Overview

Dataset statistics

Number of variables39
Number of observations82
Missing cells1074
Missing cells (%)33.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.4 KiB
Average record size in memory341.6 B

Variable types

Categorical14
Text6
DateTime2
Unsupported10
Numeric7

Alerts

문화체육업종명 is highly imbalanced (73.2%)Imbalance
인허가취소일자 has 82 (100.0%) missing valuesMissing
폐업일자 has 70 (85.4%) missing valuesMissing
소재지시설전화번호 has 62 (75.6%) missing valuesMissing
소재지면적정보 has 82 (100.0%) missing valuesMissing
도로명우편번호 has 10 (12.2%) missing valuesMissing
소재지도로명주소 has 1 (1.2%) missing valuesMissing
업태구분명정보 has 82 (100.0%) missing valuesMissing
X좌표값 has 2 (2.4%) missing valuesMissing
Y좌표값 has 2 (2.4%) missing valuesMissing
제작취급품목내용 has 82 (100.0%) missing valuesMissing
영문상호주소 has 79 (96.3%) missing valuesMissing
선박제원내용 has 82 (100.0%) missing valuesMissing
기념품종류명 has 82 (100.0%) missing valuesMissing
시설면적(㎡) has 14 (17.1%) missing valuesMissing
놀이기구수내역 has 82 (100.0%) missing valuesMissing
방송시설유무 has 82 (100.0%) missing valuesMissing
발전시설유무 has 82 (100.0%) missing valuesMissing
부대시설내역 has 82 (100.0%) missing valuesMissing
시설규모(㎡) has 14 (17.1%) missing valuesMissing
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
제작취급품목내용 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적(㎡) has 10 (12.2%) zerosZeros
시설규모(㎡) has 10 (12.2%) zerosZeros

Reproduction

Analysis started2023-12-10 22:22:06.636800
Analysis finished2023-12-10 22:22:07.120975
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct21
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
용인시
16 
양평군
13 
수원시
10 
고양시
8 
가평군
7 
Other values (16)
28 

Length

Max length4
Median length3
Mean length3.0243902
Min length3

Unique

Unique10 ?
Unique (%)12.2%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 16
19.5%
양평군 13
15.9%
수원시 10
12.2%
고양시 8
9.8%
가평군 7
8.5%
안성시 5
 
6.1%
파주시 4
 
4.9%
화성시 3
 
3.7%
김포시 2
 
2.4%
여주시 2
 
2.4%
Other values (11) 12
14.6%

Length

2023-12-11T07:22:07.178207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 16
19.5%
양평군 13
15.9%
수원시 10
12.2%
고양시 8
9.8%
가평군 7
8.5%
안성시 5
 
6.1%
파주시 4
 
4.9%
화성시 3
 
3.7%
여주시 2
 
2.4%
양주시 2
 
2.4%
Other values (11) 12
14.6%

사업장명
Text

Distinct71
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T07:22:07.409295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.695122
Min length2

Characters and Unicode

Total characters549
Distinct characters170
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)79.3%

Sample

1st row미분재
2nd row사과밭스테이
3rd row장락원
4th row가평재 -> 한옥풀빌라 가평재
5th row취옹예술회관
ValueCountFrequency (%)
정와한옥마을 4
 
3.3%
독산관광농원 4
 
3.3%
한옥마을 3
 
2.5%
황토펜션 3
 
2.5%
3
 
2.5%
한옥에서의 3
 
2.5%
하루 3
 
2.5%
한옥스테이 2
 
1.7%
고택 2
 
1.7%
가평재 2
 
1.7%
Other values (85) 91
75.8%
2023-12-11T07:22:07.779183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 39
 
7.1%
38
 
6.9%
옥 35
 
6.4%
마 13
 
2.4%
을 13
 
2.4%
재 13
 
2.4%
원 11
 
2.0%
스 10
 
1.8%
서 9
 
1.6%
이 9
 
1.6%
Other values (160) 359
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
86.9%
Space Separator 38
 
6.9%
Decimal Number 10
 
1.8%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Lowercase Letter 5
 
0.9%
Dash Punctuation 4
 
0.7%
Other Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 39
 
8.2%
옥 35
 
7.3%
마 13
 
2.7%
을 13
 
2.7%
재 13
 
2.7%
원 11
 
2.3%
스 10
 
2.1%
서 9
 
1.9%
이 9
 
1.9%
체 7
 
1.5%
Other values (146) 318
66.7%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
3 3
30.0%
1 2
20.0%
8 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
h 2
40.0%
e 2
40.0%
t 1
20.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
86.7%
Common 66
 
12.0%
Latin 6
 
1.1%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 39
 
8.2%
옥 35
 
7.4%
마 13
 
2.7%
을 13
 
2.7%
재 13
 
2.7%
원 11
 
2.3%
스 10
 
2.1%
서 9
 
1.9%
이 9
 
1.9%
체 7
 
1.5%
Other values (145) 317
66.6%
Common
ValueCountFrequency (%)
38
57.6%
) 6
 
9.1%
( 6
 
9.1%
- 4
 
6.1%
2 4
 
6.1%
3 3
 
4.5%
1 2
 
3.0%
. 1
 
1.5%
> 1
 
1.5%
8 1
 
1.5%
Latin
ValueCountFrequency (%)
h 2
33.3%
e 2
33.3%
t 1
16.7%
T 1
16.7%
Han
ValueCountFrequency (%)
元 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
86.7%
ASCII 72
 
13.1%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 39
 
8.2%
옥 35
 
7.4%
마 13
 
2.7%
을 13
 
2.7%
재 13
 
2.7%
원 11
 
2.3%
스 10
 
2.1%
서 9
 
1.9%
이 9
 
1.9%
체 7
 
1.5%
Other values (145) 317
66.6%
ASCII
ValueCountFrequency (%)
38
52.8%
) 6
 
8.3%
( 6
 
8.3%
- 4
 
5.6%
2 4
 
5.6%
3 3
 
4.2%
h 2
 
2.8%
e 2
 
2.8%
1 2
 
2.8%
. 1
 
1.4%
Other values (4) 4
 
5.6%
CJK
ValueCountFrequency (%)
元 1
100.0%

인허가일자
Date

Distinct70
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2009-11-30 00:00:00
Maximum2023-11-04 00:00:00
2023-12-11T07:22:07.901184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:08.016199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
13
70 
3
12 

Length

Max length2
Median length2
Mean length1.8536585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 70
85.4%
3 12
 
14.6%

Length

2023-12-11T07:22:08.119734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:08.203785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 70
85.4%
3 12
 
14.6%

영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
영업중
70 
폐업
12 

Length

Max length3
Median length3
Mean length2.8536585
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
85.4%
폐업 12
 
14.6%

Length

2023-12-11T07:22:08.294096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:08.377054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
85.4%
폐업 12
 
14.6%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing70
Missing (%)85.4%
Memory size788.0 B
Minimum2016-03-11 00:00:00
Maximum2023-10-06 00:00:00
2023-12-11T07:22:08.453429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:08.539533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

소재지시설전화번호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing62
Missing (%)75.6%
Memory size788.0 B
2023-12-11T07:22:08.684153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.7
Min length8

Characters and Unicode

Total characters234
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

Unique15 ?
Unique (%)75.0%

Sample

1st row031-582-2751
2nd row0315847279
3rd row031-585-8649
4th row031-584-4027
5th row031-584-4027
ValueCountFrequency (%)
031-773-6300 3
15.0%
031-584-4027 2
 
10.0%
031-774-1515 1
 
5.0%
031-357-2950 1
 
5.0%
031-792-8000 1
 
5.0%
031-906-3939 1
 
5.0%
031-632-4304 1
 
5.0%
031-836-8600 1
 
5.0%
031-282-6779 1
 
5.0%
031-245-9670 1
 
5.0%
Other values (7) 7
35.0%
2023-12-11T07:22:08.984018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
15.8%
- 37
15.8%
3 35
15.0%
1 22
9.4%
7 19
8.1%
5 19
8.1%
2 18
7.7%
6 13
 
5.6%
4 13
 
5.6%
9 11
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
84.2%
Dash Punctuation 37
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
18.8%
3 35
17.8%
1 22
11.2%
7 19
9.6%
5 19
9.6%
2 18
9.1%
6 13
 
6.6%
4 13
 
6.6%
9 11
 
5.6%
8 10
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
15.8%
- 37
15.8%
3 35
15.0%
1 22
9.4%
7 19
8.1%
5 19
8.1%
2 18
7.7%
6 13
 
5.6%
4 13
 
5.6%
9 11
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
15.8%
- 37
15.8%
3 35
15.0%
1 22
9.4%
7 19
8.1%
5 19
8.1%
2 18
7.7%
6 13
 
5.6%
4 13
 
5.6%
9 11
 
4.7%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

도로명우편번호
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)72.2%
Missing10
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean14433.986
Minimum10041
Maximum18556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:09.107366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10041
5-th percentile10260
Q112441.25
median15376
Q317141.25
95-th percentile17935.25
Maximum18556
Range8515
Interquartile range (IQR)4700

Descriptive statistics

Standard deviation2824.5464
Coefficient of variation (CV)0.19568721
Kurtosis-1.5619485
Mean14433.986
Median Absolute Deviation (MAD)2702.5
Skewness-0.16725443
Sum1039247
Variance7978062.5
MonotonicityNot monotonic
2023-12-11T07:22:09.218471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10260 8
 
9.8%
17159 5
 
6.1%
17142 3
 
3.7%
16251 3
 
3.7%
12506 3
 
3.7%
18556 2
 
2.4%
12606 2
 
2.4%
16256 2
 
2.4%
11127 1
 
1.2%
12571 1
 
1.2%
Other values (42) 42
51.2%
(Missing) 10
 
12.2%
ValueCountFrequency (%)
10041 1
 
1.2%
10077 1
 
1.2%
10260 8
9.8%
10801 1
 
1.2%
10841 1
 
1.2%
11127 1
 
1.2%
11401 1
 
1.2%
11725 1
 
1.2%
12408 1
 
1.2%
12429 1
 
1.2%
ValueCountFrequency (%)
18556 2
 
2.4%
18544 1
 
1.2%
18114 1
 
1.2%
17789 1
 
1.2%
17609 1
 
1.2%
17607 1
 
1.2%
17595 1
 
1.2%
17543 1
 
1.2%
17309 1
 
1.2%
17159 5
6.1%

소재지도로명주소
Text

MISSING 

Distinct75
Distinct (%)92.6%
Missing1
Missing (%)1.2%
Memory size788.0 B
2023-12-11T07:22:09.524111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length26.518519
Min length18

Characters and Unicode

Total characters2148
Distinct characters154
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)87.7%

Sample

1st row경기도 가평군 가평읍 북한강변로 60
2nd row경기도 가평군 가평읍 용추로 256
3rd row경기도 가평군 설악면 미사리로 914
4th row경기도 가평군 상면 원흥길 76-8
5th row경기도 가평군 상면 수목원로 300
ValueCountFrequency (%)
경기도 81
 
17.9%
용인시 16
 
3.5%
양평군 13
 
2.9%
처인구 12
 
2.6%
팔달구 10
 
2.2%
수원시 10
 
2.2%
고양시 8
 
1.8%
공릉천로175번길 8
 
1.8%
사리현동 8
 
1.8%
일산동구 8
 
1.8%
Other values (210) 279
61.6%
2023-12-11T07:22:09.935185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
 
17.3%
1 89
 
4.1%
기 85
 
4.0%
도 84
 
3.9%
경 81
 
3.8%
로 63
 
2.9%
시 61
 
2.8%
길 61
 
2.8%
2 60
 
2.8%
4 53
 
2.5%
Other values (144) 1139
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
58.8%
Decimal Number 390
 
18.2%
Space Separator 372
 
17.3%
Dash Punctuation 41
 
1.9%
Close Punctuation 36
 
1.7%
Open Punctuation 36
 
1.7%
Other Punctuation 10
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 85
 
6.7%
도 84
 
6.7%
경 81
 
6.4%
로 63
 
5.0%
시 61
 
4.8%
길 61
 
4.8%
동 52
 
4.1%
번 41
 
3.2%
면 40
 
3.2%
구 35
 
2.8%
Other values (128) 659
52.2%
Decimal Number
ValueCountFrequency (%)
1 89
22.8%
2 60
15.4%
4 53
13.6%
6 36
9.2%
3 31
 
7.9%
5 31
 
7.9%
7 29
 
7.4%
0 28
 
7.2%
8 24
 
6.2%
9 9
 
2.3%
Space Separator
ValueCountFrequency (%)
372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
58.8%
Common 886
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 85
 
6.7%
도 84
 
6.7%
경 81
 
6.4%
로 63
 
5.0%
시 61
 
4.8%
길 61
 
4.8%
동 52
 
4.1%
번 41
 
3.2%
면 40
 
3.2%
구 35
 
2.8%
Other values (128) 659
52.2%
Common
ValueCountFrequency (%)
372
42.0%
1 89
 
10.0%
2 60
 
6.8%
4 53
 
6.0%
- 41
 
4.6%
) 36
 
4.1%
6 36
 
4.1%
( 36
 
4.1%
3 31
 
3.5%
5 31
 
3.5%
Other values (6) 101
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
58.8%
ASCII 886
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
42.0%
1 89
 
10.0%
2 60
 
6.8%
4 53
 
6.0%
- 41
 
4.6%
) 36
 
4.1%
6 36
 
4.1%
( 36
 
4.1%
3 31
 
3.5%
5 31
 
3.5%
Other values (6) 101
 
11.4%
Hangul
ValueCountFrequency (%)
기 85
 
6.7%
도 84
 
6.7%
경 81
 
6.4%
로 63
 
5.0%
시 61
 
4.8%
길 61
 
4.8%
동 52
 
4.1%
번 41
 
3.2%
면 40
 
3.2%
구 35
 
2.8%
Other values (128) 659
52.2%

소재지지번주소
Text

Distinct78
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T07:22:10.185038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.5
Min length15

Characters and Unicode

Total characters1845
Distinct characters137
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)91.5%

Sample

1st row경기도 가평군 가평읍 산유리 16-6
2nd row경기도 가평군 가평읍 승안리 325-1
3rd row경기도 가평군 설악면 미사리 4-1
4th row경기도 가평군 상면 원흥리 481-8
5th row경기도 가평군 상면 행현리 561번지
ValueCountFrequency (%)
경기도 82
 
19.0%
용인시 16
 
3.7%
양평군 13
 
3.0%
처인구 12
 
2.8%
수원시 10
 
2.3%
팔달구 10
 
2.3%
일산동구 8
 
1.9%
고양시 8
 
1.9%
사리현동 8
 
1.9%
가평군 7
 
1.6%
Other values (195) 257
59.6%
2023-12-11T07:22:10.751270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
 
18.9%
기 87
 
4.7%
도 86
 
4.7%
경 82
 
4.4%
- 66
 
3.6%
시 62
 
3.4%
1 58
 
3.1%
리 55
 
3.0%
동 49
 
2.7%
지 49
 
2.7%
Other values (127) 902
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1113
60.3%
Space Separator 349
 
18.9%
Decimal Number 310
 
16.8%
Dash Punctuation 66
 
3.6%
Letter Number 5
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 87
 
7.8%
도 86
 
7.7%
경 82
 
7.4%
시 62
 
5.6%
리 55
 
4.9%
동 49
 
4.4%
지 49
 
4.4%
면 40
 
3.6%
구 35
 
3.1%
번 34
 
3.1%
Other values (111) 534
48.0%
Decimal Number
ValueCountFrequency (%)
1 58
18.7%
2 47
15.2%
3 38
12.3%
4 35
11.3%
6 29
9.4%
9 24
7.7%
5 24
7.7%
7 21
 
6.8%
8 21
 
6.8%
0 13
 
4.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1113
60.3%
Common 727
39.4%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 87
 
7.8%
도 86
 
7.7%
경 82
 
7.4%
시 62
 
5.6%
리 55
 
4.9%
동 49
 
4.4%
지 49
 
4.4%
면 40
 
3.6%
구 35
 
3.1%
번 34
 
3.1%
Other values (111) 534
48.0%
Common
ValueCountFrequency (%)
349
48.0%
- 66
 
9.1%
1 58
 
8.0%
2 47
 
6.5%
3 38
 
5.2%
4 35
 
4.8%
6 29
 
4.0%
9 24
 
3.3%
5 24
 
3.3%
7 21
 
2.9%
Other values (4) 36
 
5.0%
Latin
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1113
60.3%
ASCII 727
39.4%
Number Forms 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
48.0%
- 66
 
9.1%
1 58
 
8.0%
2 47
 
6.5%
3 38
 
5.2%
4 35
 
4.8%
6 29
 
4.0%
9 24
 
3.3%
5 24
 
3.3%
7 21
 
2.9%
Other values (4) 36
 
5.0%
Hangul
ValueCountFrequency (%)
기 87
 
7.8%
도 86
 
7.7%
경 82
 
7.4%
시 62
 
5.6%
리 55
 
4.9%
동 49
 
4.4%
지 49
 
4.4%
면 40
 
3.6%
구 35
 
3.1%
번 34
 
3.1%
Other values (111) 534
48.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%

소재지우편번호
Text

Distinct61
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T07:22:10.940765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2682927
Min length5

Characters and Unicode

Total characters432
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

Unique52 ?
Unique (%)63.4%

Sample

1st row12429
2nd row477802
3rd row477-853
4th row12442
5th row477824
ValueCountFrequency (%)
10260 8
 
9.8%
17159 5
 
6.1%
12506 4
 
4.9%
16251 3
 
3.7%
413160 2
 
2.4%
12606 2
 
2.4%
17142 2
 
2.4%
16256 2
 
2.4%
476922 2
 
2.4%
12571 1
 
1.2%
Other values (51) 51
62.2%
2023-12-11T07:22:11.237115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 97
22.5%
0 52
12.0%
2 52
12.0%
6 45
10.4%
7 41
9.5%
5 40
9.3%
4 38
 
8.8%
8 26
 
6.0%
9 18
 
4.2%
3 18
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
98.8%
Dash Punctuation 5
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 97
22.7%
0 52
12.2%
2 52
12.2%
6 45
10.5%
7 41
9.6%
5 40
9.4%
4 38
 
8.9%
8 26
 
6.1%
9 18
 
4.2%
3 18
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 97
22.5%
0 52
12.0%
2 52
12.0%
6 45
10.4%
7 41
9.5%
5 40
9.3%
4 38
 
8.8%
8 26
 
6.0%
9 18
 
4.2%
3 18
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 97
22.5%
0 52
12.0%
2 52
12.0%
6 45
10.4%
7 41
9.5%
5 40
9.3%
4 38
 
8.8%
8 26
 
6.0%
9 18
 
4.2%
3 18
 
4.2%

WGS84위도
Real number (ℝ)

Distinct77
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.45046
Minimum36.914123
Maximum38.020738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:11.354775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.914123
5-th percentile37.030653
Q137.259007
median37.432196
Q337.706768
95-th percentile37.84905
Maximum38.020738
Range1.1066151
Interquartile range (IQR)0.44776057

Descriptive statistics

Standard deviation0.26294653
Coefficient of variation (CV)0.0070211828
Kurtosis-0.86137318
Mean37.45046
Median Absolute Deviation (MAD)0.20567814
Skewness0.12491366
Sum3070.9377
Variance0.069140877
MonotonicityNot monotonic
2023-12-11T07:22:11.468520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5376288945 3
 
3.7%
37.7067679 2
 
2.4%
37.2839274606 2
 
2.4%
37.5012311263 2
 
2.4%
37.1420709467 1
 
1.2%
37.5148749415 1
 
1.2%
37.237082715 1
 
1.2%
37.18433188 1
 
1.2%
37.2371002739 1
 
1.2%
37.1790049117 1
 
1.2%
Other values (67) 67
81.7%
ValueCountFrequency (%)
36.9141230419 1
1.2%
36.9443264537 1
1.2%
36.997150072 1
1.2%
37.0162269442 1
1.2%
37.0287622916 1
1.2%
37.0665671146 1
1.2%
37.1064976002 1
1.2%
37.1416711325 1
1.2%
37.1420709467 1
1.2%
37.1627099283 1
1.2%
ValueCountFrequency (%)
38.0207381833 1
1.2%
37.9488990556 1
1.2%
37.9218710025 1
1.2%
37.9216549 1
1.2%
37.8495088103 1
1.2%
37.8403254786 1
1.2%
37.816865821 1
1.2%
37.7992592 1
1.2%
37.799255995 1
1.2%
37.7546865971 1
1.2%

WGS84경도
Real number (ℝ)

Distinct77
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.15812
Minimum126.54128
Maximum127.70941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:11.604792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54128
5-th percentile126.69211
Q1127.00924
median127.22204
Q3127.38317
95-th percentile127.53788
Maximum127.70941
Range1.1681269
Interquartile range (IQR)0.37393701

Descriptive statistics

Standard deviation0.27155598
Coefficient of variation (CV)0.0021355772
Kurtosis-0.8930702
Mean127.15812
Median Absolute Deviation (MAD)0.20973897
Skewness-0.21062767
Sum10426.966
Variance0.07374265
MonotonicityNot monotonic
2023-12-11T07:22:11.745387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4950422343 3
 
3.7%
126.837486 2
 
2.4%
127.0135396593 2
 
2.4%
127.4332946169 2
 
2.4%
126.7167863071 1
 
1.2%
127.2767520893 1
 
1.2%
127.2654768489 1
 
1.2%
126.749359371 1
 
1.2%
127.2652400394 1
 
1.2%
127.2700725507 1
 
1.2%
Other values (67) 67
81.7%
ValueCountFrequency (%)
126.5412815902 1
1.2%
126.6870572 1
1.2%
126.6887597602 1
1.2%
126.689167708 1
1.2%
126.6908145213 1
1.2%
126.7167863071 1
1.2%
126.7437361036 1
1.2%
126.749359371 1
1.2%
126.754250382 1
1.2%
126.8354554 1
1.2%
ValueCountFrequency (%)
127.709408513 1
 
1.2%
127.5532901384 1
 
1.2%
127.5432911782 1
 
1.2%
127.5401169 1
 
1.2%
127.5378775395 1
 
1.2%
127.5378435919 1
 
1.2%
127.5174233442 1
 
1.2%
127.5059147001 1
 
1.2%
127.4987807 1
 
1.2%
127.4950422343 3
3.7%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

X좌표값
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)93.8%
Missing2
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean213976.18
Minimum159444.22
Maximum262663.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:11.876870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159444.22
5-th percentile172533.67
Q1199811.76
median219687.82
Q3234396.23
95-th percentile247587.07
Maximum262663.56
Range103219.35
Interquartile range (IQR)34584.465

Descriptive statistics

Standard deviation24229.814
Coefficient of variation (CV)0.11323603
Kurtosis-0.92195481
Mean213976.18
Median Absolute Deviation (MAD)18542.794
Skewness-0.2153567
Sum17118095
Variance5.8708387 × 108
MonotonicityNot monotonic
2023-12-11T07:22:11.984492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238225.445438896 3
 
3.7%
243680.743687348 3
 
3.7%
197093.833396075 2
 
2.4%
231588.344504632 1
 
1.2%
234463.249322 1
 
1.2%
216996.27656119 1
 
1.2%
222878.026202022 1
 
1.2%
203131.240789889 1
 
1.2%
223478.969345455 1
 
1.2%
223914.356603766 1
 
1.2%
Other values (65) 65
79.3%
(Missing) 2
 
2.4%
ValueCountFrequency (%)
159444.216167891 1
1.2%
172318.320156125 1
1.2%
172457.941736878 1
1.2%
172498.002075612 1
1.2%
172535.550833782 1
1.2%
174760.649546093 1
1.2%
177525.457859854 1
1.2%
177670.239407005 1
1.2%
178298.037637169 1
1.2%
185426.778334961 1
1.2%
ValueCountFrequency (%)
262663.564251316 1
 
1.2%
248720.302168825 1
 
1.2%
248003.601730627 1
 
1.2%
247750.153622122 1
 
1.2%
247578.48150275 1
 
1.2%
247576.418381478 1
 
1.2%
245531.708414169 1
 
1.2%
244687.392959381 1
 
1.2%
244023.244215 1
 
1.2%
243680.743687348 3
3.7%

Y좌표값
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)93.8%
Missing2
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean439286.89
Minimum379203.54
Maximum502354.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:12.087049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379203.54
5-th percentile391853.55
Q1417652.09
median439993.1
Q3467184.94
95-th percentile483505.08
Maximum502354.53
Range123150.99
Interquartile range (IQR)49532.85

Descriptive statistics

Standard deviation29379.362
Coefficient of variation (CV)0.066879669
Kurtosis-0.8719424
Mean439286.89
Median Absolute Deviation (MAD)24109.724
Skewness0.080440581
Sum35142951
Variance8.631469 × 108
MonotonicityNot monotonic
2023-12-11T07:22:12.192447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444419.441454311 3
 
3.7%
448482.026518048 3
 
3.7%
491009.793298498 2
 
2.4%
472379.507404948 1
 
1.2%
477815.142986 1
 
1.2%
417375.629248765 1
 
1.2%
411629.38482545 1
 
1.2%
428965.101324413 1
 
1.2%
415056.737174299 1
 
1.2%
408602.419718853 1
 
1.2%
Other values (65) 65
79.3%
(Missing) 2
 
2.4%
ValueCountFrequency (%)
379203.535353097 1
1.2%
382558.797681257 1
1.2%
388413.888017938 1
1.2%
390543.590673031 1
1.2%
391922.490574297 1
1.2%
396085.710356959 1
1.2%
400540.549721382 1
1.2%
404469.941135579 1
1.2%
404515.837448719 1
1.2%
406766.923960252 1
1.2%
ValueCountFrequency (%)
502354.529684 1
1.2%
494024.826492376 1
1.2%
491009.793298498 2
2.4%
483110.093504102 1
1.2%
481997.104015341 1
1.2%
479404.463030074 1
1.2%
477815.142986 1
1.2%
477495.543458482 1
1.2%
472515.65763393 1
1.2%
472509.11930703 1
1.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
한옥체험업
76 
한옥체험업(구)
 
5
<NA>
 
1

Length

Max length8
Median length5
Mean length5.1707317
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
한옥체험업 76
92.7%
한옥체험업(구) 5
 
6.1%
<NA> 1
 
1.2%

Length

2023-12-11T07:22:12.297334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:12.380739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한옥체험업 76
92.7%
한옥체험업(구 5
 
6.1%
na 1
 
1.2%

총층수
Categorical

Distinct5
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
1
29 
<NA>
20 
0
17 
2
14 
3
 
2

Length

Max length4
Median length1
Mean length1.7317073
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 29
35.4%
<NA> 20
24.4%
0 17
20.7%
2 14
17.1%
3 2
 
2.4%

Length

2023-12-11T07:22:12.488015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:12.575932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
35.4%
na 20
24.4%
0 17
20.7%
2 14
17.1%
3 2
 
2.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

지상층수
Categorical

Distinct5
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
1
27 
<NA>
24 
0
19 
2
11 
3
 
1

Length

Max length4
Median length1
Mean length1.8780488
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 27
32.9%
<NA> 24
29.3%
0 19
23.2%
2 11
13.4%
3 1
 
1.2%

Length

2023-12-11T07:22:12.673346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:12.786075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
32.9%
na 24
29.3%
0 19
23.2%
2 11
13.4%
3 1
 
1.2%

지하층수
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
0
41 
<NA>
39 
1
 
2

Length

Max length4
Median length1
Mean length2.4268293
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 41
50.0%
<NA> 39
47.6%
1 2
 
2.4%

Length

2023-12-11T07:22:12.893903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:12.974172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
50.0%
na 39
47.6%
1 2
 
2.4%

객실수
Categorical

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
40 
0
32 
1
 
3
2
 
3
4
 
2

Length

Max length4
Median length1
Mean length2.4634146
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
48.8%
0 32
39.0%
1 3
 
3.7%
2 3
 
3.7%
4 2
 
2.4%
3 2
 
2.4%

Length

2023-12-11T07:22:13.074614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:13.159719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
48.8%
0 32
39.0%
1 3
 
3.7%
2 3
 
3.7%
4 2
 
2.4%
3 2
 
2.4%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing79
Missing (%)96.3%
Memory size788.0 B
2023-12-11T07:22:13.272125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length44
Mean length42.333333
Min length39

Characters and Unicode

Total characters127
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowExperience Of Korea Traditional Culture
2nd rowTraditional Korean House Experience Business
3rd rowTraditional Korean House Experience Business
ValueCountFrequency (%)
traditional 3
20.0%
experience 3
20.0%
korean 2
13.3%
house 2
13.3%
business 2
13.3%
of 1
 
6.7%
korea 1
 
6.7%
culture 1
 
6.7%
2023-12-11T07:22:13.487645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 17
13.4%
12
 
9.4%
i 11
 
8.7%
n 10
 
7.9%
r 10
 
7.9%
a 9
 
7.1%
o 8
 
6.3%
s 8
 
6.3%
u 6
 
4.7%
t 4
 
3.1%
Other values (13) 32
25.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 100
78.7%
Uppercase Letter 15
 
11.8%
Space Separator 12
 
9.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17
17.0%
i 11
11.0%
n 10
10.0%
r 10
10.0%
a 9
9.0%
o 8
8.0%
s 8
8.0%
u 6
 
6.0%
t 4
 
4.0%
l 4
 
4.0%
Other values (5) 13
13.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
T 3
20.0%
K 3
20.0%
H 2
13.3%
B 2
13.3%
O 1
 
6.7%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 115
90.6%
Common 12
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17
14.8%
i 11
 
9.6%
n 10
 
8.7%
r 10
 
8.7%
a 9
 
7.8%
o 8
 
7.0%
s 8
 
7.0%
u 6
 
5.2%
t 4
 
3.5%
l 4
 
3.5%
Other values (12) 28
24.3%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 17
13.4%
12
 
9.4%
i 11
 
8.7%
n 10
 
7.9%
r 10
 
7.9%
a 9
 
7.1%
o 8
 
6.3%
s 8
 
6.3%
u 6
 
4.7%
t 4
 
3.1%
Other values (13) 32
25.2%

선박총톤수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:13.588151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:13.669171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

선박수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:13.769572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:13.872688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:13.963181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:14.044040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

좌석수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:14.123742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:14.200981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:14.298815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:14.393213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

시설면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)79.4%
Missing14
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean200.97559
Minimum0
Maximum1752
Zeros10
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:14.477328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.575
median127.655
Q3213.47
95-th percentile586.965
Maximum1752
Range1752
Interquartile range (IQR)135.895

Descriptive statistics

Standard deviation262.43125
Coefficient of variation (CV)1.3057867
Kurtosis18.423307
Mean200.97559
Median Absolute Deviation (MAD)66.085
Skewness3.7258544
Sum13666.34
Variance68870.159
MonotonicityNot monotonic
2023-12-11T07:22:14.597135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
12.2%
381.54 3
 
3.7%
187.74 2
 
2.4%
110.09 2
 
2.4%
302.67 2
 
2.4%
294.75 1
 
1.2%
61.56 1
 
1.2%
83.71 1
 
1.2%
198.74 1
 
1.2%
245.48 1
 
1.2%
Other values (44) 44
53.7%
(Missing) 14
 
17.1%
ValueCountFrequency (%)
0.0 10
12.2%
50.52 1
 
1.2%
51.44 1
 
1.2%
61.15 1
 
1.2%
61.56 1
 
1.2%
61.58 1
 
1.2%
63.1 1
 
1.2%
71.8 1
 
1.2%
79.5 1
 
1.2%
83.4 1
 
1.2%
ValueCountFrequency (%)
1752.0 1
 
1.2%
892.0 1
 
1.2%
843.0 1
 
1.2%
598.62 1
 
1.2%
565.32 1
 
1.2%
533.37 1
 
1.2%
381.54 3
3.7%
325.03 1
 
1.2%
317.4 1
 
1.2%
313.0 1
 
1.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
45 
0
37 

Length

Max length4
Median length4
Mean length2.6463415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
54.9%
0 37
45.1%

Length

2023-12-11T07:22:14.721384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:14.809424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
54.9%
0 37
45.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

시설규모(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)72.1%
Missing14
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean201.05882
Minimum0
Maximum1752
Zeros10
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T07:22:14.894333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median128
Q3213.5
95-th percentile587.1
Maximum1752
Range1752
Interquartile range (IQR)135.5

Descriptive statistics

Standard deviation262.42462
Coefficient of variation (CV)1.3052132
Kurtosis18.420455
Mean201.05882
Median Absolute Deviation (MAD)66
Skewness3.7253056
Sum13672
Variance68866.683
MonotonicityNot monotonic
2023-12-11T07:22:15.019870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 10
 
12.2%
382 3
 
3.7%
110 2
 
2.4%
303 2
 
2.4%
188 2
 
2.4%
125 2
 
2.4%
143 2
 
2.4%
62 2
 
2.4%
51 2
 
2.4%
128 2
 
2.4%
Other values (39) 39
47.6%
(Missing) 14
 
17.1%
ValueCountFrequency (%)
0 10
12.2%
51 2
 
2.4%
61 1
 
1.2%
62 2
 
2.4%
63 1
 
1.2%
72 1
 
1.2%
80 1
 
1.2%
83 1
 
1.2%
84 1
 
1.2%
87 1
 
1.2%
ValueCountFrequency (%)
1752 1
 
1.2%
892 1
 
1.2%
843 1
 
1.2%
599 1
 
1.2%
565 1
 
1.2%
533 1
 
1.2%
382 3
3.7%
325 1
 
1.2%
317 1
 
1.2%
313 1
 
1.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수제작취급품목내용지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적(㎡)놀이기구수내역놀이시설수방송시설유무발전시설유무부대시설내역시설규모(㎡)
0가평군미분재2023-04-10<NA>13영업중<NA><NA><NA>12429경기도 가평군 가평읍 북한강변로 60경기도 가평군 가평읍 산유리 16-61242937.745099127.517423<NA>245531.708414471533.039237한옥체험업1<NA>100<NA>00<NA>00<NA>083.4<NA>0<NA><NA><NA>83
1가평군사과밭스테이20121211<NA>13영업중<NA>031-582-2751<NA>12408경기도 가평군 가평읍 용추로 256경기도 가평군 가평읍 승안리 325-147780237.849509127.486042<NA>242702.813495483110.093504한옥체험업1<NA>100<NA>00<NA>00<NA>0104.61<NA>0<NA><NA><NA>105
2가평군장락원2011-07-12<NA>13영업중<NA>0315847279<NA><NA>경기도 가평군 설악면 미사리로 914경기도 가평군 설악면 미사리 4-1477-85337.727323127.55329<NA>248720.302169469439.555222한옥체험업1<NA>100Experience Of Korea Traditional Culture00<NA>00<NA>0245.74<NA>0<NA><NA><NA>246
3가평군가평재 -> 한옥풀빌라 가평재20211228<NA>13영업중<NA><NA><NA>12442경기도 가평군 상면 원흥길 76-8경기도 가평군 상면 원흥리 481-81244237.816866127.322747<NA>228317.974693479404.46303한옥체험업1<NA>101<NA>00<NA>00<NA>087.84<NA>0<NA><NA><NA>88
4가평군취옹예술회관20091229<NA>13영업중<NA>031-585-8649<NA>12448경기도 가평군 상면 수목원로 300경기도 가평군 상면 행현리 561번지47782437.753266127.359684<NA>231588.344505472379.507405한옥체험업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5가평군자연건강원20121012<NA>13영업중<NA>031-584-4027<NA>12439경기도 가평군 하면 대보간선로611번길 11경기도 가평군 하면 대보리 73-2번지47783137.799259127.391004<NA>234463.249322477815.142986한옥체험업1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>63.1<NA><NA><NA><NA><NA>63
6가평군자연건강원2012-10-12<NA>3폐업2023-10-06031-584-4027<NA><NA>경기도 가평군 조종면 대보간선로611번길 11경기도 가평군 하면 대보리 73-2번지477-83137.799256127.391147<NA>234373.889399477495.543458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시정와한옥마을20160309<NA>13영업중<NA><NA><NA>10260경기도 고양시 일산동구 공릉천로175번길 124-48 (사리현동)경기도 고양시 일산동구 사리현동 642-13번지 우정관1026037.706768126.837486<NA>185632.034472467174.591444한옥체험업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시정와한옥마을20160309<NA>13영업중<NA><NA><NA>10260경기도 고양시 일산동구 공릉천로175번길 124-78 (사리현동)경기도 고양시 일산동구 사리현동 642-47번지 예절관 Ⅱ1026037.706927126.835615<NA>185439.744011467189.504604한옥체험업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시독산관광농원20160309<NA>13영업중<NA><NA><NA>10260경기도 고양시 일산동구 공릉천로175번길 124-66 (사리현동)경기도 고양시 일산동구 사리현동 642-77번지 지혜관 Ⅱ1026037.706929126.836533<NA>185522.085755467189.187608한옥체험업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명총층수제작취급품목내용지상층수지하층수객실수영문상호주소선박총톤수선박수선박제원내용무대면적좌석수기념품종류명회의실동시수용인원수시설면적(㎡)놀이기구수내역놀이시설수방송시설유무발전시설유무부대시설내역시설규모(㎡)
72파주시한옥에서 하루를20220805<NA>13영업중<NA>031-906-3939<NA>10841경기도 파주시 문산읍 방촌로1294번길 47경기도 파주시 문산읍 내포리 7621084137.840325126.75425<NA>178298.037637481997.104015한옥체험업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA>0
73파주시파주한옥펜션20200803<NA>13영업중<NA><NA><NA>10801경기도 파주시 적성면 청송로 898-1경기도 파주시 적성면 마지리 266-31080137.948899126.907138<NA>191769.814036494024.826492한옥체험업1<NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA>79.5<NA><NA><NA><NA><NA>80
74파주시가람나무20140616<NA>13영업중<NA><NA><NA><NA><NA>경기도 파주시 송촌동 198-3번지41316037.754687126.689168<NA>172535.550834472515.657634한옥체험업2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>843.0<NA><NA><NA><NA><NA>843
75파주시한옥체험마을 살림채20130722<NA>13영업중<NA><NA><NA><NA>경기도 파주시 소라지로327번길 126-20경기도 파주시 송촌동 198-10번지41316037.754621126.68876<NA>172498.002076472509.119307한옥체험업1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>193.14<NA><NA><NA><NA><NA>193
76평택시고덕 한옥체험관20210914<NA>13영업중<NA><NA><NA>17789경기도 평택시 고덕면 고덕북로 290-8경기도 평택시 고덕면 두릉리 3031778937.066567127.016979<NA>201476.189368396085.710357한옥체험업0<NA>004<NA>00<NA>00<NA>0193.8<NA>0<NA><NA><NA>194
77포천시포천포레스트벨리20221006<NA>13영업중<NA><NA><NA>11127경기도 포천시 영중면 성장로 267경기도 포천시 영중면 성동리 33-41112738.020738127.283828<NA>224922.137843502354.529684한옥체험업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA>0
78하남시한채당한옥체험관(석천재)2020-12-29<NA>13영업중<NA>031-792-8000<NA>13029경기도 하남시 윗배알미길 138 (배알미동)경기도 하남시 배알미동 산 152-11302937.514875127.276752<NA>224191.469205446094.290805한옥체험업<NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA>127.52<NA><NA><NA><NA><NA>128
79화성시옥란재20091130<NA>13영업중<NA>031-357-2950<NA>18556경기도 화성시 서신면 영종이길 120-8경기도 화성시 서신면 용두리 95-144588237.142071126.716786<NA>174760.649546404515.837449한옥체험업0<NA>000<NA>00<NA>00<NA>0106.68<NA>0<NA><NA><NA>107
80화성시백미응서재20171201<NA>13영업중<NA>031-357-3053<NA>18556경기도 화성시 서신면 밸미길 84경기도 화성시 서신면 백미리 5641855637.141671126.690815<NA>172457.941737404469.941136한옥체험업0<NA>000<NA>00<NA>00<NA>0127.79<NA>0<NA><NA><NA>128
81화성시화성포레스트벨리2023-11-04<NA>13영업중<NA><NA><NA>18544경기도 화성시 마도면 금당길40번길 38경기도 화성시 마도면 금당리 3971854437.184332126.749359<NA>177670.239407409189.682486한옥체험업0<NA>000<NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA>0