Overview

Dataset statistics

Number of variables6
Number of observations1719
Missing cells507
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.7 KiB
Average record size in memory48.1 B

Variable types

Categorical2
Text4

Dataset

Description숙박업(일반, 생활), 목욕장업, 이용업, 미용업(일반, 피부, 종합, 네일, 화장, 분장), 세탁업, 건물위생관리업 업소에 대한 업종명,업소명,업소소재지(도로명),소재지전화,데이터기준일 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15006929/fileData.do

Alerts

데이터기준일 has constant value ""Constant
소재지전화 has 507 (29.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 23:33:37.904654
Analysis finished2024-03-14 23:33:39.576171
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct22
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
일반미용업
483 
미용업
278 
숙박업(일반)
203 
세탁업
133 
피부미용업
131 
Other values (17)
491 

Length

Max length23
Median length19
Mean length5.7050611
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
일반미용업 483
28.1%
미용업 278
16.2%
숙박업(일반) 203
11.8%
세탁업 133
 
7.7%
피부미용업 131
 
7.6%
건물위생관리업 91
 
5.3%
이용업 89
 
5.2%
네일미용업 78
 
4.5%
숙박업(생활) 37
 
2.2%
일반미용업, 화장ㆍ분장 미용업 36
 
2.1%
Other values (12) 160
 
9.3%

Length

2024-03-15T08:33:39.740086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 542
27.1%
미용업 407
20.4%
숙박업(일반 203
 
10.2%
피부미용업 190
 
9.5%
세탁업 133
 
6.7%
네일미용업 132
 
6.6%
화장ㆍ분장 129
 
6.5%
건물위생관리업 91
 
4.6%
이용업 89
 
4.5%
숙박업(생활 37
 
1.9%
Other values (2) 46
 
2.3%

업소명
Text

Distinct1704
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-03-15T08:33:40.797372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length6.4176847
Min length2

Characters and Unicode

Total characters11032
Distinct characters639
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1691 ?
Unique (%)98.4%

Sample

1st row춘천세종호텔
2nd row동성모텔
3rd row삼화여인숙
4th row짝모텔
5th row별장모텔
ValueCountFrequency (%)
hair 34
 
1.7%
주식회사 14
 
0.7%
헤어 13
 
0.7%
미용실 7
 
0.4%
nail 7
 
0.4%
에스테틱 7
 
0.4%
스킨케어 6
 
0.3%
세탁소 5
 
0.3%
헤어스토리 4
 
0.2%
더 4
 
0.2%
Other values (1828) 1882
94.9%
2024-03-15T08:33:42.214525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 531
 
4.8%
헤 503
 
4.6%
이 292
 
2.6%
264
 
2.4%
스 224
 
2.0%
미 220
 
2.0%
) 219
 
2.0%
( 219
 
2.0%
리 193
 
1.7%
용 178
 
1.6%
Other values (629) 8189
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9058
82.1%
Lowercase Letter 623
 
5.6%
Uppercase Letter 495
 
4.5%
Space Separator 264
 
2.4%
Close Punctuation 219
 
2.0%
Open Punctuation 219
 
2.0%
Decimal Number 85
 
0.8%
Other Punctuation 65
 
0.6%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 531
 
5.9%
헤 503
 
5.6%
이 292
 
3.2%
스 224
 
2.5%
미 220
 
2.4%
리 193
 
2.1%
용 178
 
2.0%
소 164
 
1.8%
텔 147
 
1.6%
실 124
 
1.4%
Other values (560) 6482
71.6%
Lowercase Letter
ValueCountFrequency (%)
a 87
14.0%
i 64
10.3%
e 61
9.8%
r 55
8.8%
h 46
 
7.4%
n 45
 
7.2%
o 38
 
6.1%
u 34
 
5.5%
l 34
 
5.5%
s 26
 
4.2%
Other values (14) 133
21.3%
Uppercase Letter
ValueCountFrequency (%)
N 56
 
11.3%
A 50
 
10.1%
H 44
 
8.9%
I 38
 
7.7%
O 36
 
7.3%
R 28
 
5.7%
E 27
 
5.5%
L 26
 
5.3%
T 25
 
5.1%
S 24
 
4.8%
Other values (14) 141
28.5%
Decimal Number
ValueCountFrequency (%)
2 22
25.9%
1 16
18.8%
0 12
14.1%
3 8
 
9.4%
4 7
 
8.2%
5 6
 
7.1%
9 5
 
5.9%
8 4
 
4.7%
6 3
 
3.5%
7 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 16
24.6%
, 15
23.1%
. 14
21.5%
# 10
15.4%
' 6
 
9.2%
: 4
 
6.2%
Space Separator
ValueCountFrequency (%)
264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9056
82.1%
Latin 1118
 
10.1%
Common 856
 
7.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 531
 
5.9%
헤 503
 
5.6%
이 292
 
3.2%
스 224
 
2.5%
미 220
 
2.4%
리 193
 
2.1%
용 178
 
2.0%
소 164
 
1.8%
텔 147
 
1.6%
실 124
 
1.4%
Other values (559) 6480
71.6%
Latin
ValueCountFrequency (%)
a 87
 
7.8%
i 64
 
5.7%
e 61
 
5.5%
N 56
 
5.0%
r 55
 
4.9%
A 50
 
4.5%
h 46
 
4.1%
n 45
 
4.0%
H 44
 
3.9%
I 38
 
3.4%
Other values (38) 572
51.2%
Common
ValueCountFrequency (%)
264
30.8%
) 219
25.6%
( 219
25.6%
2 22
 
2.6%
1 16
 
1.9%
& 16
 
1.9%
, 15
 
1.8%
. 14
 
1.6%
0 12
 
1.4%
# 10
 
1.2%
Other values (11) 49
 
5.7%
Han
ValueCountFrequency (%)
休 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9056
82.1%
ASCII 1974
 
17.9%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 531
 
5.9%
헤 503
 
5.6%
이 292
 
3.2%
스 224
 
2.5%
미 220
 
2.4%
리 193
 
2.1%
용 178
 
2.0%
소 164
 
1.8%
텔 147
 
1.6%
실 124
 
1.4%
Other values (559) 6480
71.6%
ASCII
ValueCountFrequency (%)
264
 
13.4%
) 219
 
11.1%
( 219
 
11.1%
a 87
 
4.4%
i 64
 
3.2%
e 61
 
3.1%
N 56
 
2.8%
r 55
 
2.8%
A 50
 
2.5%
h 46
 
2.3%
Other values (59) 853
43.2%
CJK
ValueCountFrequency (%)
休 2
100.0%

영업소 주소(도로명)
Text

Distinct1651
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-03-15T08:33:43.605957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length31.599186
Min length9

Characters and Unicode

Total characters54319
Distinct characters327
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

Unique1590 ?
Unique (%)92.5%

Sample

1st row강원특별자치도 춘천시 봉의산길 31 (봉의동)
2nd row강원특별자치도 춘천시 중앙로166번길 4 (근화동)
3rd row강원특별자치도 춘천시 중앙로124번길 12 (소양로4가)
4th row강원특별자치도 춘천시 춘천로186번길 4 (효자동)
5th row강원특별자치도 춘천시 중앙로 186-8 (근화동)
ValueCountFrequency (%)
강원특별자치도 1725
 
16.6%
춘천시 1719
 
16.6%
1층 595
 
5.7%
퇴계동 294
 
2.8%
후평동 252
 
2.4%
효자동 203
 
2.0%
석사동 193
 
1.9%
2층 159
 
1.5%
온의동 108
 
1.0%
동내면 89
 
0.9%
Other values (1402) 5029
48.5%
2024-03-15T08:33:45.401439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8649
 
15.9%
1 2462
 
4.5%
춘 2032
 
3.7%
천 2012
 
3.7%
자 1957
 
3.6%
강 1790
 
3.3%
동 1783
 
3.3%
시 1772
 
3.3%
원 1763
 
3.2%
도 1731
 
3.2%
Other values (317) 28368
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32899
60.6%
Space Separator 8649
 
15.9%
Decimal Number 8117
 
14.9%
Close Punctuation 1498
 
2.8%
Open Punctuation 1498
 
2.8%
Other Punctuation 1168
 
2.2%
Dash Punctuation 437
 
0.8%
Uppercase Letter 40
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 2032
 
6.2%
천 2012
 
6.1%
자 1957
 
5.9%
강 1790
 
5.4%
동 1783
 
5.4%
시 1772
 
5.4%
원 1763
 
5.4%
도 1731
 
5.3%
치 1729
 
5.3%
별 1727
 
5.2%
Other values (284) 14603
44.4%
Decimal Number
ValueCountFrequency (%)
1 2462
30.3%
2 1352
16.7%
3 750
 
9.2%
0 730
 
9.0%
4 607
 
7.5%
6 502
 
6.2%
5 482
 
5.9%
7 455
 
5.6%
8 409
 
5.0%
9 368
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
27.5%
A 8
20.0%
D 7
17.5%
E 4
 
10.0%
C 4
 
10.0%
L 3
 
7.5%
P 1
 
2.5%
R 1
 
2.5%
K 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 1165
99.7%
. 1
 
0.1%
@ 1
 
0.1%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 8
80.0%
> 1
 
10.0%
< 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 1497
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1497
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32899
60.6%
Common 21377
39.4%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 2032
 
6.2%
천 2012
 
6.1%
자 1957
 
5.9%
강 1790
 
5.4%
동 1783
 
5.4%
시 1772
 
5.4%
원 1763
 
5.4%
도 1731
 
5.3%
치 1729
 
5.3%
별 1727
 
5.2%
Other values (284) 14603
44.4%
Common
ValueCountFrequency (%)
8649
40.5%
1 2462
 
11.5%
) 1497
 
7.0%
( 1497
 
7.0%
2 1352
 
6.3%
, 1165
 
5.4%
3 750
 
3.5%
0 730
 
3.4%
4 607
 
2.8%
6 502
 
2.3%
Other values (13) 2166
 
10.1%
Latin
ValueCountFrequency (%)
B 11
25.6%
A 8
18.6%
D 7
16.3%
E 4
 
9.3%
C 4
 
9.3%
e 3
 
7.0%
L 3
 
7.0%
P 1
 
2.3%
R 1
 
2.3%
K 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32899
60.6%
ASCII 21420
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8649
40.4%
1 2462
 
11.5%
) 1497
 
7.0%
( 1497
 
7.0%
2 1352
 
6.3%
, 1165
 
5.4%
3 750
 
3.5%
0 730
 
3.4%
4 607
 
2.8%
6 502
 
2.3%
Other values (23) 2209
 
10.3%
Hangul
ValueCountFrequency (%)
춘 2032
 
6.2%
천 2012
 
6.1%
자 1957
 
5.9%
강 1790
 
5.4%
동 1783
 
5.4%
시 1772
 
5.4%
원 1763
 
5.4%
도 1731
 
5.3%
치 1729
 
5.3%
별 1727
 
5.2%
Other values (284) 14603
44.4%

영업소 주소(지번)
Text

Distinct1565
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2024-03-15T08:33:46.992518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length25.126236
Min length19

Characters and Unicode

Total characters43192
Distinct characters269
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

Unique1471 ?
Unique (%)85.6%

Sample

1st row강원특별자치도 춘천시 봉의동 15-3
2nd row강원특별자치도 춘천시 근화동 719-1
3rd row강원특별자치도 춘천시 소양로4가 107-6
4th row강원특별자치도 춘천시 효자동 655-6
5th row강원특별자치도 춘천시 근화동 264-31
ValueCountFrequency (%)
강원특별자치도 1723
21.3%
춘천시 1720
21.2%
퇴계동 295
 
3.6%
1층 252
 
3.1%
후평동 251
 
3.1%
효자동 203
 
2.5%
석사동 193
 
2.4%
온의동 108
 
1.3%
동내면 89
 
1.1%
근화동 73
 
0.9%
Other values (1703) 3200
39.5%
2024-03-15T08:33:49.221650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7918
18.3%
1 1973
 
4.6%
자 1929
 
4.5%
천 1840
 
4.3%
춘 1764
 
4.1%
강 1747
 
4.0%
시 1746
 
4.0%
원 1736
 
4.0%
도 1727
 
4.0%
별 1725
 
4.0%
Other values (259) 19087
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25619
59.3%
Decimal Number 8198
 
19.0%
Space Separator 7918
 
18.3%
Dash Punctuation 1364
 
3.2%
Other Punctuation 45
 
0.1%
Uppercase Letter 20
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1929
 
7.5%
천 1840
 
7.2%
춘 1764
 
6.9%
강 1747
 
6.8%
시 1746
 
6.8%
원 1736
 
6.8%
도 1727
 
6.7%
별 1725
 
6.7%
특 1723
 
6.7%
치 1723
 
6.7%
Other values (229) 7959
31.1%
Decimal Number
ValueCountFrequency (%)
1 1973
24.1%
2 947
11.6%
0 741
 
9.0%
6 720
 
8.8%
3 717
 
8.7%
7 665
 
8.1%
8 661
 
8.1%
5 610
 
7.4%
9 597
 
7.3%
4 567
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
40.0%
D 3
 
15.0%
A 3
 
15.0%
C 3
 
15.0%
K 1
 
5.0%
L 1
 
5.0%
E 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 38
84.4%
@ 5
 
11.1%
/ 1
 
2.2%
. 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 7
87.5%
] 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 7
87.5%
[ 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 5
62.5%
e 3
37.5%
Space Separator
ValueCountFrequency (%)
7918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1364
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25619
59.3%
Common 17545
40.6%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1929
 
7.5%
천 1840
 
7.2%
춘 1764
 
6.9%
강 1747
 
6.8%
시 1746
 
6.8%
원 1736
 
6.8%
도 1727
 
6.7%
별 1725
 
6.7%
특 1723
 
6.7%
치 1723
 
6.7%
Other values (229) 7959
31.1%
Common
ValueCountFrequency (%)
7918
45.1%
1 1973
 
11.2%
- 1364
 
7.8%
2 947
 
5.4%
0 741
 
4.2%
6 720
 
4.1%
3 717
 
4.1%
7 665
 
3.8%
8 661
 
3.8%
5 610
 
3.5%
Other values (11) 1229
 
7.0%
Latin
ValueCountFrequency (%)
B 8
28.6%
a 5
17.9%
D 3
 
10.7%
A 3
 
10.7%
e 3
 
10.7%
C 3
 
10.7%
K 1
 
3.6%
L 1
 
3.6%
E 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25619
59.3%
ASCII 17573
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7918
45.1%
1 1973
 
11.2%
- 1364
 
7.8%
2 947
 
5.4%
0 741
 
4.2%
6 720
 
4.1%
3 717
 
4.1%
7 665
 
3.8%
8 661
 
3.8%
5 610
 
3.5%
Other values (20) 1257
 
7.2%
Hangul
ValueCountFrequency (%)
자 1929
 
7.5%
천 1840
 
7.2%
춘 1764
 
6.9%
강 1747
 
6.8%
시 1746
 
6.8%
원 1736
 
6.8%
도 1727
 
6.7%
별 1725
 
6.7%
특 1723
 
6.7%
치 1723
 
6.7%
Other values (229) 7959
31.1%

소재지전화
Text

MISSING 

Distinct1193
Distinct (%)98.4%
Missing507
Missing (%)29.5%
Memory size13.6 KiB
2024-03-15T08:33:50.253418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015677
Min length12

Characters and Unicode

Total characters14563
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

Unique1175 ?
Unique (%)96.9%

Sample

1st row033-252-1191
2nd row033-254-2944
3rd row033-254-4724
4th row033-244-8665
5th row033-254-2754
ValueCountFrequency (%)
031-582-2197 3
 
0.2%
033-254-5525 2
 
0.2%
033-252-3703 2
 
0.2%
033-254-1559 2
 
0.2%
033-263-2603 2
 
0.2%
033-243-5566 2
 
0.2%
033-255-8948 2
 
0.2%
033-264-7555 2
 
0.2%
033-242-7677 2
 
0.2%
033-254-8123 2
 
0.2%
Other values (1183) 1191
98.3%
2024-03-15T08:33:51.438896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3121
21.4%
- 2424
16.6%
2 1912
13.1%
0 1811
12.4%
5 1292
8.9%
4 861
 
5.9%
6 824
 
5.7%
1 755
 
5.2%
7 635
 
4.4%
8 503
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12139
83.4%
Dash Punctuation 2424
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3121
25.7%
2 1912
15.8%
0 1811
14.9%
5 1292
10.6%
4 861
 
7.1%
6 824
 
6.8%
1 755
 
6.2%
7 635
 
5.2%
8 503
 
4.1%
9 425
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14563
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3121
21.4%
- 2424
16.6%
2 1912
13.1%
0 1811
12.4%
5 1292
8.9%
4 861
 
5.9%
6 824
 
5.7%
1 755
 
5.2%
7 635
 
4.4%
8 503
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3121
21.4%
- 2424
16.6%
2 1912
13.1%
0 1811
12.4%
5 1292
8.9%
4 861
 
5.9%
6 824
 
5.7%
1 755
 
5.2%
7 635
 
4.4%
8 503
 
3.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-09-30
1719 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 1719
100.0%

Length

2024-03-15T08:33:51.840895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:33:52.161286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 1719
100.0%

Missing values

2024-03-15T08:33:39.052980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:33:39.430671image/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.

Sample

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일
0숙박업(일반)춘천세종호텔강원특별자치도 춘천시 봉의산길 31 (봉의동)강원특별자치도 춘천시 봉의동 15-3033-252-11912023-09-30
1숙박업(일반)동성모텔강원특별자치도 춘천시 중앙로166번길 4 (근화동)강원특별자치도 춘천시 근화동 719-1033-254-29442023-09-30
2숙박업(일반)삼화여인숙강원특별자치도 춘천시 중앙로124번길 12 (소양로4가)강원특별자치도 춘천시 소양로4가 107-6033-254-47242023-09-30
3숙박업(일반)짝모텔강원특별자치도 춘천시 춘천로186번길 4 (효자동)강원특별자치도 춘천시 효자동 655-6033-244-86652023-09-30
4숙박업(일반)별장모텔강원특별자치도 춘천시 중앙로 186-8 (근화동)강원특별자치도 춘천시 근화동 264-31033-254-27542023-09-30
5숙박업(일반)호텔정관루별관(투투별장,아뜰리에별장,문학인촌)강원특별자치도 춘천시 남산면 남이섬길 1강원특별자치도 춘천시 남산면 방하리 198031-582-21972023-09-30
6숙박업(일반)강릉여인숙강원특별자치도 춘천시 가연길5번길 2-2 (소양로4가)강원특별자치도 춘천시 소양로4가 104-12033-254-45392023-09-30
7숙박업(일반)k모텔강원특별자치도 춘천시 시청길12번길 18 (조양동)강원특별자치도 춘천시 조양동 47-4033-253-60342023-09-30
8숙박업(일반)조인모텔강원특별자치도 춘천시 중앙로166번길 5 (근화동)강원특별자치도 춘천시 근화동 722-9033-252-65672023-09-30
9숙박업(일반)공주여관강원특별자치도 춘천시 공지로 473-1 (근화동)강원특별자치도 춘천시 근화동 264-24033-254-24142023-09-30
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일
1709피부미용업, 네일미용업, 화장ㆍ분장 미용업네일유메이징강원특별자치도 춘천시 퇴계로 249, 105-1호 (석사동)강원특별자치도 춘천시 석사동 818-14 105-1호033-253-73242023-09-30
1710피부미용업, 네일미용업, 화장ㆍ분장 미용업뷰티로그강원특별자치도 춘천시 후석로66번길 43, 1층 101호 (석사동)강원특별자치도 춘천시 석사동 310-13<NA>2023-09-30
1711피부미용업, 네일미용업, 화장ㆍ분장 미용업네일리(NAILY)강원특별자치도 춘천시 공지로441번길 11, 1층 (근화동)강원특별자치도 춘천시 근화동 288-12 1층<NA>2023-09-30
1712피부미용업, 네일미용업, 화장ㆍ분장 미용업춘천왁싱 에스샵왁싱강원특별자치도 춘천시 영서로 2157, 1층 (퇴계동)강원특별자치도 춘천시 퇴계동 418-8 1층<NA>2023-09-30
1713피부미용업, 네일미용업, 화장ㆍ분장 미용업뷰티N뷰티강원특별자치도 춘천시 퇴계로145번길 7-10, 1층 101호 (퇴계동)강원특별자치도 춘천시 퇴계동 959-13 1층 101호<NA>2023-09-30
1714피부미용업, 네일미용업, 화장ㆍ분장 미용업춘천댁네일강원특별자치도 춘천시 중앙로67번길 18, 1204호 (죽림동, 브라운가)강원특별자치도 춘천시 죽림동 189 브라운가033-252-84462023-09-30
1715피부미용업, 네일미용업, 화장ㆍ분장 미용업뉴플렉스(New Flex)강원특별자치도 춘천시 퇴계로 78 (퇴계동)강원특별자치도 춘천시 퇴계동 1169-1033-255-34632023-09-30
1716피부미용업, 네일미용업, 화장ㆍ분장 미용업블링블랑강원특별자치도 춘천시 중앙로77번길 32, 1층 (죽림동)강원특별자치도 춘천시 죽림동 4-30<NA>2023-09-30
1717피부미용업, 네일미용업, 화장ㆍ분장 미용업뷰티안강원특별자치도 춘천시 지석로 75, 2층 204호 (석사동)강원특별자치도 춘천시 석사동 880-5<NA>2023-09-30
1718피부미용업, 네일미용업, 화장ㆍ분장 미용업네일,혜강원특별자치도 춘천시 춘천로 260, 1층 (후평동)강원특별자치도 춘천시 후평동 678-16<NA>2023-09-30