Overview

Dataset statistics

Number of variables63
Number of observations194
Missing cells4949
Missing cells (%)40.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.2 KiB
Average record size in memory539.7 B

Variable types

Numeric7
Categorical23
Text8
DateTime6
Unsupported15
Boolean4

Dataset

Description23년11월_6270000_대구광역시_03_07_08_P_유원시설업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101483&dataSetDetailId=DDI_0000101497&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 is highly imbalanced (88.5%)Imbalance
지역구분명 is highly imbalanced (79.9%)Imbalance
주변환경명 is highly imbalanced (88.5%)Imbalance
건물용도명 is highly imbalanced (81.2%)Imbalance
지상층수 is highly imbalanced (57.2%)Imbalance
인허가취소일자 has 194 (100.0%) missing valuesMissing
폐업일자 has 82 (42.3%) missing valuesMissing
휴업시작일자 has 190 (97.9%) missing valuesMissing
휴업종료일자 has 190 (97.9%) missing valuesMissing
재개업일자 has 194 (100.0%) missing valuesMissing
소재지전화 has 107 (55.2%) missing valuesMissing
소재지면적 has 194 (100.0%) missing valuesMissing
소재지우편번호 has 174 (89.7%) missing valuesMissing
도로명전체주소 has 11 (5.7%) missing valuesMissing
도로명우편번호 has 14 (7.2%) missing valuesMissing
업태구분명 has 194 (100.0%) missing valuesMissing
제작취급품목내용 has 194 (100.0%) missing valuesMissing
보험기관명 has 194 (100.0%) missing valuesMissing
영문상호명 has 194 (100.0%) missing valuesMissing
영문상호주소 has 194 (100.0%) missing valuesMissing
선박제원 has 194 (100.0%) missing valuesMissing
기념품종류 has 194 (100.0%) missing valuesMissing
시설면적 has 121 (62.4%) missing valuesMissing
놀이기구수내역 has 162 (83.5%) missing valuesMissing
놀이시설수 has 105 (54.1%) missing valuesMissing
방송시설유무 has 190 (97.9%) missing valuesMissing
발전시설유무 has 191 (98.5%) missing valuesMissing
의무실유무 has 190 (97.9%) missing valuesMissing
안내소유무 has 189 (97.4%) missing valuesMissing
기획여행보험시작일자 has 194 (100.0%) missing valuesMissing
기획여행보험종료일자 has 194 (100.0%) missing valuesMissing
보험시작일자 has 194 (100.0%) missing valuesMissing
보험종료일자 has 194 (100.0%) missing valuesMissing
부대시설내역 has 194 (100.0%) missing valuesMissing
시설규모 has 121 (62.4%) 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
시설면적 has 55 (28.4%) zerosZeros
놀이시설수 has 45 (23.2%) zerosZeros
시설규모 has 55 (28.4%) zerosZeros

Reproduction

Analysis started2023-12-16 05:28:23.351235
Analysis finished2023-12-16 05:28:27.486182
Duration4.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum1
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:28:28.040734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.65
Q149.25
median97.5
Q3145.75
95-th percentile184.35
Maximum194
Range193
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation56.147128
Coefficient of variation (CV)0.57586798
Kurtosis-1.2
Mean97.5
Median Absolute Deviation (MAD)48.5
Skewness0
Sum18915
Variance3152.5
MonotonicityStrictly increasing
2023-12-16T05:28:29.364055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
147 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유원시설업(기타)
194 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유원시설업(기타)
2nd row유원시설업(기타)
3rd row유원시설업(기타)
4th row유원시설업(기타)
5th row유원시설업(기타)

Common Values

ValueCountFrequency (%)
유원시설업(기타) 194
100.0%

Length

2023-12-16T05:28:30.531985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:31.605318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 194
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
03_07_08_P
194 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_08_P
2nd row03_07_08_P
3rd row03_07_08_P
4th row03_07_08_P
5th row03_07_08_P

Common Values

ValueCountFrequency (%)
03_07_08_P 194
100.0%

Length

2023-12-16T05:28:32.307967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:32.855743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 194
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3464907.2
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:28:33.568200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation173048.71
Coefficient of variation (CV)0.049943245
Kurtosis91.034073
Mean3464907.2
Median Absolute Deviation (MAD)20000
Skewness9.5066968
Sum6.72192 × 108
Variance2.9945857 × 1010
MonotonicityIncreasing
2023-12-16T05:28:34.139112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3450000 52
26.8%
3470000 31
16.0%
3410000 27
13.9%
3420000 26
13.4%
3460000 24
12.4%
3480000 22
11.3%
3430000 5
 
2.6%
3440000 5
 
2.6%
5141000 2
 
1.0%
ValueCountFrequency (%)
3410000 27
13.9%
3420000 26
13.4%
3430000 5
 
2.6%
3440000 5
 
2.6%
3450000 52
26.8%
3460000 24
12.4%
3470000 31
16.0%
3480000 22
11.3%
5141000 2
 
1.0%
ValueCountFrequency (%)
5141000 2
 
1.0%
3480000 22
11.3%
3470000 31
16.0%
3460000 24
12.4%
3450000 52
26.8%
3440000 5
 
2.6%
3430000 5
 
2.6%
3420000 26
13.4%
3410000 27
13.9%

관리번호
Text

Distinct61
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-16T05:28:35.105931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3880
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

Unique19 ?
Unique (%)9.8%

Sample

1st rowCDFI5272002007000001
2nd rowCDFI5272002016000007
3rd rowCDFI5272002016000001
4th rowCDFI5272002016000002
5th rowCDFI5272002016000003
ValueCountFrequency (%)
cdfi5272002016000001 8
 
4.1%
cdfi5272002016000002 7
 
3.6%
cdfi5272002017000001 7
 
3.6%
cdfi5272002021000001 6
 
3.1%
cdfi5272002018000002 6
 
3.1%
cdfi5272002016000003 6
 
3.1%
cdfi5272002023000001 6
 
3.1%
cdfi5272002019000002 6
 
3.1%
cdfi5272002020000001 6
 
3.1%
cdfi5272002019000001 6
 
3.1%
Other values (51) 130
67.0%
2023-12-16T05:28:36.595061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1565
40.3%
2 674
17.4%
1 239
 
6.2%
7 229
 
5.9%
5 216
 
5.6%
C 194
 
5.0%
D 194
 
5.0%
F 194
 
5.0%
I 194
 
5.0%
6 51
 
1.3%
Other values (4) 130
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3104
80.0%
Uppercase Letter 776
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1565
50.4%
2 674
21.7%
1 239
 
7.7%
7 229
 
7.4%
5 216
 
7.0%
6 51
 
1.6%
3 42
 
1.4%
9 35
 
1.1%
8 28
 
0.9%
4 25
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 194
25.0%
D 194
25.0%
F 194
25.0%
I 194
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3104
80.0%
Latin 776
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1565
50.4%
2 674
21.7%
1 239
 
7.7%
7 229
 
7.4%
5 216
 
7.0%
6 51
 
1.6%
3 42
 
1.4%
9 35
 
1.1%
8 28
 
0.9%
4 25
 
0.8%
Latin
ValueCountFrequency (%)
C 194
25.0%
D 194
25.0%
F 194
25.0%
I 194
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1565
40.3%
2 674
17.4%
1 239
 
6.2%
7 229
 
5.9%
5 216
 
5.6%
C 194
 
5.0%
D 194
 
5.0%
F 194
 
5.0%
I 194
 
5.0%
6 51
 
1.3%
Other values (4) 130
 
3.4%

인허가일자
Date

Distinct171
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1993-08-10 00:00:00
Maximum2023-08-17 00:00:00
2023-12-16T05:28:37.458327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:28:38.159172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
118 
1
72 
2
 
4

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 (%)
3 118
60.8%
1 72
37.1%
2 4
 
2.1%

Length

2023-12-16T05:28:38.847110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:39.281166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 118
60.8%
1 72
37.1%
2 4
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
118 
영업/정상
72 
휴업
 
4

Length

Max length5
Median length2
Mean length3.1134021
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 118
60.8%
영업/정상 72
37.1%
휴업 4
 
2.1%

Length

2023-12-16T05:28:39.985760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:40.836540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 118
60.8%
영업/정상 72
37.1%
휴업 4
 
2.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
116 
13
72 
2
 
4
34
 
2

Length

Max length2
Median length1
Mean length1.3814433
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row34
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 116
59.8%
13 72
37.1%
2 4
 
2.1%
34 2
 
1.0%

Length

2023-12-16T05:28:41.533568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:42.083401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 116
59.8%
13 72
37.1%
2 4
 
2.1%
34 2
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
116 
영업중
72 
휴업
 
4
영업장폐쇄
 
2

Length

Max length5
Median length2
Mean length2.4020619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 116
59.8%
영업중 72
37.1%
휴업 4
 
2.1%
영업장폐쇄 2
 
1.0%

Length

2023-12-16T05:28:42.725417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:28:43.134522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 116
59.8%
영업중 72
37.1%
휴업 4
 
2.1%
영업장폐쇄 2
 
1.0%

폐업일자
Date

MISSING 

Distinct101
Distinct (%)90.2%
Missing82
Missing (%)42.3%
Memory size1.6 KiB
Minimum2007-12-14 00:00:00
Maximum2023-08-25 00:00:00
2023-12-16T05:28:43.572619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:28:44.371692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing190
Missing (%)97.9%
Memory size1.6 KiB
Minimum2020-12-28 00:00:00
Maximum2023-07-11 00:00:00
2023-12-16T05:28:45.049664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:28:45.777235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing190
Missing (%)97.9%
Memory size1.6 KiB
Minimum2023-12-28 00:00:00
Maximum2024-07-31 00:00:00
2023-12-16T05:28:46.498289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:28:47.098727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

소재지전화
Text

MISSING 

Distinct79
Distinct (%)90.8%
Missing107
Missing (%)55.2%
Memory size1.6 KiB
2023-12-16T05:28:48.211606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.632184
Min length7

Characters and Unicode

Total characters1012
Distinct characters14
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)85.1%

Sample

1st row053-476-9912
2nd row053-245-2610
3rd row053-476-9915
4th row0532540126
5th row053-476-9915
ValueCountFrequency (%)
053-476-9912 5
 
5.7%
053-667-2000 2
 
2.3%
053-382-7979 2
 
2.3%
02-333-8334 2
 
2.3%
053-476-9915 2
 
2.3%
780.1977/9917.4789 1
 
1.1%
67242345,29741983 1
 
1.1%
053-639-1265 1
 
1.1%
053-558-6600 1
 
1.1%
053-642-5533 1
 
1.1%
Other values (69) 69
79.3%
2023-12-16T05:28:49.908004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 163
16.1%
- 146
14.4%
5 140
13.8%
3 139
13.7%
2 82
8.1%
1 71
7.0%
6 65
 
6.4%
9 64
 
6.3%
7 53
 
5.2%
8 48
 
4.7%
Other values (4) 41
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 861
85.1%
Dash Punctuation 146
 
14.4%
Other Punctuation 5
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 163
18.9%
5 140
16.3%
3 139
16.1%
2 82
9.5%
1 71
8.2%
6 65
 
7.5%
9 64
 
7.4%
7 53
 
6.2%
8 48
 
5.6%
4 36
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
. 2
40.0%
, 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 163
16.1%
- 146
14.4%
5 140
13.8%
3 139
13.7%
2 82
8.1%
1 71
7.0%
6 65
 
6.4%
9 64
 
6.3%
7 53
 
5.2%
8 48
 
4.7%
Other values (4) 41
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 163
16.1%
- 146
14.4%
5 140
13.8%
3 139
13.7%
2 82
8.1%
1 71
7.0%
6 65
 
6.4%
9 64
 
6.3%
7 53
 
5.2%
8 48
 
4.7%
Other values (4) 41
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing174
Missing (%)89.7%
Memory size1.6 KiB
2023-12-16T05:28:50.865701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters140
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row700-191
2nd row700-431
3rd row701-024
4th row701-170
5th row701-170
ValueCountFrequency (%)
702-712 2
 
10.0%
701-170 2
 
10.0%
700-191 1
 
5.0%
702-885 1
 
5.0%
711-839 1
 
5.0%
711-810 1
 
5.0%
704-806 1
 
5.0%
704-060 1
 
5.0%
706-130 1
 
5.0%
706-813 1
 
5.0%
Other values (8) 8
40.0%
2023-12-16T05:28:52.319621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
22.1%
7 24
17.1%
- 20
14.3%
1 20
14.3%
8 12
 
8.6%
2 10
 
7.1%
6 5
 
3.6%
4 5
 
3.6%
3 5
 
3.6%
5 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
85.7%
Dash Punctuation 20
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
25.8%
7 24
20.0%
1 20
16.7%
8 12
 
10.0%
2 10
 
8.3%
6 5
 
4.2%
4 5
 
4.2%
3 5
 
4.2%
5 5
 
4.2%
9 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
22.1%
7 24
17.1%
- 20
14.3%
1 20
14.3%
8 12
 
8.6%
2 10
 
7.1%
6 5
 
3.6%
4 5
 
3.6%
3 5
 
3.6%
5 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
22.1%
7 24
17.1%
- 20
14.3%
1 20
14.3%
8 12
 
8.6%
2 10
 
7.1%
6 5
 
3.6%
4 5
 
3.6%
3 5
 
3.6%
5 5
 
3.6%

소재지전체주소
Text

Distinct176
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-16T05:28:54.129075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length37
Mean length24.438144
Min length13

Characters and Unicode

Total characters4741
Distinct characters226
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)82.5%

Sample

1st row대구광역시 중구 종로1가 29-4번지
2nd row대구광역시 중구 삼덕동1가 18-11
3rd row대구광역시 중구 삼덕동1가 18-24
4th row대구광역시 중구 남일동 65-1
5th row대구광역시 중구 대봉동 655-1 (생활체육광장내)
ValueCountFrequency (%)
대구광역시 191
 
20.6%
북구 50
 
5.4%
달서구 31
 
3.3%
중구 27
 
2.9%
동구 26
 
2.8%
수성구 24
 
2.6%
달성군 22
 
2.4%
동천동 14
 
1.5%
산격동 10
 
1.1%
대흥동 8
 
0.9%
Other values (345) 524
56.5%
2023-12-16T05:28:56.244415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
930
19.6%
구 386
 
8.1%
대 242
 
5.1%
동 223
 
4.7%
시 201
 
4.2%
광 194
 
4.1%
역 193
 
4.1%
1 175
 
3.7%
- 131
 
2.8%
2 128
 
2.7%
Other values (216) 1938
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2774
58.5%
Space Separator 930
 
19.6%
Decimal Number 873
 
18.4%
Dash Punctuation 131
 
2.8%
Lowercase Letter 14
 
0.3%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 386
 
13.9%
대 242
 
8.7%
동 223
 
8.0%
시 201
 
7.2%
광 194
 
7.0%
역 193
 
7.0%
지 95
 
3.4%
번 83
 
3.0%
성 77
 
2.8%
달 54
 
1.9%
Other values (188) 1026
37.0%
Decimal Number
ValueCountFrequency (%)
1 175
20.0%
2 128
14.7%
5 89
10.2%
0 83
9.5%
3 81
9.3%
4 76
8.7%
6 73
8.4%
8 63
 
7.2%
9 54
 
6.2%
7 51
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
m 2
14.3%
e 2
14.3%
o 2
14.3%
l 2
14.3%
u 2
14.3%
s 2
14.3%
p 2
14.3%
Other Punctuation
ValueCountFrequency (%)
: 2
50.0%
. 1
25.0%
, 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
66.7%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2774
58.5%
Common 1950
41.1%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 386
 
13.9%
대 242
 
8.7%
동 223
 
8.0%
시 201
 
7.2%
광 194
 
7.0%
역 193
 
7.0%
지 95
 
3.4%
번 83
 
3.0%
성 77
 
2.8%
달 54
 
1.9%
Other values (188) 1026
37.0%
Common
ValueCountFrequency (%)
930
47.7%
1 175
 
9.0%
- 131
 
6.7%
2 128
 
6.6%
5 89
 
4.6%
0 83
 
4.3%
3 81
 
4.2%
4 76
 
3.9%
6 73
 
3.7%
8 63
 
3.2%
Other values (9) 121
 
6.2%
Latin
ValueCountFrequency (%)
m 2
11.8%
e 2
11.8%
o 2
11.8%
H 2
11.8%
l 2
11.8%
u 2
11.8%
s 2
11.8%
p 2
11.8%
G 1
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2774
58.5%
ASCII 1966
41.5%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
930
47.3%
1 175
 
8.9%
- 131
 
6.7%
2 128
 
6.5%
5 89
 
4.5%
0 83
 
4.2%
3 81
 
4.1%
4 76
 
3.9%
6 73
 
3.7%
8 63
 
3.2%
Other values (17) 137
 
7.0%
Hangul
ValueCountFrequency (%)
구 386
 
13.9%
대 242
 
8.7%
동 223
 
8.0%
시 201
 
7.2%
광 194
 
7.0%
역 193
 
7.0%
지 95
 
3.4%
번 83
 
3.0%
성 77
 
2.8%
달 54
 
1.9%
Other values (188) 1026
37.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct177
Distinct (%)96.7%
Missing11
Missing (%)5.7%
Memory size1.6 KiB
2023-12-16T05:28:57.718509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length42
Mean length31.016393
Min length21

Characters and Unicode

Total characters5676
Distinct characters258
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)94.0%

Sample

1st row대구광역시 중구 국채보상로 547 (종로1가)
2nd row대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)
3rd row대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가)
4th row대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)
5th row대구광역시 중구 동성로5길 75, 1층 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 180
 
15.5%
북구 46
 
4.0%
달서구 31
 
2.7%
동구 26
 
2.2%
수성구 23
 
2.0%
3층 22
 
1.9%
중구 22
 
1.9%
달성군 21
 
1.8%
1층 18
 
1.6%
4층 16
 
1.4%
Other values (423) 753
65.0%
2023-12-16T05:29:00.156996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
983
 
17.3%
구 384
 
6.8%
대 256
 
4.5%
동 256
 
4.5%
시 201
 
3.5%
역 185
 
3.3%
광 182
 
3.2%
로 182
 
3.2%
1 181
 
3.2%
) 165
 
2.9%
Other values (248) 2701
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3328
58.6%
Space Separator 983
 
17.3%
Decimal Number 822
 
14.5%
Close Punctuation 165
 
2.9%
Other Punctuation 165
 
2.9%
Open Punctuation 164
 
2.9%
Dash Punctuation 29
 
0.5%
Uppercase Letter 11
 
0.2%
Lowercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 384
 
11.5%
대 256
 
7.7%
동 256
 
7.7%
시 201
 
6.0%
역 185
 
5.6%
광 182
 
5.5%
로 182
 
5.5%
층 105
 
3.2%
성 88
 
2.6%
달 68
 
2.0%
Other values (213) 1421
42.7%
Decimal Number
ValueCountFrequency (%)
1 181
22.0%
2 134
16.3%
0 89
10.8%
4 85
10.3%
3 83
10.1%
6 55
 
6.7%
5 55
 
6.7%
8 53
 
6.4%
9 48
 
5.8%
7 39
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
Y 2
18.2%
J 2
18.2%
X 2
18.2%
S 1
9.1%
D 1
9.1%
G 1
9.1%
H 1
9.1%
B 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
14.3%
m 1
14.3%
o 1
14.3%
l 1
14.3%
p 1
14.3%
u 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 161
97.6%
: 2
 
1.2%
. 1
 
0.6%
* 1
 
0.6%
Space Separator
ValueCountFrequency (%)
983
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3328
58.6%
Common 2330
41.1%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 384
 
11.5%
대 256
 
7.7%
동 256
 
7.7%
시 201
 
6.0%
역 185
 
5.6%
광 182
 
5.5%
로 182
 
5.5%
층 105
 
3.2%
성 88
 
2.6%
달 68
 
2.0%
Other values (213) 1421
42.7%
Common
ValueCountFrequency (%)
983
42.2%
1 181
 
7.8%
) 165
 
7.1%
( 164
 
7.0%
, 161
 
6.9%
2 134
 
5.8%
0 89
 
3.8%
4 85
 
3.6%
3 83
 
3.6%
6 55
 
2.4%
Other values (10) 230
 
9.9%
Latin
ValueCountFrequency (%)
Y 2
 
11.1%
J 2
 
11.1%
X 2
 
11.1%
S 1
 
5.6%
D 1
 
5.6%
G 1
 
5.6%
e 1
 
5.6%
m 1
 
5.6%
o 1
 
5.6%
H 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
58.6%
ASCII 2347
41.3%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
983
41.9%
1 181
 
7.7%
) 165
 
7.0%
( 164
 
7.0%
, 161
 
6.9%
2 134
 
5.7%
0 89
 
3.8%
4 85
 
3.6%
3 83
 
3.5%
6 55
 
2.3%
Other values (24) 247
 
10.5%
Hangul
ValueCountFrequency (%)
구 384
 
11.5%
대 256
 
7.7%
동 256
 
7.7%
시 201
 
6.0%
역 185
 
5.6%
광 182
 
5.5%
로 182
 
5.5%
층 105
 
3.2%
성 88
 
2.6%
달 68
 
2.0%
Other values (213) 1421
42.7%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct114
Distinct (%)63.3%
Missing14
Missing (%)7.2%
Memory size1.6 KiB
2023-12-16T05:29:01.849680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0777778
Min length5

Characters and Unicode

Total characters914
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

Unique80 ?
Unique (%)44.4%

Sample

1st row41941
2nd row41941
3rd row41937
4th row41941
5th row41942
ValueCountFrequency (%)
42250 8
 
4.4%
41423 8
 
4.4%
41941 7
 
3.9%
42274 5
 
2.8%
41515 4
 
2.2%
42941 4
 
2.2%
41229 4
 
2.2%
41422 3
 
1.7%
41084 3
 
1.7%
41593 3
 
1.7%
Other values (104) 131
72.8%
2023-12-16T05:29:04.133687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 243
26.6%
1 151
16.5%
2 140
15.3%
5 64
 
7.0%
9 63
 
6.9%
0 61
 
6.7%
7 57
 
6.2%
6 45
 
4.9%
8 43
 
4.7%
3 40
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 907
99.2%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 243
26.8%
1 151
16.6%
2 140
15.4%
5 64
 
7.1%
9 63
 
6.9%
0 61
 
6.7%
7 57
 
6.3%
6 45
 
5.0%
8 43
 
4.7%
3 40
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 243
26.6%
1 151
16.5%
2 140
15.3%
5 64
 
7.0%
9 63
 
6.9%
0 61
 
6.7%
7 57
 
6.2%
6 45
 
4.9%
8 43
 
4.7%
3 40
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 243
26.6%
1 151
16.5%
2 140
15.3%
5 64
 
7.0%
9 63
 
6.9%
0 61
 
6.7%
7 57
 
6.2%
6 45
 
4.9%
8 43
 
4.7%
3 40
 
4.4%

사업장명
Text

Distinct187
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-16T05:29:05.546002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.8350515
Min length2

Characters and Unicode

Total characters1520
Distinct characters307
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)92.8%

Sample

1st row에덴카니발
2nd row뽑아방
3rd row총형스포츠 홈런짱
4th row야사노 대구동성로점
5th row대구광역시 시설관리공단
ValueCountFrequency (%)
물놀이장 9
 
3.0%
주식회사 6
 
2.0%
키즈카페 5
 
1.7%
스카이점핑랜드 4
 
1.3%
화원동산 4
 
1.3%
맥스라이더 3
 
1.0%
대구점 3
 
1.0%
대구수성점 3
 
1.0%
워터파크 2
 
0.7%
市 2
 
0.7%
Other values (239) 260
86.4%
2023-12-16T05:29:07.676419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
7.0%
이 69
 
4.5%
점 54
 
3.6%
스 41
 
2.7%
리 31
 
2.0%
키 29
 
1.9%
대 29
 
1.9%
즈 26
 
1.7%
드 26
 
1.7%
구 26
 
1.7%
Other values (297) 1082
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
85.1%
Space Separator 107
 
7.0%
Uppercase Letter 37
 
2.4%
Open Punctuation 23
 
1.5%
Close Punctuation 23
 
1.5%
Lowercase Letter 19
 
1.2%
Decimal Number 14
 
0.9%
Other Punctuation 2
 
0.1%
Currency Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 69
 
5.3%
점 54
 
4.2%
스 41
 
3.2%
리 31
 
2.4%
키 29
 
2.2%
대 29
 
2.2%
즈 26
 
2.0%
드 26
 
2.0%
구 26
 
2.0%
카 26
 
2.0%
Other values (255) 937
72.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
 
10.8%
M 4
 
10.8%
V 3
 
8.1%
C 3
 
8.1%
S 2
 
5.4%
D 2
 
5.4%
L 2
 
5.4%
P 2
 
5.4%
E 2
 
5.4%
O 2
 
5.4%
Other values (9) 11
29.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.8%
u 3
15.8%
t 2
10.5%
e 2
10.5%
d 1
 
5.3%
f 1
 
5.3%
h 1
 
5.3%
l 1
 
5.3%
a 1
 
5.3%
y 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
2 5
35.7%
4 2
 
14.3%
1 2
 
14.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1292
85.0%
Common 170
 
11.2%
Latin 56
 
3.7%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 69
 
5.3%
점 54
 
4.2%
스 41
 
3.2%
리 31
 
2.4%
키 29
 
2.2%
대 29
 
2.2%
즈 26
 
2.0%
드 26
 
2.0%
구 26
 
2.0%
카 26
 
2.0%
Other values (254) 935
72.4%
Latin
ValueCountFrequency (%)
A 4
 
7.1%
M 4
 
7.1%
V 3
 
5.4%
n 3
 
5.4%
C 3
 
5.4%
u 3
 
5.4%
S 2
 
3.6%
t 2
 
3.6%
D 2
 
3.6%
L 2
 
3.6%
Other values (22) 28
50.0%
Common
ValueCountFrequency (%)
107
62.9%
( 23
 
13.5%
) 23
 
13.5%
0 5
 
2.9%
2 5
 
2.9%
4 2
 
1.2%
1 2
 
1.2%
· 1
 
0.6%
& 1
 
0.6%
$ 1
 
0.6%
Han
ValueCountFrequency (%)
市 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1292
85.0%
ASCII 225
 
14.8%
CJK 2
 
0.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
47.6%
( 23
 
10.2%
) 23
 
10.2%
0 5
 
2.2%
2 5
 
2.2%
A 4
 
1.8%
M 4
 
1.8%
V 3
 
1.3%
n 3
 
1.3%
C 3
 
1.3%
Other values (31) 45
20.0%
Hangul
ValueCountFrequency (%)
이 69
 
5.3%
점 54
 
4.2%
스 41
 
3.2%
리 31
 
2.4%
키 29
 
2.2%
대 29
 
2.2%
즈 26
 
2.0%
드 26
 
2.0%
구 26
 
2.0%
카 26
 
2.0%
Other values (254) 935
72.4%
CJK
ValueCountFrequency (%)
市 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-12-13 16:17:40
Maximum2023-11-30 17:51:27
2023-12-16T05:29:08.755108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:29:09.958204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
123 
I
71 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 123
63.4%
I 71
36.6%

Length

2023-12-16T05:29:10.940465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:11.550209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 123
63.4%
i 71
36.6%

데이터갱신일자
Date

Distinct123
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 02:40:00
2023-12-16T05:29:12.200473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:29:13.309562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct156
Distinct (%)80.8%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean342170.1
Minimum201131.72
Maximum389194.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:29:14.658592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201131.72
5-th percentile332216.45
Q1339618.37
median343908.68
Q3346807.09
95-th percentile354186.83
Maximum389194.1
Range188062.38
Interquartile range (IQR)7188.714

Descriptive statistics

Standard deviation15531.248
Coefficient of variation (CV)0.04539043
Kurtosis61.103071
Mean342170.1
Median Absolute Deviation (MAD)3587.9607
Skewness-6.9110734
Sum66038829
Variance2.4121966 × 108
MonotonicityNot monotonic
2023-12-16T05:29:15.533661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352335.045028381 8
 
4.1%
345549.110170479 5
 
2.6%
345144.121523599 5
 
2.6%
355939.362329351 3
 
1.5%
343510.573192364 3
 
1.5%
339976.179739218 3
 
1.5%
347037.241970286 3
 
1.5%
347690.434441289 2
 
1.0%
340788.465795756 2
 
1.0%
349426.805402323 2
 
1.0%
Other values (146) 157
80.9%
ValueCountFrequency (%)
201131.721804759 1
0.5%
211303.084885447 1
0.5%
328075.737316967 1
0.5%
328325.875377771 1
0.5%
330329.375724914 1
0.5%
330334.179214972 1
0.5%
330725.352099025 1
0.5%
331673.04415855 1
0.5%
332182.055596217 1
0.5%
332211.021477461 1
0.5%
ValueCountFrequency (%)
389194.104289201 1
 
0.5%
355939.362329351 3
1.5%
355855.955513013 1
 
0.5%
355761.750376171 1
 
0.5%
354753.46990822 1
 
0.5%
354561.70358286 1
 
0.5%
354219.069618441 1
 
0.5%
354187.632432412 1
 
0.5%
354186.29490617 1
 
0.5%
354141.449476213 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct156
Distinct (%)80.8%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean264405.1
Minimum190807.09
Maximum418721.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:29:16.344223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190807.09
5-th percentile257311.13
Q1261147.07
median264160.33
Q3266134.26
95-th percentile272543.22
Maximum418721.9
Range227914.81
Interquartile range (IQR)4987.1946

Descriptive statistics

Standard deviation13319.108
Coefficient of variation (CV)0.050373871
Kurtosis98.943152
Mean264405.1
Median Absolute Deviation (MAD)2817.4649
Skewness7.2727508
Sum51030184
Variance1.7739864 × 108
MonotonicityNot monotonic
2023-12-16T05:29:16.991741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260158.750203679 8
 
4.1%
268620.845678103 5
 
2.6%
263145.38641925 5
 
2.6%
264777.243597576 3
 
1.5%
266134.259920881 3
 
1.5%
262196.638867618 3
 
1.5%
265407.404336831 3
 
1.5%
270271.225719383 2
 
1.0%
272540.517024906 2
 
1.0%
266377.854783573 2
 
1.0%
Other values (146) 157
80.9%
ValueCountFrequency (%)
190807.093033573 1
0.5%
240496.083286429 1
0.5%
244351.176373244 1
0.5%
254527.243473422 1
0.5%
254575.952264305 1
0.5%
255360.475912095 2
1.0%
255998.649989061 2
1.0%
256882.851070377 1
0.5%
257596.654862013 1
0.5%
257925.256214078 2
1.0%
ValueCountFrequency (%)
418721.901325669 1
0.5%
285956.885964504 1
0.5%
272735.675659876 2
1.0%
272659.975074019 1
0.5%
272648.099804965 1
0.5%
272615.482385513 1
0.5%
272576.782877787 1
0.5%
272570.139180315 1
0.5%
272547.266998477 1
0.5%
272540.517024906 2
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
신고유원시설업
194 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 194
100.0%

Length

2023-12-16T05:29:17.644793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:18.035539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 194
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
191 
유원시설업
 
3

Length

Max length5
Median length4
Mean length4.0154639
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 191
98.5%
유원시설업 3
 
1.5%

Length

2023-12-16T05:29:18.738110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:19.326247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
98.5%
유원시설업 3
 
1.5%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
179 
일반주거지역
 
6
중심상업지역
 
4
자연녹지지역
 
2
상업지역
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1443299
Min length4

Unique

Unique3 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 179
92.3%
일반주거지역 6
 
3.1%
중심상업지역 4
 
2.1%
자연녹지지역 2
 
1.0%
상업지역 1
 
0.5%
일반상업지역 1
 
0.5%
근린상업지역 1
 
0.5%

Length

2023-12-16T05:29:19.976213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:20.596927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
92.3%
일반주거지역 6
 
3.1%
중심상업지역 4
 
2.1%
자연녹지지역 2
 
1.0%
상업지역 1
 
0.5%
일반상업지역 1
 
0.5%
근린상업지역 1
 
0.5%

총층수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
128 
0
63 
4
 
2
2
 
1

Length

Max length4
Median length4
Mean length2.9793814
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
66.0%
0 63
32.5%
4 2
 
1.0%
2 1
 
0.5%

Length

2023-12-16T05:29:21.453480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:22.022608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
66.0%
0 63
32.5%
4 2
 
1.0%
2 1
 
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
191 
기타
 
3

Length

Max length4
Median length4
Mean length3.9690722
Min length2

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> 191
98.5%
기타 3
 
1.5%

Length

2023-12-16T05:29:23.082864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:23.974692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 191
98.5%
기타 3
 
1.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
183 
근린생활시설
 
8
유기장
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4.0618557
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 183
94.3%
근린생활시설 8
 
4.1%
유기장 2
 
1.0%
기타 1
 
0.5%

Length

2023-12-16T05:29:25.306259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:25.936981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
94.3%
근린생활시설 8
 
4.1%
유기장 2
 
1.0%
기타 1
 
0.5%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
128 
0
61 
3
 
2
6
 
1
7
 
1

Length

Max length4
Median length4
Mean length2.9793814
Min length1

Unique

Unique3 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
66.0%
0 61
31.4%
3 2
 
1.0%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%

Length

2023-12-16T05:29:26.691962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:27.780841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
66.0%
0 61
31.4%
3 2
 
1.0%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%

지하층수
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
127 
0
64 
1
 
3

Length

Max length4
Median length4
Mean length2.9639175
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> 127
65.5%
0 64
33.0%
1 3
 
1.5%

Length

2023-12-16T05:29:28.879521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:29.827162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
65.5%
0 64
33.0%
1 3
 
1.5%

객실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:30.309643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:31.053409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

건축연면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:31.870807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:32.658492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:33.338159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:34.003284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

선박척수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:34.695336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:35.213899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:35.941084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:36.448295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

좌석수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:36.891473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:37.375968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:37.847621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:38.433018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)26.0%
Missing121
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean116.02658
Minimum0
Maximum1917.9
Zeros55
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:29:38.778953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile553.996
Maximum1917.9
Range1917.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation335.06161
Coefficient of variation (CV)2.8878005
Kurtosis16.765547
Mean116.02658
Median Absolute Deviation (MAD)0
Skewness3.9991951
Sum8469.94
Variance112266.28
MonotonicityNot monotonic
2023-12-16T05:29:39.510355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 55
28.4%
100.0 1
 
0.5%
480.0 1
 
0.5%
191.25 1
 
0.5%
664.99 1
 
0.5%
213.67 1
 
0.5%
388.74 1
 
0.5%
71.3 1
 
0.5%
183.16 1
 
0.5%
72.9 1
 
0.5%
Other values (9) 9
 
4.6%
(Missing) 121
62.4%
ValueCountFrequency (%)
0.0 55
28.4%
50.0 1
 
0.5%
71.3 1
 
0.5%
72.9 1
 
0.5%
100.0 1
 
0.5%
160.0 1
 
0.5%
183.16 1
 
0.5%
191.25 1
 
0.5%
213.06 1
 
0.5%
213.67 1
 
0.5%
ValueCountFrequency (%)
1917.9 1
0.5%
1488.79 1
0.5%
1359.0 1
0.5%
664.99 1
0.5%
480.0 1
0.5%
388.74 1
0.5%
378.15 1
0.5%
310.9 1
0.5%
226.13 1
0.5%
213.67 1
0.5%

놀이기구수내역
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing162
Missing (%)83.5%
Memory size1.6 KiB
2023-12-16T05:29:40.610320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length22.5
Mean length15.15625
Min length4

Characters and Unicode

Total characters485
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

Unique28 ?
Unique (%)87.5%

Sample

1st row총 11대
2nd row심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)
3rd row놀이형 미니에어바운스 1종 2대
4th row미니모험놀이 볼대포,미니라이더(정기검사 대상아님)
5th row봉봉뜀틀 유아용, 봉봉뜀틀 어린이용
ValueCountFrequency (%)
붕붕뜀틀 7
 
7.4%
1종 6
 
6.4%
1대 6
 
6.4%
2대 5
 
5.3%
봉봉뜀틀 4
 
4.3%
트램폴린 3
 
3.2%
유아용 3
 
3.2%
2종 3
 
3.2%
인형뽑기 2
 
2.1%
미니농구 2
 
2.1%
Other values (53) 53
56.4%
2023-12-16T05:29:42.328426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
12.8%
대 27
 
5.6%
1 23
 
4.7%
, 21
 
4.3%
붕 20
 
4.1%
2 18
 
3.7%
틀 15
 
3.1%
뜀 14
 
2.9%
미 13
 
2.7%
종 12
 
2.5%
Other values (97) 260
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
66.6%
Space Separator 62
 
12.8%
Decimal Number 56
 
11.5%
Other Punctuation 23
 
4.7%
Close Punctuation 10
 
2.1%
Open Punctuation 10
 
2.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 27
 
8.4%
붕 20
 
6.2%
틀 15
 
4.6%
뜀 14
 
4.3%
미 13
 
4.0%
종 12
 
3.7%
이 12
 
3.7%
니 12
 
3.7%
스 10
 
3.1%
봉 10
 
3.1%
Other values (83) 178
55.1%
Decimal Number
ValueCountFrequency (%)
1 23
41.1%
2 18
32.1%
3 5
 
8.9%
5 3
 
5.4%
6 2
 
3.6%
8 2
 
3.6%
4 2
 
3.6%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 21
91.3%
. 2
 
8.7%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
66.6%
Common 162
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 27
 
8.4%
붕 20
 
6.2%
틀 15
 
4.6%
뜀 14
 
4.3%
미 13
 
4.0%
종 12
 
3.7%
이 12
 
3.7%
니 12
 
3.7%
스 10
 
3.1%
봉 10
 
3.1%
Other values (83) 178
55.1%
Common
ValueCountFrequency (%)
62
38.3%
1 23
 
14.2%
, 21
 
13.0%
2 18
 
11.1%
) 10
 
6.2%
( 10
 
6.2%
3 5
 
3.1%
5 3
 
1.9%
. 2
 
1.2%
6 2
 
1.2%
Other values (4) 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
66.6%
ASCII 162
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
38.3%
1 23
 
14.2%
, 21
 
13.0%
2 18
 
11.1%
) 10
 
6.2%
( 10
 
6.2%
3 5
 
3.1%
5 3
 
1.9%
. 2
 
1.2%
6 2
 
1.2%
Other values (4) 6
 
3.7%
Hangul
ValueCountFrequency (%)
대 27
 
8.4%
붕 20
 
6.2%
틀 15
 
4.6%
뜀 14
 
4.3%
미 13
 
4.0%
종 12
 
3.7%
이 12
 
3.7%
니 12
 
3.7%
스 10
 
3.1%
봉 10
 
3.1%
Other values (83) 178
55.1%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)10.1%
Missing105
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean1.0674157
Minimum0
Maximum16
Zeros45
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:29:43.102223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1040964
Coefficient of variation (CV)1.9712061
Kurtosis29.235694
Mean1.0674157
Median Absolute Deviation (MAD)0
Skewness4.6936974
Sum95
Variance4.4272217
MonotonicityNot monotonic
2023-12-16T05:29:44.150747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 45
23.2%
1 27
 
13.9%
2 8
 
4.1%
4 3
 
1.5%
3 2
 
1.0%
16 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
(Missing) 105
54.1%
ValueCountFrequency (%)
0 45
23.2%
1 27
13.9%
2 8
 
4.1%
3 2
 
1.0%
4 3
 
1.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
5 1
 
0.5%
4 3
 
1.5%
3 2
 
1.0%
2 8
 
4.1%
1 27
13.9%
0 45
23.2%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing190
Missing (%)97.9%
Memory size520.0 B
False
 
2
True
 
2
(Missing)
190 
ValueCountFrequency (%)
False 2
 
1.0%
True 2
 
1.0%
(Missing) 190
97.9%
2023-12-16T05:29:45.218103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)66.7%
Missing191
Missing (%)98.5%
Memory size520.0 B
False
 
2
True
 
1
(Missing)
191 
ValueCountFrequency (%)
False 2
 
1.0%
True 1
 
0.5%
(Missing) 191
98.5%
2023-12-16T05:29:46.264919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing190
Missing (%)97.9%
Memory size520.0 B
False
 
2
True
 
2
(Missing)
190 
ValueCountFrequency (%)
False 2
 
1.0%
True 2
 
1.0%
(Missing) 190
97.9%
2023-12-16T05:29:46.679581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)40.0%
Missing189
Missing (%)97.4%
Memory size520.0 B
True
 
3
False
 
2
(Missing)
189 
ValueCountFrequency (%)
True 3
 
1.5%
False 2
 
1.0%
(Missing) 189
97.4%
2023-12-16T05:29:47.372524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

자본금
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
64 

Length

Max length4
Median length4
Mean length3.0103093
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> 130
67.0%
0 64
33.0%

Length

2023-12-16T05:29:48.100577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:29:48.713974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
67.0%
0 64
33.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)26.0%
Missing121
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean116.0274
Minimum0
Maximum1918
Zeros55
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-16T05:29:49.224772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile554
Maximum1918
Range1918
Interquartile range (IQR)0

Descriptive statistics

Standard deviation335.08303
Coefficient of variation (CV)2.8879647
Kurtosis16.765846
Mean116.0274
Median Absolute Deviation (MAD)0
Skewness3.9992571
Sum8470
Variance112280.64
MonotonicityNot monotonic
2023-12-16T05:29:49.910743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 55
28.4%
100 1
 
0.5%
480 1
 
0.5%
191 1
 
0.5%
665 1
 
0.5%
214 1
 
0.5%
389 1
 
0.5%
71 1
 
0.5%
183 1
 
0.5%
73 1
 
0.5%
Other values (9) 9
 
4.6%
(Missing) 121
62.4%
ValueCountFrequency (%)
0 55
28.4%
50 1
 
0.5%
71 1
 
0.5%
73 1
 
0.5%
100 1
 
0.5%
160 1
 
0.5%
183 1
 
0.5%
191 1
 
0.5%
213 1
 
0.5%
214 1
 
0.5%
ValueCountFrequency (%)
1918 1
0.5%
1489 1
0.5%
1359 1
0.5%
665 1
0.5%
480 1
0.5%
389 1
0.5%
378 1
0.5%
311 1
0.5%
226 1
0.5%
214 1
0.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01유원시설업(기타)03_07_08_P3410000CDFI52720020070000012007-06-13<NA>3폐업3폐업2011-01-04<NA><NA><NA><NA><NA>700-191대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)<NA>에덴카니발2011-01-05 09:22:16I2018-08-31 23:59:59<NA>343571.965699264582.776251신고유원시설업유원시설업중심상업지역<NA><NA><NA><NA>유기장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72.9총 11대<NA>NNNN<NA><NA><NA><NA><NA><NA>73
12유원시설업(기타)03_07_08_P3410000CDFI52720020160000072016-09-30<NA>3폐업34영업장폐쇄2019-02-11<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-11대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)41941뽑아방2019-02-11 10:25:02U2019-02-13 02:40:00<NA>344147.150604264238.091691신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23유원시설업(기타)03_07_08_P3410000CDFI52720020160000012016-02-02<NA>3폐업3폐업2020-06-30<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-24대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가)41941총형스포츠 홈런짱2020-06-30 10:52:41U2020-07-02 02:40:00<NA>344223.750236264221.261793신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34유원시설업(기타)03_07_08_P3410000CDFI52720020160000022016-07-14<NA>3폐업3폐업2021-07-29<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)41937야사노 대구동성로점2021-07-30 10:12:28U2021-08-01 02:40:00<NA>343908.683407264477.417036신고유원시설업<NA>중심상업지역<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45유원시설업(기타)03_07_08_P3410000CDFI52720020160000032016-07-18<NA>3폐업3폐업2016-09-12<NA><NA><NA>053-476-9912<NA><NA>대구광역시 중구 대봉동 655-1 (생활체육광장내)<NA><NA>대구광역시 시설관리공단2016-09-12 10:34:44I2018-08-31 23:59:59<NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56유원시설업(기타)03_07_08_P3410000CDFI52720020160000052016-09-13<NA>3폐업3폐업2018-09-19<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9대구광역시 중구 동성로5길 75, 1층 (삼덕동1가)41941푸쉬푸쉬2018-09-19 09:34:23U2018-09-19 23:59:59<NA>344317.257584264199.131562신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67유원시설업(기타)03_07_08_P3410000CDFI52720020160000062016-09-13<NA>3폐업3폐업2018-10-31<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 59-1대구광역시 중구 동성로5길 84, 1층 (삼덕동1가)41942시피 스마일토이2018-11-02 09:54:38U2018-11-04 02:35:46<NA>344358.284581264151.999026신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78유원시설업(기타)03_07_08_P3410000CDFI52720020190000022019-05-16<NA>3폐업3폐업2022-08-31<NA><NA><NA>053-245-2610<NA><NA>대구광역시 중구 계산동2가 200 현대백화점대구광역시 중구 달구벌대로 2077, 현대백화점 6층 (계산동2가)41936릴리펏 현대백화점대구점2023-02-09 10:25:12U2023-02-11 02:40:00<NA>343588.735555264119.01075신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89유원시설업(기타)03_07_08_P3410000CDFI52720020160000082016-10-13<NA>3폐업3폐업2017-02-09<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 39-10대구광역시 중구 동성로 52-2 (동성로2가)41913$10 House2017-02-09 16:35:32I2018-08-31 23:59:59<NA>344050.161638264647.23417신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910유원시설업(기타)03_07_08_P3410000CDFI52720020160000092016-10-24<NA>3폐업3폐업2017-11-29<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 144-3대구광역시 중구 동성로 20-1 (동성로2가)41941노리터2017-11-29 10:09:08I2018-08-31 23:59:59<NA>343993.003027264337.851228신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
184185유원시설업(기타)03_07_08_P3480000CDFI52720020180000012018-05-28<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-7983<NA><NA>대구광역시 달성군 옥포면 교항리 2921번지 5층대구광역시 달성군 옥포면 돌미상업로2길 1, 5층42974제나드2018-05-30 13:22:42I2018-08-31 23:59:59<NA>330329.375725254575.952264신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>붕붕뜀틀 1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
185186유원시설업(기타)03_07_08_P3480000CDFI52720020180000022018-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA>053-617-2208<NA><NA>대구광역시 달성군 구지면 응암리 1208-3번지 덕성빌딩 3층대구광역시 달성군 구지면 과학마을로 60, 덕성빌딩 3층43008실버스타2018-06-15 17:25:07I2018-08-31 23:59:59<NA>328325.875378240496.083286신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
186187유원시설업(기타)03_07_08_P3480000CDFI52720020180000032018-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0535880022<NA><NA>대구광역시 달성군 다사읍 서재리 810 4층대구광역시 달성군 다사읍 서재로7길 36, 4층42929노리파크 대구서재점2022-04-26 17:52:17U2022-04-28 02:40:00<NA>334594.427911264399.493987신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187188유원시설업(기타)03_07_08_P3480000CDFI52720020180000042018-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0535855780<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-7번지 9층대구광역시 달성군 다사읍 달구벌대로 861, 9층42914스카이점핑랜드 죽곡점2018-06-19 11:09:01I2018-08-31 23:59:59<NA>332220.064187263114.527196신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
188189유원시설업(기타)03_07_08_P3480000CDFI52720020190000012019-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA>053-608-5000<NA><NA>대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938네이처파크2023-08-04 10:36:46U2023-08-06 02:40:00<NA>347783.240397255360.475912신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
189190유원시설업(기타)03_07_08_P3480000CDFI52720020230000022023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938네이처랜드2023-06-26 12:57:24I2023-06-28 00:19:13<NA>347783.240397255360.475912신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
190191유원시설업(기타)03_07_08_P3480000CDFI52720020230000012023-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 809-1대구광역시 달성군 다사읍 대실역남로 10, 301호42918점프점프2023-05-04 18:46:03I2023-05-07 00:20:08<NA>332254.040827262856.798138신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
191192유원시설업(기타)03_07_08_P3480000CDFI52720020140000012014-06-30<NA>3폐업3폐업<NA><NA><NA><NA>521-2222<NA>711-821대구광역시 달성군 하빈면 묘리 631번지대구광역시 달성군 하빈면 묘동3길 11742900주식회사 동림산업2016-03-24 17:53:08I2018-08-31 23:59:59<NA>328075.737317269064.034791신고유원시설업<NA><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>
192193유원시설업(기타)03_07_08_P5141000CDFI52720020200000022020-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-3660<NA><NA>대구광역시 군위군 부계면 대율리 644-1 대율초등학교대구광역시 군위군 부계면 한밤8길 2, 대율초등학교43165솔담길오토캠핑장2022-01-21 16:05:34I2023-07-01 16:42:10<NA>349007.790311285956.885965신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0붕붕뜀틀 2대0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
193194유원시설업(기타)03_07_08_P5141000CDFI52720020200000012020-10-19<NA>3폐업3폐업2020-10-28<NA><NA><NA><NA><NA><NA>경기도 수원시 팔달구 교동 142-20경기도 수원시 팔달구 매산로116번길 18, 3층 (교동)16464사단법인 탑교육문화원2020-12-18 10:06:55I2023-07-01 15:23:19<NA>201131.721805418721.901326신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0