Overview

Dataset statistics

Number of variables7
Number of observations866
Missing cells413
Missing cells (%)6.8%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory47.5 KiB
Average record size in memory56.1 B

Variable types

Categorical2
DateTime1
Text4

Dataset

Description울산광역시 중구 내 소재한 미용업에 대한 데이터 입니다. 해당 데이터는 명칭, 소재지, 연락처, 업종 등의 정보를 포함하고 있습니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15055274/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
업종명 is highly imbalanced (55.5%)Imbalance
소재지전화 has 413 (47.7%) missing valuesMissing

Reproduction

Analysis started2024-03-14 23:27:47.992866
Analysis finished2024-03-14 23:27:49.616998
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
일반미용업
609 
피부미용업
91 
네일미용업
67 
종합미용업
 
24
화장ㆍ분장미용업
 
15
Other values (9)
 
60

Length

Max length20
Median length5
Mean length5.7309469
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 609
70.3%
피부미용업 91
 
10.5%
네일미용업 67
 
7.7%
종합미용업 24
 
2.8%
화장ㆍ분장미용업 15
 
1.7%
피부미용업,네일미용업,화장ㆍ분장미용업 14
 
1.6%
네일미용업,화장ㆍ분장미용업 11
 
1.3%
피부미용업,네일미용업 9
 
1.0%
피부미용업,화장ㆍ분장미용업 8
 
0.9%
일반미용업,화장ㆍ분장미용업 7
 
0.8%
Other values (4) 11
 
1.3%

Length

2024-03-15T08:27:49.900017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 609
70.3%
피부미용업 91
 
10.5%
네일미용업 67
 
7.7%
종합미용업 24
 
2.8%
화장ㆍ분장미용업 15
 
1.7%
피부미용업,네일미용업,화장ㆍ분장미용업 14
 
1.6%
네일미용업,화장ㆍ분장미용업 11
 
1.3%
피부미용업,네일미용업 9
 
1.0%
피부미용업,화장ㆍ분장미용업 8
 
0.9%
일반미용업,화장ㆍ분장미용업 7
 
0.8%
Other values (4) 11
 
1.3%

신고일자
Date

Distinct809
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum1970-05-19 00:00:00
Maximum2024-01-16 00:00:00
2024-03-15T08:27:50.319906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:27:50.843060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct837
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-03-15T08:27:51.908857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length5.8706697
Min length1

Characters and Unicode

Total characters5084
Distinct characters509
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique811 ?
Unique (%)93.6%

Sample

1st row태양머리방
2nd row석미용실
3rd row별님미용실
4th row백합헤어샆
5th row조희미용실
ValueCountFrequency (%)
포맨남성컷트전문점 3
 
0.3%
제이헤어 3
 
0.3%
헤어스케치 3
 
0.3%
라움헤어 2
 
0.2%
네바에 2
 
0.2%
정헤어 2
 
0.2%
퀸즈헤나 2
 
0.2%
고은헤어 2
 
0.2%
남성컷트전문점 2
 
0.2%
은하미용실 2
 
0.2%
Other values (827) 843
97.3%
2024-03-15T08:27:53.424097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 389
 
7.7%
헤 376
 
7.4%
미 190
 
3.7%
실 125
 
2.5%
용 121
 
2.4%
이 106
 
2.1%
리 105
 
2.1%
스 102
 
2.0%
일 74
 
1.5%
네 71
 
1.4%
Other values (499) 3425
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4501
88.5%
Lowercase Letter 232
 
4.6%
Uppercase Letter 174
 
3.4%
Close Punctuation 61
 
1.2%
Open Punctuation 61
 
1.2%
Other Punctuation 34
 
0.7%
Decimal Number 20
 
0.4%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 389
 
8.6%
헤 376
 
8.4%
미 190
 
4.2%
실 125
 
2.8%
용 121
 
2.7%
이 106
 
2.4%
리 105
 
2.3%
스 102
 
2.3%
일 74
 
1.6%
네 71
 
1.6%
Other values (434) 2842
63.1%
Lowercase Letter
ValueCountFrequency (%)
a 31
13.4%
e 23
9.9%
i 23
9.9%
o 22
9.5%
l 21
9.1%
n 16
 
6.9%
r 13
 
5.6%
u 12
 
5.2%
h 10
 
4.3%
s 10
 
4.3%
Other values (13) 51
22.0%
Uppercase Letter
ValueCountFrequency (%)
A 23
13.2%
N 17
 
9.8%
L 14
 
8.0%
E 12
 
6.9%
O 12
 
6.9%
T 11
 
6.3%
S 10
 
5.7%
I 9
 
5.2%
B 8
 
4.6%
J 8
 
4.6%
Other values (13) 50
28.7%
Other Punctuation
ValueCountFrequency (%)
. 9
26.5%
' 7
20.6%
, 5
14.7%
& 5
14.7%
# 3
 
8.8%
: 3
 
8.8%
% 1
 
2.9%
/ 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
2 4
20.0%
4 3
15.0%
8 2
 
10.0%
7 2
 
10.0%
9 2
 
10.0%
0 1
 
5.0%
5 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4501
88.5%
Latin 406
 
8.0%
Common 177
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 389
 
8.6%
헤 376
 
8.4%
미 190
 
4.2%
실 125
 
2.8%
용 121
 
2.7%
이 106
 
2.4%
리 105
 
2.3%
스 102
 
2.3%
일 74
 
1.6%
네 71
 
1.6%
Other values (434) 2842
63.1%
Latin
ValueCountFrequency (%)
a 31
 
7.6%
A 23
 
5.7%
e 23
 
5.7%
i 23
 
5.7%
o 22
 
5.4%
l 21
 
5.2%
N 17
 
4.2%
n 16
 
3.9%
L 14
 
3.4%
r 13
 
3.2%
Other values (36) 203
50.0%
Common
ValueCountFrequency (%)
) 61
34.5%
( 61
34.5%
. 9
 
5.1%
' 7
 
4.0%
1 5
 
2.8%
, 5
 
2.8%
& 5
 
2.8%
2 4
 
2.3%
# 3
 
1.7%
: 3
 
1.7%
Other values (9) 14
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4501
88.5%
ASCII 583
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 389
 
8.6%
헤 376
 
8.4%
미 190
 
4.2%
실 125
 
2.8%
용 121
 
2.7%
이 106
 
2.4%
리 105
 
2.3%
스 102
 
2.3%
일 74
 
1.6%
네 71
 
1.6%
Other values (434) 2842
63.1%
ASCII
ValueCountFrequency (%)
) 61
 
10.5%
( 61
 
10.5%
a 31
 
5.3%
A 23
 
3.9%
e 23
 
3.9%
i 23
 
3.9%
o 22
 
3.8%
l 21
 
3.6%
N 17
 
2.9%
n 16
 
2.7%
Other values (55) 285
48.9%

영업소주소(도로명)
Text

Distinct846
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-03-15T08:27:54.282691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length22.726328
Min length16

Characters and Unicode

Total characters19681
Distinct characters242
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

Unique828 ?
Unique (%)95.6%

Sample

1st row울산광역시중구북정동길15(북정동)
2nd row울산광역시중구새즈믄해거리22(성남동)
3rd row울산광역시중구학성로233-1(학성동)
4th row울산광역시중구병영성5길49,B동101호(서동,중구빌라)
5th row울산광역시중구학성로114(옥교동)
ValueCountFrequency (%)
울산광역시중구종가5길69,1층(유곡동 3
 
0.3%
울산광역시중구번영로475,홈플러스울산점3층(복산동 3
 
0.3%
울산광역시중구화합로393-1,1층(반구동 2
 
0.2%
울산광역시중구화진4길30,1층(태화동 2
 
0.2%
울산광역시중구화합로411,1층(반구동 2
 
0.2%
울산광역시중구문화의거리27,1층(성남동 2
 
0.2%
울산광역시중구평산4길17,2층(약사동 2
 
0.2%
울산광역시중구다운6길27,1층(다운동 2
 
0.2%
울산광역시중구강북로105,4층405호(성남동,롯데캐슬스카이 2
 
0.2%
울산광역시중구백양로110,2동105호(성안동 2
 
0.2%
Other values (836) 844
97.5%
2024-03-15T08:27:55.623336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1244
 
6.3%
구 1102
 
5.6%
동 999
 
5.1%
산 985
 
5.0%
) 908
 
4.6%
( 908
 
4.6%
중 893
 
4.5%
시 890
 
4.5%
울 873
 
4.4%
역 872
 
4.4%
Other values (232) 10007
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13258
67.4%
Decimal Number 3707
 
18.8%
Close Punctuation 908
 
4.6%
Open Punctuation 908
 
4.6%
Other Punctuation 774
 
3.9%
Dash Punctuation 91
 
0.5%
Uppercase Letter 29
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1102
 
8.3%
동 999
 
7.5%
산 985
 
7.4%
중 893
 
6.7%
시 890
 
6.7%
울 873
 
6.6%
역 872
 
6.6%
광 866
 
6.5%
층 609
 
4.6%
길 564
 
4.3%
Other values (198) 4605
34.7%
Uppercase Letter
ValueCountFrequency (%)
B 9
31.0%
A 4
13.8%
K 2
 
6.9%
C 2
 
6.9%
M 2
 
6.9%
R 1
 
3.4%
T 1
 
3.4%
S 1
 
3.4%
O 1
 
3.4%
I 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
1 1244
33.6%
2 593
16.0%
3 325
 
8.8%
0 304
 
8.2%
4 279
 
7.5%
5 264
 
7.1%
6 214
 
5.8%
7 185
 
5.0%
9 151
 
4.1%
8 148
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 772
99.7%
/ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 908
100.0%
Open Punctuation
ValueCountFrequency (%)
( 908
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13258
67.4%
Common 6392
32.5%
Latin 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1102
 
8.3%
동 999
 
7.5%
산 985
 
7.4%
중 893
 
6.7%
시 890
 
6.7%
울 873
 
6.6%
역 872
 
6.6%
광 866
 
6.5%
층 609
 
4.6%
길 564
 
4.3%
Other values (198) 4605
34.7%
Common
ValueCountFrequency (%)
1 1244
19.5%
) 908
14.2%
( 908
14.2%
, 772
12.1%
2 593
9.3%
3 325
 
5.1%
0 304
 
4.8%
4 279
 
4.4%
5 264
 
4.1%
6 214
 
3.3%
Other values (7) 581
9.1%
Latin
ValueCountFrequency (%)
B 9
29.0%
A 4
12.9%
K 2
 
6.5%
C 2
 
6.5%
M 2
 
6.5%
R 1
 
3.2%
T 1
 
3.2%
e 1
 
3.2%
S 1
 
3.2%
O 1
 
3.2%
Other values (7) 7
22.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13258
67.4%
ASCII 6422
32.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1244
19.4%
) 908
14.1%
( 908
14.1%
, 772
12.0%
2 593
9.2%
3 325
 
5.1%
0 304
 
4.7%
4 279
 
4.3%
5 264
 
4.1%
6 214
 
3.3%
Other values (23) 611
9.5%
Hangul
ValueCountFrequency (%)
구 1102
 
8.3%
동 999
 
7.5%
산 985
 
7.4%
중 893
 
6.7%
시 890
 
6.7%
울 873
 
6.6%
역 872
 
6.6%
광 866
 
6.5%
층 609
 
4.6%
길 564
 
4.3%
Other values (198) 4605
34.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업소주소(지번)
Text

Distinct804
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-03-15T08:27:56.525795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length16.777136
Min length12

Characters and Unicode

Total characters14529
Distinct characters184
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)87.4%

Sample

1st row울산광역시중구북정동95
2nd row울산광역시중구성남동86-4
3rd row울산광역시중구학성동291-1
4th row울산광역시중구서동58-7중구빌라
5th row울산광역시중구옥교동124-3
ValueCountFrequency (%)
울산광역시중구성남동219-119 8
 
0.9%
울산광역시중구우정동512-5우정혁신타워 4
 
0.5%
울산광역시중구성남동230-3 3
 
0.3%
울산광역시중구유곡동480-4 3
 
0.3%
울산광역시중구성남동255-1롯데캐슬스카이 3
 
0.3%
울산광역시중구복산동100홈플러스울산점 3
 
0.3%
울산광역시중구유곡동477-1 3
 
0.3%
울산광역시중구남외동411-9 3
 
0.3%
울산광역시중구서동39-3 3
 
0.3%
울산광역시중구학산동16-3 2
 
0.2%
Other values (794) 831
96.0%
2024-03-15T08:27:57.894234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1008
 
6.9%
산 954
 
6.6%
동 907
 
6.2%
1 893
 
6.1%
시 874
 
6.0%
울 873
 
6.0%
중 867
 
6.0%
광 866
 
6.0%
역 866
 
6.0%
- 799
 
5.5%
Other values (174) 5622
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9624
66.2%
Decimal Number 3951
27.2%
Dash Punctuation 799
 
5.5%
Close Punctuation 60
 
0.4%
Open Punctuation 60
 
0.4%
Uppercase Letter 19
 
0.1%
Other Punctuation 14
 
0.1%
Letter Number 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1008
10.5%
산 954
9.9%
동 907
9.4%
시 874
9.1%
울 873
9.1%
중 867
9.0%
광 866
9.0%
역 866
9.0%
성 200
 
2.1%
남 182
 
1.9%
Other values (143) 2027
21.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
10.5%
B 2
10.5%
M 2
10.5%
C 2
10.5%
K 2
10.5%
O 1
 
5.3%
H 1
 
5.3%
T 1
 
5.3%
P 1
 
5.3%
R 1
 
5.3%
Other values (4) 4
21.1%
Decimal Number
ValueCountFrequency (%)
1 893
22.6%
2 468
11.8%
4 384
9.7%
5 365
9.2%
3 348
 
8.8%
0 308
 
7.8%
7 307
 
7.8%
9 302
 
7.6%
8 300
 
7.6%
6 276
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
/ 2
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 799
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9624
66.2%
Common 4884
33.6%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1008
10.5%
산 954
9.9%
동 907
9.4%
시 874
9.1%
울 873
9.1%
중 867
9.0%
광 866
9.0%
역 866
9.0%
성 200
 
2.1%
남 182
 
1.9%
Other values (143) 2027
21.1%
Latin
ValueCountFrequency (%)
A 2
 
9.5%
B 2
 
9.5%
M 2
 
9.5%
C 2
 
9.5%
K 2
 
9.5%
O 1
 
4.8%
H 1
 
4.8%
T 1
 
4.8%
P 1
 
4.8%
R 1
 
4.8%
Other values (6) 6
28.6%
Common
ValueCountFrequency (%)
1 893
18.3%
- 799
16.4%
2 468
9.6%
4 384
7.9%
5 365
7.5%
3 348
 
7.1%
0 308
 
6.3%
7 307
 
6.3%
9 302
 
6.2%
8 300
 
6.1%
Other values (5) 410
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9624
66.2%
ASCII 4904
33.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1008
10.5%
산 954
9.9%
동 907
9.4%
시 874
9.1%
울 873
9.1%
중 867
9.0%
광 866
9.0%
역 866
9.0%
성 200
 
2.1%
남 182
 
1.9%
Other values (143) 2027
21.1%
ASCII
ValueCountFrequency (%)
1 893
18.2%
- 799
16.3%
2 468
9.5%
4 384
7.8%
5 365
7.4%
3 348
 
7.1%
0 308
 
6.3%
7 307
 
6.3%
9 302
 
6.2%
8 300
 
6.1%
Other values (20) 430
8.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화
Text

MISSING 

Distinct452
Distinct (%)99.8%
Missing413
Missing (%)47.7%
Memory size6.9 KiB
2024-03-15T08:27:58.684788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.14128
Min length12

Characters and Unicode

Total characters5500
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

Unique451 ?
Unique (%)99.6%

Sample

1st row052-910-9577
2nd row052-211-3292
3rd row052-292-7850
4th row052-244-2601
5th row052-243-3469
ValueCountFrequency (%)
052-261-0139 2
 
0.4%
052-282-6110 1
 
0.2%
052-910-9577 1
 
0.2%
052-911-1540 1
 
0.2%
052-246-2010 1
 
0.2%
052-212-0515 1
 
0.2%
052-292-5275 1
 
0.2%
052-245-4042 1
 
0.2%
052-282-3254 1
 
0.2%
052-224-7457 1
 
0.2%
Other values (442) 442
97.6%
2024-03-15T08:27:59.899406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1154
21.0%
- 906
16.5%
0 753
13.7%
5 675
12.3%
4 373
 
6.8%
9 326
 
5.9%
1 307
 
5.6%
7 269
 
4.9%
8 263
 
4.8%
3 247
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4594
83.5%
Dash Punctuation 906
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1154
25.1%
0 753
16.4%
5 675
14.7%
4 373
 
8.1%
9 326
 
7.1%
1 307
 
6.7%
7 269
 
5.9%
8 263
 
5.7%
3 247
 
5.4%
6 227
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1154
21.0%
- 906
16.5%
0 753
13.7%
5 675
12.3%
4 373
 
6.8%
9 326
 
5.9%
1 307
 
5.6%
7 269
 
4.9%
8 263
 
4.8%
3 247
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1154
21.0%
- 906
16.5%
0 753
13.7%
5 675
12.3%
4 373
 
6.8%
9 326
 
5.9%
1 307
 
5.6%
7 269
 
4.9%
8 263
 
4.8%
3 247
 
4.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-01-31
866 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 866
100.0%

Length

2024-03-15T08:28:00.184291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:28:00.354586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 866
100.0%

Missing values

2024-03-15T08:27:48.998093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:27:49.440039image/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

업종명신고일자업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일
0일반미용업1970-09-25태양머리방울산광역시중구북정동길15(북정동)울산광역시중구북정동95052-910-95772024-01-31
1일반미용업1970-05-19석미용실울산광역시중구새즈믄해거리22(성남동)울산광역시중구성남동86-4052-211-32922024-01-31
2일반미용업1972-06-14별님미용실울산광역시중구학성로233-1(학성동)울산광역시중구학성동291-1052-292-78502024-01-31
3일반미용업1973-04-27백합헤어샆울산광역시중구병영성5길49,B동101호(서동,중구빌라)울산광역시중구서동58-7중구빌라052-244-26012024-01-31
4일반미용업1977-04-15조희미용실울산광역시중구학성로114(옥교동)울산광역시중구옥교동124-3052-243-34692024-01-31
5일반미용업1977-02-12희정미용실울산광역시중구평동2길23(유곡동)울산광역시중구유곡동109-6052-246-06752024-01-31
6일반미용업1979-09-25명지미용실울산광역시중구동헌서길5(교동)울산광역시중구교동266-1052-244-55232024-01-31
7일반미용업1980-09-22은혜미용실울산광역시중구옥교7길43(학산동)울산광역시중구학산동14-19052-294-00682024-01-31
8일반미용업1981-04-21고운미용실울산광역시중구학성로95(성남동)울산광역시중구성남동16052-2437-8932024-01-31
9일반미용업1981-05-08왕비미용실울산광역시중구시원길36(우정동)울산광역시중구우정동270-10052-246-33942024-01-31
업종명신고일자업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일
856피부미용업,네일미용업,화장ㆍ분장미용업2019-01-16울산헬로뷰티네일울산광역시중구만남의거리7,2층(성남동)울산광역시중구성남동240-1<NA>2024-01-31
857피부미용업,네일미용업,화장ㆍ분장미용업2019-01-11뷰티반하다울산광역시중구시계탑거리17,3층(옥교동)울산광역시중구옥교동96-22<NA>2024-01-31
858피부미용업,네일미용업,화장ㆍ분장미용업2020-04-27속눈썹하는언니울산광역시중구젊음의2거리29,11층1102호(성남동)울산광역시중구성남동219-119<NA>2024-01-31
859피부미용업,네일미용업,화장ㆍ분장미용업2021-05-07디올뷰티울산광역시중구종가25길22,102호(장현동)울산광역시중구장현동167-3<NA>2024-01-31
860피부미용업,네일미용업,화장ㆍ분장미용업2021-07-28패디웰울산광역시중구반구로50,서원빌딩7층(반구동)울산광역시중구반구동570-2서원빌딩<NA>2024-01-31
861피부미용업,네일미용업,화장ㆍ분장미용업2022-03-17샤인드뷰티울산광역시중구종가5길69,1층(유곡동)울산광역시중구유곡동480-4<NA>2024-01-31
862피부미용업,네일미용업,화장ㆍ분장미용업2022-11-23비비드뷰티속눈썹샵울산광역시중구중앙3길11,2층(성남동)울산광역시중구성남동190-65<NA>2024-01-31
863피부미용업,네일미용업,화장ㆍ분장미용업2023-03-07골든미코울산광역시중구구교6길67,다온1층(반구동)울산광역시중구반구동24-7다온<NA>2024-01-31
864피부미용업,네일미용업,화장ㆍ분장미용업2023-08-29더웨이아이엠(ThewayIam)울산광역시중구젊음의거리30-6,2,3층(성남동)울산광역시중구성남동191-70<NA>2024-01-31
865피부미용업,네일미용업,화장ㆍ분장미용업2022-03-17샤인드뷰티울산광역시중구종가5길69,1층(유곡동)울산광역시중구유곡동480-4<NA>2024-01-31

Duplicate rows

Most frequently occurring

업종명신고일자업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일# duplicates
0일반미용업2018-09-18민디조미용실울산광역시중구백양로110,2동105호(성안동)울산광역시중구성안동512-1052-261-01392024-01-312
1피부미용업,네일미용업,화장ㆍ분장미용업2022-03-17샤인드뷰티울산광역시중구종가5길69,1층(유곡동)울산광역시중구유곡동480-4<NA>2024-01-312