Overview

Dataset statistics

Number of variables7
Number of observations133
Missing cells29
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description담양군 관내 종교시설 현황에 대해 정보를 제공하며 종교(기독고, 천주교, 불교) 시설의 시설명, 주소 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15117645/fileData.do

Alerts

시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
전화번호 has 29 (21.8%) missing valuesMissing
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:39:36.301647
Analysis finished2023-12-12 13:39:36.774231
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T22:39:36.842732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.6
Q134
median67
Q3100
95-th percentile126.4
Maximum133
Range132
Interquartile range (IQR)66

Descriptive statistics

Standard deviation38.53786
Coefficient of variation (CV)0.57519194
Kurtosis-1.2
Mean67
Median Absolute Deviation (MAD)33
Skewness0
Sum8911
Variance1485.1667
MonotonicityStrictly increasing
2023-12-12T22:39:36.984466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
85 1
 
0.8%
99 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
Other values (123) 123
92.5%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
133 1
0.8%
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전라남도 담양군
133 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 담양군
2nd row전라남도 담양군
3rd row전라남도 담양군
4th row전라남도 담양군
5th row전라남도 담양군

Common Values

ValueCountFrequency (%)
전라남도 담양군 133
100.0%

Length

2023-12-12T22:39:37.124524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:39:37.216687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 133
50.0%
담양군 133
50.0%

시설명
Text

Distinct130
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:39:37.568498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.3082707
Min length3

Characters and Unicode

Total characters573
Distinct characters146
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)95.5%

Sample

1st row담양읍교회
2nd row중앙교회
3rd row가산성결교회
4th row주찬양교회
5th row담양남문교회
ValueCountFrequency (%)
중앙교회 2
 
1.5%
무량사 2
 
1.5%
관음사 2
 
1.5%
대원사 1
 
0.7%
담양성당 1
 
0.7%
영은사 1
 
0.7%
수정사 1
 
0.7%
화심사 1
 
0.7%
마하무량사 1
 
0.7%
호국사 1
 
0.7%
Other values (121) 121
90.3%
2023-12-12T22:39:38.088313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 82
 
14.3%
회 82
 
14.3%
사 40
 
7.0%
성 13
 
2.3%
양 13
 
2.3%
산 12
 
2.1%
원 11
 
1.9%
암 10
 
1.7%
담 10
 
1.7%
중 9
 
1.6%
Other values (136) 291
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 570
99.5%
Decimal Number 2
 
0.3%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 82
 
14.4%
회 82
 
14.4%
사 40
 
7.0%
성 13
 
2.3%
양 13
 
2.3%
산 12
 
2.1%
원 11
 
1.9%
암 10
 
1.8%
담 10
 
1.8%
중 9
 
1.6%
Other values (133) 288
50.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 570
99.5%
Common 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 82
 
14.4%
회 82
 
14.4%
사 40
 
7.0%
성 13
 
2.3%
양 13
 
2.3%
산 12
 
2.1%
원 11
 
1.9%
암 10
 
1.8%
담 10
 
1.8%
중 9
 
1.6%
Other values (133) 288
50.5%
Common
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 570
99.5%
ASCII 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 82
 
14.4%
회 82
 
14.4%
사 40
 
7.0%
성 13
 
2.3%
양 13
 
2.3%
산 12
 
2.1%
원 11
 
1.9%
암 10
 
1.8%
담 10
 
1.8%
중 9
 
1.6%
Other values (133) 288
50.5%
ASCII
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
2 1
33.3%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기독교
81 
불교
48 
천주교
 
4

Length

Max length3
Median length3
Mean length2.6390977
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 81
60.9%
불교 48
36.1%
천주교 4
 
3.0%

Length

2023-12-12T22:39:38.270371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:39:38.420129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 81
60.9%
불교 48
36.1%
천주교 4
 
3.0%

주소
Text

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:39:38.815689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.774436
Min length9

Characters and Unicode

Total characters2364
Distinct characters128
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

Unique133 ?
Unique (%)100.0%

Sample

1st row전라남도 담양군 담양읍 지침1길 10
2nd row전라남도 담양군 담양읍객사4길 6-18
3rd row전라남도 담양군 담양읍 고가뫼길 43-22
4th row전라남도 담양군 담양읍 삼거리길 19-10
5th row전라남도 담양군 담양읍 죽향대로 1034
ValueCountFrequency (%)
전라남도 85
 
15.0%
담양군 85
 
15.0%
담양읍 27
 
4.8%
금성면 12
 
2.1%
창평면 12
 
2.1%
월산면 11
 
1.9%
대전면 10
 
1.8%
용면 9
 
1.6%
수북면 9
 
1.6%
무정면 9
 
1.6%
Other values (241) 298
52.6%
2023-12-12T22:39:39.348515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
18.5%
담 116
 
4.9%
양 116
 
4.9%
1 106
 
4.5%
면 104
 
4.4%
전 99
 
4.2%
남 91
 
3.8%
도 87
 
3.7%
군 85
 
3.6%
라 85
 
3.6%
Other values (118) 1038
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1449
61.3%
Space Separator 437
 
18.5%
Decimal Number 419
 
17.7%
Dash Punctuation 57
 
2.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 116
 
8.0%
양 116
 
8.0%
면 104
 
7.2%
전 99
 
6.8%
남 91
 
6.3%
도 87
 
6.0%
군 85
 
5.9%
라 85
 
5.9%
길 84
 
5.8%
산 38
 
2.6%
Other values (104) 544
37.5%
Decimal Number
ValueCountFrequency (%)
1 106
25.3%
3 51
12.2%
2 44
10.5%
4 39
 
9.3%
8 35
 
8.4%
5 32
 
7.6%
7 30
 
7.2%
6 29
 
6.9%
9 29
 
6.9%
0 24
 
5.7%
Space Separator
ValueCountFrequency (%)
437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1449
61.3%
Common 915
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 116
 
8.0%
양 116
 
8.0%
면 104
 
7.2%
전 99
 
6.8%
남 91
 
6.3%
도 87
 
6.0%
군 85
 
5.9%
라 85
 
5.9%
길 84
 
5.8%
산 38
 
2.6%
Other values (104) 544
37.5%
Common
ValueCountFrequency (%)
437
47.8%
1 106
 
11.6%
- 57
 
6.2%
3 51
 
5.6%
2 44
 
4.8%
4 39
 
4.3%
8 35
 
3.8%
5 32
 
3.5%
7 30
 
3.3%
6 29
 
3.2%
Other values (4) 55
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1449
61.3%
ASCII 915
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
47.8%
1 106
 
11.6%
- 57
 
6.2%
3 51
 
5.6%
2 44
 
4.8%
4 39
 
4.3%
8 35
 
3.8%
5 32
 
3.5%
7 30
 
3.3%
6 29
 
3.2%
Other values (4) 55
 
6.0%
Hangul
ValueCountFrequency (%)
담 116
 
8.0%
양 116
 
8.0%
면 104
 
7.2%
전 99
 
6.8%
남 91
 
6.3%
도 87
 
6.0%
군 85
 
5.9%
라 85
 
5.9%
길 84
 
5.8%
산 38
 
2.6%
Other values (104) 544
37.5%

전화번호
Text

MISSING 

Distinct103
Distinct (%)99.0%
Missing29
Missing (%)21.8%
Memory size1.2 KiB
2023-12-12T22:39:39.604634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1248
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

Unique102 ?
Unique (%)98.1%

Sample

1st row061-383-4411
2nd row061-382-1933
3rd row061-382-2631
4th row061-383-6126
5th row061-381-3054
ValueCountFrequency (%)
061-382-8517 2
 
1.9%
061-382-7020 1
 
1.0%
061-383-4411 1
 
1.0%
061-382-8044 1
 
1.0%
061-381-0579 1
 
1.0%
061-381-0557 1
 
1.0%
061-382-0045 1
 
1.0%
061-383-6200 1
 
1.0%
061-381-0108 1
 
1.0%
061-381-2337 1
 
1.0%
Other values (93) 93
89.4%
2023-12-12T22:39:40.003262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 208
16.7%
1 180
14.4%
3 180
14.4%
0 165
13.2%
6 141
11.3%
8 136
10.9%
2 81
 
6.5%
5 43
 
3.4%
4 41
 
3.3%
7 39
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
83.3%
Dash Punctuation 208
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 180
17.3%
3 180
17.3%
0 165
15.9%
6 141
13.6%
8 136
13.1%
2 81
7.8%
5 43
 
4.1%
4 41
 
3.9%
7 39
 
3.8%
9 34
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 208
16.7%
1 180
14.4%
3 180
14.4%
0 165
13.2%
6 141
11.3%
8 136
10.9%
2 81
 
6.5%
5 43
 
3.4%
4 41
 
3.3%
7 39
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 208
16.7%
1 180
14.4%
3 180
14.4%
0 165
13.2%
6 141
11.3%
8 136
10.9%
2 81
 
6.5%
5 43
 
3.4%
4 41
 
3.3%
7 39
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2023-12-12T22:39:40.129527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:39:40.223120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:39:36.531002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:39:40.602200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.850
구분0.8501.000
2023-12-12T22:39:40.684492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.746
구분0.7461.000

Missing values

2023-12-12T22:39:36.634976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:39:36.735761image/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

연번시군구시설명구분주소전화번호데이터기준일자
01전라남도 담양군담양읍교회기독교전라남도 담양군 담양읍 지침1길 10061-383-44112023-08-02
12전라남도 담양군중앙교회기독교전라남도 담양군 담양읍객사4길 6-18061-382-19332023-08-02
23전라남도 담양군가산성결교회기독교전라남도 담양군 담양읍 고가뫼길 43-22061-382-26312023-08-02
34전라남도 담양군주찬양교회기독교전라남도 담양군 담양읍 삼거리길 19-10061-383-61262023-08-02
45전라남도 담양군담양남문교회기독교전라남도 담양군 담양읍 죽향대로 1034061-381-30542023-08-02
56전라남도 담양군복민교회기독교전라남도 담양군 담양읍 천변7길 10061-383-53732023-08-02
67전라남도 담양군백양교회기독교전라남도 담양군 담양읍 서당골길 9<NA>2023-08-02
78전라남도 담양군평안교회기독교전라남도 담양군 담양읍 추성로 1365-17061-381-38592023-08-02
89전라남도 담양군강쟁리교회기독교전라남도 담양군 담양읍 강쟁길 46-11061-380-34692023-08-02
910전라남도 담양군침례회담양교회기독교전라남도 담양군 담양읍 무정로 88061-382-26602023-08-02
연번시군구시설명구분주소전화번호데이터기준일자
123124전라남도 담양군죽림정사불교용면 쌍태길 13-13061-381-15002023-08-02
124125전라남도 담양군보리암불교용면 추성1길 1061-381-17302023-08-02
125126전라남도 담양군용추사불교용면 용연리 833061-383-11082023-08-02
126127전라남도 담양군용흥사불교월산면 용흥리 574061-382-05742023-08-02
127128전라남도 담양군중대암불교월산면 용흥리 584-1061-382-01072023-08-02
128129전라남도 담양군아불사불교월산면 용흥리 159<NA>2023-08-02
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