Overview

Dataset statistics

Number of variables6
Number of observations3341
Missing cells1527
Missing cells (%)7.6%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory156.7 KiB
Average record size in memory48.0 B

Variable types

Categorical2
Text4

Dataset

Description경상북도 포항시 관내 공중위생업 현황에 관한 데이터로 공중위생업 업종, 업소명, 소재지(도로명), 소재지(지번), 전화번호 등의 정보를 제공합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15107971/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
영업소 주소(도로명) has 161 (4.8%) missing valuesMissing
소재지전화 has 1366 (40.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:29:32.993624
Analysis finished2023-12-12 10:29:34.423251
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct22
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
일반미용업
710 
미용업
707 
숙박업(일반)
345 
세탁업
271 
피부미용업
263 
Other values (17)
1045 

Length

Max length23
Median length19
Mean length5.0942831
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 710
21.3%
미용업 707
21.2%
숙박업(일반) 345
10.3%
세탁업 271
 
8.1%
피부미용업 263
 
7.9%
이용업 222
 
6.6%
네일미용업 183
 
5.5%
건물위생관리업 170
 
5.1%
종합미용업 145
 
4.3%
목욕장업 100
 
3.0%
Other values (12) 225
 
6.7%

Length

2023-12-12T19:29:34.556906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 827
22.8%
일반미용업 776
21.4%
숙박업(일반 345
9.5%
피부미용업 332
9.1%
세탁업 271
 
7.5%
네일미용업 270
 
7.4%
이용업 222
 
6.1%
건물위생관리업 170
 
4.7%
종합미용업 145
 
4.0%
화장ㆍ분장 120
 
3.3%
Other values (2) 154
 
4.2%

업소명
Text

Distinct3182
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-12T19:29:35.051027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length6.0020952
Min length1

Characters and Unicode

Total characters20053
Distinct characters755
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3069 ?
Unique (%)91.9%

Sample

1st row스윗데이즈펜션
2nd row극동장여관
3rd row새서울여관
4th row코모도호텔포항송도
5th row금강장여관
ValueCountFrequency (%)
hair 32
 
0.8%
헤어 28
 
0.7%
미용실 27
 
0.7%
네일 17
 
0.4%
주식회사 13
 
0.3%
헤어살롱 11
 
0.3%
세탁소 11
 
0.3%
nail 11
 
0.3%
beauty 10
 
0.3%
모텔 10
 
0.3%
Other values (3397) 3760
95.7%
2023-12-12T19:29:35.719231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 900
 
4.5%
헤 855
 
4.3%
592
 
3.0%
이 534
 
2.7%
용 465
 
2.3%
미 452
 
2.3%
스 404
 
2.0%
소 381
 
1.9%
) 347
 
1.7%
( 345
 
1.7%
Other values (745) 14778
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16665
83.1%
Lowercase Letter 1002
 
5.0%
Uppercase Letter 815
 
4.1%
Space Separator 592
 
3.0%
Close Punctuation 347
 
1.7%
Open Punctuation 345
 
1.7%
Decimal Number 152
 
0.8%
Other Punctuation 123
 
0.6%
Dash Punctuation 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 900
 
5.4%
헤 855
 
5.1%
이 534
 
3.2%
용 465
 
2.8%
미 452
 
2.7%
스 404
 
2.4%
소 381
 
2.3%
리 330
 
2.0%
실 303
 
1.8%
일 280
 
1.7%
Other values (670) 11761
70.6%
Uppercase Letter
ValueCountFrequency (%)
A 83
 
10.2%
H 64
 
7.9%
S 56
 
6.9%
O 56
 
6.9%
L 52
 
6.4%
N 51
 
6.3%
E 48
 
5.9%
M 47
 
5.8%
I 47
 
5.8%
T 41
 
5.0%
Other values (16) 270
33.1%
Lowercase Letter
ValueCountFrequency (%)
a 129
12.9%
e 112
11.2%
i 109
10.9%
l 81
 
8.1%
o 76
 
7.6%
n 75
 
7.5%
r 70
 
7.0%
y 48
 
4.8%
t 44
 
4.4%
h 42
 
4.2%
Other values (14) 216
21.6%
Decimal Number
ValueCountFrequency (%)
1 44
28.9%
2 40
26.3%
5 12
 
7.9%
9 11
 
7.2%
3 10
 
6.6%
0 9
 
5.9%
6 9
 
5.9%
7 7
 
4.6%
8 5
 
3.3%
4 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
# 36
29.3%
& 36
29.3%
. 22
17.9%
, 19
15.4%
: 5
 
4.1%
' 3
 
2.4%
; 1
 
0.8%
! 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
= 2
40.0%
Space Separator
ValueCountFrequency (%)
592
100.0%
Close Punctuation
ValueCountFrequency (%)
) 347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16656
83.1%
Latin 1817
 
9.1%
Common 1571
 
7.8%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 900
 
5.4%
헤 855
 
5.1%
이 534
 
3.2%
용 465
 
2.8%
미 452
 
2.7%
스 404
 
2.4%
소 381
 
2.3%
리 330
 
2.0%
실 303
 
1.8%
일 280
 
1.7%
Other values (664) 11752
70.6%
Latin
ValueCountFrequency (%)
a 129
 
7.1%
e 112
 
6.2%
i 109
 
6.0%
A 83
 
4.6%
l 81
 
4.5%
o 76
 
4.2%
n 75
 
4.1%
r 70
 
3.9%
H 64
 
3.5%
S 56
 
3.1%
Other values (40) 962
52.9%
Common
ValueCountFrequency (%)
592
37.7%
) 347
22.1%
( 345
22.0%
1 44
 
2.8%
2 40
 
2.5%
# 36
 
2.3%
& 36
 
2.3%
. 22
 
1.4%
, 19
 
1.2%
5 12
 
0.8%
Other values (15) 78
 
5.0%
Han
ValueCountFrequency (%)
美 4
44.4%
愛 1
 
11.1%
感 1
 
11.1%
秀 1
 
11.1%
月 1
 
11.1%
日 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16655
83.1%
ASCII 3388
 
16.9%
CJK 9
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 900
 
5.4%
헤 855
 
5.1%
이 534
 
3.2%
용 465
 
2.8%
미 452
 
2.7%
스 404
 
2.4%
소 381
 
2.3%
리 330
 
2.0%
실 303
 
1.8%
일 280
 
1.7%
Other values (663) 11751
70.6%
ASCII
ValueCountFrequency (%)
592
17.5%
) 347
 
10.2%
( 345
 
10.2%
a 129
 
3.8%
e 112
 
3.3%
i 109
 
3.2%
A 83
 
2.4%
l 81
 
2.4%
o 76
 
2.2%
n 75
 
2.2%
Other values (65) 1439
42.5%
CJK
ValueCountFrequency (%)
美 4
44.4%
愛 1
 
11.1%
感 1
 
11.1%
秀 1
 
11.1%
月 1
 
11.1%
日 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

영업소 주소(도로명)
Text

MISSING 

Distinct3078
Distinct (%)96.8%
Missing161
Missing (%)4.8%
Memory size26.2 KiB
2023-12-12T19:29:36.100093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length56
Mean length32.376101
Min length21

Characters and Unicode

Total characters102956
Distinct characters335
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

Unique2979 ?
Unique (%)93.7%

Sample

1st row경상북도 포항시 남구 희망대로 1173-1 (송도동)
2nd row경상북도 포항시 남구 송도로 59 (송도동)
3rd row경상북도 포항시 남구 오천읍 정몽주로 555-1
4th row경상북도 포항시 남구 송도로 71, 코모도비취관광호텔 A동 (송도동)
5th row경상북도 포항시 남구 구룡포읍 구룡포길 89-3
ValueCountFrequency (%)
경상북도 3180
 
14.1%
포항시 3180
 
14.1%
북구 1629
 
7.2%
남구 1551
 
6.9%
1층 1388
 
6.2%
오천읍 347
 
1.5%
2층 259
 
1.2%
죽도동 209
 
0.9%
장성동 206
 
0.9%
양덕동 176
 
0.8%
Other values (2302) 10374
46.1%
2023-12-12T19:29:36.696052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19320
 
18.8%
1 5208
 
5.1%
북 4821
 
4.7%
도 4123
 
4.0%
상 3792
 
3.7%
포 3424
 
3.3%
구 3356
 
3.3%
항 3257
 
3.2%
시 3241
 
3.1%
경 3196
 
3.1%
Other values (325) 49218
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58713
57.0%
Space Separator 19320
 
18.8%
Decimal Number 16164
 
15.7%
Close Punctuation 2590
 
2.5%
Open Punctuation 2590
 
2.5%
Other Punctuation 2451
 
2.4%
Dash Punctuation 901
 
0.9%
Uppercase Letter 146
 
0.1%
Math Symbol 75
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 4821
 
8.2%
도 4123
 
7.0%
상 3792
 
6.5%
포 3424
 
5.8%
구 3356
 
5.7%
항 3257
 
5.5%
시 3241
 
5.5%
경 3196
 
5.4%
동 3011
 
5.1%
로 2883
 
4.9%
Other values (281) 23609
40.2%
Uppercase Letter
ValueCountFrequency (%)
A 35
24.0%
B 35
24.0%
C 15
10.3%
E 10
 
6.8%
K 9
 
6.2%
S 8
 
5.5%
W 6
 
4.1%
H 5
 
3.4%
V 4
 
2.7%
I 4
 
2.7%
Other values (11) 15
10.3%
Decimal Number
ValueCountFrequency (%)
1 5208
32.2%
2 2270
14.0%
3 1536
 
9.5%
0 1393
 
8.6%
4 1239
 
7.7%
5 1140
 
7.1%
6 1000
 
6.2%
7 882
 
5.5%
8 756
 
4.7%
9 740
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 2444
99.7%
. 4
 
0.2%
/ 2
 
0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
n 2
33.3%
y 1
16.7%
x 1
16.7%
Space Separator
ValueCountFrequency (%)
19320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 901
100.0%
Math Symbol
ValueCountFrequency (%)
~ 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58713
57.0%
Common 44091
42.8%
Latin 152
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 4821
 
8.2%
도 4123
 
7.0%
상 3792
 
6.5%
포 3424
 
5.8%
구 3356
 
5.7%
항 3257
 
5.5%
시 3241
 
5.5%
경 3196
 
5.4%
동 3011
 
5.1%
로 2883
 
4.9%
Other values (281) 23609
40.2%
Latin
ValueCountFrequency (%)
A 35
23.0%
B 35
23.0%
C 15
9.9%
E 10
 
6.6%
K 9
 
5.9%
S 8
 
5.3%
W 6
 
3.9%
H 5
 
3.3%
V 4
 
2.6%
I 4
 
2.6%
Other values (15) 21
13.8%
Common
ValueCountFrequency (%)
19320
43.8%
1 5208
 
11.8%
) 2590
 
5.9%
( 2590
 
5.9%
, 2444
 
5.5%
2 2270
 
5.1%
3 1536
 
3.5%
0 1393
 
3.2%
4 1239
 
2.8%
5 1140
 
2.6%
Other values (9) 4361
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58713
57.0%
ASCII 44243
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19320
43.7%
1 5208
 
11.8%
) 2590
 
5.9%
( 2590
 
5.9%
, 2444
 
5.5%
2 2270
 
5.1%
3 1536
 
3.5%
0 1393
 
3.1%
4 1239
 
2.8%
5 1140
 
2.6%
Other values (34) 4513
 
10.2%
Hangul
ValueCountFrequency (%)
북 4821
 
8.2%
도 4123
 
7.0%
상 3792
 
6.5%
포 3424
 
5.8%
구 3356
 
5.7%
항 3257
 
5.5%
시 3241
 
5.5%
경 3196
 
5.4%
동 3011
 
5.1%
로 2883
 
4.9%
Other values (281) 23609
40.2%

영업소 주소(지번)
Text

Distinct3234
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-12T19:29:37.049332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length27.565998
Min length18

Characters and Unicode

Total characters92098
Distinct characters329
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

Unique3134 ?
Unique (%)93.8%

Sample

1st row경상북도 포항시 남구 송도동 254-368
2nd row경상북도 포항시 남구 송도동 437-4
3rd row경상북도 포항시 남구 오천읍 세계리 839-3
4th row경상북도 포항시 남구 송도동 311-268 외1(311-2,코모도비취관광호텔) A동
5th row경상북도 포항시 남구 구룡포읍 구룡포리 461-26
ValueCountFrequency (%)
경상북도 3341
 
16.0%
포항시 3341
 
16.0%
북구 1727
 
8.3%
남구 1614
 
7.7%
1층 1045
 
5.0%
오천읍 355
 
1.7%
죽도동 240
 
1.1%
장성동 228
 
1.1%
2층 203
 
1.0%
해도동 185
 
0.9%
Other values (3543) 8612
41.2%
2023-12-12T19:29:37.660711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20460
22.2%
북 5072
 
5.5%
1 4849
 
5.3%
도 4191
 
4.6%
상 3787
 
4.1%
구 3613
 
3.9%
포 3591
 
3.9%
항 3410
 
3.7%
시 3386
 
3.7%
경 3355
 
3.6%
Other values (319) 36384
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49548
53.8%
Space Separator 20460
22.2%
Decimal Number 17842
 
19.4%
Dash Punctuation 2748
 
3.0%
Close Punctuation 494
 
0.5%
Open Punctuation 493
 
0.5%
Other Punctuation 279
 
0.3%
Uppercase Letter 167
 
0.2%
Math Symbol 61
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 5072
 
10.2%
도 4191
 
8.5%
상 3787
 
7.6%
구 3613
 
7.3%
포 3591
 
7.2%
항 3410
 
6.9%
시 3386
 
6.8%
경 3355
 
6.8%
동 2896
 
5.8%
남 1686
 
3.4%
Other values (276) 14561
29.4%
Uppercase Letter
ValueCountFrequency (%)
B 50
29.9%
A 35
21.0%
L 21
12.6%
S 11
 
6.6%
K 10
 
6.0%
C 7
 
4.2%
E 7
 
4.2%
W 5
 
3.0%
V 4
 
2.4%
I 4
 
2.4%
Other values (10) 13
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 4849
27.2%
2 2069
11.6%
3 1860
 
10.4%
4 1542
 
8.6%
0 1536
 
8.6%
6 1506
 
8.4%
5 1431
 
8.0%
9 1074
 
6.0%
7 1066
 
6.0%
8 909
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 270
96.8%
. 4
 
1.4%
/ 4
 
1.4%
& 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
n 2
33.3%
x 1
16.7%
y 1
16.7%
Space Separator
ValueCountFrequency (%)
20460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 493
100.0%
Math Symbol
ValueCountFrequency (%)
~ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49548
53.8%
Common 42377
46.0%
Latin 173
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 5072
 
10.2%
도 4191
 
8.5%
상 3787
 
7.6%
구 3613
 
7.3%
포 3591
 
7.2%
항 3410
 
6.9%
시 3386
 
6.8%
경 3355
 
6.8%
동 2896
 
5.8%
남 1686
 
3.4%
Other values (276) 14561
29.4%
Latin
ValueCountFrequency (%)
B 50
28.9%
A 35
20.2%
L 21
12.1%
S 11
 
6.4%
K 10
 
5.8%
C 7
 
4.0%
E 7
 
4.0%
W 5
 
2.9%
V 4
 
2.3%
I 4
 
2.3%
Other values (14) 19
 
11.0%
Common
ValueCountFrequency (%)
20460
48.3%
1 4849
 
11.4%
- 2748
 
6.5%
2 2069
 
4.9%
3 1860
 
4.4%
4 1542
 
3.6%
0 1536
 
3.6%
6 1506
 
3.6%
5 1431
 
3.4%
9 1074
 
2.5%
Other values (9) 3302
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49548
53.8%
ASCII 42550
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20460
48.1%
1 4849
 
11.4%
- 2748
 
6.5%
2 2069
 
4.9%
3 1860
 
4.4%
4 1542
 
3.6%
0 1536
 
3.6%
6 1506
 
3.5%
5 1431
 
3.4%
9 1074
 
2.5%
Other values (33) 3475
 
8.2%
Hangul
ValueCountFrequency (%)
북 5072
 
10.2%
도 4191
 
8.5%
상 3787
 
7.6%
구 3613
 
7.3%
포 3591
 
7.2%
항 3410
 
6.9%
시 3386
 
6.8%
경 3355
 
6.8%
동 2896
 
5.8%
남 1686
 
3.4%
Other values (276) 14561
29.4%

소재지전화
Text

MISSING 

Distinct1951
Distinct (%)98.8%
Missing1366
Missing (%)40.9%
Memory size26.2 KiB
2023-12-12T19:29:38.067397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.994937
Min length12

Characters and Unicode

Total characters27640
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

Unique1928 ?
Unique (%)97.6%

Sample

1st row054 -256 -9997
2nd row054- 244-3321
3rd row054 -292 -2509
4th row054 -241 -1400
5th row 054- 276-3011
ValueCountFrequency (%)
054 1928
39.1%
277 51
 
1.0%
292 48
 
1.0%
272 44
 
0.9%
282 44
 
0.9%
291 43
 
0.9%
274 42
 
0.9%
42
 
0.9%
252 39
 
0.8%
275 39
 
0.8%
Other values (1935) 2612
53.0%
2023-12-12T19:29:38.673974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3950
14.3%
3941
14.3%
4 3252
11.8%
2 3247
11.7%
5 3233
11.7%
0 3123
11.3%
7 1458
 
5.3%
8 1252
 
4.5%
1 1163
 
4.2%
3 1092
 
4.0%
Other values (2) 1929
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19749
71.5%
Dash Punctuation 3950
 
14.3%
Space Separator 3941
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3252
16.5%
2 3247
16.4%
5 3233
16.4%
0 3123
15.8%
7 1458
7.4%
8 1252
 
6.3%
1 1163
 
5.9%
3 1092
 
5.5%
6 990
 
5.0%
9 939
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 3950
100.0%
Space Separator
ValueCountFrequency (%)
3941
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3950
14.3%
3941
14.3%
4 3252
11.8%
2 3247
11.7%
5 3233
11.7%
0 3123
11.3%
7 1458
 
5.3%
8 1252
 
4.5%
1 1163
 
4.2%
3 1092
 
4.0%
Other values (2) 1929
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3950
14.3%
3941
14.3%
4 3252
11.8%
2 3247
11.7%
5 3233
11.7%
0 3123
11.3%
7 1458
 
5.3%
8 1252
 
4.5%
1 1163
 
4.2%
3 1092
 
4.0%
Other values (2) 1929
7.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2022-11-10
3341 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-10
2nd row2022-11-10
3rd row2022-11-10
4th row2022-11-10
5th row2022-11-10

Common Values

ValueCountFrequency (%)
2022-11-10 3341
100.0%

Length

2023-12-12T19:29:38.841642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:39.047806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-10 3341
100.0%

Missing values

2023-12-12T19:29:34.060643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:29:34.210696image/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.
2023-12-12T19:29:34.346793image/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

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
0숙박업(일반)스윗데이즈펜션경상북도 포항시 남구 희망대로 1173-1 (송도동)경상북도 포항시 남구 송도동 254-368054 -256 -99972022-11-10
1숙박업(일반)극동장여관경상북도 포항시 남구 송도로 59 (송도동)경상북도 포항시 남구 송도동 437-4054- 244-33212022-11-10
2숙박업(일반)새서울여관경상북도 포항시 남구 오천읍 정몽주로 555-1경상북도 포항시 남구 오천읍 세계리 839-3054 -292 -25092022-11-10
3숙박업(일반)코모도호텔포항송도경상북도 포항시 남구 송도로 71, 코모도비취관광호텔 A동 (송도동)경상북도 포항시 남구 송도동 311-268 외1(311-2,코모도비취관광호텔) A동054 -241 -14002022-11-10
4숙박업(일반)금강장여관경상북도 포항시 남구 구룡포읍 구룡포길 89-3경상북도 포항시 남구 구룡포읍 구룡포리 461-26054- 276-30112022-11-10
5숙박업(일반)청림경상북도 포항시 남구 청림서길 14-1, 2~3층 (청림동)경상북도 포항시 남구 청림동 3-161 (2~3층)054- 292-55632022-11-10
6숙박업(일반)이화장경상북도 포항시 남구 송도로 53 (송도동)경상북도 포항시 남구 송도동 436-2054- 247-30692022-11-10
7숙박업(일반)영동여관경상북도 포항시 남구 구룡포읍 호미로221번길 10-5경상북도 포항시 남구 구룡포읍 구룡포리 963-200054- 276-38132022-11-10
8숙박업(일반)시드니모텔경상북도 포항시 남구 중앙로 58-1 (해도동)경상북도 포항시 남구 해도동 82-1054 -272 -00182022-11-10
9숙박업(일반)영빈장여관<NA>경상북도 포항시 남구 구룡포읍 구룡포리 460-29054- 276-27292022-11-10
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
3331일반미용업, 네일미용업, 화장ㆍ분장 미용업에이엘헤어(AL Hair)경상북도 포항시 북구 두호로 28, 1층 (두호동)경상북도 포항시 북구 두호동 1025-13<NA>2022-11-10
3332피부미용업, 네일미용업, 화장ㆍ분장 미용업달콤네일경상북도 포항시 북구 장량로140번길 8, 1층 (장성동)경상북도 포항시 북구 장성동 1421-7 1층054 -232 -90382022-11-10
3333피부미용업, 네일미용업, 화장ㆍ분장 미용업에디뷰티랩경상북도 포항시 북구 항도길 5, 1층 (학산동)경상북도 포항시 북구 학산동 148-3054 -248 -50022022-11-10
3334피부미용업, 네일미용업, 화장ㆍ분장 미용업코지네일경상북도 포항시 북구 장량로190번길 25, 1층 (양덕동)경상북도 포항시 북구 양덕동 1720<NA>2022-11-10
3335피부미용업, 네일미용업, 화장ㆍ분장 미용업올마이뷰티(ALLMYBEAUTY)경상북도 포항시 북구 서동로91번길 3, 2층 (덕산동)경상북도 포항시 북구 덕산동 113-25 ,2층<NA>2022-11-10
3336피부미용업, 네일미용업, 화장ㆍ분장 미용업daily lovely(데일리 러블리)경상북도 포항시 북구 대곡로 57, 주영빌딩 지하층 101호 (두호동)경상북도 포항시 북구 두호동 1094-2 주영빌딩<NA>2022-11-10
3337피부미용업, 네일미용업, 화장ㆍ분장 미용업쉘뷰티경상북도 포항시 북구 흥해읍 흥해로 50, 2층경상북도 포항시 북구 흥해읍 남성리 228-4<NA>2022-11-10
3338피부미용업, 네일미용업, 화장ㆍ분장 미용업오마이뷰티경상북도 포항시 북구 장량로 71, 1층 (장성동)경상북도 포항시 북구 장성동 1379-8 1<NA>2022-11-10
3339피부미용업, 네일미용업, 화장ㆍ분장 미용업언니따라경상북도 포항시 북구 흥해읍 초곡지구로 63, 102호경상북도 포항시 북구 흥해읍 초곡리 1341 102호<NA>2022-11-10
3340피부미용업, 네일미용업, 화장ㆍ분장 미용업네트네일경상북도 포항시 북구 천마로90번길 3, 1층 (양덕동)경상북도 포항시 북구 양덕동 1367 1층<NA>2022-11-10

Duplicate rows

Most frequently occurring

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자# duplicates
0미용업빈경상북도 포항시 북구 이동로 70 (득량동)경상북도 포항시 북구 득량동 303-3054- 281-69502022-11-102