Overview

Dataset statistics

Number of variables6
Number of observations262
Missing cells94
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory50.5 B

Variable types

Categorical1
Text2
Numeric2
DateTime1

Dataset

Description경기도 광주시 관내 종교시설 현황에 대한 데이터로 종교구분, 종교시설명, 지번주소, 경도, 위도, 데이터기준일자 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15042232/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
경도 has 47 (17.9%) missing valuesMissing
위도 has 47 (17.9%) missing valuesMissing
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:58:20.454801
Analysis finished2023-12-12 21:58:21.287768
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종교구분코드
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
교회
193 
절
44 
수도원
 
13
성당
 
9
기타종교시설
 
3

Length

Max length6
Median length2
Mean length1.9274809
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교회
2nd row교회
3rd row교회
4th row수도원
5th row교회

Common Values

ValueCountFrequency (%)
교회 193
73.7%
절 44
 
16.8%
수도원 13
 
5.0%
성당 9
 
3.4%
기타종교시설 3
 
1.1%

Length

2023-12-13T06:58:21.350585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:58:21.469894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교회 193
73.7%
절 44
 
16.8%
수도원 13
 
5.0%
성당 9
 
3.4%
기타종교시설 3
 
1.1%

종교시설명
Text

Distinct256
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T06:58:21.691624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.7557252
Min length3

Characters and Unicode

Total characters1246
Distinct characters209
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)95.4%

Sample

1st row선일교회
2nd row유정교회
3rd row곤지암순복음교회
4th row장심리수양관
5th row노곡교회
ValueCountFrequency (%)
불국사 2
 
0.8%
광주사랑의교회 2
 
0.8%
매산교회 2
 
0.8%
광주성결교회 2
 
0.8%
광민교회 2
 
0.8%
백련암 2
 
0.8%
광주중앙교회 1
 
0.4%
소쌍평화교회 1
 
0.4%
광주감리교회 1
 
0.4%
광주장로교회 1
 
0.4%
Other values (246) 246
93.9%
2023-12-13T06:58:22.140795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 197
 
15.8%
교 196
 
15.7%
사 40
 
3.2%
광 40
 
3.2%
성 38
 
3.0%
주 25
 
2.0%
원 23
 
1.8%
리 18
 
1.4%
도 16
 
1.3%
암 12
 
1.0%
Other values (199) 641
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1246
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 197
 
15.8%
교 196
 
15.7%
사 40
 
3.2%
광 40
 
3.2%
성 38
 
3.0%
주 25
 
2.0%
원 23
 
1.8%
리 18
 
1.4%
도 16
 
1.3%
암 12
 
1.0%
Other values (199) 641
51.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1246
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 197
 
15.8%
교 196
 
15.7%
사 40
 
3.2%
광 40
 
3.2%
성 38
 
3.0%
주 25
 
2.0%
원 23
 
1.8%
리 18
 
1.4%
도 16
 
1.3%
암 12
 
1.0%
Other values (199) 641
51.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1246
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 197
 
15.8%
교 196
 
15.7%
사 40
 
3.2%
광 40
 
3.2%
성 38
 
3.0%
주 25
 
2.0%
원 23
 
1.8%
리 18
 
1.4%
도 16
 
1.3%
암 12
 
1.0%
Other values (199) 641
51.4%

지번주소
Text

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T06:58:22.596136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length20.122137
Min length15

Characters and Unicode

Total characters5272
Distinct characters109
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

Unique262 ?
Unique (%)100.0%

Sample

1st row경기도 광주시 오포읍 신현리400-5번지
2nd row경기도 광주시 도척면 유정리366번지
3rd row경기도 광주시 초월읍 산이리7-6번지
4th row경기도 광주시 곤지암읍 장심리산14-2번지
5th row경기도 광주시 도척면 노곡리229번지
ValueCountFrequency (%)
경기도 262
26.0%
광주시 262
26.0%
오포읍 55
 
5.5%
초월읍 37
 
3.7%
곤지암읍 32
 
3.2%
도척면 17
 
1.7%
퇴촌면 16
 
1.6%
남한산성면 9
 
0.9%
남종면 8
 
0.8%
양벌리 5
 
0.5%
Other values (290) 303
30.1%
2023-12-13T06:58:23.175277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
 
14.1%
도 289
 
5.5%
경 275
 
5.2%
광 267
 
5.1%
지 266
 
5.0%
주 262
 
5.0%
시 262
 
5.0%
기 262
 
5.0%
번 218
 
4.1%
- 198
 
3.8%
Other values (99) 2229
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3370
63.9%
Decimal Number 960
 
18.2%
Space Separator 744
 
14.1%
Dash Punctuation 198
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 289
 
8.6%
경 275
 
8.2%
광 267
 
7.9%
지 266
 
7.9%
주 262
 
7.8%
시 262
 
7.8%
기 262
 
7.8%
번 218
 
6.5%
리 175
 
5.2%
읍 124
 
3.7%
Other values (87) 970
28.8%
Decimal Number
ValueCountFrequency (%)
1 192
20.0%
2 128
13.3%
3 118
12.3%
4 95
9.9%
5 95
9.9%
6 89
9.3%
7 71
 
7.4%
0 61
 
6.4%
8 58
 
6.0%
9 53
 
5.5%
Space Separator
ValueCountFrequency (%)
744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3370
63.9%
Common 1902
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 289
 
8.6%
경 275
 
8.2%
광 267
 
7.9%
지 266
 
7.9%
주 262
 
7.8%
시 262
 
7.8%
기 262
 
7.8%
번 218
 
6.5%
리 175
 
5.2%
읍 124
 
3.7%
Other values (87) 970
28.8%
Common
ValueCountFrequency (%)
744
39.1%
- 198
 
10.4%
1 192
 
10.1%
2 128
 
6.7%
3 118
 
6.2%
4 95
 
5.0%
5 95
 
5.0%
6 89
 
4.7%
7 71
 
3.7%
0 61
 
3.2%
Other values (2) 111
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3370
63.9%
ASCII 1902
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
39.1%
- 198
 
10.4%
1 192
 
10.1%
2 128
 
6.7%
3 118
 
6.2%
4 95
 
5.0%
5 95
 
5.0%
6 89
 
4.7%
7 71
 
3.7%
0 61
 
3.2%
Other values (2) 111
 
5.8%
Hangul
ValueCountFrequency (%)
도 289
 
8.6%
경 275
 
8.2%
광 267
 
7.9%
지 266
 
7.9%
주 262
 
7.8%
시 262
 
7.8%
기 262
 
7.8%
번 218
 
6.5%
리 175
 
5.2%
읍 124
 
3.7%
Other values (87) 970
28.8%

경도
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)100.0%
Missing47
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean127.27528
Minimum127.14429
Maximum127.41428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T06:58:23.358199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14429
5-th percentile127.17854
Q1127.24365
median127.26195
Q3127.31597
95-th percentile127.37294
Maximum127.41428
Range0.2699865
Interquartile range (IQR)0.072322

Descriptive statistics

Standard deviation0.055902573
Coefficient of variation (CV)0.00043922568
Kurtosis-0.073687056
Mean127.27528
Median Absolute Deviation (MAD)0.034593
Skewness0.19548788
Sum27364.186
Variance0.0031250977
MonotonicityNot monotonic
2023-12-13T06:58:23.888941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2323179 1
 
0.4%
127.2554657 1
 
0.4%
127.4054295 1
 
0.4%
127.2457012 1
 
0.4%
127.3030947 1
 
0.4%
127.3249692 1
 
0.4%
127.2368937 1
 
0.4%
127.3985485 1
 
0.4%
127.3423569 1
 
0.4%
127.4013751 1
 
0.4%
Other values (205) 205
78.2%
(Missing) 47
 
17.9%
ValueCountFrequency (%)
127.144292 1
0.4%
127.1522282 1
0.4%
127.1555455 1
0.4%
127.1561507 1
0.4%
127.1620901 1
0.4%
127.1621628 1
0.4%
127.1637448 1
0.4%
127.1714318 1
0.4%
127.1726576 1
0.4%
127.1770009 1
0.4%
ValueCountFrequency (%)
127.4142785 1
0.4%
127.40582 1
0.4%
127.4054295 1
0.4%
127.4050945 1
0.4%
127.4043147 1
0.4%
127.4038689 1
0.4%
127.4013751 1
0.4%
127.3985485 1
0.4%
127.389884 1
0.4%
127.3879065 1
0.4%

위도
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)100.0%
Missing47
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean37.393986
Minimum37.273989
Maximum37.5311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T06:58:24.063505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.273989
5-th percentile37.315333
Q137.361383
median37.393849
Q337.418008
95-th percentile37.474686
Maximum37.5311
Range0.25711185
Interquartile range (IQR)0.0566245

Descriptive statistics

Standard deviation0.046931077
Coefficient of variation (CV)0.0012550435
Kurtosis0.37240167
Mean37.393986
Median Absolute Deviation (MAD)0.02803962
Skewness0.046123541
Sum8039.707
Variance0.002202526
MonotonicityNot monotonic
2023-12-13T06:58:24.234351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.39372716 1
 
0.4%
37.42135621 1
 
0.4%
37.3560158 1
 
0.4%
37.3950272 1
 
0.4%
37.34002041 1
 
0.4%
37.45868193 1
 
0.4%
37.39549174 1
 
0.4%
37.40124326 1
 
0.4%
37.45335335 1
 
0.4%
37.3549005 1
 
0.4%
Other values (205) 205
78.2%
(Missing) 47
 
17.9%
ValueCountFrequency (%)
37.27398862 1
0.4%
37.27627551 1
0.4%
37.27871026 1
0.4%
37.28118934 1
0.4%
37.28146876 1
0.4%
37.28872063 1
0.4%
37.290107 1
0.4%
37.2951582 1
0.4%
37.30086567 1
0.4%
37.30178827 1
0.4%
ValueCountFrequency (%)
37.53110047 1
0.4%
37.50690489 1
0.4%
37.50561405 1
0.4%
37.50560079 1
0.4%
37.50334099 1
0.4%
37.49231189 1
0.4%
37.48402275 1
0.4%
37.48266841 1
0.4%
37.48246729 1
0.4%
37.4782921 1
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2022-09-13 00:00:00
Maximum2022-09-13 00:00:00
2023-12-13T06:58:24.365411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:24.456450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:58:20.870963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:20.684626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:20.957278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:20.774412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:58:24.566312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종교구분코드경도위도
종교구분코드1.0000.3130.171
경도0.3131.0000.652
위도0.1710.6521.000
2023-12-13T06:58:24.689051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도종교구분코드
경도1.000-0.0850.133
위도-0.0851.0000.070
종교구분코드0.1330.0701.000

Missing values

2023-12-13T06:58:21.063515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:58:21.163041image/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.
2023-12-13T06:58:21.246786image/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

종교구분코드종교시설명지번주소경도위도데이터기준일자
0교회선일교회경기도 광주시 오포읍 신현리400-5번지127.16216337.3688922022-09-13
1교회유정교회경기도 광주시 도척면 유정리366번지127.32150137.2887212022-09-13
2교회곤지암순복음교회경기도 광주시 초월읍 산이리7-6번지127.31554437.36192022-09-13
3수도원장심리수양관경기도 광주시 곤지암읍 장심리산14-2번지127.38988437.3907492022-09-13
4교회노곡교회경기도 광주시 도척면 노곡리229번지127.33170837.3017882022-09-13
5교회고산교회경기도 광주시 오포읍 고산리5-53번지127.24375137.3788982022-09-13
6교회오향교회경기도 광주시 곤지암읍 오향리396-1번지127.37677237.3605352022-09-13
7성당도척성당경기도 광주시 도척면 노곡리283-4번지127.33106637.3008662022-09-13
8교회신현교회경기도 광주시 오포읍 신현리676-1번지127.15615137.3607652022-09-13
9교회열미전원교회경기도 광주시 곤지암읍 열미리251-1번지127.37013237.3586692022-09-13
종교구분코드종교시설명지번주소경도위도데이터기준일자
252교회광명교회경기도 광주시 오포읍 추자리 268<NA><NA>2022-09-13
253교회하늘빛교회경기도 광주시 퇴촌면 관음리 669-1<NA><NA>2022-09-13
254교회아름다운교회경기도 광주시 오포읍 문형리 133<NA><NA>2022-09-13
255교회광주사랑의교회경기도 광주시 송정동 55-2<NA><NA>2022-09-13
256교회광주동산교회경기도 광주시 초월읍 대쌍령리 404-13<NA><NA>2022-09-13
257교회순복음엘림교회경기도 광주시 중대동 260-3<NA><NA>2022-09-13
258교회하이사랑교회경기도 광주시 역동 58-5<NA><NA>2022-09-13
259교회광주가정교회경기도 광주시 경안동 72-22<NA><NA>2022-09-13
260교회늘빛장로교회경기도 광주시 오포읍 신현리 113-1<NA><NA>2022-09-13
261교회세중교회경기도 광주시 초월읍 신월리 432-6<NA><NA>2022-09-13