Overview

Dataset statistics

Number of variables5
Number of observations208
Missing cells97
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 중구 소재인 종교시설에 대한 정보입니다. 파일명 인천광역시 중구_종교시설 내용 단체명, 주소, 연락처 등
URLhttps://www.data.go.kr/data/15074934/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 97 (46.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:32:10.379110
Analysis finished2023-12-12 14:32:10.928735
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.5
Minimum1
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T23:32:11.017673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.35
Q152.75
median104.5
Q3156.25
95-th percentile197.65
Maximum208
Range207
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation60.188592
Coefficient of variation (CV)0.57596739
Kurtosis-1.2
Mean104.5
Median Absolute Deviation (MAD)52
Skewness0
Sum21736
Variance3622.6667
MonotonicityStrictly increasing
2023-12-12T23:32:11.172736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
106 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
Other values (198) 198
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%

단체명
Text

Distinct205
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T23:32:11.422313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.3125
Min length3

Characters and Unicode

Total characters1313
Distinct characters207
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

Unique202 ?
Unique (%)97.1%

Sample

1st row예광순복음교회
2nd row신광교회(신천교회)
3rd row인천제2교회
4th row드림교회
5th row사랑교회
ValueCountFrequency (%)
교회 10
 
4.3%
벧엘교회 2
 
0.9%
사랑교회 2
 
0.9%
인천국제공항교회 2
 
0.9%
장로교회 2
 
0.9%
인천교회 2
 
0.9%
기독교대한성결교회 2
 
0.9%
영종하늘교회 1
 
0.4%
세신교회 1
 
0.4%
푸른초장교회 1
 
0.4%
Other values (208) 208
89.3%
2023-12-12T23:32:11.818558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 197
 
15.0%
회 189
 
14.4%
천 28
 
2.1%
인 27
 
2.1%
리 27
 
2.1%
25
 
1.9%
사 25
 
1.9%
영 25
 
1.9%
로 24
 
1.8%
성 23
 
1.8%
Other values (197) 723
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
96.0%
Space Separator 25
 
1.9%
Close Punctuation 13
 
1.0%
Open Punctuation 13
 
1.0%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 197
 
15.6%
회 189
 
15.0%
천 28
 
2.2%
인 27
 
2.1%
리 27
 
2.1%
사 25
 
2.0%
영 25
 
2.0%
로 24
 
1.9%
성 23
 
1.8%
하 22
 
1.7%
Other values (192) 673
53.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
96.0%
Common 53
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 197
 
15.6%
회 189
 
15.0%
천 28
 
2.2%
인 27
 
2.1%
리 27
 
2.1%
사 25
 
2.0%
영 25
 
2.0%
로 24
 
1.9%
성 23
 
1.8%
하 22
 
1.7%
Other values (192) 673
53.4%
Common
ValueCountFrequency (%)
25
47.2%
) 13
24.5%
( 13
24.5%
2 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
96.0%
ASCII 53
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 197
 
15.6%
회 189
 
15.0%
천 28
 
2.2%
인 27
 
2.1%
리 27
 
2.1%
사 25
 
2.0%
영 25
 
2.0%
로 24
 
1.9%
성 23
 
1.8%
하 22
 
1.7%
Other values (192) 673
53.4%
ASCII
ValueCountFrequency (%)
25
47.2%
) 13
24.5%
( 13
24.5%
2 1
 
1.9%
1 1
 
1.9%

주소
Text

Distinct205
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T23:32:12.174072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length20.581731
Min length14

Characters and Unicode

Total characters4281
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)97.6%

Sample

1st row인천광역시 중구 서해대로464번길 5-1
2nd row인천광역시 중구 인중로63번길 13
3rd row인천광역시 중구 인중로26번길 41
4th row인천광역시 중구 서해대로468-1, 2층
5th row인천광역시 중구 우현로62번길 30
ValueCountFrequency (%)
중구 208
23.6%
인천광역시 207
23.5%
2층 11
 
1.2%
3층 9
 
1.0%
운중로 8
 
0.9%
7 7
 
0.8%
흰바위로 6
 
0.7%
참외전로244번길 5
 
0.6%
자연대로 5
 
0.6%
제물량로 5
 
0.6%
Other values (324) 410
46.5%
2023-12-12T23:32:12.662993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
16.4%
중 236
 
5.5%
시 219
 
5.1%
인 215
 
5.0%
구 209
 
4.9%
천 208
 
4.9%
광 207
 
4.8%
역 207
 
4.8%
로 190
 
4.4%
1 160
 
3.7%
Other values (142) 1729
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
60.4%
Decimal Number 873
 
20.4%
Space Separator 701
 
16.4%
Dash Punctuation 63
 
1.5%
Other Punctuation 43
 
1.0%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 236
 
9.1%
시 219
 
8.5%
인 215
 
8.3%
구 209
 
8.1%
천 208
 
8.0%
광 207
 
8.0%
역 207
 
8.0%
로 190
 
7.4%
길 119
 
4.6%
번 114
 
4.4%
Other values (121) 661
25.6%
Decimal Number
ValueCountFrequency (%)
1 160
18.3%
2 139
15.9%
4 125
14.3%
3 89
10.2%
5 70
8.0%
7 68
7.8%
0 65
7.4%
6 62
 
7.1%
9 48
 
5.5%
8 47
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
L 1
20.0%
H 1
20.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 42
97.7%
. 1
 
2.3%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2585
60.4%
Common 1690
39.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 236
 
9.1%
시 219
 
8.5%
인 215
 
8.3%
구 209
 
8.1%
천 208
 
8.0%
광 207
 
8.0%
역 207
 
8.0%
로 190
 
7.4%
길 119
 
4.6%
번 114
 
4.4%
Other values (121) 661
25.6%
Common
ValueCountFrequency (%)
701
41.5%
1 160
 
9.5%
2 139
 
8.2%
4 125
 
7.4%
3 89
 
5.3%
5 70
 
4.1%
7 68
 
4.0%
0 65
 
3.8%
- 63
 
3.7%
6 62
 
3.7%
Other values (6) 148
 
8.8%
Latin
ValueCountFrequency (%)
A 2
33.3%
b 1
16.7%
L 1
16.7%
H 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2585
60.4%
ASCII 1696
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
41.3%
1 160
 
9.4%
2 139
 
8.2%
4 125
 
7.4%
3 89
 
5.2%
5 70
 
4.1%
7 68
 
4.0%
0 65
 
3.8%
- 63
 
3.7%
6 62
 
3.7%
Other values (11) 154
 
9.1%
Hangul
ValueCountFrequency (%)
중 236
 
9.1%
시 219
 
8.5%
인 215
 
8.3%
구 209
 
8.1%
천 208
 
8.0%
광 207
 
8.0%
역 207
 
8.0%
로 190
 
7.4%
길 119
 
4.6%
번 114
 
4.4%
Other values (121) 661
25.6%

연락처
Text

MISSING 

Distinct111
Distinct (%)100.0%
Missing97
Missing (%)46.6%
Memory size1.8 KiB
2023-12-12T23:32:12.924566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.099099
Min length11

Characters and Unicode

Total characters1343
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row032-880-5100
2nd row032-763-0661~3
3rd row032-763-2802
4th row032-763-0691
5th row032-764-1388
ValueCountFrequency (%)
032-880-5100 1
 
0.9%
032-284-8322 1
 
0.9%
032-746-3347 1
 
0.9%
032-746-3722 1
 
0.9%
032-751-3731 1
 
0.9%
032-501-3712 1
 
0.9%
032-746-6985 1
 
0.9%
032-746-3491 1
 
0.9%
032-747-1964 1
 
0.9%
032-752-3217 1
 
0.9%
Other values (101) 101
91.0%
2023-12-12T23:32:13.356913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 221
16.5%
0 181
13.5%
2 171
12.7%
3 164
12.2%
7 130
9.7%
1 99
7.4%
6 91
6.8%
4 83
 
6.2%
8 73
 
5.4%
5 68
 
5.1%
Other values (5) 62
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1117
83.2%
Dash Punctuation 221
 
16.5%
Math Symbol 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
16.2%
2 171
15.3%
3 164
14.7%
7 130
11.6%
1 99
8.9%
6 91
8.1%
4 83
7.4%
8 73
6.5%
5 68
 
6.1%
9 57
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 221
16.5%
0 181
13.5%
2 171
12.7%
3 164
12.2%
7 130
9.7%
1 99
7.4%
6 91
6.8%
4 83
 
6.2%
8 73
 
5.4%
5 68
 
5.1%
Other values (5) 62
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 221
16.5%
0 181
13.5%
2 171
12.7%
3 164
12.2%
7 130
9.7%
1 99
7.4%
6 91
6.8%
4 83
 
6.2%
8 73
 
5.4%
5 68
 
5.1%
Other values (5) 62
 
4.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-03
208 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 208
100.0%

Length

2023-12-12T23:32:13.486020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:13.916501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 208
100.0%

Interactions

2023-12-12T23:32:10.643108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T23:32:10.753118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:32:10.880537image/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

연번단체명주소연락처데이터기준일자
01예광순복음교회인천광역시 중구 서해대로464번길 5-1<NA>2023-08-03
12신광교회(신천교회)인천광역시 중구 인중로63번길 13<NA>2023-08-03
23인천제2교회인천광역시 중구 인중로26번길 41032-880-51002023-08-03
34드림교회인천광역시 중구 서해대로468-1, 2층<NA>2023-08-03
45사랑교회인천광역시 중구 우현로62번길 30<NA>2023-08-03
56인천제일교회인천광역시 중구 신포로39번길 54032-763-0661~32023-08-03
67인천중부교회인천광역시 중구 신포로 4032-763-28022023-08-03
78신포소망교회인천광역시 중구 제물량로 173032-763-06912023-08-03
89관동교회인천광역시 중구 신포로27번길 98032-764-13882023-08-03
910임마누엘의집교회인천광역시 중구 홍예문로68번길 4-5<NA>2023-08-03
연번단체명주소연락처데이터기준일자
198199예빛어린이교회인천광역시 중구 하늘달빛로64번길 6-3(스카이메디컬프라자) 602호<NA>2023-08-03
199200사랑의빛교회인천광역시 중구 은하수로 12, 901호(구읍뱃터프라자)<NA>2023-08-03
200201성진교회인천광역시 중구 중산로39-25<NA>2023-08-03
201202헤브론교회인천광역시 중구 운북동62-14<NA>2023-08-03
202203운서순복음교회인천광역시 중구 영종대로162번길 37, 325호<NA>2023-08-03
203204세계전원교회인천광역시 중구 백운로527번길 45(주소 정정)<NA>2023-08-03
204205인천국제공항교회인천광역시 중구 공항로424번길 47, 지하1층<NA>2023-08-03
205206영종호산나교회인천광역시 중구 영종순환로 646<NA>2023-08-03
206207수로 세계로 교회인천광역시 중구 영종순환로 169번길 66<NA>2023-08-03
207208미주사인천광역시 중구 신흥동1가 1-11, 2층 심산산방032-889-26402023-08-03