Overview

Dataset statistics

Number of variables11
Number of observations126
Missing cells151
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory94.0 B

Variable types

Categorical3
Text4
Unsupported1
Numeric3

Dataset

Description경기도 안전관리 우수 다중업소 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=8195BH029XWBKN0R9MB64429658&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
영업허가일 has 126 (100.0%) missing valuesMissing
소재지우편번호 has 5 (4.0%) missing valuesMissing
소재지지번주소 has 5 (4.0%) missing valuesMissing
소재지도로명주소 has 5 (4.0%) missing valuesMissing
WGS84위도 has 5 (4.0%) missing valuesMissing
WGS84경도 has 5 (4.0%) missing valuesMissing
영업허가일 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:06:38.727544
Analysis finished2023-12-10 21:06:40.948226
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
남양주시
 
8
성남시
 
8
고양시
 
7
평택시
 
7
여주시
 
7
Other values (24)
89 

Length

Max length4
Median length3
Mean length3.1111111
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 8
 
6.3%
성남시 8
 
6.3%
고양시 7
 
5.6%
평택시 7
 
5.6%
여주시 7
 
5.6%
수원시 7
 
5.6%
포천시 6
 
4.8%
군포시 6
 
4.8%
파주시 6
 
4.8%
용인시 6
 
4.8%
Other values (19) 58
46.0%

Length

2023-12-11T06:06:41.038676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 8
 
6.3%
성남시 8
 
6.3%
고양시 7
 
5.6%
평택시 7
 
5.6%
여주시 7
 
5.6%
수원시 7
 
5.6%
포천시 6
 
4.8%
군포시 6
 
4.8%
파주시 6
 
4.8%
용인시 6
 
4.8%
Other values (19) 58
46.0%

업소명
Text

Distinct125
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:41.289654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.7619048
Min length2

Characters and Unicode

Total characters1104
Distinct characters263
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)98.4%

Sample

1st row해븐지버거 카페코나퀸즈
2nd row1939시네마
3rd row가평 베네스트C.C 식당
4th row현대백화점 킨텍스점 문화센터
5th row잭슨나인스 일산점
ValueCountFrequency (%)
롯데시네마 21
 
10.2%
맥도날드 6
 
2.9%
설빙 4
 
1.9%
메가박스 4
 
1.9%
스타벅스 4
 
1.9%
투썸플레이스 3
 
1.5%
수원점 2
 
1.0%
북수원점 2
 
1.0%
레스토랑 2
 
1.0%
cgv 2
 
1.0%
Other values (153) 156
75.7%
2023-12-11T06:06:41.647242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
7.2%
점 58
 
5.3%
스 44
 
4.0%
시 29
 
2.6%
마 28
 
2.5%
네 27
 
2.4%
데 26
 
2.4%
롯 26
 
2.4%
리 19
 
1.7%
C 18
 
1.6%
Other values (253) 749
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
84.1%
Space Separator 80
 
7.2%
Uppercase Letter 69
 
6.2%
Decimal Number 9
 
0.8%
Other Symbol 5
 
0.5%
Other Punctuation 5
 
0.5%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 58
 
6.2%
스 44
 
4.7%
시 29
 
3.1%
마 28
 
3.0%
네 27
 
2.9%
데 26
 
2.8%
롯 26
 
2.8%
리 19
 
2.0%
이 16
 
1.7%
원 12
 
1.3%
Other values (227) 644
69.3%
Uppercase Letter
ValueCountFrequency (%)
C 18
26.1%
T 13
18.8%
D 12
17.4%
G 9
13.0%
V 8
11.6%
P 2
 
2.9%
J 1
 
1.4%
S 1
 
1.4%
F 1
 
1.4%
K 1
 
1.4%
Other values (3) 3
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
9 2
22.2%
3 2
22.2%
0 1
11.1%
2 1
11.1%
4 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 934
84.6%
Common 101
 
9.1%
Latin 69
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 58
 
6.2%
스 44
 
4.7%
시 29
 
3.1%
마 28
 
3.0%
네 27
 
2.9%
데 26
 
2.8%
롯 26
 
2.8%
리 19
 
2.0%
이 16
 
1.7%
원 12
 
1.3%
Other values (228) 649
69.5%
Latin
ValueCountFrequency (%)
C 18
26.1%
T 13
18.8%
D 12
17.4%
G 9
13.0%
V 8
11.6%
P 2
 
2.9%
J 1
 
1.4%
S 1
 
1.4%
F 1
 
1.4%
K 1
 
1.4%
Other values (3) 3
 
4.3%
Common
ValueCountFrequency (%)
80
79.2%
) 3
 
3.0%
( 3
 
3.0%
& 3
 
3.0%
1 2
 
2.0%
9 2
 
2.0%
. 2
 
2.0%
3 2
 
2.0%
0 1
 
1.0%
- 1
 
1.0%
Other values (2) 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
84.1%
ASCII 170
 
15.4%
None 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
47.1%
C 18
 
10.6%
T 13
 
7.6%
D 12
 
7.1%
G 9
 
5.3%
V 8
 
4.7%
) 3
 
1.8%
( 3
 
1.8%
& 3
 
1.8%
1 2
 
1.2%
Other values (15) 19
 
11.2%
Hangul
ValueCountFrequency (%)
점 58
 
6.2%
스 44
 
4.7%
시 29
 
3.1%
마 28
 
3.0%
네 27
 
2.9%
데 26
 
2.8%
롯 26
 
2.8%
리 19
 
2.0%
이 16
 
1.7%
원 12
 
1.3%
Other values (227) 644
69.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%

업종명
Categorical

Distinct10
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반음식점
45 
영화상영관
35 
휴게음식점
28 
학원
5 
노래연습장
 
3
Other values (5)
10 

Length

Max length10
Median length5
Mean length5.031746
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row일반음식점
2nd row영화상영관
3rd row일반음식점
4th row학원
5th row복합유통게임제공업

Common Values

ValueCountFrequency (%)
일반음식점 45
35.7%
영화상영관 35
27.8%
휴게음식점 28
22.2%
학원 5
 
4.0%
노래연습장 3
 
2.4%
목욕장업 3
 
2.4%
가상체험 체육시설업 2
 
1.6%
인터넷게임시설제공업 2
 
1.6%
유흥주점 2
 
1.6%
복합유통게임제공업 1
 
0.8%

Length

2023-12-11T06:06:41.786532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:41.902374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 45
35.2%
영화상영관 35
27.3%
휴게음식점 28
21.9%
학원 5
 
3.9%
노래연습장 3
 
2.3%
목욕장업 3
 
2.3%
가상체험 2
 
1.6%
체육시설업 2
 
1.6%
인터넷게임시설제공업 2
 
1.6%
유흥주점 2
 
1.6%

영업주성명
Text

Distinct107
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:42.142911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3888889
Min length2

Characters and Unicode

Total characters427
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)79.4%

Sample

1st row이기성
2nd row송홍섭
3rd row삼성물산
4th row장호진
5th row황성태
ValueCountFrequency (%)
최병환 9
 
6.6%
차원천 6
 
4.4%
외 4
 
2.9%
허민회 3
 
2.2%
송호섭 2
 
1.5%
1명 2
 
1.5%
이원준 2
 
1.5%
홍정인 2
 
1.5%
조주연 2
 
1.5%
서정 2
 
1.5%
Other values (102) 102
75.0%
2023-12-11T06:06:42.499909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 20
 
4.7%
이 19
 
4.4%
원 13
 
3.0%
환 12
 
2.8%
최 11
 
2.6%
병 11
 
2.6%
정 11
 
2.6%
10
 
2.3%
민 10
 
2.3%
영 9
 
2.1%
Other values (124) 301
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
95.3%
Space Separator 10
 
2.3%
Decimal Number 5
 
1.2%
Close Punctuation 2
 
0.5%
Other Symbol 2
 
0.5%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 20
 
4.9%
이 19
 
4.7%
원 13
 
3.2%
환 12
 
2.9%
최 11
 
2.7%
병 11
 
2.7%
정 11
 
2.7%
민 10
 
2.5%
영 9
 
2.2%
재 9
 
2.2%
Other values (117) 282
69.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
95.8%
Common 18
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 20
 
4.9%
이 19
 
4.6%
원 13
 
3.2%
환 12
 
2.9%
최 11
 
2.7%
병 11
 
2.7%
정 11
 
2.7%
민 10
 
2.4%
영 9
 
2.2%
재 9
 
2.2%
Other values (118) 284
69.4%
Common
ValueCountFrequency (%)
10
55.6%
1 3
 
16.7%
) 2
 
11.1%
( 1
 
5.6%
4 1
 
5.6%
2 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
95.3%
ASCII 18
 
4.2%
None 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 20
 
4.9%
이 19
 
4.7%
원 13
 
3.2%
환 12
 
2.9%
최 11
 
2.7%
병 11
 
2.7%
정 11
 
2.7%
민 10
 
2.5%
영 9
 
2.2%
재 9
 
2.2%
Other values (117) 282
69.3%
ASCII
ValueCountFrequency (%)
10
55.6%
1 3
 
16.7%
) 2
 
11.1%
( 1
 
5.6%
4 1
 
5.6%
2 1
 
5.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

영업허가일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

지정연도
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022
72 
2023
27 
2021
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2023

Common Values

ValueCountFrequency (%)
2022 72
57.1%
2023 27
 
21.4%
2021 27
 
21.4%

Length

2023-12-11T06:06:42.611257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:42.691462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 72
57.1%
2023 27
 
21.4%
2021 27
 
21.4%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct114
Distinct (%)94.2%
Missing5
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean13963.752
Minimum10059
Maximum18611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:06:42.783090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10059
5-th percentile10503
Q111918
median13365
Q316074
95-th percentile17867
Maximum18611
Range8552
Interquartile range (IQR)4156

Descriptive statistics

Standard deviation2512.0879
Coefficient of variation (CV)0.17990063
Kurtosis-1.2489122
Mean13963.752
Median Absolute Deviation (MAD)2037
Skewness0.27266563
Sum1689614
Variance6310585.4
MonotonicityNot monotonic
2023-12-11T06:06:42.882420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11350 2
 
1.6%
14548 2
 
1.6%
14912 2
 
1.6%
11117 2
 
1.6%
13353 2
 
1.6%
18141 2
 
1.6%
12661 2
 
1.6%
12645 1
 
0.8%
17075 1
 
0.8%
17065 1
 
0.8%
Other values (104) 104
82.5%
(Missing) 5
 
4.0%
ValueCountFrequency (%)
10059 1
0.8%
10103 1
0.8%
10237 1
0.8%
10242 1
0.8%
10390 1
0.8%
10391 1
0.8%
10503 1
0.8%
10551 1
0.8%
10816 1
0.8%
10858 1
0.8%
ValueCountFrequency (%)
18611 1
0.8%
18600 1
0.8%
18405 1
0.8%
18141 2
1.6%
18102 1
0.8%
17867 1
0.8%
17846 1
0.8%
17842 1
0.8%
17808 1
0.8%
17781 1
0.8%

소재지지번주소
Text

MISSING 

Distinct120
Distinct (%)99.2%
Missing5
Missing (%)4.0%
Memory size1.1 KiB
2023-12-11T06:06:43.113773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length21.090909
Min length15

Characters and Unicode

Total characters2552
Distinct characters165
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

Unique119 ?
Unique (%)98.3%

Sample

1st row경기도 가평군 설악면 송산리 555-9번지
2nd row경기도 가평군 가평읍 대곡리 148-3번지
3rd row경기도 가평군 상면 상동리 산52번지
4th row경기도 고양시 일산서구 대화동 2602번지
5th row경기도 고양시 일산서구 탄현동 1640번지 일산위브더제니스
ValueCountFrequency (%)
경기도 121
 
21.7%
성남시 8
 
1.4%
남양주시 8
 
1.4%
평택시 7
 
1.3%
여주시 7
 
1.3%
수원시 7
 
1.3%
포천시 6
 
1.1%
군포시 6
 
1.1%
고양시 6
 
1.1%
파주시 6
 
1.1%
Other values (292) 376
67.4%
2023-12-11T06:06:43.523742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
17.1%
기 127
 
5.0%
도 125
 
4.9%
지 124
 
4.9%
경 123
 
4.8%
시 120
 
4.7%
번 120
 
4.7%
1 102
 
4.0%
동 94
 
3.7%
- 69
 
2.7%
Other values (155) 1111
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1584
62.1%
Decimal Number 462
 
18.1%
Space Separator 437
 
17.1%
Dash Punctuation 69
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 127
 
8.0%
도 125
 
7.9%
지 124
 
7.8%
경 123
 
7.8%
시 120
 
7.6%
번 120
 
7.6%
동 94
 
5.9%
리 41
 
2.6%
구 37
 
2.3%
양 33
 
2.1%
Other values (143) 640
40.4%
Decimal Number
ValueCountFrequency (%)
1 102
22.1%
4 51
11.0%
2 51
11.0%
7 40
 
8.7%
5 40
 
8.7%
0 38
 
8.2%
8 37
 
8.0%
3 36
 
7.8%
6 36
 
7.8%
9 31
 
6.7%
Space Separator
ValueCountFrequency (%)
437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1584
62.1%
Common 968
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 127
 
8.0%
도 125
 
7.9%
지 124
 
7.8%
경 123
 
7.8%
시 120
 
7.6%
번 120
 
7.6%
동 94
 
5.9%
리 41
 
2.6%
구 37
 
2.3%
양 33
 
2.1%
Other values (143) 640
40.4%
Common
ValueCountFrequency (%)
437
45.1%
1 102
 
10.5%
- 69
 
7.1%
4 51
 
5.3%
2 51
 
5.3%
7 40
 
4.1%
5 40
 
4.1%
0 38
 
3.9%
8 37
 
3.8%
3 36
 
3.7%
Other values (2) 67
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1584
62.1%
ASCII 968
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
45.1%
1 102
 
10.5%
- 69
 
7.1%
4 51
 
5.3%
2 51
 
5.3%
7 40
 
4.1%
5 40
 
4.1%
0 38
 
3.9%
8 37
 
3.8%
3 36
 
3.7%
Other values (2) 67
 
6.9%
Hangul
ValueCountFrequency (%)
기 127
 
8.0%
도 125
 
7.9%
지 124
 
7.8%
경 123
 
7.8%
시 120
 
7.6%
번 120
 
7.6%
동 94
 
5.9%
리 41
 
2.6%
구 37
 
2.3%
양 33
 
2.1%
Other values (143) 640
40.4%

소재지도로명주소
Text

MISSING 

Distinct120
Distinct (%)99.2%
Missing5
Missing (%)4.0%
Memory size1.1 KiB
2023-12-11T06:06:43.822941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length19.173554
Min length13

Characters and Unicode

Total characters2320
Distinct characters177
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

Unique119 ?
Unique (%)98.3%

Sample

1st row경기도 가평군 설악면 미사리로 267-293
2nd row경기도 가평군 가평읍 석봉로 100
3rd row경기도 가평군 상면 둔덕말길 232
4th row경기도 고양시 일산서구 호수로 817
5th row경기도 고양시 일산서구 일현로 97-11
ValueCountFrequency (%)
경기도 121
 
21.8%
성남시 8
 
1.4%
남양주시 8
 
1.4%
여주시 7
 
1.3%
수원시 7
 
1.3%
평택시 7
 
1.3%
고양시 6
 
1.1%
파주시 6
 
1.1%
포천시 6
 
1.1%
군포시 6
 
1.1%
Other values (284) 373
67.2%
2023-12-11T06:06:44.255755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
18.7%
경 131
 
5.6%
기 130
 
5.6%
도 126
 
5.4%
시 120
 
5.2%
로 109
 
4.7%
1 87
 
3.8%
2 53
 
2.3%
3 47
 
2.0%
0 42
 
1.8%
Other values (167) 1041
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1435
61.9%
Space Separator 434
 
18.7%
Decimal Number 427
 
18.4%
Dash Punctuation 24
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 131
 
9.1%
기 130
 
9.1%
도 126
 
8.8%
시 120
 
8.4%
로 109
 
7.6%
길 39
 
2.7%
구 37
 
2.6%
주 30
 
2.1%
양 29
 
2.0%
남 29
 
2.0%
Other values (155) 655
45.6%
Decimal Number
ValueCountFrequency (%)
1 87
20.4%
2 53
12.4%
3 47
11.0%
0 42
9.8%
7 41
9.6%
9 37
8.7%
6 36
8.4%
5 35
8.2%
4 30
 
7.0%
8 19
 
4.4%
Space Separator
ValueCountFrequency (%)
434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1435
61.9%
Common 885
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 131
 
9.1%
기 130
 
9.1%
도 126
 
8.8%
시 120
 
8.4%
로 109
 
7.6%
길 39
 
2.7%
구 37
 
2.6%
주 30
 
2.1%
양 29
 
2.0%
남 29
 
2.0%
Other values (155) 655
45.6%
Common
ValueCountFrequency (%)
434
49.0%
1 87
 
9.8%
2 53
 
6.0%
3 47
 
5.3%
0 42
 
4.7%
7 41
 
4.6%
9 37
 
4.2%
6 36
 
4.1%
5 35
 
4.0%
4 30
 
3.4%
Other values (2) 43
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1435
61.9%
ASCII 885
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
49.0%
1 87
 
9.8%
2 53
 
6.0%
3 47
 
5.3%
0 42
 
4.7%
7 41
 
4.6%
9 37
 
4.2%
6 36
 
4.1%
5 35
 
4.0%
4 30
 
3.4%
Other values (2) 43
 
4.9%
Hangul
ValueCountFrequency (%)
경 131
 
9.1%
기 130
 
9.1%
도 126
 
8.8%
시 120
 
8.4%
로 109
 
7.6%
길 39
 
2.7%
구 37
 
2.6%
주 30
 
2.1%
양 29
 
2.0%
남 29
 
2.0%
Other values (155) 655
45.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct120
Distinct (%)99.2%
Missing5
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean37.45905
Minimum36.996394
Maximum37.962308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:06:44.433914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.996394
5-th percentile37.037703
Q137.290348
median37.424275
Q337.666106
95-th percentile37.866639
Maximum37.962308
Range0.96591387
Interquartile range (IQR)0.37575764

Descriptive statistics

Standard deviation0.25040421
Coefficient of variation (CV)0.0066847452
Kurtosis-0.85680181
Mean37.45905
Median Absolute Deviation (MAD)0.18759201
Skewness0.08246379
Sum4532.545
Variance0.062702266
MonotonicityNot monotonic
2023-12-11T06:06:44.613802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44132988 2
 
1.6%
37.37953234 1
 
0.8%
37.25657311 1
 
0.8%
37.27502441 1
 
0.8%
37.27799636 1
 
0.8%
37.29072212 1
 
0.8%
37.23546252 1
 
0.8%
37.14420948 1
 
0.8%
37.14584263 1
 
0.8%
37.1819471 1
 
0.8%
Other values (110) 110
87.3%
(Missing) 5
 
4.0%
ValueCountFrequency (%)
36.99639414 1
0.8%
37.00542627 1
0.8%
37.00788258 1
0.8%
37.01382985 1
0.8%
37.01823943 1
0.8%
37.02031418 1
0.8%
37.0377029 1
0.8%
37.04313735 1
0.8%
37.05809589 1
0.8%
37.0710349 1
0.8%
ValueCountFrequency (%)
37.96230801 1
0.8%
37.95737196 1
0.8%
37.90647638 1
0.8%
37.89480182 1
0.8%
37.89207113 1
0.8%
37.89206513 1
0.8%
37.86663934 1
0.8%
37.85484952 1
0.8%
37.82812382 1
0.8%
37.82520044 1
0.8%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct120
Distinct (%)99.2%
Missing5
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean127.07348
Minimum126.62687
Maximum127.72659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:06:44.775028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62687
5-th percentile126.73676
Q1126.91622
median127.06505
Q3127.18831
95-th percentile127.56675
Maximum127.72659
Range1.0997277
Interquartile range (IQR)0.2720894

Descriptive statistics

Standard deviation0.24386554
Coefficient of variation (CV)0.0019190908
Kurtosis0.058582716
Mean127.07348
Median Absolute Deviation (MAD)0.1353229
Skewness0.59161617
Sum15375.891
Variance0.059470403
MonotonicityNot monotonic
2023-12-11T06:06:44.974921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.146459 2
 
1.6%
126.9724519 1
 
0.8%
127.1175081 1
 
0.8%
127.1174148 1
 
0.8%
127.1515898 1
 
0.8%
127.1967269 1
 
0.8%
127.1883127 1
 
0.8%
127.0717502 1
 
0.8%
127.0721914 1
 
0.8%
127.0370076 1
 
0.8%
Other values (110) 110
87.3%
(Missing) 5
 
4.0%
ValueCountFrequency (%)
126.6268653 1
0.8%
126.6872083 1
0.8%
126.6965636 1
0.8%
126.6976794 1
0.8%
126.7079161 1
0.8%
126.7306929 1
0.8%
126.736763 1
0.8%
126.7418504 1
0.8%
126.7444647 1
0.8%
126.7476293 1
0.8%
ValueCountFrequency (%)
127.726593 1
0.8%
127.6610454 1
0.8%
127.6459894 1
0.8%
127.6355986 1
0.8%
127.6026278 1
0.8%
127.5755381 1
0.8%
127.5667478 1
0.8%
127.5631898 1
0.8%
127.5345825 1
0.8%
127.5217762 1
0.8%

Interactions

2023-12-11T06:06:40.030946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.412500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.711406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:40.117546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.499911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.819144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:40.205464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.593434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:39.923958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:06:45.081995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업종명지정연도소재지우편번호WGS84위도WGS84경도
시군명1.0000.4600.4650.9890.9510.933
업종명0.4601.0000.0000.3680.5550.127
지정연도0.4650.0001.0000.4660.4290.000
소재지우편번호0.9890.3680.4661.0000.9070.845
WGS84위도0.9510.5550.4290.9071.0000.613
WGS84경도0.9330.1270.0000.8450.6131.000
2023-12-11T06:06:45.204432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명지정연도시군명
업종명1.0000.0000.160
지정연도0.0001.0000.235
시군명0.1600.2351.000
2023-12-11T06:06:45.315038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명업종명지정연도
소재지우편번호1.000-0.8910.0330.8360.1240.301
WGS84위도-0.8911.000-0.1030.6760.1980.276
WGS84경도0.033-0.1031.0000.6210.0300.000
시군명0.8360.6760.6211.0000.1600.235
업종명0.1240.1980.0300.1601.0000.000
지정연도0.3010.2760.0000.2350.0001.000

Missing values

2023-12-11T06:06:40.320967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:06:40.730794image/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.
2023-12-11T06:06:40.874099image/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

시군명업소명업종명영업주성명영업허가일지정연도소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군해븐지버거 카페코나퀸즈일반음식점이기성<NA>202212461경기도 가평군 설악면 송산리 555-9번지경기도 가평군 설악면 미사리로 267-29337.686494127.521776
1가평군1939시네마영화상영관송홍섭<NA>202212416경기도 가평군 가평읍 대곡리 148-3번지경기도 가평군 가평읍 석봉로 10037.8252127.513147
2가평군가평 베네스트C.C 식당일반음식점삼성물산<NA>202212443경기도 가평군 상면 상동리 산52번지경기도 가평군 상면 둔덕말길 23237.797145127.305438
3고양시현대백화점 킨텍스점 문화센터학원장호진<NA>202210391경기도 고양시 일산서구 대화동 2602번지경기도 고양시 일산서구 호수로 81737.667979126.751624
4고양시잭슨나인스 일산점복합유통게임제공업황성태<NA>202310242경기도 고양시 일산서구 탄현동 1640번지 일산위브더제니스경기도 고양시 일산서구 일현로 97-1137.69441126.762384
5고양시스타벅스 일산덕이DT점휴게음식점김혜옥<NA>202310237경기도 고양시 일산서구 덕이동 469번지경기도 고양시 일산서구 탄중로 10637.691916126.756975
6고양시현대모터스튜디오고양 키친바이해비치일반음식점오동주<NA>202210390경기도 고양시 일산서구 대화동 2601번지경기도 고양시 일산서구 킨텍스로 217-637.666106126.747629
7고양시투썸플레이스 고양원흥점휴게음식점권문중<NA>202210551경기도 고양시 덕양구 도내동 958번지경기도 고양시 덕양구 도래울로 10337.634877126.871289
8고양시버거킹 화정점휴게음식점이동형<NA>202310503경기도 고양시 덕양구 화정동 1002번지경기도 고양시 덕양구 화중로 3837.630642126.83056
9고양시메가박스 고양스타필드점영화상영관홍정인<NA>2023<NA><NA><NA><NA><NA>
시군명업소명업종명영업주성명영업허가일지정연도소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
116포천시카페베네 포천일동점휴게음식점김은영<NA>202311117경기도 포천시 일동면 기산리 91-167번지경기도 포천시 일동면 화동로 105437.957372127.317833
117포천시맘스터치 대진대점일반음식점어은영<NA>202211161경기도 포천시 선단동 89-15번지경기도 포천시 호국로 1007-1537.85485127.166035
118포천시탑클래스가상체험 체육시설업윤영미<NA>202211184경기도 포천시 소흘읍 이동교리 150-6번지경기도 포천시 소흘읍 호국로523번길 737.819106127.136427
119포천시싸릿재컨벤션일반음식점어원준<NA>202211117경기도 포천시 일동면 화대리 800-3번지경기도 포천시 일동면 화동로 111837.962308127.321726
120하남시베티나르디일반음식점이길화<NA>202212925경기도 하남시 덕풍동 26-11번지경기도 하남시 미사대로 590-737.554469127.209327
121하남시스타벅스 하남시청점휴게음식점이석구<NA>2021<NA><NA><NA><NA><NA>
122하남시송추가마골 하남미사점일반음식점김민재<NA>202112922경기도 하남시 망월동 1149번지경기도 하남시 미사대로 43837.564961127.198687
123화성시포메인 향남점일반음식점김윤용<NA>202218600경기도 화성시 향남읍 행정리 487-3번지경기도 화성시 향남읍 발안로 11637.131031126.922901
124화성시롯데시네마 향남관영화상영관기원규<NA>202118611경기도 화성시 향남읍 하길리 1470-2번지경기도 화성시 향남읍 상신하길로298번길 7-2137.11516126.912464
125화성시롯데쇼핑㈜ 롯데시네마 병점영화상영관이원준 외 2명<NA>202118405경기도 화성시 병점동 844-1번지경기도 화성시 효행로 105237.213932127.042481