Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells4606
Missing cells (%)6.6%
Duplicate rows19
Duplicate rows (%)0.2%
Total size in memory625.0 KiB
Average record size in memory64.0 B

Variable types

Categorical2
Text3
DateTime2

Dataset

Description인천광역시 서구관내에 위치한 식품접객업소 폐업현황(업종명, 업소명, 소재지, 인허가일자, 폐업일자)입니다.
URLhttps://www.data.go.kr/data/15047499/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 19 (0.2%) duplicate rowsDuplicates
업종명 is highly imbalanced (57.6%)Imbalance
소재지(도로명) has 4558 (45.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:17:40.766787
Analysis finished2023-12-12 14:17:42.092970
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7746 
휴게음식점
1470 
위탁급식영업
 
436
제과점영업
 
253
유흥주점영업
 
52

Length

Max length6
Median length5
Mean length5.0445
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴게음식점
2nd row일반음식점
3rd row일반음식점
4th row일반음식점
5th row휴게음식점

Common Values

ValueCountFrequency (%)
일반음식점 7746
77.5%
휴게음식점 1470
 
14.7%
위탁급식영업 436
 
4.4%
제과점영업 253
 
2.5%
유흥주점영업 52
 
0.5%
단란주점 43
 
0.4%

Length

2023-12-12T23:17:42.180708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:17:42.286333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7746
77.5%
휴게음식점 1470
 
14.7%
위탁급식영업 436
 
4.4%
제과점영업 253
 
2.5%
유흥주점영업 52
 
0.5%
단란주점 43
 
0.4%

업소명
Text

Distinct8749
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:17:42.549589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length6.0651
Min length1

Characters and Unicode

Total characters60651
Distinct characters1085
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

Unique7979 ?
Unique (%)79.8%

Sample

1st row카페듀잇(Deww-it)
2nd row그카페604
3rd row신선
4th row통다리치킨
5th row금충초 불로점
ValueCountFrequency (%)
청라점 73
 
0.6%
김밥천국 31
 
0.3%
검단점 26
 
0.2%
인천청라점 26
 
0.2%
카페 25
 
0.2%
cafe 20
 
0.2%
세븐일레븐 19
 
0.2%
gs25 17
 
0.1%
주)아워홈 15
 
0.1%
떡볶이 14
 
0.1%
Other values (9303) 11232
97.7%
2023-12-12T23:17:42.974665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1498
 
2.5%
이 1303
 
2.1%
점 1271
 
2.1%
식 1124
 
1.9%
스 1080
 
1.8%
리 917
 
1.5%
당 861
 
1.4%
라 837
 
1.4%
가 681
 
1.1%
마 680
 
1.1%
Other values (1075) 50399
83.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54792
90.3%
Space Separator 1498
 
2.5%
Uppercase Letter 1135
 
1.9%
Lowercase Letter 938
 
1.5%
Decimal Number 686
 
1.1%
Close Punctuation 680
 
1.1%
Open Punctuation 679
 
1.1%
Other Punctuation 221
 
0.4%
Dash Punctuation 13
 
< 0.1%
Other Symbol 5
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1303
 
2.4%
점 1271
 
2.3%
식 1124
 
2.1%
스 1080
 
2.0%
리 917
 
1.7%
당 861
 
1.6%
라 837
 
1.5%
가 681
 
1.2%
마 680
 
1.2%
치 631
 
1.2%
Other values (993) 45407
82.9%
Uppercase Letter
ValueCountFrequency (%)
C 138
 
12.2%
S 104
 
9.2%
B 91
 
8.0%
G 77
 
6.8%
O 74
 
6.5%
E 70
 
6.2%
A 69
 
6.1%
P 53
 
4.7%
N 48
 
4.2%
F 48
 
4.2%
Other values (16) 363
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 148
15.8%
a 115
12.3%
o 81
 
8.6%
r 62
 
6.6%
c 58
 
6.2%
n 55
 
5.9%
f 55
 
5.9%
s 51
 
5.4%
i 45
 
4.8%
t 40
 
4.3%
Other values (15) 228
24.3%
Other Punctuation
ValueCountFrequency (%)
& 87
39.4%
. 58
26.2%
, 28
 
12.7%
' 18
 
8.1%
! 9
 
4.1%
/ 6
 
2.7%
· 6
 
2.7%
? 4
 
1.8%
# 2
 
0.9%
＆ 1
 
0.5%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 172
25.1%
5 105
15.3%
0 89
13.0%
1 80
11.7%
3 53
 
7.7%
9 46
 
6.7%
4 42
 
6.1%
8 35
 
5.1%
6 34
 
5.0%
7 30
 
4.4%
Other Symbol
ValueCountFrequency (%)
℃ 3
60.0%
㈜ 2
40.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
1498
100.0%
Close Punctuation
ValueCountFrequency (%)
) 680
100.0%
Open Punctuation
ValueCountFrequency (%)
( 679
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54779
90.3%
Common 3784
 
6.2%
Latin 2073
 
3.4%
Han 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1303
 
2.4%
점 1271
 
2.3%
식 1124
 
2.1%
스 1080
 
2.0%
리 917
 
1.7%
당 861
 
1.6%
라 837
 
1.5%
가 681
 
1.2%
마 680
 
1.2%
치 631
 
1.2%
Other values (983) 45394
82.9%
Latin
ValueCountFrequency (%)
e 148
 
7.1%
C 138
 
6.7%
a 115
 
5.5%
S 104
 
5.0%
B 91
 
4.4%
o 81
 
3.9%
G 77
 
3.7%
O 74
 
3.6%
E 70
 
3.4%
A 69
 
3.3%
Other values (41) 1106
53.4%
Common
ValueCountFrequency (%)
1498
39.6%
) 680
18.0%
( 679
17.9%
2 172
 
4.5%
5 105
 
2.8%
0 89
 
2.4%
& 87
 
2.3%
1 80
 
2.1%
. 58
 
1.5%
3 53
 
1.4%
Other values (20) 283
 
7.5%
Han
ValueCountFrequency (%)
家 3
20.0%
大 2
13.3%
辛 2
13.3%
高 1
 
6.7%
元 1
 
6.7%
人 1
 
6.7%
堂 1
 
6.7%
孝 1
 
6.7%
福 1
 
6.7%
情 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54777
90.3%
ASCII 5847
 
9.6%
CJK 15
 
< 0.1%
None 9
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1498
25.6%
) 680
 
11.6%
( 679
 
11.6%
2 172
 
2.9%
e 148
 
2.5%
C 138
 
2.4%
a 115
 
2.0%
5 105
 
1.8%
S 104
 
1.8%
B 91
 
1.6%
Other values (68) 2117
36.2%
Hangul
ValueCountFrequency (%)
이 1303
 
2.4%
점 1271
 
2.3%
식 1124
 
2.1%
스 1080
 
2.0%
리 917
 
1.7%
당 861
 
1.6%
라 837
 
1.5%
가 681
 
1.2%
마 680
 
1.2%
치 631
 
1.2%
Other values (982) 45392
82.9%
None
ValueCountFrequency (%)
· 6
66.7%
㈜ 2
 
22.2%
＆ 1
 
11.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
CJK
ValueCountFrequency (%)
家 3
20.0%
大 2
13.3%
辛 2
13.3%
高 1
 
6.7%
元 1
 
6.7%
人 1
 
6.7%
堂 1
 
6.7%
孝 1
 
6.7%
福 1
 
6.7%
情 1
 
6.7%

소재지(도로명)
Text

MISSING 

Distinct5103
Distinct (%)93.8%
Missing4558
Missing (%)45.6%
Memory size156.2 KiB
2023-12-12T23:17:43.249426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length74
Mean length35.213341
Min length20

Characters and Unicode

Total characters191631
Distinct characters470
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4827 ?
Unique (%)88.7%

Sample

1st row인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 B106호 (청라동)
2nd row인천광역시 서구 청라라임로122번길 2, 103호 (청라동)
3rd row인천광역시 서구 가석로156번길 17-2, 1층 (가좌동)
4th row인천광역시 서구 건지로318번길 58-1 (가좌동)
5th row인천광역시 서구 검단로 851, 104호 (불로동, 동부아파트단지내상가)
ValueCountFrequency (%)
인천광역시 5443
 
14.8%
서구 5442
 
14.8%
1층 1238
 
3.4%
가좌동 634
 
1.7%
연희동 570
 
1.6%
석남동 551
 
1.5%
청라동 544
 
1.5%
마전동 425
 
1.2%
경서동 422
 
1.1%
심곡동 353
 
1.0%
Other values (3996) 21085
57.4%
2023-12-12T23:17:43.660285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31287
 
16.3%
1 10297
 
5.4%
, 6393
 
3.3%
동 6267
 
3.3%
서 6184
 
3.2%
( 5813
 
3.0%
) 5811
 
3.0%
로 5597
 
2.9%
시 5594
 
2.9%
인 5560
 
2.9%
Other values (460) 102828
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104611
54.6%
Decimal Number 35309
 
18.4%
Space Separator 31287
 
16.3%
Other Punctuation 6410
 
3.3%
Open Punctuation 5814
 
3.0%
Close Punctuation 5812
 
3.0%
Dash Punctuation 1579
 
0.8%
Uppercase Letter 730
 
0.4%
Lowercase Letter 43
 
< 0.1%
Math Symbol 32
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6267
 
6.0%
서 6184
 
5.9%
로 5597
 
5.4%
시 5594
 
5.3%
인 5560
 
5.3%
천 5534
 
5.3%
광 5476
 
5.2%
구 5474
 
5.2%
역 5458
 
5.2%
호 3109
 
3.0%
Other values (398) 50358
48.1%
Uppercase Letter
ValueCountFrequency (%)
B 259
35.5%
A 160
21.9%
C 46
 
6.3%
K 34
 
4.7%
S 27
 
3.7%
E 24
 
3.3%
D 22
 
3.0%
F 19
 
2.6%
I 18
 
2.5%
G 16
 
2.2%
Other values (14) 105
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 11
25.6%
s 8
18.6%
a 5
11.6%
d 4
 
9.3%
c 3
 
7.0%
k 2
 
4.7%
i 2
 
4.7%
b 2
 
4.7%
y 2
 
4.7%
r 2
 
4.7%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 10297
29.2%
2 4785
13.6%
0 4309
12.2%
3 2968
 
8.4%
4 2596
 
7.4%
5 2384
 
6.8%
6 2171
 
6.1%
8 2085
 
5.9%
7 1958
 
5.5%
9 1756
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 6393
99.7%
& 7
 
0.1%
. 3
 
< 0.1%
@ 2
 
< 0.1%
" 2
 
< 0.1%
' 2
 
< 0.1%
* 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5813
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5811
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
31287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1579
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104611
54.6%
Common 86245
45.0%
Latin 775
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6267
 
6.0%
서 6184
 
5.9%
로 5597
 
5.4%
시 5594
 
5.3%
인 5560
 
5.3%
천 5534
 
5.3%
광 5476
 
5.2%
구 5474
 
5.2%
역 5458
 
5.2%
호 3109
 
3.0%
Other values (398) 50358
48.1%
Latin
ValueCountFrequency (%)
B 259
33.4%
A 160
20.6%
C 46
 
5.9%
K 34
 
4.4%
S 27
 
3.5%
E 24
 
3.1%
D 22
 
2.8%
F 19
 
2.5%
I 18
 
2.3%
G 16
 
2.1%
Other values (27) 150
19.4%
Common
ValueCountFrequency (%)
31287
36.3%
1 10297
 
11.9%
, 6393
 
7.4%
( 5813
 
6.7%
) 5811
 
6.7%
2 4785
 
5.5%
0 4309
 
5.0%
3 2968
 
3.4%
4 2596
 
3.0%
5 2384
 
2.8%
Other values (15) 9602
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104581
54.6%
ASCII 87016
45.4%
Compat Jamo 30
 
< 0.1%
CJK Compat 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31287
36.0%
1 10297
 
11.8%
, 6393
 
7.3%
( 5813
 
6.7%
) 5811
 
6.7%
2 4785
 
5.5%
0 4309
 
5.0%
3 2968
 
3.4%
4 2596
 
3.0%
5 2384
 
2.7%
Other values (50) 10373
 
11.9%
Hangul
ValueCountFrequency (%)
동 6267
 
6.0%
서 6184
 
5.9%
로 5597
 
5.4%
시 5594
 
5.3%
인 5560
 
5.3%
천 5534
 
5.3%
광 5476
 
5.2%
구 5474
 
5.2%
역 5458
 
5.2%
호 3109
 
3.0%
Other values (397) 50328
48.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 30
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지(지번)
Text

Distinct7678
Distinct (%)77.1%
Missing39
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T23:17:43.995589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length57
Mean length24.683064
Min length15

Characters and Unicode

Total characters245868
Distinct characters455
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6363 ?
Unique (%)63.9%

Sample

1st row인천광역시 서구 청라동 157-6 청라 봄 빌딩 B106호
2nd row인천광역시 서구 청라동 117-23 103호
3rd row인천광역시 서구 가좌동 171-10 (1층)
4th row인천광역시 서구 가좌동 206-46
5th row인천광역시 서구 불로동 179 동부아파트단지내상가 104호
ValueCountFrequency (%)
인천광역시 9962
20.1%
서구 9961
20.1%
석남동 1477
 
3.0%
가좌동 1408
 
2.8%
청라동 1205
 
2.4%
1층 1074
 
2.2%
가정동 1038
 
2.1%
심곡동 854
 
1.7%
마전동 803
 
1.6%
신현동 461
 
0.9%
Other values (6462) 21353
43.1%
2023-12-12T23:17:44.564205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48448
19.7%
1 13990
 
5.7%
동 10748
 
4.4%
구 10439
 
4.2%
서 10265
 
4.2%
시 10121
 
4.1%
인 10104
 
4.1%
천 10062
 
4.1%
광 10004
 
4.1%
역 9979
 
4.1%
Other values (445) 101708
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129958
52.9%
Decimal Number 55859
22.7%
Space Separator 48448
 
19.7%
Dash Punctuation 8614
 
3.5%
Uppercase Letter 797
 
0.3%
Other Punctuation 730
 
0.3%
Open Punctuation 676
 
0.3%
Close Punctuation 676
 
0.3%
Math Symbol 55
 
< 0.1%
Lowercase Letter 51
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10748
 
8.3%
구 10439
 
8.0%
서 10265
 
7.9%
시 10121
 
7.8%
인 10104
 
7.8%
천 10062
 
7.7%
광 10004
 
7.7%
역 9979
 
7.7%
호 3234
 
2.5%
가 3146
 
2.4%
Other values (387) 41856
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 269
33.8%
A 206
25.8%
C 44
 
5.5%
K 31
 
3.9%
S 30
 
3.8%
L 28
 
3.5%
M 28
 
3.5%
E 25
 
3.1%
D 23
 
2.9%
T 15
 
1.9%
Other values (14) 98
 
12.3%
Lowercase Letter
ValueCountFrequency (%)
e 20
39.2%
s 9
17.6%
a 5
 
9.8%
d 4
 
7.8%
c 3
 
5.9%
y 2
 
3.9%
i 2
 
3.9%
r 2
 
3.9%
k 2
 
3.9%
v 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 13990
25.0%
2 7076
12.7%
0 6294
11.3%
5 5139
 
9.2%
3 4928
 
8.8%
4 4868
 
8.7%
6 3941
 
7.1%
7 3411
 
6.1%
8 3179
 
5.7%
9 3033
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 690
94.5%
. 19
 
2.6%
* 7
 
1.0%
& 7
 
1.0%
@ 5
 
0.7%
' 2
 
0.3%
Space Separator
ValueCountFrequency (%)
48448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8614
100.0%
Open Punctuation
ValueCountFrequency (%)
( 676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 676
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129958
52.9%
Common 115060
46.8%
Latin 850
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10748
 
8.3%
구 10439
 
8.0%
서 10265
 
7.9%
시 10121
 
7.8%
인 10104
 
7.8%
천 10062
 
7.7%
광 10004
 
7.7%
역 9979
 
7.7%
호 3234
 
2.5%
가 3146
 
2.4%
Other values (387) 41856
32.2%
Latin
ValueCountFrequency (%)
B 269
31.6%
A 206
24.2%
C 44
 
5.2%
K 31
 
3.6%
S 30
 
3.5%
L 28
 
3.3%
M 28
 
3.3%
E 25
 
2.9%
D 23
 
2.7%
e 20
 
2.4%
Other values (26) 146
17.2%
Common
ValueCountFrequency (%)
48448
42.1%
1 13990
 
12.2%
- 8614
 
7.5%
2 7076
 
6.1%
0 6294
 
5.5%
5 5139
 
4.5%
3 4928
 
4.3%
4 4868
 
4.2%
6 3941
 
3.4%
7 3411
 
3.0%
Other values (12) 8351
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129929
52.8%
ASCII 115906
47.1%
Compat Jamo 29
 
< 0.1%
CJK Compat 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48448
41.8%
1 13990
 
12.1%
- 8614
 
7.4%
2 7076
 
6.1%
0 6294
 
5.4%
5 5139
 
4.4%
3 4928
 
4.3%
4 4868
 
4.2%
6 3941
 
3.4%
7 3411
 
2.9%
Other values (46) 9197
 
7.9%
Hangul
ValueCountFrequency (%)
동 10748
 
8.3%
구 10439
 
8.0%
서 10265
 
7.9%
시 10121
 
7.8%
인 10104
 
7.8%
천 10062
 
7.7%
광 10004
 
7.7%
역 9979
 
7.7%
호 3234
 
2.5%
가 3146
 
2.4%
Other values (386) 41827
32.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 29
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

인허가일자
Date

Distinct5252
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1902-01-30 00:00:00
Maximum2023-06-07 00:00:00
2023-12-12T23:17:44.748649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:44.916789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐업일자
Date

Distinct4161
Distinct (%)41.6%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
Minimum2001-02-01 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T23:17:45.102937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:17:45.284226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-01
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 10000
100.0%

Length

2023-12-12T23:17:45.663314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:17:45.778599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 10000
100.0%

Missing values

2023-12-12T23:17:41.855695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:17:41.953106image/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.
2023-12-12T23:17:42.042136image/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

업종명업소명소재지(도로명)소재지(지번)인허가일자폐업일자데이터기준일자
9377휴게음식점카페듀잇(Deww-it)인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 B106호 (청라동)인천광역시 서구 청라동 157-6 청라 봄 빌딩 B106호2022-10-252022-12-262023-08-01
6524일반음식점그카페604인천광역시 서구 청라라임로122번길 2, 103호 (청라동)인천광역시 서구 청라동 117-23 103호2018-07-042020-07-242023-08-01
3652일반음식점신선인천광역시 서구 가석로156번길 17-2, 1층 (가좌동)인천광역시 서구 가좌동 171-10 (1층)2011-11-162012-08-292023-08-01
5282일반음식점통다리치킨인천광역시 서구 건지로318번길 58-1 (가좌동)인천광역시 서구 가좌동 206-462013-04-052017-02-212023-08-01
8810휴게음식점금충초 불로점인천광역시 서구 검단로 851, 104호 (불로동, 동부아파트단지내상가)인천광역시 서구 불로동 179 동부아파트단지내상가 104호2017-03-212018-12-242023-08-01
3759일반음식점모가네가마솥추어탕삼계탕<NA>인천광역시 서구 당하동 당하지구 40블럭 4롯트 당하프라자 201호2005-10-102012-11-092023-08-01
3097일반음식점바다회마트<NA>인천광역시 서구 석남동 454-222004-04-212010-10-152023-08-01
8703휴게음식점칠링키친 아라뱃길 2호점<NA>인천광역시 서구 시천동 162-176 시천교 22016-06-032018-03-192023-08-01
7013일반음식점시골닭발인천광역시 서구 가정로394번길 14, 1층일부 (가정동)인천광역시 서구 가정동 503-192020-06-262021-08-102023-08-01
2318일반음식점별미식당<NA>인천광역시 서구 석남동 5331990-10-232008-07-112023-08-01
업종명업소명소재지(도로명)소재지(지번)인허가일자폐업일자데이터기준일자
1933일반음식점남산골<NA>인천광역시 서구 석남동 455-11999-01-302007-09-102023-08-01
10124위탁급식영업한화호텔앤드리조트(주)홈플러스 가좌점인천광역시 서구 가정로151번길 11, 지하1층 (가좌동)인천광역시 서구 가좌동 118 지하1층2016-11-012019-07-012023-08-01
8906휴게음식점안녕마카롱인천광역시 서구 완정로 126, 207(일부)호 (마전동, 검단2차우방아이유쉘)인천광역시 서구 마전동 1123-1 검단2차우방아이유쉘 207호 일부2018-09-052019-01-302023-08-01
2416일반음식점삼천원의행복<NA>인천광역시 서구 연희동 726-3 105호106호107호2006-10-112008-09-222023-08-01
7059일반음식점태국식당인천광역시 서구 석남로 지하 69, 지하1층 (석남동, 588-24 (지하1층))인천광역시 서구 석남동 588-24 (지하1층)2012-10-102021-09-302023-08-01
8998휴게음식점태평양사우나 식당인천광역시 서구 장고개로 277-1, 청운프라자 6층 (가좌동)인천광역시 서구 가좌동 247-1 청운프라자2019-05-102020-10-192023-08-01
3534일반음식점묵은지닭한마리<NA>인천광역시 서구 석남동 453-62010-04-062012-02-142023-08-01
2820일반음식점지성각<NA>인천광역시 서구 가좌동 174-43 (1층)2006-02-222009-10-222023-08-01
7610일반음식점왕손식당인천광역시 서구 원적로27번길 19-1 (가좌동)인천광역시 서구 가좌동 272-181996-05-172022-12-162023-08-01
2532일반음식점봉평손두부<NA>인천광역시 서구 석남동 511-122005-03-252008-12-112023-08-01

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)인허가일자폐업일자데이터기준일자# duplicates
0단란주점아리랑단란주점<NA>인천광역시 서구 가정동 485-151994-03-292008-10-202023-08-012
1위탁급식영업만미식품<NA>인천광역시 서구 신현동 2782009-08-132009-09-092023-08-012
2일반음식점BBQ<NA>인천광역시 서구 심곡동 298-21997-11-182012-08-202023-08-012
3일반음식점고향영양탕<NA>인천광역시 서구 가정동 279-42003-07-232008-09-302023-08-012
4일반음식점구들짱삽겹살<NA>인천광역시 서구 가정동 510-92003-10-232010-01-082023-08-012
5일반음식점김밥천국인천광역시 서구 가정로308번길 2 (석남동,외1필지)인천광역시 서구 석남동 457-12 외1필지2004-12-062013-01-012023-08-012
6일반음식점돈푸대 신현점<NA>인천광역시 서구 신현동 287-232004-08-202012-10-182023-08-012
7일반음식점떡볶이대통령인천광역시 서구 완정로202번안길 34 (마전동)인천광역시 서구 마전동 911-72014-02-102019-09-262023-08-012
8일반음식점명동분식<NA>인천광역시 서구 가좌동 278-51998-09-012007-09-072023-08-012
9일반음식점밥퍼주는 남자인천광역시 서구 심곡로 130 (심곡동, 영우빌딩,102호)인천광역시 서구 심곡동 2902010-04-012022-10-042023-08-012