Overview

Dataset statistics

Number of variables10
Number of observations1140
Missing cells197
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.2 KiB
Average record size in memory80.1 B

Variable types

Categorical5
Text3
DateTime2

Dataset

Description경기도 김포시 쓰레기종량제 본투판매업체 현황(시군명, 사업장명, 인허가일자,영업상태명, 신청일자, 업소구분명, 항목값, 소재지지번주소, 소재지도로명주소, 데이터 기준일자)의 데이터를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/3066062/fileData.do

Alerts

시군명 has constant value ""Constant
영업상태명 has constant value ""Constant
업소구분명 has constant value ""Constant
항목값 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지지번주소 has 98 (8.6%) missing valuesMissing
소재지도로명주소 has 99 (8.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:17:36.185126
Analysis finished2023-12-12 13:17:37.104170
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
김포시
1140 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김포시 1140
100.0%

Length

2023-12-12T22:17:37.165525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:37.252356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김포시 1140
100.0%

사업장명
Text

Distinct1093
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-12T22:17:37.564941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length9.5877193
Min length2

Characters and Unicode

Total characters10930
Distinct characters453
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1051 ?
Unique (%)92.2%

Sample

1st row두밀상회
2nd row김포농협
3rd row우리상회
4th row삼보유통
5th row만남미니슈퍼
ValueCountFrequency (%)
씨유 152
 
7.9%
세븐일레븐 131
 
6.8%
지에스25 77
 
4.0%
이마트24 66
 
3.4%
gs25 51
 
2.7%
주)코리아세븐 24
 
1.3%
주식회사 22
 
1.1%
미니스톱 14
 
0.7%
김포 10
 
0.5%
cu 10
 
0.5%
Other values (1105) 1359
70.9%
2023-12-12T22:17:38.064960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
783
 
7.2%
점 750
 
6.9%
포 498
 
4.6%
김 474
 
4.3%
마 336
 
3.1%
븐 309
 
2.8%
스 275
 
2.5%
트 274
 
2.5%
2 270
 
2.5%
유 221
 
2.0%
Other values (443) 6740
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8940
81.8%
Space Separator 783
 
7.2%
Decimal Number 571
 
5.2%
Uppercase Letter 332
 
3.0%
Close Punctuation 135
 
1.2%
Open Punctuation 134
 
1.2%
Lowercase Letter 21
 
0.2%
Other Punctuation 10
 
0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 750
 
8.4%
포 498
 
5.6%
김 474
 
5.3%
마 336
 
3.8%
븐 309
 
3.5%
스 275
 
3.1%
트 274
 
3.1%
유 221
 
2.5%
씨 187
 
2.1%
이 180
 
2.0%
Other values (391) 5436
60.8%
Uppercase Letter
ValueCountFrequency (%)
S 105
31.6%
G 101
30.4%
C 33
 
9.9%
U 28
 
8.4%
R 9
 
2.7%
A 7
 
2.1%
K 7
 
2.1%
E 6
 
1.8%
I 6
 
1.8%
H 5
 
1.5%
Other values (11) 25
 
7.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
28.6%
a 3
14.3%
y 2
 
9.5%
d 2
 
9.5%
s 2
 
9.5%
c 1
 
4.8%
m 1
 
4.8%
r 1
 
4.8%
t 1
 
4.8%
u 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 270
47.3%
5 188
32.9%
4 76
 
13.3%
1 16
 
2.8%
6 8
 
1.4%
3 8
 
1.4%
0 3
 
0.5%
7 1
 
0.2%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 5
50.0%
& 3
30.0%
· 1
 
10.0%
/ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 134
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 133
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
783
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8942
81.8%
Common 1635
 
15.0%
Latin 353
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 750
 
8.4%
포 498
 
5.6%
김 474
 
5.3%
마 336
 
3.8%
븐 309
 
3.5%
스 275
 
3.1%
트 274
 
3.1%
유 221
 
2.5%
씨 187
 
2.1%
이 180
 
2.0%
Other values (392) 5438
60.8%
Latin
ValueCountFrequency (%)
S 105
29.7%
G 101
28.6%
C 33
 
9.3%
U 28
 
7.9%
R 9
 
2.5%
A 7
 
2.0%
K 7
 
2.0%
e 6
 
1.7%
E 6
 
1.7%
I 6
 
1.7%
Other values (22) 45
12.7%
Common
ValueCountFrequency (%)
783
47.9%
2 270
 
16.5%
5 188
 
11.5%
) 134
 
8.2%
( 133
 
8.1%
4 76
 
4.6%
1 16
 
1.0%
6 8
 
0.5%
3 8
 
0.5%
, 5
 
0.3%
Other values (9) 14
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8940
81.8%
ASCII 1987
 
18.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
783
39.4%
2 270
 
13.6%
5 188
 
9.5%
) 134
 
6.7%
( 133
 
6.7%
S 105
 
5.3%
G 101
 
5.1%
4 76
 
3.8%
C 33
 
1.7%
U 28
 
1.4%
Other values (40) 136
 
6.8%
Hangul
ValueCountFrequency (%)
점 750
 
8.4%
포 498
 
5.6%
김 474
 
5.3%
마 336
 
3.8%
븐 309
 
3.5%
스 275
 
3.1%
트 274
 
3.1%
유 221
 
2.5%
씨 187
 
2.1%
이 180
 
2.0%
Other values (391) 5436
60.8%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%

인허가일자
Date

Distinct794
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum1995-01-01 00:00:00
Maximum2023-09-08 00:00:00
2023-12-12T22:17:38.220220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:38.381246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업중
1140 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1140
100.0%

Length

2023-12-12T22:17:38.514597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:38.616930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1140
100.0%

신청일자
Date

Distinct920
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum1995-01-01 00:00:00
Maximum2023-09-07 00:00:00
2023-12-12T22:17:38.722664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:38.883531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
지정
1140 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 1140
100.0%

Length

2023-12-12T22:17:39.000410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:39.095961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 1140
100.0%

항목값
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
관급봉투
1140 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 1140
100.0%

Length

2023-12-12T22:17:39.202998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:39.286184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 1140
100.0%

소재지지번주소
Text

MISSING 

Distinct1010
Distinct (%)96.9%
Missing98
Missing (%)8.6%
Memory size9.0 KiB
2023-12-12T22:17:39.543070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length31.854127
Min length17

Characters and Unicode

Total characters33192
Distinct characters334
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique980 ?
Unique (%)94.0%

Sample

1st row경기도 김포시 중구로 79-1 (북변동)
2nd row경기도 김포시 북변중로68번길 7 (북변동)
3rd row경기도 김포시 북변로 22-1 (북변동)
4th row경기도 김포시 북변1로16번길 37 (북변동, 북변빌딩 22)
5th row경기도 김포시 북변중로25번길 25 (북변동)
ValueCountFrequency (%)
경기도 1042
 
15.2%
김포시 1042
 
15.2%
1층 277
 
4.0%
양촌읍 126
 
1.8%
장기동 119
 
1.7%
통진읍 108
 
1.6%
대곶면 98
 
1.4%
구래동 97
 
1.4%
풍무동 85
 
1.2%
101호 76
 
1.1%
Other values (1298) 3771
55.1%
2023-12-12T22:17:40.014668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5861
 
17.7%
1 2101
 
6.3%
포 1483
 
4.5%
김 1431
 
4.3%
기 1187
 
3.6%
시 1115
 
3.4%
도 1105
 
3.3%
로 1055
 
3.2%
경 1052
 
3.2%
, 1039
 
3.1%
Other values (324) 15763
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18199
54.8%
Decimal Number 6560
 
19.8%
Space Separator 5861
 
17.7%
Other Punctuation 1040
 
3.1%
Close Punctuation 625
 
1.9%
Open Punctuation 624
 
1.9%
Dash Punctuation 190
 
0.6%
Uppercase Letter 66
 
0.2%
Lowercase Letter 13
 
< 0.1%
Math Symbol 12
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 1483
 
8.1%
김 1431
 
7.9%
기 1187
 
6.5%
시 1115
 
6.1%
도 1105
 
6.1%
로 1055
 
5.8%
경 1052
 
5.8%
동 799
 
4.4%
호 553
 
3.0%
한 386
 
2.1%
Other values (285) 8033
44.1%
Uppercase Letter
ValueCountFrequency (%)
B 34
51.5%
A 14
21.2%
S 4
 
6.1%
R 2
 
3.0%
F 2
 
3.0%
T 1
 
1.5%
G 1
 
1.5%
C 1
 
1.5%
D 1
 
1.5%
K 1
 
1.5%
Other values (5) 5
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 2101
32.0%
0 853
13.0%
2 780
 
11.9%
3 578
 
8.8%
4 441
 
6.7%
8 397
 
6.1%
5 387
 
5.9%
7 376
 
5.7%
6 361
 
5.5%
9 286
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
61.5%
b 2
 
15.4%
o 1
 
7.7%
r 1
 
7.7%
w 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1039
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5861
100.0%
Close Punctuation
ValueCountFrequency (%)
) 625
100.0%
Open Punctuation
ValueCountFrequency (%)
( 624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18199
54.8%
Common 14913
44.9%
Latin 80
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 1483
 
8.1%
김 1431
 
7.9%
기 1187
 
6.5%
시 1115
 
6.1%
도 1105
 
6.1%
로 1055
 
5.8%
경 1052
 
5.8%
동 799
 
4.4%
호 553
 
3.0%
한 386
 
2.1%
Other values (285) 8033
44.1%
Latin
ValueCountFrequency (%)
B 34
42.5%
A 14
17.5%
e 8
 
10.0%
S 4
 
5.0%
R 2
 
2.5%
F 2
 
2.5%
b 2
 
2.5%
o 1
 
1.2%
T 1
 
1.2%
G 1
 
1.2%
Other values (11) 11
 
13.8%
Common
ValueCountFrequency (%)
5861
39.3%
1 2101
 
14.1%
, 1039
 
7.0%
0 853
 
5.7%
2 780
 
5.2%
) 625
 
4.2%
( 624
 
4.2%
3 578
 
3.9%
4 441
 
3.0%
8 397
 
2.7%
Other values (8) 1614
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18199
54.8%
ASCII 14992
45.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5861
39.1%
1 2101
 
14.0%
, 1039
 
6.9%
0 853
 
5.7%
2 780
 
5.2%
) 625
 
4.2%
( 624
 
4.2%
3 578
 
3.9%
4 441
 
2.9%
8 397
 
2.6%
Other values (28) 1693
 
11.3%
Hangul
ValueCountFrequency (%)
포 1483
 
8.1%
김 1431
 
7.9%
기 1187
 
6.5%
시 1115
 
6.1%
도 1105
 
6.1%
로 1055
 
5.8%
경 1052
 
5.8%
동 799
 
4.4%
호 553
 
3.0%
한 386
 
2.1%
Other values (285) 8033
44.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct943
Distinct (%)90.6%
Missing99
Missing (%)8.7%
Memory size9.0 KiB
2023-12-12T22:17:40.262120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length23.866475
Min length12

Characters and Unicode

Total characters24845
Distinct characters302
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique867 ?
Unique (%)83.3%

Sample

1st row경기도 김포시 북변동 284-12
2nd row경기도 김포시 북변동 289-2
3rd row경기도 김포시 북변동 299-24
4th row경기도 김포시 북변동 750 북변빌딩 22
5th row경기도 김포시 북변동 421-6
ValueCountFrequency (%)
경기도 1041
19.3%
김포시 1041
19.3%
장기동 127
 
2.4%
양촌읍 125
 
2.3%
통진읍 112
 
2.1%
대곶면 93
 
1.7%
구래동 88
 
1.6%
풍무동 88
 
1.6%
고촌읍 71
 
1.3%
사우동 58
 
1.1%
Other values (1278) 2542
47.2%
2023-12-12T22:17:40.655974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5249
21.1%
기 1172
 
4.7%
포 1114
 
4.5%
1 1114
 
4.5%
도 1109
 
4.5%
시 1106
 
4.5%
김 1075
 
4.3%
경 1050
 
4.2%
- 725
 
2.9%
동 645
 
2.6%
Other values (292) 10486
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13747
55.3%
Space Separator 5249
 
21.1%
Decimal Number 5012
 
20.2%
Dash Punctuation 725
 
2.9%
Uppercase Letter 46
 
0.2%
Other Punctuation 36
 
0.1%
Lowercase Letter 15
 
0.1%
Math Symbol 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1172
 
8.5%
포 1114
 
8.1%
도 1109
 
8.1%
시 1106
 
8.0%
김 1075
 
7.8%
경 1050
 
7.6%
동 645
 
4.7%
리 481
 
3.5%
읍 308
 
2.2%
양 243
 
1.8%
Other values (256) 5444
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 18
39.1%
A 14
30.4%
L 4
 
8.7%
G 1
 
2.2%
T 1
 
2.2%
R 1
 
2.2%
K 1
 
2.2%
P 1
 
2.2%
D 1
 
2.2%
I 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 1114
22.2%
2 590
11.8%
0 499
10.0%
3 492
9.8%
6 455
9.1%
8 443
 
8.8%
4 428
 
8.5%
5 396
 
7.9%
7 323
 
6.4%
9 272
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
46.7%
b 3
20.0%
a 2
 
13.3%
o 1
 
6.7%
w 1
 
6.7%
r 1
 
6.7%
Space Separator
ValueCountFrequency (%)
5249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 725
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13747
55.3%
Common 11035
44.4%
Latin 63
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1172
 
8.5%
포 1114
 
8.1%
도 1109
 
8.1%
시 1106
 
8.0%
김 1075
 
7.8%
경 1050
 
7.6%
동 645
 
4.7%
리 481
 
3.5%
읍 308
 
2.2%
양 243
 
1.8%
Other values (256) 5444
39.6%
Latin
ValueCountFrequency (%)
B 18
28.6%
A 14
22.2%
e 7
 
11.1%
L 4
 
6.3%
b 3
 
4.8%
Ⅱ 2
 
3.2%
a 2
 
3.2%
G 1
 
1.6%
T 1
 
1.6%
o 1
 
1.6%
Other values (10) 10
15.9%
Common
ValueCountFrequency (%)
5249
47.6%
1 1114
 
10.1%
- 725
 
6.6%
2 590
 
5.3%
0 499
 
4.5%
3 492
 
4.5%
6 455
 
4.1%
8 443
 
4.0%
4 428
 
3.9%
5 396
 
3.6%
Other values (6) 644
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13747
55.3%
ASCII 11096
44.7%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5249
47.3%
1 1114
 
10.0%
- 725
 
6.5%
2 590
 
5.3%
0 499
 
4.5%
3 492
 
4.4%
6 455
 
4.1%
8 443
 
4.0%
4 428
 
3.9%
5 396
 
3.6%
Other values (25) 705
 
6.4%
Hangul
ValueCountFrequency (%)
기 1172
 
8.5%
포 1114
 
8.1%
도 1109
 
8.1%
시 1106
 
8.0%
김 1075
 
7.8%
경 1050
 
7.6%
동 645
 
4.7%
리 481
 
3.5%
읍 308
 
2.2%
양 243
 
1.8%
Other values (256) 5444
39.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-09-18
1140 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-18
2nd row2023-09-18
3rd row2023-09-18
4th row2023-09-18
5th row2023-09-18

Common Values

ValueCountFrequency (%)
2023-09-18 1140
100.0%

Length

2023-12-12T22:17:41.040803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:17:41.123557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-18 1140
100.0%

Missing values

2023-12-12T22:17:36.806346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:17:36.954421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T22:17:37.052227image/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

시군명사업장명인허가일자영업상태명신청일자업소구분명항목값소재지지번주소소재지도로명주소데이터기준일자
0김포시두밀상회1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 중구로 79-1 (북변동)경기도 김포시 북변동 284-122023-09-18
1김포시김포농협1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 북변중로68번길 7 (북변동)경기도 김포시 북변동 289-22023-09-18
2김포시우리상회1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 북변로 22-1 (북변동)경기도 김포시 북변동 299-242023-09-18
3김포시삼보유통1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 북변1로16번길 37 (북변동, 북변빌딩 22)경기도 김포시 북변동 750 북변빌딩 222023-09-18
4김포시만남미니슈퍼1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 북변중로25번길 25 (북변동)경기도 김포시 북변동 421-62023-09-18
5김포시그린슈퍼1995-01-01영업중1995-01-01지정관급봉투<NA>경기도 김포시 감정동 한국상가 1072023-09-18
6김포시한일미니슈퍼1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 돌문로105번길 9, 1동 101호 (사우동, 동산타운)경기도 김포시 사우동 201-63 동산타운 1동 101호2023-09-18
7김포시원미슈퍼1995-01-01영업중1995-01-01지정관급봉투<NA>경기도 김포시 사우동 3002023-09-18
8김포시대성슈퍼1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 사우중로11번길 7 (사우동)경기도 김포시 사우동 2542023-09-18
9김포시수정슈퍼1995-01-01영업중1995-01-01지정관급봉투경기도 김포시 돌문로95번길 14 (사우동)경기도 김포시 사우동 204-182023-09-18
시군명사업장명인허가일자영업상태명신청일자업소구분명항목값소재지지번주소소재지도로명주소데이터기준일자
1130김포시주식회사 가람식자재마트2023-07-14영업중2023-07-13지정관급봉투경기도 김포시 대곶면 율생중앙로 21, 1층경기도 김포시 대곶면 율생리 517-52023-09-18
1131김포시지에스25 장릉검단점2023-07-19영업중2023-07-19지정관급봉투경기도 김포시 승가로 96, 1층 (풍무동)경기도 김포시 풍무동 675-412023-09-18
1132김포시씨유 김포호반더레이크점2023-07-25영업중2023-07-24지정관급봉투경기도 김포시 김포한강4로420번길 19, 510동 103,104호 (구래동, 호반베르디움 더 레이크 5차)경기도 김포시 구래동 6877-2 호반베르디움 더 레이크 5차2023-09-18
1133김포시현대인테리어2023-07-28영업중2023-07-25지정관급봉투경기도 김포시 양촌읍 양곡1로 55-1, 101호경기도 김포시 양촌읍 양곡리 432-12023-09-18
1134김포시지에스25 마송샛별점2023-07-28영업중2023-07-25지정관급봉투경기도 김포시 통진읍 조강로 49-1, 1층경기도 김포시 통진읍 마송리 104-102023-09-18
1135김포시지에스25 하성로드점2023-07-28영업중2023-07-26지정관급봉투경기도 김포시 하성면 하성로 669경기도 김포시 하성면 양택리 166-62023-09-18
1136김포시지에스25 김포우미린2023-08-24영업중2023-08-23지정관급봉투경기도 김포시 김포한강5로 417, 상가동 101호 (구래동, 한가람마을 우미린)경기도 김포시 구래동 6873-8 한가람마을 우미린2023-09-18
1137김포시지에스25 구래아스타2023-08-25영업중2023-08-24지정관급봉투경기도 김포시 김포한강9로76번길 63, 1층 110호 (구래동)경기도 김포시 구래동 6883-22023-09-18
1138김포시문구양까까군2023-09-08영업중2023-09-07지정관급봉투경기도 김포시 통진읍 조강로 102, 1층 4호경기도 김포시 통진읍 서암리 764-152023-09-18
1139김포시베르딘2023-09-08영업중2023-09-07지정관급봉투경기도 김포시 통진읍 서암로6번길 5-1, 1층경기도 김포시 통진읍 마송리 528-72023-09-18