Overview

Dataset statistics

Number of variables63
Number of observations29
Missing cells868
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory550.6 B

Variable types

Numeric13
Categorical15
Text7
Unsupported23
DateTime1
Boolean4

Dataset

Description6270000_대구광역시_03_07_09_P_일반유원시설업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089621&dataSetDetailId=DDI_0000089638&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (67.8%)Imbalance
휴업종료일자 is highly imbalanced (63.7%)Imbalance
놀이시설수 is highly imbalanced (53.7%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 14 (48.3%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
소재지전화 has 15 (51.7%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 12 (41.4%) missing valuesMissing
도로명전체주소 has 4 (13.8%) missing valuesMissing
도로명우편번호 has 6 (20.7%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
총층수 has 23 (79.3%) missing valuesMissing
제작취급품목내용 has 29 (100.0%) missing valuesMissing
보험기관명 has 29 (100.0%) missing valuesMissing
건물용도명 has 25 (86.2%) missing valuesMissing
지상층수 has 19 (65.5%) missing valuesMissing
객실수 has 29 (100.0%) missing valuesMissing
건축연면적 has 29 (100.0%) missing valuesMissing
영문상호명 has 29 (100.0%) missing valuesMissing
영문상호주소 has 29 (100.0%) missing valuesMissing
선박총톤수 has 29 (100.0%) missing valuesMissing
선박척수 has 29 (100.0%) missing valuesMissing
선박제원 has 29 (100.0%) missing valuesMissing
무대면적 has 29 (100.0%) missing valuesMissing
좌석수 has 29 (100.0%) missing valuesMissing
기념품종류 has 29 (100.0%) missing valuesMissing
회의실별동시수용인원 has 29 (100.0%) missing valuesMissing
시설면적 has 18 (62.1%) missing valuesMissing
놀이기구수내역 has 9 (31.0%) missing valuesMissing
방송시설유무 has 5 (17.2%) missing valuesMissing
발전시설유무 has 15 (51.7%) missing valuesMissing
의무실유무 has 13 (44.8%) missing valuesMissing
안내소유무 has 5 (17.2%) missing valuesMissing
기획여행보험시작일자 has 29 (100.0%) missing valuesMissing
기획여행보험종료일자 has 29 (100.0%) missing valuesMissing
자본금 has 29 (100.0%) missing valuesMissing
보험시작일자 has 29 (100.0%) missing valuesMissing
보험종료일자 has 29 (100.0%) missing valuesMissing
부대시설내역 has 29 (100.0%) missing valuesMissing
시설규모 has 18 (62.1%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 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
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
자본금 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 started2024-04-17 14:54:56.219906
Analysis finished2024-04-17 14:54:56.726220
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:54:56.771318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-17T23:54:56.860133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
일반유원시설업
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반유원시설업 29
100.0%

Length

2024-04-17T23:54:56.952038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:57.017813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반유원시설업 29
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
03_07_09_P
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_09_P
2nd row03_07_09_P
3rd row03_07_09_P
4th row03_07_09_P
5th row03_07_09_P

Common Values

ValueCountFrequency (%)
03_07_09_P 29
100.0%

Length

2024-04-17T23:54:57.090461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:57.161155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_09_p 29
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435862.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:54:57.230122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33460000
95-th percentile3476000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation24715.126
Coefficient of variation (CV)0.0071932823
Kurtosis-1.4203067
Mean3435862.1
Median Absolute Deviation (MAD)10000
Skewness0.36175662
Sum99640000
Variance6.1083744 × 108
MonotonicityIncreasing
2024-04-17T23:54:57.527991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 9
31.0%
3420000 6
20.7%
3450000 5
17.2%
3460000 4
13.8%
3470000 2
 
6.9%
3480000 2
 
6.9%
3440000 1
 
3.4%
ValueCountFrequency (%)
3410000 9
31.0%
3420000 6
20.7%
3440000 1
 
3.4%
3450000 5
17.2%
3460000 4
13.8%
3470000 2
 
6.9%
3480000 2
 
6.9%
ValueCountFrequency (%)
3480000 2
 
6.9%
3470000 2
 
6.9%
3460000 4
13.8%
3450000 5
17.2%
3440000 1
 
3.4%
3420000 6
20.7%
3410000 9
31.0%

관리번호
Text

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T23:54:57.677881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters580
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

Unique16 ?
Unique (%)55.2%

Sample

1st rowCDFI5271002011000001
2nd rowCDFI5271002011000002
3rd rowCDFI5271002011000003
4th rowCDFI5271002012000001
5th rowCDFI5271002019000002
ValueCountFrequency (%)
cdfi5271002019000001 3
 
10.3%
cdfi5271002019000002 2
 
6.9%
cdfi5271002014000001 2
 
6.9%
cdfi5271002016000001 2
 
6.9%
cdfi5271002015000001 2
 
6.9%
cdfi5271002012000001 2
 
6.9%
cdfi5271001988000001 1
 
3.4%
cdfi5271002011000001 1
 
3.4%
cdfi5271001997000001 1
 
3.4%
cdfi5271001993000001 1
 
3.4%
Other values (12) 12
41.4%
2024-04-17T23:54:57.940294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
39.3%
1 82
 
14.1%
2 59
 
10.2%
7 34
 
5.9%
5 31
 
5.3%
C 29
 
5.0%
D 29
 
5.0%
F 29
 
5.0%
I 29
 
5.0%
9 15
 
2.6%
Other values (4) 15
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 464
80.0%
Uppercase Letter 116
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
49.1%
1 82
 
17.7%
2 59
 
12.7%
7 34
 
7.3%
5 31
 
6.7%
9 15
 
3.2%
8 5
 
1.1%
4 4
 
0.9%
3 4
 
0.9%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 29
25.0%
D 29
25.0%
F 29
25.0%
I 29
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
80.0%
Latin 116
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
49.1%
1 82
 
17.7%
2 59
 
12.7%
7 34
 
7.3%
5 31
 
6.7%
9 15
 
3.2%
8 5
 
1.1%
4 4
 
0.9%
3 4
 
0.9%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
C 29
25.0%
D 29
25.0%
F 29
25.0%
I 29
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
39.3%
1 82
 
14.1%
2 59
 
10.2%
7 34
 
5.9%
5 31
 
5.3%
C 29
 
5.0%
D 29
 
5.0%
F 29
 
5.0%
I 29
 
5.0%
9 15
 
2.6%
Other values (4) 15
 
2.6%

인허가일자
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099726
Minimum19871230
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:54:58.046797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19871230
5-th percentile19874984
Q120070307
median20140716
Q320180803
95-th percentile20191220
Maximum20210122
Range338892
Interquartile range (IQR)110496

Descriptive statistics

Standard deviation106814.05
Coefficient of variation (CV)0.0053142042
Kurtosis0.11362816
Mean20099726
Median Absolute Deviation (MAD)49686
Skewness-1.1940989
Sum5.8289206 × 108
Variance1.1409241 × 1010
MonotonicityNot monotonic
2024-04-17T23:54:58.147681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20191220 2
 
6.9%
19871230 2
 
6.9%
20110525 1
 
3.4%
20180803 1
 
3.4%
20151231 1
 
3.4%
20040504 1
 
3.4%
20121211 1
 
3.4%
20150520 1
 
3.4%
19930709 1
 
3.4%
20070307 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
19871230 2
6.9%
19880615 1
3.4%
19930709 1
3.4%
19940730 1
3.4%
19970110 1
3.4%
20040504 1
3.4%
20070307 1
3.4%
20110525 1
3.4%
20110603 1
3.4%
20110718 1
3.4%
ValueCountFrequency (%)
20210122 1
3.4%
20191220 2
6.9%
20190822 1
3.4%
20190813 1
3.4%
20190711 1
3.4%
20190402 1
3.4%
20180803 1
3.4%
20170713 1
3.4%
20161214 1
3.4%
20161111 1
3.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
17 
1
9 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 17
58.6%
1 9
31.0%
2 3
 
10.3%

Length

2024-04-17T23:54:58.249148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:58.322068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
58.6%
1 9
31.0%
2 3
 
10.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
17 
영업/정상
9 
휴업
3 

Length

Max length5
Median length2
Mean length2.9310345
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
58.6%
영업/정상 9
31.0%
휴업 3
 
10.3%

Length

2024-04-17T23:54:58.425669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:58.525089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
58.6%
영업/정상 9
31.0%
휴업 3
 
10.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
17 
13
9 
2
3 

Length

Max length2
Median length1
Mean length1.3103448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 17
58.6%
13 9
31.0%
2 3
 
10.3%

Length

2024-04-17T23:54:58.607135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:58.686165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
58.6%
13 9
31.0%
2 3
 
10.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
17 
영업중
9 
휴업
3 

Length

Max length3
Median length2
Mean length2.3103448
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
58.6%
영업중 9
31.0%
휴업 3
 
10.3%

Length

2024-04-17T23:54:58.772382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:58.850864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
58.6%
영업중 9
31.0%
휴업 3
 
10.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing14
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean20163357
Minimum20041112
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:54:58.927259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041112
5-th percentile20096630
Q120140816
median20180727
Q320190826
95-th percentile20203241
Maximum20210101
Range168989
Interquartile range (IQR)50009.5

Descriptive statistics

Standard deviation44040.104
Coefficient of variation (CV)0.0021841652
Kurtosis3.2345844
Mean20163357
Median Absolute Deviation (MAD)10175
Skewness-1.6938491
Sum3.0245036 × 108
Variance1.9395308 × 109
MonotonicityNot monotonic
2024-04-17T23:54:59.015134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20120424 1
 
3.4%
20141002 1
 
3.4%
20140630 1
 
3.4%
20120619 1
 
3.4%
20190902 1
 
3.4%
20170821 1
 
3.4%
20200301 1
 
3.4%
20190718 1
 
3.4%
20180727 1
 
3.4%
20041112 1
 
3.4%
Other values (5) 5
 
17.2%
(Missing) 14
48.3%
ValueCountFrequency (%)
20041112 1
3.4%
20120424 1
3.4%
20120619 1
3.4%
20140630 1
3.4%
20141002 1
3.4%
20170821 1
3.4%
20180524 1
3.4%
20180727 1
3.4%
20180826 1
3.4%
20190718 1
3.4%
ValueCountFrequency (%)
20210101 1
3.4%
20200301 1
3.4%
20190902 1
3.4%
20190826 1
3.4%
20190825 1
3.4%
20190718 1
3.4%
20180826 1
3.4%
20180727 1
3.4%
20180524 1
3.4%
20170821 1
3.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
26 
20190819
 
1
20210215
 
1
20210501
 
1

Length

Max length8
Median length4
Mean length4.4137931
Min length4

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
89.7%
20190819 1
 
3.4%
20210215 1
 
3.4%
20210501 1
 
3.4%

Length

2024-04-17T23:54:59.120956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:59.211500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
89.7%
20190819 1
 
3.4%
20210215 1
 
3.4%
20210501 1
 
3.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
26 
20210630
 
2
20211231
 
1

Length

Max length8
Median length4
Mean length4.4137931
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
89.7%
20210630 2
 
6.9%
20211231 1
 
3.4%

Length

2024-04-17T23:54:59.311705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:54:59.397426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
89.7%
20210630 2
 
6.9%
20211231 1
 
3.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지전화
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing15
Missing (%)51.7%
Memory size364.0 B
2024-04-17T23:54:59.522681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.857143
Min length8

Characters and Unicode

Total characters166
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row053-425-3165
2nd row053-476-9915
3rd row053-661-1042
4th row053-282-0167
5th row253-0127
ValueCountFrequency (%)
053-425-3165 1
 
7.1%
053-476-9915 1
 
7.1%
053-661-1042 1
 
7.1%
053-282-0167 1
 
7.1%
253-0127 1
 
7.1%
627-7008 1
 
7.1%
053-660-1221 1
 
7.1%
053-601-5355 1
 
7.1%
762.8400/2228.6729 1
 
7.1%
053-803-7930 1
 
7.1%
Other values (4) 4
28.6%
2024-04-17T23:54:59.769341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
16.3%
- 23
13.9%
2 22
13.3%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 12
7.2%
1 10
 
6.0%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
83.7%
Dash Punctuation 23
 
13.9%
Other Punctuation 3
 
1.8%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
19.4%
2 22
15.8%
5 19
13.7%
3 17
12.2%
6 17
12.2%
7 12
8.6%
1 10
 
7.2%
4 6
 
4.3%
8 5
 
3.6%
9 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
16.3%
- 23
13.9%
2 22
13.3%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 12
7.2%
1 10
 
6.0%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
16.3%
- 23
13.9%
2 22
13.3%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 12
7.2%
1 10
 
6.0%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)76.5%
Missing12
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean703383.59
Minimum700040
Maximum711860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:54:59.868006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700040
5-th percentile700081.6
Q1700822
median701843
Q3705804
95-th percentile707853.6
Maximum711860
Range11820
Interquartile range (IQR)4982

Descriptive statistics

Standard deviation3362.884
Coefficient of variation (CV)0.0047810101
Kurtosis0.70854826
Mean703383.59
Median Absolute Deviation (MAD)1751
Skewness1.079895
Sum11957521
Variance11308989
MonotonicityNot monotonic
2024-04-17T23:54:59.960313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
701843 3
 
10.3%
700822 2
 
6.9%
706830 2
 
6.9%
700739 1
 
3.4%
700040 1
 
3.4%
700092 1
 
3.4%
700400 1
 
3.4%
701170 1
 
3.4%
705804 1
 
3.4%
706852 1
 
3.4%
Other values (3) 3
 
10.3%
(Missing) 12
41.4%
ValueCountFrequency (%)
700040 1
 
3.4%
700092 1
 
3.4%
700400 1
 
3.4%
700739 1
 
3.4%
700822 2
6.9%
701170 1
 
3.4%
701843 3
10.3%
704816 1
 
3.4%
704915 1
 
3.4%
705804 1
 
3.4%
ValueCountFrequency (%)
711860 1
 
3.4%
706852 1
 
3.4%
706830 2
6.9%
705804 1
 
3.4%
704915 1
 
3.4%
704816 1
 
3.4%
701843 3
10.3%
701170 1
 
3.4%
700822 2
6.9%
700739 1
 
3.4%

소재지전체주소
Text

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T23:55:00.140438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.482759
Min length18

Characters and Unicode

Total characters652
Distinct characters80
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 (%)82.8%

Sample

1st row대구광역시 중구 삼덕동1가 15-1번지
2nd row대구광역시 중구 사일동 59번지 지하1층
3rd row대구광역시 중구 동성로2가 125번지 지하 1층
4th row대구광역시 중구 봉산동 2-2번지
5th row대구광역시 중구 공평동 58-6
ValueCountFrequency (%)
대구광역시 29
22.1%
중구 9
 
6.9%
동구 6
 
4.6%
북구 5
 
3.8%
효목동 4
 
3.1%
수성구 4
 
3.1%
봉산동 3
 
2.3%
산격동 3
 
2.3%
1676번지 3
 
2.3%
대구전시컨벤션센터 3
 
2.3%
Other values (58) 62
47.3%
2024-04-17T23:55:00.442508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
20.1%
구 61
 
9.4%
대 37
 
5.7%
동 34
 
5.2%
시 32
 
4.9%
1 31
 
4.8%
광 30
 
4.6%
역 29
 
4.4%
지 22
 
3.4%
번 17
 
2.6%
Other values (70) 228
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 398
61.0%
Space Separator 131
 
20.1%
Decimal Number 111
 
17.0%
Dash Punctuation 12
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 61
15.3%
대 37
 
9.3%
동 34
 
8.5%
시 32
 
8.0%
광 30
 
7.5%
역 29
 
7.3%
지 22
 
5.5%
번 17
 
4.3%
성 11
 
2.8%
중 9
 
2.3%
Other values (58) 116
29.1%
Decimal Number
ValueCountFrequency (%)
1 31
27.9%
5 17
15.3%
2 16
14.4%
6 14
12.6%
3 9
 
8.1%
4 8
 
7.2%
7 7
 
6.3%
0 4
 
3.6%
9 3
 
2.7%
8 2
 
1.8%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
61.0%
Common 254
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 61
15.3%
대 37
 
9.3%
동 34
 
8.5%
시 32
 
8.0%
광 30
 
7.5%
역 29
 
7.3%
지 22
 
5.5%
번 17
 
4.3%
성 11
 
2.8%
중 9
 
2.3%
Other values (58) 116
29.1%
Common
ValueCountFrequency (%)
131
51.6%
1 31
 
12.2%
5 17
 
6.7%
2 16
 
6.3%
6 14
 
5.5%
- 12
 
4.7%
3 9
 
3.5%
4 8
 
3.1%
7 7
 
2.8%
0 4
 
1.6%
Other values (2) 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 398
61.0%
ASCII 254
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
51.6%
1 31
 
12.2%
5 17
 
6.7%
2 16
 
6.3%
6 14
 
5.5%
- 12
 
4.7%
3 9
 
3.5%
4 8
 
3.1%
7 7
 
2.8%
0 4
 
1.6%
Other values (2) 5
 
2.0%
Hangul
ValueCountFrequency (%)
구 61
15.3%
대 37
 
9.3%
동 34
 
8.5%
시 32
 
8.0%
광 30
 
7.5%
역 29
 
7.3%
지 22
 
5.5%
번 17
 
4.3%
성 11
 
2.8%
중 9
 
2.3%
Other values (58) 116
29.1%

도로명전체주소
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing4
Missing (%)13.8%
Memory size364.0 B
2024-04-17T23:55:00.648167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length28.68
Min length21

Characters and Unicode

Total characters717
Distinct characters106
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

Unique21 ?
Unique (%)84.0%

Sample

1st row대구광역시 중구 동성로3길 35, 5층 (삼덕동1가)
2nd row대구광역시 중구 동성로 25 (사일동)
3rd row대구광역시 중구 동성로 17 (동성로2가)
4th row대구광역시 중구 동성로2길 9 (봉산동)
5th row대구광역시 중구 동성로6길 61, 7층 (공평동)
ValueCountFrequency (%)
대구광역시 25
 
17.2%
중구 8
 
5.5%
북구 5
 
3.4%
10 4
 
2.8%
동구 4
 
2.8%
수성구 4
 
2.8%
동성로2길 3
 
2.1%
봉산동 3
 
2.1%
엑스코로 3
 
2.1%
대구전시컨벤션센터 3
 
2.1%
Other values (71) 83
57.2%
2024-04-17T23:55:00.984696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.7%
구 56
 
7.8%
동 41
 
5.7%
대 35
 
4.9%
시 29
 
4.0%
역 27
 
3.8%
로 26
 
3.6%
광 26
 
3.6%
( 24
 
3.3%
) 24
 
3.3%
Other values (96) 309
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
61.4%
Space Separator 120
 
16.7%
Decimal Number 89
 
12.4%
Open Punctuation 24
 
3.3%
Close Punctuation 24
 
3.3%
Other Punctuation 14
 
2.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
 
12.7%
동 41
 
9.3%
대 35
 
8.0%
시 29
 
6.6%
역 27
 
6.1%
로 26
 
5.9%
광 26
 
5.9%
성 18
 
4.1%
중 9
 
2.0%
층 9
 
2.0%
Other values (81) 164
37.3%
Decimal Number
ValueCountFrequency (%)
1 22
24.7%
3 12
13.5%
2 11
12.4%
0 9
10.1%
6 8
 
9.0%
5 7
 
7.9%
9 6
 
6.7%
4 5
 
5.6%
7 5
 
5.6%
8 4
 
4.5%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
61.4%
Common 277
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
 
12.7%
동 41
 
9.3%
대 35
 
8.0%
시 29
 
6.6%
역 27
 
6.1%
로 26
 
5.9%
광 26
 
5.9%
성 18
 
4.1%
중 9
 
2.0%
층 9
 
2.0%
Other values (81) 164
37.3%
Common
ValueCountFrequency (%)
120
43.3%
( 24
 
8.7%
) 24
 
8.7%
1 22
 
7.9%
, 14
 
5.1%
3 12
 
4.3%
2 11
 
4.0%
0 9
 
3.2%
6 8
 
2.9%
5 7
 
2.5%
Other values (5) 26
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
61.4%
ASCII 277
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
43.3%
( 24
 
8.7%
) 24
 
8.7%
1 22
 
7.9%
, 14
 
5.1%
3 12
 
4.3%
2 11
 
4.0%
0 9
 
3.2%
6 8
 
2.9%
5 7
 
2.5%
Other values (5) 26
 
9.4%
Hangul
ValueCountFrequency (%)
구 56
 
12.7%
동 41
 
9.3%
대 35
 
8.0%
시 29
 
6.6%
역 27
 
6.1%
로 26
 
5.9%
광 26
 
5.9%
성 18
 
4.1%
중 9
 
2.0%
층 9
 
2.0%
Other values (81) 164
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing6
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean185500.96
Minimum41026
Maximum711860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:01.084809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41179
Q141515
median41942
Q342877.5
95-th percentile700813.7
Maximum711860
Range670834
Interquartile range (IQR)1362.5

Descriptive statistics

Standard deviation278728.9
Coefficient of variation (CV)1.5025739
Kurtosis0.16185832
Mean185500.96
Median Absolute Deviation (MAD)713
Skewness1.4680664
Sum4266522
Variance7.7689801 × 1010
MonotonicityNot monotonic
2024-04-17T23:55:01.171620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
41515 3
 
10.3%
41942 2
 
6.9%
41179 2
 
6.9%
700092 1
 
3.4%
41594 1
 
3.4%
42941 1
 
3.4%
711860 1
 
3.4%
42814 1
 
3.4%
42672 1
 
3.4%
42202 1
 
3.4%
Other values (9) 9
31.0%
(Missing) 6
20.7%
ValueCountFrequency (%)
41026 1
 
3.4%
41179 2
6.9%
41229 1
 
3.4%
41515 3
10.3%
41581 1
 
3.4%
41594 1
 
3.4%
41935 1
 
3.4%
41938 1
 
3.4%
41942 2
6.9%
42202 1
 
3.4%
ValueCountFrequency (%)
711860 1
3.4%
700822 1
3.4%
700739 1
3.4%
700092 1
3.4%
700040 1
3.4%
42941 1
3.4%
42814 1
3.4%
42672 1
3.4%
42250 1
3.4%
42202 1
3.4%

사업장명
Text

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T23:55:01.347812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.0689655
Min length4

Characters and Unicode

Total characters234
Distinct characters104
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)82.8%

Sample

1st row갤러리 어뮤즈먼트 타가디스코
2nd row플레이존
3rd row팡팡e랜드
4th row프랜드 디스코 팡팡
5th row(주)스파크랜드
ValueCountFrequency (%)
라이키즈 3
 
7.0%
주식회사 2
 
4.7%
플레이존 2
 
4.7%
어뮤즈먼트 1
 
2.3%
페스티벌 1
 
2.3%
에프에이엠 1
 
2.3%
타가디스코 1
 
2.3%
주)수성파크랜드 1
 
2.3%
2019 1
 
2.3%
대구스타디움 1
 
2.3%
Other values (29) 29
67.4%
2024-04-17T23:55:01.631554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
6.0%
랜 9
 
3.8%
드 9
 
3.8%
주 7
 
3.0%
이 7
 
3.0%
) 7
 
3.0%
대 7
 
3.0%
( 7
 
3.0%
팡 7
 
3.0%
구 6
 
2.6%
Other values (94) 154
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
82.9%
Space Separator 14
 
6.0%
Close Punctuation 7
 
3.0%
Open Punctuation 7
 
3.0%
Uppercase Letter 7
 
3.0%
Decimal Number 4
 
1.7%
Lowercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
랜 9
 
4.6%
드 9
 
4.6%
주 7
 
3.6%
이 7
 
3.6%
대 7
 
3.6%
팡 7
 
3.6%
구 6
 
3.1%
기 5
 
2.6%
스 5
 
2.6%
즈 5
 
2.6%
Other values (80) 127
65.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
28.6%
Z 1
14.3%
R 1
14.3%
A 1
14.3%
J 1
14.3%
I 1
14.3%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
1 1
25.0%
0 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
82.9%
Common 32
 
13.7%
Latin 8
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
랜 9
 
4.6%
드 9
 
4.6%
주 7
 
3.6%
이 7
 
3.6%
대 7
 
3.6%
팡 7
 
3.6%
구 6
 
3.1%
기 5
 
2.6%
스 5
 
2.6%
즈 5
 
2.6%
Other values (80) 127
65.5%
Common
ValueCountFrequency (%)
14
43.8%
) 7
21.9%
( 7
21.9%
9 1
 
3.1%
1 1
 
3.1%
0 1
 
3.1%
2 1
 
3.1%
Latin
ValueCountFrequency (%)
O 2
25.0%
e 1
12.5%
Z 1
12.5%
R 1
12.5%
A 1
12.5%
J 1
12.5%
I 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
82.9%
ASCII 40
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
35.0%
) 7
17.5%
( 7
17.5%
O 2
 
5.0%
9 1
 
2.5%
1 1
 
2.5%
e 1
 
2.5%
Z 1
 
2.5%
R 1
 
2.5%
A 1
 
2.5%
Other values (4) 4
 
10.0%
Hangul
ValueCountFrequency (%)
랜 9
 
4.6%
드 9
 
4.6%
주 7
 
3.6%
이 7
 
3.6%
대 7
 
3.6%
팡 7
 
3.6%
구 6
 
3.1%
기 5
 
2.6%
스 5
 
2.6%
즈 5
 
2.6%
Other values (80) 127
65.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183042 × 1013
Minimum2.0041115 × 1013
Maximum2.0210503 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:01.736449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041115 × 1013
5-th percentile2.0120502 × 1013
Q12.0180727 × 1013
median2.0200219 × 1013
Q32.0200913 × 1013
95-th percentile2.0210367 × 1013
Maximum2.0210503 × 1013
Range1.6938805 × 1011
Interquartile range (IQR)2.0186036 × 1010

Descriptive statistics

Standard deviation3.7635155 × 1010
Coefficient of variation (CV)0.0018646919
Kurtosis6.5178362
Mean2.0183042 × 1013
Median Absolute Deviation (MAD)9.8940394 × 109
Skewness-2.3836132
Sum5.8530821 × 1014
Variance1.4164049 × 1021
MonotonicityNot monotonic
2024-04-17T23:55:01.849353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20120424173818 1
 
3.4%
20141002173708 1
 
3.4%
20180524171004 1
 
3.4%
20210503162840 1
 
3.4%
20210219104758 1
 
3.4%
20200705164320 1
 
3.4%
20210408092021 1
 
3.4%
20210104140707 1
 
3.4%
20190828160348 1
 
3.4%
20200612135829 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
20041115111914 1
3.4%
20120424173818 1
3.4%
20120619174551 1
3.4%
20140709170600 1
3.4%
20141002173708 1
3.4%
20170821150817 1
3.4%
20180524171004 1
3.4%
20180727104246 1
3.4%
20180906141655 1
3.4%
20190718143520 1
3.4%
ValueCountFrequency (%)
20210503162840 1
3.4%
20210408092021 1
3.4%
20210304144741 1
3.4%
20210219104758 1
3.4%
20210122131906 1
3.4%
20210113173245 1
3.4%
20210104140707 1
3.4%
20200913140153 1
3.4%
20200913135638 1
3.4%
20200913135618 1
3.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
20 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
69.0%
I 9
31.0%

Length

2024-04-17T23:55:01.964135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:02.044311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
69.0%
i 9
31.0%

데이터갱신일자
Date

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2021-05-05 02:40:00
2024-04-17T23:55:02.116411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:55:02.210582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345120.38
Minimum333769.94
Maximum352335.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:02.297945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333769.94
5-th percentile340313.09
Q1343981.62
median345144.12
Q3347001.53
95-th percentile349326.56
Maximum352335.05
Range18565.107
Interquartile range (IQR)3019.9194

Descriptive statistics

Standard deviation3438.6437
Coefficient of variation (CV)0.0099636068
Kurtosis3.5122878
Mean345120.38
Median Absolute Deviation (MAD)1332.3322
Skewness-0.95281859
Sum10008491
Variance11824271
MonotonicityNot monotonic
2024-04-17T23:55:02.398299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
345549.11017 3
 
10.3%
344036.788219 2
 
6.9%
344203.891808 1
 
3.4%
342891.898366 1
 
3.4%
333769.937636 1
 
3.4%
346876.099778 1
 
3.4%
339826.919785 1
 
3.4%
341042.349189 1
 
3.4%
345658.22082 1
 
3.4%
347001.534778 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
333769.937636 1
3.4%
339826.919785 1
3.4%
341042.349189 1
3.4%
342891.898366 1
3.4%
343300.175269 1
3.4%
343811.78932 1
3.4%
343957.894411 1
3.4%
343981.615381 1
3.4%
344036.788219 2
6.9%
344047.164924 1
3.4%
ValueCountFrequency (%)
352335.045028 1
3.4%
349348.468608 1
3.4%
349293.701201 1
3.4%
349242.00975 1
3.4%
349172.945261 1
3.4%
347690.434441 1
3.4%
347037.24197 1
3.4%
347001.534778 1
3.4%
346876.099778 1
3.4%
345741.708282 1
3.4%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263649.96
Minimum255998.65
Maximum270271.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:02.489490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255998.65
5-th percentile257948.28
Q1261843.25
median264325.13
Q3265521.06
95-th percentile268620.85
Maximum270271.23
Range14272.576
Interquartile range (IQR)3677.809

Descriptive statistics

Standard deviation3486.299
Coefficient of variation (CV)0.013223211
Kurtosis-0.19850574
Mean263649.96
Median Absolute Deviation (MAD)1238.3522
Skewness-0.35679657
Sum7645848.9
Variance12154281
MonotonicityNot monotonic
2024-04-17T23:55:02.587834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
268620.845678 3
 
10.3%
264131.86156 2
 
6.9%
264147.064731 1
 
3.4%
258935.535051 1
 
3.4%
257925.256214 1
 
3.4%
255998.649989 1
 
3.4%
257982.809609 1
 
3.4%
261843.246105 1
 
3.4%
259727.589865 1
 
3.4%
261916.107428 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
255998.649989 1
3.4%
257925.256214 1
3.4%
257982.809609 1
3.4%
258935.535051 1
3.4%
259675.318096 1
3.4%
259727.589865 1
3.4%
260158.750204 1
3.4%
261843.246105 1
3.4%
261916.107428 1
3.4%
263145.386419 1
3.4%
ValueCountFrequency (%)
270271.225719 1
 
3.4%
268620.845678 3
10.3%
265743.409935 1
 
3.4%
265563.482461 1
 
3.4%
265536.440903 1
 
3.4%
265521.055084 1
 
3.4%
265495.648172 1
 
3.4%
265407.404337 1
 
3.4%
265132.987974 1
 
3.4%
264421.75276 1
 
3.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
허가유원시설업
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가유원시설업 29
100.0%

Length

2024-04-17T23:55:02.697189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:02.768881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 29
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
21 
유원시설업
8 

Length

Max length5
Median length4
Mean length4.2758621
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
72.4%
유원시설업 8
 
27.6%

Length

2024-04-17T23:55:02.843349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:02.917697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
72.4%
유원시설업 8
 
27.6%

지역구분명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
17 
중심상업지역
7 
자연녹지지역
3 
일반상업지역
2 

Length

Max length6
Median length4
Mean length4.8275862
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
58.6%
중심상업지역 7
24.1%
자연녹지지역 3
 
10.3%
일반상업지역 2
 
6.9%

Length

2024-04-17T23:55:03.009853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:03.099769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
58.6%
중심상업지역 7
24.1%
자연녹지지역 3
 
10.3%
일반상업지역 2
 
6.9%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing23
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean7.1666667
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:03.178883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q15.25
median7
Q38.75
95-th percentile12
Maximum13
Range11
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.7638633
Coefficient of variation (CV)0.52519022
Kurtosis0.39844983
Mean7.1666667
Median Absolute Deviation (MAD)2
Skewness0.31256996
Sum43
Variance14.166667
MonotonicityNot monotonic
2024-04-17T23:55:03.265121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 1
 
3.4%
2 1
 
3.4%
5 1
 
3.4%
13 1
 
3.4%
9 1
 
3.4%
6 1
 
3.4%
(Missing) 23
79.3%
ValueCountFrequency (%)
2 1
3.4%
5 1
3.4%
6 1
3.4%
8 1
3.4%
9 1
3.4%
13 1
3.4%
ValueCountFrequency (%)
13 1
3.4%
9 1
3.4%
8 1
3.4%
6 1
3.4%
5 1
3.4%
2 1
3.4%

주변환경명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
23 
기타
5 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.7931034
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
79.3%
기타 5
 
17.2%
학교정화(상대) 1
 
3.4%

Length

2024-04-17T23:55:03.369288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:03.465116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
79.3%
기타 5
 
17.2%
학교정화(상대 1
 
3.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

건물용도명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing25
Missing (%)86.2%
Memory size364.0 B
2024-04-17T23:55:03.549855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length3.25
Min length2

Characters and Unicode

Total characters13
Distinct characters10
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 (%)50.0%

Sample

1st row근린생활시설
2nd row유기장
3rd row기타
4th row기타
ValueCountFrequency (%)
기타 2
50.0%
근린생활시설 1
25.0%
유기장 1
25.0%
2024-04-17T23:55:03.762420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
23.1%
타 2
15.4%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
유 1
 
7.7%
장 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
23.1%
타 2
15.4%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
유 1
 
7.7%
장 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
23.1%
타 2
15.4%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
유 1
 
7.7%
장 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
23.1%
타 2
15.4%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
유 1
 
7.7%
장 1
 
7.7%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)60.0%
Missing19
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:03.851372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q38.5
95-th percentile9.55
Maximum10
Range9
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.2058973
Coefficient of variation (CV)0.58289043
Kurtosis-1.145779
Mean5.5
Median Absolute Deviation (MAD)3
Skewness-0.037936842
Sum55
Variance10.277778
MonotonicityNot monotonic
2024-04-17T23:55:03.937717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 2
 
6.9%
9 2
 
6.9%
4 2
 
6.9%
1 2
 
6.9%
7 1
 
3.4%
10 1
 
3.4%
(Missing) 19
65.5%
ValueCountFrequency (%)
1 2
6.9%
4 2
6.9%
5 2
6.9%
7 1
3.4%
9 2
6.9%
10 1
3.4%
ValueCountFrequency (%)
10 1
3.4%
9 2
6.9%
7 1
3.4%
5 2
6.9%
4 2
6.9%
1 2
6.9%

지하층수
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
22 
3
3 
2
 
1
4
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.2758621
Min length1

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row3
2nd row3
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
75.9%
3 3
 
10.3%
2 1
 
3.4%
4 1
 
3.4%
5 1
 
3.4%
1 1
 
3.4%

Length

2024-04-17T23:55:04.030276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:04.119212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
75.9%
3 3
 
10.3%
2 1
 
3.4%
4 1
 
3.4%
5 1
 
3.4%
1 1
 
3.4%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing18
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean1605.2009
Minimum233.35
Maximum8640.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:04.197264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum233.35
5-th percentile259.025
Q1324.65
median523.89
Q31220.98
95-th percentile6036.535
Maximum8640.63
Range8407.28
Interquartile range (IQR)896.33

Descriptive statistics

Standard deviation2508.4365
Coefficient of variation (CV)1.5626932
Kurtosis7.3007358
Mean1605.2009
Median Absolute Deviation (MAD)290.54
Skewness2.6488336
Sum17657.21
Variance6292253.6
MonotonicityNot monotonic
2024-04-17T23:55:04.275955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1013.51 1
 
3.4%
308.58 1
 
3.4%
437.43 1
 
3.4%
523.89 1
 
3.4%
284.7 1
 
3.4%
1255.36 1
 
3.4%
340.72 1
 
3.4%
3432.44 1
 
3.4%
1186.6 1
 
3.4%
233.35 1
 
3.4%
(Missing) 18
62.1%
ValueCountFrequency (%)
233.35 1
3.4%
284.7 1
3.4%
308.58 1
3.4%
340.72 1
3.4%
437.43 1
3.4%
523.89 1
3.4%
1013.51 1
3.4%
1186.6 1
3.4%
1255.36 1
3.4%
3432.44 1
3.4%
ValueCountFrequency (%)
8640.63 1
3.4%
3432.44 1
3.4%
1255.36 1
3.4%
1186.6 1
3.4%
1013.51 1
3.4%
523.89 1
3.4%
437.43 1
3.4%
340.72 1
3.4%
308.58 1
3.4%
284.7 1
3.4%

놀이기구수내역
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing9
Missing (%)31.0%
Memory size364.0 B
2024-04-17T23:55:04.670014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length30.5
Mean length24.5
Min length1

Characters and Unicode

Total characters490
Distinct characters99
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

Unique18 ?
Unique (%)90.0%

Sample

1st row1종 1대(타가다디스코)
2nd row1종 1대(타가다디스코)
3rd row타가다디스코(디스코팡팡) 1대
4th row7(회전관람차, 매직스윙, 티컵, 타워라이드, 미니바이킹, 패러슈터타워,사이버인스페이스), 3(로데오타기, 배터리카-1, 배터리카-2)
5th row타가다디스코 1대
ValueCountFrequency (%)
1대 6
 
6.9%
1종 5
 
5.7%
안전성검사 4
 
4.6%
안전성검사대상 4
 
4.6%
2종 3
 
3.4%
유기기구 3
 
3.4%
안전성확인검사대상 3
 
3.4%
대상 3
 
3.4%
3대 2
 
2.3%
3종 2
 
2.3%
Other values (48) 52
59.8%
2024-04-17T23:55:04.983307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
13.7%
대 32
 
6.5%
1 25
 
5.1%
, 24
 
4.9%
전 18
 
3.7%
종 17
 
3.5%
사 15
 
3.1%
상 14
 
2.9%
검 14
 
2.9%
성 14
 
2.9%
Other values (89) 250
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
64.3%
Space Separator 67
 
13.7%
Decimal Number 56
 
11.4%
Other Punctuation 28
 
5.7%
Close Punctuation 11
 
2.2%
Open Punctuation 11
 
2.2%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 32
 
10.2%
전 18
 
5.7%
종 17
 
5.4%
사 15
 
4.8%
상 14
 
4.4%
검 14
 
4.4%
성 14
 
4.4%
안 14
 
4.4%
기 11
 
3.5%
타 8
 
2.5%
Other values (73) 158
50.2%
Decimal Number
ValueCountFrequency (%)
1 25
44.6%
2 11
19.6%
3 6
 
10.7%
5 4
 
7.1%
0 3
 
5.4%
4 2
 
3.6%
7 2
 
3.6%
9 2
 
3.6%
8 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 24
85.7%
. 3
 
10.7%
' 1
 
3.6%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
64.3%
Common 175
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 32
 
10.2%
전 18
 
5.7%
종 17
 
5.4%
사 15
 
4.8%
상 14
 
4.4%
검 14
 
4.4%
성 14
 
4.4%
안 14
 
4.4%
기 11
 
3.5%
타 8
 
2.5%
Other values (73) 158
50.2%
Common
ValueCountFrequency (%)
67
38.3%
1 25
 
14.3%
, 24
 
13.7%
2 11
 
6.3%
) 11
 
6.3%
( 11
 
6.3%
3 6
 
3.4%
5 4
 
2.3%
. 3
 
1.7%
0 3
 
1.7%
Other values (6) 10
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
64.3%
ASCII 175
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
38.3%
1 25
 
14.3%
, 24
 
13.7%
2 11
 
6.3%
) 11
 
6.3%
( 11
 
6.3%
3 6
 
3.4%
5 4
 
2.3%
. 3
 
1.7%
0 3
 
1.7%
Other values (6) 10
 
5.7%
Hangul
ValueCountFrequency (%)
대 32
 
10.2%
전 18
 
5.7%
종 17
 
5.4%
사 15
 
4.8%
상 14
 
4.4%
검 14
 
4.4%
성 14
 
4.4%
안 14
 
4.4%
기 11
 
3.5%
타 8
 
2.5%
Other values (73) 158
50.2%

놀이시설수
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
24 
4
 
2
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.4827586
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
82.8%
4 2
 
6.9%
2 2
 
6.9%
3 1
 
3.4%

Length

2024-04-17T23:55:05.087083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:55:05.180684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
82.8%
4 2
 
6.9%
2 2
 
6.9%
3 1
 
3.4%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)8.3%
Missing5
Missing (%)17.2%
Memory size190.0 B
True
21 
False
3 
(Missing)
5 
ValueCountFrequency (%)
True 21
72.4%
False 3
 
10.3%
(Missing) 5
 
17.2%
2024-04-17T23:55:05.245298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)14.3%
Missing15
Missing (%)51.7%
Memory size190.0 B
True
9 
False
5 
(Missing)
15 
ValueCountFrequency (%)
True 9
31.0%
False 5
 
17.2%
(Missing) 15
51.7%
2024-04-17T23:55:05.308533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)12.5%
Missing13
Missing (%)44.8%
Memory size190.0 B
True
9 
False
7 
(Missing)
13 
ValueCountFrequency (%)
True 9
31.0%
False 7
24.1%
(Missing) 13
44.8%
2024-04-17T23:55:05.379910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)8.3%
Missing5
Missing (%)17.2%
Memory size190.0 B
True
20 
False
4 
(Missing)
5 
ValueCountFrequency (%)
True 20
69.0%
False 4
 
13.8%
(Missing) 5
 
17.2%
2024-04-17T23:55:05.441895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing18
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean1605.2727
Minimum233
Maximum8641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T23:55:05.515571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum233
5-th percentile259
Q1325
median524
Q31221
95-th percentile6036.5
Maximum8641
Range8408
Interquartile range (IQR)896

Descriptive statistics

Standard deviation2508.4778
Coefficient of variation (CV)1.562649
Kurtosis7.3018462
Mean1605.2727
Median Absolute Deviation (MAD)291
Skewness2.6490066
Sum17658
Variance6292461
MonotonicityNot monotonic
2024-04-17T23:55:05.594874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1014 1
 
3.4%
309 1
 
3.4%
437 1
 
3.4%
524 1
 
3.4%
285 1
 
3.4%
1255 1
 
3.4%
341 1
 
3.4%
3432 1
 
3.4%
1187 1
 
3.4%
233 1
 
3.4%
(Missing) 18
62.1%
ValueCountFrequency (%)
233 1
3.4%
285 1
3.4%
309 1
3.4%
341 1
3.4%
437 1
3.4%
524 1
3.4%
1014 1
3.4%
1187 1
3.4%
1255 1
3.4%
3432 1
3.4%
ValueCountFrequency (%)
8641 1
3.4%
3432 1
3.4%
1255 1
3.4%
1187 1
3.4%
1014 1
3.4%
524 1
3.4%
437 1
3.4%
341 1
3.4%
309 1
3.4%
285 1
3.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01일반유원시설업03_07_09_P3410000CDFI527100201100000120110525<NA>3폐업3폐업20120424<NA><NA><NA>053-425-3165<NA>700739대구광역시 중구 삼덕동1가 15-1번지대구광역시 중구 동성로3길 35, 5층 (삼덕동1가)700739갤러리 어뮤즈먼트 타가디스코20120424173818I2018-08-31 23:59:59.0<NA>344203.891808264147.064731허가유원시설업<NA>중심상업지역8기타<NA><NA><NA>53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1013.511종 1대(타가다디스코)<NA>Y<NA>YY<NA><NA><NA><NA><NA><NA>1014
12일반유원시설업03_07_09_P3410000CDFI527100201100000220110603<NA>3폐업3폐업20141002<NA><NA><NA><NA><NA>700040대구광역시 중구 사일동 59번지 지하1층대구광역시 중구 동성로 25 (사일동)700040플레이존20141002173708I2018-08-31 23:59:59.0<NA>343981.615381264421.75276허가유원시설업<NA>중심상업지역<NA><NA><NA><NA><NA>93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>308.581종 1대(타가다디스코)<NA>Y<NA>YY<NA><NA><NA><NA><NA><NA>309
23일반유원시설업03_07_09_P3410000CDFI527100201100000320110718<NA>3폐업3폐업20140630<NA><NA><NA><NA><NA>700092대구광역시 중구 동성로2가 125번지 지하 1층대구광역시 중구 동성로 17 (동성로2가)700092팡팡e랜드20140709170600I2018-08-31 23:59:59.0<NA>343957.894411264325.130247허가유원시설업<NA>중심상업지역<NA><NA><NA><NA><NA>72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>437.43<NA><NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>437
34일반유원시설업03_07_09_P3410000CDFI527100201200000120120110<NA>3폐업3폐업20120619<NA><NA><NA><NA><NA>700822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)700822프랜드 디스코 팡팡20120619174551I2018-08-31 23:59:59.0<NA>344036.788219264131.86156허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>523.89타가다디스코(디스코팡팡) 1대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>524
45일반유원시설업03_07_09_P3410000CDFI527100201900000220191220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 58-6대구광역시 중구 동성로6길 61, 7층 (공평동)41938(주)스파크랜드20200713100211U2020-07-15 02:40:00.0<NA>344316.555049264349.421644허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7(회전관람차, 매직스윙, 티컵, 타워라이드, 미니바이킹, 패러슈터타워,사이버인스페이스), 3(로데오타기, 배터리카-1, 배터리카-2)<NA>YYYY<NA><NA><NA><NA><NA><NA><NA>
56일반유원시설업03_07_09_P3410000CDFI527100201400000120141224<NA>3폐업3폐업20190902<NA><NA><NA><NA><NA>700400대구광역시 중구 봉산동 2-3번지 4층대구광역시 중구 동성로2길 21-5, 4층 (봉산동)41942플레이존20190902093028U2019-09-04 02:40:00.0<NA>344078.305569264134.456343허가유원시설업<NA>중심상업지역<NA><NA><NA><NA>근린생활시설4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>284.7타가다디스코 1대<NA>YYYY<NA><NA><NA><NA><NA><NA>285
67일반유원시설업03_07_09_P3410000CDFI527100201700000120170713<NA>3폐업3폐업20170821<NA><NA><NA>053-476-9915<NA><NA>대구광역시 중구 대봉동 655-1번지<NA><NA>신천둔치관리소20170821150817I2018-08-31 23:59:59.0<NA>345144.121523263145.386419허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78일반유원시설업03_07_09_P3410000CDFI527100201900000120190402<NA>3폐업3폐업20200301<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 135-1번지대구광역시 중구 중앙대로 403, 6-7층 (남일동)41935팡팡랜드20200323145044U2020-03-25 02:40:00.0<NA>343811.78932264364.470193허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1255.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1255
89일반유원시설업03_07_09_P3410000CDFI527100201300000120130613<NA>3폐업3폐업20190718<NA><NA><NA><NA><NA>700822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)41942야시디팡20190718143520U2019-07-20 02:40:00.0<NA>344036.788219264131.86156허가유원시설업<NA>중심상업지역2<NA><NA><NA>유기장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>340.72타가다 1대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>341
910일반유원시설업03_07_09_P3420000CDFI527100201600000120161214<NA>1영업/정상13영업중<NA><NA><NA><NA>053-661-1042<NA><NA>대구광역시 동구 신천동 1506대구광역시 동구 동부로 149, 9층 (신천동, 동대구역복합환승센터)41229주라지(ZOORAJI)20210113173245U2021-01-15 02:40:00.0<NA>347037.24197265407.404337허가유원시설업<NA>중심상업지역<NA>기타<NA><NA><NA>9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3432.44안전성검사 대상 유기기구 2종 2대(회전목마 1대, 무당벌레 모노레일 1대)<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>3432
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1920일반유원시설업03_07_09_P3450000CDFI527100201900000220190813<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 고성동3가 2번지대구광역시 북구 고성로 191 (고성동3가)41594에프에이엠 주식회사20191001152655U2019-10-03 02:40:00.0<NA>343300.175269265743.409935허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사대상 2종 2대, 안전성확인검사대상 2종 2대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2021일반유원시설업03_07_09_P3450000CDFI527100201900000120190711<NA>3폐업3폐업20190825<NA><NA><NA>053-601-5355<NA><NA>대구광역시 북구 산격동 1676번지 대구전시컨벤션센터대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 1층 3호 (산격동)41515라이키즈20190828154944U2019-08-30 02:40:00.0<NA>345549.11017268620.845678허가유원시설업<NA><NA>9<NA><NA><NA><NA>45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사대상 3종 3대, 안전성확인검사대상 5종 11대<NA>YYYY<NA><NA><NA><NA><NA><NA><NA>
2122일반유원시설업03_07_09_P3460000CDFI527100199400000119940730<NA>1영업/정상13영업중<NA><NA><NA><NA>762.8400/2228.6729<NA>706830대구광역시 수성구 상동 715번지 외3필지대구광역시 수성구 용학로 35-3 (상동,외3필지)<NA>(주)수성파크랜드20200612135829U2020-06-14 02:40:00.0<NA>345741.708282259675.318096허가유원시설업유원시설업자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>233.35<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>233
2223일반유원시설업03_07_09_P3460000CDFI527100201900000120190822<NA>3폐업3폐업20190826<NA><NA><NA><NA><NA><NA>대구광역시 수성구 대흥동 504번지 대구스타디움 동편광장대구광역시 수성구 유니버시아드로 180, 대구스타디움 동편광장 (대흥동)422502019 대구스타디움 워터 페스티벌20190828160348U2019-08-30 02:40:00.0<NA>352335.045028260158.750204허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1(포라인슬라이드)<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>
2324일반유원시설업03_07_09_P3460000CDFI527100200700000120070307<NA>3폐업3폐업20210101<NA><NA><NA>053-803-7930<NA>706852대구광역시 수성구 황금동 626대구광역시 수성구 동대구로 176 (황금동)<NA>대구광역시 어린이회관20210104140707U2021-01-06 02:40:00.0<NA>347001.534778261916.107428허가유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8640.63<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>8641
2425일반유원시설업03_07_09_P3460000CDFI527100199300000119930709<NA>1영업/정상13영업중<NA><NA><NA><NA>053-762-6622<NA>706830대구광역시 수성구 상동 723 외19필지대구광역시 수성구 용학로 35-5 (상동)42202(주)수성랜드20210408092021U2021-04-10 02:40:00.0<NA>345658.22082259727.589865허가유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNN<NA><NA><NA><NA><NA><NA><NA>
2526일반유원시설업03_07_09_P3470000CDFI527100201500000120150520<NA>2휴업2휴업<NA>2019081920210630<NA><NA><NA>704915대구광역시 달서구 성당동 169-13대구광역시 달서구 공원순환로 237 (성당동)42672대구시설공단(두류수영장)20200705164320U2020-07-07 02:40:00.0<NA>341042.349189261843.246105허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사대상 5종 안전성검사비대상 1종<NA>YY<NA>Y<NA><NA><NA><NA><NA><NA><NA>
2627일반유원시설업03_07_09_P3470000CDFI527100201200000120121211<NA>2휴업2휴업<NA>2021021520210630<NA>053-644-7000<NA>704816대구광역시 달서구 상인동 1558대구광역시 달서구 상인서로 8-6 (상인동)42814온천 엘리바덴20210219104758U2021-02-21 02:40:00.0<NA>339826.919785257982.809609허가유원시설업<NA>일반상업지역6학교정화(상대)<NA><NA><NA>51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상 4종(유수풀, 미끄럼틀, 아쿠아플레이,바디슬라이드)4Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>
2728일반유원시설업03_07_09_P3480000CDFI527100200400000120040504<NA>2휴업2휴업<NA>2021050120211231<NA>053)767-6300<NA>711860대구광역시 달성군 가창면 용계리 534-1대구광역시 달성군 가창면 가창로 1003711860허브랜드 주식회사20210503162840U2021-05-05 02:40:00.0<NA>346876.099778255998.649989허가유원시설업유원시설업자연녹지지역<NA>기타<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9종 9대(안전성검사 대상 유기기구), 12종 12대(안전성검사 비대상 유기기구)<NA>YYYY<NA><NA><NA><NA><NA><NA><NA>
2829일반유원시설업03_07_09_P3480000CDFI527100201500000120151231<NA>3폐업3폐업20180524<NA><NA><NA>053-521-2222<NA><NA>대구광역시 달성군 화원읍 성산리 274번지대구광역시 달성군 화원읍 사문진로1길 40-12 (화원동산관리소)42941동림기업20180524171004I2018-08-31 23:59:59.0<NA>333769.937636257925.256214허가유원시설업<NA>자연녹지지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상기구 1종 1대 , 안전성검사 비대상기구 4종 15대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>