Overview

Dataset statistics

Number of variables13
Number of observations107
Missing cells6
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory109.2 B

Variable types

Text4
Categorical5
Numeric2
Boolean1
DateTime1

Dataset

Description여성안심지킴이집(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ZESFY6I0RPQ9OA61B0XS29014514&infSeq=1

Alerts

시도명 has constant value ""Constant
지정연도 has constant value ""Constant
시군구명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
관할경찰서명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
시군구코드 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
운영여부 is highly imbalanced (86.6%)Imbalance
여성안심지킴이집전화번호 has 5 (4.7%) missing valuesMissing
점포명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-05-17 19:32:37.102993
Analysis finished2024-05-17 19:32:40.415084
Duration3.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

점포명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-18T04:32:40.678880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.9158879
Min length5

Characters and Unicode

Total characters1061
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row25시편의점김포고촌점
2nd rowAM&PM
3rd rowCU 과천래미안점
4th rowCU 금파대림점
5th rowCU 부림점
ValueCountFrequency (%)
세븐일레븐 6
 
4.8%
gs25 6
 
4.8%
cu 5
 
4.0%
중앙점 2
 
1.6%
pop스토어 1
 
0.8%
김포양곡점 1
 
0.8%
김포신곡공원점 1
 
0.8%
세브일레븐풍무당곡점 1
 
0.8%
미니스톱안성원곡점 1
 
0.8%
미니스톱김포율생점 1
 
0.8%
Other values (101) 101
80.2%
2024-05-18T04:32:41.669547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 103
 
9.7%
븐 55
 
5.2%
포 40
 
3.8%
2 38
 
3.6%
김 37
 
3.5%
5 34
 
3.2%
G 33
 
3.1%
S 33
 
3.1%
C 33
 
3.1%
U 33
 
3.1%
Other values (159) 622
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
75.2%
Uppercase Letter 139
 
13.1%
Decimal Number 76
 
7.2%
Space Separator 19
 
1.8%
Close Punctuation 12
 
1.1%
Open Punctuation 12
 
1.1%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 103
 
12.9%
븐 55
 
6.9%
포 40
 
5.0%
김 37
 
4.6%
일 30
 
3.8%
세 28
 
3.5%
레 28
 
3.5%
원 15
 
1.9%
과 14
 
1.8%
천 14
 
1.8%
Other values (138) 434
54.4%
Uppercase Letter
ValueCountFrequency (%)
G 33
23.7%
S 33
23.7%
C 33
23.7%
U 33
23.7%
P 3
 
2.2%
M 2
 
1.4%
O 1
 
0.7%
A 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 38
50.0%
5 34
44.7%
4 2
 
2.6%
3 1
 
1.3%
1 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
75.2%
Latin 142
 
13.4%
Common 121
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 103
 
12.9%
븐 55
 
6.9%
포 40
 
5.0%
김 37
 
4.6%
일 30
 
3.8%
세 28
 
3.5%
레 28
 
3.5%
원 15
 
1.9%
과 14
 
1.8%
천 14
 
1.8%
Other values (138) 434
54.4%
Latin
ValueCountFrequency (%)
G 33
23.2%
S 33
23.2%
C 33
23.2%
U 33
23.2%
P 3
 
2.1%
M 2
 
1.4%
O 1
 
0.7%
p 1
 
0.7%
m 1
 
0.7%
a 1
 
0.7%
Common
ValueCountFrequency (%)
2 38
31.4%
5 34
28.1%
19
15.7%
) 12
 
9.9%
( 12
 
9.9%
4 2
 
1.7%
; 1
 
0.8%
& 1
 
0.8%
3 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
75.2%
ASCII 263
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 103
 
12.9%
븐 55
 
6.9%
포 40
 
5.0%
김 37
 
4.6%
일 30
 
3.8%
세 28
 
3.5%
레 28
 
3.5%
원 15
 
1.9%
과 14
 
1.8%
천 14
 
1.8%
Other values (138) 434
54.4%
ASCII
ValueCountFrequency (%)
2 38
14.4%
5 34
12.9%
G 33
12.5%
S 33
12.5%
C 33
12.5%
U 33
12.5%
19
7.2%
) 12
 
4.6%
( 12
 
4.6%
P 3
 
1.1%
Other values (11) 13
 
4.9%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
경기도
107 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 107
100.0%

Length

2024-05-18T04:32:41.999100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:32:42.268853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 107
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
김포시
83 
과천시
19 
안성시
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김포시
2nd row김포시
3rd row과천시
4th row김포시
5th row과천시

Common Values

ValueCountFrequency (%)
김포시 83
77.6%
과천시 19
 
17.8%
안성시 5
 
4.7%

Length

2024-05-18T04:32:42.542277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:32:42.809381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김포시 83
77.6%
과천시 19
 
17.8%
안성시 5
 
4.7%

시군구코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
41570
83 
41290
19 
41550
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41570
2nd row41570
3rd row41290
4th row41570
5th row41290

Common Values

ValueCountFrequency (%)
41570 83
77.6%
41290 19
 
17.8%
41550 5
 
4.7%

Length

2024-05-18T04:32:43.052288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:32:43.299683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41570 83
77.6%
41290 19
 
17.8%
41550 5
 
4.7%

소재지도로명주소
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-18T04:32:43.902052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length21.542056
Min length13

Characters and Unicode

Total characters2305
Distinct characters133
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 고촌읍 김포대로 327(신곡리 574)
2nd row경기도 김포시 고촌읍 인향로24번길 66-22
3rd row경기도 과천시 관문로 161, 래미안 에코팰리스 상가2호
4th row경기도 김포시 김포대로926번길 88-36
5th row경기도 과천시 부림로 21
ValueCountFrequency (%)
경기도 107
21.4%
김포시 83
 
16.6%
과천시 19
 
3.8%
양촌읍 11
 
2.2%
고촌읍 11
 
2.2%
통진읍 9
 
1.8%
월곶면 6
 
1.2%
하성면 6
 
1.2%
안성시 5
 
1.0%
김포대로 5
 
1.0%
Other values (206) 239
47.7%
2024-05-18T04:32:44.887889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
17.1%
포 111
 
4.8%
도 110
 
4.8%
기 110
 
4.8%
1 109
 
4.7%
경 107
 
4.6%
시 107
 
4.6%
김 106
 
4.6%
로 103
 
4.5%
2 81
 
3.5%
Other values (123) 967
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1359
59.0%
Decimal Number 472
 
20.5%
Space Separator 394
 
17.1%
Dash Punctuation 32
 
1.4%
Open Punctuation 18
 
0.8%
Close Punctuation 18
 
0.8%
Other Punctuation 11
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 111
 
8.2%
도 110
 
8.1%
기 110
 
8.1%
경 107
 
7.9%
시 107
 
7.9%
김 106
 
7.8%
로 103
 
7.6%
길 34
 
2.5%
읍 32
 
2.4%
번 30
 
2.2%
Other values (107) 509
37.5%
Decimal Number
ValueCountFrequency (%)
1 109
23.1%
2 81
17.2%
3 50
10.6%
5 47
10.0%
4 38
 
8.1%
0 34
 
7.2%
6 33
 
7.0%
7 28
 
5.9%
8 26
 
5.5%
9 26
 
5.5%
Space Separator
ValueCountFrequency (%)
394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1359
59.0%
Common 945
41.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 111
 
8.2%
도 110
 
8.1%
기 110
 
8.1%
경 107
 
7.9%
시 107
 
7.9%
김 106
 
7.8%
로 103
 
7.6%
길 34
 
2.5%
읍 32
 
2.4%
번 30
 
2.2%
Other values (107) 509
37.5%
Common
ValueCountFrequency (%)
394
41.7%
1 109
 
11.5%
2 81
 
8.6%
3 50
 
5.3%
5 47
 
5.0%
4 38
 
4.0%
0 34
 
3.6%
6 33
 
3.5%
- 32
 
3.4%
7 28
 
3.0%
Other values (5) 99
 
10.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1359
59.0%
ASCII 946
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
41.6%
1 109
 
11.5%
2 81
 
8.6%
3 50
 
5.3%
5 47
 
5.0%
4 38
 
4.0%
0 34
 
3.6%
6 33
 
3.5%
- 32
 
3.4%
7 28
 
3.0%
Other values (6) 100
 
10.6%
Hangul
ValueCountFrequency (%)
포 111
 
8.2%
도 110
 
8.1%
기 110
 
8.1%
경 107
 
7.9%
시 107
 
7.9%
김 106
 
7.8%
로 103
 
7.6%
길 34
 
2.5%
읍 32
 
2.4%
번 30
 
2.2%
Other values (107) 509
37.5%

소재지지번주소
Text

Distinct105
Distinct (%)99.1%
Missing1
Missing (%)0.9%
Memory size988.0 B
2024-05-18T04:32:45.300253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length22.5
Min length15

Characters and Unicode

Total characters2385
Distinct characters135
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row경기도 김포시 고촌읍 신곡리 574-4번지
2nd row경기도 김포시 고촌읍 신곡리 577-21번지 디아이빌4단지
3rd row경기도 과천시 중앙동 74 삼성래미안11단지 상가 2호
4th row경기도 김포시 북변동 808번지 풍년마을대림아파트
5th row경기도 과천시 부림동 36-3
ValueCountFrequency (%)
경기도 106
20.8%
김포시 82
 
16.1%
과천시 19
 
3.7%
고촌읍 11
 
2.2%
양촌읍 10
 
2.0%
신곡리 9
 
1.8%
통진읍 9
 
1.8%
장기동 9
 
1.8%
사우동 7
 
1.4%
하성면 6
 
1.2%
Other values (182) 241
47.3%
2024-05-18T04:32:46.137526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
16.9%
기 115
 
4.8%
도 111
 
4.7%
1 110
 
4.6%
시 109
 
4.6%
경 106
 
4.4%
지 92
 
3.9%
번 87
 
3.6%
포 87
 
3.6%
김 82
 
3.4%
Other values (125) 1083
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1440
60.4%
Decimal Number 463
 
19.4%
Space Separator 403
 
16.9%
Dash Punctuation 77
 
3.2%
Uppercase Letter 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 115
 
8.0%
도 111
 
7.7%
시 109
 
7.6%
경 106
 
7.4%
지 92
 
6.4%
번 87
 
6.0%
포 87
 
6.0%
김 82
 
5.7%
동 58
 
4.0%
리 52
 
3.6%
Other values (111) 541
37.6%
Decimal Number
ValueCountFrequency (%)
1 110
23.8%
4 54
11.7%
2 51
11.0%
5 44
 
9.5%
3 43
 
9.3%
9 37
 
8.0%
8 36
 
7.8%
7 33
 
7.1%
0 33
 
7.1%
6 22
 
4.8%
Space Separator
ValueCountFrequency (%)
403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1440
60.4%
Common 943
39.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 115
 
8.0%
도 111
 
7.7%
시 109
 
7.6%
경 106
 
7.4%
지 92
 
6.4%
번 87
 
6.0%
포 87
 
6.0%
김 82
 
5.7%
동 58
 
4.0%
리 52
 
3.6%
Other values (111) 541
37.6%
Common
ValueCountFrequency (%)
403
42.7%
1 110
 
11.7%
- 77
 
8.2%
4 54
 
5.7%
2 51
 
5.4%
5 44
 
4.7%
3 43
 
4.6%
9 37
 
3.9%
8 36
 
3.8%
7 33
 
3.5%
Other values (2) 55
 
5.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1440
60.4%
ASCII 945
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
42.6%
1 110
 
11.6%
- 77
 
8.1%
4 54
 
5.7%
2 51
 
5.4%
5 44
 
4.7%
3 43
 
4.6%
9 37
 
3.9%
8 36
 
3.8%
7 33
 
3.5%
Other values (4) 57
 
6.0%
Hangul
ValueCountFrequency (%)
기 115
 
8.0%
도 111
 
7.7%
시 109
 
7.6%
경 106
 
7.4%
지 92
 
6.4%
번 87
 
6.0%
포 87
 
6.0%
김 82
 
5.7%
동 58
 
4.0%
리 52
 
3.6%
Other values (111) 541
37.6%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.581705
Minimum37.001509
Maximum37.728691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-18T04:32:46.524845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.001509
5-th percentile37.421771
Q137.598332
median37.625156
Q337.656123
95-th percentile37.709889
Maximum37.728691
Range0.72718159
Interquartile range (IQR)0.05779006

Descriptive statistics

Standard deviation0.14935434
Coefficient of variation (CV)0.0039741237
Kurtosis6.2115227
Mean37.581705
Median Absolute Deviation (MAD)0.03020769
Skewness-2.3879385
Sum4021.2424
Variance0.02230672
MonotonicityNot monotonic
2024-05-18T04:32:46.901656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60004724 1
 
0.9%
37.61346201 1
 
0.9%
37.64504705 1
 
0.9%
37.6553635 1
 
0.9%
37.60154245 1
 
0.9%
37.60046051 1
 
0.9%
37.040474162 1
 
0.9%
37.6512776 1
 
0.9%
37.70976122 1
 
0.9%
37.64261253 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
37.0015094386 1
0.9%
37.0024391 1
0.9%
37.040474162 1
0.9%
37.0638206 1
0.9%
37.07532181 1
0.9%
37.4211855 1
0.9%
37.42313578 1
0.9%
37.42437611 1
0.9%
37.42698503 1
0.9%
37.42828534 1
0.9%
ValueCountFrequency (%)
37.72869103 1
0.9%
37.7245115 1
0.9%
37.71898619 1
0.9%
37.71641934 1
0.9%
37.71118945 1
0.9%
37.70994421 1
0.9%
37.70976122 1
0.9%
37.70413564 1
0.9%
37.70291178 1
0.9%
37.69874807 1
0.9%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.75162
Minimum126.5329
Maximum127.42362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-18T04:32:47.326794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5329
5-th percentile126.56316
Q1126.62714
median126.7034
Q3126.77184
95-th percentile127.03319
Maximum127.42362
Range0.8907248
Interquartile range (IQR)0.1447003

Descriptive statistics

Standard deviation0.17821137
Coefficient of variation (CV)0.0014059889
Kurtosis1.3036726
Mean126.75162
Median Absolute Deviation (MAD)0.0743814
Skewness1.3287228
Sum13562.423
Variance0.031759294
MonotonicityNot monotonic
2024-05-18T04:32:47.804736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7711041 1
 
0.9%
126.7244221 1
 
0.9%
126.6725194 1
 
0.9%
126.6299507 1
 
0.9%
126.7712615 1
 
0.9%
126.718609 1
 
0.9%
127.1292440376 1
 
0.9%
126.5829872 1
 
0.9%
126.625674 1
 
0.9%
126.6794185 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
126.5328953 1
0.9%
126.5374061 1
0.9%
126.5536581 1
0.9%
126.5557528 1
0.9%
126.5572568 1
0.9%
126.560108 1
0.9%
126.5702802 1
0.9%
126.5769971 1
0.9%
126.579644 1
0.9%
126.5829872 1
0.9%
ValueCountFrequency (%)
127.4236201 1
0.9%
127.2206999 1
0.9%
127.1965928 1
0.9%
127.1695965 1
0.9%
127.1292440376 1
0.9%
127.0345288 1
0.9%
127.030062 1
0.9%
127.0281101 1
0.9%
127.0140984 1
0.9%
127.0098993 1
0.9%

여성안심지킴이집전화번호
Text

MISSING 

Distinct102
Distinct (%)100.0%
Missing5
Missing (%)4.7%
Memory size988.0 B
2024-05-18T04:32:48.420427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.833333
Min length9

Characters and Unicode

Total characters1207
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 (%)100.0%

Sample

1st row031-986-1106
2nd row02-3679-1104
3rd row031-996-3383
4th row02-507-0334
5th row031-989-1389
ValueCountFrequency (%)
02-502-0862 1
 
1.0%
031-988-2707 1
 
1.0%
031-981-5919 1
 
1.0%
031-657-7279 1
 
1.0%
031-987-9958 1
 
1.0%
031-996-4799 1
 
1.0%
031-998-1977 1
 
1.0%
031-986-3120 1
 
1.0%
1577-9621 1
 
1.0%
031-982-3077 1
 
1.0%
Other values (92) 92
90.2%
2024-05-18T04:32:49.493483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 202
16.7%
0 155
12.8%
9 151
12.5%
1 146
12.1%
3 134
11.1%
8 121
10.0%
2 70
 
5.8%
7 69
 
5.7%
6 64
 
5.3%
5 59
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1005
83.3%
Dash Punctuation 202
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
15.4%
9 151
15.0%
1 146
14.5%
3 134
13.3%
8 121
12.0%
2 70
7.0%
7 69
6.9%
6 64
6.4%
5 59
 
5.9%
4 36
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 202
16.7%
0 155
12.8%
9 151
12.5%
1 146
12.1%
3 134
11.1%
8 121
10.0%
2 70
 
5.8%
7 69
 
5.7%
6 64
 
5.3%
5 59
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 202
16.7%
0 155
12.8%
9 151
12.5%
1 146
12.1%
3 134
11.1%
8 121
10.0%
2 70
 
5.8%
7 69
 
5.7%
6 64
 
5.3%
5 59
 
4.9%

관할경찰서명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
과천경찰서
19 
사우지구대
15 
양촌지구대
14 
장기지구대
12 
고촌파출소
9 
Other values (7)
38 

Length

Max length8
Median length5
Mean length5.0560748
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고촌파출소
2nd row고촌파출소
3rd row과천경찰서
4th row사우지구대
5th row과천경찰서

Common Values

ValueCountFrequency (%)
과천경찰서 19
17.8%
사우지구대 15
14.0%
양촌지구대 14
13.1%
장기지구대 12
11.2%
고촌파출소 9
8.4%
통진파출소 9
8.4%
월곶파출소 6
 
5.6%
하성파출소 6
 
5.6%
풍무파출소 6
 
5.6%
안성경찰서 5
 
4.7%
Other values (2) 6
 
5.6%

Length

2024-05-18T04:32:49.938788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과천경찰서 19
17.8%
사우지구대 15
14.0%
양촌지구대 14
13.1%
장기지구대 12
11.2%
고촌파출소 9
8.4%
통진파출소 9
8.4%
월곶파출소 6
 
5.6%
하성파출소 6
 
5.6%
풍무파출소 6
 
5.6%
안성경찰서 5
 
4.7%
Other values (2) 6
 
5.6%

지정연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
2017
107 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 107
100.0%

Length

2024-05-18T04:32:50.314722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:32:50.646854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 107
100.0%

운영여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size239.0 B
True
105 
False
 
2
ValueCountFrequency (%)
True 105
98.1%
False 2
 
1.9%
2024-05-18T04:32:50.901916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2023-11-14 00:00:00
Maximum2024-01-18 00:00:00
2024-05-18T04:32:51.199951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:32:51.580231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

Interactions

2024-05-18T04:32:38.679041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:32:38.128546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:32:38.951777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:32:38.391757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T04:32:51.821817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명시군구코드위도경도관할경찰서명운영여부데이터기준일자
시군구명1.0001.0001.0001.0001.0000.0001.000
시군구코드1.0001.0001.0001.0001.0000.0001.000
위도1.0001.0001.0000.9140.9600.0001.000
경도1.0001.0000.9141.0000.8980.0001.000
관할경찰서명1.0001.0000.9600.8981.0000.1611.000
운영여부0.0000.0000.0000.0000.1611.0000.000
데이터기준일자1.0001.0001.0001.0001.0000.0001.000
2024-05-18T04:32:52.064376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관할경찰서명시군구코드운영여부
시군구명1.0000.9561.0000.000
관할경찰서명0.9561.0000.9560.115
시군구코드1.0000.9561.0000.000
운영여부0.0000.1150.0001.000
2024-05-18T04:32:52.328003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명시군구코드관할경찰서명운영여부
위도1.000-0.9140.9850.9850.6940.000
경도-0.9141.0000.9810.9810.7120.000
시군구명0.9850.9811.0001.0000.9560.000
시군구코드0.9850.9811.0001.0000.9560.000
관할경찰서명0.6940.7120.9560.9561.0000.115
운영여부0.0000.0000.0000.0000.1151.000

Missing values

2024-05-18T04:32:39.475165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T04:32:39.945045image/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.
2024-05-18T04:32:40.225955image/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

점포명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도여성안심지킴이집전화번호관할경찰서명지정연도운영여부데이터기준일자
025시편의점김포고촌점경기도김포시41570경기도 김포시 고촌읍 김포대로 327(신곡리 574)경기도 김포시 고촌읍 신곡리 574-4번지37.600047126.771104031-986-1106고촌파출소2017Y2023-11-14
1AM&amp;PM경기도김포시41570경기도 김포시 고촌읍 인향로24번길 66-22경기도 김포시 고촌읍 신곡리 577-21번지 디아이빌4단지37.600344126.769537<NA>고촌파출소2017Y2023-11-14
2CU 과천래미안점경기도과천시41290경기도 과천시 관문로 161, 래미안 에코팰리스 상가2호경기도 과천시 중앙동 74 삼성래미안11단지 상가 2호37.435514126.99449702-3679-1104과천경찰서2017Y2024-01-18
3CU 금파대림점경기도김포시41570경기도 김포시 김포대로926번길 88-36경기도 김포시 북변동 808번지 풍년마을대림아파트37.623056126.71676031-996-3383사우지구대2017Y2023-11-14
4CU 부림점경기도과천시41290경기도 과천시 부림로 21경기도 과천시 부림동 36-337.438035126.99819902-507-0334과천경찰서2017Y2024-01-18
5CU 양곡빌리지점경기도김포시41570경기도 김포시 양촌읍 양곡2로 30번길 29경기도 김포시 양촌읍 양곡리 1312-18번지37.653893126.629023031-989-1389양촌지구대2017Y2023-11-14
6CU 중앙점경기도과천시41290경기도 과천시 중앙로 131, 현대빌딩 104경기도 과천시 중앙동 40-11 현대빌딩 10437.428362126.99137702-503-5679과천경찰서2017Y2024-01-18
7CU고촌신곡점경기도김포시41570경기도 김포시 고촌읍 신곡로3번길 34-3경기도 김포시 고촌읍 신곡리 1133번지37.603482126.773241031-986-1677고촌파출소2017Y2023-11-14
8CU고촌행복점경기도김포시41570경기도 김포시 고촌읍 장차로 30경기도 김포시 고촌읍 신곡리 489-34번지37.604643126.771278031-997-6933고촌파출소2017Y2023-11-14
9CU과천공원점경기도과천시41290경기도 과천시 별양상가1로 31, 제일상가 104경기도 과천시 별양동 1-3 제일상가 10437.428712126.99318602-503-0585과천경찰서2017Y2024-01-18
점포명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도여성안심지킴이집전화번호관할경찰서명지정연도운영여부데이터기준일자
97세븐일레븐롯데리아건물(사우동)경기도김포시41570경기도 김포시 사우중로92(사우동 872)경기도 김포시 사우동 872번지37.622434126.721755031-981-0125사우지구대2017Y2023-11-14
98세븐일레븐송마리점경기도김포시41570경기도 김포시 대곶면 율생중앙로 127(송마리 72-1)경기도 김포시 대곶면 송마리 72-1번지37.657502126.576997031-982-2639대곶파출소2017Y2023-11-14
99세븐일레븐월곶점경기도김포시41570경기도 김포시 월곶면 김포대학로 4경기도 김포시 월곶면 포내리 79-27번지37.724511126.537406031-989-7843월곶파출소2017Y2023-11-14
100세븐일레븐통진행복점경기도김포시41570경기도 김포시 통진읍 율마로450번길 6-22경기도 김포시 통진읍 마송리 571-7번지37.688881126.604088031-982-7370통진파출소2017Y2023-11-14
101세븐일레븐풍곡본점경기도김포시41570경기도 김포시 고촌읍 장곡로 54경기도 김포시 고촌읍 풍곡리 485-19번지37.606892126.749519031-997-3205고촌파출소2017Y2023-11-14
102세븐일레븐하성무지개점경기도김포시41570경기도 김포시 하성면 하성로 496경기도 김포시 하성면 마곡리 588-1번지37.718986126.635667031-982-3197하성파출소2017Y2023-11-14
103세븐일레븐현대아파트(사우현대점)경기도김포시41570경기도 김포시 사우로12경기도 김포시 사우동 911번지 풍년마을현대아파트37.620839126.72253<NA>사우지구대2017Y2023-11-14
104이마트24 안성공도점경기도안성시41550경기도 안성시 공도읍 공도1로 42경기도 안성시 공도읍 만정리 797-1번지37.002439127.169596031-657-6662안성경찰서2017Y2023-12-12
105이마트24김포마송점경기도김포시41570경기도 김포시 통진읍 조강로49-1경기도 김포시 통진읍 마송리 104-10번지37.69024126.599923031-984-7056통진파출소2017Y2023-11-14
106팝스토어신곡리점경기도김포시41570경기도 김포시 고촌읍 김포대로 313경기도 김포시 고촌읍 신곡리 583-3번지37.599069126.772401031-986-1881김포터미널파출소2017Y2023-11-14