Overview

Dataset statistics

Number of variables14
Number of observations649
Missing cells2276
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.9 KiB
Average record size in memory118.2 B

Variable types

Categorical3
Text3
DateTime2
Unsupported3
Numeric3

Dataset

Description휴게음식점(백화점) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=C9S3YM1IFJE8QFMTO4PK13507838&infSeq=1

Alerts

위생업태명 has constant value ""Constant
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
폐업일자 has 143 (22.0%) missing valuesMissing
다중이용업소여부 has 649 (100.0%) missing valuesMissing
총시설규모(㎡) has 649 (100.0%) missing valuesMissing
위생업종명 has 649 (100.0%) missing valuesMissing
소재지도로명주소 has 45 (6.9%) missing valuesMissing
소재지우편번호 has 47 (7.2%) missing valuesMissing
WGS84위도 has 47 (7.2%) missing valuesMissing
WGS84경도 has 47 (7.2%) missing valuesMissing
다중이용업소여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총시설규모(㎡) is an unsupported type, check if it needs cleaning or further analysisUnsupported
위생업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-30 04:25:58.704879
Analysis finished2024-03-30 04:26:03.976431
Duration5.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
부천시
241 
용인시
122 
성남시
85 
의정부시
47 
안양시
30 
Other values (12)
124 

Length

Max length4
Median length3
Mean length3.0770416
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 241
37.1%
용인시 122
18.8%
성남시 85
 
13.1%
의정부시 47
 
7.2%
안양시 30
 
4.6%
안성시 21
 
3.2%
고양시 20
 
3.1%
하남시 15
 
2.3%
수원시 14
 
2.2%
평택시 11
 
1.7%
Other values (7) 43
 
6.6%

Length

2024-03-30T04:26:04.218349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 241
37.1%
용인시 122
18.8%
성남시 85
 
13.1%
의정부시 47
 
7.2%
안양시 30
 
4.6%
안성시 21
 
3.2%
고양시 20
 
3.1%
하남시 15
 
2.3%
수원시 14
 
2.2%
평택시 11
 
1.7%
Other values (7) 43
 
6.6%

사업장명
Text

Distinct470
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-03-30T04:26:04.664058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length8.0354391
Min length2

Characters and Unicode

Total characters5215
Distinct characters506
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

Unique394 ?
Unique (%)60.7%

Sample

1st row백미당 현대 킨텍스점
2nd row큐슈울트라아멘 킨텍스점
3rd row두촌가마솥밥&쭈꾸미
4th row찬합 롯데백화점일산점
5th row트윗젤 현대백화점 킨텍스점
ValueCountFrequency (%)
감동푸드 20
 
2.4%
주식회사 20
 
2.4%
크레미뇽(한시적 12
 
1.5%
어랑사랑-한시적 12
 
1.5%
리은푸드 12
 
1.5%
중동점 9
 
1.1%
온누리농특산-한시적 8
 
1.0%
크레미뇽 7
 
0.8%
주바른 7
 
0.8%
주)갑성-한시적 7
 
0.8%
Other values (545) 710
86.2%
2024-03-30T04:26:05.681420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 188
 
3.6%
) 188
 
3.6%
점 177
 
3.4%
175
 
3.4%
시 138
 
2.6%
스 134
 
2.6%
한 131
 
2.5%
적 125
 
2.4%
주 115
 
2.2%
이 114
 
2.2%
Other values (496) 3730
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4463
85.6%
Open Punctuation 188
 
3.6%
Close Punctuation 188
 
3.6%
Space Separator 175
 
3.4%
Dash Punctuation 71
 
1.4%
Lowercase Letter 66
 
1.3%
Uppercase Letter 39
 
0.7%
Other Punctuation 14
 
0.3%
Decimal Number 9
 
0.2%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 177
 
4.0%
시 138
 
3.1%
스 134
 
3.0%
한 131
 
2.9%
적 125
 
2.8%
주 115
 
2.6%
이 114
 
2.6%
리 103
 
2.3%
드 85
 
1.9%
동 84
 
1.9%
Other values (445) 3257
73.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.2%
a 8
12.1%
o 8
12.1%
t 6
 
9.1%
s 5
 
7.6%
n 3
 
4.5%
k 3
 
4.5%
c 3
 
4.5%
h 3
 
4.5%
f 2
 
3.0%
Other values (10) 15
22.7%
Uppercase Letter
ValueCountFrequency (%)
T 6
15.4%
B 4
 
10.3%
O 3
 
7.7%
F 3
 
7.7%
N 3
 
7.7%
G 2
 
5.1%
L 2
 
5.1%
S 2
 
5.1%
A 2
 
5.1%
Z 2
 
5.1%
Other values (8) 10
25.6%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
3 2
22.2%
5 2
22.2%
8 1
 
11.1%
4 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 7
50.0%
/ 4
28.6%
& 3
21.4%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4463
85.6%
Common 647
 
12.4%
Latin 105
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 177
 
4.0%
시 138
 
3.1%
스 134
 
3.0%
한 131
 
2.9%
적 125
 
2.8%
주 115
 
2.6%
이 114
 
2.6%
리 103
 
2.3%
드 85
 
1.9%
동 84
 
1.9%
Other values (445) 3257
73.0%
Latin
ValueCountFrequency (%)
e 10
 
9.5%
a 8
 
7.6%
o 8
 
7.6%
t 6
 
5.7%
T 6
 
5.7%
s 5
 
4.8%
B 4
 
3.8%
n 3
 
2.9%
k 3
 
2.9%
O 3
 
2.9%
Other values (28) 49
46.7%
Common
ValueCountFrequency (%)
( 188
29.1%
) 188
29.1%
175
27.0%
- 71
 
11.0%
, 7
 
1.1%
/ 4
 
0.6%
& 3
 
0.5%
2 3
 
0.5%
3 2
 
0.3%
5 2
 
0.3%
Other values (3) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4463
85.6%
ASCII 752
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 188
25.0%
) 188
25.0%
175
23.3%
- 71
 
9.4%
e 10
 
1.3%
a 8
 
1.1%
o 8
 
1.1%
, 7
 
0.9%
t 6
 
0.8%
T 6
 
0.8%
Other values (41) 85
11.3%
Hangul
ValueCountFrequency (%)
점 177
 
4.0%
시 138
 
3.1%
스 134
 
3.0%
한 131
 
2.9%
적 125
 
2.8%
주 115
 
2.6%
이 114
 
2.6%
리 103
 
2.3%
드 85
 
1.9%
동 84
 
1.9%
Other values (445) 3257
73.0%

인허가일자
Date

Distinct467
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1999-06-25 00:00:00
Maximum2024-03-08 00:00:00
2024-03-30T04:26:06.243738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:07.116323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
506 
영업
143 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 506
78.0%
영업 143
 
22.0%

Length

2024-03-30T04:26:07.864868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T04:26:08.668643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 506
78.0%
영업 143
 
22.0%

폐업일자
Date

MISSING 

Distinct385
Distinct (%)76.1%
Missing143
Missing (%)22.0%
Memory size5.2 KiB
Minimum2003-10-01 00:00:00
Maximum2024-03-07 00:00:00
2024-03-30T04:26:09.002619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:09.507827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

다중이용업소여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

총시설규모(㎡)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

위생업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
백화점
649 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백화점 649
100.0%

Length

2024-03-30T04:26:09.825460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T04:26:10.118603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백화점 649
100.0%

소재지도로명주소
Text

MISSING 

Distinct225
Distinct (%)37.3%
Missing45
Missing (%)6.9%
Memory size5.2 KiB
2024-03-30T04:26:10.651217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length51
Mean length42.875828
Min length19

Characters and Unicode

Total characters25897
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)27.2%

Sample

1st row경기도 고양시 일산서구 호수로 817, 지하1층 일부호 (대화동, 현대백화점)
2nd row경기도 고양시 일산서구 호수로 817, 레이킨스몰 현대백화점 지하1층일부호 (대화동)
3rd row경기도 고양시 일산서구 중앙로 1436, 지하2(일부)층 (주엽동, 그랜드백화점)
4th row경기도 고양시 일산동구 중앙로 1283, 지하2층 일부호 (장항동, 롯데백화점일산점 판매동)
5th row경기도 고양시 일산서구 호수로 817, 현대백화점킨텍스점 지하1층 일부호 (대화동)
ValueCountFrequency (%)
경기도 604
 
11.3%
지하1층 319
 
6.0%
일부호 240
 
4.5%
부천시 196
 
3.7%
길주로 186
 
3.5%
원미구 158
 
3.0%
중동 148
 
2.8%
180 145
 
2.7%
현대백화점 124
 
2.3%
용인시 122
 
2.3%
Other values (314) 3080
57.9%
2024-03-30T04:26:11.813047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4721
 
18.2%
점 901
 
3.5%
동 830
 
3.2%
1 807
 
3.1%
부 725
 
2.8%
경 716
 
2.8%
기 714
 
2.8%
( 663
 
2.6%
) 663
 
2.6%
시 629
 
2.4%
Other values (197) 14528
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16180
62.5%
Space Separator 4721
 
18.2%
Decimal Number 2816
 
10.9%
Open Punctuation 663
 
2.6%
Close Punctuation 663
 
2.6%
Other Punctuation 584
 
2.3%
Uppercase Letter 234
 
0.9%
Dash Punctuation 35
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 901
 
5.6%
동 830
 
5.1%
부 725
 
4.5%
경 716
 
4.4%
기 714
 
4.4%
시 629
 
3.9%
도 625
 
3.9%
지 624
 
3.9%
로 609
 
3.8%
화 594
 
3.7%
Other values (165) 9213
56.9%
Uppercase Letter
ValueCountFrequency (%)
K 35
15.0%
A 29
12.4%
E 26
11.1%
S 23
9.8%
G 23
9.8%
U 21
9.0%
R 21
9.0%
Q 21
9.0%
C 8
 
3.4%
N 8
 
3.4%
Other values (5) 19
8.1%
Decimal Number
ValueCountFrequency (%)
1 807
28.7%
0 427
15.2%
3 349
12.4%
2 313
 
11.1%
5 264
 
9.4%
6 225
 
8.0%
8 180
 
6.4%
4 134
 
4.8%
9 75
 
2.7%
7 42
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 563
96.4%
. 21
 
3.6%
Space Separator
ValueCountFrequency (%)
4721
100.0%
Open Punctuation
ValueCountFrequency (%)
( 663
100.0%
Close Punctuation
ValueCountFrequency (%)
) 663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16180
62.5%
Common 9482
36.6%
Latin 235
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 901
 
5.6%
동 830
 
5.1%
부 725
 
4.5%
경 716
 
4.4%
기 714
 
4.4%
시 629
 
3.9%
도 625
 
3.9%
지 624
 
3.9%
로 609
 
3.8%
화 594
 
3.7%
Other values (165) 9213
56.9%
Common
ValueCountFrequency (%)
4721
49.8%
1 807
 
8.5%
( 663
 
7.0%
) 663
 
7.0%
, 563
 
5.9%
0 427
 
4.5%
3 349
 
3.7%
2 313
 
3.3%
5 264
 
2.8%
6 225
 
2.4%
Other values (6) 487
 
5.1%
Latin
ValueCountFrequency (%)
K 35
14.9%
A 29
12.3%
E 26
11.1%
S 23
9.8%
G 23
9.8%
U 21
8.9%
R 21
8.9%
Q 21
8.9%
C 8
 
3.4%
N 8
 
3.4%
Other values (6) 20
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16180
62.5%
ASCII 9717
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4721
48.6%
1 807
 
8.3%
( 663
 
6.8%
) 663
 
6.8%
, 563
 
5.8%
0 427
 
4.4%
3 349
 
3.6%
2 313
 
3.2%
5 264
 
2.7%
6 225
 
2.3%
Other values (22) 722
 
7.4%
Hangul
ValueCountFrequency (%)
점 901
 
5.6%
동 830
 
5.1%
부 725
 
4.5%
경 716
 
4.4%
기 714
 
4.4%
시 629
 
3.9%
도 625
 
3.9%
지 624
 
3.9%
로 609
 
3.8%
화 594
 
3.7%
Other values (165) 9213
56.9%

소재지지번주소
Text

Distinct218
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-03-30T04:26:12.437546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length35.231125
Min length15

Characters and Unicode

Total characters22865
Distinct characters199
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)25.3%

Sample

1st row경기도 고양시 일산서구 대화동 2602 현대백화점 지하1층 일부호
2nd row경기도 고양시 일산서구 대화동 2602 레이킨스몰 현대백화점 지하1층일부
3rd row경기도 고양시 일산서구 주엽동 22 그랜드백화점, 지하2층일부
4th row경기도 고양시 일산동구 장항동 784 외2필지(롯데백화점일산점지하2층일부)
5th row경기도 고양시 일산서구 대화동 2602 현대백화점 킨텍스점 지하1층일부
ValueCountFrequency (%)
경기도 649
 
13.7%
지하1층 271
 
5.7%
부천시 241
 
5.1%
중동 236
 
5.0%
원미구 203
 
4.3%
1164 160
 
3.4%
현대백화점 138
 
2.9%
일부 136
 
2.9%
용인시 122
 
2.6%
수지구 112
 
2.4%
Other values (280) 2472
52.2%
2024-03-30T04:26:13.612265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4726
20.7%
1 1393
 
6.1%
동 880
 
3.8%
점 825
 
3.6%
기 759
 
3.3%
경 749
 
3.3%
도 670
 
2.9%
부 664
 
2.9%
시 651
 
2.8%
백 564
 
2.5%
Other values (189) 10984
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13894
60.8%
Space Separator 4726
 
20.7%
Decimal Number 3451
 
15.1%
Other Punctuation 205
 
0.9%
Uppercase Letter 205
 
0.9%
Dash Punctuation 149
 
0.7%
Open Punctuation 117
 
0.5%
Close Punctuation 117
 
0.5%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 880
 
6.3%
점 825
 
5.9%
기 759
 
5.5%
경 749
 
5.4%
도 670
 
4.8%
부 664
 
4.8%
시 651
 
4.7%
백 564
 
4.1%
화 520
 
3.7%
구 504
 
3.6%
Other values (158) 7108
51.2%
Uppercase Letter
ValueCountFrequency (%)
G 27
13.2%
S 27
13.2%
E 25
12.2%
K 22
10.7%
U 21
10.2%
Q 21
10.2%
A 21
10.2%
R 21
10.2%
T 6
 
2.9%
B 4
 
2.0%
Other values (4) 10
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 1393
40.4%
5 392
 
11.4%
4 390
 
11.3%
6 374
 
10.8%
2 226
 
6.5%
8 202
 
5.9%
0 165
 
4.8%
3 144
 
4.2%
9 105
 
3.0%
7 60
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 183
89.3%
. 22
 
10.7%
Space Separator
ValueCountFrequency (%)
4726
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13894
60.8%
Common 8765
38.3%
Latin 206
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 880
 
6.3%
점 825
 
5.9%
기 759
 
5.5%
경 749
 
5.4%
도 670
 
4.8%
부 664
 
4.8%
시 651
 
4.7%
백 564
 
4.1%
화 520
 
3.7%
구 504
 
3.6%
Other values (158) 7108
51.2%
Common
ValueCountFrequency (%)
4726
53.9%
1 1393
 
15.9%
5 392
 
4.5%
4 390
 
4.4%
6 374
 
4.3%
2 226
 
2.6%
8 202
 
2.3%
, 183
 
2.1%
0 165
 
1.9%
- 149
 
1.7%
Other values (6) 565
 
6.4%
Latin
ValueCountFrequency (%)
G 27
13.1%
S 27
13.1%
E 25
12.1%
K 22
10.7%
U 21
10.2%
Q 21
10.2%
A 21
10.2%
R 21
10.2%
T 6
 
2.9%
B 4
 
1.9%
Other values (5) 11
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13894
60.8%
ASCII 8971
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4726
52.7%
1 1393
 
15.5%
5 392
 
4.4%
4 390
 
4.3%
6 374
 
4.2%
2 226
 
2.5%
8 202
 
2.3%
, 183
 
2.0%
0 165
 
1.8%
- 149
 
1.7%
Other values (21) 771
 
8.6%
Hangul
ValueCountFrequency (%)
동 880
 
6.3%
점 825
 
5.9%
기 759
 
5.5%
경 749
 
5.4%
도 670
 
4.8%
부 664
 
4.8%
시 651
 
4.7%
백 564
 
4.1%
화 520
 
3.7%
구 504
 
3.6%
Other values (158) 7108
51.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct50
Distinct (%)8.3%
Missing47
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean14678.782
Minimum10090
Maximum18478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-30T04:26:14.103027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10090
5-th percentile11696
Q113529
median14546
Q316846.5
95-th percentile17563
Maximum18478
Range8388
Interquartile range (IQR)3317.5

Descriptive statistics

Standard deviation1902.0523
Coefficient of variation (CV)0.12957834
Kurtosis-0.46802971
Mean14678.782
Median Absolute Deviation (MAD)1017
Skewness-0.20021441
Sum8836627
Variance3617802.8
MonotonicityNot monotonic
2024-03-30T04:26:14.589644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14546 123
19.0%
16896 100
15.4%
13529 64
9.9%
14548 57
8.8%
11696 47
 
7.2%
14073 27
 
4.2%
17563 21
 
3.2%
12942 15
 
2.3%
13591 14
 
2.2%
10391 12
 
1.8%
Other values (40) 122
18.8%
(Missing) 47
 
7.2%
ValueCountFrequency (%)
10090 1
 
0.2%
10135 1
 
0.2%
10387 1
 
0.2%
10390 1
 
0.2%
10391 12
 
1.8%
10401 6
 
0.9%
11355 2
 
0.3%
11696 47
7.2%
11915 1
 
0.2%
11922 10
 
1.5%
ValueCountFrequency (%)
18478 7
 
1.1%
17917 10
 
1.5%
17840 1
 
0.2%
17563 21
 
3.2%
17035 1
 
0.2%
17006 6
 
0.9%
16907 3
 
0.5%
16896 100
15.4%
16847 2
 
0.3%
16845 10
 
1.5%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)8.6%
Missing47
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean37.431944
Minimum36.991901
Maximum37.880893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-30T04:26:14.996928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.991901
5-th percentile36.995853
Q137.325003
median37.392782
Q337.504317
95-th percentile37.737934
Maximum37.880893
Range0.88899215
Interquartile range (IQR)0.17931399

Descriptive statistics

Standard deviation0.16460258
Coefficient of variation (CV)0.0043973826
Kurtosis1.1066166
Mean37.431944
Median Absolute Deviation (MAD)0.10976948
Skewness-0.40174359
Sum22534.03
Variance0.027094009
MonotonicityNot monotonic
2024-03-30T04:26:15.429641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5043171668 123
19.0%
37.3250031722 100
15.4%
37.3927822598 64
9.9%
37.5025517408 57
8.8%
37.7379343921 47
 
7.2%
37.3899508706 21
 
3.2%
36.9945235041 21
 
3.2%
37.545418129 15
 
2.3%
37.3851007981 14
 
2.2%
37.6679786706 12
 
1.8%
Other values (42) 128
19.7%
(Missing) 47
 
7.2%
ValueCountFrequency (%)
36.9919006082 10
1.5%
36.9945235041 21
3.2%
37.0211066578 1
 
0.2%
37.200675377 7
 
1.1%
37.2504974396 1
 
0.2%
37.2518134073 1
 
0.2%
37.2627666707 1
 
0.2%
37.2641013965 5
 
0.8%
37.2656360259 4
 
0.6%
37.2662986444 1
 
0.2%
ValueCountFrequency (%)
37.8808927551 2
 
0.3%
37.7379343921 47
7.2%
37.6708230588 1
 
0.2%
37.6679786706 12
 
1.8%
37.661567383 1
 
0.2%
37.6604725838 6
 
0.9%
37.6527162088 1
 
0.2%
37.6405530739 1
 
0.2%
37.6131390076 1
 
0.2%
37.6026921337 10
 
1.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)8.6%
Missing47
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean126.96868
Minimum126.67742
Maximum127.25015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-30T04:26:15.831965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.67742
5-th percentile126.76207
Q1126.7721
median127.04584
Q3127.10811
95-th percentile127.14717
Maximum127.25015
Range0.57273107
Interquartile range (IQR)0.33601339

Descriptive statistics

Standard deviation0.16338438
Coefficient of variation (CV)0.0012868085
Kurtosis-1.6590126
Mean126.96868
Median Absolute Deviation (MAD)0.095451636
Skewness-0.29097382
Sum76435.145
Variance0.026694455
MonotonicityNot monotonic
2024-03-30T04:26:16.284128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7620745903 123
19.0%
127.1081092919 100
15.4%
127.1120948679 64
9.9%
126.7753741701 57
8.8%
127.045835705 47
 
7.2%
126.950384069 21
 
3.2%
127.1471670216 21
 
3.2%
127.2237611843 15
 
2.3%
127.1227076252 14
 
2.2%
126.7516242854 12
 
1.8%
Other values (42) 128
19.7%
(Missing) 47
 
7.2%
ValueCountFrequency (%)
126.6774205372 1
 
0.2%
126.7441037261 1
 
0.2%
126.7516242854 12
 
1.8%
126.754145423 2
 
0.3%
126.7550485645 2
 
0.3%
126.7552924952 4
 
0.6%
126.7610298735 1
 
0.2%
126.7620745903 123
19.0%
126.7633004862 1
 
0.2%
126.7639551478 3
 
0.5%
ValueCountFrequency (%)
127.2501516032 1
 
0.2%
127.2237611843 15
2.3%
127.1515897965 6
 
0.9%
127.1471670216 21
3.2%
127.1437935543 10
1.5%
127.1409110928 1
 
0.2%
127.1274822762 2
 
0.3%
127.1227076252 14
2.2%
127.1149639477 1
 
0.2%
127.1143373691 4
 
0.6%

Interactions

2024-03-30T04:26:01.796080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:00.215037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:01.018859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:02.036621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:00.494310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:01.269627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:02.302494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:00.749376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T04:26:01.558183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T04:26:16.529013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명소재지우편번호WGS84위도WGS84경도
시군명1.0000.4501.0000.9960.986
영업상태명0.4501.0000.4280.2690.271
소재지우편번호1.0000.4281.0000.9440.950
WGS84위도0.9960.2690.9441.0000.942
WGS84경도0.9860.2710.9500.9421.000
2024-03-30T04:26:16.768820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명
영업상태명1.0000.400
시군명0.4001.000
2024-03-30T04:26:16.989300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명영업상태명
소재지우편번호1.000-0.7860.1070.9940.332
WGS84위도-0.7861.000-0.4750.9780.267
WGS84경도0.107-0.4751.0000.9230.269
시군명0.9940.9780.9231.0000.400
영업상태명0.3320.2670.2690.4001.000

Missing values

2024-03-30T04:26:02.691819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T04:26:03.296146image/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.
2024-03-30T04:26:03.700144image/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

시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0고양시백미당 현대 킨텍스점2016-08-02영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 호수로 817, 지하1층 일부호 (대화동, 현대백화점)경기도 고양시 일산서구 대화동 2602 현대백화점 지하1층 일부호1039137.667979126.751624
1고양시큐슈울트라아멘 킨텍스점2018-12-13영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 호수로 817, 레이킨스몰 현대백화점 지하1층일부호 (대화동)경기도 고양시 일산서구 대화동 2602 레이킨스몰 현대백화점 지하1층일부1039137.667979126.751624
2고양시두촌가마솥밥&쭈꾸미2017-08-25영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 중앙로 1436, 지하2(일부)층 (주엽동, 그랜드백화점)경기도 고양시 일산서구 주엽동 22 그랜드백화점, 지하2층일부1038737.670823126.76103
3고양시찬합 롯데백화점일산점20050630영업<NA><NA><NA><NA>백화점경기도 고양시 일산동구 중앙로 1283, 지하2층 일부호 (장항동, 롯데백화점일산점 판매동)경기도 고양시 일산동구 장항동 784 외2필지(롯데백화점일산점지하2층일부)1040137.660473126.772096
4고양시트윗젤 현대백화점 킨텍스점20210809영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 호수로 817, 현대백화점킨텍스점 지하1층 일부호 (대화동)경기도 고양시 일산서구 대화동 2602 현대백화점 킨텍스점 지하1층일부1039137.667979126.751624
5고양시기야마20180112영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 호수로 817, 현대백화점킨텍스점 지하1층 일부호 (대화동)경기도 고양시 일산서구 대화동 2602 현대백화점킨텍스점 지하1층 일부1039137.667979126.751624
6고양시세컨스쿱젤라또20150420영업<NA><NA><NA><NA>백화점경기도 고양시 일산동구 중앙로 1283 (장항동, 롯데백화점 일산점 판매동 지하2층 일부호)경기도 고양시 일산동구 장항동 784 롯데백화점 일산점 판매동 지하2층일부1040137.660473126.772096
7고양시윤호손수호두파이20211111영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 호수로 817, 현대백화점 킨텍스점 지하1층 (일부)호 (대화동)경기도 고양시 일산서구 대화동 2602 현대백화점 킨텍스점 지하1층 일부호1039137.667979126.751624
8고양시아띠몽2023-11-17영업<NA><NA><NA><NA>백화점경기도 고양시 일산서구 킨텍스로 171, 일산 킨텍스 복합개발 2층 일부호 (대화동)경기도 고양시 일산서구 대화동 2703 일산 킨텍스 복합개발 2층 일부호1039037.661567126.744104
9고양시(주)동해식품2023-11-28영업<NA><NA><NA><NA>백화점경기도 고양시 일산동구 중앙로 1283, 롯데백화점일산점 지하2층 일부호 (장항동)경기도 고양시 일산동구 장항동 784 롯데백화점일산점1040137.660473126.772096
시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
639하남시패트릭스 와플카페20211203폐업20221201<NA><NA><NA>백화점경기도 하남시 미사대로 750, 스타필드 하남 지하1층 (신장동)경기도 하남시 신장동 616 스타필드 하남1294237.545418127.223761
640하남시글라스빈2023-08-01폐업2023-08-31<NA><NA><NA>백화점경기도 하남시 미사대로 750, 스타필드 하남 신세계백화점 지1층 (신장동)경기도 하남시 신장동 616 스타필드 하남1294237.545418127.223761
641하남시바다맛이야기_꼬막미가20220607폐업20220623<NA><NA><NA>백화점경기도 하남시 미사대로 750, 신세계백화점 하남점 지하1층 (신장동)경기도 하남시 신장동 616 스타필드 하남1294237.545418127.223761
642화성시투게더2023-11-17영업<NA><NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지하1층 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924
643화성시(주)제이와이에스유통20221122폐업20221208<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 동탄역 롯데캐슬 지하1층 일부호 (오산동)경기도 화성시 오산동 967-157 동탄역 롯데캐슬 지하1층 일부호1847837.200675127.097924
644화성시버터맨션2023-10-05폐업2023-10-12<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지하1층 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924
645화성시골디스2023-10-05폐업2023-10-20<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지하1층 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924
646화성시쿠키앤모어2023-07-11폐업2023-07-31<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지2층 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924
647화성시(주)제이와이에스유통2023-12-29폐업2024-01-14<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지하1층 행사장 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924
648화성시리은푸드2024-01-08폐업2024-01-21<NA><NA><NA>백화점경기도 화성시 동탄역로 160, 롯데백화점 동탄점 지하1층 일부호 (오산동)경기도 화성시 오산동 1089 동탄역 롯데캐슬1847837.200675127.097924