Overview

Dataset statistics

Number of variables8
Number of observations786
Missing cells276
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.3 KiB
Average record size in memory64.2 B

Variable types

Categorical4
Text4

Dataset

Description충청북도 충주시 이,미용업소 현황에 대한 데이터 제공(자치단체명, 업종명, 업소명, 도로명주소, 지번주소, 소재지 전화, 담당부서 등)
URLhttps://www.data.go.kr/data/3066544/fileData.do

Alerts

자치단체명 has constant value ""Constant
담당부서 has constant value ""Constant
문의전화 has constant value ""Constant
소재지전화 has 274 (34.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:12:07.429326
Analysis finished2023-12-12 18:12:08.638424
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
충청북도 충주시청
786 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 충주시청
2nd row충청북도 충주시청
3rd row충청북도 충주시청
4th row충청북도 충주시청
5th row충청북도 충주시청

Common Values

ValueCountFrequency (%)
충청북도 충주시청 786
100.0%

Length

2023-12-13T03:12:08.735160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:12:08.885511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 786
50.0%
충주시청 786
50.0%

업종명
Categorical

Distinct14
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
미용업
279 
일반미용업
142 
종합미용업
140 
피부미용업
87 
네일미용업
42 
Other values (9)
96 

Length

Max length23
Median length5
Mean length5.7264631
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미용업 279
35.5%
일반미용업 142
18.1%
종합미용업 140
17.8%
피부미용업 87
 
11.1%
네일미용업 42
 
5.3%
일반미용업, 네일미용업, 화장ㆍ분장 미용업 38
 
4.8%
일반미용업, 네일미용업 15
 
1.9%
피부미용업, 네일미용업 14
 
1.8%
화장ㆍ분장 미용업 12
 
1.5%
네일미용업, 화장ㆍ분장 미용업 5
 
0.6%
Other values (4) 12
 
1.5%

Length

2023-12-13T03:12:09.053764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 339
34.8%
일반미용업 205
21.1%
종합미용업 140
14.4%
네일미용업 119
 
12.2%
피부미용업 110
 
11.3%
화장ㆍ분장 60
 
6.2%

업소명
Text

Distinct785
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-13T03:12:09.366729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length5.9211196
Min length2

Characters and Unicode

Total characters4654
Distinct characters493
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique784 ?
Unique (%)99.7%

Sample

1st row크로바미용실
2nd row양미장원
3rd row헤라헤어
4th row명동미용실
5th row자유미장원
ValueCountFrequency (%)
헤어 15
 
1.6%
네일 7
 
0.8%
hair 7
 
0.8%
nail 6
 
0.7%
헤어샵 4
 
0.4%
살롱드 4
 
0.4%
살롱 4
 
0.4%
에스테틱 4
 
0.4%
헤어살롱 3
 
0.3%
the 3
 
0.3%
Other values (854) 865
93.8%
2023-12-13T03:12:09.808513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 359
 
7.7%
헤 342
 
7.3%
미 169
 
3.6%
136
 
2.9%
실 115
 
2.5%
리 111
 
2.4%
용 110
 
2.4%
샵 91
 
2.0%
스 83
 
1.8%
이 80
 
1.7%
Other values (483) 3058
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3987
85.7%
Lowercase Letter 188
 
4.0%
Uppercase Letter 167
 
3.6%
Space Separator 136
 
2.9%
Close Punctuation 50
 
1.1%
Open Punctuation 50
 
1.1%
Other Punctuation 43
 
0.9%
Decimal Number 31
 
0.7%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 359
 
9.0%
헤 342
 
8.6%
미 169
 
4.2%
실 115
 
2.9%
리 111
 
2.8%
용 110
 
2.8%
샵 91
 
2.3%
스 83
 
2.1%
이 80
 
2.0%
일 69
 
1.7%
Other values (421) 2458
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 14
 
8.4%
H 13
 
7.8%
E 13
 
7.8%
N 12
 
7.2%
J 12
 
7.2%
O 12
 
7.2%
M 10
 
6.0%
A 9
 
5.4%
R 9
 
5.4%
I 9
 
5.4%
Other values (12) 54
32.3%
Lowercase Letter
ValueCountFrequency (%)
a 31
16.5%
i 30
16.0%
e 21
11.2%
n 19
10.1%
o 14
7.4%
r 11
 
5.9%
h 11
 
5.9%
l 10
 
5.3%
m 7
 
3.7%
y 6
 
3.2%
Other values (11) 28
14.9%
Decimal Number
ValueCountFrequency (%)
1 8
25.8%
2 7
22.6%
0 5
16.1%
3 4
12.9%
4 3
 
9.7%
5 2
 
6.5%
8 1
 
3.2%
9 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 11
25.6%
# 9
20.9%
& 9
20.9%
. 6
14.0%
: 6
14.0%
' 2
 
4.7%
Space Separator
ValueCountFrequency (%)
136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3986
85.6%
Latin 355
 
7.6%
Common 312
 
6.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 359
 
9.0%
헤 342
 
8.6%
미 169
 
4.2%
실 115
 
2.9%
리 111
 
2.8%
용 110
 
2.8%
샵 91
 
2.3%
스 83
 
2.1%
이 80
 
2.0%
일 69
 
1.7%
Other values (420) 2457
61.6%
Latin
ValueCountFrequency (%)
a 31
 
8.7%
i 30
 
8.5%
e 21
 
5.9%
n 19
 
5.4%
S 14
 
3.9%
o 14
 
3.9%
H 13
 
3.7%
E 13
 
3.7%
N 12
 
3.4%
J 12
 
3.4%
Other values (33) 176
49.6%
Common
ValueCountFrequency (%)
136
43.6%
) 50
 
16.0%
( 50
 
16.0%
, 11
 
3.5%
# 9
 
2.9%
& 9
 
2.9%
1 8
 
2.6%
2 7
 
2.2%
. 6
 
1.9%
: 6
 
1.9%
Other values (9) 20
 
6.4%
Han
ValueCountFrequency (%)
化 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3985
85.6%
ASCII 666
 
14.3%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 359
 
9.0%
헤 342
 
8.6%
미 169
 
4.2%
실 115
 
2.9%
리 111
 
2.8%
용 110
 
2.8%
샵 91
 
2.3%
스 83
 
2.1%
이 80
 
2.0%
일 69
 
1.7%
Other values (419) 2456
61.6%
ASCII
ValueCountFrequency (%)
136
20.4%
) 50
 
7.5%
( 50
 
7.5%
a 31
 
4.7%
i 30
 
4.5%
e 21
 
3.2%
n 19
 
2.9%
S 14
 
2.1%
o 14
 
2.1%
H 13
 
2.0%
Other values (51) 288
43.2%
CJK
ValueCountFrequency (%)
化 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

도로명주소
Text

Distinct779
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-13T03:12:10.142527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length27.996183
Min length9

Characters and Unicode

Total characters22005
Distinct characters264
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

Unique772 ?
Unique (%)98.2%

Sample

1st row충청북도 충주시 사직산23길 24 (문화동)
2nd row충청북도 충주시 탄금대로 17-2 (문화동)
3rd row충청북도 충주시 호암대로 124 (호암동)
4th row충청북도 충주시 충인6길 6 (충의동)
5th row충청북도 충주시 앙성면 용당1길 9
ValueCountFrequency (%)
충청북도 785
 
16.5%
충주시 785
 
16.5%
1층 222
 
4.7%
연수동 177
 
3.7%
교현동 109
 
2.3%
2층 88
 
1.9%
용산동 78
 
1.6%
호암동 58
 
1.2%
칠금동 58
 
1.2%
문화동 49
 
1.0%
Other values (824) 2336
49.2%
2023-12-13T03:12:10.650195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3960
18.0%
충 1629
 
7.4%
1 1107
 
5.0%
동 877
 
4.0%
주 836
 
3.8%
시 813
 
3.7%
청 804
 
3.7%
도 790
 
3.6%
북 786
 
3.6%
( 735
 
3.3%
Other values (254) 9668
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12544
57.0%
Space Separator 3960
 
18.0%
Decimal Number 3307
 
15.0%
Open Punctuation 735
 
3.3%
Close Punctuation 735
 
3.3%
Other Punctuation 522
 
2.4%
Dash Punctuation 144
 
0.7%
Uppercase Letter 46
 
0.2%
Lowercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 1629
 
13.0%
동 877
 
7.0%
주 836
 
6.7%
시 813
 
6.5%
청 804
 
6.4%
도 790
 
6.3%
북 786
 
6.3%
길 442
 
3.5%
로 372
 
3.0%
호 342
 
2.7%
Other values (222) 4853
38.7%
Decimal Number
ValueCountFrequency (%)
1 1107
33.5%
2 581
17.6%
0 331
 
10.0%
3 308
 
9.3%
4 222
 
6.7%
5 206
 
6.2%
7 153
 
4.6%
6 144
 
4.4%
9 131
 
4.0%
8 124
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 19
41.3%
L 5
 
10.9%
E 5
 
10.9%
C 5
 
10.9%
B 4
 
8.7%
R 2
 
4.3%
V 2
 
4.3%
H 2
 
4.3%
I 1
 
2.2%
P 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 514
98.5%
@ 7
 
1.3%
. 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
< 1
25.0%
> 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3960
100.0%
Open Punctuation
ValueCountFrequency (%)
( 735
100.0%
Close Punctuation
ValueCountFrequency (%)
) 735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12544
57.0%
Common 9407
42.7%
Latin 54
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 1629
 
13.0%
동 877
 
7.0%
주 836
 
6.7%
시 813
 
6.5%
청 804
 
6.4%
도 790
 
6.3%
북 786
 
6.3%
길 442
 
3.5%
로 372
 
3.0%
호 342
 
2.7%
Other values (222) 4853
38.7%
Common
ValueCountFrequency (%)
3960
42.1%
1 1107
 
11.8%
( 735
 
7.8%
) 735
 
7.8%
2 581
 
6.2%
, 514
 
5.5%
0 331
 
3.5%
3 308
 
3.3%
4 222
 
2.4%
5 206
 
2.2%
Other values (10) 708
 
7.5%
Latin
ValueCountFrequency (%)
A 19
35.2%
e 7
 
13.0%
L 5
 
9.3%
E 5
 
9.3%
C 5
 
9.3%
B 4
 
7.4%
R 2
 
3.7%
V 2
 
3.7%
H 2
 
3.7%
c 1
 
1.9%
Other values (2) 2
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12544
57.0%
ASCII 9461
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3960
41.9%
1 1107
 
11.7%
( 735
 
7.8%
) 735
 
7.8%
2 581
 
6.1%
, 514
 
5.4%
0 331
 
3.5%
3 308
 
3.3%
4 222
 
2.3%
5 206
 
2.2%
Other values (22) 762
 
8.1%
Hangul
ValueCountFrequency (%)
충 1629
 
13.0%
동 877
 
7.0%
주 836
 
6.7%
시 813
 
6.5%
청 804
 
6.4%
도 790
 
6.3%
북 786
 
6.3%
길 442
 
3.5%
로 372
 
3.0%
호 342
 
2.7%
Other values (222) 4853
38.7%

지번주소
Text

Distinct725
Distinct (%)92.5%
Missing2
Missing (%)0.3%
Memory size6.3 KiB
2023-12-13T03:12:10.882971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length20.795918
Min length15

Characters and Unicode

Total characters16304
Distinct characters217
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

Unique676 ?
Unique (%)86.2%

Sample

1st row충청북도 충주시 문화동 843
2nd row충청북도 충주시 문화동 640
3rd row충청북도 충주시 호암동 186-3
4th row충청북도 충주시 충의동 224
5th row충청북도 충주시 앙성면 용포리 73-5
ValueCountFrequency (%)
충청북도 784
22.1%
충주시 784
22.1%
연수동 185
 
5.2%
교현동 111
 
3.1%
용산동 79
 
2.2%
칠금동 60
 
1.7%
호암동 60
 
1.7%
문화동 48
 
1.4%
봉방동 36
 
1.0%
성서동 32
 
0.9%
Other values (855) 1369
38.6%
2023-12-13T03:12:11.285517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3491
21.4%
충 1613
 
9.9%
주 829
 
5.1%
시 795
 
4.9%
도 786
 
4.8%
북 784
 
4.8%
청 784
 
4.8%
1 774
 
4.7%
동 747
 
4.6%
2 402
 
2.5%
Other values (207) 5299
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9248
56.7%
Space Separator 3491
 
21.4%
Decimal Number 3251
 
19.9%
Dash Punctuation 268
 
1.6%
Uppercase Letter 22
 
0.1%
Lowercase Letter 7
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 1613
17.4%
주 829
 
9.0%
시 795
 
8.6%
도 786
 
8.5%
북 784
 
8.5%
청 784
 
8.5%
동 747
 
8.1%
수 203
 
2.2%
연 200
 
2.2%
호 154
 
1.7%
Other values (181) 2353
25.4%
Decimal Number
ValueCountFrequency (%)
1 774
23.8%
2 402
12.4%
6 343
10.6%
0 285
 
8.8%
4 278
 
8.6%
3 263
 
8.1%
5 259
 
8.0%
7 244
 
7.5%
8 204
 
6.3%
9 199
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
40.9%
E 4
18.2%
L 3
 
13.6%
V 2
 
9.1%
I 1
 
4.5%
H 1
 
4.5%
C 1
 
4.5%
R 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
@ 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
3491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9248
56.7%
Common 7027
43.1%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 1613
17.4%
주 829
 
9.0%
시 795
 
8.6%
도 786
 
8.5%
북 784
 
8.5%
청 784
 
8.5%
동 747
 
8.1%
수 203
 
2.2%
연 200
 
2.2%
호 154
 
1.7%
Other values (181) 2353
25.4%
Common
ValueCountFrequency (%)
3491
49.7%
1 774
 
11.0%
2 402
 
5.7%
6 343
 
4.9%
0 285
 
4.1%
4 278
 
4.0%
- 268
 
3.8%
3 263
 
3.7%
5 259
 
3.7%
7 244
 
3.5%
Other values (7) 420
 
6.0%
Latin
ValueCountFrequency (%)
A 9
31.0%
e 7
24.1%
E 4
13.8%
L 3
 
10.3%
V 2
 
6.9%
I 1
 
3.4%
H 1
 
3.4%
C 1
 
3.4%
R 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9248
56.7%
ASCII 7056
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3491
49.5%
1 774
 
11.0%
2 402
 
5.7%
6 343
 
4.9%
0 285
 
4.0%
4 278
 
3.9%
- 268
 
3.8%
3 263
 
3.7%
5 259
 
3.7%
7 244
 
3.5%
Other values (16) 449
 
6.4%
Hangul
ValueCountFrequency (%)
충 1613
17.4%
주 829
 
9.0%
시 795
 
8.6%
도 786
 
8.5%
북 784
 
8.5%
청 784
 
8.5%
동 747
 
8.1%
수 203
 
2.2%
연 200
 
2.2%
호 154
 
1.7%
Other values (181) 2353
25.4%

소재지전화
Text

MISSING 

Distinct510
Distinct (%)99.6%
Missing274
Missing (%)34.9%
Memory size6.3 KiB
2023-12-13T03:12:11.521000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.027344
Min length11

Characters and Unicode

Total characters6158
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

Unique508 ?
Unique (%)99.2%

Sample

1st row043-848-6952
2nd row043-844-2596
3rd row043-854-0342
4th row043-842-7426
5th row043-851-2835
ValueCountFrequency (%)
043-857-5352 2
 
0.4%
043-845-8680 2
 
0.4%
043-855-0803 1
 
0.2%
043-848-9970 1
 
0.2%
043-848-8177 1
 
0.2%
043-853-3220 1
 
0.2%
043-855-1560 1
 
0.2%
043-843-4692 1
 
0.2%
043-646-1209 1
 
0.2%
043-853-2338 1
 
0.2%
Other values (500) 500
97.7%
2023-12-13T03:12:11.913543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1024
16.6%
4 996
16.2%
0 807
13.1%
3 772
12.5%
8 756
12.3%
5 579
9.4%
7 294
 
4.8%
2 275
 
4.5%
6 251
 
4.1%
1 229
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5134
83.4%
Dash Punctuation 1024
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 996
19.4%
0 807
15.7%
3 772
15.0%
8 756
14.7%
5 579
11.3%
7 294
 
5.7%
2 275
 
5.4%
6 251
 
4.9%
1 229
 
4.5%
9 175
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1024
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1024
16.6%
4 996
16.2%
0 807
13.1%
3 772
12.5%
8 756
12.3%
5 579
9.4%
7 294
 
4.8%
2 275
 
4.5%
6 251
 
4.1%
1 229
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1024
16.6%
4 996
16.2%
0 807
13.1%
3 772
12.5%
8 756
12.3%
5 579
9.4%
7 294
 
4.8%
2 275
 
4.5%
6 251
 
4.1%
1 229
 
3.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
충주시청 위생과
786 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충주시청 위생과
2nd row충주시청 위생과
3rd row충주시청 위생과
4th row충주시청 위생과
5th row충주시청 위생과

Common Values

ValueCountFrequency (%)
충주시청 위생과 786
100.0%

Length

2023-12-13T03:12:12.049480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:12:12.145154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충주시청 786
50.0%
위생과 786
50.0%

문의전화
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
043-850-3492
786 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row043-850-3492
2nd row043-850-3492
3rd row043-850-3492
4th row043-850-3492
5th row043-850-3492

Common Values

ValueCountFrequency (%)
043-850-3492 786
100.0%

Length

2023-12-13T03:12:12.255310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:12:12.371169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-850-3492 786
100.0%

Missing values

2023-12-13T03:12:08.215356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:12:08.438257image/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.
2023-12-13T03:12:08.575768image/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

자치단체명업종명업소명도로명주소지번주소소재지전화담당부서문의전화
0충청북도 충주시청미용업크로바미용실충청북도 충주시 사직산23길 24 (문화동)충청북도 충주시 문화동 843043-848-6952충주시청 위생과043-850-3492
1충청북도 충주시청미용업양미장원충청북도 충주시 탄금대로 17-2 (문화동)충청북도 충주시 문화동 640043-844-2596충주시청 위생과043-850-3492
2충청북도 충주시청미용업헤라헤어충청북도 충주시 호암대로 124 (호암동)충청북도 충주시 호암동 186-3043-854-0342충주시청 위생과043-850-3492
3충청북도 충주시청미용업명동미용실충청북도 충주시 충인6길 6 (충의동)충청북도 충주시 충의동 224043-842-7426충주시청 위생과043-850-3492
4충청북도 충주시청미용업자유미장원충청북도 충주시 앙성면 용당1길 9충청북도 충주시 앙성면 용포리 73-5043-851-2835충주시청 위생과043-850-3492
5충청북도 충주시청미용업하나미용실충청북도 충주시 중앙로 42-1 (문화동)충청북도 충주시 문화동 844043-847-6943충주시청 위생과043-850-3492
6충청북도 충주시청미용업중앙미용실충청북도 충주시 무학천변길 86 (봉방동)충청북도 충주시 봉방동 1-22043-842-0151충주시청 위생과043-850-3492
7충청북도 충주시청미용업이대단골미용실충청북도 충주시 행정4길 17-1 (목행동)충청북도 충주시 목행동 665-2043-853-1616충주시청 위생과043-850-3492
8충청북도 충주시청미용업한미용실충청북도 충주시 수안보면 온천중앙길 26-1충청북도 충주시 수안보면 온천리 231-6043-846-0274충주시청 위생과043-850-3492
9충청북도 충주시청미용업선녀미용실충청북도 충주시 자유시장길 13 (충의동)충청북도 충주시 충의동 198043-847-9806충주시청 위생과043-850-3492
자치단체명업종명업소명도로명주소지번주소소재지전화담당부서문의전화
776충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업오늘도, 수충청북도 충주시 동수1길 44-1, 1층 (연수동)충청북도 충주시 연수동 1430043-845-8517충주시청 위생과043-850-3492
777충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업The Da:on hair(더다온헤어)충청북도 충주시 남산로 87, 2층 (용산동)충청북도 충주시 용산동 1645<NA>충주시청 위생과043-850-3492
778충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업온슬충청북도 충주시 연원로 2, 1층 (연수동)충청북도 충주시 연수동 820<NA>충주시청 위생과043-850-3492
779충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업에코레비헤어&두피충청북도 충주시 지곡10길 10, 지현현대아파트상가 201호 (지현동)충청북도 충주시 지현동 1088 지현현대아파트상가<NA>충주시청 위생과043-850-3492
780충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업mienne salon(미엔느 살롱)충청북도 충주시 금곡서2길 7, 1층 (연수동)충청북도 충주시 연수동 1315-6<NA>충주시청 위생과043-850-3492
781충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업난영헤어충청북도 충주시 호암수청1로 13, 상가2동 104호 (호암동, 우미린에듀시티)충청북도 충주시 호암동 1052 우미린에듀시티<NA>충주시청 위생과043-850-3492
782충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업미뷰티끄충청북도 충주시 연수로2길 22, 1층 (연수동)충청북도 충주시 연수동 601<NA>충주시청 위생과043-850-3492
783충청북도 충주시청일반미용업, 네일미용업, 화장ㆍ분장 미용업메이릴리충청북도 충주시 연수로1길 10, 연수아이파크아파트상가 상가동 1층 105호 (연수동)충청북도 충주시 연수동 605 연수아이파크아파트상가<NA>충주시청 위생과043-850-3492
784충청북도 충주시청피부미용업, 네일미용업, 화장ㆍ분장 미용업효정 에스테틱충청북도 충주시 칠금18길 37, 1층 (칠금동)충청북도 충주시 칠금동 634<NA>충주시청 위생과043-850-3492
785충청북도 충주시청피부미용업, 네일미용업, 화장ㆍ분장 미용업은네일충청북도 충주시 동수2길 43, 1층 (연수동)충청북도 충주시 연수동 1375<NA>충주시청 위생과043-850-3492