Overview

Dataset statistics

Number of variables14
Number of observations1400
Missing cells4927
Missing cells (%)25.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.5 KiB
Average record size in memory118.1 B

Variable types

Categorical3
Text3
DateTime2
Unsupported3
Numeric3

Dataset

Description휴게음식점(다방) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=S8Q46BARFIX72K9AW86M13424791&infSeq=1

Alerts

위생업태명 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 2 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
영업상태명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
폐업일자 has 474 (33.9%) missing valuesMissing
다중이용업소여부 has 1400 (100.0%) missing valuesMissing
총시설규모(㎡) has 1400 (100.0%) missing valuesMissing
위생업종명 has 1400 (100.0%) missing valuesMissing
소재지도로명주소 has 111 (7.9%) missing valuesMissing
소재지우편번호 has 34 (2.4%) missing valuesMissing
WGS84위도 has 54 (3.9%) missing valuesMissing
WGS84경도 has 54 (3.9%) 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 started2024-05-10 21:58:00.003621
Analysis finished2024-05-10 21:58:06.040899
Duration6.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
부천시
691 
고양시
79 
평택시
 
51
용인시
 
49
화성시
 
48
Other values (25)
482 

Length

Max length4
Median length3
Mean length3.0178571
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 691
49.4%
고양시 79
 
5.6%
평택시 51
 
3.6%
용인시 49
 
3.5%
화성시 48
 
3.4%
오산시 45
 
3.2%
여주시 40
 
2.9%
수원시 38
 
2.7%
포천시 36
 
2.6%
안산시 35
 
2.5%
Other values (20) 288
20.6%

Length

2024-05-10T21:58:06.379273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 691
49.4%
고양시 79
 
5.6%
평택시 51
 
3.6%
용인시 49
 
3.5%
화성시 48
 
3.4%
오산시 45
 
3.2%
여주시 40
 
2.9%
수원시 38
 
2.7%
포천시 36
 
2.6%
안산시 35
 
2.5%
Other values (20) 288
20.6%

사업장명
Text

Distinct995
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-10T21:58:06.947375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length5.0464286
Min length1

Characters and Unicode

Total characters7065
Distinct characters550
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

Unique816 ?
Unique (%)58.3%

Sample

1st row길다방
2nd row금다방
3rd row금다방
4th row은하다방
5th row옛다방
ValueCountFrequency (%)
별다방 13
 
0.8%
수다방 12
 
0.8%
정다방 12
 
0.8%
복다방 11
 
0.7%
원다방 10
 
0.6%
수정다방 9
 
0.6%
꽃다방 9
 
0.6%
역전다방 9
 
0.6%
약속다방 9
 
0.6%
장미다방 8
 
0.5%
Other values (1088) 1438
93.4%
2024-05-10T21:58:08.008581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 935
 
13.2%
방 915
 
13.0%
피 244
 
3.5%
커 239
 
3.4%
140
 
2.0%
숍 133
 
1.9%
점 110
 
1.6%
스 93
 
1.3%
지 76
 
1.1%
수 70
 
1.0%
Other values (540) 4110
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6378
90.3%
Lowercase Letter 184
 
2.6%
Uppercase Letter 175
 
2.5%
Space Separator 140
 
2.0%
Close Punctuation 62
 
0.9%
Open Punctuation 62
 
0.9%
Decimal Number 49
 
0.7%
Other Punctuation 11
 
0.2%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 935
 
14.7%
방 915
 
14.3%
피 244
 
3.8%
커 239
 
3.7%
숍 133
 
2.1%
점 110
 
1.7%
스 93
 
1.5%
지 76
 
1.2%
수 70
 
1.1%
원 64
 
1.0%
Other values (473) 3499
54.9%
Uppercase Letter
ValueCountFrequency (%)
C 20
 
11.4%
A 19
 
10.9%
T 14
 
8.0%
E 13
 
7.4%
O 13
 
7.4%
D 12
 
6.9%
F 9
 
5.1%
S 9
 
5.1%
L 8
 
4.6%
G 7
 
4.0%
Other values (14) 51
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 39
21.2%
o 22
12.0%
f 22
12.0%
a 17
9.2%
n 10
 
5.4%
t 9
 
4.9%
s 8
 
4.3%
c 8
 
4.3%
l 8
 
4.3%
i 7
 
3.8%
Other values (13) 34
18.5%
Decimal Number
ValueCountFrequency (%)
2 10
20.4%
9 8
16.3%
8 6
12.2%
3 6
12.2%
5 5
10.2%
1 4
 
8.2%
4 4
 
8.2%
0 3
 
6.1%
7 3
 
6.1%
Other Punctuation
ValueCountFrequency (%)
& 4
36.4%
. 3
27.3%
/ 1
 
9.1%
' 1
 
9.1%
% 1
 
9.1%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6378
90.3%
Latin 359
 
5.1%
Common 328
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 935
 
14.7%
방 915
 
14.3%
피 244
 
3.8%
커 239
 
3.7%
숍 133
 
2.1%
점 110
 
1.7%
스 93
 
1.5%
지 76
 
1.2%
수 70
 
1.1%
원 64
 
1.0%
Other values (473) 3499
54.9%
Latin
ValueCountFrequency (%)
e 39
 
10.9%
o 22
 
6.1%
f 22
 
6.1%
C 20
 
5.6%
A 19
 
5.3%
a 17
 
4.7%
T 14
 
3.9%
E 13
 
3.6%
O 13
 
3.6%
D 12
 
3.3%
Other values (37) 168
46.8%
Common
ValueCountFrequency (%)
140
42.7%
) 62
18.9%
( 62
18.9%
2 10
 
3.0%
9 8
 
2.4%
8 6
 
1.8%
3 6
 
1.8%
5 5
 
1.5%
1 4
 
1.2%
& 4
 
1.2%
Other values (10) 21
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6378
90.3%
ASCII 687
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 935
 
14.7%
방 915
 
14.3%
피 244
 
3.8%
커 239
 
3.7%
숍 133
 
2.1%
점 110
 
1.7%
스 93
 
1.5%
지 76
 
1.2%
수 70
 
1.1%
원 64
 
1.0%
Other values (473) 3499
54.9%
ASCII
ValueCountFrequency (%)
140
20.4%
) 62
 
9.0%
( 62
 
9.0%
e 39
 
5.7%
o 22
 
3.2%
f 22
 
3.2%
C 20
 
2.9%
A 19
 
2.8%
a 17
 
2.5%
T 14
 
2.0%
Other values (57) 270
39.3%

인허가일자
Date

Distinct1247
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum1968-08-05 00:00:00
Maximum2024-04-30 00:00:00
2024-05-10T21:58:08.431184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:08.885644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
폐업
926 
영업
474 

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 926
66.1%
영업 474
33.9%

Length

2024-05-10T21:58:09.399530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:58:09.800717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 926
66.1%
영업 474
33.9%

폐업일자
Date

MISSING 

Distinct788
Distinct (%)85.1%
Missing474
Missing (%)33.9%
Memory size11.1 KiB
Minimum1997-06-03 00:00:00
Maximum2024-04-26 00:00:00
2024-05-10T21:58:10.244698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:10.741121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

다중이용업소여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1400
Missing (%)100.0%
Memory size12.4 KiB

총시설규모(㎡)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1400
Missing (%)100.0%
Memory size12.4 KiB

위생업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1400
Missing (%)100.0%
Memory size12.4 KiB

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
다방
1400 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다방 1400
100.0%

Length

2024-05-10T21:58:11.194541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:58:11.571515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다방 1400
100.0%

소재지도로명주소
Text

MISSING 

Distinct1235
Distinct (%)95.8%
Missing111
Missing (%)7.9%
Memory size11.1 KiB
2024-05-10T21:58:12.303169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length26.729247
Min length14

Characters and Unicode

Total characters34454
Distinct characters375
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

Unique1191 ?
Unique (%)92.4%

Sample

1st row경기도 가평군 가평읍 가화로 105
2nd row경기도 가평군 가평읍 가화로 55-18, 지하층
3rd row경기도 가평군 설악면 신천중앙로 91, B동 2층
4th row경기도 가평군 청평면 여울길 33, 1층
5th row경기도 가평군 청평면 청평중앙로 45, 2층
ValueCountFrequency (%)
경기도 1289
 
16.4%
부천시 603
 
7.7%
원미구 297
 
3.8%
1층 212
 
2.7%
소사구 203
 
2.6%
2층 141
 
1.8%
지하1층 98
 
1.2%
오정구 85
 
1.1%
고양시 79
 
1.0%
덕양구 75
 
1.0%
Other values (1696) 4767
60.7%
2024-05-10T21:58:13.892355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6577
 
19.1%
1 1428
 
4.1%
경 1414
 
4.1%
도 1339
 
3.9%
기 1316
 
3.8%
시 1287
 
3.7%
로 1217
 
3.5%
부 955
 
2.8%
2 861
 
2.5%
구 842
 
2.4%
Other values (365) 17218
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20204
58.6%
Space Separator 6577
 
19.1%
Decimal Number 5389
 
15.6%
Other Punctuation 687
 
2.0%
Open Punctuation 640
 
1.9%
Close Punctuation 640
 
1.9%
Dash Punctuation 253
 
0.7%
Uppercase Letter 53
 
0.2%
Lowercase Letter 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1414
 
7.0%
도 1339
 
6.6%
기 1316
 
6.5%
시 1287
 
6.4%
로 1217
 
6.0%
부 955
 
4.7%
구 842
 
4.2%
천 815
 
4.0%
동 713
 
3.5%
층 595
 
2.9%
Other values (320) 9711
48.1%
Uppercase Letter
ValueCountFrequency (%)
B 12
22.6%
A 10
18.9%
D 3
 
5.7%
L 3
 
5.7%
S 3
 
5.7%
I 3
 
5.7%
T 3
 
5.7%
K 2
 
3.8%
G 2
 
3.8%
U 2
 
3.8%
Other values (10) 10
18.9%
Decimal Number
ValueCountFrequency (%)
1 1428
26.5%
2 861
16.0%
3 520
 
9.6%
4 465
 
8.6%
5 413
 
7.7%
0 385
 
7.1%
6 362
 
6.7%
8 335
 
6.2%
7 332
 
6.2%
9 288
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
e 2
20.0%
r 1
10.0%
b 1
10.0%
n 1
10.0%
p 1
10.0%
l 1
10.0%
c 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 684
99.6%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
6577
100.0%
Open Punctuation
ValueCountFrequency (%)
( 640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20204
58.6%
Common 14187
41.2%
Latin 63
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1414
 
7.0%
도 1339
 
6.6%
기 1316
 
6.5%
시 1287
 
6.4%
로 1217
 
6.0%
부 955
 
4.7%
구 842
 
4.2%
천 815
 
4.0%
동 713
 
3.5%
층 595
 
2.9%
Other values (320) 9711
48.1%
Latin
ValueCountFrequency (%)
B 12
19.0%
A 10
15.9%
D 3
 
4.8%
L 3
 
4.8%
S 3
 
4.8%
I 3
 
4.8%
T 3
 
4.8%
K 2
 
3.2%
G 2
 
3.2%
a 2
 
3.2%
Other values (18) 20
31.7%
Common
ValueCountFrequency (%)
6577
46.4%
1 1428
 
10.1%
2 861
 
6.1%
, 684
 
4.8%
( 640
 
4.5%
) 640
 
4.5%
3 520
 
3.7%
4 465
 
3.3%
5 413
 
2.9%
0 385
 
2.7%
Other values (7) 1574
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20204
58.6%
ASCII 14250
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6577
46.2%
1 1428
 
10.0%
2 861
 
6.0%
, 684
 
4.8%
( 640
 
4.5%
) 640
 
4.5%
3 520
 
3.6%
4 465
 
3.3%
5 413
 
2.9%
0 385
 
2.7%
Other values (35) 1637
 
11.5%
Hangul
ValueCountFrequency (%)
경 1414
 
7.0%
도 1339
 
6.6%
기 1316
 
6.5%
시 1287
 
6.4%
로 1217
 
6.0%
부 955
 
4.7%
구 842
 
4.2%
천 815
 
4.0%
동 713
 
3.5%
층 595
 
2.9%
Other values (320) 9711
48.1%

소재지지번주소
Text

Distinct1342
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-10T21:58:14.612175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length24.400714
Min length15

Characters and Unicode

Total characters34161
Distinct characters344
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

Unique1293 ?
Unique (%)92.4%

Sample

1st row경기도 가평군 가평읍 읍내리 476-9
2nd row경기도 가평군 가평읍 대곡리 230-4 외 1필지, 지하층
3rd row경기도 가평군 설악면 신천리 408-27 외 2필지(408-3, 408-6) B동 2층
4th row경기도 가평군 청평면 청평리 419-1 외1필지
5th row경기도 가평군 청평면 청평리 465-40
ValueCountFrequency (%)
경기도 1400
 
18.2%
부천시 691
 
9.0%
원미구 323
 
4.2%
소사구 245
 
3.2%
지하1층 120
 
1.6%
심곡동 118
 
1.5%
오정구 105
 
1.4%
2층 103
 
1.3%
1층 84
 
1.1%
심곡본동 79
 
1.0%
Other values (1862) 4421
57.5%
2024-05-10T21:58:15.819540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7642
22.4%
1 1536
 
4.5%
도 1463
 
4.3%
기 1418
 
4.2%
경 1405
 
4.1%
시 1378
 
4.0%
- 1194
 
3.5%
동 1185
 
3.5%
2 970
 
2.8%
구 928
 
2.7%
Other values (334) 15042
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18386
53.8%
Space Separator 7642
22.4%
Decimal Number 6615
 
19.4%
Dash Punctuation 1194
 
3.5%
Other Punctuation 163
 
0.5%
Open Punctuation 54
 
0.2%
Close Punctuation 54
 
0.2%
Uppercase Letter 43
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1463
 
8.0%
기 1418
 
7.7%
경 1405
 
7.6%
시 1378
 
7.5%
동 1185
 
6.4%
구 928
 
5.0%
부 815
 
4.4%
천 811
 
4.4%
원 533
 
2.9%
층 413
 
2.2%
Other values (294) 8037
43.7%
Uppercase Letter
ValueCountFrequency (%)
A 11
25.6%
B 10
23.3%
I 3
 
7.0%
L 3
 
7.0%
K 2
 
4.7%
G 2
 
4.7%
S 2
 
4.7%
D 2
 
4.7%
E 1
 
2.3%
C 1
 
2.3%
Other values (6) 6
14.0%
Decimal Number
ValueCountFrequency (%)
1 1536
23.2%
2 970
14.7%
3 684
10.3%
4 619
9.4%
7 523
 
7.9%
5 519
 
7.8%
6 508
 
7.7%
0 470
 
7.1%
8 428
 
6.5%
9 358
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
a 2
20.0%
r 1
10.0%
b 1
10.0%
n 1
10.0%
p 1
10.0%
l 1
10.0%
c 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 162
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
7642
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18386
53.8%
Common 15722
46.0%
Latin 53
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1463
 
8.0%
기 1418
 
7.7%
경 1405
 
7.6%
시 1378
 
7.5%
동 1185
 
6.4%
구 928
 
5.0%
부 815
 
4.4%
천 811
 
4.4%
원 533
 
2.9%
층 413
 
2.2%
Other values (294) 8037
43.7%
Latin
ValueCountFrequency (%)
A 11
20.8%
B 10
18.9%
I 3
 
5.7%
L 3
 
5.7%
K 2
 
3.8%
G 2
 
3.8%
S 2
 
3.8%
D 2
 
3.8%
e 2
 
3.8%
a 2
 
3.8%
Other values (14) 14
26.4%
Common
ValueCountFrequency (%)
7642
48.6%
1 1536
 
9.8%
- 1194
 
7.6%
2 970
 
6.2%
3 684
 
4.4%
4 619
 
3.9%
7 523
 
3.3%
5 519
 
3.3%
6 508
 
3.2%
0 470
 
3.0%
Other values (6) 1057
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18386
53.8%
ASCII 15775
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7642
48.4%
1 1536
 
9.7%
- 1194
 
7.6%
2 970
 
6.1%
3 684
 
4.3%
4 619
 
3.9%
7 523
 
3.3%
5 519
 
3.3%
6 508
 
3.2%
0 470
 
3.0%
Other values (30) 1110
 
7.0%
Hangul
ValueCountFrequency (%)
도 1463
 
8.0%
기 1418
 
7.7%
경 1405
 
7.6%
시 1378
 
7.5%
동 1185
 
6.4%
구 928
 
5.0%
부 815
 
4.4%
천 811
 
4.4%
원 533
 
2.9%
층 413
 
2.2%
Other values (294) 8037
43.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct555
Distinct (%)40.6%
Missing34
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean14513.583
Minimum10011
Maximum18628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-05-10T21:58:16.243227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10532
Q114009
median14636.5
Q314923
95-th percentile18136
Maximum18628
Range8617
Interquartile range (IQR)914

Descriptive statistics

Standard deviation2139.3972
Coefficient of variation (CV)0.14740654
Kurtosis-0.23785346
Mean14513.583
Median Absolute Deviation (MAD)341
Skewness-0.17474361
Sum19825555
Variance4577020.3
MonotonicityNot monotonic
2024-05-10T21:58:16.785836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18136 40
 
2.9%
18593 19
 
1.4%
14676 16
 
1.1%
14644 15
 
1.1%
14711 14
 
1.0%
12662 14
 
1.0%
14709 13
 
0.9%
14637 13
 
0.9%
17529 12
 
0.9%
12804 12
 
0.9%
Other values (545) 1198
85.6%
(Missing) 34
 
2.4%
ValueCountFrequency (%)
10011 2
 
0.1%
10012 2
 
0.1%
10018 3
0.2%
10019 1
 
0.1%
10024 3
0.2%
10038 1
 
0.1%
10039 1
 
0.1%
10040 2
 
0.1%
10059 7
0.5%
10071 1
 
0.1%
ValueCountFrequency (%)
18628 1
 
0.1%
18593 19
1.4%
18584 1
 
0.1%
18567 7
 
0.5%
18565 2
 
0.1%
18555 1
 
0.1%
18554 1
 
0.1%
18550 6
 
0.4%
18536 1
 
0.1%
18453 1
 
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1180
Distinct (%)87.7%
Missing54
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean37.451157
Minimum36.960777
Maximum38.237775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-05-10T21:58:17.248025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960777
5-th percentile37.082084
Q137.331882
median37.484477
Q337.516161
95-th percentile37.823831
Maximum38.237775
Range1.2769986
Interquartile range (IQR)0.18427861

Descriptive statistics

Standard deviation0.20794896
Coefficient of variation (CV)0.0055525376
Kurtosis0.89555897
Mean37.451157
Median Absolute Deviation (MAD)0.043418922
Skewness0.097356032
Sum50409.258
Variance0.043242769
MonotonicityNot monotonic
2024-05-10T21:58:17.660443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4888795916 8
 
0.6%
37.4859752328 5
 
0.4%
37.4443312321 5
 
0.4%
37.4802884651 4
 
0.3%
37.4845896063 4
 
0.3%
37.4844772194 4
 
0.3%
37.6470962619 4
 
0.3%
37.4881650446 3
 
0.2%
37.4817189368 3
 
0.2%
37.5074334108 3
 
0.2%
Other values (1170) 1303
93.1%
(Missing) 54
 
3.9%
ValueCountFrequency (%)
36.9607766668 1
0.1%
36.9814615099 1
0.1%
36.9826419443 1
0.1%
36.9850264279 1
0.1%
36.9854937488 1
0.1%
36.98559339 2
0.1%
36.9860315552 1
0.1%
36.986932413 1
0.1%
36.9873525812 1
0.1%
36.9880172777 1
0.1%
ValueCountFrequency (%)
38.2377752932 1
0.1%
38.185096312 1
0.1%
38.1849330573 1
0.1%
38.1582139526 1
0.1%
38.1579071602 1
0.1%
38.1576922198 1
0.1%
38.1332143111 1
0.1%
38.0993884751 1
0.1%
38.0888211204 1
0.1%
38.0289295431 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1180
Distinct (%)87.7%
Missing54
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean126.9311
Minimum126.55305
Maximum127.75406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2024-05-10T21:58:18.131207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55305
5-th percentile126.75529
Q1126.78171
median126.80546
Q3127.06847
95-th percentile127.49202
Maximum127.75406
Range1.2010062
Interquartile range (IQR)0.28675852

Descriptive statistics

Standard deviation0.23233575
Coefficient of variation (CV)0.0018304084
Kurtosis1.2243963
Mean126.9311
Median Absolute Deviation (MAD)0.035614978
Skewness1.4279201
Sum170849.26
Variance0.053979901
MonotonicityNot monotonic
2024-05-10T21:58:18.604200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7552924952 8
 
0.6%
126.7782037425 5
 
0.4%
126.8072672447 5
 
0.4%
126.8038649414 4
 
0.3%
126.7741903836 4
 
0.3%
126.8111216266 4
 
0.3%
126.8948092677 4
 
0.3%
126.7649708835 3
 
0.2%
126.8034105599 3
 
0.2%
126.7806786828 3
 
0.2%
Other values (1170) 1303
93.1%
(Missing) 54
 
3.9%
ValueCountFrequency (%)
126.553049661 1
0.1%
126.5543027257 1
0.1%
126.5551563238 1
0.1%
126.5643533231 1
0.1%
126.5829862284 1
0.1%
126.5837814903 1
0.1%
126.5850899383 1
0.1%
126.5955689002 1
0.1%
126.5980294055 1
0.1%
126.5989309025 1
0.1%
ValueCountFrequency (%)
127.7540559028 1
0.1%
127.7536725702 1
0.1%
127.6804790353 1
0.1%
127.6616256229 1
0.1%
127.640100545 1
0.1%
127.6378200776 1
0.1%
127.6346740016 1
0.1%
127.6339385303 1
0.1%
127.6337746972 1
0.1%
127.6330242422 1
0.1%

Interactions

2024-05-10T21:58:03.648603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:01.892359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:02.721434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:04.101353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:02.154088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:02.992429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:04.408619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:02.445706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:58:03.356340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:58:18.878905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명소재지우편번호WGS84위도WGS84경도
시군명1.0000.7131.0000.9860.961
영업상태명0.7131.0000.7080.6920.532
소재지우편번호1.0000.7081.0000.9480.889
WGS84위도0.9860.6920.9481.0000.791
WGS84경도0.9610.5320.8890.7911.000
2024-05-10T21:58:19.150711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명
시군명1.0000.574
영업상태명0.5741.000
2024-05-10T21:58:19.397701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명영업상태명
소재지우편번호1.000-0.8340.0620.9610.553
WGS84위도-0.8341.000-0.3460.8080.538
WGS84경도0.062-0.3461.0000.6960.408
시군명0.9610.8080.6961.0000.574
영업상태명0.5530.5380.4080.5741.000

Missing values

2024-05-10T21:58:04.819345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:58:05.448146image/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.
2024-05-10T21:58:05.839270image/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
0가평군길다방2009-12-03영업<NA><NA><NA><NA>다방경기도 가평군 가평읍 가화로 105경기도 가평군 가평읍 읍내리 476-91241837.829076127.513886
1가평군금다방20110811영업<NA><NA><NA><NA>다방경기도 가평군 가평읍 가화로 55-18, 지하층경기도 가평군 가평읍 대곡리 230-4 외 1필지, 지하층1242037.824984127.51467
2가평군금다방2020-06-19영업<NA><NA><NA><NA>다방경기도 가평군 설악면 신천중앙로 91, B동 2층경기도 가평군 설악면 신천리 408-27 외 2필지(408-3, 408-6) B동 2층1246737.676707127.493139
3가평군은하다방20220203영업<NA><NA><NA><NA>다방경기도 가평군 청평면 여울길 33, 1층경기도 가평군 청평면 청평리 419-1 외1필지1245337.736718127.419499
4가평군옛다방2017-12-14영업<NA><NA><NA><NA>다방경기도 가평군 청평면 청평중앙로 45, 2층경기도 가평군 청평면 청평리 465-401245237.737862127.419486
5가평군유혹다방2018-11-28영업<NA><NA><NA><NA>다방경기도 가평군 조종면 조종새싹로4번길 11, 2층경기도 가평군 조종면 현리 264-61243737.819057127.349442
6가평군수2023-08-18영업<NA><NA><NA><NA>다방경기도 가평군 조종면 현창로44번길 19, 2층경기도 가평군 조종면 현리 275-9 외2필지(277-3,589-1) 2층1243737.820373127.349144
7가평군꽃다방2010-11-02영업<NA><NA><NA><NA>다방경기도 가평군 설악면 신천중앙로 93 (외 1필지)경기도 가평군 설악면 신천리 410-2 외 1필지1246737.676779127.492969
8가평군황제다방20050801영업<NA><NA><NA><NA>다방경기도 가평군 조종면 조종희망로5번길 20, A동 1층경기도 가평군 조종면 현리 262-35 외 1필지, A동 1충1243737.819878127.349884
9가평군진다방2018-11-01영업<NA><NA><NA><NA>다방경기도 가평군 조종면 조종희망로5번길 24, 1층경기도 가평군 조종면 현리 262-1 1층1243737.82004127.349917
시군명사업장명인허가일자영업상태명폐업일자다중이용업소여부총시설규모(㎡)위생업종명위생업태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
1390화성시벌떼다방1982-12-27폐업2023-06-15<NA><NA><NA>다방경기도 화성시 우정읍 조암남로 18 (2층)경기도 화성시 우정읍 조암리 350-15 2층1856737.082814126.817721
1391화성시야다방2016-12-12폐업2024-03-05<NA><NA><NA>다방경기도 화성시 향남읍 배터길 10 (1층 103호)경기도 화성시 향남읍 평리 95-1 1층 103호1859337.132501126.906621
1392화성시미미다방2016-06-14폐업2024-04-25<NA><NA><NA>다방경기도 화성시 송산면 사강시장길25번길 19, 1층경기도 화성시 송산면 사강리 687-21 1층1855037.214322126.733971
1393화성시사강꼬마김밥20150914폐업20211123<NA><NA><NA>다방경기도 화성시 송산면 송산포도로 132-1, 1층경기도 화성시 송산면 사강리 6051855037.214919126.734348
1394화성시한일다방2008-06-27폐업2023-04-07<NA><NA><NA>다방경기도 화성시 우정읍 조암남로 28경기도 화성시 우정읍 조암리 270-71856737.083531126.818468
1395화성시복다방20150320폐업20211207<NA><NA><NA>다방경기도 화성시 장안면 3.1만세로 117경기도 화성시 장안면 어은리 418-151858437.086025126.82585
1396화성시밍키다방20200703폐업20220823<NA><NA><NA>다방경기도 화성시 우정읍 조암로 21, 1층 일부경기도 화성시 우정읍 조암리 217-141856737.085058126.819209
1397화성시별다방19860506폐업20220207<NA><NA><NA>다방경기도 화성시 우정읍 조암로 19경기도 화성시 우정읍 조암리 217-101856737.084887126.819233
1398화성시그린다방20020322폐업20220302<NA><NA><NA>다방경기도 화성시 남양읍 남양시장로66번길 9-10 (남양동)경기도 화성시 남양읍 남양리 1211-21826137.20884126.817749
1399화성시하늘다방20131212폐업20211015<NA><NA><NA>다방경기도 화성시 향남읍 평1길 10 (2층)경기도 화성시 향남읍 평리 84-81859337.132399126.909673