Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells2528
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory132.0 B

Variable types

Text5
Categorical6
Numeric3
DateTime1

Alerts

시도명 has constant value ""Constant
금연구역지정근거명 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
위반신고전화번호 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
위반과태료 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
관리기관명 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
금연구역지정근거명 is highly imbalanced (70.5%)Imbalance
위반과태료 is highly imbalanced (75.3%)Imbalance
금연구역면적 has 2091 (20.9%) missing valuesMissing
소재지도로명주소 has 390 (3.9%) missing valuesMissing
금연구역면적 is highly skewed (γ1 = 40.66548691)Skewed
금연구역면적 has 501 (5.0%) zerosZeros

Reproduction

Analysis started2024-05-10 21:30:34.350357
Analysis finished2024-05-10 21:30:44.053695
Duration9.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

금연구역명
Text

Distinct9707
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:30:44.541223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length7.9522
Min length1

Characters and Unicode

Total characters79522
Distinct characters1102
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9492 ?
Unique (%)94.9%

Sample

1st row향남아이비어린이집 놀이터
2nd row팔팔회포차
3rd row산이랑
4th row블랙시드
5th row카페천국 송탄점
ValueCountFrequency (%)
놀이터 96
 
0.7%
경로당 87
 
0.6%
제1종근린생활시설 40
 
0.3%
세븐일레븐 40
 
0.3%
앞 38
 
0.3%
카페 36
 
0.3%
씨유 35
 
0.3%
의정부점 35
 
0.3%
제2종근린생활시설 32
 
0.2%
병설유치원 31
 
0.2%
Other values (10913) 13106
96.5%
2024-05-10T21:30:45.793105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3586
 
4.5%
이 2523
 
3.2%
점 1583
 
2.0%
원 1546
 
1.9%
스 1070
 
1.3%
어 1065
 
1.3%
리 995
 
1.3%
) 962
 
1.2%
( 960
 
1.2%
린 946
 
1.2%
Other values (1092) 64286
80.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67074
84.3%
Space Separator 3586
 
4.5%
Decimal Number 2709
 
3.4%
Uppercase Letter 1742
 
2.2%
Lowercase Letter 1609
 
2.0%
Close Punctuation 1022
 
1.3%
Open Punctuation 1020
 
1.3%
Other Punctuation 345
 
0.4%
Dash Punctuation 214
 
0.3%
Other Symbol 171
 
0.2%
Other values (6) 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2523
 
3.8%
점 1583
 
2.4%
원 1546
 
2.3%
스 1070
 
1.6%
어 1065
 
1.6%
리 995
 
1.5%
린 946
 
1.4%
아 857
 
1.3%
집 800
 
1.2%
학 775
 
1.2%
Other values (1003) 54914
81.9%
Lowercase Letter
ValueCountFrequency (%)
a 232
14.4%
e 215
13.4%
m 127
 
7.9%
p 125
 
7.8%
o 112
 
7.0%
c 84
 
5.2%
n 79
 
4.9%
i 77
 
4.8%
f 69
 
4.3%
r 63
 
3.9%
Other values (16) 426
26.5%
Uppercase Letter
ValueCountFrequency (%)
C 219
 
12.6%
P 145
 
8.3%
S 144
 
8.3%
G 117
 
6.7%
A 106
 
6.1%
E 100
 
5.7%
B 89
 
5.1%
O 81
 
4.6%
T 73
 
4.2%
I 72
 
4.1%
Other values (16) 596
34.2%
Decimal Number
ValueCountFrequency (%)
1 609
22.5%
2 571
21.1%
5 283
10.4%
0 278
10.3%
3 243
 
9.0%
4 217
 
8.0%
7 136
 
5.0%
6 132
 
4.9%
9 126
 
4.7%
8 114
 
4.2%
Other Punctuation
ValueCountFrequency (%)
; 92
26.7%
& 89
25.8%
. 80
23.2%
, 52
15.1%
/ 13
 
3.8%
· 7
 
2.0%
? 6
 
1.7%
: 4
 
1.2%
＆ 2
 
0.6%
Other Symbol
ValueCountFrequency (%)
㈜ 169
98.8%
℉ 1
 
0.6%
㈆ 1
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 962
94.1%
] 60
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 960
94.1%
[ 60
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
~ 2
40.0%
Space Separator
ValueCountFrequency (%)
3586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67216
84.5%
Common 8920
 
11.2%
Latin 3358
 
4.2%
Han 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2523
 
3.8%
점 1583
 
2.4%
원 1546
 
2.3%
스 1070
 
1.6%
어 1065
 
1.6%
리 995
 
1.5%
린 946
 
1.4%
아 857
 
1.3%
집 800
 
1.2%
학 775
 
1.2%
Other values (982) 55056
81.9%
Latin
ValueCountFrequency (%)
a 232
 
6.9%
C 219
 
6.5%
e 215
 
6.4%
P 145
 
4.3%
S 144
 
4.3%
m 127
 
3.8%
p 125
 
3.7%
G 117
 
3.5%
o 112
 
3.3%
A 106
 
3.2%
Other values (45) 1816
54.1%
Common
ValueCountFrequency (%)
3586
40.2%
) 962
 
10.8%
( 960
 
10.8%
1 609
 
6.8%
2 571
 
6.4%
5 283
 
3.2%
0 278
 
3.1%
3 243
 
2.7%
4 217
 
2.4%
- 214
 
2.4%
Other values (22) 997
 
11.2%
Han
ValueCountFrequency (%)
家 3
 
10.7%
辛 2
 
7.1%
二 2
 
7.1%
情 2
 
7.1%
使 1
 
3.6%
曠 1
 
3.6%
李 1
 
3.6%
安 1
 
3.6%
貴 1
 
3.6%
人 1
 
3.6%
Other values (13) 13
46.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67044
84.3%
ASCII 12245
 
15.4%
None 179
 
0.2%
CJK 27
 
< 0.1%
Punctuation 16
 
< 0.1%
Number Forms 7
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3586
29.3%
) 962
 
7.9%
( 960
 
7.8%
1 609
 
5.0%
2 571
 
4.7%
5 283
 
2.3%
0 278
 
2.3%
3 243
 
2.0%
a 232
 
1.9%
C 219
 
1.8%
Other values (69) 4302
35.1%
Hangul
ValueCountFrequency (%)
이 2523
 
3.8%
점 1583
 
2.4%
원 1546
 
2.3%
스 1070
 
1.6%
어 1065
 
1.6%
리 995
 
1.5%
린 946
 
1.4%
아 857
 
1.3%
집 800
 
1.2%
학 775
 
1.2%
Other values (979) 54884
81.9%
None
ValueCountFrequency (%)
㈜ 169
94.4%
· 7
 
3.9%
＆ 2
 
1.1%
㈆ 1
 
0.6%
Punctuation
ValueCountFrequency (%)
’ 9
56.2%
‘ 7
43.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅲ 1
 
14.3%
CJK
ValueCountFrequency (%)
家 3
 
11.1%
辛 2
 
7.4%
二 2
 
7.4%
情 2
 
7.4%
使 1
 
3.7%
曠 1
 
3.7%
安 1
 
3.7%
貴 1
 
3.7%
人 1
 
3.7%
空 1
 
3.7%
Other values (12) 12
44.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℉ 1
100.0%

금연구역범위상세
Text

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:30:46.253603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length4
Mean length5.29
Min length2

Characters and Unicode

Total characters52900
Distinct characters98
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

Unique6 ?
Unique (%)0.1%

Sample

1st row부지전체
2nd row시설전체
3rd row시설전체
4th row전체
5th row시설전체
ValueCountFrequency (%)
시설전체 5126
32.9%
전체 3627
23.3%
건물 873
 
5.6%
내 678
 
4.4%
흡연실 521
 
3.3%
설치 521
 
3.3%
가능 521
 
3.3%
금연(실내외 519
 
3.3%
별도 519
 
3.3%
시설 369
 
2.4%
Other values (72) 2295
14.7%
2024-05-10T21:30:47.094553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 8949
16.9%
체 8949
16.9%
설 6051
11.4%
5569
10.5%
시 5559
10.5%
내 1769
 
3.3%
연 1185
 
2.2%
실 1058
 
2.0%
물 985
 
1.9%
건 985
 
1.9%
Other values (88) 11841
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45076
85.2%
Space Separator 5569
 
10.5%
Decimal Number 731
 
1.4%
Close Punctuation 552
 
1.0%
Open Punctuation 552
 
1.0%
Lowercase Letter 353
 
0.7%
Math Symbol 35
 
0.1%
Uppercase Letter 23
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 8949
19.9%
체 8949
19.9%
설 6051
13.4%
시 5559
12.3%
내 1769
 
3.9%
연 1185
 
2.6%
실 1058
 
2.3%
물 985
 
2.2%
건 985
 
2.2%
금 664
 
1.5%
Other values (77) 8922
19.8%
Decimal Number
ValueCountFrequency (%)
0 355
48.6%
1 261
35.7%
5 115
 
15.7%
Lowercase Letter
ValueCountFrequency (%)
m 332
94.1%
ｍ 21
 
5.9%
Space Separator
ValueCountFrequency (%)
5569
100.0%
Close Punctuation
ValueCountFrequency (%)
) 552
100.0%
Open Punctuation
ValueCountFrequency (%)
( 552
100.0%
Math Symbol
ValueCountFrequency (%)
+ 35
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45076
85.2%
Common 7448
 
14.1%
Latin 376
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 8949
19.9%
체 8949
19.9%
설 6051
13.4%
시 5559
12.3%
내 1769
 
3.9%
연 1185
 
2.6%
실 1058
 
2.3%
물 985
 
2.2%
건 985
 
2.2%
금 664
 
1.5%
Other values (77) 8922
19.8%
Common
ValueCountFrequency (%)
5569
74.8%
) 552
 
7.4%
( 552
 
7.4%
0 355
 
4.8%
1 261
 
3.5%
5 115
 
1.5%
+ 35
 
0.5%
, 9
 
0.1%
Latin
ValueCountFrequency (%)
m 332
88.3%
M 23
 
6.1%
ｍ 21
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45076
85.2%
ASCII 7803
 
14.8%
None 21
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 8949
19.9%
체 8949
19.9%
설 6051
13.4%
시 5559
12.3%
내 1769
 
3.9%
연 1185
 
2.6%
실 1058
 
2.3%
물 985
 
2.2%
건 985
 
2.2%
금 664
 
1.5%
Other values (77) 8922
19.8%
ASCII
ValueCountFrequency (%)
5569
71.4%
) 552
 
7.1%
( 552
 
7.1%
0 355
 
4.5%
m 332
 
4.3%
1 261
 
3.3%
5 115
 
1.5%
+ 35
 
0.4%
M 23
 
0.3%
, 9
 
0.1%
None
ValueCountFrequency (%)
ｍ 21
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
10000 

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 10000
100.0%

Length

2024-05-10T21:30:47.510451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:30:47.850806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남양주시
3070 
의정부시
2205 
이천시
1392 
평택시
1011 
양주시
611 
Other values (19)
1711 

Length

Max length8
Median length4
Mean length3.6501
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row화성시
2nd row의정부시
3rd row평택시
4th row남양주시
5th row평택시

Common Values

ValueCountFrequency (%)
남양주시 3070
30.7%
의정부시 2205
22.1%
이천시 1392
13.9%
평택시 1011
 
10.1%
양주시 611
 
6.1%
하남시 501
 
5.0%
수원시 258
 
2.6%
안산시 상록구 193
 
1.9%
군포시 139
 
1.4%
양평군 113
 
1.1%
Other values (14) 507
 
5.1%

Length

2024-05-10T21:30:48.142819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 3070
29.8%
의정부시 2205
21.4%
이천시 1392
13.5%
평택시 1011
 
9.8%
양주시 611
 
5.9%
하남시 501
 
4.9%
수원시 258
 
2.5%
안산시 232
 
2.3%
상록구 193
 
1.9%
군포시 139
 
1.3%
Other values (17) 694
 
6.7%

금연구역구분
Text

Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:30:48.683030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length4.8812
Min length2

Characters and Unicode

Total characters48812
Distinct characters151
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row어린이놀이시설
2nd row식품접객업
3rd row일반음식점
4th row음식점
5th row휴게음식점
ValueCountFrequency (%)
음식점 3525
32.4%
식품접객업 1313
 
12.1%
일반음식점 858
 
7.9%
학원 439
 
4.0%
의료기관 322
 
3.0%
공장 274
 
2.5%
어린이집 254
 
2.3%
사회복지시설 252
 
2.3%
어린이놀이시설 247
 
2.3%
건축물(사무용,복합,공장 234
 
2.2%
Other values (111) 3165
29.1%
2024-05-10T21:30:49.482555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 6094
 
12.5%
점 4750
 
9.7%
음 4698
 
9.6%
업 1603
 
3.3%
이 1421
 
2.9%
품 1396
 
2.9%
접 1313
 
2.7%
객 1313
 
2.7%
시 1071
 
2.2%
설 1004
 
2.1%
Other values (141) 24149
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45830
93.9%
Space Separator 883
 
1.8%
Other Punctuation 739
 
1.5%
Decimal Number 358
 
0.7%
Close Punctuation 323
 
0.7%
Open Punctuation 323
 
0.7%
Math Symbol 126
 
0.3%
Dash Punctuation 118
 
0.2%
Lowercase Letter 92
 
0.2%
Uppercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6094
 
13.3%
점 4750
 
10.4%
음 4698
 
10.3%
업 1603
 
3.5%
이 1421
 
3.1%
품 1396
 
3.0%
접 1313
 
2.9%
객 1313
 
2.9%
시 1071
 
2.3%
설 1004
 
2.2%
Other values (123) 21167
46.2%
Decimal Number
ValueCountFrequency (%)
1 118
33.0%
0 92
25.7%
2 39
 
10.9%
6 39
 
10.9%
3 38
 
10.6%
9 13
 
3.6%
4 12
 
3.4%
8 7
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 673
91.1%
/ 66
 
8.9%
Uppercase Letter
ValueCountFrequency (%)
C 10
50.0%
P 10
50.0%
Space Separator
ValueCountFrequency (%)
883
100.0%
Close Punctuation
ValueCountFrequency (%)
) 323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%
Math Symbol
ValueCountFrequency (%)
+ 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45830
93.9%
Common 2870
 
5.9%
Latin 112
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6094
 
13.3%
점 4750
 
10.4%
음 4698
 
10.3%
업 1603
 
3.5%
이 1421
 
3.1%
품 1396
 
3.0%
접 1313
 
2.9%
객 1313
 
2.9%
시 1071
 
2.3%
설 1004
 
2.2%
Other values (123) 21167
46.2%
Common
ValueCountFrequency (%)
883
30.8%
, 673
23.4%
) 323
 
11.3%
( 323
 
11.3%
+ 126
 
4.4%
- 118
 
4.1%
1 118
 
4.1%
0 92
 
3.2%
/ 66
 
2.3%
2 39
 
1.4%
Other values (5) 109
 
3.8%
Latin
ValueCountFrequency (%)
m 92
82.1%
C 10
 
8.9%
P 10
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45830
93.9%
ASCII 2982
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 6094
 
13.3%
점 4750
 
10.4%
음 4698
 
10.3%
업 1603
 
3.5%
이 1421
 
3.1%
품 1396
 
3.0%
접 1313
 
2.9%
객 1313
 
2.9%
시 1071
 
2.3%
설 1004
 
2.2%
Other values (123) 21167
46.2%
ASCII
ValueCountFrequency (%)
883
29.6%
, 673
22.6%
) 323
 
10.8%
( 323
 
10.8%
+ 126
 
4.2%
- 118
 
4.0%
1 118
 
4.0%
0 92
 
3.1%
m 92
 
3.1%
/ 66
 
2.2%
Other values (8) 168
 
5.6%

금연구역지정근거명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국민건강증진법 제9조
7007 
국민건강증진법
2422 
남양주시 간접피해방지 조례 제3조
 
194
성남시 금연구역 지정 등에 관한 조례
 
64
국민건강증진법 제9조 광명시 금연 환경조성 및 금연구역 지정에 관한 조례 제3조
 
55
Other values (15)
 
258

Length

Max length44
Median length11
Mean length10.6865
Min length7

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row국민건강증진법
2nd row국민건강증진법
3rd row국민건강증진법 제9조
4th row국민건강증진법 제9조
5th row국민건강증진법 제9조

Common Values

ValueCountFrequency (%)
국민건강증진법 제9조 7007
70.1%
국민건강증진법 2422
 
24.2%
남양주시 간접피해방지 조례 제3조 194
 
1.9%
성남시 금연구역 지정 등에 관한 조례 64
 
0.6%
국민건강증진법 제9조 광명시 금연 환경조성 및 금연구역 지정에 관한 조례 제3조 55
 
0.5%
국민건강증진법 제9조 4항 52
 
0.5%
안산시 간접흡연 피해방지 및 금연구역 지정 등에 관한 조례 제4조 47
 
0.5%
김포시 금연구역지정 및 간접흡연피해방지조례 30
 
0.3%
이천시 금연조례 29
 
0.3%
양주시 금연구역 지정 및 간접흡연 피해방지 조례 제3조 24
 
0.2%
Other values (10) 76
 
0.8%

Length

2024-05-10T21:30:49.919647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국민건강증진법 9536
48.9%
제9조 7114
36.5%
조례 419
 
2.1%
제3조 273
 
1.4%
금연구역 206
 
1.1%
및 198
 
1.0%
남양주시 194
 
1.0%
간접피해방지 194
 
1.0%
관한 166
 
0.9%
지정 151
 
0.8%
Other values (30) 1060
 
5.4%

금연구역면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3161
Distinct (%)40.0%
Missing2091
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean666.36638
Minimum0
Maximum514695.1
Zeros501
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:30:50.309888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19.8
Q385
95-th percentile1688.78
Maximum514695.1
Range514695.1
Interquartile range (IQR)84

Descriptive statistics

Standard deviation8072.2745
Coefficient of variation (CV)12.113868
Kurtosis2240.9153
Mean666.36638
Median Absolute Deviation (MAD)18.8
Skewness40.665487
Sum5270291.7
Variance65161616
MonotonicityNot monotonic
2024-05-10T21:30:50.744004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 3072
30.7%
0.0 501
 
5.0%
10.0 56
 
0.6%
3.3 53
 
0.5%
50.0 23
 
0.2%
6.6 22
 
0.2%
33.0 20
 
0.2%
84.0 19
 
0.2%
6.0 19
 
0.2%
40.0 16
 
0.2%
Other values (3151) 4108
41.1%
(Missing) 2091
20.9%
ValueCountFrequency (%)
0.0 501
 
5.0%
0.06 1
 
< 0.1%
0.29 1
 
< 0.1%
0.38 1
 
< 0.1%
0.4 1
 
< 0.1%
0.45 1
 
< 0.1%
0.5 4
 
< 0.1%
0.82 1
 
< 0.1%
1.0 3072
30.7%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
514695.1 1
< 0.1%
215589.6 1
< 0.1%
189076.4 1
< 0.1%
169127.0 1
< 0.1%
141296.0 1
< 0.1%
133472.0 1
< 0.1%
111935.0 1
< 0.1%
110011.0 1
< 0.1%
92373.5 1
< 0.1%
91027.0 1
< 0.1%

위반과태료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100000
9174 
<NA>
 
517
50000
 
303
30000
 
6

Length

Max length6
Median length6
Mean length5.8657
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100000
2nd row100000
3rd row100000
4th row100000
5th row100000

Common Values

ValueCountFrequency (%)
100000 9174
91.7%
<NA> 517
 
5.2%
50000 303
 
3.0%
30000 6
 
0.1%

Length

2024-05-10T21:30:51.193239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:30:51.546505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100000 9174
91.7%
na 517
 
5.2%
50000 303
 
3.0%
30000 6
 
0.1%

위반신고전화번호
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-590-2796
3070 
031-870-6063
2205 
031-644-4053
1392 
031-8024-7315
1011 
<NA>
614 
Other values (20)
1708 

Length

Max length13
Median length12
Mean length11.6856
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row031-870-6063
3rd row031-8024-7315
4th row031-590-2796
5th row031-8024-7315

Common Values

ValueCountFrequency (%)
031-590-2796 3070
30.7%
031-870-6063 2205
22.1%
031-644-4053 1392
13.9%
031-8024-7315 1011
 
10.1%
<NA> 614
 
6.1%
031-8082-4342 611
 
6.1%
031-481-5699 193
 
1.9%
031-390-0825 139
 
1.4%
031-228-5755 119
 
1.2%
031-8075-4634 113
 
1.1%
Other values (15) 533
 
5.3%

Length

2024-05-10T21:30:51.832016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-590-2796 3070
30.7%
031-870-6063 2205
22.1%
031-644-4053 1392
13.9%
031-8024-7315 1011
 
10.1%
na 614
 
6.1%
031-8082-4342 611
 
6.1%
031-481-5699 193
 
1.9%
031-390-0825 139
 
1.4%
031-228-5755 119
 
1.2%
031-8075-4634 113
 
1.1%
Other values (15) 533
 
5.3%

소재지도로명주소
Text

MISSING 

Distinct8405
Distinct (%)87.5%
Missing390
Missing (%)3.9%
Memory size156.2 KiB
2024-05-10T21:30:52.365867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length55
Mean length25.074298
Min length11

Characters and Unicode

Total characters240964
Distinct characters523
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7684 ?
Unique (%)80.0%

Sample

1st row경기도 화성시 향남읍 분향동길 38
2nd row경기도 의정부시 오목로205번길 42, 골드프라자 지상1층 102호 (민락동)
3rd row경기도 평택시 장안웃길 56-82 (장안동)
4th row경기도 남양주시 진접읍 금강로 1623
5th row경기도 평택시 송탄로 207, 1층 (서정동)
ValueCountFrequency (%)
경기도 9610
 
18.7%
남양주시 2944
 
5.7%
의정부시 2183
 
4.2%
이천시 1368
 
2.7%
1층 1165
 
2.3%
평택시 989
 
1.9%
지상1층 641
 
1.2%
화도읍 604
 
1.2%
양주시 535
 
1.0%
하남시 496
 
1.0%
Other values (6540) 30912
60.1%
2024-05-10T21:30:53.431164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41837
 
17.4%
1 11583
 
4.8%
도 10398
 
4.3%
경 10314
 
4.3%
시 9872
 
4.1%
기 9711
 
4.0%
로 9165
 
3.8%
2 6500
 
2.7%
동 4610
 
1.9%
3 4214
 
1.7%
Other values (513) 122760
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141688
58.8%
Decimal Number 43488
 
18.0%
Space Separator 41837
 
17.4%
Other Punctuation 4122
 
1.7%
Open Punctuation 3675
 
1.5%
Close Punctuation 3675
 
1.5%
Dash Punctuation 2139
 
0.9%
Uppercase Letter 254
 
0.1%
Math Symbol 52
 
< 0.1%
Lowercase Letter 25
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10398
 
7.3%
경 10314
 
7.3%
시 9872
 
7.0%
기 9711
 
6.9%
로 9165
 
6.5%
동 4610
 
3.3%
길 4179
 
2.9%
양 4022
 
2.8%
남 3991
 
2.8%
부 3662
 
2.6%
Other values (456) 71764
50.6%
Uppercase Letter
ValueCountFrequency (%)
B 68
26.8%
A 53
20.9%
C 18
 
7.1%
S 16
 
6.3%
I 10
 
3.9%
T 10
 
3.9%
D 7
 
2.8%
P 7
 
2.8%
E 7
 
2.8%
W 7
 
2.8%
Other values (12) 51
20.1%
Lowercase Letter
ValueCountFrequency (%)
e 12
48.0%
o 2
 
8.0%
h 2
 
8.0%
g 1
 
4.0%
n 1
 
4.0%
k 1
 
4.0%
l 1
 
4.0%
y 1
 
4.0%
w 1
 
4.0%
i 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 11583
26.6%
2 6500
14.9%
3 4214
 
9.7%
0 3635
 
8.4%
5 3412
 
7.8%
4 3337
 
7.7%
6 3000
 
6.9%
7 2716
 
6.2%
9 2627
 
6.0%
8 2464
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 4096
99.4%
. 18
 
0.4%
@ 5
 
0.1%
， 3
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
62.5%
Ⅲ 2
 
25.0%
Ⅰ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
41837
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3675
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2139
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141688
58.8%
Common 98988
41.1%
Latin 287
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10398
 
7.3%
경 10314
 
7.3%
시 9872
 
7.0%
기 9711
 
6.9%
로 9165
 
6.5%
동 4610
 
3.3%
길 4179
 
2.9%
양 4022
 
2.8%
남 3991
 
2.8%
부 3662
 
2.6%
Other values (456) 71764
50.6%
Latin
ValueCountFrequency (%)
B 68
23.7%
A 53
18.5%
C 18
 
6.3%
S 16
 
5.6%
e 12
 
4.2%
I 10
 
3.5%
T 10
 
3.5%
D 7
 
2.4%
P 7
 
2.4%
E 7
 
2.4%
Other values (27) 79
27.5%
Common
ValueCountFrequency (%)
41837
42.3%
1 11583
 
11.7%
2 6500
 
6.6%
3 4214
 
4.3%
, 4096
 
4.1%
( 3675
 
3.7%
) 3675
 
3.7%
0 3635
 
3.7%
5 3412
 
3.4%
4 3337
 
3.4%
Other values (9) 13024
 
13.2%
Han
ValueCountFrequency (%)
山 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141687
58.8%
ASCII 99264
41.2%
Number Forms 8
 
< 0.1%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41837
42.1%
1 11583
 
11.7%
2 6500
 
6.5%
3 4214
 
4.2%
, 4096
 
4.1%
( 3675
 
3.7%
) 3675
 
3.7%
0 3635
 
3.7%
5 3412
 
3.4%
4 3337
 
3.4%
Other values (42) 13300
 
13.4%
Hangul
ValueCountFrequency (%)
도 10398
 
7.3%
경 10314
 
7.3%
시 9872
 
7.0%
기 9711
 
6.9%
로 9165
 
6.5%
동 4610
 
3.3%
길 4179
 
2.9%
양 4022
 
2.8%
남 3991
 
2.8%
부 3662
 
2.6%
Other values (455) 71763
50.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
62.5%
Ⅲ 2
 
25.0%
Ⅰ 1
 
12.5%
None
ValueCountFrequency (%)
， 3
75.0%
㈜ 1
 
25.0%
CJK
ValueCountFrequency (%)
山 1
100.0%

소재지지번주소
Text

Distinct8736
Distinct (%)87.8%
Missing47
Missing (%)0.5%
Memory size156.2 KiB
2024-05-10T21:30:54.071594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length54
Mean length23.211695
Min length14

Characters and Unicode

Total characters231026
Distinct characters528
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8007 ?
Unique (%)80.4%

Sample

1st row경기도 화성시 향남읍 상신리 393-6
2nd row경기도 의정부시 민락동 835번지 골드프라자 1층 102호
3rd row경기도 평택시 장안동 92-4번지
4th row경기도 남양주시 진접읍 장현리 29-4번지
5th row경기도 평택시 서정동 889-10번지 1층
ValueCountFrequency (%)
경기도 9953
 
19.8%
남양주시 3064
 
6.1%
의정부시 2181
 
4.3%
1층 1426
 
2.8%
이천시 1388
 
2.8%
평택시 1005
 
2.0%
화도읍 635
 
1.3%
양주시 604
 
1.2%
의정부동 586
 
1.2%
하남시 501
 
1.0%
Other values (9347) 28850
57.5%
2024-05-10T21:30:55.219380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40240
 
17.4%
도 10777
 
4.7%
1 10777
 
4.7%
경 10003
 
4.3%
시 10002
 
4.3%
기 9992
 
4.3%
- 7596
 
3.3%
동 7407
 
3.2%
지 6335
 
2.7%
2 5706
 
2.5%
Other values (518) 112191
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134817
58.4%
Decimal Number 46939
 
20.3%
Space Separator 40240
 
17.4%
Dash Punctuation 7596
 
3.3%
Other Punctuation 415
 
0.2%
Open Punctuation 323
 
0.1%
Close Punctuation 322
 
0.1%
Uppercase Letter 282
 
0.1%
Math Symbol 41
 
< 0.1%
Lowercase Letter 41
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10777
 
8.0%
경 10003
 
7.4%
시 10002
 
7.4%
기 9992
 
7.4%
동 7407
 
5.5%
지 6335
 
4.7%
번 5025
 
3.7%
양 4274
 
3.2%
남 4009
 
3.0%
주 3824
 
2.8%
Other values (459) 63169
46.9%
Uppercase Letter
ValueCountFrequency (%)
B 66
23.4%
A 54
19.1%
S 21
 
7.4%
C 18
 
6.4%
I 18
 
6.4%
T 11
 
3.9%
G 11
 
3.9%
D 7
 
2.5%
E 7
 
2.5%
P 7
 
2.5%
Other values (13) 62
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
36.6%
l 5
 
12.2%
o 4
 
9.8%
h 3
 
7.3%
i 2
 
4.9%
u 2
 
4.9%
b 2
 
4.9%
s 2
 
4.9%
y 1
 
2.4%
w 1
 
2.4%
Other values (4) 4
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 10777
23.0%
2 5706
12.2%
4 4671
10.0%
3 4602
9.8%
0 4045
 
8.6%
5 3928
 
8.4%
6 3859
 
8.2%
7 3649
 
7.8%
8 3058
 
6.5%
9 2644
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 402
96.9%
. 9
 
2.2%
@ 4
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
55.6%
Ⅲ 3
33.3%
Ⅰ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
40240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7596
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 322
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134818
58.4%
Common 95876
41.5%
Latin 330
 
0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10777
 
8.0%
경 10003
 
7.4%
시 10002
 
7.4%
기 9992
 
7.4%
동 7407
 
5.5%
지 6335
 
4.7%
번 5025
 
3.7%
양 4274
 
3.2%
남 4009
 
3.0%
주 3824
 
2.8%
Other values (460) 63170
46.9%
Latin
ValueCountFrequency (%)
B 66
20.0%
A 54
16.4%
S 21
 
6.4%
C 18
 
5.5%
I 18
 
5.5%
e 15
 
4.5%
T 11
 
3.3%
G 11
 
3.3%
D 7
 
2.1%
E 7
 
2.1%
Other values (29) 102
30.9%
Common
ValueCountFrequency (%)
40240
42.0%
1 10777
 
11.2%
- 7596
 
7.9%
2 5706
 
6.0%
4 4671
 
4.9%
3 4602
 
4.8%
0 4045
 
4.2%
5 3928
 
4.1%
6 3859
 
4.0%
7 3649
 
3.8%
Other values (8) 6803
 
7.1%
Greek
ValueCountFrequency (%)
Ι 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134817
58.4%
ASCII 96197
41.6%
Number Forms 9
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40240
41.8%
1 10777
 
11.2%
- 7596
 
7.9%
2 5706
 
5.9%
4 4671
 
4.9%
3 4602
 
4.8%
0 4045
 
4.2%
5 3928
 
4.1%
6 3859
 
4.0%
7 3649
 
3.8%
Other values (44) 7124
 
7.4%
Hangul
ValueCountFrequency (%)
도 10777
 
8.0%
경 10003
 
7.4%
시 10002
 
7.4%
기 9992
 
7.4%
동 7407
 
5.5%
지 6335
 
4.7%
번 5025
 
3.7%
양 4274
 
3.2%
남 4009
 
3.0%
주 3824
 
2.8%
Other values (459) 63169
46.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
55.6%
Ⅲ 3
33.3%
Ⅰ 1
 
11.1%
None
ValueCountFrequency (%)
Ι 2
66.7%
㈜ 1
33.3%

관리기관명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 남양주시청
3070 
경기도 의정부시청 의정부시보건소
2205 
경기도 이천시청
1392 
경기도 평택시청
1011 
양주시보건소
611 
Other values (20)
1711 

Length

Max length17
Median length15
Mean length10.5938
Min length6

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경기도 화성시 보건소
2nd row경기도 의정부시청 의정부시보건소
3rd row경기도 평택시청
4th row경기도 남양주시청
5th row경기도 평택시청

Common Values

ValueCountFrequency (%)
경기도 남양주시청 3070
30.7%
경기도 의정부시청 의정부시보건소 2205
22.1%
경기도 이천시청 1392
13.9%
경기도 평택시청 1011
 
10.1%
양주시보건소 611
 
6.1%
경기도 하남시청 501
 
5.0%
경기도 안산시 상록수보건소 193
 
1.9%
군포시 산본보건지소 139
 
1.4%
경기도 수원시 장안구보건소 119
 
1.2%
양평군보건소 113
 
1.1%
Other values (15) 646
 
6.5%

Length

2024-05-10T21:30:55.809485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9073
40.8%
남양주시청 3070
 
13.8%
의정부시청 2205
 
9.9%
의정부시보건소 2205
 
9.9%
이천시청 1392
 
6.3%
평택시청 1011
 
4.5%
양주시보건소 611
 
2.7%
하남시청 501
 
2.3%
수원시 258
 
1.2%
안산시 232
 
1.0%
Other values (22) 1664
 
7.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct7966
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.531383
Minimum37.005233
Maximum38.091373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:30:56.268663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.005233
5-th percentile37.064747
Q137.292503
median37.643823
Q337.732007
95-th percentile37.801108
Maximum38.091373
Range1.0861399
Interquartile range (IQR)0.4395041

Descriptive statistics

Standard deviation0.24205513
Coefficient of variation (CV)0.0064494062
Kurtosis-0.83652384
Mean37.531383
Median Absolute Deviation (MAD)0.10163953
Skewness-0.71606512
Sum375313.83
Variance0.058590687
MonotonicityNot monotonic
2024-05-10T21:30:56.788906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.034106 18
 
0.2%
37.61101957 16
 
0.2%
37.74012341 15
 
0.1%
37.60820447 14
 
0.1%
37.65508881 13
 
0.1%
37.46012272 13
 
0.1%
37.65192006 12
 
0.1%
37.24137442 12
 
0.1%
37.64586021 11
 
0.1%
37.60460873 10
 
0.1%
Other values (7956) 9866
98.7%
ValueCountFrequency (%)
37.005233 1
< 0.1%
37.010107 1
< 0.1%
37.012571 1
< 0.1%
37.013326 1
< 0.1%
37.015283 1
< 0.1%
37.015583 1
< 0.1%
37.015836 1
< 0.1%
37.015982 2
< 0.1%
37.016007 1
< 0.1%
37.01625 1
< 0.1%
ValueCountFrequency (%)
38.09137291 1
< 0.1%
38.09016678 1
< 0.1%
38.08195135 1
< 0.1%
38.03527557 1
< 0.1%
38.01837798 1
< 0.1%
38.01796102 1
< 0.1%
38.01789859 1
< 0.1%
38.01692301 1
< 0.1%
38.01592398 1
< 0.1%
38.01519005 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct7944
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.15963
Minimum126.58735
Maximum127.77964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:30:57.272115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58735
5-th percentile126.91548
Q1127.04922
median127.12327
Q3127.24467
95-th percentile127.47932
Maximum127.77964
Range1.1922847
Interquartile range (IQR)0.195448

Descriptive statistics

Standard deviation0.17113457
Coefficient of variation (CV)0.0013458246
Kurtosis0.18696155
Mean127.15963
Median Absolute Deviation (MAD)0.084412
Skewness0.39435671
Sum1271596.3
Variance0.02928704
MonotonicityNot monotonic
2024-05-10T21:30:57.814331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.069581 18
 
0.2%
127.1562291 16
 
0.2%
127.0500718 15
 
0.1%
127.1577538 14
 
0.1%
127.2441072 13
 
0.1%
127.1319429 13
 
0.1%
127.3937846 12
 
0.1%
127.1280843 12
 
0.1%
127.2356587 11
 
0.1%
127.2354085 10
 
0.1%
Other values (7934) 9866
98.7%
ValueCountFrequency (%)
126.5873532 1
< 0.1%
126.5938477 1
< 0.1%
126.5949145 1
< 0.1%
126.5962536 1
< 0.1%
126.597088 1
< 0.1%
126.6037482 1
< 0.1%
126.6064561 1
< 0.1%
126.6254291 1
< 0.1%
126.6257771 1
< 0.1%
126.6286882402 1
< 0.1%
ValueCountFrequency (%)
127.7796379 1
< 0.1%
127.7707012 1
< 0.1%
127.711468 1
< 0.1%
127.6740665 1
< 0.1%
127.6574438 1
< 0.1%
127.6399603 1
< 0.1%
127.6393253 1
< 0.1%
127.6386524 1
< 0.1%
127.638409 1
< 0.1%
127.6365788 1
< 0.1%

데이터기준일자
Date

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-10-28 00:00:00
Maximum2024-01-19 00:00:00
2024-05-10T21:30:58.319189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:58.815991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

Interactions

2024-05-10T21:30:41.505827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:39.820764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:40.722398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:41.784635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:40.063841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:40.967191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:42.052116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:40.337663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:30:41.248829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:30:59.192580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금연구역범위상세시군구명금연구역지정근거명금연구역면적위반과태료위반신고전화번호관리기관명위도경도데이터기준일자
금연구역범위상세1.0000.9840.9850.4110.9990.9810.9830.8660.8890.983
시군구명0.9841.0000.9610.4660.7600.9980.9990.9500.9200.998
금연구역지정근거명0.9850.9611.0000.3601.0000.9780.9630.8120.7880.963
금연구역면적0.4110.4660.3601.0000.1920.3820.4660.1160.1820.466
위반과태료0.9990.7601.0000.1921.0000.7720.7620.4440.4370.751
위반신고전화번호0.9810.9980.9780.3820.7721.0001.0000.9490.9271.000
관리기관명0.9830.9990.9630.4660.7621.0001.0000.9570.9290.998
위도0.8660.9500.8120.1160.4440.9490.9571.0000.8220.948
경도0.8890.9200.7880.1820.4370.9270.9290.8221.0000.912
데이터기준일자0.9830.9980.9630.4660.7511.0000.9980.9480.9121.000
2024-05-10T21:30:59.484812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금연구역지정근거명시군구명위반신고전화번호위반과태료관리기관명
금연구역지정근거명1.0000.6860.7820.9970.687
시군구명0.6861.0000.9760.5590.978
위반신고전화번호0.7820.9761.0000.5721.000
위반과태료0.9970.5590.5721.0000.559
관리기관명0.6870.9781.0000.5591.000
2024-05-10T21:30:59.754169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금연구역면적위도경도시군구명금연구역지정근거명위반과태료위반신고전화번호관리기관명
금연구역면적1.000-0.146-0.2520.2000.1940.1380.2000.200
위도-0.1461.000-0.2610.7550.4010.2980.7530.755
경도-0.252-0.2611.0000.6650.3740.2920.6850.665
시군구명0.2000.7550.6651.0000.6860.5590.9760.978
금연구역지정근거명0.1940.4010.3740.6861.0000.9970.7820.687
위반과태료0.1380.2980.2920.5590.9971.0000.5720.559
위반신고전화번호0.2000.7530.6850.9760.7820.5721.0001.000
관리기관명0.2000.7550.6650.9780.6870.5591.0001.000

Missing values

2024-05-10T21:30:42.429242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:30:43.393075image/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.
2024-05-10T21:30:43.818259image/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

금연구역명금연구역범위상세시도명시군구명금연구역구분금연구역지정근거명금연구역면적위반과태료위반신고전화번호소재지도로명주소소재지지번주소관리기관명위도경도데이터기준일자
42067향남아이비어린이집 놀이터부지전체경기도화성시어린이놀이시설국민건강증진법<NA>100000<NA>경기도 화성시 향남읍 분향동길 38경기도 화성시 향남읍 상신리 393-6경기도 화성시 보건소37.106373126.897452022-11-15
26007팔팔회포차시설전체경기도의정부시식품접객업국민건강증진법36.96100000031-870-6063경기도 의정부시 오목로205번길 42, 골드프라자 지상1층 102호 (민락동)경기도 의정부시 민락동 835번지 골드프라자 1층 102호경기도 의정부시청 의정부시보건소37.745923127.0967132023-03-02
29958산이랑시설전체경기도평택시일반음식점국민건강증진법 제9조58.5100000031-8024-7315경기도 평택시 장안웃길 56-82 (장안동)경기도 평택시 장안동 92-4번지경기도 평택시청37.068192127.0864832023-01-31
14409블랙시드전체경기도남양주시음식점국민건강증진법 제9조1.0100000031-590-2796경기도 남양주시 진접읍 금강로 1623경기도 남양주시 진접읍 장현리 29-4번지경기도 남양주시청37.735003127.1951192023-05-19
26555카페천국 송탄점시설전체경기도평택시휴게음식점국민건강증진법 제9조39.4100000031-8024-7315경기도 평택시 송탄로 207, 1층 (서정동)경기도 평택시 서정동 889-10번지 1층경기도 평택시청37.06232127.0580262023-01-31
22388마송제4근린공원(휴공원)공원내경기도김포시근린공원김포시 금연구역지정 및 간접흡연피해방지조례23217.050000031-5186-4125경기도 김포시 통진읍 김포대로 2148경기도 김포시 통진읍 마송리 588경기도 김포시 보건소37.685762126.6064562023-10-23
26835김가네송정점시설전체경기도이천시음식점국민건강증진법 제9조40.11100000031-644-4053경기도 이천시 증신로 303, 1층 (송정동)경기도 이천시 송정동 342 (1층)경기도 이천시청37.297531127.4389022023-11-30
13521커브스 덕소클럽전체경기도남양주시체육시설국민건강증진법 제9조1.0100000031-590-2796경기도 남양주시 와부읍 덕소로97번길 15-3경기도 남양주시 와부읍 덕소리 477-2경기도 남양주시청37.586216127.2137182023-05-19
4874가마솥순대국전체경기도남양주시음식점국민건강증진법 제9조1.0100000031-590-2796경기도 남양주시 가운로 5-1경기도 남양주시 다산동 617-14경기도 남양주시청37.60576127.1587622023-05-19
11180참치생각전체경기도남양주시음식점국민건강증진법 제9조1.0100000031-590-2796경기도 남양주시 별내면 청학로 78경기도 남양주시 별내면 청학리 418-1번지경기도 남양주시청37.707805127.1186052023-05-19
금연구역명금연구역범위상세시도명시군구명금연구역구분금연구역지정근거명금연구역면적위반과태료위반신고전화번호소재지도로명주소소재지지번주소관리기관명위도경도데이터기준일자
42891이모네분식시설전체경기도화성시일반음식점국민건강증진법<NA>100000<NA>경기도 화성시 삼성1로 209경기도 화성시 석우동 18-4경기도 화성시 보건소37.221863127.0749132022-11-15
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