Overview

Dataset statistics

Number of variables11
Number of observations2751
Missing cells1899
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory239.2 KiB
Average record size in memory89.0 B

Variable types

Numeric1
DateTime2
Categorical2
Text6

Dataset

Description서울특별시 용산구 담배소매인현황에 대한 데이터로 관리번호, 인허가일자, 영업상태명, 민원구분, 업소명, 업소지번주소, 업소도로명주소, 업소우편번호, 지정일자, 휴업및영업정지시작일, 휴업및영어정지종료일)에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15023002/fileData.do

Alerts

관리번호 is highly overall correlated with 민원구분High correlation
민원구분 is highly overall correlated with 관리번호High correlation
업소주소우편번호 has 1897 (69.0%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:34:52.996619
Analysis finished2023-12-12 05:34:54.783923
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2751
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1376
Minimum1
Maximum2751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-12T14:34:54.875682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile138.5
Q1688.5
median1376
Q32063.5
95-th percentile2613.5
Maximum2751
Range2750
Interquartile range (IQR)1375

Descriptive statistics

Standard deviation794.28962
Coefficient of variation (CV)0.57724536
Kurtosis-1.2
Mean1376
Median Absolute Deviation (MAD)688
Skewness0
Sum3785376
Variance630896
MonotonicityStrictly increasing
2023-12-12T14:34:55.034369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1839 1
 
< 0.1%
1831 1
 
< 0.1%
1832 1
 
< 0.1%
1833 1
 
< 0.1%
1834 1
 
< 0.1%
1835 1
 
< 0.1%
1836 1
 
< 0.1%
1837 1
 
< 0.1%
1838 1
 
< 0.1%
Other values (2741) 2741
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2751 1
< 0.1%
2750 1
< 0.1%
2749 1
< 0.1%
2748 1
< 0.1%
2747 1
< 0.1%
2746 1
< 0.1%
2745 1
< 0.1%
2744 1
< 0.1%
2743 1
< 0.1%
2742 1
< 0.1%

인허가일자
Date

Distinct1802
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Minimum1974-07-01 00:00:00
Maximum2023-05-08 00:00:00
2023-12-12T14:34:55.197469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:55.649541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
폐업처리
1773 
정상영업
534 
직권취소
226 
지정취소
213 
임시소매기간만료
 
3
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.0043621
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1773
64.4%
정상영업 534
 
19.4%
직권취소 226
 
8.2%
지정취소 213
 
7.7%
임시소매기간만료 3
 
0.1%
휴업처리 1
 
< 0.1%
영업정지 1
 
< 0.1%

Length

2023-12-12T14:34:55.865801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:34:56.061442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1773
64.4%
정상영업 534
 
19.4%
직권취소 226
 
8.2%
지정취소 213
 
7.7%
임시소매기간만료 3
 
0.1%
휴업처리 1
 
< 0.1%
영업정지 1
 
< 0.1%

민원구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
1835 
제7조의3제2항에따른경우
634 
제7조의3제3항에따른경우
282 

Length

Max length13
Median length1
Mean length4.9956379
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제3항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제3항에따른경우
4th row제7조의3제3항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
1835
66.7%
제7조의3제2항에따른경우 634
 
23.0%
제7조의3제3항에따른경우 282
 
10.3%

Length

2023-12-12T14:34:56.207640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:34:56.369920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 634
69.2%
제7조의3제3항에따른경우 282
30.8%

업소명
Text

Distinct2048
Distinct (%)74.5%
Missing2
Missing (%)0.1%
Memory size21.6 KiB
2023-12-12T14:34:56.721212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length6.6740633
Min length1

Characters and Unicode

Total characters18347
Distinct characters592
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

Unique1715 ?
Unique (%)62.4%

Sample

1st row(주)코리아세븐 남산서울타워점
2nd row뉴블카페
3rd row세븐일레븐 용산웰츠타워점
4th row지에스(GS)25 용산프라임
5th row씨유 이태원 햇살점
ValueCountFrequency (%)
씨유 114
 
3.2%
담배소매점 77
 
2.2%
gs25 70
 
2.0%
세븐일레븐 53
 
1.5%
주)코리아세븐 41
 
1.2%
지에스25 39
 
1.1%
식품 35
 
1.0%
잡화 34
 
1.0%
코레일유통(주 25
 
0.7%
이마트24 25
 
0.7%
Other values (2061) 3009
85.4%
2023-12-12T14:34:57.338757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 948
 
5.2%
782
 
4.3%
산 399
 
2.2%
마 354
 
1.9%
용 347
 
1.9%
이 332
 
1.8%
트 327
 
1.8%
퍼 327
 
1.8%
식 312
 
1.7%
슈 309
 
1.7%
Other values (582) 13910
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15610
85.1%
Space Separator 782
 
4.3%
Decimal Number 743
 
4.0%
Uppercase Letter 578
 
3.2%
Close Punctuation 275
 
1.5%
Open Punctuation 274
 
1.5%
Lowercase Letter 42
 
0.2%
Other Punctuation 26
 
0.1%
Dash Punctuation 16
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 948
 
6.1%
산 399
 
2.6%
마 354
 
2.3%
용 347
 
2.2%
이 332
 
2.1%
트 327
 
2.1%
퍼 327
 
2.1%
식 312
 
2.0%
슈 309
 
2.0%
매 279
 
1.8%
Other values (524) 11676
74.8%
Uppercase Letter
ValueCountFrequency (%)
S 163
28.2%
G 149
25.8%
L 26
 
4.5%
C 26
 
4.5%
U 22
 
3.8%
K 20
 
3.5%
M 20
 
3.5%
E 18
 
3.1%
R 17
 
2.9%
O 16
 
2.8%
Other values (15) 101
17.5%
Lowercase Letter
ValueCountFrequency (%)
t 6
14.3%
r 6
14.3%
a 6
14.3%
e 5
11.9%
u 3
7.1%
s 3
7.1%
m 3
7.1%
i 2
 
4.8%
o 2
 
4.8%
h 2
 
4.8%
Other values (4) 4
9.5%
Decimal Number
ValueCountFrequency (%)
2 282
38.0%
5 228
30.7%
4 76
 
10.2%
6 34
 
4.6%
3 32
 
4.3%
1 28
 
3.8%
9 25
 
3.4%
8 16
 
2.2%
0 12
 
1.6%
7 10
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 18
69.2%
: 4
 
15.4%
& 3
 
11.5%
' 1
 
3.8%
Space Separator
ValueCountFrequency (%)
782
100.0%
Close Punctuation
ValueCountFrequency (%)
) 275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15611
85.1%
Common 2116
 
11.5%
Latin 620
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 948
 
6.1%
산 399
 
2.6%
마 354
 
2.3%
용 347
 
2.2%
이 332
 
2.1%
트 327
 
2.1%
퍼 327
 
2.1%
식 312
 
2.0%
슈 309
 
2.0%
매 279
 
1.8%
Other values (525) 11677
74.8%
Latin
ValueCountFrequency (%)
S 163
26.3%
G 149
24.0%
L 26
 
4.2%
C 26
 
4.2%
U 22
 
3.5%
K 20
 
3.2%
M 20
 
3.2%
E 18
 
2.9%
R 17
 
2.7%
O 16
 
2.6%
Other values (29) 143
23.1%
Common
ValueCountFrequency (%)
782
37.0%
2 282
 
13.3%
) 275
 
13.0%
( 274
 
12.9%
5 228
 
10.8%
4 76
 
3.6%
6 34
 
1.6%
3 32
 
1.5%
1 28
 
1.3%
9 25
 
1.2%
Other values (8) 80
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15610
85.1%
ASCII 2736
 
14.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 948
 
6.1%
산 399
 
2.6%
마 354
 
2.3%
용 347
 
2.2%
이 332
 
2.1%
트 327
 
2.1%
퍼 327
 
2.1%
식 312
 
2.0%
슈 309
 
2.0%
매 279
 
1.8%
Other values (524) 11676
74.8%
ASCII
ValueCountFrequency (%)
782
28.6%
2 282
 
10.3%
) 275
 
10.1%
( 274
 
10.0%
5 228
 
8.3%
S 163
 
6.0%
G 149
 
5.4%
4 76
 
2.8%
6 34
 
1.2%
3 32
 
1.2%
Other values (47) 441
16.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소지번주소
Text

Distinct2312
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-12T14:34:57.765908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length25.935296
Min length1

Characters and Unicode

Total characters71348
Distinct characters360
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

Unique2069 ?
Unique (%)75.2%

Sample

1st row서울특별시 용산구 용산동2가 산 1-3 YTN서울타워
2nd row서울특별시 용산구 남영동 99-1
3rd row서울특별시 용산구 문배동 11-10 용산kcc웰츠타워
4th row서울특별시 용산구 원효로1가 41 용산더프라임
5th row서울특별시 용산구 이태원동 368-4
ValueCountFrequency (%)
서울특별시 2642
 
17.9%
용산구 2640
 
17.9%
한남동 276
 
1.9%
1층 271
 
1.8%
1호 270
 
1.8%
호 259
 
1.8%
한강로3가 250
 
1.7%
이태원동 236
 
1.6%
한강로2가 235
 
1.6%
후암동 130
 
0.9%
Other values (1609) 7578
51.2%
2023-12-12T14:34:58.387323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15212
21.3%
1 3154
 
4.4%
용 2982
 
4.2%
산 2958
 
4.1%
서 2788
 
3.9%
호 2745
 
3.8%
울 2677
 
3.8%
시 2675
 
3.7%
구 2669
 
3.7%
별 2650
 
3.7%
Other values (350) 30838
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42323
59.3%
Space Separator 15212
 
21.3%
Decimal Number 13243
 
18.6%
Dash Punctuation 184
 
0.3%
Uppercase Letter 125
 
0.2%
Close Punctuation 83
 
0.1%
Open Punctuation 83
 
0.1%
Other Punctuation 66
 
0.1%
Lowercase Letter 25
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 2982
 
7.0%
산 2958
 
7.0%
서 2788
 
6.6%
호 2745
 
6.5%
울 2677
 
6.3%
시 2675
 
6.3%
구 2669
 
6.3%
별 2650
 
6.3%
특 2644
 
6.2%
지 2435
 
5.8%
Other values (297) 15100
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 29
23.2%
P 15
12.0%
A 14
11.2%
C 12
9.6%
S 8
 
6.4%
K 7
 
5.6%
X 5
 
4.0%
D 5
 
4.0%
L 5
 
4.0%
G 5
 
4.0%
Other values (8) 20
16.0%
Lowercase Letter
ValueCountFrequency (%)
c 4
16.0%
e 3
12.0%
f 2
 
8.0%
t 2
 
8.0%
w 2
 
8.0%
y 2
 
8.0%
a 1
 
4.0%
h 1
 
4.0%
u 1
 
4.0%
k 1
 
4.0%
Other values (6) 6
24.0%
Decimal Number
ValueCountFrequency (%)
1 3154
23.8%
2 2165
16.3%
3 1731
13.1%
4 1124
 
8.5%
0 1032
 
7.8%
5 931
 
7.0%
6 930
 
7.0%
9 778
 
5.9%
7 723
 
5.5%
8 675
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 63
95.5%
@ 1
 
1.5%
/ 1
 
1.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
15212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42323
59.3%
Common 28875
40.5%
Latin 150
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 2982
 
7.0%
산 2958
 
7.0%
서 2788
 
6.6%
호 2745
 
6.5%
울 2677
 
6.3%
시 2675
 
6.3%
구 2669
 
6.3%
별 2650
 
6.3%
특 2644
 
6.2%
지 2435
 
5.8%
Other values (297) 15100
35.7%
Latin
ValueCountFrequency (%)
B 29
19.3%
P 15
 
10.0%
A 14
 
9.3%
C 12
 
8.0%
S 8
 
5.3%
K 7
 
4.7%
X 5
 
3.3%
D 5
 
3.3%
L 5
 
3.3%
G 5
 
3.3%
Other values (24) 45
30.0%
Common
ValueCountFrequency (%)
15212
52.7%
1 3154
 
10.9%
2 2165
 
7.5%
3 1731
 
6.0%
4 1124
 
3.9%
0 1032
 
3.6%
5 931
 
3.2%
6 930
 
3.2%
9 778
 
2.7%
7 723
 
2.5%
Other values (9) 1095
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42323
59.3%
ASCII 29025
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15212
52.4%
1 3154
 
10.9%
2 2165
 
7.5%
3 1731
 
6.0%
4 1124
 
3.9%
0 1032
 
3.6%
5 931
 
3.2%
6 930
 
3.2%
9 778
 
2.7%
7 723
 
2.5%
Other values (43) 1245
 
4.3%
Hangul
ValueCountFrequency (%)
용 2982
 
7.0%
산 2958
 
7.0%
서 2788
 
6.6%
호 2745
 
6.5%
울 2677
 
6.3%
시 2675
 
6.3%
구 2669
 
6.3%
별 2650
 
6.3%
특 2644
 
6.2%
지 2435
 
5.8%
Other values (297) 15100
35.7%

업소도로명주소
Text

Distinct1953
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-12T14:34:58.735807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length54
Mean length26.549255
Min length1

Characters and Unicode

Total characters73037
Distinct characters359
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

Unique1660 ?
Unique (%)60.3%

Sample

1st row서울특별시 용산구 남산공원길 105. YTN서울타워 서울타워 광장 1층 (용산동2가)
2nd row서울특별시 용산구 한강대로76길 11-12. 1층 101호 (남영동)
3rd row서울특별시 용산구 백범로90길 90. 105호. 106호 (문배동. 용산kcc웰츠타워)
4th row서울특별시 용산구 원효로90길 11. 106호 (원효로1가. 용산더프라임)
5th row서울특별시 용산구 녹사평대로40나길 53. 1층 101호 (이태원동)
ValueCountFrequency (%)
서울특별시 2374
 
17.5%
용산구 2373
 
17.5%
1층 389
 
2.9%
이태원동 239
 
1.8%
한강대로 222
 
1.6%
한남동 205
 
1.5%
청파로 186
 
1.4%
한강로3가 148
 
1.1%
한강로2가 142
 
1.0%
후암동 113
 
0.8%
Other values (1629) 7163
52.8%
2023-12-12T14:34:59.189583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12730
 
17.4%
로 3007
 
4.1%
1 2929
 
4.0%
용 2691
 
3.7%
산 2645
 
3.6%
서 2624
 
3.6%
) 2433
 
3.3%
( 2432
 
3.3%
울 2411
 
3.3%
시 2400
 
3.3%
Other values (349) 36735
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42435
58.1%
Space Separator 12730
 
17.4%
Decimal Number 11103
 
15.2%
Close Punctuation 2433
 
3.3%
Open Punctuation 2432
 
3.3%
Other Punctuation 1372
 
1.9%
Dash Punctuation 356
 
0.5%
Uppercase Letter 145
 
0.2%
Lowercase Letter 28
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3007
 
7.1%
용 2691
 
6.3%
산 2645
 
6.2%
서 2624
 
6.2%
울 2411
 
5.7%
시 2400
 
5.7%
구 2393
 
5.6%
별 2383
 
5.6%
특 2375
 
5.6%
동 2016
 
4.8%
Other values (293) 17490
41.2%
Uppercase Letter
ValueCountFrequency (%)
B 35
24.1%
A 15
10.3%
C 13
 
9.0%
L 9
 
6.2%
K 8
 
5.5%
T 7
 
4.8%
P 6
 
4.1%
G 6
 
4.1%
S 6
 
4.1%
D 6
 
4.1%
Other values (10) 34
23.4%
Lowercase Letter
ValueCountFrequency (%)
c 6
21.4%
e 3
10.7%
f 2
 
7.1%
w 2
 
7.1%
y 2
 
7.1%
t 2
 
7.1%
k 2
 
7.1%
a 1
 
3.6%
h 1
 
3.6%
u 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
1 2929
26.4%
2 1804
16.2%
3 1362
12.3%
0 992
 
8.9%
4 930
 
8.4%
5 776
 
7.0%
7 679
 
6.1%
6 635
 
5.7%
9 524
 
4.7%
8 472
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1368
99.7%
@ 1
 
0.1%
/ 1
 
0.1%
& 1
 
0.1%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2433
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42435
58.1%
Common 30429
41.7%
Latin 173
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3007
 
7.1%
용 2691
 
6.3%
산 2645
 
6.2%
서 2624
 
6.2%
울 2411
 
5.7%
시 2400
 
5.7%
구 2393
 
5.6%
별 2383
 
5.6%
특 2375
 
5.6%
동 2016
 
4.8%
Other values (293) 17490
41.2%
Latin
ValueCountFrequency (%)
B 35
20.2%
A 15
 
8.7%
C 13
 
7.5%
L 9
 
5.2%
K 8
 
4.6%
T 7
 
4.0%
P 6
 
3.5%
G 6
 
3.5%
c 6
 
3.5%
S 6
 
3.5%
Other values (26) 62
35.8%
Common
ValueCountFrequency (%)
12730
41.8%
1 2929
 
9.6%
) 2433
 
8.0%
( 2432
 
8.0%
2 1804
 
5.9%
. 1368
 
4.5%
3 1362
 
4.5%
0 992
 
3.3%
4 930
 
3.1%
5 776
 
2.6%
Other values (10) 2673
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42435
58.1%
ASCII 30602
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12730
41.6%
1 2929
 
9.6%
) 2433
 
8.0%
( 2432
 
7.9%
2 1804
 
5.9%
. 1368
 
4.5%
3 1362
 
4.5%
0 992
 
3.2%
4 930
 
3.0%
5 776
 
2.5%
Other values (46) 2846
 
9.3%
Hangul
ValueCountFrequency (%)
로 3007
 
7.1%
용 2691
 
6.3%
산 2645
 
6.2%
서 2624
 
6.2%
울 2411
 
5.7%
시 2400
 
5.7%
구 2393
 
5.6%
별 2383
 
5.6%
특 2375
 
5.6%
동 2016
 
4.8%
Other values (293) 17490
41.2%

업소주소우편번호
Text

MISSING 

Distinct223
Distinct (%)26.1%
Missing1897
Missing (%)69.0%
Memory size21.6 KiB
2023-12-12T14:34:59.534097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length5.3770492
Min length4

Characters and Unicode

Total characters4592
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)6.8%

Sample

1st row4340
2nd row4352
3rd row4315
4th row4315
5th row4345
ValueCountFrequency (%)
4382 16
 
1.9%
140-012 15
 
1.8%
140-873 14
 
1.6%
140-013 14
 
1.6%
140-821 13
 
1.5%
4378 13
 
1.5%
4315 12
 
1.4%
4353 12
 
1.4%
140-201 12
 
1.4%
4427 12
 
1.4%
Other values (213) 721
84.4%
2023-12-12T14:34:59.957122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1030
22.4%
0 712
15.5%
1 698
15.2%
3 606
13.2%
- 392
 
8.5%
8 300
 
6.5%
2 244
 
5.3%
7 213
 
4.6%
5 141
 
3.1%
6 134
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4200
91.5%
Dash Punctuation 392
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1030
24.5%
0 712
17.0%
1 698
16.6%
3 606
14.4%
8 300
 
7.1%
2 244
 
5.8%
7 213
 
5.1%
5 141
 
3.4%
6 134
 
3.2%
9 122
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4592
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1030
22.4%
0 712
15.5%
1 698
15.2%
3 606
13.2%
- 392
 
8.5%
8 300
 
6.5%
2 244
 
5.3%
7 213
 
4.6%
5 141
 
3.1%
6 134
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1030
22.4%
0 712
15.5%
1 698
15.2%
3 606
13.2%
- 392
 
8.5%
8 300
 
6.5%
2 244
 
5.3%
7 213
 
4.6%
5 141
 
3.1%
6 134
 
2.9%

지정일자
Date

Distinct1802
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Minimum1974-07-01 00:00:00
Maximum2023-05-08 00:00:00
2023-12-12T14:35:00.094601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:00.214428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업및영업정지시작일
Text

Distinct85
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-12T14:35:00.450340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length1.3206107
Min length1

Characters and Unicode

Total characters3633
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)2.8%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
2010-05-10 5
 
5.1%
2015-07-01 3
 
3.1%
2013-10-20 3
 
3.1%
2011-12-26 3
 
3.1%
2010-11-01 3
 
3.1%
2011-10-01 2
 
2.0%
2006-04-29 2
 
2.0%
2008-06-14 1
 
1.0%
2004-03-04 1
 
1.0%
2005-09-28 1
 
1.0%
Other values (74) 74
75.5%
2023-12-12T14:35:00.838654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2653
73.0%
0 283
 
7.8%
- 196
 
5.4%
1 166
 
4.6%
2 156
 
4.3%
5 41
 
1.1%
4 32
 
0.9%
7 27
 
0.7%
3 25
 
0.7%
8 22
 
0.6%
Other values (2) 32
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Space Separator 2653
73.0%
Decimal Number 784
 
21.6%
Dash Punctuation 196
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 283
36.1%
1 166
21.2%
2 156
19.9%
5 41
 
5.2%
4 32
 
4.1%
7 27
 
3.4%
3 25
 
3.2%
8 22
 
2.8%
6 16
 
2.0%
9 16
 
2.0%
Space Separator
ValueCountFrequency (%)
2653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3633
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2653
73.0%
0 283
 
7.8%
- 196
 
5.4%
1 166
 
4.6%
2 156
 
4.3%
5 41
 
1.1%
4 32
 
0.9%
7 27
 
0.7%
3 25
 
0.7%
8 22
 
0.6%
Other values (2) 32
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3633
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2653
73.0%
0 283
 
7.8%
- 196
 
5.4%
1 166
 
4.6%
2 156
 
4.3%
5 41
 
1.1%
4 32
 
0.9%
7 27
 
0.7%
3 25
 
0.7%
8 22
 
0.6%
Other values (2) 32
 
0.9%

휴업및영업정지종료일
Text

Distinct87
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-12T14:35:01.123033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length1.3206107
Min length1

Characters and Unicode

Total characters3633
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)2.9%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
2010-07-09 4
 
4.1%
2015-07-31 3
 
3.1%
2013-11-19 3
 
3.1%
2010-12-31 3
 
3.1%
2013-08-31 2
 
2.0%
2001-12-30 2
 
2.0%
2012-03-25 2
 
2.0%
2011-11-15 1
 
1.0%
2007-08-23 1
 
1.0%
2007-04-20 1
 
1.0%
Other values (76) 76
77.6%
2023-12-12T14:35:01.503964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2653
73.0%
0 262
 
7.2%
- 196
 
5.4%
2 163
 
4.5%
1 147
 
4.0%
3 53
 
1.5%
5 31
 
0.9%
7 30
 
0.8%
9 28
 
0.8%
4 26
 
0.7%
Other values (2) 44
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Space Separator 2653
73.0%
Decimal Number 784
 
21.6%
Dash Punctuation 196
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 262
33.4%
2 163
20.8%
1 147
18.8%
3 53
 
6.8%
5 31
 
4.0%
7 30
 
3.8%
9 28
 
3.6%
4 26
 
3.3%
8 22
 
2.8%
6 22
 
2.8%
Space Separator
ValueCountFrequency (%)
2653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3633
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2653
73.0%
0 262
 
7.2%
- 196
 
5.4%
2 163
 
4.5%
1 147
 
4.0%
3 53
 
1.5%
5 31
 
0.9%
7 30
 
0.8%
9 28
 
0.8%
4 26
 
0.7%
Other values (2) 44
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3633
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2653
73.0%
0 262
 
7.2%
- 196
 
5.4%
2 163
 
4.5%
1 147
 
4.0%
3 53
 
1.5%
5 31
 
0.9%
7 30
 
0.8%
9 28
 
0.8%
4 26
 
0.7%
Other values (2) 44
 
1.2%

Interactions

2023-12-12T14:34:54.261688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:35:01.605657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호영업상태명민원구분휴업및영업정지시작일휴업및영업정지종료일
관리번호1.0000.4240.7810.0000.000
영업상태명0.4241.0000.4090.8750.874
민원구분0.7810.4091.0000.0000.000
휴업및영업정지시작일0.0000.8750.0001.0001.000
휴업및영업정지종료일0.0000.8740.0001.0001.000
2023-12-12T14:35:01.709349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명민원구분
영업상태명1.0000.302
민원구분0.3021.000
2023-12-12T14:35:01.788244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호영업상태명민원구분
관리번호1.0000.2300.663
영업상태명0.2301.0000.302
민원구분0.6630.3021.000

Missing values

2023-12-12T14:34:54.405188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:34:54.587275image/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.
2023-12-12T14:34:54.711430image/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

관리번호인허가일자영업상태명민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자휴업및영업정지시작일휴업및영업정지종료일
012023-05-08정상영업제7조의3제3항에따른경우(주)코리아세븐 남산서울타워점서울특별시 용산구 용산동2가 산 1-3 YTN서울타워서울특별시 용산구 남산공원길 105. YTN서울타워 서울타워 광장 1층 (용산동2가)43402023-05-08
122023-04-26정상영업제7조의3제2항에따른경우뉴블카페서울특별시 용산구 남영동 99-1서울특별시 용산구 한강대로76길 11-12. 1층 101호 (남영동)43522023-04-26
232023-04-19정상영업제7조의3제3항에따른경우세븐일레븐 용산웰츠타워점서울특별시 용산구 문배동 11-10 용산kcc웰츠타워서울특별시 용산구 백범로90길 90. 105호. 106호 (문배동. 용산kcc웰츠타워)43152023-04-19
342023-04-10정상영업제7조의3제3항에따른경우지에스(GS)25 용산프라임서울특별시 용산구 원효로1가 41 용산더프라임서울특별시 용산구 원효로90길 11. 106호 (원효로1가. 용산더프라임)43152023-04-10
452023-03-30정상영업제7조의3제2항에따른경우씨유 이태원 햇살점서울특별시 용산구 이태원동 368-4서울특별시 용산구 녹사평대로40나길 53. 1층 101호 (이태원동)43452023-03-30
562023-03-23정상영업제7조의3제3항에따른경우아이갓에브리씽 용산점서울특별시 용산구 용산동3가 1서울특별시 용산구 이태원로 22. 본관동 지하1층 (용산동3가)43832023-03-23
672023-03-21정상영업제7조의3제2항에따른경우(주)코리아세븐 관광특구점서울특별시 용산구 한남동 737-37 한남빌딩서울특별시 용산구 이태원로 211. 한남빌딩 1층 (한남동)43492023-03-21
782023-03-20정상영업제7조의3제2항에따른경우(주)코리아세븐 이태원청화점서울특별시 용산구 이태원동 22-3 Buytheway서울특별시 용산구 보광로 95. Buytheway 1층 (이태원동)43922023-03-20
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