
Min length12

Characters and Unicode

Total characters5059
Distinct characters115
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)99.3%

Sample

1st row서울특별시 양재대로 478, 구룡마을 1-24-6
2nd row서울특별시 양재대로 478, 구룡마을 3-2-51
3rd row서울특별시 양재대로 478, 구룡마을 4-23-1
4th row서울특별시 양재대로 478, 구룡마을 4-44-1
5th row서울특별시 양재대로 478, 구룡마을 5-5-17
ValueCountFrequency (%)
서울특별시 272
25.1%
지하1층 43
 
4.0%
개포로 24
 
2.2%
3층 21
 
1.9%
2층 16
 
1.5%
광평로 14
 
1.3%
삼성로 14
 
1.3%
논현로 13
 
1.2%
양재대로 12
 
1.1%
8 10
 
0.9%
Other values (360) 643
59.4%
2023-12-12T19:25:31.131212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
813
16.1%
서 274
 
5.4%
로 274
 
5.4%
시 273
 
5.4%
울 272
 
5.4%
별 272
 
5.4%
특 272
 
5.4%
1 268
 
5.3%
길 193
 
3.8%
2 173
 
3.4%
Other values (105) 1975
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2816
55.7%
Decimal Number 1239
24.5%
Space Separator 813
 
16.1%
Other Punctuation 147
 
2.9%
Dash Punctuation 34
 
0.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 274
 
9.7%
로 274
 
9.7%
시 273
 
9.7%
울 272
 
9.7%
별 272
 
9.7%
특 272
 
9.7%
길 193
 
6.9%
층 119
 
4.2%
지 61
 
2.2%
하 55
 
2.0%
Other values (87) 751
26.7%
Decimal Number
ValueCountFrequency (%)
1 268
21.6%
2 173
14.0%
3 139
11.2%
4 134
10.8%
5 119
9.6%
0 94
 
7.6%
8 90
 
7.3%
6 85
 
6.9%
7 81
 
6.5%
9 56
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 143
97.3%
. 4
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
813
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2816
55.7%
Common 2241
44.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 274
 
9.7%
로 274
 
9.7%
시 273
 
9.7%
울 272
 
9.7%
별 272
 
9.7%
특 272
 
9.7%
길 193
 
6.9%
층 119
 
4.2%
지 61
 
2.2%
하 55
 
2.0%
Other values (87) 751
26.7%
Common
ValueCountFrequency (%)
813
36.3%
1 268
 
12.0%
2 173
 
7.7%
, 143
 
6.4%
3 139
 
6.2%
4 134
 
6.0%
5 119
 
5.3%
0 94
 
4.2%
8 90
 
4.0%
6 85
 
3.8%
Other values (6) 183
 
8.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2816
55.7%
ASCII 2243
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
813
36.2%
1 268
 
11.9%
2 173
 
7.7%
, 143
 
6.4%
3 139
 
6.2%
4 134
 
6.0%
5 119
 
5.3%
0 94
 
4.2%
8 90
 
4.0%
6 85
 
3.8%
Other values (8) 185
 
8.2%
Hangul
ValueCountFrequency (%)
서 274
 
9.7%
로 274
 
9.7%
시 273
 
9.7%
울 272
 
9.7%
별 272
 
9.7%
특 272
 
9.7%
길 193
 
6.9%
층 119
 
4.2%
지 61
 
2.2%
하 55
 
2.0%
Other values (87) 751
26.7%

전화번호
Text

MISSING 

Distinct190
Distinct (%)99.5%
Missing81
Missing (%)29.8%
Memory size2.3 KiB
2023-12-12T19:25:31.436542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.3926702
Min length8

Characters and Unicode

Total characters1603
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

Unique189 ?
Unique (%)99.0%

Sample

1st row2226-6373
2nd row6465-9191
3rd row3411-1236
4th row553-1544
5th row3411-3355
ValueCountFrequency (%)
3411-7789 2
 
1.0%
512-9191 1
 
0.5%
568-2781 1
 
0.5%
3469-4600 1
 
0.5%
542-0149 1
 
0.5%
540-5444 1
 
0.5%
2056-5600 1
 
0.5%
3445-7417 1
 
0.5%
515-1966 1
 
0.5%
540-4400 1
 
0.5%
Other values (180) 180
94.2%
2023-12-12T19:25:31.920765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 253
15.8%
- 197
12.3%
1 191
11.9%
4 174
10.9%
0 135
8.4%
2 125
7.8%
6 124
7.7%
7 112
7.0%
3 107
6.7%
9 94
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1406
87.7%
Dash Punctuation 197
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 253
18.0%
1 191
13.6%
4 174
12.4%
0 135
9.6%
2 125
8.9%
6 124
8.8%
7 112
8.0%
3 107
7.6%
9 94
 
6.7%
8 91
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 253
15.8%
- 197
12.3%
1 191
11.9%
4 174
10.9%
0 135
8.4%
2 125
7.8%
6 124
7.7%
7 112
7.0%
3 107
6.7%
9 94
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 253
15.8%
- 197
12.3%
1 191
11.9%
4 174
10.9%
0 135
8.4%
2 125
7.8%
6 124
7.7%
7 112
7.0%
3 107
6.7%
9 94
 
5.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-02-02
272 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-02
2nd row2023-02-02
3rd row2023-02-02
4th row2023-02-02
5th row2023-02-02

Common Values

ValueCountFrequency (%)
2023-02-02 272
100.0%

Length

2023-12-12T19:25:32.089003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:25:32.570953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-02 272
100.0%

Missing values

2023-12-12T19:25:29.696619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:25:29.778533image/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

교회명주소전화번호데이터기준일
0영광교회서울특별시 양재대로 478, 구룡마을 1-24-6<NA>2023-02-02
1순복음 반석교회서울특별시 양재대로 478, 구룡마을 3-2-51<NA>2023-02-02
2은진교회서울특별시 양재대로 478, 구룡마을 4-23-1<NA>2023-02-02
3안디옥선교교회서울특별시 양재대로 478, 구룡마을 4-44-1<NA>2023-02-02
4승광교회서울특별시 양재대로 478, 구룡마을 5-5-17<NA>2023-02-02
5시온성교회서울특별시 양재대로 478, 구룡마을 6-22-1<NA>2023-02-02
6개포소망교회서울특별시 양재대로 478, 구룡마을 7-50-1<NA>2023-02-02
7남산교회서울특별시 개포로 512<NA>2023-02-02
8은혜교회서울특별시 개포로 512, 6층2226-63732023-02-02
9열매맺는교회서울특별시 개포로506, 601호<NA>2023-02-02
교회명주소전화번호데이터기준일
262청담교회서울특별시 삼성로148길 4542-14832023-02-02
263새벽별교회서울특별시 삼성로149길 26546-17252023-02-02
264푸른나무교회서울특별시 선릉로 806, 3층516-19932023-02-02
265하이기쁨교회서울특별시 선릉로 806, 지하1층598-33162023-02-02
266영동제일교회서울특별시 선릉로132길 61542-51532023-02-02
267더함교회서울특별시 압구정로 404, 202호070-8160-76172023-02-02
268하림교회서울특별시 학동로77길 49, 지하1층456-39272023-02-02
269굿뉴스교회서울특별시 (임시장소)청담동 91-9<NA>2023-02-02
270큰사랑교회서울특별시 도산대로 447, 4층<NA>2023-02-02
271동인교회서울특별시 학동로101길 26, 삼익상가 301호543-05582023-02-02