Overview

Dataset statistics

Number of variables63
Number of observations32
Missing cells1048
Missing cells (%)52.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory554.1 B

Variable types

Numeric10
Categorical16
Text9
Unsupported27
DateTime1

Dataset

Description6270000_대구광역시_03_11_06_P_한옥체험업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085945&dataSetDetailId=DDI_0000085983&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
폐업일자 is highly imbalanced (63.4%)Imbalance
휴업종료일자 is highly imbalanced (63.4%)Imbalance
문화체육업종명 is highly imbalanced (74.8%)Imbalance
객실수 is highly imbalanced (79.9%)Imbalance
건축연면적 is highly imbalanced (79.9%)Imbalance
자본금 is highly imbalanced (70.1%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
소재지전화 has 20 (62.5%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 18 (56.2%) missing valuesMissing
도로명우편번호 has 2 (6.2%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
문화사업자구분명 has 32 (100.0%) missing valuesMissing
지역구분명 has 22 (68.8%) missing valuesMissing
주변환경명 has 28 (87.5%) missing valuesMissing
제작취급품목내용 has 32 (100.0%) missing valuesMissing
보험기관명 has 32 (100.0%) missing valuesMissing
지하층수 has 32 (100.0%) missing valuesMissing
영문상호명 has 27 (84.4%) missing valuesMissing
영문상호주소 has 27 (84.4%) missing valuesMissing
선박총톤수 has 32 (100.0%) missing valuesMissing
선박척수 has 32 (100.0%) missing valuesMissing
선박제원 has 32 (100.0%) missing valuesMissing
무대면적 has 32 (100.0%) missing valuesMissing
좌석수 has 32 (100.0%) missing valuesMissing
기념품종류 has 32 (100.0%) missing valuesMissing
회의실별동시수용인원 has 32 (100.0%) missing valuesMissing
시설면적 has 20 (62.5%) missing valuesMissing
놀이기구수내역 has 32 (100.0%) missing valuesMissing
놀이시설수 has 32 (100.0%) missing valuesMissing
방송시설유무 has 32 (100.0%) missing valuesMissing
발전시설유무 has 32 (100.0%) missing valuesMissing
의무실유무 has 32 (100.0%) missing valuesMissing
안내소유무 has 32 (100.0%) missing valuesMissing
기획여행보험시작일자 has 32 (100.0%) missing valuesMissing
기획여행보험종료일자 has 32 (100.0%) missing valuesMissing
보험시작일자 has 32 (100.0%) missing valuesMissing
보험종료일자 has 32 (100.0%) missing valuesMissing
부대시설내역 has 32 (100.0%) missing valuesMissing
시설규모 has 20 (62.5%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 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
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 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
놀이시설수 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
의무실유무 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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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

Reproduction

Analysis started2023-12-10 19:00:02.558331
Analysis finished2023-12-10 19:00:03.435837
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:03.517831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T04:00:03.714763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
한옥체험업
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한옥체험업 32
100.0%

Length

2023-12-11T04:00:03.939685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.065612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한옥체험업 32
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
03_11_06_P
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_06_P
2nd row03_11_06_P
3rd row03_11_06_P
4th row03_11_06_P
5th row03_11_06_P

Common Values

ValueCountFrequency (%)
03_11_06_P 32
100.0%

Length

2023-12-11T04:00:04.209830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.333817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_06_p 32
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3430000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:04.461889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33452500
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)42500

Descriptive statistics

Standard deviation26396.481
Coefficient of variation (CV)0.007695767
Kurtosis-0.565276
Mean3430000
Median Absolute Deviation (MAD)10000
Skewness1.0775847
Sum1.0976 × 108
Variance6.9677419 × 108
MonotonicityIncreasing
2023-12-11T04:00:04.635917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 13
40.6%
3420000 10
31.2%
3480000 4
 
12.5%
3460000 2
 
6.2%
3470000 2
 
6.2%
3450000 1
 
3.1%
ValueCountFrequency (%)
3410000 13
40.6%
3420000 10
31.2%
3450000 1
 
3.1%
3460000 2
 
6.2%
3470000 2
 
6.2%
3480000 4
 
12.5%
ValueCountFrequency (%)
3480000 4
 
12.5%
3470000 2
 
6.2%
3460000 2
 
6.2%
3450000 1
 
3.1%
3420000 10
31.2%
3410000 13
40.6%

관리번호
Text

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T04:00:04.890665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)31.2%

Sample

1st rowCDFI3261132018000001
2nd rowCDFI3261132019000001
3rd rowCDFI3261132020000001
4th rowCDFI3261132017000003
5th rowCDFI3261132017000002
ValueCountFrequency (%)
cdfi3261132013000001 3
 
9.4%
cdfi3261132019000001 3
 
9.4%
cdfi3261132018000001 2
 
6.2%
cdfi3261132019000002 2
 
6.2%
cdfi3261132011000001 2
 
6.2%
cdfi3261132015000001 2
 
6.2%
cdfi3261132014000001 2
 
6.2%
cdfi3261132014000002 2
 
6.2%
cdfi3261132016000001 2
 
6.2%
cdfi3261132020000001 2
 
6.2%
Other values (10) 10
31.2%
2023-12-11T04:00:05.338766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
30.6%
1 114
17.8%
2 82
12.8%
3 67
 
10.5%
6 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
9 8
 
1.2%
Other values (4) 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
38.3%
1 114
22.3%
2 82
16.0%
3 67
 
13.1%
6 34
 
6.6%
9 8
 
1.6%
4 4
 
0.8%
7 3
 
0.6%
8 2
 
0.4%
5 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
38.3%
1 114
22.3%
2 82
16.0%
3 67
 
13.1%
6 34
 
6.6%
9 8
 
1.6%
4 4
 
0.8%
7 3
 
0.6%
8 2
 
0.4%
5 2
 
0.4%
Latin
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
30.6%
1 114
17.8%
2 82
12.8%
3 67
 
10.5%
6 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
9 8
 
1.2%
Other values (4) 11
 
1.7%

인허가일자
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20157875
Minimum20100811
Maximum20200313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:05.529893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100811
5-th percentile20106252
Q120130807
median20160820
Q320190527
95-th percentile20195167
Maximum20200313
Range99502
Interquartile range (IQR)59720

Descriptive statistics

Standard deviation31268.123
Coefficient of variation (CV)0.0015511616
Kurtosis-1.1922728
Mean20157875
Median Absolute Deviation (MAD)29706.5
Skewness-0.30089751
Sum6.45052 × 108
Variance9.7769549 × 108
MonotonicityNot monotonic
2023-12-11T04:00:05.713690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20190527 4
 
12.5%
20100811 2
 
6.2%
20190903 2
 
6.2%
20130807 2
 
6.2%
20180221 1
 
3.1%
20141126 1
 
3.1%
20110923 1
 
3.1%
20150210 1
 
3.1%
20181120 1
 
3.1%
20130717 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
20100811 2
6.2%
20110704 1
3.1%
20110923 1
3.1%
20120705 1
3.1%
20130716 1
3.1%
20130717 1
3.1%
20130807 2
6.2%
20140312 1
3.1%
20140529 1
3.1%
20140725 1
3.1%
ValueCountFrequency (%)
20200313 1
 
3.1%
20200130 1
 
3.1%
20191107 1
 
3.1%
20190903 2
6.2%
20190613 1
 
3.1%
20190527 4
12.5%
20181120 1
 
3.1%
20180221 1
 
3.1%
20171109 1
 
3.1%
20170504 1
 
3.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
28 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 28
87.5%
3 4
 
12.5%

Length

2023-12-11T04:00:05.882694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.023264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
87.5%
3 4
 
12.5%

영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
28 
폐업
4 

Length

Max length5
Median length5
Mean length4.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 28
87.5%
폐업 4
 
12.5%

Length

2023-12-11T04:00:06.170740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.319239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
87.5%
폐업 4
 
12.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
28 
3
4 

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
87.5%
3 4
 
12.5%

Length

2023-12-11T04:00:06.742719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.877443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
87.5%
3 4
 
12.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
28 
폐업
4 

Length

Max length3
Median length3
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
87.5%
폐업 4
 
12.5%

Length

2023-12-11T04:00:07.023854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:07.153534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
87.5%
폐업 4
 
12.5%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
20190322
 
2
20191216
 
1
20190319
 
1

Length

Max length8
Median length4
Mean length4.5
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
20190322 2
 
6.2%
20191216 1
 
3.1%
20190319 1
 
3.1%

Length

2023-12-11T04:00:07.331784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:07.495953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
20190322 2
 
6.2%
20191216 1
 
3.1%
20190319 1
 
3.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
20190322
 
2
20191216
 
1
20190319
 
1

Length

Max length8
Median length4
Mean length4.5
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
20190322 2
 
6.2%
20191216 1
 
3.1%
20190319 1
 
3.1%

Length

2023-12-11T04:00:07.674096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:07.838404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
20190322 2
 
6.2%
20191216 1
 
3.1%
20190319 1
 
3.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지전화
Text

MISSING 

Distinct8
Distinct (%)66.7%
Missing20
Missing (%)62.5%
Memory size388.0 B
2023-12-11T04:00:08.007045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.666667
Min length8

Characters and Unicode

Total characters140
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

Unique6 ?
Unique (%)50.0%

Sample

1st row053-255-7173
2nd row053-252-6336
3rd row428-9980
4th row053-428-9980
5th row053-983-1040
ValueCountFrequency (%)
053-983-1040 4
33.3%
053-428-9900 2
16.7%
053-255-7173 1
 
8.3%
053-252-6336 1
 
8.3%
428-9980 1
 
8.3%
053-428-9980 1
 
8.3%
053-959-7200 1
 
8.3%
053-638-6171 1
 
8.3%
2023-12-11T04:00:08.358774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
19.3%
- 23
16.4%
3 19
13.6%
5 15
10.7%
9 14
10.0%
8 11
7.9%
4 8
 
5.7%
2 8
 
5.7%
1 7
 
5.0%
7 4
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
83.6%
Dash Punctuation 23
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
23.1%
3 19
16.2%
5 15
12.8%
9 14
12.0%
8 11
9.4%
4 8
 
6.8%
2 8
 
6.8%
1 7
 
6.0%
7 4
 
3.4%
6 4
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
19.3%
- 23
16.4%
3 19
13.6%
5 15
10.7%
9 14
10.0%
8 11
7.9%
4 8
 
5.7%
2 8
 
5.7%
1 7
 
5.0%
7 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
19.3%
- 23
16.4%
3 19
13.6%
5 15
10.7%
9 14
10.0%
8 11
7.9%
4 8
 
5.7%
2 8
 
5.7%
1 7
 
5.0%
7 4
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean704280.36
Minimum700192
Maximum711890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:08.510603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700192
5-th percentile700242.7
Q1700545
median701160
Q3710098.5
95-th percentile711877.65
Maximum711890
Range11698
Interquartile range (IQR)9553.5

Descriptive statistics

Standard deviation5103.8719
Coefficient of variation (CV)0.007246932
Kurtosis-1.211745
Mean704280.36
Median Absolute Deviation (MAD)870
Skewness0.9063827
Sum9859925
Variance26049508
MonotonicityNot monotonic
2023-12-11T04:00:08.667387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
701160 4
 
12.5%
711820 2
 
6.2%
700310 1
 
3.1%
700192 1
 
3.1%
700340 1
 
3.1%
700270 1
 
3.1%
701838 1
 
3.1%
704934 1
 
3.1%
711871 1
 
3.1%
711890 1
 
3.1%
(Missing) 18
56.2%
ValueCountFrequency (%)
700192 1
 
3.1%
700270 1
 
3.1%
700310 1
 
3.1%
700340 1
 
3.1%
701160 4
12.5%
701838 1
 
3.1%
704934 1
 
3.1%
711820 2
6.2%
711871 1
 
3.1%
711890 1
 
3.1%
ValueCountFrequency (%)
711890 1
 
3.1%
711871 1
 
3.1%
711820 2
6.2%
704934 1
 
3.1%
701838 1
 
3.1%
701160 4
12.5%
700340 1
 
3.1%
700310 1
 
3.1%
700270 1
 
3.1%
700192 1
 
3.1%

소재지전체주소
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T04:00:08.903543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.71875
Min length16

Characters and Unicode

Total characters631
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)75.0%

Sample

1st row대구광역시 중구 대봉동 121-127번지
2nd row대구광역시 중구 인교동 237-5번지
3rd row대구광역시 중구 대봉동 17-7번지
4th row대구광역시 중구 대신동 291-50번지
5th row대구광역시 중구 북내동 19-3번지
ValueCountFrequency (%)
대구광역시 32
23.7%
중구 13
 
9.6%
동구 10
 
7.4%
둔산동 9
 
6.7%
달성군 4
 
3.0%
대봉동 3
 
2.2%
북내동 3
 
2.2%
하빈면 2
 
1.5%
묘리 2
 
1.5%
달서구 2
 
1.5%
Other values (48) 55
40.7%
2023-12-11T04:00:09.345872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
16.3%
구 61
 
9.7%
동 38
 
6.0%
대 36
 
5.7%
지 34
 
5.4%
광 32
 
5.1%
역 32
 
5.1%
시 32
 
5.1%
번 31
 
4.9%
3 22
 
3.5%
Other values (40) 210
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
63.5%
Decimal Number 114
 
18.1%
Space Separator 103
 
16.3%
Dash Punctuation 13
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 61
15.2%
동 38
9.5%
대 36
9.0%
지 34
8.5%
광 32
8.0%
역 32
8.0%
시 32
8.0%
번 31
 
7.7%
산 14
 
3.5%
중 13
 
3.2%
Other values (28) 78
19.5%
Decimal Number
ValueCountFrequency (%)
3 22
19.3%
2 16
14.0%
1 16
14.0%
4 12
10.5%
6 11
9.6%
7 10
8.8%
5 9
7.9%
9 9
7.9%
8 6
 
5.3%
0 3
 
2.6%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
63.5%
Common 230
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 61
15.2%
동 38
9.5%
대 36
9.0%
지 34
8.5%
광 32
8.0%
역 32
8.0%
시 32
8.0%
번 31
 
7.7%
산 14
 
3.5%
중 13
 
3.2%
Other values (28) 78
19.5%
Common
ValueCountFrequency (%)
103
44.8%
3 22
 
9.6%
2 16
 
7.0%
1 16
 
7.0%
- 13
 
5.7%
4 12
 
5.2%
6 11
 
4.8%
7 10
 
4.3%
5 9
 
3.9%
9 9
 
3.9%
Other values (2) 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
63.5%
ASCII 230
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
44.8%
3 22
 
9.6%
2 16
 
7.0%
1 16
 
7.0%
- 13
 
5.7%
4 12
 
5.2%
6 11
 
4.8%
7 10
 
4.3%
5 9
 
3.9%
9 9
 
3.9%
Other values (2) 9
 
3.9%
Hangul
ValueCountFrequency (%)
구 61
15.2%
동 38
9.5%
대 36
9.0%
지 34
8.5%
광 32
8.0%
역 32
8.0%
시 32
8.0%
번 31
 
7.7%
산 14
 
3.5%
중 13
 
3.2%
Other values (28) 78
19.5%

도로명전체주소
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T04:00:09.644980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.75
Min length21

Characters and Unicode

Total characters792
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)71.9%

Sample

1st row대구광역시 중구 명덕로 321-49, 1층 (대봉동)
2nd row대구광역시 중구 국채보상로101길 20-2 (인교동)
3rd row대구광역시 중구 달구벌대로446길 28-8 (대봉동)
4th row대구광역시 중구 큰장로24길 26 (대신동)
5th row대구광역시 중구 서성로16길 46-4 (북내동)
ValueCountFrequency (%)
대구광역시 32
19.6%
중구 13
 
8.0%
동구 10
 
6.1%
옻골로 9
 
5.5%
둔산동 9
 
5.5%
달성군 4
 
2.5%
북내동 3
 
1.8%
대봉동 3
 
1.8%
서성로16길 3
 
1.8%
198 3
 
1.8%
Other values (62) 74
45.4%
2023-12-11T04:00:10.063863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
16.5%
구 64
 
8.1%
동 40
 
5.1%
대 37
 
4.7%
광 32
 
4.0%
역 32
 
4.0%
시 32
 
4.0%
( 28
 
3.5%
) 28
 
3.5%
로 28
 
3.5%
Other values (71) 340
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
58.7%
Space Separator 131
 
16.5%
Decimal Number 121
 
15.3%
Open Punctuation 28
 
3.5%
Close Punctuation 28
 
3.5%
Dash Punctuation 16
 
2.0%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
13.8%
동 40
 
8.6%
대 37
 
8.0%
광 32
 
6.9%
역 32
 
6.9%
시 32
 
6.9%
로 28
 
6.0%
길 17
 
3.7%
중 13
 
2.8%
산 13
 
2.8%
Other values (56) 157
33.8%
Decimal Number
ValueCountFrequency (%)
1 25
20.7%
2 18
14.9%
4 15
12.4%
5 15
12.4%
9 14
11.6%
6 12
9.9%
8 10
 
8.3%
3 6
 
5.0%
0 4
 
3.3%
7 2
 
1.7%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
58.7%
Common 327
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
13.8%
동 40
 
8.6%
대 37
 
8.0%
광 32
 
6.9%
역 32
 
6.9%
시 32
 
6.9%
로 28
 
6.0%
길 17
 
3.7%
중 13
 
2.8%
산 13
 
2.8%
Other values (56) 157
33.8%
Common
ValueCountFrequency (%)
131
40.1%
( 28
 
8.6%
) 28
 
8.6%
1 25
 
7.6%
2 18
 
5.5%
- 16
 
4.9%
4 15
 
4.6%
5 15
 
4.6%
9 14
 
4.3%
6 12
 
3.7%
Other values (5) 25
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
58.7%
ASCII 327
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
40.1%
( 28
 
8.6%
) 28
 
8.6%
1 25
 
7.6%
2 18
 
5.5%
- 16
 
4.9%
4 15
 
4.6%
5 15
 
4.6%
9 14
 
4.3%
6 12
 
3.7%
Other values (5) 25
 
7.6%
Hangul
ValueCountFrequency (%)
구 64
13.8%
동 40
 
8.6%
대 37
 
8.0%
광 32
 
6.9%
역 32
 
6.9%
시 32
 
6.9%
로 28
 
6.0%
길 17
 
3.7%
중 13
 
2.8%
산 13
 
2.8%
Other values (56) 157
33.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)56.7%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean41844.567
Minimum41002
Maximum43007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:10.247434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41055
Q141055
median41920
Q341953
95-th percentile42958.3
Maximum43007
Range2005
Interquartile range (IQR)898

Descriptive statistics

Standard deviation647.09897
Coefficient of variation (CV)0.015464349
Kurtosis-0.80920959
Mean41844.567
Median Absolute Deviation (MAD)536.5
Skewness0.25645943
Sum1255337
Variance418737.08
MonotonicityNot monotonic
2023-12-11T04:00:10.379305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
41055 8
25.0%
41919 4
12.5%
41953 2
 
6.2%
42900 2
 
6.2%
42606 2
 
6.2%
41906 1
 
3.1%
41931 1
 
3.1%
41935 1
 
3.1%
41921 1
 
3.1%
41934 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
41002 1
 
3.1%
41055 8
25.0%
41533 1
 
3.1%
41906 1
 
3.1%
41919 4
12.5%
41921 1
 
3.1%
41927 1
 
3.1%
41931 1
 
3.1%
41934 1
 
3.1%
41935 1
 
3.1%
ValueCountFrequency (%)
43007 1
3.1%
43006 1
3.1%
42900 2
6.2%
42606 2
6.2%
42250 1
3.1%
41953 2
6.2%
41951 1
3.1%
41935 1
3.1%
41934 1
3.1%
41931 1
3.1%

사업장명
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T04:00:10.630634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length6.84375
Min length2

Characters and Unicode

Total characters219
Distinct characters94
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row(주)소스
2nd row한옥1957
3rd row퍼센트17-7
4th row서문한옥게스트하우스
5th rowGuma's hanok
ValueCountFrequency (%)
월드컵장미한옥 2
 
4.4%
전통한옥 2
 
4.4%
옻골마을 2
 
4.4%
병암서원 2
 
4.4%
춘제 2
 
4.4%
금전고택 2
 
4.4%
백불고택 1
 
2.2%
주)소스 1
 
2.2%
육신사 1
 
2.2%
니암고택 1
 
2.2%
Other values (29) 29
64.4%
2023-12-11T04:00:11.014811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.9%
한 10
 
4.6%
옥 9
 
4.1%
스 8
 
3.7%
전 8
 
3.7%
고 6
 
2.7%
택 6
 
2.7%
통 5
 
2.3%
원 4
 
1.8%
암 4
 
1.8%
Other values (84) 146
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
79.5%
Space Separator 13
 
5.9%
Lowercase Letter 11
 
5.0%
Decimal Number 7
 
3.2%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%
Other Punctuation 3
 
1.4%
Uppercase Letter 2
 
0.9%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 10
 
5.7%
옥 9
 
5.2%
스 8
 
4.6%
전 8
 
4.6%
고 6
 
3.4%
택 6
 
3.4%
통 5
 
2.9%
원 4
 
2.3%
암 4
 
2.3%
트 4
 
2.3%
Other values (65) 110
63.2%
Lowercase Letter
ValueCountFrequency (%)
n 2
18.2%
h 2
18.2%
a 2
18.2%
u 1
9.1%
m 1
9.1%
s 1
9.1%
o 1
9.1%
k 1
9.1%
Decimal Number
ValueCountFrequency (%)
7 3
42.9%
1 2
28.6%
9 1
 
14.3%
5 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
79.0%
Common 32
 
14.6%
Latin 13
 
5.9%
Han 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 10
 
5.8%
옥 9
 
5.2%
스 8
 
4.6%
전 8
 
4.6%
고 6
 
3.5%
택 6
 
3.5%
통 5
 
2.9%
원 4
 
2.3%
암 4
 
2.3%
트 4
 
2.3%
Other values (64) 109
63.0%
Latin
ValueCountFrequency (%)
n 2
15.4%
h 2
15.4%
a 2
15.4%
G 1
7.7%
u 1
7.7%
m 1
7.7%
s 1
7.7%
o 1
7.7%
k 1
7.7%
A 1
7.7%
Common
ValueCountFrequency (%)
13
40.6%
( 4
 
12.5%
) 4
 
12.5%
' 3
 
9.4%
7 3
 
9.4%
1 2
 
6.2%
9 1
 
3.1%
5 1
 
3.1%
- 1
 
3.1%
Han
ValueCountFrequency (%)
安 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
79.0%
ASCII 45
 
20.5%
CJK 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
28.9%
( 4
 
8.9%
) 4
 
8.9%
' 3
 
6.7%
7 3
 
6.7%
n 2
 
4.4%
h 2
 
4.4%
a 2
 
4.4%
1 2
 
4.4%
9 1
 
2.2%
Other values (9) 9
20.0%
Hangul
ValueCountFrequency (%)
한 10
 
5.8%
옥 9
 
5.2%
스 8
 
4.6%
전 8
 
4.6%
고 6
 
3.5%
택 6
 
3.5%
통 5
 
2.9%
원 4
 
2.3%
암 4
 
2.3%
트 4
 
2.3%
Other values (64) 109
63.0%
CJK
ValueCountFrequency (%)
安 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176923 × 1013
Minimum2.0120102 × 1013
Maximum2.0200805 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:11.150141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120102 × 1013
5-th percentile2.0120102 × 1013
Q12.0167996 × 1013
median2.0190322 × 1013
Q32.0191118 × 1013
95-th percentile2.020055 × 1013
Maximum2.0200805 × 1013
Range8.0702914 × 1010
Interquartile range (IQR)2.312183 × 1010

Descriptive statistics

Standard deviation2.3820577 × 1010
Coefficient of variation (CV)0.0011805852
Kurtosis1.0013033
Mean2.0176923 × 1013
Median Absolute Deviation (MAD)9.5964736 × 109
Skewness-1.374903
Sum6.4566154 × 1014
Variance5.6741987 × 1020
MonotonicityNot monotonic
2023-12-11T04:00:11.308602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20180221170049 1
 
3.1%
20190708161748 1
 
3.1%
20120102190205 1
 
3.1%
20120102190416 1
 
3.1%
20120102190552 1
 
3.1%
20150210143456 1
 
3.1%
20181120144057 1
 
3.1%
20171110095242 1
 
3.1%
20200722103833 1
 
3.1%
20191224094903 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
20120102190205 1
3.1%
20120102190416 1
3.1%
20120102190552 1
3.1%
20140725100654 1
3.1%
20150210143456 1
3.1%
20160112115420 1
3.1%
20160825123038 1
3.1%
20161004100633 1
3.1%
20170327090254 1
3.1%
20171110095242 1
3.1%
ValueCountFrequency (%)
20200805103730 1
3.1%
20200722103833 1
3.1%
20200409151226 1
3.1%
20200313091157 1
3.1%
20191224094903 1
3.1%
20191216145248 1
3.1%
20191203101904 1
3.1%
20191118173021 1
3.1%
20191118172803 1
3.1%
20191107163634 1
3.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
18 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
I 18
56.2%
U 14
43.8%

Length

2023-12-11T04:00:11.468505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:11.583523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
56.2%
u 14
43.8%

데이터갱신일자
Date

Distinct18
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2018-08-31 23:59:59
Maximum2020-08-07 00:23:15
2023-12-11T04:00:11.689766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:11.816139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344327.56
Minimum323592.2
Maximum352224.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:11.920429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323592.2
5-th percentile327841.65
Q1343068.68
median344603.68
Q3352171.91
95-th percentile352224.71
Maximum352224.71
Range28632.516
Interquartile range (IQR)9103.2355

Descriptive statistics

Standard deviation8029.4414
Coefficient of variation (CV)0.023319194
Kurtosis0.77020836
Mean344327.56
Median Absolute Deviation (MAD)7046.9922
Skewness-1.1282409
Sum11018482
Variance64471929
MonotonicityNot monotonic
2023-12-11T04:00:12.058333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
352224.714737 3
 
9.4%
337296.043799 2
 
6.2%
351650.668072 2
 
6.2%
352175.504715 2
 
6.2%
352199.575827 2
 
6.2%
344982.434493 1
 
3.1%
352205.341032 1
 
3.1%
327804.75016 1
 
3.1%
327871.84679 1
 
3.1%
323592.198268 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
323592.198268 1
3.1%
327804.75016 1
3.1%
327871.84679 1
3.1%
328983.949788 1
3.1%
337296.043799 2
6.2%
342591.267098 1
3.1%
343039.56156 1
3.1%
343078.384244 1
3.1%
343474.900402 1
3.1%
343504.61207 1
3.1%
ValueCountFrequency (%)
352224.714737 3
9.4%
352205.341032 1
 
3.1%
352199.575827 2
6.2%
352175.504715 2
6.2%
352170.717258 1
 
3.1%
351650.668072 2
6.2%
347988.560819 1
 
3.1%
345404.024509 1
 
3.1%
344982.434493 1
 
3.1%
344917.965829 1
 
3.1%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264522.9
Minimum242248.75
Maximum272561.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:12.194065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum242248.75
5-th percentile252568.99
Q1263494.39
median264823.91
Q3268771.94
95-th percentile268858.03
Maximum272561.52
Range30312.769
Interquartile range (IQR)5277.5558

Descriptive statistics

Standard deviation6399.9187
Coefficient of variation (CV)0.024194195
Kurtosis7.4082805
Mean264522.9
Median Absolute Deviation (MAD)3349.266
Skewness-2.552035
Sum8464732.8
Variance40958959
MonotonicityNot monotonic
2023-12-11T04:00:12.334624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
268777.319312 3
 
9.4%
263379.836908 2
 
6.2%
260189.907491 2
 
6.2%
268770.150466 2
 
6.2%
268858.029724 2
 
6.2%
262906.952986 1
 
3.1%
268694.450273 1
 
3.1%
268739.386947 1
 
3.1%
268839.745597 1
 
3.1%
243254.531655 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
242248.752039 1
3.1%
243254.531655 1
3.1%
260189.907491 2
6.2%
262906.952986 1
3.1%
263018.893079 1
3.1%
263379.836908 2
6.2%
263532.570256 1
3.1%
264102.402881 1
3.1%
264260.18976 1
3.1%
264316.342495 1
3.1%
ValueCountFrequency (%)
272561.521455 1
 
3.1%
268858.029724 2
6.2%
268839.745597 1
 
3.1%
268805.590499 1
 
3.1%
268777.319312 3
9.4%
268770.150466 2
6.2%
268739.386947 1
 
3.1%
268694.450273 1
 
3.1%
267651.895648 1
 
3.1%
264829.652088 1
 
3.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
한옥체험업(구)
30 
<NA>
 
1
한옥체험업
 
1

Length

Max length8
Median length8
Mean length7.78125
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row한옥체험업(구)
2nd row한옥체험업(구)
3rd row한옥체험업(구)
4th row한옥체험업(구)
5th row한옥체험업(구)

Common Values

ValueCountFrequency (%)
한옥체험업(구) 30
93.8%
<NA> 1
 
3.1%
한옥체험업 1
 
3.1%

Length

2023-12-11T04:00:12.472980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:12.591520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한옥체험업(구 30
93.8%
na 1
 
3.1%
한옥체험업 1
 
3.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

지역구분명
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing22
Missing (%)68.8%
Memory size388.0 B
2023-12-11T04:00:12.725108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4
Min length4

Characters and Unicode

Total characters54
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)20.0%

Sample

1st row주거지역
2nd row주거지역
3rd row중심상업지역
4th row중심상업지역
5th row중심상업지역
ValueCountFrequency (%)
주거지역 3
30.0%
중심상업지역 3
30.0%
자연녹지지역 2
20.0%
일반주거지역 1
 
10.0%
전용주거지역 1
 
10.0%
2023-12-11T04:00:13.063683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 12
22.2%
역 10
18.5%
주 5
9.3%
거 5
9.3%
중 3
 
5.6%
심 3
 
5.6%
상 3
 
5.6%
업 3
 
5.6%
자 2
 
3.7%
연 2
 
3.7%
Other values (5) 6
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 12
22.2%
역 10
18.5%
주 5
9.3%
거 5
9.3%
중 3
 
5.6%
심 3
 
5.6%
상 3
 
5.6%
업 3
 
5.6%
자 2
 
3.7%
연 2
 
3.7%
Other values (5) 6
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 12
22.2%
역 10
18.5%
주 5
9.3%
거 5
9.3%
중 3
 
5.6%
심 3
 
5.6%
상 3
 
5.6%
업 3
 
5.6%
자 2
 
3.7%
연 2
 
3.7%
Other values (5) 6
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 12
22.2%
역 10
18.5%
주 5
9.3%
거 5
9.3%
중 3
 
5.6%
심 3
 
5.6%
상 3
 
5.6%
업 3
 
5.6%
자 2
 
3.7%
연 2
 
3.7%
Other values (5) 6
11.1%

총층수
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
24 
1
7 
3
 
1

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row1
2nd row1
3rd row<NA>
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
75.0%
1 7
 
21.9%
3 1
 
3.1%

Length

2023-12-11T04:00:13.228755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:13.369237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
75.0%
1 7
 
21.9%
3 1
 
3.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing28
Missing (%)87.5%
Memory size388.0 B
2023-12-11T04:00:13.513781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5
Min length2

Characters and Unicode

Total characters20
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row학교정화(상대)
2nd row기타
3rd row주택가주변
4th row주택가주변
ValueCountFrequency (%)
주택가주변 2
50.0%
학교정화(상대 1
25.0%
기타 1
25.0%
2023-12-11T04:00:13.806085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
20.0%
택 2
10.0%
가 2
10.0%
변 2
10.0%
학 1
 
5.0%
교 1
 
5.0%
정 1
 
5.0%
화 1
 
5.0%
( 1
 
5.0%
상 1
 
5.0%
Other values (4) 4
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
90.0%
Open Punctuation 1
 
5.0%
Close Punctuation 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
22.2%
택 2
11.1%
가 2
11.1%
변 2
11.1%
학 1
 
5.6%
교 1
 
5.6%
정 1
 
5.6%
화 1
 
5.6%
상 1
 
5.6%
대 1
 
5.6%
Other values (2) 2
11.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
90.0%
Common 2
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
22.2%
택 2
11.1%
가 2
11.1%
변 2
11.1%
학 1
 
5.6%
교 1
 
5.6%
정 1
 
5.6%
화 1
 
5.6%
상 1
 
5.6%
대 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
90.0%
ASCII 2
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
22.2%
택 2
11.1%
가 2
11.1%
변 2
11.1%
학 1
 
5.6%
교 1
 
5.6%
정 1
 
5.6%
화 1
 
5.6%
상 1
 
5.6%
대 1
 
5.6%
Other values (2) 2
11.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

건물용도명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
22 
단독주택
9 
숙박시설
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
68.8%
단독주택 9
28.1%
숙박시설 1
 
3.1%

Length

2023-12-11T04:00:13.938141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:14.038131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
68.8%
단독주택 9
28.1%
숙박시설 1
 
3.1%

지상층수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
1
5 

Length

Max length4
Median length4
Mean length3.53125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
1 5
 
15.6%

Length

2023-12-11T04:00:14.138277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:14.242044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
1 5
 
15.6%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
1
 
1

Length

Max length4
Median length4
Mean length3.90625
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
1 1
 
3.1%

Length

2023-12-11T04:00:14.359527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:14.462601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
1 1
 
3.1%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
76
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
76 1
 
3.1%

Length

2023-12-11T04:00:14.577147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:14.690062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
76 1
 
3.1%

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
2023-12-11T04:00:14.821513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length20.6
Min length13

Characters and Unicode

Total characters103
Distinct characters36
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowLove in house
2nd rowTraditilnal Village Stay(Ot-gol)
3rd rowWorldcup Rose House
4th rowByeongam Confucian Academy
5th rowDaenigol Niam
ValueCountFrequency (%)
house 2
14.3%
love 1
 
7.1%
in 1
 
7.1%
traditilnal 1
 
7.1%
village 1
 
7.1%
stay(ot-gol 1
 
7.1%
worldcup 1
 
7.1%
rose 1
 
7.1%
byeongam 1
 
7.1%
confucian 1
 
7.1%
Other values (3) 3
21.4%
2023-12-11T04:00:15.104497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 9
 
8.7%
9
 
8.7%
o 9
 
8.7%
e 8
 
7.8%
i 7
 
6.8%
l 7
 
6.8%
n 6
 
5.8%
u 4
 
3.9%
g 4
 
3.9%
y 3
 
2.9%
Other values (26) 37
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 78
75.7%
Uppercase Letter 13
 
12.6%
Space Separator 9
 
8.7%
Close Punctuation 1
 
1.0%
Dash Punctuation 1
 
1.0%
Open Punctuation 1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 9
11.5%
o 9
11.5%
e 8
10.3%
i 7
 
9.0%
l 7
 
9.0%
n 6
 
7.7%
u 4
 
5.1%
g 4
 
5.1%
y 3
 
3.8%
c 3
 
3.8%
Other values (9) 18
23.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
 
7.7%
H 1
 
7.7%
B 1
 
7.7%
L 1
 
7.7%
C 1
 
7.7%
A 1
 
7.7%
D 1
 
7.7%
S 1
 
7.7%
W 1
 
7.7%
O 1
 
7.7%
Other values (3) 3
23.1%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 91
88.3%
Common 12
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 9
 
9.9%
o 9
 
9.9%
e 8
 
8.8%
i 7
 
7.7%
l 7
 
7.7%
n 6
 
6.6%
u 4
 
4.4%
g 4
 
4.4%
y 3
 
3.3%
c 3
 
3.3%
Other values (22) 31
34.1%
Common
ValueCountFrequency (%)
9
75.0%
) 1
 
8.3%
- 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 9
 
8.7%
9
 
8.7%
o 9
 
8.7%
e 8
 
7.8%
i 7
 
6.8%
l 7
 
6.8%
n 6
 
5.8%
u 4
 
3.9%
g 4
 
3.9%
y 3
 
2.9%
Other values (26) 37
35.9%

영문상호주소
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
2023-12-11T04:00:15.281533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length45.4
Min length31

Characters and Unicode

Total characters227
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
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 rowKorean house experience service
2nd rowTraditional korean house(HANOK) experience industry
3rd rowTraditional Korean housing experience business
4th rowHanok(Traditional Korean House) Experience Business
5th rowTraditional korean housing experiencing business
ValueCountFrequency (%)
korean 5
20.8%
experience 4
16.7%
traditional 3
12.5%
business 3
12.5%
house 2
 
8.3%
housing 2
 
8.3%
service 1
 
4.2%
house(hanok 1
 
4.2%
industry 1
 
4.2%
hanok(traditional 1
 
4.2%
2023-12-11T04:00:15.719348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 31
13.7%
n 22
 
9.7%
i 21
 
9.3%
19
 
8.4%
r 16
 
7.0%
s 16
 
7.0%
o 15
 
6.6%
a 14
 
6.2%
u 9
 
4.0%
c 6
 
2.6%
Other values (21) 58
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 188
82.8%
Space Separator 19
 
8.4%
Uppercase Letter 16
 
7.0%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 31
16.5%
n 22
11.7%
i 21
11.2%
r 16
8.5%
s 16
8.5%
o 15
8.0%
a 14
7.4%
u 9
 
4.8%
c 6
 
3.2%
d 5
 
2.7%
Other values (10) 33
17.6%
Uppercase Letter
ValueCountFrequency (%)
K 4
25.0%
T 4
25.0%
H 3
18.8%
A 1
 
6.2%
N 1
 
6.2%
O 1
 
6.2%
E 1
 
6.2%
B 1
 
6.2%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 204
89.9%
Common 23
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 31
15.2%
n 22
10.8%
i 21
10.3%
r 16
 
7.8%
s 16
 
7.8%
o 15
 
7.4%
a 14
 
6.9%
u 9
 
4.4%
c 6
 
2.9%
d 5
 
2.5%
Other values (18) 49
24.0%
Common
ValueCountFrequency (%)
19
82.6%
( 2
 
8.7%
) 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 31
13.7%
n 22
 
9.7%
i 21
 
9.3%
19
 
8.4%
r 16
 
7.0%
s 16
 
7.0%
o 15
 
6.6%
a 14
 
6.2%
u 9
 
4.0%
c 6
 
2.6%
Other values (21) 58
25.6%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean281.11333
Minimum27.77
Maximum1862.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:15.837584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.77
5-th percentile39.771
Q155.24
median95.775
Q3241.365
95-th percentile1034.664
Maximum1862.92
Range1835.15
Interquartile range (IQR)186.125

Descriptive statistics

Standard deviation509.12408
Coefficient of variation (CV)1.811099
Kurtosis10.688612
Mean281.11333
Median Absolute Deviation (MAD)57.095
Skewness3.2103123
Sum3373.36
Variance259207.33
MonotonicityNot monotonic
2023-12-11T04:00:15.954624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
75.87 2
 
6.2%
49.59 1
 
3.1%
115.68 1
 
3.1%
227.82 1
 
3.1%
190.28 1
 
3.1%
27.77 1
 
3.1%
52.36 1
 
3.1%
56.2 1
 
3.1%
1862.92 1
 
3.1%
282.0 1
 
3.1%
(Missing) 20
62.5%
ValueCountFrequency (%)
27.77 1
3.1%
49.59 1
3.1%
52.36 1
3.1%
56.2 1
3.1%
75.87 2
6.2%
115.68 1
3.1%
190.28 1
3.1%
227.82 1
3.1%
282.0 1
3.1%
357.0 1
3.1%
ValueCountFrequency (%)
1862.92 1
3.1%
357.0 1
3.1%
282.0 1
3.1%
227.82 1
3.1%
190.28 1
3.1%
115.68 1
3.1%
75.87 2
6.2%
56.2 1
3.1%
52.36 1
3.1%
49.59 1
3.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

자본금
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
313000000
 
1
600000000
 
1
80800000
 
1

Length

Max length9
Median length4
Mean length4.4375
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row313000000
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
313000000 1
 
3.1%
600000000 1
 
3.1%
80800000 1
 
3.1%

Length

2023-12-11T04:00:16.086993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:16.191394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
313000000 1
 
3.1%
600000000 1
 
3.1%
80800000 1
 
3.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean281.16667
Minimum28
Maximum1863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T04:00:16.291626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile40.1
Q155
median96
Q3241.5
95-th percentile1034.7
Maximum1863
Range1835
Interquartile range (IQR)186.5

Descriptive statistics

Standard deviation509.12596
Coefficient of variation (CV)1.8107622
Kurtosis10.689368
Mean281.16667
Median Absolute Deviation (MAD)57
Skewness3.2104594
Sum3374
Variance259209.24
MonotonicityNot monotonic
2023-12-11T04:00:16.423830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
76 2
 
6.2%
50 1
 
3.1%
116 1
 
3.1%
228 1
 
3.1%
190 1
 
3.1%
28 1
 
3.1%
52 1
 
3.1%
56 1
 
3.1%
1863 1
 
3.1%
282 1
 
3.1%
(Missing) 20
62.5%
ValueCountFrequency (%)
28 1
3.1%
50 1
3.1%
52 1
3.1%
56 1
3.1%
76 2
6.2%
116 1
3.1%
190 1
3.1%
228 1
3.1%
282 1
3.1%
357 1
3.1%
ValueCountFrequency (%)
1863 1
3.1%
357 1
3.1%
282 1
3.1%
228 1
3.1%
190 1
3.1%
116 1
3.1%
76 2
6.2%
56 1
3.1%
52 1
3.1%
50 1
3.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01한옥체험업03_11_06_P3410000CDFI326113201800000120180221<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-7173<NA><NA>대구광역시 중구 대봉동 121-127번지대구광역시 중구 명덕로 321-49, 1층 (대봉동)41953(주)소스20180221170049I2018-08-31 23:59:59.0<NA>344982.434493262906.952986한옥체험업(구)<NA><NA>1<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49.59<NA><NA><NA><NA><NA><NA><NA><NA>313000000<NA><NA><NA>50
12한옥체험업03_11_06_P3410000CDFI326113201900000120190613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 인교동 237-5번지대구광역시 중구 국채보상로101길 20-2 (인교동)41921한옥195720190613103325I2019-06-15 02:21:11.0<NA>343039.56156264646.06135한옥체험업(구)<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>115.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>116
23한옥체험업03_11_06_P3410000CDFI326113202000000120200313<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 17-7번지대구광역시 중구 달구벌대로446길 28-8 (대봉동)41951퍼센트17-720200313091157I2020-03-15 00:23:23.0<NA>344917.965829263532.570256한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34한옥체험업03_11_06_P3410000CDFI326113201700000320171109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대신동 291-50번지대구광역시 중구 큰장로24길 26 (대신동)41927서문한옥게스트하우스20181221174533U2018-12-23 02:40:00.0<NA>342591.267098264102.402881한옥체험업(구)<NA>주거지역3학교정화(상대)<NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>227.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>228
45한옥체험업03_11_06_P3410000CDFI326113201700000220170504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 북내동 19-3번지대구광역시 중구 서성로16길 46-4 (북내동)41919Guma's hanok20191203101904U2019-12-06 02:40:00.0<NA>343515.393897264827.995733한옥체험업(구)<NA>주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56한옥체험업03_11_06_P3410000CDFI326113201700000120170327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 122-30번지대구광역시 중구 동덕로 16-3 (대봉동)41953라온20170327090254I2018-08-31 23:59:59.0<NA>344891.749332263018.893079한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67한옥체험업03_11_06_P3410000CDFI326113201600000120160816<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-6336<NA><NA>대구광역시 중구 종로1가 82대구광역시 중구 종로 45-28 (종로1가)41934잔치20161004100633I2018-08-31 23:59:59.0<NA>343552.595737264454.653924한옥체험업(구)<NA>중심상업지역1<NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>190.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>190
78한옥체험업03_11_06_P3410000CDFI326113201900000220191107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동3가 325-7번지대구광역시 중구 국채보상로149길 98 (동인동3가)41906한옥게스트하우스 '安(Ahn)'20191107163634I2019-11-09 00:23:10.0<NA>345404.024509264829.652088한옥체험업(구)<NA><NA><NA><NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27.77<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>28
89한옥체험업03_11_06_P3410000CDFI326113201200000120120705<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9980<NA>700310대구광역시 중구 동산동 229번지대구광역시 중구 국채보상로 492-58 (동산동)41931옛 구암서원(대구전통문화센터)20190402152510U2019-04-04 02:40:00.0<NA>343078.384244264316.342495한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910한옥체험업03_11_06_P3410000CDFI326113201400000120140529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700192대구광역시 중구 종로2가 66-4번지대구광역시 중구 진골목길 9 (종로2가)41935공감한옥게스트하우스20190604103104U2019-06-06 02:40:00.0<NA>343746.254402264260.18976한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2223한옥체험업03_11_06_P3420000CDFI326113201300000220130807<NA>3폐업3폐업20190322<NA>20190322<NA><NA><NA>701160대구광역시 동구 둔산동 382번지대구광역시 동구 옻골로 195-2 (둔산동)41055금전고택20190322164727U2019-03-24 02:40:00.0<NA>352175.504715268770.150466한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2324한옥체험업03_11_06_P3450000CDFI326113201600000120160825<NA>1영업/정상13영업중<NA><NA><NA><NA>053-959-7200<NA><NA>대구광역시 북구 산격동 산 79-1번지대구광역시 북구 연암공원로17길 20 (산격동, 구암서원)41533(사)영남선비문화수련원20160825123038I2018-08-31 23:59:59.0<NA>344315.602332267651.895648한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2425한옥체험업03_11_06_P3460000CDFI326113201900000120190903<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 삼덕동 335번지대구광역시 수성구 월드컵로5안길 22 (삼덕동)42250월드컵장미한옥20191224094903U2019-12-26 02:40:00.0<NA>351650.668072260189.907491한옥체험업(구)<NA><NA>1<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>75.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76
2526한옥체험업03_11_06_P3460000CDFI226222201900000120190903<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 삼덕동 335대구광역시 수성구 월드컵로5안길 22 (삼덕동)<NA>월드컵장미한옥20200722103833I2020-07-24 00:23:15.0<NA>351650.668072260189.907491한옥체험업<NA>전용주거지역1기타<NA><NA>단독주택1<NA>176Worldcup Rose HouseTraditional Korean housing experience business<NA><NA><NA><NA><NA><NA><NA>75.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76
2627한옥체험업03_11_06_P3470000CDFI326113201300000120130717<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-9900<NA>704934대구광역시 달서구 용산동 521번지대구광역시 달서구 새방로 21 (용산동)42606대구전통문화센터 병암서원20171110095242I2018-08-31 23:59:59.0<NA>337296.043799263379.836908한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2728한옥체험업03_11_06_P3470000CDFI326113201800000120181120<NA>1영업/정상13영업중<NA><NA><NA><NA>053-638-6171<NA><NA>대구광역시 달서구 용산동 521번지대구광역시 달서구 새방로 21, 병암서원 (용산동)42606병암서원20181120144057I2018-11-22 02:36:27.0<NA>337296.043799263379.836908한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Byeongam Confucian AcademyHanok(Traditional Korean House) Experience Business<NA><NA><NA><NA><NA><NA><NA>1862.92<NA><NA><NA><NA><NA><NA><NA><NA>600000000<NA><NA><NA>1863
2829한옥체험업03_11_06_P3480000CDFI326113201500000120150210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711871대구광역시 달성군 현풍면 지리 1143번지대구광역시 달성군 현풍면 지동1길 4343007한훤당20150210143456I2018-08-31 23:59:59.0<NA>328983.949788242248.752039한옥체험업(구)<NA>주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2930한옥체험업03_11_06_P3480000CDFI326113201100000120110923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711890대구광역시 달성군 구지면 오설리 460번지대구광역시 달성군 구지면 구지서로60길 41-543006대니골 니암고택20120102190552I2018-08-31 23:59:59.0<NA>323592.198268243254.531655한옥체험업(구)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Daenigol NiamTraditional korean housing experiencing business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>80800000<NA><NA><NA><NA>
3031한옥체험업03_11_06_P3480000CDFI326113201000000220100811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711820대구광역시 달성군 하빈면 묘리 637번지 643번지대구광역시 달성군 하빈면 육신사길 6442900육신사 전통한옥20120102190416I2018-08-31 23:59:59.0<NA>327871.84679268839.745597한옥체험업(구)<NA>자연녹지지역<NA>주택가주변<NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>282.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>282
3132한옥체험업03_11_06_P3480000CDFI326113201000000120100811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711820대구광역시 달성군 하빈면 묘리 644번지 645번지대구광역시 달성군 하빈면 육신사길 5542900묘골 전통한옥20120102190205I2018-08-31 23:59:59.0<NA>327804.75016268739.386947한옥체험업(구)<NA>자연녹지지역1주택가주변<NA><NA>단독주택1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>357.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>357