Overview

Dataset statistics

Number of variables8
Number of observations848
Missing cells695
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.0 KiB
Average record size in memory65.2 B

Variable types

Categorical3
Text4
Numeric1

Dataset

Description경기도 안산시 숙박업소 현황입니다업종, 업소명, 주소(도로명, 지번), 전화번호, 객실등의 데이터를 포함하고 있습니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15127402/fileData.do

Alerts

시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 695 (82.0%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:58:08.132002
Analysis finished2024-04-06 08:58:09.707957
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
안산시
848 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 848
100.0%

Length

2024-04-06T17:58:09.832843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:10.090363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안산시 848
100.0%

업종
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
기타(농어촌민박)
683 
일반숙박업
165 

Length

Max length9
Median length9
Mean length8.2216981
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타(농어촌민박) 683
80.5%
일반숙박업 165
 
19.5%

Length

2024-04-06T17:58:10.339399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:10.576516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타(농어촌민박 683
80.5%
일반숙박업 165
 
19.5%

업소명
Text

Distinct824
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-06T17:58:11.023301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length5.2747642
Min length1

Characters and Unicode

Total characters4473
Distinct characters494
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

Unique808 ?
Unique (%)95.3%

Sample

1st row호텔J(호텔제이)
2nd row블루호텔
3rd row테마파크
4th row그레이디자인호텔(GRAY DESIGN)
5th row에스티25(ST25)
ValueCountFrequency (%)
펜션 17
 
1.6%
대부도 8
 
0.8%
대부도햇살키즈풀빌라 7
 
0.7%
더 7
 
0.7%
스테이 6
 
0.6%
키즈풀빌라 5
 
0.5%
드림키즈풀빌라 5
 
0.5%
솔펜션 5
 
0.5%
블루 5
 
0.5%
모노리스 4
 
0.4%
Other values (879) 964
93.3%
2024-04-06T17:58:11.791987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
4.2%
션 154
 
3.4%
펜 141
 
3.2%
이 130
 
2.9%
스 125
 
2.8%
라 120
 
2.7%
텔 109
 
2.4%
리 78
 
1.7%
아 73
 
1.6%
모 65
 
1.5%
Other values (484) 3289
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3788
84.7%
Uppercase Letter 237
 
5.3%
Space Separator 189
 
4.2%
Decimal Number 91
 
2.0%
Lowercase Letter 69
 
1.5%
Close Punctuation 38
 
0.8%
Open Punctuation 38
 
0.8%
Other Punctuation 17
 
0.4%
Dash Punctuation 5
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
션 154
 
4.1%
펜 141
 
3.7%
이 130
 
3.4%
스 125
 
3.3%
라 120
 
3.2%
텔 109
 
2.9%
리 78
 
2.1%
아 73
 
1.9%
모 65
 
1.7%
풀 63
 
1.7%
Other values (423) 2730
72.1%
Uppercase Letter
ValueCountFrequency (%)
A 32
13.5%
B 25
 
10.5%
O 20
 
8.4%
N 16
 
6.8%
S 13
 
5.5%
E 13
 
5.5%
D 13
 
5.5%
T 13
 
5.5%
H 12
 
5.1%
C 12
 
5.1%
Other values (16) 68
28.7%
Lowercase Letter
ValueCountFrequency (%)
l 15
21.7%
a 9
13.0%
e 8
11.6%
y 6
 
8.7%
s 6
 
8.7%
u 5
 
7.2%
o 5
 
7.2%
t 4
 
5.8%
d 3
 
4.3%
h 3
 
4.3%
Other values (5) 5
 
7.2%
Decimal Number
ValueCountFrequency (%)
2 23
25.3%
1 12
13.2%
3 11
12.1%
5 11
12.1%
7 10
11.0%
9 7
 
7.7%
0 7
 
7.7%
4 5
 
5.5%
6 3
 
3.3%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 7
41.2%
, 4
23.5%
& 4
23.5%
· 1
 
5.9%
? 1
 
5.9%
Space Separator
ValueCountFrequency (%)
189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3786
84.6%
Common 378
 
8.5%
Latin 307
 
6.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
션 154
 
4.1%
펜 141
 
3.7%
이 130
 
3.4%
스 125
 
3.3%
라 120
 
3.2%
텔 109
 
2.9%
리 78
 
2.1%
아 73
 
1.9%
모 65
 
1.7%
풀 63
 
1.7%
Other values (422) 2728
72.1%
Latin
ValueCountFrequency (%)
A 32
 
10.4%
B 25
 
8.1%
O 20
 
6.5%
N 16
 
5.2%
l 15
 
4.9%
S 13
 
4.2%
E 13
 
4.2%
D 13
 
4.2%
T 13
 
4.2%
H 12
 
3.9%
Other values (32) 135
44.0%
Common
ValueCountFrequency (%)
189
50.0%
) 38
 
10.1%
( 38
 
10.1%
2 23
 
6.1%
1 12
 
3.2%
3 11
 
2.9%
5 11
 
2.9%
7 10
 
2.6%
9 7
 
1.9%
. 7
 
1.9%
Other values (9) 32
 
8.5%
Han
ValueCountFrequency (%)
情 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3786
84.6%
ASCII 683
 
15.3%
CJK 2
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
27.7%
) 38
 
5.6%
( 38
 
5.6%
A 32
 
4.7%
B 25
 
3.7%
2 23
 
3.4%
O 20
 
2.9%
N 16
 
2.3%
l 15
 
2.2%
S 13
 
1.9%
Other values (49) 274
40.1%
Hangul
ValueCountFrequency (%)
션 154
 
4.1%
펜 141
 
3.7%
이 130
 
3.4%
스 125
 
3.3%
라 120
 
3.2%
텔 109
 
2.9%
리 78
 
2.1%
아 73
 
1.9%
모 65
 
1.7%
풀 63
 
1.7%
Other values (422) 2728
72.1%
CJK
ValueCountFrequency (%)
情 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지도로명주소
Text

Distinct844
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-06T17:58:12.542892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length24.288915
Min length17

Characters and Unicode

Total characters20597
Distinct characters210
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique840 ?
Unique (%)99.1%

Sample

1st row경기도 안산시 단원구 고잔1길 45 (고잔동 539-18)
2nd row경기도 안산시 단원구 고잔1길 48 천혜빌딩 5층 (고잔동 540-3 )
3rd row경기도 안산시 단원구 고잔1길 49 6층 (고잔동 539-17 )
4th row경기도 안산시 단원구 고잔1길 49 운암프라자 5층 501호 (고잔동 539-17)
5th row경기도 안산시 단원구 고잔1길 52 4층 (고잔동 시민빌딩)
ValueCountFrequency (%)
경기도 848
18.0%
안산시 848
18.0%
단원구 791
16.8%
부흥로 167
 
3.5%
상록구 58
 
1.2%
공마루길 41
 
0.9%
고잔동 41
 
0.9%
구봉길 34
 
0.7%
원곡동 23
 
0.5%
소득길 22
 
0.5%
Other values (857) 1836
39.0%
2024-04-06T17:58:13.490707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4560
22.1%
안 898
 
4.4%
구 896
 
4.4%
산 861
 
4.2%
도 859
 
4.2%
시 857
 
4.2%
기 852
 
4.1%
경 850
 
4.1%
원 838
 
4.1%
단 791
 
3.8%
Other values (200) 8335
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11666
56.6%
Space Separator 4560
 
22.1%
Decimal Number 3453
 
16.8%
Dash Punctuation 472
 
2.3%
Close Punctuation 174
 
0.8%
Open Punctuation 174
 
0.8%
Other Punctuation 51
 
0.2%
Uppercase Letter 24
 
0.1%
Math Symbol 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 898
 
7.7%
구 896
 
7.7%
산 861
 
7.4%
도 859
 
7.4%
시 857
 
7.3%
기 852
 
7.3%
경 850
 
7.3%
원 838
 
7.2%
단 791
 
6.8%
길 558
 
4.8%
Other values (178) 3406
29.2%
Decimal Number
ValueCountFrequency (%)
1 702
20.3%
2 588
17.0%
8 345
10.0%
3 314
9.1%
7 303
8.8%
4 298
8.6%
6 260
 
7.5%
5 256
 
7.4%
0 210
 
6.1%
9 177
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
37.5%
B 9
37.5%
E 2
 
8.3%
C 2
 
8.3%
F 1
 
4.2%
D 1
 
4.2%
Space Separator
ValueCountFrequency (%)
4560
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11666
56.6%
Common 8907
43.2%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 898
 
7.7%
구 896
 
7.7%
산 861
 
7.4%
도 859
 
7.4%
시 857
 
7.3%
기 852
 
7.3%
경 850
 
7.3%
원 838
 
7.2%
단 791
 
6.8%
길 558
 
4.8%
Other values (178) 3406
29.2%
Common
ValueCountFrequency (%)
4560
51.2%
1 702
 
7.9%
2 588
 
6.6%
- 472
 
5.3%
8 345
 
3.9%
3 314
 
3.5%
7 303
 
3.4%
4 298
 
3.3%
6 260
 
2.9%
5 256
 
2.9%
Other values (6) 809
 
9.1%
Latin
ValueCountFrequency (%)
A 9
37.5%
B 9
37.5%
E 2
 
8.3%
C 2
 
8.3%
F 1
 
4.2%
D 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11666
56.6%
ASCII 8931
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4560
51.1%
1 702
 
7.9%
2 588
 
6.6%
- 472
 
5.3%
8 345
 
3.9%
3 314
 
3.5%
7 303
 
3.4%
4 298
 
3.3%
6 260
 
2.9%
5 256
 
2.9%
Other values (12) 833
 
9.3%
Hangul
ValueCountFrequency (%)
안 898
 
7.7%
구 896
 
7.7%
산 861
 
7.4%
도 859
 
7.4%
시 857
 
7.3%
기 852
 
7.3%
경 850
 
7.3%
원 838
 
7.2%
단 791
 
6.8%
길 558
 
4.8%
Other values (178) 3406
29.2%

소재지지번주소
Text

Distinct822
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-06T17:58:13.851905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length23.153302
Min length18

Characters and Unicode

Total characters19634
Distinct characters127
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

Unique801 ?
Unique (%)94.5%

Sample

1st row경기도 안산시 단원구 고잔동 539-18
2nd row경기도 안산시 단원구 고잔동 540-3 천혜빌딩 5층
3rd row경기도 안산시 단원구 고잔동 539-17 6층
4th row경기도 안산시 단원구 고잔동 539-17 운암프라자 5층 501호
5th row경기도 안산시 단원구 고잔동 540-4 시민빌딩 4층
ValueCountFrequency (%)
경기도 848
19.2%
안산시 848
19.2%
단원구 790
17.9%
대부남동 395
 
9.0%
선감동 132
 
3.0%
대부동동 84
 
1.9%
대부북동 84
 
1.9%
상록구 58
 
1.3%
고잔동 41
 
0.9%
원곡동 23
 
0.5%
Other values (913) 1109
25.1%
2024-04-06T17:58:14.574522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3733
19.0%
동 942
 
4.8%
도 853
 
4.3%
산 853
 
4.3%
안 851
 
4.3%
경 850
 
4.3%
시 850
 
4.3%
구 848
 
4.3%
기 848
 
4.3%
원 816
 
4.2%
Other values (117) 8190
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11032
56.2%
Decimal Number 4043
 
20.6%
Space Separator 3733
 
19.0%
Dash Punctuation 782
 
4.0%
Math Symbol 22
 
0.1%
Uppercase Letter 8
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 942
 
8.5%
도 853
 
7.7%
산 853
 
7.7%
안 851
 
7.7%
경 850
 
7.7%
시 850
 
7.7%
구 848
 
7.7%
기 848
 
7.7%
원 816
 
7.4%
단 790
 
7.2%
Other values (98) 2531
22.9%
Decimal Number
ValueCountFrequency (%)
1 714
17.7%
3 497
12.3%
6 483
11.9%
7 419
10.4%
5 392
9.7%
2 356
8.8%
8 345
8.5%
4 324
8.0%
9 259
 
6.4%
0 254
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
B 3
37.5%
F 1
 
12.5%
C 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3733
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 782
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11032
56.2%
Common 8594
43.8%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 942
 
8.5%
도 853
 
7.7%
산 853
 
7.7%
안 851
 
7.7%
경 850
 
7.7%
시 850
 
7.7%
구 848
 
7.7%
기 848
 
7.7%
원 816
 
7.4%
단 790
 
7.2%
Other values (98) 2531
22.9%
Common
ValueCountFrequency (%)
3733
43.4%
- 782
 
9.1%
1 714
 
8.3%
3 497
 
5.8%
6 483
 
5.6%
7 419
 
4.9%
5 392
 
4.6%
2 356
 
4.1%
8 345
 
4.0%
4 324
 
3.8%
Other values (5) 549
 
6.4%
Latin
ValueCountFrequency (%)
A 3
37.5%
B 3
37.5%
F 1
 
12.5%
C 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11032
56.2%
ASCII 8602
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3733
43.4%
- 782
 
9.1%
1 714
 
8.3%
3 497
 
5.8%
6 483
 
5.6%
7 419
 
4.9%
5 392
 
4.6%
2 356
 
4.1%
8 345
 
4.0%
4 324
 
3.8%
Other values (9) 557
 
6.5%
Hangul
ValueCountFrequency (%)
동 942
 
8.5%
도 853
 
7.7%
산 853
 
7.7%
안 851
 
7.7%
경 850
 
7.7%
시 850
 
7.7%
구 848
 
7.7%
기 848
 
7.7%
원 816
 
7.4%
단 790
 
7.2%
Other values (98) 2531
22.9%

전화번호
Text

MISSING 

Distinct151
Distinct (%)98.7%
Missing695
Missing (%)82.0%
Memory size6.8 KiB
2024-04-06T17:58:15.003991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.980392
Min length11

Characters and Unicode

Total characters1833
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

Unique150 ?
Unique (%)98.0%

Sample

1st row031-403-3345
2nd row031-402-8972
3rd row031-475-4758
4th row031-402-3888
5th row031-487-2958
ValueCountFrequency (%)
02-516-3393 3
 
2.0%
031-437-9061 1
 
0.7%
031-403-3345 1
 
0.7%
031-416-1003 1
 
0.7%
031-416-8281 1
 
0.7%
031-502-5955 1
 
0.7%
031-409-8102 1
 
0.7%
031-418-0342 1
 
0.7%
031-418-0000 1
 
0.7%
031-502-7600 1
 
0.7%
Other values (141) 141
92.2%
2024-04-06T17:58:15.714063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 306
16.7%
0 301
16.4%
1 260
14.2%
3 238
13.0%
4 201
11.0%
8 126
6.9%
2 90
 
4.9%
5 84
 
4.6%
7 78
 
4.3%
9 75
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1527
83.3%
Dash Punctuation 306
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 301
19.7%
1 260
17.0%
3 238
15.6%
4 201
13.2%
8 126
8.3%
2 90
 
5.9%
5 84
 
5.5%
7 78
 
5.1%
9 75
 
4.9%
6 74
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1833
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 306
16.7%
0 301
16.4%
1 260
14.2%
3 238
13.0%
4 201
11.0%
8 126
6.9%
2 90
 
4.9%
5 84
 
4.6%
7 78
 
4.3%
9 75
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 306
16.7%
0 301
16.4%
1 260
14.2%
3 238
13.0%
4 201
11.0%
8 126
6.9%
2 90
 
4.9%
5 84
 
4.6%
7 78
 
4.3%
9 75
 
4.1%

객실수
Real number (ℝ)

Distinct62
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.208726
Minimum1
Maximum401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-04-06T17:58:16.023283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile39.65
Maximum401
Range400
Interquartile range (IQR)4

Descriptive statistics

Standard deviation24.587555
Coefficient of variation (CV)2.4084841
Kurtosis124.76715
Mean10.208726
Median Absolute Deviation (MAD)2
Skewness9.5500003
Sum8657
Variance604.54788
MonotonicityNot monotonic
2024-04-06T17:58:16.303509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 161
19.0%
4 145
17.1%
2 142
16.7%
1 106
12.5%
5 65
7.7%
6 35
 
4.1%
7 22
 
2.6%
30 13
 
1.5%
27 11
 
1.3%
32 9
 
1.1%
Other values (52) 139
16.4%
ValueCountFrequency (%)
1 106
12.5%
2 142
16.7%
3 161
19.0%
4 145
17.1%
5 65
7.7%
6 35
 
4.1%
7 22
 
2.6%
8 7
 
0.8%
9 1
 
0.1%
10 3
 
0.4%
ValueCountFrequency (%)
401 1
0.1%
343 1
0.1%
203 1
0.1%
188 1
0.1%
175 1
0.1%
152 1
0.1%
88 1
0.1%
84 1
0.1%
70 1
0.1%
60 2
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-03-21
848 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-21
2nd row2024-03-21
3rd row2024-03-21
4th row2024-03-21
5th row2024-03-21

Common Values

ValueCountFrequency (%)
2024-03-21 848
100.0%

Length

2024-04-06T17:58:16.588564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:58:16.756962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-21 848
100.0%

Interactions

2024-04-06T17:58:08.950957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:58:16.883711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종객실수
업종1.0000.589
객실수0.5891.000
2024-04-06T17:58:17.026340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수업종
객실수1.0000.419
업종0.4191.000

Missing values

2024-04-06T17:58:09.299876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:58:09.618106image/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

시군구업종업소명소재지도로명주소소재지지번주소전화번호객실수데이터기준일자
0안산시일반숙박업호텔J(호텔제이)경기도 안산시 단원구 고잔1길 45 (고잔동 539-18)경기도 안산시 단원구 고잔동 539-18031-403-3345332024-03-21
1안산시일반숙박업블루호텔경기도 안산시 단원구 고잔1길 48 천혜빌딩 5층 (고잔동 540-3 )경기도 안산시 단원구 고잔동 540-3 천혜빌딩 5층031-402-8972252024-03-21
2안산시일반숙박업테마파크경기도 안산시 단원구 고잔1길 49 6층 (고잔동 539-17 )경기도 안산시 단원구 고잔동 539-17 6층031-475-4758312024-03-21
3안산시일반숙박업그레이디자인호텔(GRAY DESIGN)경기도 안산시 단원구 고잔1길 49 운암프라자 5층 501호 (고잔동 539-17)경기도 안산시 단원구 고잔동 539-17 운암프라자 5층 501호031-402-3888302024-03-21
4안산시일반숙박업에스티25(ST25)경기도 안산시 단원구 고잔1길 52 4층 (고잔동 시민빌딩)경기도 안산시 단원구 고잔동 540-4 시민빌딩 4층031-487-2958332024-03-21
5안산시일반숙박업안산중앙호텔야자경기도 안산시 단원구 고잔1길 53 (고잔동 539-16)경기도 안산시 단원구 고잔동 539-16031-482-3606282024-03-21
6안산시일반숙박업호텔 이화경기도 안산시 단원구 고잔1길 54 한일빌딩 401 501호 (고잔동 540-5)경기도 안산시 단원구 고잔동 540-5 한일빌딩 401호 501호031-483-3355322024-03-21
7안산시일반숙박업그랜드모텔경기도 안산시 단원구 고잔1길 54 한일빌딩 402 502호 (고잔동 540-5 )경기도 안산시 단원구 고잔동 540-5 한일빌딩 402 502호031-403-5571252024-03-21
8안산시일반숙박업호텔센스경기도 안산시 단원구 고잔1길 57 금산빌딩 6층 (고잔동)경기도 안산시 단원구 고잔동 539-15 금산빌딩031-401-6859222024-03-21
9안산시일반숙박업안산XYM경기도 안산시 단원구 고잔1길 63 (고잔동 602호 7층)경기도 안산시 단원구 고잔동 539-14 상아프라자 602호 7층031-411-7562572024-03-21
시군구업종업소명소재지도로명주소소재지지번주소전화번호객실수데이터기준일자
838안산시기타(농어촌민박)뮤지컬펜션경기도 안산시 단원구 본말길 118-3, A동경기도 안산시 단원구 선감동 153<NA>42024-03-21
839안산시기타(농어촌민박)판타루시아 A경기도 안산시 단원구 본말길 118-3, B동경기도 안산시 단원구 선감동 153<NA>32024-03-21
840안산시기타(농어촌민박)판타루시아 B경기도 안산시 단원구 서낭당길 70-29경기도 안산시 단원구 대부동동 1982-32<NA>52024-03-21
841안산시기타(농어촌민박)황금펜션경기도 안산시 단원구 집너머2길 8경기도 안산시 단원구 대부남동 1006-85<NA>12024-03-21
842안산시기타(농어촌민박)오티에르경기도 안산시 단원구 참살이1길 21경기도 안산시 단원구 선감동 704<NA>42024-03-21
843안산시기타(농어촌민박)하이베어 풀빌라경기도 안산시 단원구 부흥로 287-266경기도 안산시 단원구 대부남동 3-10<NA>52024-03-21
844안산시기타(농어촌민박)네온키즈펜션경기도 안산시 단원구 집너머길 32경기도 안산시 단원구 대부남동 736-26<NA>22024-03-21
845안산시기타(농어촌민박)밀포드경기도 안산시 단원구 부흥로216번길 12경기도 안산시 단원구 대부남동 28-169<NA>22024-03-21
846안산시기타(농어촌민박)더 조이펜션경기도 안산시 단원구 부흥로 287-36경기도 안산시 단원구 대부남동 3-447<NA>42024-03-21
847안산시기타(농어촌민박)THE NORDA 키즈풀빌라경기도 안산시 단원구 멍골1길 4-4경기도 안산시 단원구 대부남동 524-27<NA>32024-03-21