Overview

Dataset statistics

Number of variables63
Number of observations36
Missing cells817
Missing cells (%)36.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory542.6 B

Variable types

Numeric9
Categorical20
Text9
DateTime6
Unsupported15
Boolean4

Dataset

Description23년06월_6270000_대구광역시_03_07_09_P_일반유원시설업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098782&dataSetDetailId=DDI_0000098798&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 is highly imbalanced (52.2%)Imbalance
방송시설유무 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 17 (47.2%) missing valuesMissing
휴업시작일자 has 34 (94.4%) missing valuesMissing
휴업종료일자 has 34 (94.4%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
소재지전화 has 21 (58.3%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
소재지우편번호 has 19 (52.8%) missing valuesMissing
도로명전체주소 has 4 (11.1%) missing valuesMissing
도로명우편번호 has 6 (16.7%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
총층수 has 14 (38.9%) missing valuesMissing
제작취급품목내용 has 36 (100.0%) missing valuesMissing
보험기관명 has 36 (100.0%) missing valuesMissing
건물용도명 has 31 (86.1%) missing valuesMissing
지상층수 has 11 (30.6%) missing valuesMissing
지하층수 has 13 (36.1%) missing valuesMissing
영문상호명 has 36 (100.0%) missing valuesMissing
영문상호주소 has 36 (100.0%) missing valuesMissing
선박제원 has 36 (100.0%) missing valuesMissing
기념품종류 has 36 (100.0%) missing valuesMissing
시설면적 has 10 (27.8%) missing valuesMissing
놀이기구수내역 has 9 (25.0%) missing valuesMissing
방송시설유무 has 7 (19.4%) missing valuesMissing
발전시설유무 has 17 (47.2%) missing valuesMissing
의무실유무 has 14 (38.9%) missing valuesMissing
안내소유무 has 6 (16.7%) missing valuesMissing
기획여행보험시작일자 has 36 (100.0%) missing valuesMissing
기획여행보험종료일자 has 36 (100.0%) missing valuesMissing
보험시작일자 has 36 (100.0%) missing valuesMissing
보험종료일자 has 36 (100.0%) missing valuesMissing
부대시설내역 has 36 (100.0%) missing valuesMissing
시설규모 has 10 (27.8%) 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
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
선박제원 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
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
총층수 has 13 (36.1%) zerosZeros
지상층수 has 15 (41.7%) zerosZeros
지하층수 has 16 (44.4%) zerosZeros
시설면적 has 13 (36.1%) zerosZeros
시설규모 has 13 (36.1%) zerosZeros

Reproduction

Analysis started2024-04-21 20:30:21.850551
Analysis finished2024-04-21 20:30:23.074143
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:23.245773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-04-22T05:30:23.660471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
일반유원시설업
36 

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 36
100.0%

Length

2024-04-22T05:30:24.076603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:24.389104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반유원시설업 36
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
03_07_09_P
36 

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 36
100.0%

Length

2024-04-22T05:30:24.715796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:25.029578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_09_p 36
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435277.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:25.304760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3430000
Q33450000
95-th percentile3472500
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23843.072
Coefficient of variation (CV)0.0069406532
Kurtosis-1.3808504
Mean3435277.8
Median Absolute Deviation (MAD)20000
Skewness0.3050257
Sum1.2367 × 108
Variance5.6849206 × 108
MonotonicityIncreasing
2024-04-22T05:30:25.672509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 12
33.3%
3450000 9
25.0%
3420000 6
16.7%
3460000 4
 
11.1%
3470000 2
 
5.6%
3480000 2
 
5.6%
3440000 1
 
2.8%
ValueCountFrequency (%)
3410000 12
33.3%
3420000 6
16.7%
3440000 1
 
2.8%
3450000 9
25.0%
3460000 4
 
11.1%
3470000 2
 
5.6%
3480000 2
 
5.6%
ValueCountFrequency (%)
3480000 2
 
5.6%
3470000 2
 
5.6%
3460000 4
 
11.1%
3450000 9
25.0%
3440000 1
 
2.8%
3420000 6
16.7%
3410000 12
33.3%

관리번호
Text

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-22T05:30:26.408193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters720
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

Unique18 ?
Unique (%)50.0%

Sample

1st rowCDFI5271002011000001
2nd rowCDFI5271002011000002
3rd rowCDFI5271002011000003
4th rowCDFI5271002012000001
5th rowCDFI5271002013000001
ValueCountFrequency (%)
cdfi5271002019000001 3
 
8.3%
cdfi5271002021000001 3
 
8.3%
cdfi5271002015000001 2
 
5.6%
cdfi5271002012000001 2
 
5.6%
cdfi5271002019000002 2
 
5.6%
cdfi5271002021000002 2
 
5.6%
cdfi5271002014000001 2
 
5.6%
cdfi5271002016000001 2
 
5.6%
cdfi5271001988000001 1
 
2.8%
cdfi5271002011000001 1
 
2.8%
Other values (16) 16
44.4%
2024-04-22T05:30:27.536307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 284
39.4%
1 97
 
13.5%
2 85
 
11.8%
7 41
 
5.7%
5 38
 
5.3%
C 36
 
5.0%
D 36
 
5.0%
F 36
 
5.0%
I 36
 
5.0%
9 15
 
2.1%
Other values (4) 16
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 576
80.0%
Uppercase Letter 144
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 284
49.3%
1 97
 
16.8%
2 85
 
14.8%
7 41
 
7.1%
5 38
 
6.6%
9 15
 
2.6%
3 5
 
0.9%
8 5
 
0.9%
4 4
 
0.7%
6 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 36
25.0%
D 36
25.0%
F 36
25.0%
I 36
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
80.0%
Latin 144
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 284
49.3%
1 97
 
16.8%
2 85
 
14.8%
7 41
 
7.1%
5 38
 
6.6%
9 15
 
2.6%
3 5
 
0.9%
8 5
 
0.9%
4 4
 
0.7%
6 2
 
0.3%
Latin
ValueCountFrequency (%)
C 36
25.0%
D 36
25.0%
F 36
25.0%
I 36
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 284
39.4%
1 97
 
13.5%
2 85
 
11.8%
7 41
 
5.7%
5 38
 
5.3%
C 36
 
5.0%
D 36
 
5.0%
F 36
 
5.0%
I 36
 
5.0%
9 15
 
2.1%
Other values (4) 16
 
2.2%

인허가일자
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum1987-12-30 00:00:00
Maximum2023-01-10 00:00:00
2024-04-22T05:30:27.758990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:27.973110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
3
21 
1
13 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
58.3%
1 13
36.1%
2 2
 
5.6%

Length

2024-04-22T05:30:28.189612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:28.368159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
58.3%
1 13
36.1%
2 2
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
폐업
21 
영업/정상
13 
휴업
 
2

Length

Max length5
Median length2
Mean length3.0833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
58.3%
영업/정상 13
36.1%
휴업 2
 
5.6%

Length

2024-04-22T05:30:28.563654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:28.746534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
58.3%
영업/정상 13
36.1%
휴업 2
 
5.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
3
21 
13
13 
2
 
2

Length

Max length2
Median length1
Mean length1.3611111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
58.3%
13 13
36.1%
2 2
 
5.6%

Length

2024-04-22T05:30:28.938261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:29.116321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
58.3%
13 13
36.1%
2 2
 
5.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
폐업
21 
영업중
13 
휴업
 
2

Length

Max length3
Median length2
Mean length2.3611111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
58.3%
영업중 13
36.1%
휴업 2
 
5.6%

Length

2024-04-22T05:30:29.301034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:29.483096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
58.3%
영업중 13
36.1%
휴업 2
 
5.6%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing17
Missing (%)47.2%
Memory size416.0 B
Minimum2004-11-12 00:00:00
Maximum2022-08-22 00:00:00
2024-04-22T05:30:29.643095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:29.824265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing34
Missing (%)94.4%
Memory size416.0 B
Minimum2021-05-31 00:00:00
Maximum2023-01-01 00:00:00
2024-04-22T05:30:29.994605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:30.170802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing34
Missing (%)94.4%
Memory size416.0 B
Minimum2023-12-31 00:00:00
Maximum2024-12-31 00:00:00
2024-04-22T05:30:30.322726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:30.483651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

소재지전화
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing21
Missing (%)58.3%
Memory size416.0 B
2024-04-22T05:30:31.049255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.866667
Min length8

Characters and Unicode

Total characters178
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

Unique15 ?
Unique (%)100.0%

Sample

1st row053-425-3165
2nd row053-285-8080
3rd row053-476-9915
4th row053-661-1042
5th row053-282-0167
ValueCountFrequency (%)
053-425-3165 1
 
6.7%
053-285-8080 1
 
6.7%
053-476-9915 1
 
6.7%
053-661-1042 1
 
6.7%
053-282-0167 1
 
6.7%
253-0127 1
 
6.7%
627-7008 1
 
6.7%
053-601-5355 1
 
6.7%
053-660-1770 1
 
6.7%
762.8400/2228.6729 1
 
6.7%
Other values (5) 5
33.3%
2024-04-22T05:30:32.120729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
17.4%
- 25
14.0%
5 21
11.8%
2 21
11.8%
3 18
10.1%
6 17
9.6%
7 14
7.9%
1 9
 
5.1%
8 8
 
4.5%
4 6
 
3.4%
Other values (4) 8
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 149
83.7%
Dash Punctuation 25
 
14.0%
Other Punctuation 3
 
1.7%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
20.8%
5 21
14.1%
2 21
14.1%
3 18
12.1%
6 17
11.4%
7 14
9.4%
1 9
 
6.0%
8 8
 
5.4%
4 6
 
4.0%
9 4
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
17.4%
- 25
14.0%
5 21
11.8%
2 21
11.8%
3 18
10.1%
6 17
9.6%
7 14
7.9%
1 9
 
5.1%
8 8
 
4.5%
4 6
 
3.4%
Other values (4) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
17.4%
- 25
14.0%
5 21
11.8%
2 21
11.8%
3 18
10.1%
6 17
9.6%
7 14
7.9%
1 9
 
5.1%
8 8
 
4.5%
4 6
 
3.4%
Other values (4) 8
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

소재지우편번호
Text

MISSING 

Distinct13
Distinct (%)76.5%
Missing19
Missing (%)52.8%
Memory size416.0 B
2024-04-22T05:30:32.713709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters119
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

Unique10 ?
Unique (%)58.8%

Sample

1st row700-739
2nd row700-040
3rd row700-092
4th row700-822
5th row700-822
ValueCountFrequency (%)
701-843 3
17.6%
700-822 2
11.8%
706-830 2
11.8%
700-739 1
 
5.9%
700-040 1
 
5.9%
700-092 1
 
5.9%
700-400 1
 
5.9%
701-170 1
 
5.9%
705-804 1
 
5.9%
706-852 1
 
5.9%
Other values (3) 3
17.6%
2024-04-22T05:30:33.406937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
26.9%
7 19
16.0%
- 17
14.3%
8 11
 
9.2%
1 9
 
7.6%
4 8
 
6.7%
3 6
 
5.0%
2 6
 
5.0%
6 5
 
4.2%
9 3
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
85.7%
Dash Punctuation 17
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
31.4%
7 19
18.6%
8 11
 
10.8%
1 9
 
8.8%
4 8
 
7.8%
3 6
 
5.9%
2 6
 
5.9%
6 5
 
4.9%
9 3
 
2.9%
5 3
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
26.9%
7 19
16.0%
- 17
14.3%
8 11
 
9.2%
1 9
 
7.6%
4 8
 
6.7%
3 6
 
5.0%
2 6
 
5.0%
6 5
 
4.2%
9 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
26.9%
7 19
16.0%
- 17
14.3%
8 11
 
9.2%
1 9
 
7.6%
4 8
 
6.7%
3 6
 
5.0%
2 6
 
5.0%
6 5
 
4.2%
9 3
 
2.5%

소재지전체주소
Text

Distinct30
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-22T05:30:34.146595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.805556
Min length18

Characters and Unicode

Total characters821
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

Unique27 ?
Unique (%)75.0%

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 봉산동 2-2번지
ValueCountFrequency (%)
대구광역시 36
22.1%
중구 12
 
7.4%
북구 9
 
5.5%
산격동 7
 
4.3%
대구전시컨벤션센터 7
 
4.3%
동구 6
 
3.7%
1676 4
 
2.5%
수성구 4
 
2.5%
효목동 4
 
2.5%
1676번지 3
 
1.8%
Other values (62) 71
43.6%
2024-04-22T05:30:35.399301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
19.9%
구 79
 
9.6%
대 48
 
5.8%
시 43
 
5.2%
동 41
 
5.0%
1 39
 
4.8%
광 37
 
4.5%
역 36
 
4.4%
6 22
 
2.7%
지 21
 
2.6%
Other values (70) 292
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
61.4%
Space Separator 163
 
19.9%
Decimal Number 139
 
16.9%
Dash Punctuation 15
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 79
15.7%
대 48
 
9.5%
시 43
 
8.5%
동 41
 
8.1%
광 37
 
7.3%
역 36
 
7.1%
지 21
 
4.2%
번 16
 
3.2%
산 12
 
2.4%
중 12
 
2.4%
Other values (58) 159
31.5%
Decimal Number
ValueCountFrequency (%)
1 39
28.1%
6 22
15.8%
5 19
13.7%
2 17
12.2%
3 13
 
9.4%
7 11
 
7.9%
4 8
 
5.8%
9 4
 
2.9%
0 4
 
2.9%
8 2
 
1.4%
Space Separator
ValueCountFrequency (%)
163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
61.4%
Common 317
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 79
15.7%
대 48
 
9.5%
시 43
 
8.5%
동 41
 
8.1%
광 37
 
7.3%
역 36
 
7.1%
지 21
 
4.2%
번 16
 
3.2%
산 12
 
2.4%
중 12
 
2.4%
Other values (58) 159
31.5%
Common
ValueCountFrequency (%)
163
51.4%
1 39
 
12.3%
6 22
 
6.9%
5 19
 
6.0%
2 17
 
5.4%
- 15
 
4.7%
3 13
 
4.1%
7 11
 
3.5%
4 8
 
2.5%
9 4
 
1.3%
Other values (2) 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
61.4%
ASCII 317
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
51.4%
1 39
 
12.3%
6 22
 
6.9%
5 19
 
6.0%
2 17
 
5.4%
- 15
 
4.7%
3 13
 
4.1%
7 11
 
3.5%
4 8
 
2.5%
9 4
 
1.3%
Other values (2) 6
 
1.9%
Hangul
ValueCountFrequency (%)
구 79
15.7%
대 48
 
9.5%
시 43
 
8.5%
동 41
 
8.1%
광 37
 
7.3%
역 36
 
7.1%
지 21
 
4.2%
번 16
 
3.2%
산 12
 
2.4%
중 12
 
2.4%
Other values (58) 159
31.5%

도로명전체주소
Text

MISSING 

Distinct27
Distinct (%)84.4%
Missing4
Missing (%)11.1%
Memory size416.0 B
2024-04-22T05:30:36.220114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length29.0625
Min length21

Characters and Unicode

Total characters930
Distinct characters107
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 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 동성로2길 9 (봉산동)
ValueCountFrequency (%)
대구광역시 32
 
17.1%
중구 11
 
5.9%
북구 9
 
4.8%
10 8
 
4.3%
엑스코로 7
 
3.7%
대구전시컨벤션센터 7
 
3.7%
산격동 7
 
3.7%
1층 5
 
2.7%
동구 4
 
2.1%
수성구 4
 
2.1%
Other values (75) 93
49.7%
2024-04-22T05:30:37.300913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
16.7%
구 74
 
8.0%
동 50
 
5.4%
대 46
 
4.9%
시 40
 
4.3%
역 34
 
3.7%
로 33
 
3.5%
광 33
 
3.5%
) 31
 
3.3%
( 31
 
3.3%
Other values (97) 403
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
62.2%
Space Separator 155
 
16.7%
Decimal Number 110
 
11.8%
Close Punctuation 31
 
3.3%
Open Punctuation 31
 
3.3%
Other Punctuation 18
 
1.9%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 74
 
12.8%
동 50
 
8.7%
대 46
 
8.0%
시 40
 
6.9%
역 34
 
5.9%
로 33
 
5.7%
광 33
 
5.7%
성 21
 
3.6%
중 12
 
2.1%
길 11
 
1.9%
Other values (82) 224
38.8%
Decimal Number
ValueCountFrequency (%)
1 29
26.4%
3 16
14.5%
2 15
13.6%
0 14
12.7%
6 9
 
8.2%
5 7
 
6.4%
9 6
 
5.5%
4 5
 
4.5%
7 5
 
4.5%
8 4
 
3.6%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
62.2%
Common 352
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 74
 
12.8%
동 50
 
8.7%
대 46
 
8.0%
시 40
 
6.9%
역 34
 
5.9%
로 33
 
5.7%
광 33
 
5.7%
성 21
 
3.6%
중 12
 
2.1%
길 11
 
1.9%
Other values (82) 224
38.8%
Common
ValueCountFrequency (%)
155
44.0%
) 31
 
8.8%
( 31
 
8.8%
1 29
 
8.2%
, 18
 
5.1%
3 16
 
4.5%
2 15
 
4.3%
0 14
 
4.0%
6 9
 
2.6%
5 7
 
2.0%
Other values (5) 27
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
62.2%
ASCII 352
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
44.0%
) 31
 
8.8%
( 31
 
8.8%
1 29
 
8.2%
, 18
 
5.1%
3 16
 
4.5%
2 15
 
4.3%
0 14
 
4.0%
6 9
 
2.6%
5 7
 
2.0%
Other values (5) 27
 
7.7%
Hangul
ValueCountFrequency (%)
구 74
 
12.8%
동 50
 
8.7%
대 46
 
8.0%
시 40
 
6.9%
역 34
 
5.9%
로 33
 
5.7%
광 33
 
5.7%
성 21
 
3.6%
중 12
 
2.1%
길 11
 
1.9%
Other values (82) 224
38.8%

도로명우편번호
Text

MISSING 

Distinct19
Distinct (%)63.3%
Missing6
Missing (%)16.7%
Memory size416.0 B
2024-04-22T05:30:37.771288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3333333
Min length5

Characters and Unicode

Total characters160
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

Unique14 ?
Unique (%)46.7%

Sample

1st row700-739
2nd row700-040
3rd row700-092
4th row700-822
5th row41942
ValueCountFrequency (%)
41515 7
23.3%
41942 3
 
10.0%
41935 2
 
6.7%
41938 2
 
6.7%
41179 2
 
6.7%
42250 1
 
3.3%
700-739 1
 
3.3%
41594 1
 
3.3%
42941 1
 
3.3%
42672 1
 
3.3%
Other values (9) 9
30.0%
2024-04-22T05:30:38.473588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34
21.2%
4 32
20.0%
5 19
11.9%
2 18
11.2%
0 15
9.4%
9 14
8.8%
7 9
 
5.6%
8 6
 
3.8%
3 5
 
3.1%
- 5
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 155
96.9%
Dash Punctuation 5
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
21.9%
4 32
20.6%
5 19
12.3%
2 18
11.6%
0 15
9.7%
9 14
9.0%
7 9
 
5.8%
8 6
 
3.9%
3 5
 
3.2%
6 3
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34
21.2%
4 32
20.0%
5 19
11.9%
2 18
11.2%
0 15
9.4%
9 14
8.8%
7 9
 
5.6%
8 6
 
3.8%
3 5
 
3.1%
- 5
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34
21.2%
4 32
20.0%
5 19
11.9%
2 18
11.2%
0 15
9.4%
9 14
8.8%
7 9
 
5.6%
8 6
 
3.8%
3 5
 
3.1%
- 5
 
3.1%

사업장명
Text

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-22T05:30:39.190050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.4722222
Min length4

Characters and Unicode

Total characters305
Distinct characters113
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

Unique31 ?
Unique (%)86.1%

Sample

1st row갤러리 어뮤즈먼트 타가디스코
2nd row플레이존
3rd row팡팡e랜드
4th row프랜드 디스코 팡팡
5th row야시디팡
ValueCountFrequency (%)
상상체험 4
 
6.8%
키즈월드 4
 
6.8%
라이키즈 3
 
5.1%
엑스코 3
 
5.1%
주식회사 2
 
3.4%
플레이존 2
 
3.4%
시즌4 1
 
1.7%
롯데백화점 1
 
1.7%
주)수성랜드 1
 
1.7%
대구광역시 1
 
1.7%
Other values (37) 37
62.7%
2024-04-22T05:30:40.150368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
7.5%
드 13
 
4.3%
팡 10
 
3.3%
상 10
 
3.3%
랜 9
 
3.0%
즈 9
 
3.0%
대 8
 
2.6%
이 8
 
2.6%
키 8
 
2.6%
스 8
 
2.6%
Other values (103) 199
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
82.6%
Space Separator 23
 
7.5%
Uppercase Letter 8
 
2.6%
Open Punctuation 7
 
2.3%
Close Punctuation 7
 
2.3%
Decimal Number 6
 
2.0%
Lowercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 13
 
5.2%
팡 10
 
4.0%
상 10
 
4.0%
랜 9
 
3.6%
즈 9
 
3.6%
대 8
 
3.2%
이 8
 
3.2%
키 8
 
3.2%
스 8
 
3.2%
구 7
 
2.8%
Other values (86) 162
64.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
O 2
25.0%
A 1
12.5%
R 1
12.5%
Z 1
12.5%
J 1
12.5%
Decimal Number
ValueCountFrequency (%)
4 1
16.7%
3 1
16.7%
1 1
16.7%
9 1
16.7%
2 1
16.7%
0 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
82.6%
Common 43
 
14.1%
Latin 10
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 13
 
5.2%
팡 10
 
4.0%
상 10
 
4.0%
랜 9
 
3.6%
즈 9
 
3.6%
대 8
 
3.2%
이 8
 
3.2%
키 8
 
3.2%
스 8
 
3.2%
구 7
 
2.8%
Other values (86) 162
64.3%
Common
ValueCountFrequency (%)
23
53.5%
( 7
 
16.3%
) 7
 
16.3%
4 1
 
2.3%
3 1
 
2.3%
1 1
 
2.3%
9 1
 
2.3%
2 1
 
2.3%
0 1
 
2.3%
Latin
ValueCountFrequency (%)
I 2
20.0%
O 2
20.0%
e 1
10.0%
A 1
10.0%
R 1
10.0%
Z 1
10.0%
n 1
10.0%
J 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
82.6%
ASCII 53
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
43.4%
( 7
 
13.2%
) 7
 
13.2%
I 2
 
3.8%
O 2
 
3.8%
e 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
1 1
 
1.9%
9 1
 
1.9%
Other values (7) 7
 
13.2%
Hangul
ValueCountFrequency (%)
드 13
 
5.2%
팡 10
 
4.0%
상 10
 
4.0%
랜 9
 
3.6%
즈 9
 
3.6%
대 8
 
3.2%
이 8
 
3.2%
키 8
 
3.2%
스 8
 
3.2%
구 7
 
2.8%
Other values (86) 162
64.3%

최종수정시점
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2004-11-15 11:19:14
Maximum2023-06-23 15:57:26
2024-04-22T05:30:40.359418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:40.579508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
U
28 
I
8 

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 28
77.8%
I 8
 
22.2%

Length

2024-04-22T05:30:40.804568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:40.979437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
77.8%
i 8
 
22.2%

데이터갱신일자
Date

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2018-08-31 23:59:59
Maximum2023-06-25 02:40:00
2024-04-22T05:30:41.140953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:30:41.344018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

좌표정보(X)
Real number (ℝ)

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345079.58
Minimum333769.94
Maximum352335.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:41.568498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333769.94
5-th percentile340738.49
Q1344034.84
median345346.62
Q3346025.31
95-th percentile349307.39
Maximum352335.05
Range18565.107
Interquartile range (IQR)1990.4696

Descriptive statistics

Standard deviation3094.8148
Coefficient of variation (CV)0.0089684089
Kurtosis4.681793
Mean345079.58
Median Absolute Deviation (MAD)1329.5197
Skewness-0.99250993
Sum12422865
Variance9577878.7
MonotonicityNot monotonic
2024-04-22T05:30:41.789428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
345549.110170479 7
 
19.4%
344054.483930599 2
 
5.6%
344203.891808536 1
 
2.8%
347690.434441289 1
 
2.8%
346876.099777909 1
 
2.8%
333769.937636006 1
 
2.8%
341042.349189365 1
 
2.8%
339826.919784669 1
 
2.8%
345658.220819521 1
 
2.8%
347001.534778634 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
333769.937636006 1
2.8%
339826.919784669 1
2.8%
341042.349189365 1
2.8%
342891.898365987 1
2.8%
343300.17526856 1
2.8%
343800.630256577 1
2.8%
343823.520010758 1
2.8%
343957.894411338 1
2.8%
343981.615381126 1
2.8%
344052.576927614 1
2.8%
ValueCountFrequency (%)
352335.045028381 1
2.8%
349348.468608607 1
2.8%
349293.701201286 1
2.8%
349242.009750179 1
2.8%
349172.945261031 1
2.8%
347690.434441289 1
2.8%
347037.241970286 1
2.8%
347001.534778634 1
2.8%
346876.099777909 1
2.8%
345741.708281748 1
2.8%

좌표정보(Y)
Real number (ℝ)

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264256.34
Minimum255998.65
Maximum270271.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:42.003691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255998.65
5-th percentile257968.42
Q1262838.07
median264364.33
Q3265608.46
95-th percentile268620.85
Maximum270271.23
Range14272.576
Interquartile range (IQR)2770.3977

Descriptive statistics

Standard deviation3494.0295
Coefficient of variation (CV)0.013222122
Kurtosis-0.16163142
Mean264256.34
Median Absolute Deviation (MAD)1299.0118
Skewness-0.48731599
Sum9513228.2
Variance12208242
MonotonicityNot monotonic
2024-04-22T05:30:42.218869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
268620.845678103 7
 
19.4%
264116.191982612 2
 
5.6%
264147.064731126 1
 
2.8%
270271.225719383 1
 
2.8%
255998.649989061 1
 
2.8%
257925.256214078 1
 
2.8%
261843.246104839 1
 
2.8%
257982.809608794 1
 
2.8%
259727.589864564 1
 
2.8%
261916.107427557 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
255998.649989061 1
2.8%
257925.256214078 1
2.8%
257982.809608794 1
2.8%
258935.535050984 1
2.8%
259675.318095648 1
2.8%
259727.589864564 1
2.8%
260158.750203679 1
2.8%
261843.246104839 1
2.8%
261916.107427557 1
2.8%
263145.38641925 1
2.8%
ValueCountFrequency (%)
270271.225719383 1
 
2.8%
268620.845678103 7
19.4%
265743.409935493 1
 
2.8%
265563.482460945 1
 
2.8%
265536.440903395 1
 
2.8%
265521.055083959 1
 
2.8%
265495.648171668 1
 
2.8%
265407.404336831 1
 
2.8%
265131.653371228 1
 
2.8%
264495.005513395 1
 
2.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
허가유원시설업
36 

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 36
100.0%

Length

2024-04-22T05:30:42.447709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:42.616275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 36
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
28 
유원시설업
8 

Length

Max length5
Median length4
Mean length4.2222222
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> 28
77.8%
유원시설업 8
 
22.2%

Length

2024-04-22T05:30:42.791645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:42.972118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
77.8%
유원시설업 8
 
22.2%

지역구분명
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
22 
중심상업지역
9 
자연녹지지역
3 
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
61.1%
중심상업지역 9
25.0%
자연녹지지역 3
 
8.3%
일반상업지역 2
 
5.6%

Length

2024-04-22T05:30:43.169283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:43.372872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
61.1%
중심상업지역 9
25.0%
자연녹지지역 3
 
8.3%
일반상업지역 2
 
5.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)36.4%
Missing14
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean2.0909091
Minimum0
Maximum13
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:43.549124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile8.95
Maximum13
Range13
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.6892262
Coefficient of variation (CV)1.7644125
Kurtosis2.7546843
Mean2.0909091
Median Absolute Deviation (MAD)0
Skewness1.8736216
Sum46
Variance13.61039
MonotonicityNot monotonic
2024-04-22T05:30:43.746238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
8 1
 
2.8%
2 1
 
2.8%
9 1
 
2.8%
13 1
 
2.8%
5 1
 
2.8%
6 1
 
2.8%
(Missing) 14
38.9%
ValueCountFrequency (%)
0 13
36.1%
1 3
 
8.3%
2 1
 
2.8%
5 1
 
2.8%
6 1
 
2.8%
8 1
 
2.8%
9 1
 
2.8%
13 1
 
2.8%
ValueCountFrequency (%)
13 1
 
2.8%
9 1
 
2.8%
8 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
2 1
 
2.8%
1 3
 
8.3%
0 13
36.1%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
30 
기타
5 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8333333
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
기타 5
 
13.9%
학교정화(상대) 1
 
2.8%

Length

2024-04-22T05:30:43.970249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:44.162576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
기타 5
 
13.9%
학교정화(상대 1
 
2.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

건물용도명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing31
Missing (%)86.1%
Memory size416.0 B
2024-04-22T05:30:44.540014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.4
Min length2

Characters and Unicode

Total characters17
Distinct characters14
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

Unique3 ?
Unique (%)60.0%

Sample

1st row유기장
2nd row단독주택
3rd row근린생활시설
4th row기타
5th row기타
ValueCountFrequency (%)
기타 2
40.0%
유기장 1
20.0%
단독주택 1
20.0%
근린생활시설 1
20.0%
2024-04-22T05:30:45.168329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
단 1
 
5.9%
독 1
 
5.9%
주 1
 
5.9%
택 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
Other values (4) 4
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
단 1
 
5.9%
독 1
 
5.9%
주 1
 
5.9%
택 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
Other values (4) 4
23.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
단 1
 
5.9%
독 1
 
5.9%
주 1
 
5.9%
택 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
Other values (4) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
단 1
 
5.9%
독 1
 
5.9%
주 1
 
5.9%
택 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
Other values (4) 4
23.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)28.0%
Missing11
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum0
Maximum10
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:45.359391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3788558
Coefficient of variation (CV)1.5358436
Kurtosis0.2841579
Mean2.2
Median Absolute Deviation (MAD)0
Skewness1.2989849
Sum55
Variance11.416667
MonotonicityNot monotonic
2024-04-22T05:30:45.549161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
41.7%
5 2
 
5.6%
9 2
 
5.6%
4 2
 
5.6%
1 2
 
5.6%
7 1
 
2.8%
10 1
 
2.8%
(Missing) 11
30.6%
ValueCountFrequency (%)
0 15
41.7%
1 2
 
5.6%
4 2
 
5.6%
5 2
 
5.6%
7 1
 
2.8%
9 2
 
5.6%
10 1
 
2.8%
ValueCountFrequency (%)
10 1
 
2.8%
9 2
 
5.6%
7 1
 
2.8%
5 2
 
5.6%
4 2
 
5.6%
1 2
 
5.6%
0 15
41.7%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing13
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean0.91304348
Minimum0
Maximum5
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:45.736969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile3.9
Maximum5
Range5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.564174
Coefficient of variation (CV)1.713143
Kurtosis0.92632101
Mean0.91304348
Median Absolute Deviation (MAD)0
Skewness1.4837185
Sum21
Variance2.4466403
MonotonicityNot monotonic
2024-04-22T05:30:45.923717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
44.4%
3 3
 
8.3%
2 1
 
2.8%
5 1
 
2.8%
4 1
 
2.8%
1 1
 
2.8%
(Missing) 13
36.1%
ValueCountFrequency (%)
0 16
44.4%
1 1
 
2.8%
2 1
 
2.8%
3 3
 
8.3%
4 1
 
2.8%
5 1
 
2.8%
ValueCountFrequency (%)
5 1
 
2.8%
4 1
 
2.8%
3 3
 
8.3%
2 1
 
2.8%
1 1
 
2.8%
0 16
44.4%

객실수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:46.145674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:46.332133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

건축연면적
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:46.529865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:46.716344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:46.915112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:47.102709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

선박척수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:47.300340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:47.488062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

무대면적
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:47.685853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:47.876045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

좌석수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:48.073719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:48.261387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:48.457119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:48.644002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)53.8%
Missing10
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean880.98115
Minimum0
Maximum8640.63
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:48.811084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116.675
Q3891.105
95-th percentile3762.11
Maximum8640.63
Range8640.63
Interquartile range (IQR)891.105

Descriptive statistics

Standard deviation1875.8803
Coefficient of variation (CV)2.129308
Kurtosis12.03475
Mean880.98115
Median Absolute Deviation (MAD)116.675
Skewness3.2885093
Sum22905.51
Variance3518926.8
MonotonicityNot monotonic
2024-04-22T05:30:49.000001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 13
36.1%
1013.51 1
 
2.8%
308.58 1
 
2.8%
437.43 1
 
2.8%
523.89 1
 
2.8%
340.72 1
 
2.8%
1376.3 1
 
2.8%
1255.36 1
 
2.8%
284.7 1
 
2.8%
3432.44 1
 
2.8%
Other values (4) 4
 
11.1%
(Missing) 10
27.8%
ValueCountFrequency (%)
0.0 13
36.1%
233.35 1
 
2.8%
284.7 1
 
2.8%
308.58 1
 
2.8%
340.72 1
 
2.8%
437.43 1
 
2.8%
523.89 1
 
2.8%
1013.51 1
 
2.8%
1186.6 1
 
2.8%
1255.36 1
 
2.8%
ValueCountFrequency (%)
8640.63 1
2.8%
3872.0 1
2.8%
3432.44 1
2.8%
1376.3 1
2.8%
1255.36 1
2.8%
1186.6 1
2.8%
1013.51 1
2.8%
523.89 1
2.8%
437.43 1
2.8%
340.72 1
2.8%

놀이기구수내역
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing9
Missing (%)25.0%
Memory size416.0 B
2024-04-22T05:30:49.782625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length31
Mean length21.962963
Min length1

Characters and Unicode

Total characters593
Distinct characters98
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

Unique25 ?
Unique (%)92.6%

Sample

1st row1종 1대(타가다디스코)
2nd row1종 1대(타가다디스코)
3rd row타가다디스코(디스코팡팡) 1대
4th row타가다 1대
5th row2개
ValueCountFrequency (%)
대상 9
 
7.9%
안전성검사 7
 
6.1%
1종 7
 
6.1%
1대 6
 
5.3%
안전성검사대상 4
 
3.5%
확인검사 4
 
3.5%
2대 4
 
3.5%
2종 3
 
2.6%
안전성확인검사대상 3
 
2.6%
8종 3
 
2.6%
Other values (55) 64
56.1%
2024-04-22T05:30:50.800342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
14.7%
대 42
 
7.1%
1 32
 
5.4%
종 26
 
4.4%
, 25
 
4.2%
전 22
 
3.7%
검 22
 
3.7%
사 22
 
3.7%
상 20
 
3.4%
안 19
 
3.2%
Other values (88) 276
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
62.6%
Space Separator 87
 
14.7%
Decimal Number 74
 
12.5%
Other Punctuation 35
 
5.9%
Open Punctuation 12
 
2.0%
Close Punctuation 12
 
2.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 42
 
11.3%
종 26
 
7.0%
전 22
 
5.9%
검 22
 
5.9%
사 22
 
5.9%
상 20
 
5.4%
안 19
 
5.1%
성 18
 
4.9%
기 10
 
2.7%
인 9
 
2.4%
Other values (70) 161
43.4%
Decimal Number
ValueCountFrequency (%)
1 32
43.2%
2 15
20.3%
3 6
 
8.1%
0 4
 
5.4%
7 4
 
5.4%
5 4
 
5.4%
8 3
 
4.1%
6 2
 
2.7%
4 2
 
2.7%
9 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 25
71.4%
: 6
 
17.1%
. 3
 
8.6%
' 1
 
2.9%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
62.6%
Common 222
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 42
 
11.3%
종 26
 
7.0%
전 22
 
5.9%
검 22
 
5.9%
사 22
 
5.9%
상 20
 
5.4%
안 19
 
5.1%
성 18
 
4.9%
기 10
 
2.7%
인 9
 
2.4%
Other values (70) 161
43.4%
Common
ValueCountFrequency (%)
87
39.2%
1 32
 
14.4%
, 25
 
11.3%
2 15
 
6.8%
( 12
 
5.4%
) 12
 
5.4%
3 6
 
2.7%
: 6
 
2.7%
0 4
 
1.8%
7 4
 
1.8%
Other values (8) 19
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
62.6%
ASCII 222
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
39.2%
1 32
 
14.4%
, 25
 
11.3%
2 15
 
6.8%
( 12
 
5.4%
) 12
 
5.4%
3 6
 
2.7%
: 6
 
2.7%
0 4
 
1.8%
7 4
 
1.8%
Other values (8) 19
 
8.6%
Hangul
ValueCountFrequency (%)
대 42
 
11.3%
종 26
 
7.0%
전 22
 
5.9%
검 22
 
5.9%
사 22
 
5.9%
상 20
 
5.4%
안 19
 
5.1%
성 18
 
4.9%
기 10
 
2.7%
인 9
 
2.4%
Other values (70) 161
43.4%

놀이시설수
Categorical

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
17 
0
13 
4
2 
2
2 
3
 
1

Length

Max length4
Median length1
Mean length2.4166667
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
47.2%
0 13
36.1%
4 2
 
5.6%
2 2
 
5.6%
3 1
 
2.8%
7 1
 
2.8%

Length

2024-04-22T05:30:51.036764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:51.247118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
47.2%
0 13
36.1%
4 2
 
5.6%
2 2
 
5.6%
3 1
 
2.8%
7 1
 
2.8%

방송시설유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)6.9%
Missing7
Missing (%)19.4%
Memory size200.0 B
True
26 
False
3 
(Missing)
7 
ValueCountFrequency (%)
True 26
72.2%
False 3
 
8.3%
(Missing) 7
 
19.4%
2024-04-22T05:30:51.688412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)10.5%
Missing17
Missing (%)47.2%
Memory size200.0 B
True
14 
False
5 
(Missing)
17 
ValueCountFrequency (%)
True 14
38.9%
False 5
 
13.9%
(Missing) 17
47.2%
2024-04-22T05:30:51.840644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)9.1%
Missing14
Missing (%)38.9%
Memory size200.0 B
True
15 
False
7 
(Missing)
14 
ValueCountFrequency (%)
True 15
41.7%
False 7
19.4%
(Missing) 14
38.9%
2024-04-22T05:30:52.000035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)6.7%
Missing6
Missing (%)16.7%
Memory size200.0 B
True
26 
False
4 
(Missing)
6 
ValueCountFrequency (%)
True 26
72.2%
False 4
 
11.1%
(Missing) 6
 
16.7%
2024-04-22T05:30:52.152315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

자본금
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
<NA>
19 
0
17 

Length

Max length4
Median length4
Mean length2.5833333
Min length1

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> 19
52.8%
0 17
47.2%

Length

2024-04-22T05:30:52.347211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:30:52.532448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
52.8%
0 17
47.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size452.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)53.8%
Missing10
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean881
Minimum0
Maximum8641
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-22T05:30:52.698777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116.5
Q3891.5
95-th percentile3762
Maximum8641
Range8641
Interquartile range (IQR)891.5

Descriptive statistics

Standard deviation1875.9114
Coefficient of variation (CV)2.1292978
Kurtosis12.036289
Mean881
Median Absolute Deviation (MAD)116.5
Skewness3.2886958
Sum22906
Variance3519043.6
MonotonicityNot monotonic
2024-04-22T05:30:52.889610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 13
36.1%
1014 1
 
2.8%
309 1
 
2.8%
437 1
 
2.8%
524 1
 
2.8%
341 1
 
2.8%
1376 1
 
2.8%
1255 1
 
2.8%
285 1
 
2.8%
3432 1
 
2.8%
Other values (4) 4
 
11.1%
(Missing) 10
27.8%
ValueCountFrequency (%)
0 13
36.1%
233 1
 
2.8%
285 1
 
2.8%
309 1
 
2.8%
341 1
 
2.8%
437 1
 
2.8%
524 1
 
2.8%
1014 1
 
2.8%
1187 1
 
2.8%
1255 1
 
2.8%
ValueCountFrequency (%)
8641 1
2.8%
3872 1
2.8%
3432 1
2.8%
1376 1
2.8%
1255 1
2.8%
1187 1
2.8%
1014 1
2.8%
524 1
2.8%
437 1
2.8%
341 1
2.8%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01일반유원시설업03_07_09_P3410000CDFI52710020110000012011-05-25<NA>3폐업3폐업2012-04-24<NA><NA><NA>053-425-3165<NA>700-739대구광역시 중구 삼덕동1가 15-1번지대구광역시 중구 동성로3길 35, 5층 (삼덕동1가)700-739갤러리 어뮤즈먼트 타가디스코2012-04-24 17:38:18I2018-08-31 23:59:59<NA>344203.891809264147.064731허가유원시설업<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_P3410000CDFI52710020110000022011-06-03<NA>3폐업3폐업2014-10-02<NA><NA><NA><NA><NA>700-040대구광역시 중구 사일동 59번지 지하1층대구광역시 중구 동성로 25 (사일동)700-040플레이존2014-10-02 17:37:08I2018-08-31 23:59:59<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_P3410000CDFI52710020110000032011-07-18<NA>3폐업3폐업2014-06-30<NA><NA><NA><NA><NA>700-092대구광역시 중구 동성로2가 125번지 지하 1층대구광역시 중구 동성로 17 (동성로2가)700-092팡팡e랜드2014-07-09 17:06:00I2018-08-31 23:59:59<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_P3410000CDFI52710020120000012012-01-10<NA>3폐업3폐업2012-06-19<NA><NA><NA><NA><NA>700-822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)700-822프랜드 디스코 팡팡2012-06-19 17:45:51I2018-08-31 23:59:59<NA>344054.483931264116.191983허가유원시설업<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_P3410000CDFI52710020130000012013-06-13<NA>3폐업3폐업2019-07-18<NA><NA><NA><NA><NA>700-822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)41942야시디팡2019-07-18 14:35:20U2019-07-20 02:40:00<NA>344054.483931264116.191983허가유원시설업<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
56일반유원시설업03_07_09_P3410000CDFI52710020230000012023-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-285-8080<NA><NA>대구광역시 중구 남일동 135-3대구광역시 중구 진골목길 32 (남일동)41935크레이지팡팡2023-06-03 12:26:38U2023-06-05 02:40:00<NA>343800.630257264352.552627허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>01376.32개0YYYY<NA><NA>0<NA><NA><NA>1376
67일반유원시설업03_07_09_P3410000CDFI52710020170000012017-07-13<NA>3폐업3폐업2017-08-21<NA><NA><NA>053-476-9915<NA><NA>대구광역시 중구 대봉동 655-1번지<NA><NA>신천둔치관리소2017-08-21 15:08:17I2018-08-31 23:59:59<NA>345144.121524263145.386419허가유원시설업<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_P3410000CDFI52710020190000012019-04-02<NA>3폐업3폐업2020-03-01<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 135-1번지대구광역시 중구 중앙대로 403, 6-7층 (남일동)41935팡팡랜드2020-03-23 14:50:44U2020-03-25 02:40:00<NA>343823.520011264376.110361허가유원시설업<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_P3410000CDFI52710020190000022019-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 58-6대구광역시 중구 동성로6길 61, 7층 (공평동)41938(주)스파크랜드2023-06-20 20:07:46U2023-06-22 02:40:00<NA>344317.219568264349.485186허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.07(회전관람차, 매직스윙, 티컵, 타워라이드, 미니바이킹, 패러슈터타워,바이킹), 2( 배터리카-1, 배터리카-2)0YYYY<NA><NA>0<NA><NA><NA>0
910일반유원시설업03_07_09_P3410000CDFI52710020210000022021-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 51-1대구광역시 중구 동성로 36-2 (동성로2가)41938대구노리존2023-06-09 14:25:23U2023-06-11 02:40:00<NA>344087.674459264495.005513허가유원시설업<NA>중심상업지역1<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.01대0YYYY<NA><NA>0<NA><NA><NA>0
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2627일반유원시설업03_07_09_P3450000CDFI52710020190000022019-08-13<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 고성동3가 2번지대구광역시 북구 고성로 191 (고성동3가)41594에프에이엠 주식회사2019-10-01 15:26:55U2019-10-03 02:40:00<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>
2728일반유원시설업03_07_09_P3450000CDFI52710020220000012022-06-17<NA>3폐업3폐업2022-08-22<NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1676 대구전시컨벤션센터대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동)41515엑스코 상상체험 키즈월드 시즌32022-10-06 10:45:01U2022-10-08 02:40:00<NA>345549.11017268620.845678허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0안전성검사 대상: 8종, 확인검사 대상: 10종0<NA><NA>YY<NA><NA>0<NA><NA><NA>0
2829일반유원시설업03_07_09_P3460000CDFI52710019940000011994-07-30<NA>1영업/정상13영업중<NA><NA><NA><NA>762.8400/2228.6729<NA>706-830대구광역시 수성구 상동 715 외3필지대구광역시 수성구 용학로 35-3 (상동,외3필지)<NA>(주)수성파크랜드2022-07-05 15:57:35U2022-07-07 02:40:00<NA>345741.708282259675.318096허가유원시설업유원시설업자연녹지지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0233.35<NA>0NNNN<NA><NA>0<NA><NA><NA>233
2930일반유원시설업03_07_09_P3460000CDFI52710020190000012019-08-22<NA>3폐업3폐업2019-08-26<NA><NA><NA><NA><NA><NA>대구광역시 수성구 대흥동 504번지 대구스타디움 동편광장대구광역시 수성구 유니버시아드로 180, 대구스타디움 동편광장 (대흥동)422502019 대구스타디움 워터 페스티벌2019-08-28 16:03:48U2019-08-30 02:40:00<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>
3031일반유원시설업03_07_09_P3460000CDFI52710020070000012007-03-07<NA>3폐업3폐업2021-01-01<NA><NA><NA>053-803-7930<NA>706-852대구광역시 수성구 황금동 626대구광역시 수성구 동대구로 176 (황금동)<NA>대구광역시 어린이회관2021-01-04 14:07:07U2021-01-06 02:40:00<NA>347001.534779261916.107428허가유원시설업유원시설업<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
3132일반유원시설업03_07_09_P3460000CDFI52710019930000011993-07-09<NA>1영업/정상13영업중<NA><NA><NA><NA>053-762-6622<NA>706-830대구광역시 수성구 상동 723 외19필지대구광역시 수성구 용학로 35-5 (상동)42202(주)수성랜드2023-06-14 09:30:17U2023-06-16 02:40:00<NA>345658.22082259727.589865허가유원시설업유원시설업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0NNNN<NA><NA>0<NA><NA><NA>0
3233일반유원시설업03_07_09_P3470000CDFI52710020120000012012-12-11<NA>3폐업3폐업2021-10-01<NA><NA><NA>053-644-7000<NA>704-816대구광역시 달서구 상인동 1558대구광역시 달서구 상인서로 8-6 (상인동)42814온천 엘리바덴2021-10-25 15:57:50U2021-10-27 02:40:00<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>
3334일반유원시설업03_07_09_P3470000CDFI52710020150000012015-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>704-915대구광역시 달서구 성당동 169-13대구광역시 달서구 공원순환로 237 (성당동)42672대구시설공단(두류수영장)2023-06-23 15:57:26U2023-06-25 02:40:00<NA>341042.349189261843.246105허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0안전성검사대상 5종 안전성검사비대상 1종0YY<NA>Y<NA><NA>0<NA><NA><NA>0
3435일반유원시설업03_07_09_P3480000CDFI52710020150000012015-12-31<NA>3폐업3폐업2018-05-24<NA><NA><NA>053-521-2222<NA><NA>대구광역시 달성군 화원읍 성산리 274번지대구광역시 달성군 화원읍 사문진로1길 40-12 (화원동산관리소)42941동림기업2018-05-24 17:10:04I2018-08-31 23:59:59<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>
3536일반유원시설업03_07_09_P3480000CDFI52710020040000012004-05-04<NA>2휴업2휴업<NA>2023-01-012023-12-31<NA>053)767-6300<NA>711-860대구광역시 달성군 가창면 용계리 534-1대구광역시 달성군 가창면 가창로 1003711-860허브랜드 주식회사2023-01-30 20:02:27U2023-02-01 02:40:00<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>