Overview

Dataset statistics

Number of variables39
Number of observations150
Missing cells2575
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.8 KiB
Average record size in memory339.9 B

Variable types

Categorical13
Text6
DateTime2
Unsupported12
Numeric6

Dataset

Description외국인 관광도시 민박업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=T5Y52KF9IR800Z454LMN852430&infSeq=1

Alerts

문화체육업종명 is highly imbalanced (94.2%)Imbalance
주변환경명 is highly imbalanced (77.3%)Imbalance
인허가취소일자 has 150 (100.0%) missing valuesMissing
폐업일자 has 97 (64.7%) missing valuesMissing
소재지시설전화번호 has 145 (96.7%) missing valuesMissing
소재지면적정보 has 150 (100.0%) missing valuesMissing
도로명우편번호 has 96 (64.0%) missing valuesMissing
업태구분명정보 has 150 (100.0%) missing valuesMissing
X좌표값 has 96 (64.0%) missing valuesMissing
Y좌표값 has 96 (64.0%) missing valuesMissing
총층수 has 97 (64.7%) missing valuesMissing
영문상호주소 has 145 (96.7%) missing valuesMissing
선박제원내용 has 150 (100.0%) missing valuesMissing
기념품종류명 has 150 (100.0%) missing valuesMissing
놀이기구수내역 has 150 (100.0%) missing valuesMissing
방송시설유무 has 150 (100.0%) missing valuesMissing
발전시설유무 has 150 (100.0%) missing valuesMissing
안내소유무 has 150 (100.0%) missing valuesMissing
기획여행보험시작일자 has 150 (100.0%) missing valuesMissing
기획여행보험종료일자 has 150 (100.0%) missing valuesMissing
부대시설내역 has 150 (100.0%) missing valuesMissing
소재지지번주소 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 39 (26.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:03:06.175623
Analysis finished2023-12-10 21:03:07.173753
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct20
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
수원시
38 
고양시
35 
용인시
27 
성남시
8 
부천시
7 
Other values (15)
35 

Length

Max length4
Median length3
Mean length3.0266667
Min length3

Unique

Unique5 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 38
25.3%
고양시 35
23.3%
용인시 27
18.0%
성남시 8
 
5.3%
부천시 7
 
4.7%
시흥시 6
 
4.0%
파주시 4
 
2.7%
안양시 4
 
2.7%
평택시 3
 
2.0%
화성시 3
 
2.0%
Other values (10) 15
 
10.0%

Length

2023-12-11T06:03:07.249818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 38
25.3%
고양시 35
23.3%
용인시 27
18.0%
성남시 8
 
5.3%
부천시 7
 
4.7%
시흥시 6
 
4.0%
파주시 4
 
2.7%
안양시 4
 
2.7%
평택시 3
 
2.0%
화성시 3
 
2.0%
Other values (10) 15
 
10.0%

사업장명
Text

Distinct141
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:03:07.573161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length7.8933333
Min length2

Characters and Unicode

Total characters1184
Distinct characters237
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)88.7%

Sample

1st row스테이 대화
2nd row킨텍스 하우스
3rd row밀라노 하우스
4th row아카데미하우스
5th row살구나무
ValueCountFrequency (%)
house 19
 
8.2%
하우스 9
 
3.9%
게스트하우스 8
 
3.5%
stay 5
 
2.2%
스테이 5
 
2.2%
도시민박업 3
 
1.3%
home 3
 
1.3%
킨텍스 3
 
1.3%
guest 3
 
1.3%
tae's 2
 
0.9%
Other values (162) 171
74.0%
2023-12-11T06:03:08.079927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 96
 
8.1%
81
 
6.8%
우 51
 
4.3%
하 50
 
4.2%
o 40
 
3.4%
e 39
 
3.3%
s 35
 
3.0%
u 29
 
2.4%
이 28
 
2.4%
트 28
 
2.4%
Other values (227) 707
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
53.4%
Lowercase Letter 259
21.9%
Uppercase Letter 150
 
12.7%
Space Separator 81
 
6.8%
Decimal Number 21
 
1.8%
Other Punctuation 14
 
1.2%
Open Punctuation 12
 
1.0%
Close Punctuation 12
 
1.0%
Letter Number 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 96
 
15.2%
우 51
 
8.1%
하 50
 
7.9%
이 28
 
4.4%
트 28
 
4.4%
게 20
 
3.2%
테 16
 
2.5%
리 11
 
1.7%
로 9
 
1.4%
아 8
 
1.3%
Other values (167) 315
49.8%
Lowercase Letter
ValueCountFrequency (%)
o 40
15.4%
e 39
15.1%
s 35
13.5%
u 29
11.2%
a 22
8.5%
t 15
 
5.8%
h 14
 
5.4%
n 12
 
4.6%
y 10
 
3.9%
g 7
 
2.7%
Other values (11) 36
13.9%
Uppercase Letter
ValueCountFrequency (%)
S 23
15.3%
H 22
14.7%
E 13
8.7%
O 13
8.7%
J 10
 
6.7%
Y 8
 
5.3%
N 8
 
5.3%
T 8
 
5.3%
U 7
 
4.7%
I 6
 
4.0%
Other values (11) 32
21.3%
Decimal Number
ValueCountFrequency (%)
3 5
23.8%
0 4
19.0%
7 3
14.3%
1 2
 
9.5%
2 2
 
9.5%
5 2
 
9.5%
9 1
 
4.8%
8 1
 
4.8%
4 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
' 8
57.1%
, 3
 
21.4%
& 2
 
14.3%
: 1
 
7.1%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
53.4%
Latin 411
34.7%
Common 141
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 96
 
15.2%
우 51
 
8.1%
하 50
 
7.9%
이 28
 
4.4%
트 28
 
4.4%
게 20
 
3.2%
테 16
 
2.5%
리 11
 
1.7%
로 9
 
1.4%
아 8
 
1.3%
Other values (167) 315
49.8%
Latin
ValueCountFrequency (%)
o 40
 
9.7%
e 39
 
9.5%
s 35
 
8.5%
u 29
 
7.1%
S 23
 
5.6%
H 22
 
5.4%
a 22
 
5.4%
t 15
 
3.6%
h 14
 
3.4%
E 13
 
3.2%
Other values (33) 159
38.7%
Common
ValueCountFrequency (%)
81
57.4%
( 12
 
8.5%
) 12
 
8.5%
' 8
 
5.7%
3 5
 
3.5%
0 4
 
2.8%
, 3
 
2.1%
7 3
 
2.1%
1 2
 
1.4%
2 2
 
1.4%
Other values (7) 9
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
53.4%
ASCII 550
46.5%
Number Forms 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 96
 
15.2%
우 51
 
8.1%
하 50
 
7.9%
이 28
 
4.4%
트 28
 
4.4%
게 20
 
3.2%
테 16
 
2.5%
리 11
 
1.7%
로 9
 
1.4%
아 8
 
1.3%
Other values (167) 315
49.8%
ASCII
ValueCountFrequency (%)
81
 
14.7%
o 40
 
7.3%
e 39
 
7.1%
s 35
 
6.4%
u 29
 
5.3%
S 23
 
4.2%
H 22
 
4.0%
a 22
 
4.0%
t 15
 
2.7%
h 14
 
2.5%
Other values (49) 230
41.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

인허가일자
Date

Distinct126
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2012-05-30 00:00:00
Maximum2023-11-22 00:00:00
2023-12-11T06:03:08.209924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:08.362514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
93 
13
49 
3
 
6
2
 
2

Length

Max length4
Median length4
Mean length3.1866667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
<NA> 93
62.0%
13 49
32.7%
3 6
 
4.0%
2 2
 
1.3%

Length

2023-12-11T06:03:08.519655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:08.642762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
62.0%
13 49
32.7%
3 6
 
4.0%
2 2
 
1.3%

영업상태명
Categorical

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
49 
폐업 등
48 
운영중
44 
폐업
6 
휴업
 
2

Length

Max length4
Median length3
Mean length3.2733333
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 49
32.7%
폐업 등 48
32.0%
운영중 44
29.3%
폐업 6
 
4.0%
휴업 2
 
1.3%
휴업 등 1
 
0.7%

Length

2023-12-11T06:03:08.777546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:08.918588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
27.1%
영업중 49
24.6%
등 49
24.6%
운영중 44
22.1%
휴업 3
 
1.5%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)96.2%
Missing97
Missing (%)64.7%
Memory size1.3 KiB
Minimum2013-02-18 00:00:00
Maximum2023-11-14 00:00:00
2023-12-11T06:03:09.066782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:03:09.231404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing145
Missing (%)96.7%
Memory size1.3 KiB
2023-12-11T06:03:09.411906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.2
Min length10

Characters and Unicode

Total characters56
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

Unique5 ?
Unique (%)100.0%

Sample

1st row0319650428
2nd row0319023517
3rd row031-293-5792
4th row031-247-0358
5th row031-406-0553
ValueCountFrequency (%)
0319650428 1
20.0%
0319023517 1
20.0%
031-293-5792 1
20.0%
031-247-0358 1
20.0%
031-406-0553 1
20.0%
2023-12-11T06:03:09.787498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
17.9%
3 9
16.1%
1 6
10.7%
5 6
10.7%
- 6
10.7%
2 5
8.9%
9 4
 
7.1%
4 3
 
5.4%
7 3
 
5.4%
6 2
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
89.3%
Dash Punctuation 6
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
20.0%
3 9
18.0%
1 6
12.0%
5 6
12.0%
2 5
10.0%
9 4
 
8.0%
4 3
 
6.0%
7 3
 
6.0%
6 2
 
4.0%
8 2
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
17.9%
3 9
16.1%
1 6
10.7%
5 6
10.7%
- 6
10.7%
2 5
8.9%
9 4
 
7.1%
4 3
 
5.4%
7 3
 
5.4%
6 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
17.9%
3 9
16.1%
1 6
10.7%
5 6
10.7%
- 6
10.7%
2 5
8.9%
9 4
 
7.1%
4 3
 
5.4%
7 3
 
5.4%
6 2
 
3.6%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)88.9%
Missing96
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean14158.611
Minimum10353
Maximum18502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:09.993084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10353
5-th percentile10360.25
Q110543.5
median15249
Q316456
95-th percentile17981.75
Maximum18502
Range8149
Interquartile range (IQR)5912.5

Descriptive statistics

Standard deviation2919.9698
Coefficient of variation (CV)0.20623279
Kurtosis-1.6199639
Mean14158.611
Median Absolute Deviation (MAD)2082.5
Skewness-0.24826473
Sum764565
Variance8526223.8
MonotonicityNot monotonic
2023-12-11T06:03:10.140271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
10383 4
 
2.7%
10357 2
 
1.3%
16253 2
 
1.3%
10406 2
 
1.3%
18436 1
 
0.7%
12637 1
 
0.7%
16242 1
 
0.7%
16520 1
 
0.7%
15002 1
 
0.7%
14904 1
 
0.7%
Other values (38) 38
 
25.3%
(Missing) 96
64.0%
ValueCountFrequency (%)
10353 1
 
0.7%
10357 2
1.3%
10362 1
 
0.7%
10366 1
 
0.7%
10383 4
2.7%
10406 2
1.3%
10413 1
 
0.7%
10504 1
 
0.7%
10543 1
 
0.7%
10545 1
 
0.7%
ValueCountFrequency (%)
18502 1
0.7%
18436 1
0.7%
17985 1
0.7%
17980 1
0.7%
17765 1
0.7%
17589 1
0.7%
17074 1
0.7%
17016 1
0.7%
16865 1
0.7%
16620 1
0.7%

소재지도로명주소
Text

Distinct147
Distinct (%)98.7%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2023-12-11T06:03:10.367992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45
Mean length37.966443
Min length21

Characters and Unicode

Total characters5657
Distinct characters250
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

Unique145 ?
Unique (%)97.3%

Sample

1st row경기도 고양시 일산서구 호수로856번길 74-2, 201호 (대화동)
2nd row경기도 고양시 일산서구 중앙로 1388, 1102동 801호 (주엽동, 강선마을11단지아파트)
3rd row경기도 고양시 일산서구 호수로856번길 7-4, 2층 (대화동)
4th row경기도 고양시 일산동구 산두로229번길 44-8, 3층 (정발산동)
5th row경기도 고양시 일산동구 일산로372번길 38-10 (정발산동)
ValueCountFrequency (%)
경기도 149
 
13.3%
수원시 38
 
3.4%
고양시 35
 
3.1%
용인시 27
 
2.4%
일산서구 15
 
1.3%
팔달구 15
 
1.3%
기흥구 14
 
1.3%
일산동구 13
 
1.2%
수지구 12
 
1.1%
영통구 12
 
1.1%
Other values (537) 788
70.5%
2023-12-11T06:03:10.821627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
969
 
17.1%
동 240
 
4.2%
1 227
 
4.0%
2 193
 
3.4%
0 185
 
3.3%
, 171
 
3.0%
기 164
 
2.9%
시 158
 
2.8%
도 156
 
2.8%
경 151
 
2.7%
Other values (240) 3043
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3038
53.7%
Decimal Number 1126
 
19.9%
Space Separator 969
 
17.1%
Other Punctuation 171
 
3.0%
Open Punctuation 146
 
2.6%
Close Punctuation 146
 
2.6%
Dash Punctuation 49
 
0.9%
Uppercase Letter 11
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 240
 
7.9%
기 164
 
5.4%
시 158
 
5.2%
도 156
 
5.1%
경 151
 
5.0%
로 142
 
4.7%
구 123
 
4.0%
호 103
 
3.4%
길 78
 
2.6%
수 68
 
2.2%
Other values (215) 1655
54.5%
Decimal Number
ValueCountFrequency (%)
1 227
20.2%
2 193
17.1%
0 185
16.4%
3 112
9.9%
4 94
8.3%
6 83
 
7.4%
5 63
 
5.6%
8 60
 
5.3%
7 59
 
5.2%
9 50
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
18.2%
B 2
18.2%
L 1
9.1%
G 1
9.1%
C 1
9.1%
M 1
9.1%
D 1
9.1%
J 1
9.1%
N 1
9.1%
Space Separator
ValueCountFrequency (%)
969
100.0%
Other Punctuation
ValueCountFrequency (%)
, 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3038
53.7%
Common 2607
46.1%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 240
 
7.9%
기 164
 
5.4%
시 158
 
5.2%
도 156
 
5.1%
경 151
 
5.0%
로 142
 
4.7%
구 123
 
4.0%
호 103
 
3.4%
길 78
 
2.6%
수 68
 
2.2%
Other values (215) 1655
54.5%
Common
ValueCountFrequency (%)
969
37.2%
1 227
 
8.7%
2 193
 
7.4%
0 185
 
7.1%
, 171
 
6.6%
( 146
 
5.6%
) 146
 
5.6%
3 112
 
4.3%
4 94
 
3.6%
6 83
 
3.2%
Other values (5) 281
 
10.8%
Latin
ValueCountFrequency (%)
A 2
16.7%
B 2
16.7%
L 1
8.3%
G 1
8.3%
C 1
8.3%
M 1
8.3%
D 1
8.3%
e 1
8.3%
J 1
8.3%
N 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3038
53.7%
ASCII 2619
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
969
37.0%
1 227
 
8.7%
2 193
 
7.4%
0 185
 
7.1%
, 171
 
6.5%
( 146
 
5.6%
) 146
 
5.6%
3 112
 
4.3%
4 94
 
3.6%
6 83
 
3.2%
Other values (15) 293
 
11.2%
Hangul
ValueCountFrequency (%)
동 240
 
7.9%
기 164
 
5.4%
시 158
 
5.2%
도 156
 
5.1%
경 151
 
5.0%
로 142
 
4.7%
구 123
 
4.0%
호 103
 
3.4%
길 78
 
2.6%
수 68
 
2.2%
Other values (215) 1655
54.5%

소재지지번주소
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:03:11.197566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length27.3
Min length11

Characters and Unicode

Total characters4095
Distinct characters196
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

Unique150 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산서구 대화동 2254
2nd row경기도 고양시 일산서구 주엽동 73 강선마을11단지아파트
3rd row경기도 고양시 일산서구 대화동 2301-8
4th row경기도 고양시 일산동구 정발산동 1132-7
5th row경기도 고양시 일산동구 정발산동 1349-3
ValueCountFrequency (%)
경기도 150
 
17.1%
수원시 38
 
4.3%
고양시 35
 
4.0%
용인시 27
 
3.1%
팔달구 15
 
1.7%
일산서구 15
 
1.7%
기흥구 14
 
1.6%
일산동구 13
 
1.5%
영통구 12
 
1.4%
수지구 12
 
1.4%
Other values (383) 545
62.2%
2023-12-11T06:03:11.665100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
773
 
18.9%
동 211
 
5.2%
1 175
 
4.3%
기 165
 
4.0%
시 158
 
3.9%
도 152
 
3.7%
경 150
 
3.7%
2 132
 
3.2%
0 121
 
3.0%
구 119
 
2.9%
Other values (186) 1939
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2343
57.2%
Decimal Number 880
 
21.5%
Space Separator 773
 
18.9%
Dash Punctuation 85
 
2.1%
Uppercase Letter 11
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 211
 
9.0%
기 165
 
7.0%
시 158
 
6.7%
도 152
 
6.5%
경 150
 
6.4%
구 119
 
5.1%
지 118
 
5.0%
번 89
 
3.8%
호 61
 
2.6%
수 58
 
2.5%
Other values (162) 1062
45.3%
Decimal Number
ValueCountFrequency (%)
1 175
19.9%
2 132
15.0%
0 121
13.8%
3 84
9.5%
5 76
8.6%
4 73
8.3%
6 62
 
7.0%
7 58
 
6.6%
8 58
 
6.6%
9 41
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
18.2%
G 2
18.2%
A 1
9.1%
J 1
9.1%
N 1
9.1%
C 1
9.1%
M 1
9.1%
D 1
9.1%
B 1
9.1%
Space Separator
ValueCountFrequency (%)
773
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2343
57.2%
Common 1740
42.5%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 211
 
9.0%
기 165
 
7.0%
시 158
 
6.7%
도 152
 
6.5%
경 150
 
6.4%
구 119
 
5.1%
지 118
 
5.0%
번 89
 
3.8%
호 61
 
2.6%
수 58
 
2.5%
Other values (162) 1062
45.3%
Common
ValueCountFrequency (%)
773
44.4%
1 175
 
10.1%
2 132
 
7.6%
0 121
 
7.0%
- 85
 
4.9%
3 84
 
4.8%
5 76
 
4.4%
4 73
 
4.2%
6 62
 
3.6%
7 58
 
3.3%
Other values (4) 101
 
5.8%
Latin
ValueCountFrequency (%)
L 2
16.7%
G 2
16.7%
A 1
8.3%
J 1
8.3%
N 1
8.3%
e 1
8.3%
C 1
8.3%
M 1
8.3%
D 1
8.3%
B 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2343
57.2%
ASCII 1752
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
773
44.1%
1 175
 
10.0%
2 132
 
7.5%
0 121
 
6.9%
- 85
 
4.9%
3 84
 
4.8%
5 76
 
4.3%
4 73
 
4.2%
6 62
 
3.5%
7 58
 
3.3%
Other values (14) 113
 
6.4%
Hangul
ValueCountFrequency (%)
동 211
 
9.0%
기 165
 
7.0%
시 158
 
6.7%
도 152
 
6.5%
경 150
 
6.4%
구 119
 
5.1%
지 118
 
5.0%
번 89
 
3.8%
호 61
 
2.6%
수 58
 
2.5%
Other values (162) 1062
45.3%

소재지우편번호
Text

Distinct131
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T06:03:12.038835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3066667
Min length5

Characters and Unicode

Total characters796
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

Unique117 ?
Unique (%)78.0%

Sample

1st row10383
2nd row10366
3rd row10383
4th row10357
5th row10406
ValueCountFrequency (%)
10383 6
 
4.0%
10357 3
 
2.0%
16255 2
 
1.3%
14904 2
 
1.3%
16518 2
 
1.3%
15002 2
 
1.3%
16520 2
 
1.3%
446904 2
 
1.3%
10838 2
 
1.3%
11357 2
 
1.3%
Other values (121) 125
83.3%
2023-12-11T06:03:12.670665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 152
19.1%
4 121
15.2%
0 94
11.8%
6 84
10.6%
3 78
9.8%
5 69
8.7%
2 59
 
7.4%
7 55
 
6.9%
8 51
 
6.4%
9 31
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 794
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 152
19.1%
4 121
15.2%
0 94
11.8%
6 84
10.6%
3 78
9.8%
5 69
8.7%
2 59
 
7.4%
7 55
 
6.9%
8 51
 
6.4%
9 31
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 152
19.1%
4 121
15.2%
0 94
11.8%
6 84
10.6%
3 78
9.8%
5 69
8.7%
2 59
 
7.4%
7 55
 
6.9%
8 51
 
6.4%
9 31
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 152
19.1%
4 121
15.2%
0 94
11.8%
6 84
10.6%
3 78
9.8%
5 69
8.7%
2 59
 
7.4%
7 55
 
6.9%
8 51
 
6.4%
9 31
 
3.9%

WGS84위도
Real number (ℝ)

Distinct144
Distinct (%)96.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.424086
Minimum36.943439
Maximum37.897741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:12.935767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943439
5-th percentile37.226627
Q137.278943
median37.334666
Q337.646923
95-th percentile37.731863
Maximum37.897741
Range0.9543017
Interquartile range (IQR)0.36798079

Descriptive statistics

Standard deviation0.19937312
Coefficient of variation (CV)0.0053274012
Kurtosis-0.68384633
Mean37.424086
Median Absolute Deviation (MAD)0.072264126
Skewness0.41843511
Sum5576.1889
Variance0.039749642
MonotonicityNot monotonic
2023-12-11T06:03:13.099358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8145983774 2
 
1.3%
37.3346659959 2
 
1.3%
37.8977408407 2
 
1.3%
37.267498478 2
 
1.3%
37.3942478015 2
 
1.3%
37.4005464519 1
 
0.7%
37.2921232249 1
 
0.7%
37.3081415598 1
 
0.7%
37.0102516734 1
 
0.7%
37.4070066849 1
 
0.7%
Other values (134) 134
89.3%
ValueCountFrequency (%)
36.9434391414 1
0.7%
36.9574720265 1
0.7%
37.0102516734 1
0.7%
37.0727200838 1
0.7%
37.1694266825 1
0.7%
37.191546025 1
0.7%
37.2025633958 1
0.7%
37.2162156907 1
0.7%
37.2422439652 1
0.7%
37.2451645246 1
0.7%
ValueCountFrequency (%)
37.8977408407 2
1.3%
37.8223190962 1
0.7%
37.8145983774 2
1.3%
37.7916402107 1
0.7%
37.7500890486 1
0.7%
37.7339000466 1
0.7%
37.7288084406 1
0.7%
37.7140252475 1
0.7%
37.6938801169 1
0.7%
37.6833165254 1
0.7%

WGS84경도
Real number (ℝ)

Distinct144
Distinct (%)96.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.96992
Minimum126.67552
Maximum127.65126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:13.258419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.67552
5-th percentile126.75103
Q1126.79338
median127.01382
Q3127.07225
95-th percentile127.14155
Maximum127.65126
Range0.97573845
Interquartile range (IQR)0.27886868

Descriptive statistics

Standard deviation0.16264115
Coefficient of variation (CV)0.0012809423
Kurtosis2.2148914
Mean126.96992
Median Absolute Deviation (MAD)0.09995399
Skewness0.64469635
Sum18918.518
Variance0.026452142
MonotonicityNot monotonic
2023-12-11T06:03:13.470118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7945571274 2
 
1.3%
127.105383707 2
 
1.3%
127.058743197 2
 
1.3%
127.0653911807 2
 
1.3%
126.8059154771 2
 
1.3%
126.9552440879 1
 
0.7%
126.8621595689 1
 
0.7%
126.8441609392 1
 
0.7%
127.2715373082 1
 
0.7%
126.9645418839 1
 
0.7%
Other values (134) 134
89.3%
ValueCountFrequency (%)
126.6755221924 1
0.7%
126.7306089102 1
0.7%
126.7472549504 1
0.7%
126.7477528449 1
0.7%
126.7478389466 1
0.7%
126.7488300068 1
0.7%
126.7499365565 1
0.7%
126.750583658 1
0.7%
126.7516979761 1
0.7%
126.7540050508 1
0.7%
ValueCountFrequency (%)
127.6512606426 1
0.7%
127.6409334519 1
0.7%
127.2715373082 1
0.7%
127.1869724361 1
0.7%
127.1581490663 1
0.7%
127.157720323 1
0.7%
127.1543338192 1
0.7%
127.1438293179 1
0.7%
127.1381325614 1
0.7%
127.1315121345 1
0.7%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)100.0%
Missing96
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean195771.94
Minimum177633.63
Maximum256684.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:13.643629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177633.63
5-th percentile177836.38
Q1180887.38
median200679.4
Q3204445.95
95-th percentile213992.19
Maximum256684.98
Range79051.35
Interquartile range (IQR)23558.576

Descriptive statistics

Standard deviation15244.125
Coefficient of variation (CV)0.077866753
Kurtosis3.169633
Mean195771.94
Median Absolute Deviation (MAD)10320.275
Skewness1.1161195
Sum10571685
Variance2.3238335 × 108
MonotonicityNot monotonic
2023-12-11T06:03:13.857409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256684.982648489 1
 
0.7%
201813.117462116 1
 
0.7%
201092.431729364 1
 
0.7%
202007.193090129 1
 
0.7%
202304.037593996 1
 
0.7%
201357.938696772 1
 
0.7%
205729.081154486 1
 
0.7%
181197.408884624 1
 
0.7%
180459.464098043 1
 
0.7%
187708.171117847 1
 
0.7%
Other values (44) 44
29.3%
(Missing) 96
64.0%
ValueCountFrequency (%)
177633.632454099 1
0.7%
177686.044808819 1
0.7%
177772.676039318 1
0.7%
177870.68261188 1
0.7%
178992.581297065 1
0.7%
179238.725261115 1
0.7%
179391.48537157 1
0.7%
179837.983221268 1
0.7%
180178.123632085 1
0.7%
180203.223243176 1
0.7%
ValueCountFrequency (%)
256684.982648489 1
0.7%
224095.81083874 1
0.7%
216520.3079144 1
0.7%
212630.898673092 1
0.7%
211031.998179051 1
0.7%
210661.717568777 1
0.7%
209513.90172713 1
0.7%
209306.6737987 1
0.7%
205729.081154486 1
0.7%
205343.678586271 1
0.7%

Y좌표값
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)100.0%
Missing96
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean436289.1
Minimum382433.73
Maximum488382.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:14.057274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum382433.73
5-th percentile394364.4
Q1419835.5
median427547.82
Q3462853.79
95-th percentile470787.24
Maximum488382.77
Range105949.05
Interquartile range (IQR)43018.289

Descriptive statistics

Standard deviation25343.68
Coefficient of variation (CV)0.05808919
Kurtosis-0.79760086
Mean436289.1
Median Absolute Deviation (MAD)15851.397
Skewness-0.011263724
Sum23559611
Variance6.4230213 × 108
MonotonicityNot monotonic
2023-12-11T06:03:14.245286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
423013.129399297 1
 
0.7%
420780.81478711 1
 
0.7%
419712.455432994 1
 
0.7%
420525.954165405 1
 
0.7%
420204.630754273 1
 
0.7%
420343.923418991 1
 
0.7%
418393.748679436 1
 
0.7%
431086.570127048 1
 
0.7%
437953.577809851 1
 
0.7%
421136.389846401 1
 
0.7%
Other values (44) 44
29.3%
(Missing) 96
64.0%
ValueCountFrequency (%)
382433.727482143 1
0.7%
383989.398930777 1
0.7%
389876.392310916 1
0.7%
396781.01462607 1
0.7%
407521.399318182 1
0.7%
411190.85916515 1
0.7%
417073.351926562 1
0.7%
417435.408170668 1
0.7%
417845.844262463 1
0.7%
417892.249844739 1
0.7%
ValueCountFrequency (%)
488382.773335646 1
0.7%
479136.252141703 1
0.7%
471958.189109533 1
0.7%
470156.725100166 1
0.7%
464344.182172163 1
0.7%
463703.605905685 1
0.7%
463589.58 1
0.7%
463477.447692677 1
0.7%
463301.159954052 1
0.7%
463287.833011855 1
0.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
외국인관광 도시민박업
149 
<NA>
 
1

Length

Max length11
Median length11
Mean length10.953333
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 149
99.3%
<NA> 1
 
0.7%

Length

2023-12-11T06:03:14.410677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:14.545895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 149
49.8%
도시민박업 149
49.8%
na 1
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)11.3%
Missing97
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean0.90566038
Minimum0
Maximum10
Zeros39
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T06:03:14.682129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8632493
Coefficient of variation (CV)2.0573378
Kurtosis10.230095
Mean0.90566038
Median Absolute Deviation (MAD)0
Skewness2.8304145
Sum48
Variance3.4716981
MonotonicityNot monotonic
2023-12-11T06:03:14.817586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 39
26.0%
2 6
 
4.0%
4 3
 
2.0%
3 3
 
2.0%
10 1
 
0.7%
5 1
 
0.7%
(Missing) 97
64.7%
ValueCountFrequency (%)
0 39
26.0%
2 6
 
4.0%
3 3
 
2.0%
4 3
 
2.0%
5 1
 
0.7%
10 1
 
0.7%
ValueCountFrequency (%)
10 1
 
0.7%
5 1
 
0.7%
4 3
 
2.0%
3 3
 
2.0%
2 6
 
4.0%
0 39
26.0%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
138 
주택가주변
 
7
기타
 
3
학교정화(상대)
 
1
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.04
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 138
92.0%
주택가주변 7
 
4.7%
기타 3
 
2.0%
학교정화(상대) 1
 
0.7%
아파트지역 1
 
0.7%

Length

2023-12-11T06:03:15.267978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:15.431599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
92.0%
주택가주변 7
 
4.7%
기타 3
 
2.0%
학교정화(상대 1
 
0.7%
아파트지역 1
 
0.7%

지상층수
Categorical

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
96 
0
38 
2
 
8
3
 
4
4
 
3

Length

Max length4
Median length4
Mean length2.9266667
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
<NA> 96
64.0%
0 38
 
25.3%
2 8
 
5.3%
3 4
 
2.7%
4 3
 
2.0%
10 1
 
0.7%

Length

2023-12-11T06:03:15.583695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:15.755395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
64.0%
0 38
 
25.3%
2 8
 
5.3%
3 4
 
2.7%
4 3
 
2.0%
10 1
 
0.7%

지하층수
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
96 
0
46 
1
 
8

Length

Max length4
Median length4
Mean length2.92
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 96
64.0%
0 46
30.7%
1 8
 
5.3%

Length

2023-12-11T06:03:15.925876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:16.069870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
64.0%
0 46
30.7%
1 8
 
5.3%

영문상호주소
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing145
Missing (%)96.7%
Memory size1.3 KiB
2023-12-11T06:03:16.267056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length43
Mean length41.8
Min length30

Characters and Unicode

Total characters209
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st rowURBAN HOMESTAY FOR FOREIGN TOURIST
2nd row201ho, 11-6, Suwoncheon-ro 392beon-gil, Jangan-gu, Suwon-si, Gyeonggi-do
3rd rowHome stay targeting foreigners
4th rowHome stay targeting foreigners
5th rowForeign Tourism Urban Stay-at-home Business
ValueCountFrequency (%)
home 2
 
8.0%
targeting 2
 
8.0%
foreigners 2
 
8.0%
urban 2
 
8.0%
foreign 2
 
8.0%
stay 2
 
8.0%
392beon-gil 1
 
4.0%
stay-at-home 1
 
4.0%
tourism 1
 
4.0%
gyeonggi-do 1
 
4.0%
Other values (9) 9
36.0%
2023-12-11T06:03:16.631047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
9.6%
o 15
 
7.2%
e 14
 
6.7%
n 14
 
6.7%
g 12
 
5.7%
i 10
 
4.8%
r 10
 
4.8%
s 9
 
4.3%
a 9
 
4.3%
t 8
 
3.8%
Other values (34) 88
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 126
60.3%
Uppercase Letter 41
 
19.6%
Space Separator 20
 
9.6%
Decimal Number 9
 
4.3%
Dash Punctuation 8
 
3.8%
Other Punctuation 5
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 15
11.9%
e 14
11.1%
n 14
11.1%
g 12
9.5%
i 10
7.9%
r 10
7.9%
s 9
7.1%
a 9
7.1%
t 8
 
6.3%
u 5
 
4.0%
Other values (9) 20
15.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
12.2%
R 4
9.8%
O 4
9.8%
T 4
9.8%
F 3
 
7.3%
H 3
 
7.3%
U 3
 
7.3%
N 2
 
4.9%
B 2
 
4.9%
A 2
 
4.9%
Other values (6) 9
22.0%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
0 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 167
79.9%
Common 42
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15
 
9.0%
e 14
 
8.4%
n 14
 
8.4%
g 12
 
7.2%
i 10
 
6.0%
r 10
 
6.0%
s 9
 
5.4%
a 9
 
5.4%
t 8
 
4.8%
u 5
 
3.0%
Other values (25) 61
36.5%
Common
ValueCountFrequency (%)
20
47.6%
- 8
 
19.0%
, 5
 
11.9%
1 3
 
7.1%
2 2
 
4.8%
0 1
 
2.4%
6 1
 
2.4%
3 1
 
2.4%
9 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
 
9.6%
o 15
 
7.2%
e 14
 
6.7%
n 14
 
6.7%
g 12
 
5.7%
i 10
 
4.8%
r 10
 
4.8%
s 9
 
4.3%
a 9
 
4.3%
t 8
 
3.8%
Other values (34) 88
42.1%

선박총톤수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:16.799408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:16.908122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

선박수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:17.035554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:17.152119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:17.282376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:17.401639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

좌석수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:17.547162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:17.671730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:17.789382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:17.896720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
98 
0
52 

Length

Max length4
Median length4
Mean length2.96
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 98
65.3%
0 52
34.7%

Length

2023-12-11T06:03:18.020247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:03:18.149317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
65.3%
0 52
34.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수놀이기구수내역놀이시설수방송시설유무발전시설유무안내소유무기획여행보험시작일자기획여행보험종료일자부대시설내역
0고양시스테이 대화2023-09-26<NA>13영업중<NA><NA><NA>10383경기도 고양시 일산서구 호수로856번길 74-2, 201호 (대화동)경기도 고양시 일산서구 대화동 22541038337.673439126.749937<NA>177870.682612463477.447693외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
1고양시킨텍스 하우스2023-04-14<NA>13영업중<NA><NA><NA>10366경기도 고양시 일산서구 중앙로 1388, 1102동 801호 (주엽동, 강선마을11단지아파트)경기도 고양시 일산서구 주엽동 73 강선마을11단지아파트1036637.668733126.765541<NA>179238.725261462941.223698외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
2고양시밀라노 하우스2023-06-15<NA>13영업중<NA><NA><NA>10383경기도 고양시 일산서구 호수로856번길 7-4, 2층 (대화동)경기도 고양시 일산서구 대화동 2301-81038337.671172126.747839<NA>177686.044809463225.874531외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
3고양시아카데미하우스2013-03-20<NA>13영업중<NA>0319650428<NA>10357경기도 고양시 일산동구 산두로229번길 44-8, 3층 (정발산동)경기도 고양시 일산동구 정발산동 1132-71035737.674513126.777561<NA>180308.685463589.58외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
4고양시살구나무2023-11-14<NA>13영업중<NA><NA><NA>10406경기도 고양시 일산동구 일산로372번길 38-10 (정발산동)경기도 고양시 일산동구 정발산동 1349-31040637.668515126.784241<NA>180896.962617462922.221302외국인관광 도시민박업2<NA>20<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
5고양시밤리12752023-11-14<NA>13영업중<NA><NA><NA>10406경기도 고양시 일산동구 일산로372번길 39 (정발산동)경기도 고양시 일산동구 정발산동 1275-81040637.669181126.784109<NA>180884.183245462997.495656외국인관광 도시민박업2<NA>20<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
6고양시해피하우스2023-08-24<NA>13영업중<NA><NA><NA>10545경기도 고양시 덕양구 꽃내음2길 57, 401호 (향동동)경기도 고양시 덕양구 향동동 457-4 401호1054537.603133126.891982<NA>190391.447879455649.530521외국인관광 도시민박업4주택가주변40<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
7고양시a와 b 사이2023-04-18<NA>13영업중<NA><NA><NA>10413경기도 고양시 일산동구 노루목로 99, 501동 205호 (장항동, 호수마을5단지아파트)경기도 고양시 일산동구 장항동 883 호수마을5단지아파트1041337.650794126.776793<NA>180178.123632460901.421409외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
8고양시명토탈디자인2019-12-09<NA>13영업중<NA>0319023517<NA>10362경기도 고양시 일산동구 무궁화로75번길 6-13 (정발산동)경기도 고양시 일산동구 정발산동 714-51036237.665998126.772223<NA>179837.983221462648.487718외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
9고양시켈리하우스2023-07-03<NA>13영업중<NA><NA><NA>10357경기도 고양시 일산동구 산두로261번길 2, 301호 (정발산동)경기도 고양시 일산동구 정발산동 11261035737.675516126.776587<NA>180222.68727463703.605906외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수주변환경명지상층수지하층수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수놀이기구수내역놀이시설수방송시설유무발전시설유무안내소유무기획여행보험시작일자기획여행보험종료일자부대시설내역
140파주시파리랜드2023-06-26<NA>13영업중<NA><NA><NA>10838경기도 파주시 파주읍 주라위길 60-6, 1층 102호경기도 파주시 파주읍 봉암리 519-131083837.814598126.794557<NA>181840.151869479136.252142외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
141파주시파리랜드20180511<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 파주읍 주라위길 60-6경기도 파주시 파주읍 봉암리 519-13번지1083837.814598126.794557<NA><NA><NA>외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
142파주시다솜이네 홈스테이(Da Som Family Home Stay)20150305<NA><NA>폐업 등20170113<NA><NA><NA>경기도 파주시 한빛로 70, 509동 12층 1201호 (야당동)경기도 파주시 야당동 991번지41320037.714025126.758479<NA><NA><NA>외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143파주시진하우스(JIN house)20140818<NA><NA>폐업 등20170215<NA><NA><NA>경기도 파주시 교하로 70, 312동 1401호 (교하동, 산내마을 3단지)경기도 파주시 교하동 111번지41307037.728808126.730609<NA><NA><NA>외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
144평택시HEN HOUSE2023-07-26<NA>13영업중<NA><NA><NA>17985경기도 평택시 팽성읍 안정로40번길 66-5, 하이빌 302호경기도 평택시 팽성읍 송화리 53-10 하이빌1798536.957472127.050456<NA>204421.991718383989.398931외국인관광 도시민박업3<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
145평택시아워하우스2023-09-26<NA>13영업중<NA><NA><NA>17765경기도 평택시 탄현로 226, 3층 (서정동)경기도 평택시 서정동 76-151776537.07272127.055199<NA>204838.573554396781.014626외국인관광 도시민박업0<NA>00Home stay targeting foreigners00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
146평택시험프리스 게스트 하우스2023-10-05<NA>13영업중<NA><NA><NA>17980경기도 평택시 팽성읍 두정3길 14-10, A동 104호 (라포레)경기도 평택시 팽성읍 두정리 25-4 라포레1798036.943439127.032446<NA>202817.650253382433.727482외국인관광 도시민박업0<NA>00Home stay targeting foreigners00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
147화성시온유(ON:YOU)2023-05-01<NA>13영업중<NA><NA><NA>18436경기도 화성시 동탄공원로1길 16-18, 201호 (반송동)경기도 화성시 반송동 67-11843637.202563127.060986<NA>205343.678586411190.859165외국인관광 도시민박업0<NA>00Foreign Tourism Urban Stay-at-home Business00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
148화성시윤솔하우스2023-02-27<NA>13영업중<NA><NA><NA>18502경기도 화성시 동탄순환대로14길 82-16, 3층 301호 (산척동)경기도 화성시 산척동 828-31850237.169427127.120753<NA>210661.717569407521.399318외국인관광 도시민박업0<NA>00<NA>00<NA>00<NA>0<NA>0<NA><NA><NA><NA><NA><NA>
149화성시Penthouse20160323<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 봉담읍 동화길 82, 107동 2401호 (동화마을동일하이빌아파트)경기도 화성시 봉담읍 동화리 575번지 동일하이빌아파트 107동 2401호1831737.216216126.955783<NA><NA><NA>외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>