Overview

Dataset statistics

Number of variables9
Number of observations135
Missing cells24
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory75.0 B

Variable types

Categorical3
Text3
Numeric2
DateTime1

Dataset

Description경상북도 청송군에 소재하고 있는 종교시설현황 자료입니다. 항목은 종교구분, 시설명, 주소, 전화번호, 데이터기준일자 입니다.
URLhttps://www.data.go.kr/data/15117797/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 24 (17.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:53:18.532149
Analysis finished2023-12-12 00:53:20.017495
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경상북도
135 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 135
100.0%

Length

2023-12-12T09:53:20.140457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:53:20.303257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 135
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
청송군
135 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청송군 135
100.0%

Length

2023-12-12T09:53:20.523219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:53:20.691343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청송군 135
100.0%

종교구분
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기독교
82 
불교
50 
천주교
 
3

Length

Max length3
Median length3
Mean length2.6296296
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 82
60.7%
불교 50
37.0%
천주교 3
 
2.2%

Length

2023-12-12T09:53:20.850158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:53:21.032861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 82
60.7%
불교 50
37.0%
천주교 3
 
2.2%

시설명
Text

Distinct130
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:53:21.442476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.4296296
Min length3

Characters and Unicode

Total characters598
Distinct characters126
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

Unique125 ?
Unique (%)92.6%

Sample

1st row청송제일교회
2nd row청운교회
3rd row송생교회
4th row청송읍교회
5th row덕리교회
ValueCountFrequency (%)
관음사 2
 
1.5%
청룡사 2
 
1.5%
청송교회 2
 
1.5%
용화사 2
 
1.5%
푸른솔교회 2
 
1.5%
포교당 1
 
0.7%
보광사 1
 
0.7%
무상사 1
 
0.7%
팔각사 1
 
0.7%
진흥사 1
 
0.7%
Other values (121) 121
89.0%
2023-12-12T09:53:22.010287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 83
 
13.9%
회 81
 
13.5%
사 42
 
7.0%
성 15
 
2.5%
청 14
 
2.3%
일 14
 
2.3%
송 12
 
2.0%
천 10
 
1.7%
진 10
 
1.7%
덕 10
 
1.7%
Other values (116) 307
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
98.2%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 83
 
14.1%
회 81
 
13.8%
사 42
 
7.2%
성 15
 
2.6%
청 14
 
2.4%
일 14
 
2.4%
송 12
 
2.0%
천 10
 
1.7%
진 10
 
1.7%
덕 10
 
1.7%
Other values (110) 296
50.4%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
7 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
98.2%
Common 11
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 83
 
14.1%
회 81
 
13.8%
사 42
 
7.2%
성 15
 
2.6%
청 14
 
2.4%
일 14
 
2.4%
송 12
 
2.0%
천 10
 
1.7%
진 10
 
1.7%
덕 10
 
1.7%
Other values (110) 296
50.4%
Common
ValueCountFrequency (%)
( 3
27.3%
) 3
27.3%
7 2
18.2%
- 1
 
9.1%
> 1
 
9.1%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 587
98.2%
ASCII 11
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 83
 
14.1%
회 81
 
13.8%
사 42
 
7.2%
성 15
 
2.6%
청 14
 
2.4%
일 14
 
2.4%
송 12
 
2.0%
천 10
 
1.7%
진 10
 
1.7%
덕 10
 
1.7%
Other values (110) 296
50.4%
ASCII
ValueCountFrequency (%)
( 3
27.3%
) 3
27.3%
7 2
18.2%
- 1
 
9.1%
> 1
 
9.1%
1
 
9.1%

주소
Text

Distinct134
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:53:22.656109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.57037
Min length18

Characters and Unicode

Total characters2912
Distinct characters129
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

Unique133 ?
Unique (%)98.5%

Sample

1st row경상북도 청송군 청송읍 망미정3길 9
2nd row경상북도 청송군 청송읍 서당길 4
3rd row경상북도 청송군 청송읍 뒷들길 28
4th row경상북도 청송군 청송읍 망미정1길 5-1
5th row경상북도 청송군 청송읍 길안청송로 1658
ValueCountFrequency (%)
경상북도 135
20.0%
청송군 135
20.0%
진보면 35
 
5.2%
청송읍 22
 
3.3%
주왕산면 16
 
2.4%
부남면 15
 
2.2%
현서면 15
 
2.2%
안덕면 14
 
2.1%
현동면 9
 
1.3%
파천면 9
 
1.3%
Other values (210) 270
40.0%
2023-12-12T09:53:23.362336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
540
18.5%
청 168
 
5.8%
송 168
 
5.8%
도 137
 
4.7%
경 136
 
4.7%
군 136
 
4.7%
상 136
 
4.7%
북 135
 
4.6%
면 114
 
3.9%
1 94
 
3.2%
Other values (119) 1148
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1839
63.2%
Space Separator 540
 
18.5%
Decimal Number 469
 
16.1%
Dash Punctuation 64
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 168
 
9.1%
송 168
 
9.1%
도 137
 
7.4%
경 136
 
7.4%
군 136
 
7.4%
상 136
 
7.4%
북 135
 
7.3%
면 114
 
6.2%
길 83
 
4.5%
로 55
 
3.0%
Other values (107) 571
31.0%
Decimal Number
ValueCountFrequency (%)
1 94
20.0%
2 77
16.4%
5 50
10.7%
4 46
9.8%
3 42
9.0%
6 40
8.5%
9 35
 
7.5%
8 32
 
6.8%
7 29
 
6.2%
0 24
 
5.1%
Space Separator
ValueCountFrequency (%)
540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1839
63.2%
Common 1073
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 168
 
9.1%
송 168
 
9.1%
도 137
 
7.4%
경 136
 
7.4%
군 136
 
7.4%
상 136
 
7.4%
북 135
 
7.3%
면 114
 
6.2%
길 83
 
4.5%
로 55
 
3.0%
Other values (107) 571
31.0%
Common
ValueCountFrequency (%)
540
50.3%
1 94
 
8.8%
2 77
 
7.2%
- 64
 
6.0%
5 50
 
4.7%
4 46
 
4.3%
3 42
 
3.9%
6 40
 
3.7%
9 35
 
3.3%
8 32
 
3.0%
Other values (2) 53
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1839
63.2%
ASCII 1073
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
540
50.3%
1 94
 
8.8%
2 77
 
7.2%
- 64
 
6.0%
5 50
 
4.7%
4 46
 
4.3%
3 42
 
3.9%
6 40
 
3.7%
9 35
 
3.3%
8 32
 
3.0%
Other values (2) 53
 
4.9%
Hangul
ValueCountFrequency (%)
청 168
 
9.1%
송 168
 
9.1%
도 137
 
7.4%
경 136
 
7.4%
군 136
 
7.4%
상 136
 
7.4%
북 135
 
7.3%
면 114
 
6.2%
길 83
 
4.5%
로 55
 
3.0%
Other values (107) 571
31.0%

전화번호
Text

MISSING 

Distinct111
Distinct (%)100.0%
Missing24
Missing (%)17.8%
Memory size1.2 KiB
2023-12-12T09:53:23.687245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length12.099099
Min length12

Characters and Unicode

Total characters1343
Distinct characters12
Distinct categories3 ?
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 row054-872-3070
2nd row054-873-2324
3rd row054-874-4963
4th row054-874-4629
5th row054-873-0691
ValueCountFrequency (%)
054-872-3070 1
 
0.9%
054-873-2216 1
 
0.9%
054-873-3912 1
 
0.9%
054-873-2921 1
 
0.9%
054-873-2908 1
 
0.9%
054-873-4293 1
 
0.9%
054-874-6699 1
 
0.9%
054-873-2492 1
 
0.9%
054-872-4183 1
 
0.9%
054-873-2305 1
 
0.9%
Other values (101) 101
91.0%
2023-12-12T09:53:24.210781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 222
16.5%
4 188
14.0%
0 163
12.1%
5 153
11.4%
7 151
11.2%
8 130
9.7%
2 95
7.1%
3 93
6.9%
1 54
 
4.0%
6 43
 
3.2%
Other values (2) 51
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1112
82.8%
Dash Punctuation 222
 
16.5%
Space Separator 9
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 188
16.9%
0 163
14.7%
5 153
13.8%
7 151
13.6%
8 130
11.7%
2 95
8.5%
3 93
8.4%
1 54
 
4.9%
6 43
 
3.9%
9 42
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 222
16.5%
4 188
14.0%
0 163
12.1%
5 153
11.4%
7 151
11.2%
8 130
9.7%
2 95
7.1%
3 93
6.9%
1 54
 
4.0%
6 43
 
3.2%
Other values (2) 51
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 222
16.5%
4 188
14.0%
0 163
12.1%
5 153
11.4%
7 151
11.2%
8 130
9.7%
2 95
7.1%
3 93
6.9%
1 54
 
4.0%
6 43
 
3.2%
Other values (2) 51
 
3.8%

위도
Real number (ℝ)

Distinct134
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.389092
Minimum36.202825
Maximum36.578146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:53:24.420834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.202825
5-th percentile36.229367
Q136.288816
median36.395009
Q336.501099
95-th percentile36.532721
Maximum36.578146
Range0.37532158
Interquartile range (IQR)0.212283

Descriptive statistics

Standard deviation0.10755282
Coefficient of variation (CV)0.0029556336
Kurtosis-1.37364
Mean36.389092
Median Absolute Deviation (MAD)0.10624266
Skewness0.001826759
Sum4912.5274
Variance0.01156761
MonotonicityNot monotonic
2023-12-12T09:53:24.611762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.39680183 2
 
1.5%
36.43298416 1
 
0.7%
36.43456934 1
 
0.7%
36.26333766 1
 
0.7%
36.27604395 1
 
0.7%
36.27849185 1
 
0.7%
36.36141001 1
 
0.7%
36.33127655 1
 
0.7%
36.32518922 1
 
0.7%
36.31734613 1
 
0.7%
Other values (124) 124
91.9%
ValueCountFrequency (%)
36.20282491 1
0.7%
36.20582436 1
0.7%
36.20720065 1
0.7%
36.20817039 1
0.7%
36.21797156 1
0.7%
36.22790436 1
0.7%
36.22827431 1
0.7%
36.22983536 1
0.7%
36.23791699 1
0.7%
36.23992008 1
0.7%
ValueCountFrequency (%)
36.57814649 1
0.7%
36.54147413 1
0.7%
36.53929316 1
0.7%
36.53880179 1
0.7%
36.53824159 1
0.7%
36.53616963 1
0.7%
36.53281321 1
0.7%
36.53268205 1
0.7%
36.53223636 1
0.7%
36.53142566 1
0.7%

경도
Real number (ℝ)

Distinct134
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04993
Minimum128.87901
Maximum129.24866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:53:24.828582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.87901
5-th percentile128.9076
Q1129.01678
median129.04508
Q3129.08752
95-th percentile129.17471
Maximum129.24866
Range0.3696503
Interquartile range (IQR)0.07073715

Descriptive statistics

Standard deviation0.076940297
Coefficient of variation (CV)0.00059620566
Kurtosis0.046115127
Mean129.04993
Median Absolute Deviation (MAD)0.0383715
Skewness0.05628614
Sum17421.74
Variance0.0059198093
MonotonicityNot monotonic
2023-12-12T09:53:25.004292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1459981 2
 
1.5%
129.0585734 1
 
0.7%
129.058084 1
 
0.7%
129.1983798 1
 
0.7%
129.1450501 1
 
0.7%
129.1514792 1
 
0.7%
129.0781944 1
 
0.7%
129.2486599 1
 
0.7%
129.2435357 1
 
0.7%
129.2164393 1
 
0.7%
Other values (124) 124
91.9%
ValueCountFrequency (%)
128.8790096 1
0.7%
128.8944821 1
0.7%
128.8966786 1
0.7%
128.8971189 1
0.7%
128.9004151 1
0.7%
128.9055906 1
0.7%
128.907458 1
0.7%
128.9076664 1
0.7%
128.9099881 1
0.7%
128.9188008 1
0.7%
ValueCountFrequency (%)
129.2486599 1
0.7%
129.2435357 1
0.7%
129.2164393 1
0.7%
129.2058918 1
0.7%
129.199003 1
0.7%
129.1983798 1
0.7%
129.1765538 1
0.7%
129.173915 1
0.7%
129.1670927 1
0.7%
129.1639563 1
0.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T09:53:25.155292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:53:25.255760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:53:19.289082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:53:18.963404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:53:19.466970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:53:19.128836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:53:25.333056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종교구분위도경도
종교구분1.0000.0000.094
위도0.0001.0000.789
경도0.0940.7891.000
2023-12-12T09:53:25.422390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종교구분
위도1.0000.2620.000
경도0.2621.0000.054
종교구분0.0000.0541.000

Missing values

2023-12-12T09:53:19.686726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:53:19.919065image/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

시도명시군구명종교구분시설명주소전화번호위도경도데이터기준일자
0경상북도청송군기독교청송제일교회경상북도 청송군 청송읍 망미정3길 9054-872-307036.432984129.0585732023-08-01
1경상북도청송군기독교청운교회경상북도 청송군 청송읍 서당길 4054-873-232436.398789129.0689082023-08-01
2경상북도청송군기독교송생교회경상북도 청송군 청송읍 뒷들길 28054-874-496336.390272129.0881322023-08-01
3경상북도청송군기독교청송읍교회경상북도 청송군 청송읍 망미정1길 5-1054-874-462936.433223129.0568222023-08-01
4경상북도청송군기독교덕리교회경상북도 청송군 청송읍 길안청송로 1658054-873-069136.434128129.0450772023-08-01
5경상북도청송군기독교푸른솔교회경상북도 청송군 청송읍 부곡길 16-19054-873-597136.443061129.0787572023-08-01
6경상북도청송군기독교율목교회경상북도 청송군 청송읍 논시길 5054-873-459136.452617129.0754572023-08-01
7경상북도청송군기독교광야교회경상북도 청송군 청송읍 월외길 7054-873-791236.440703129.1067182023-08-01
8경상북도청송군기독교청송교회경상북도 청송군 청송읍 금월로 222054-873-357636.428831129.0560482023-08-01
9경상북도청송군기독교청송왕국교회경상북도 청송군 청송읍 국골2길 8054-873-197536.435286129.0611462023-08-01
시도명시군구명종교구분시설명주소전화번호위도경도데이터기준일자
125경상북도청송군불교대천사경상북도 청송군 진보면 경동로 5426-284054-873-196536.483696129.1449932023-08-01
126경상북도청송군불교천일사경상북도 청송군 진보면 솔고개1길 22<NA>36.514902129.0334992023-08-01
127경상북도청송군불교구룡사경상북도 청송군 진보면 신촌갈평길 60054-873-698836.500198129.1174662023-08-01
128경상북도청송군불교반야정사경상북도 청송군 진보면 진안서4길 11-2054-874-333336.531375129.0427312023-08-01
129경상북도청송군불교지장사->천황사경상북도 청송군 진보면 광덕세장길 561054-872-911436.578146129.0289162023-08-01
130경상북도청송군불교광덕사경상북도 청송군 진보면 신한1길 130507-1473-302036.538802129.0422022023-08-01
131경상북도청송군불교원광사경상북도 청송군 진보면 높은배리길 90<NA>36.516688129.1005912023-08-01
132경상북도청송군천주교청송성당경상북도 청송군 청송읍 군청로 77054-872-205136.434996129.0597322023-08-01
133경상북도청송군천주교도평성당경상북도 청송군 현동면 안현로 1045054-872-178136.295903129.0157592023-08-01
134경상북도청송군천주교진보성당경상북도 청송군 진보면 진보로 95-8054-874-239736.529819129.0427182023-08-01