Overview

Dataset statistics

Number of variables5
Number of observations286
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description경상남도 밀양시 종교 시설 현황에 대한 자료로 종교 구분, 시설명, 소재지, 데이터기준날짜 등의 정보를 제공하고 있습니다
URLhttps://www.data.go.kr/data/15117903/fileData.do

Alerts

데이터기준날짜 has constant value ""Constant
순번 is highly overall correlated with 종교구분High correlation
종교구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:06:21.136902
Analysis finished2023-12-12 22:06:21.630489
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.5
Minimum1
Maximum286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T07:06:21.711231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.25
Q172.25
median143.5
Q3214.75
95-th percentile271.75
Maximum286
Range285
Interquartile range (IQR)142.5

Descriptive statistics

Standard deviation82.7053
Coefficient of variation (CV)0.57634355
Kurtosis-1.2
Mean143.5
Median Absolute Deviation (MAD)71.5
Skewness0
Sum41041
Variance6840.1667
MonotonicityStrictly increasing
2023-12-13T07:06:21.841904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
190 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
189 1
 
0.3%
198 1
 
0.3%
Other values (276) 276
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%
278 1
0.3%
277 1
0.3%

종교구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
불교
149 
기독교
122 
천주교
 
12
원불교
 
3

Length

Max length3
Median length2
Mean length2.479021
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불교 149
52.1%
기독교 122
42.7%
천주교 12
 
4.2%
원불교 3
 
1.0%

Length

2023-12-13T07:06:21.985106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:06:22.095925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불교 149
52.1%
기독교 122
42.7%
천주교 12
 
4.2%
원불교 3
 
1.0%

시설명
Text

Distinct281
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T07:06:22.348452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.3391608
Min length3

Characters and Unicode

Total characters1527
Distinct characters204
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

Unique277 ?
Unique (%)96.9%

Sample

1st row삼랑진교회
2nd row숭진장로교회
3rd row미전장로교회
4th row삼랑진 중앙교회
5th row기독교대한성결교회삼랑진제일교회
ValueCountFrequency (%)
밀양교회 3
 
1.0%
원불교 3
 
1.0%
대한불교조계종 3
 
1.0%
여여정사 2
 
0.7%
밀양성당 2
 
0.7%
약수암 2
 
0.7%
혜정사 2
 
0.7%
미륵암 2
 
0.7%
보리암 2
 
0.7%
정각사 2
 
0.7%
Other values (277) 282
92.5%
2023-12-13T07:06:23.032711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 150
 
9.8%
140
 
9.2%
회 126
 
8.3%
사 116
 
7.6%
양 40
 
2.6%
밀 38
 
2.5%
암 34
 
2.2%
성 28
 
1.8%
장 28
 
1.8%
정 27
 
1.8%
Other values (194) 800
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1385
90.7%
Space Separator 140
 
9.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 150
 
10.8%
회 126
 
9.1%
사 116
 
8.4%
양 40
 
2.9%
밀 38
 
2.7%
암 34
 
2.5%
성 28
 
2.0%
장 28
 
2.0%
정 27
 
1.9%
로 23
 
1.7%
Other values (191) 775
56.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1385
90.7%
Common 142
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 150
 
10.8%
회 126
 
9.1%
사 116
 
8.4%
양 40
 
2.9%
밀 38
 
2.7%
암 34
 
2.5%
성 28
 
2.0%
장 28
 
2.0%
정 27
 
1.9%
로 23
 
1.7%
Other values (191) 775
56.0%
Common
ValueCountFrequency (%)
140
98.6%
) 1
 
0.7%
( 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1385
90.7%
ASCII 142
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 150
 
10.8%
회 126
 
9.1%
사 116
 
8.4%
양 40
 
2.9%
밀 38
 
2.7%
암 34
 
2.5%
성 28
 
2.0%
장 28
 
2.0%
정 27
 
1.9%
로 23
 
1.7%
Other values (191) 775
56.0%
ASCII
ValueCountFrequency (%)
140
98.6%
) 1
 
0.7%
( 1
 
0.7%

소재지
Text

Distinct282
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T07:06:23.451689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length16.741259
Min length10

Characters and Unicode

Total characters4788
Distinct characters165
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)97.2%

Sample

1st row밀양시 삼랑진읍 신천길 39-35
2nd row밀양시 삼랑진읍 숭진석탑길 3
3rd row밀양시 삼랑진읍 미전2길 21
4th row밀양시 삼랑진읍 외송안길 7
5th row밀양시 삼랑진읍 송지1안길 4
ValueCountFrequency (%)
밀양시 286
26.6%
단장면 32
 
3.0%
삼랑진읍 29
 
2.7%
무안면 29
 
2.7%
하남읍 25
 
2.3%
상남면 22
 
2.0%
산내면 21
 
2.0%
상동면 17
 
1.6%
부북면 16
 
1.5%
초동면 13
 
1.2%
Other values (468) 586
54.5%
2023-12-13T07:06:23.953407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
852
17.8%
양 304
 
6.3%
밀 299
 
6.2%
시 298
 
6.2%
1 247
 
5.2%
길 183
 
3.8%
면 169
 
3.5%
3 163
 
3.4%
- 158
 
3.3%
2 150
 
3.1%
Other values (155) 1965
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2644
55.2%
Decimal Number 1080
22.6%
Space Separator 852
 
17.8%
Dash Punctuation 158
 
3.3%
Open Punctuation 27
 
0.6%
Close Punctuation 27
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 304
 
11.5%
밀 299
 
11.3%
시 298
 
11.3%
길 183
 
6.9%
면 169
 
6.4%
로 102
 
3.9%
동 79
 
3.0%
산 64
 
2.4%
남 63
 
2.4%
읍 54
 
2.0%
Other values (141) 1029
38.9%
Decimal Number
ValueCountFrequency (%)
1 247
22.9%
3 163
15.1%
2 150
13.9%
4 107
9.9%
5 79
 
7.3%
8 74
 
6.9%
9 70
 
6.5%
6 68
 
6.3%
7 65
 
6.0%
0 57
 
5.3%
Space Separator
ValueCountFrequency (%)
852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2644
55.2%
Common 2144
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 304
 
11.5%
밀 299
 
11.3%
시 298
 
11.3%
길 183
 
6.9%
면 169
 
6.4%
로 102
 
3.9%
동 79
 
3.0%
산 64
 
2.4%
남 63
 
2.4%
읍 54
 
2.0%
Other values (141) 1029
38.9%
Common
ValueCountFrequency (%)
852
39.7%
1 247
 
11.5%
3 163
 
7.6%
- 158
 
7.4%
2 150
 
7.0%
4 107
 
5.0%
5 79
 
3.7%
8 74
 
3.5%
9 70
 
3.3%
6 68
 
3.2%
Other values (4) 176
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2644
55.2%
ASCII 2144
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
852
39.7%
1 247
 
11.5%
3 163
 
7.6%
- 158
 
7.4%
2 150
 
7.0%
4 107
 
5.0%
5 79
 
3.7%
8 74
 
3.5%
9 70
 
3.3%
6 68
 
3.2%
Other values (4) 176
 
8.2%
Hangul
ValueCountFrequency (%)
양 304
 
11.5%
밀 299
 
11.3%
시 298
 
11.3%
길 183
 
6.9%
면 169
 
6.4%
로 102
 
3.9%
동 79
 
3.0%
산 64
 
2.4%
남 63
 
2.4%
읍 54
 
2.0%
Other values (141) 1029
38.9%

데이터기준날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-08-04
286 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-04
2nd row2023-08-04
3rd row2023-08-04
4th row2023-08-04
5th row2023-08-04

Common Values

ValueCountFrequency (%)
2023-08-04 286
100.0%

Length

2023-12-13T07:06:24.104876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:06:24.225990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-04 286
100.0%

Interactions

2023-12-13T07:06:21.376476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:06:24.287391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분
순번1.0000.829
종교구분0.8291.000
2023-12-13T07:06:24.377876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분
순번1.0000.661
종교구분0.6611.000

Missing values

2023-12-13T07:06:21.486490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:06:21.588886image/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

순번종교구분시설명소재지데이터기준날짜
01기독교삼랑진교회밀양시 삼랑진읍 신천길 39-352023-08-04
12기독교숭진장로교회밀양시 삼랑진읍 숭진석탑길 32023-08-04
23기독교미전장로교회밀양시 삼랑진읍 미전2길 212023-08-04
34기독교삼랑진 중앙교회밀양시 삼랑진읍 외송안길 72023-08-04
45기독교기독교대한성결교회삼랑진제일교회밀양시 삼랑진읍 송지1안길 42023-08-04
56기독교기독교대한감리회삼호교회밀양시 삼랑진읍 송원길 392023-08-04
67기독교삼랑진교회(검세)밀양시 삼랑진읍 검세길32023-08-04
78기독교수산교회밀양시 하남읍 초하로 7392023-08-04
89기독교대평교회밀양시 하남읍 대평4길 39-72023-08-04
910기독교백산장로교회밀양시 하남읍 백산2길 392023-08-04
순번종교구분시설명소재지데이터기준날짜
276277천주교수산성당밀양시 하남읍 수산동촌3길 162023-08-04
277278천주교천주교마산교구명례성지밀양시 하남읍 명례안길 44-12023-08-04
278279천주교밀양가르멜여자수녀원밀양시 상동면 금산3길 18-1282023-08-04
279280천주교밀양성당 송백공소밀양시 산내면 송정길 32023-08-04
280281천주교천주교부산교구맑은하늘피정의집밀양시 단장면 상봉1길 17-132023-08-04
281282천주교천주교예림성당외산공소밀양시 상남면 외평로 1812023-08-04
282283천주교남밀양성당남산공소밀양시 상남면 남산리 386-62023-08-04
283284천주교밀양성당무안공소밀양시 무안면 동부동안길 152023-08-04
284285천주교밀양성당밀양시 밀양대공원로 742023-08-04
285286천주교남밀양성당밀양시 가곡4길 202023-08-04