Overview

Dataset statistics

Number of variables23
Number of observations160
Missing cells1509
Missing cells (%)41.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.1 KiB
Average record size in memory198.8 B

Variable types

Categorical6
Text5
DateTime1
Unsupported7
Numeric3
Boolean1

Alerts

지정취소 has constant value ""Constant
영업상태구분코드 is highly imbalanced (83.1%)Imbalance
영업상태명 is highly imbalanced (83.1%)Imbalance
도로명우편번호 is highly imbalanced (91.8%)Imbalance
X좌표값 is highly imbalanced (90.6%)Imbalance
Y좌표값 is highly imbalanced (90.6%)Imbalance
인허가취소일자 has 160 (100.0%) missing valuesMissing
폐업일자 has 160 (100.0%) missing valuesMissing
소재지시설전화번호 has 157 (98.1%) missing valuesMissing
소재지면적정보 has 160 (100.0%) missing valuesMissing
소재지도로명주소 has 24 (15.0%) missing valuesMissing
소재지우편번호 has 10 (6.2%) missing valuesMissing
WGS84위도 has 21 (13.1%) missing valuesMissing
WGS84경도 has 21 (13.1%) missing valuesMissing
업태구분명정보 has 160 (100.0%) missing valuesMissing
창립연대 has 160 (100.0%) missing valuesMissing
지정취소 has 156 (97.5%) missing valuesMissing
지정취소일자 has 160 (100.0%) missing valuesMissing
지정취소사유 has 160 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
창립연대 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:44:50.401815
Analysis finished2023-12-10 21:44:50.800331
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
남양주시
17 
평택시
14 
고양시
11 
화성시
 
9
광주시
 
8
Other values (24)
101 

Length

Max length4
Median length3
Mean length3.1625
Min length3

Unique

Unique4 ?
Unique (%)2.5%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
남양주시 17
 
10.6%
평택시 14
 
8.8%
고양시 11
 
6.9%
화성시 9
 
5.6%
광주시 8
 
5.0%
안양시 8
 
5.0%
양평군 8
 
5.0%
김포시 7
 
4.4%
의정부시 7
 
4.4%
용인시 7
 
4.4%
Other values (19) 64
40.0%

Length

2023-12-11T06:44:50.881064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 17
 
10.6%
평택시 14
 
8.8%
고양시 11
 
6.9%
화성시 9
 
5.6%
광주시 8
 
5.0%
안양시 8
 
5.0%
양평군 8
 
5.0%
김포시 7
 
4.4%
의정부시 7
 
4.4%
용인시 7
 
4.4%
Other values (19) 64
40.0%

사업장명
Text

Distinct102
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T06:44:51.188521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.2125
Min length3

Characters and Unicode

Total characters514
Distinct characters97
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

Unique56 ?
Unique (%)35.0%

Sample

1st row현등사
2nd row현등사
3rd row대원사
4th row아미타사
5th row상운사
ValueCountFrequency (%)
신흥사 4
 
2.5%
보광사 4
 
2.5%
대법사 3
 
1.9%
동도사 3
 
1.9%
백련암 3
 
1.9%
흥국사 3
 
1.9%
대성사 3
 
1.9%
용주사 3
 
1.9%
약사사 3
 
1.9%
신륵사 3
 
1.9%
Other values (92) 128
80.0%
2023-12-11T06:44:51.586112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

인허가일자
Date

Distinct55
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1888-07-27 00:00:00
Maximum2017-01-09 00:00:00
2023-12-11T06:44:51.768133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:51.922721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
5
 
4

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 156
97.5%
5 4
 
2.5%

Length

2023-12-11T06:44:52.066056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:52.162973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
97.5%
5 4
 
2.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
운영중
156 
지정
 
4

Length

Max length3
Median length3
Mean length2.975
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 156
97.5%
지정 4
 
2.5%

Length

2023-12-11T06:44:52.260175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:52.356059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 156
97.5%
지정 4
 
2.5%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

소재지시설전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing157
Missing (%)98.1%
Memory size1.4 KiB
2023-12-11T06:44:52.464545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters36
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row031-882-9846
2nd row031-885-2505
3rd row031-226-3488
ValueCountFrequency (%)
031-882-9846 1
33.3%
031-885-2505 1
33.3%
031-226-3488 1
33.3%
2023-12-11T06:44:52.749541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 7
19.4%
- 6
16.7%
0 4
11.1%
3 4
11.1%
2 4
11.1%
1 3
8.3%
5 3
8.3%
4 2
 
5.6%
6 2
 
5.6%
9 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
83.3%
Dash Punctuation 6
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
23.3%
0 4
13.3%
3 4
13.3%
2 4
13.3%
1 3
10.0%
5 3
10.0%
4 2
 
6.7%
6 2
 
6.7%
9 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 7
19.4%
- 6
16.7%
0 4
11.1%
3 4
11.1%
2 4
11.1%
1 3
8.3%
5 3
8.3%
4 2
 
5.6%
6 2
 
5.6%
9 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 7
19.4%
- 6
16.7%
0 4
11.1%
3 4
11.1%
2 4
11.1%
1 3
8.3%
5 3
8.3%
4 2
 
5.6%
6 2
 
5.6%
9 1
 
2.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
157 
12601
 
1
12657
 
1
18347
 
1

Length

Max length5
Median length4
Mean length4.01875
Min length4

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 157
98.1%
12601 1
 
0.6%
12657 1
 
0.6%
18347 1
 
0.6%

Length

2023-12-11T06:44:52.879902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:52.983023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
98.1%
12601 1
 
0.6%
12657 1
 
0.6%
18347 1
 
0.6%

소재지도로명주소
Text

MISSING 

Distinct118
Distinct (%)86.8%
Missing24
Missing (%)15.0%
Memory size1.4 KiB
2023-12-11T06:44:53.224729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length23.75
Min length15

Characters and Unicode

Total characters3230
Distinct characters187
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

Unique100 ?
Unique (%)73.5%

Sample

1st row경기도 가평군 하면 현등사길 34
2nd row경기도 가평군 북면 백둔로 21-123
3rd row경기도 고양시 덕양구 대서문길 145-63 (북한동)
4th row경기도 고양시 덕양구 대서문길 197-22 (북한동)
5th row경기도 고양시 덕양구 대서문길 443 (북한동)
ValueCountFrequency (%)
경기도 136
 
19.2%
남양주시 16
 
2.3%
평택시 12
 
1.7%
고양시 10
 
1.4%
덕양구 10
 
1.4%
북한동 9
 
1.3%
화성시 9
 
1.3%
대서문길 9
 
1.3%
양평군 7
 
1.0%
여주시 7
 
1.0%
Other values (309) 483
68.2%
2023-12-11T06:44:53.633609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
 
18.0%
도 143
 
4.4%
경 139
 
4.3%
기 137
 
4.2%
시 127
 
3.9%
1 104
 
3.2%
로 93
 
2.9%
길 81
 
2.5%
2 76
 
2.4%
3 74
 
2.3%
Other values (177) 1675
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1891
58.5%
Decimal Number 597
 
18.5%
Space Separator 581
 
18.0%
Close Punctuation 53
 
1.6%
Open Punctuation 53
 
1.6%
Dash Punctuation 51
 
1.6%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 143
 
7.6%
경 139
 
7.4%
기 137
 
7.2%
시 127
 
6.7%
로 93
 
4.9%
길 81
 
4.3%
동 68
 
3.6%
양 60
 
3.2%
면 54
 
2.9%
주 44
 
2.3%
Other values (162) 945
50.0%
Decimal Number
ValueCountFrequency (%)
1 104
17.4%
2 76
12.7%
3 74
12.4%
4 65
10.9%
8 55
9.2%
7 49
8.2%
0 46
7.7%
9 46
7.7%
5 42
7.0%
6 40
 
6.7%
Space Separator
ValueCountFrequency (%)
581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1891
58.5%
Common 1339
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 143
 
7.6%
경 139
 
7.4%
기 137
 
7.2%
시 127
 
6.7%
로 93
 
4.9%
길 81
 
4.3%
동 68
 
3.6%
양 60
 
3.2%
면 54
 
2.9%
주 44
 
2.3%
Other values (162) 945
50.0%
Common
ValueCountFrequency (%)
581
43.4%
1 104
 
7.8%
2 76
 
5.7%
3 74
 
5.5%
4 65
 
4.9%
8 55
 
4.1%
) 53
 
4.0%
( 53
 
4.0%
- 51
 
3.8%
7 49
 
3.7%
Other values (5) 178
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1891
58.5%
ASCII 1339
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
43.4%
1 104
 
7.8%
2 76
 
5.7%
3 74
 
5.5%
4 65
 
4.9%
8 55
 
4.1%
) 53
 
4.0%
( 53
 
4.0%
- 51
 
3.8%
7 49
 
3.7%
Other values (5) 178
 
13.3%
Hangul
ValueCountFrequency (%)
도 143
 
7.6%
경 139
 
7.4%
기 137
 
7.2%
시 127
 
6.7%
로 93
 
4.9%
길 81
 
4.3%
동 68
 
3.6%
양 60
 
3.2%
면 54
 
2.9%
주 44
 
2.3%
Other values (162) 945
50.0%

소재지지번주소
Text

Distinct158
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T06:44:53.943459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.1625
Min length11

Characters and Unicode

Total characters3226
Distinct characters150
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

Unique156 ?
Unique (%)97.5%

Sample

1st row경기도 가평군 하면 하판리
2nd row경기도 가평군 하면 하판리 산 163번지
3rd row경기도 가평군 북면 백둔리 산 192번지
4th row경기도 고양시 덕양구 북한동
5th row경기도 고양시 덕양구 북한동 370
ValueCountFrequency (%)
경기도 160
 
19.7%
산 41
 
5.0%
남양주시 17
 
2.1%
평택시 14
 
1.7%
고양시 11
 
1.4%
덕양구 11
 
1.4%
북한동 10
 
1.2%
화성시 9
 
1.1%
별내면 9
 
1.1%
안양시 8
 
1.0%
Other values (320) 524
64.4%
2023-12-11T06:44:54.370573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
658
20.4%
도 166
 
5.1%
경 160
 
5.0%
기 160
 
5.0%
시 140
 
4.3%
리 100
 
3.1%
지 98
 
3.0%
번 94
 
2.9%
1 91
 
2.8%
동 79
 
2.4%
Other values (140) 1480
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2123
65.8%
Space Separator 658
 
20.4%
Decimal Number 404
 
12.5%
Dash Punctuation 41
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 166
 
7.8%
경 160
 
7.5%
기 160
 
7.5%
시 140
 
6.6%
리 100
 
4.7%
지 98
 
4.6%
번 94
 
4.4%
동 79
 
3.7%
면 77
 
3.6%
양 71
 
3.3%
Other values (128) 978
46.1%
Decimal Number
ValueCountFrequency (%)
1 91
22.5%
2 53
13.1%
3 43
10.6%
4 40
9.9%
5 37
9.2%
8 34
 
8.4%
9 34
 
8.4%
7 30
 
7.4%
6 22
 
5.4%
0 20
 
5.0%
Space Separator
ValueCountFrequency (%)
658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2123
65.8%
Common 1103
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 166
 
7.8%
경 160
 
7.5%
기 160
 
7.5%
시 140
 
6.6%
리 100
 
4.7%
지 98
 
4.6%
번 94
 
4.4%
동 79
 
3.7%
면 77
 
3.6%
양 71
 
3.3%
Other values (128) 978
46.1%
Common
ValueCountFrequency (%)
658
59.7%
1 91
 
8.3%
2 53
 
4.8%
3 43
 
3.9%
- 41
 
3.7%
4 40
 
3.6%
5 37
 
3.4%
8 34
 
3.1%
9 34
 
3.1%
7 30
 
2.7%
Other values (2) 42
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2123
65.8%
ASCII 1103
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
658
59.7%
1 91
 
8.3%
2 53
 
4.8%
3 43
 
3.9%
- 41
 
3.7%
4 40
 
3.6%
5 37
 
3.4%
8 34
 
3.1%
9 34
 
3.1%
7 30
 
2.7%
Other values (2) 42
 
3.8%
Hangul
ValueCountFrequency (%)
도 166
 
7.8%
경 160
 
7.5%
기 160
 
7.5%
시 140
 
6.6%
리 100
 
4.7%
지 98
 
4.6%
번 94
 
4.4%
동 79
 
3.7%
면 77
 
3.6%
양 71
 
3.3%
Other values (128) 978
46.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)63.3%
Missing10
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean13939.373
Minimum10000
Maximum18555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:44:54.491422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10582
Q111851
median12700
Q317129.75
95-th percentile18255
Maximum18555
Range8555
Interquartile range (IQR)5278.75

Descriptive statistics

Standard deviation2757.2171
Coefficient of variation (CV)0.19780065
Kurtosis-1.3813179
Mean13939.373
Median Absolute Deviation (MAD)1746
Skewness0.38314611
Sum2090906
Variance7602245.9
MonotonicityNot monotonic
2023-12-11T06:44:54.614808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10582 10
 
6.2%
12100 5
 
3.1%
18347 3
 
1.9%
12657 3
 
1.9%
12700 3
 
1.9%
17711 2
 
1.2%
17123 2
 
1.2%
16230 2
 
1.2%
17410 2
 
1.2%
17415 2
 
1.2%
Other values (85) 116
72.5%
(Missing) 10
 
6.2%
ValueCountFrequency (%)
10000 2
 
1.2%
10042 2
 
1.2%
10072 1
 
0.6%
10118 1
 
0.6%
10580 1
 
0.6%
10582 10
6.2%
10844 1
 
0.6%
10862 1
 
0.6%
10953 1
 
0.6%
10955 1
 
0.6%
ValueCountFrequency (%)
18555 2
1.2%
18465 2
1.2%
18347 3
1.9%
18255 2
1.2%
18102 1
 
0.6%
17990 2
1.2%
17972 1
 
0.6%
17969 1
 
0.6%
17949 1
 
0.6%
17821 2
1.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)79.9%
Missing21
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean37.445727
Minimum36.913892
Maximum38.128397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:44:54.726096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.913892
5-th percentile36.998669
Q137.219978
median37.441381
Q337.658105
95-th percentile37.899372
Maximum38.128397
Range1.2145055
Interquartile range (IQR)0.43812656

Descriptive statistics

Standard deviation0.27976517
Coefficient of variation (CV)0.0074712175
Kurtosis-0.68317193
Mean37.445727
Median Absolute Deviation (MAD)0.21748872
Skewness0.047651258
Sum5204.9561
Variance0.078268553
MonotonicityNot monotonic
2023-12-11T06:44:54.880218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2117829498 3
 
1.9%
37.297420524 2
 
1.2%
37.6234760528 2
 
1.2%
37.6908965035 2
 
1.2%
37.4346097296 2
 
1.2%
37.4282830679 2
 
1.2%
37.5502180071 2
 
1.2%
37.5485775848 2
 
1.2%
37.4877446665 2
 
1.2%
37.3908129315 2
 
1.2%
Other values (101) 118
73.8%
(Missing) 21
 
13.1%
ValueCountFrequency (%)
36.9138918749 1
0.6%
36.925196185 1
0.6%
36.9397947684 1
0.6%
36.9460391528 1
0.6%
36.9504785158 1
0.6%
36.9656266899 2
1.2%
37.0023403002 1
0.6%
37.0085957427 2
1.2%
37.0157620553 2
1.2%
37.0263280823 1
0.6%
ValueCountFrequency (%)
38.1283973615 1
0.6%
38.0715638068 1
0.6%
38.0713435028 1
0.6%
37.9459362613 1
0.6%
37.9456816652 1
0.6%
37.9325110172 1
0.6%
37.8996185552 1
0.6%
37.8993450968 1
0.6%
37.8986760535 1
0.6%
37.8705872565 1
0.6%

WGS84경도
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)79.9%
Missing21
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean127.13064
Minimum126.55845
Maximum127.70601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T06:44:55.007972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55845
5-th percentile126.76063
Q1126.97497
median127.09901
Q3127.26662
95-th percentile127.60456
Maximum127.70601
Range1.1475587
Interquartile range (IQR)0.29164094

Descriptive statistics

Standard deviation0.24401358
Coefficient of variation (CV)0.0019193924
Kurtosis-0.10095719
Mean127.13064
Median Absolute Deviation (MAD)0.13329882
Skewness0.41632796
Sum17671.159
Variance0.059542625
MonotonicityNot monotonic
2023-12-11T06:44:55.139707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0056181833 3
 
1.9%
127.659948866 2
 
1.2%
127.2613672864 2
 
1.2%
127.2898817144 2
 
1.2%
126.9361430665 2
 
1.2%
126.9344499298 2
 
1.2%
127.5704510673 2
 
1.2%
127.553128663 2
 
1.2%
127.6247900073 2
 
1.2%
127.5116360008 2
 
1.2%
Other values (101) 118
73.8%
(Missing) 21
 
13.1%
ValueCountFrequency (%)
126.5584491639 1
0.6%
126.5786871608 1
0.6%
126.6759469395 1
0.6%
126.6862042519 1
0.6%
126.7085449684 1
0.6%
126.7097929756 2
1.2%
126.766282364 1
0.6%
126.7936269606 1
0.6%
126.7936392706 1
0.6%
126.8216664113 1
0.6%
ValueCountFrequency (%)
127.7060078813 1
0.6%
127.659948866 2
1.2%
127.6247900073 2
1.2%
127.6054171914 1
0.6%
127.6045558 2
1.2%
127.5704510673 2
1.2%
127.5593574634 2
1.2%
127.5570004042 1
0.6%
127.553128663 2
1.2%
127.5116360008 2
1.2%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

X좌표값
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
245200.459943374
 
1
253647.355138671
 
1
258482.081760534
 
1
200380.503665159
 
1

Length

Max length16
Median length4
Mean length4.3
Min length4

Unique

Unique4 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 156
97.5%
245200.459943374 1
 
0.6%
253647.355138671 1
 
0.6%
258482.081760534 1
 
0.6%
200380.503665159 1
 
0.6%

Length

2023-12-11T06:44:55.273726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:55.394236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
97.5%
245200.459943374 1
 
0.6%
253647.355138671 1
 
0.6%
258482.081760534 1
 
0.6%
200380.503665159 1
 
0.6%

Y좌표값
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
432207.980392977
 
1
414271.992095487
 
1
421905.453377808
 
1
412264.751843753
 
1

Length

Max length16
Median length4
Mean length4.3
Min length4

Unique

Unique4 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 156
97.5%
432207.980392977 1
 
0.6%
414271.992095487 1
 
0.6%
421905.453377808 1
 
0.6%
412264.751843753 1
 
0.6%

Length

2023-12-11T06:44:55.501307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:55.604381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
97.5%
432207.980392977 1
 
0.6%
414271.992095487 1
 
0.6%
421905.453377808 1
 
0.6%
412264.751843753 1
 
0.6%

창립연대
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

지정취소
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)25.0%
Missing156
Missing (%)97.5%
Memory size452.0 B
False
 
4
(Missing)
156 
ValueCountFrequency (%)
False 4
 
2.5%
(Missing) 156
97.5%
2023-12-11T06:44:55.722346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

지정취소사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

전통사찰명
Text

Distinct102
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T06:44:56.015659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.2125
Min length3

Characters and Unicode

Total characters514
Distinct characters97
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

Unique56 ?
Unique (%)35.0%

Sample

1st row현등사
2nd row현등사
3rd row대원사
4th row아미타사
5th row상운사
ValueCountFrequency (%)
신흥사 4
 
2.5%
보광사 4
 
2.5%
대법사 3
 
1.9%
동도사 3
 
1.9%
백련암 3
 
1.9%
흥국사 3
 
1.9%
대성사 3
 
1.9%
용주사 3
 
1.9%
약사사 3
 
1.9%
신륵사 3
 
1.9%
Other values (92) 128
80.0%
2023-12-11T06:44:56.432628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 141
27.4%
암 28
 
5.4%
원 14
 
2.7%
용 12
 
2.3%
흥 12
 
2.3%
대 10
 
1.9%
불 9
 
1.8%
보 9
 
1.8%
수 9
 
1.8%
봉 8
 
1.6%
Other values (87) 262
51.0%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값창립연대지정취소지정취소일자지정취소사유전통사찰명
0가평군현등사19880728<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 하면 하판리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>현등사
1가평군현등사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 현등사길 34경기도 가평군 하면 하판리 산 163번지1243237.870587127.331043<NA><NA><NA><NA><NA><NA><NA>현등사
2가평군대원사20170109<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 북면 백둔로 21-123경기도 가평군 북면 백둔리 산 192번지1240537.898676127.501467<NA><NA><NA><NA><NA><NA><NA>대원사
3고양시아미타사20050125<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 대서문길 145-63 (북한동)경기도 고양시 덕양구 북한동1058237.656152126.959277<NA><NA><NA><NA><NA><NA><NA>아미타사
4고양시상운사19670703<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 대서문길 197-22 (북한동)경기도 고양시 덕양구 북한동 3701058237.656505126.969569<NA><NA><NA><NA><NA><NA><NA>상운사
5고양시봉성암20160108<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 대서문길 443 (북한동)경기도 고양시 덕양구 북한동 181058237.64575126.981071<NA><NA><NA><NA><NA><NA><NA>봉성암
6고양시노적사20010117<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 대서문길 311-35 (북한동)경기도 고양시 덕양구 북한동 331번지1058237.649617126.972996<NA><NA><NA><NA><NA><NA><NA>노적사
7고양시무량사19880728<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 고양시 덕양구 북한동 464-1번지10582<NA><NA><NA><NA><NA><NA><NA><NA><NA>무량사
8고양시태고사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 대서문길 406 (북한동)경기도 고양시 덕양구 북한동 15번지1058237.645592126.978091<NA><NA><NA><NA><NA><NA><NA>태고사
9고양시흥국사19660412<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 흥국사길 82 (지축동)경기도 고양시 덕양구 지축동 203번지1058037.663723126.939936<NA><NA><NA><NA><NA><NA><NA>흥국사
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값창립연대지정취소지정취소일자지정취소사유전통사찰명
150하남시선법사20050124<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 서하남로588번길 125 (교산동)경기도 하남시 교산동 55-1번지1301837.51799127.208676<NA><NA><NA><NA><NA><NA><NA>선법사
151화성시봉림사20021203<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 남양읍 주석로80번길 139경기도 화성시 남양읍 북양리 642번지1825537.205806126.845543<NA><NA><NA><NA><NA><NA><NA>봉림사
152화성시신흥사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 신흥사길 17-34경기도 화성시 서신면 상안리 72-111855537.193016126.709793<NA><NA><NA><NA><NA><NA><NA>신흥사
153화성시만의사20021203<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 풀무골로 219경기도 화성시 동탄면 중리 140번지1846537.20953127.149831<NA><NA><NA><NA><NA><NA><NA>만의사
154화성시봉림사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 남양읍 주석로80번길 139경기도 화성시 북양동 6421825537.205806126.845543<NA><NA><NA><NA><NA><NA><NA>봉림사
155화성시신흥사20021203<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 서신면 신흥사길 17-34경기도 화성시 서신면 상안리 72-11번지1855537.193016126.709793<NA><NA><NA><NA><NA><NA><NA>신흥사
156화성시용주사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 용주로 136 (송산동, 용주사)경기도 화성시 송산동1834737.211783127.005618<NA><NA><NA><NA><NA><NA><NA>용주사
157화성시만의사19880728<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄면 풀무골로 219경기도 화성시 동탄면 중리 1401846537.20953127.149831<NA><NA><NA><NA><NA><NA><NA>만의사
158화성시용주사20021203<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 용주로 136경기도 화성시 송산동 188번지1834737.211783127.005618<NA><NA><NA><NA><NA><NA><NA>용주사
159화성시용주사1988-07-28<NA>5지정<NA>031-226-3488<NA>18347경기도 화성시 용주로 136 (송산동, 용주사)경기도 화성시 송산동1834737.211783127.005618<NA>200380.503665412264.751844<NA>N<NA><NA>용주사