Overview

Dataset statistics

Number of variables37
Number of observations799
Missing cells8061
Missing cells (%)27.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory243.6 KiB
Average record size in memory312.2 B

Variable types

Numeric5
Categorical13
Text7
DateTime6
Unsupported6

Dataset

Description24년03월_6270000_대구광역시_10_31_01_P_골프연습장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106550&dataSetDetailId=DDI_0000106569&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
건축물동수 is highly imbalanced (50.1%)Imbalance
회원모집총인원 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 799 (100.0%) missing valuesMissing
폐업일자 has 395 (49.4%) missing valuesMissing
휴업시작일자 has 797 (99.7%) missing valuesMissing
휴업종료일자 has 797 (99.7%) missing valuesMissing
재개업일자 has 799 (100.0%) missing valuesMissing
소재지전화 has 154 (19.3%) missing valuesMissing
소재지면적 has 799 (100.0%) missing valuesMissing
소재지우편번호 has 397 (49.7%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.5%) missing valuesMissing
도로명우편번호 has 221 (27.7%) missing valuesMissing
업태구분명 has 799 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.0%) missing valuesMissing
좌표정보(Y) has 16 (2.0%) missing valuesMissing
건축물연면적 has 452 (56.6%) missing valuesMissing
세부업종명 has 799 (100.0%) missing valuesMissing
법인명 has 799 (100.0%) 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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 117 (14.6%) zerosZeros

Reproduction

Analysis started2024-04-29 12:11:38.188057
Analysis finished2024-04-29 12:11:39.280166
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct799
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400
Minimum1
Maximum799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-29T21:11:39.359301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.9
Q1200.5
median400
Q3599.5
95-th percentile759.1
Maximum799
Range798
Interquartile range (IQR)399

Descriptive statistics

Standard deviation230.79572
Coefficient of variation (CV)0.57698931
Kurtosis-1.2
Mean400
Median Absolute Deviation (MAD)200
Skewness0
Sum319600
Variance53266.667
MonotonicityStrictly increasing
2024-04-29T21:11:39.643171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
538 1
 
0.1%
528 1
 
0.1%
529 1
 
0.1%
530 1
 
0.1%
531 1
 
0.1%
532 1
 
0.1%
533 1
 
0.1%
534 1
 
0.1%
535 1
 
0.1%
Other values (789) 789
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
799 1
0.1%
798 1
0.1%
797 1
0.1%
796 1
0.1%
795 1
0.1%
794 1
0.1%
793 1
0.1%
792 1
0.1%
791 1
0.1%
790 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
골프연습장업
799 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 799
100.0%

Length

2024-04-29T21:11:39.766750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:39.862751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 799
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
10_31_01_P
799 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_31_01_P
2nd row10_31_01_P
3rd row10_31_01_P
4th row10_31_01_P
5th row10_31_01_P

Common Values

ValueCountFrequency (%)
10_31_01_P 799
100.0%

Length

2024-04-29T21:11:39.955035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:40.038630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 799
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3464136.4
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-29T21:11:40.135762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3460000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation134548.97
Coefficient of variation (CV)0.038840553
Kurtosis149.29204
Mean3464136.4
Median Absolute Deviation (MAD)10000
Skewness12.151523
Sum2.767845 × 109
Variance1.8103426 × 1010
MonotonicityIncreasing
2024-04-29T21:11:40.246089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 214
26.8%
3460000 194
24.3%
3450000 143
17.9%
3420000 101
12.6%
3480000 57
 
7.1%
3430000 37
 
4.6%
3410000 28
 
3.5%
3440000 20
 
2.5%
5141000 5
 
0.6%
ValueCountFrequency (%)
3410000 28
 
3.5%
3420000 101
12.6%
3430000 37
 
4.6%
3440000 20
 
2.5%
3450000 143
17.9%
3460000 194
24.3%
3470000 214
26.8%
3480000 57
 
7.1%
5141000 5
 
0.6%
ValueCountFrequency (%)
5141000 5
 
0.6%
3480000 57
 
7.1%
3470000 214
26.8%
3460000 194
24.3%
3450000 143
17.9%
3440000 20
 
2.5%
3430000 37
 
4.6%
3420000 101
12.6%
3410000 28
 
3.5%

관리번호
Text

Distinct269
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-29T21:11:40.424830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15980
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

Unique79 ?
Unique (%)9.9%

Sample

1st rowCDFH3301052007000001
2nd rowCDFH3301052012000001
3rd rowCDFH3301051998000001
4th rowCDFH3301052003000001
5th rowCDFH3301052005000002
ValueCountFrequency (%)
cdfh3301052012000001 9
 
1.1%
cdfh3301052010000001 9
 
1.1%
cdfh3301052007000001 8
 
1.0%
cdfh3301052010000002 8
 
1.0%
cdfh3301052018000001 8
 
1.0%
cdfh3301052009000001 8
 
1.0%
cdfh3301052014000001 8
 
1.0%
cdfh3301052010000003 8
 
1.0%
cdfh3301052016000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
Other values (259) 719
90.0%
2024-04-29T21:11:40.723360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6700
41.9%
3 1763
 
11.0%
1 1588
 
9.9%
2 1046
 
6.5%
5 923
 
5.8%
C 799
 
5.0%
D 799
 
5.0%
F 799
 
5.0%
H 799
 
5.0%
9 200
 
1.3%
Other values (4) 564
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12784
80.0%
Uppercase Letter 3196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6700
52.4%
3 1763
 
13.8%
1 1588
 
12.4%
2 1046
 
8.2%
5 923
 
7.2%
9 200
 
1.6%
8 157
 
1.2%
7 147
 
1.1%
4 142
 
1.1%
6 118
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 799
25.0%
D 799
25.0%
F 799
25.0%
H 799
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12784
80.0%
Latin 3196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6700
52.4%
3 1763
 
13.8%
1 1588
 
12.4%
2 1046
 
8.2%
5 923
 
7.2%
9 200
 
1.6%
8 157
 
1.2%
7 147
 
1.1%
4 142
 
1.1%
6 118
 
0.9%
Latin
ValueCountFrequency (%)
C 799
25.0%
D 799
25.0%
F 799
25.0%
H 799
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6700
41.9%
3 1763
 
11.0%
1 1588
 
9.9%
2 1046
 
6.5%
5 923
 
5.8%
C 799
 
5.0%
D 799
 
5.0%
F 799
 
5.0%
H 799
 
5.0%
9 200
 
1.3%
Other values (4) 564
 
3.5%

인허가일자
Date

Distinct728
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum1989-12-20 00:00:00
Maximum2024-03-14 00:00:00
2024-04-29T21:11:40.880054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:41.049542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
1
392 
3
361 
4
44 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 392
49.1%
3 361
45.2%
4 44
 
5.5%
2 2
 
0.3%

Length

2024-04-29T21:11:41.178421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:41.272715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 392
49.1%
3 361
45.2%
4 44
 
5.5%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
영업/정상
392 
폐업
361 
취소/말소/만료/정지/중지
44 
휴업
 
2

Length

Max length14
Median length5
Mean length4.1326658
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 392
49.1%
폐업 361
45.2%
취소/말소/만료/정지/중지 44
 
5.5%
휴업 2
 
0.3%

Length

2024-04-29T21:11:41.417268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:41.548428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 392
49.1%
폐업 361
45.2%
취소/말소/만료/정지/중지 44
 
5.5%
휴업 2
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
13
392 
3
360 
35
44 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.5469337
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 392
49.1%
3 360
45.1%
35 44
 
5.5%
2 2
 
0.3%
34 1
 
0.1%

Length

2024-04-29T21:11:41.651558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:41.758979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 392
49.1%
3 360
45.1%
35 44
 
5.5%
2 2
 
0.3%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
영업중
392 
폐업
360 
직권말소
44 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length4
Mean length2.6045056
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 392
49.1%
폐업 360
45.1%
직권말소 44
 
5.5%
휴업 2
 
0.3%
영업장폐쇄 1
 
0.1%

Length

2024-04-29T21:11:41.865504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:41.972199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 392
49.1%
폐업 360
45.1%
직권말소 44
 
5.5%
휴업 2
 
0.3%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct309
Distinct (%)76.5%
Missing395
Missing (%)49.4%
Memory size6.4 KiB
Minimum2003-01-31 00:00:00
Maximum2024-02-27 00:00:00
2024-04-29T21:11:42.084650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:42.219244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing797
Missing (%)99.7%
Memory size6.4 KiB
Minimum2019-12-18 00:00:00
Maximum2020-06-01 00:00:00
2024-04-29T21:11:42.320917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:42.409089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing797
Missing (%)99.7%
Memory size6.4 KiB
Minimum2021-12-17 00:00:00
Maximum2022-12-31 00:00:00
2024-04-29T21:11:42.507131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:42.602656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

소재지전화
Text

MISSING 

Distinct625
Distinct (%)96.9%
Missing154
Missing (%)19.3%
Memory size6.4 KiB
2024-04-29T21:11:42.841994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.542636
Min length7

Characters and Unicode

Total characters6800
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique606 ?
Unique (%)94.0%

Sample

1st row053)212-3780
2nd row427-8042
3rd row428-2217
4th row423-5516
5th row426-8900
ValueCountFrequency (%)
326-3079 3
 
0.5%
476-0077 2
 
0.3%
053-986-0050 2
 
0.3%
053 2
 
0.3%
958-1175 2
 
0.3%
981-0752 2
 
0.3%
053-763-0753 2
 
0.3%
053-635-8882 2
 
0.3%
326-6888 2
 
0.3%
053-965-0753 2
 
0.3%
Other values (618) 628
96.8%
2024-04-29T21:11:43.201725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1100
16.2%
- 1023
15.0%
5 986
14.5%
3 847
12.5%
7 657
9.7%
6 454
6.7%
2 399
 
5.9%
1 357
 
5.2%
8 343
 
5.0%
9 314
 
4.6%
Other values (5) 320
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5763
84.8%
Dash Punctuation 1023
 
15.0%
Close Punctuation 5
 
0.1%
Math Symbol 4
 
0.1%
Space Separator 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1100
19.1%
5 986
17.1%
3 847
14.7%
7 657
11.4%
6 454
7.9%
2 399
 
6.9%
1 357
 
6.2%
8 343
 
6.0%
9 314
 
5.4%
4 306
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1023
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1100
16.2%
- 1023
15.0%
5 986
14.5%
3 847
12.5%
7 657
9.7%
6 454
6.7%
2 399
 
5.9%
1 357
 
5.2%
8 343
 
5.0%
9 314
 
4.6%
Other values (5) 320
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1100
16.2%
- 1023
15.0%
5 986
14.5%
3 847
12.5%
7 657
9.7%
6 454
6.7%
2 399
 
5.9%
1 357
 
5.2%
8 343
 
5.0%
9 314
 
4.6%
Other values (5) 320
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

소재지우편번호
Text

MISSING 

Distinct232
Distinct (%)57.7%
Missing397
Missing (%)49.7%
Memory size6.4 KiB
2024-04-29T21:11:43.470934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2814
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

Unique142 ?
Unique (%)35.3%

Sample

1st row700-732
2nd row700-261
3rd row700-809
4th row700-412
5th row700-111
ValueCountFrequency (%)
704-940 11
 
2.7%
704-948 9
 
2.2%
702-886 9
 
2.2%
704-802 7
 
1.7%
704-816 6
 
1.5%
704-830 6
 
1.5%
704-837 6
 
1.5%
706-803 5
 
1.2%
704-928 5
 
1.2%
706-839 4
 
1.0%
Other values (222) 334
83.1%
2024-04-29T21:11:43.832017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 582
20.7%
7 453
16.1%
- 402
14.3%
8 295
10.5%
4 252
9.0%
2 188
 
6.7%
1 161
 
5.7%
3 141
 
5.0%
6 137
 
4.9%
9 115
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2412
85.7%
Dash Punctuation 402
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 582
24.1%
7 453
18.8%
8 295
12.2%
4 252
10.4%
2 188
 
7.8%
1 161
 
6.7%
3 141
 
5.8%
6 137
 
5.7%
9 115
 
4.8%
5 88
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 582
20.7%
7 453
16.1%
- 402
14.3%
8 295
10.5%
4 252
9.0%
2 188
 
6.7%
1 161
 
5.7%
3 141
 
5.0%
6 137
 
4.9%
9 115
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 582
20.7%
7 453
16.1%
- 402
14.3%
8 295
10.5%
4 252
9.0%
2 188
 
6.7%
1 161
 
5.7%
3 141
 
5.0%
6 137
 
4.9%
9 115
 
4.1%

소재지전체주소
Text

MISSING 

Distinct764
Distinct (%)96.8%
Missing10
Missing (%)1.3%
Memory size6.4 KiB
2024-04-29T21:11:44.106781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.006337
Min length13

Characters and Unicode

Total characters18941
Distinct characters268
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique741 ?
Unique (%)93.9%

Sample

1st row대구광역시 중구 동인동2가 50-3번지 호수빌딩 7M층
2nd row대구광역시 중구 서성로1가 109번지
3rd row대구광역시 중구 대봉동 44-215번지
4th row대구광역시 중구 삼덕동2가 28-1번지
5th row대구광역시 중구 태평로1가 15번지
ValueCountFrequency (%)
대구광역시 789
 
21.3%
달서구 205
 
5.5%
수성구 194
 
5.2%
북구 143
 
3.9%
동구 101
 
2.7%
달성군 57
 
1.5%
지하1층 54
 
1.5%
2층 53
 
1.4%
서구 36
 
1.0%
범어동 33
 
0.9%
Other values (1077) 2044
55.1%
2024-04-29T21:11:44.518059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3681
19.4%
구 1529
 
8.1%
동 911
 
4.8%
1 893
 
4.7%
대 826
 
4.4%
시 805
 
4.3%
광 791
 
4.2%
역 791
 
4.2%
- 604
 
3.2%
지 590
 
3.1%
Other values (258) 7520
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10665
56.3%
Decimal Number 3868
 
20.4%
Space Separator 3681
 
19.4%
Dash Punctuation 604
 
3.2%
Close Punctuation 33
 
0.2%
Open Punctuation 33
 
0.2%
Other Punctuation 33
 
0.2%
Uppercase Letter 19
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1529
14.3%
동 911
 
8.5%
대 826
 
7.7%
시 805
 
7.5%
광 791
 
7.4%
역 791
 
7.4%
지 590
 
5.5%
번 439
 
4.1%
성 334
 
3.1%
서 276
 
2.6%
Other values (233) 3373
31.6%
Decimal Number
ValueCountFrequency (%)
1 893
23.1%
2 540
14.0%
3 455
11.8%
4 356
 
9.2%
0 332
 
8.6%
5 325
 
8.4%
8 271
 
7.0%
6 248
 
6.4%
7 246
 
6.4%
9 202
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 11
57.9%
A 3
 
15.8%
M 2
 
10.5%
G 1
 
5.3%
C 1
 
5.3%
S 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 27
81.8%
/ 3
 
9.1%
. 2
 
6.1%
@ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
3681
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10665
56.3%
Common 8257
43.6%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1529
14.3%
동 911
 
8.5%
대 826
 
7.7%
시 805
 
7.5%
광 791
 
7.4%
역 791
 
7.4%
지 590
 
5.5%
번 439
 
4.1%
성 334
 
3.1%
서 276
 
2.6%
Other values (233) 3373
31.6%
Common
ValueCountFrequency (%)
3681
44.6%
1 893
 
10.8%
- 604
 
7.3%
2 540
 
6.5%
3 455
 
5.5%
4 356
 
4.3%
0 332
 
4.0%
5 325
 
3.9%
8 271
 
3.3%
6 248
 
3.0%
Other values (9) 552
 
6.7%
Latin
ValueCountFrequency (%)
B 11
57.9%
A 3
 
15.8%
M 2
 
10.5%
G 1
 
5.3%
C 1
 
5.3%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10665
56.3%
ASCII 8276
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3681
44.5%
1 893
 
10.8%
- 604
 
7.3%
2 540
 
6.5%
3 455
 
5.5%
4 356
 
4.3%
0 332
 
4.0%
5 325
 
3.9%
8 271
 
3.3%
6 248
 
3.0%
Other values (15) 571
 
6.9%
Hangul
ValueCountFrequency (%)
구 1529
14.3%
동 911
 
8.5%
대 826
 
7.7%
시 805
 
7.5%
광 791
 
7.4%
역 791
 
7.4%
지 590
 
5.5%
번 439
 
4.1%
성 334
 
3.1%
서 276
 
2.6%
Other values (233) 3373
31.6%

도로명전체주소
Text

MISSING 

Distinct770
Distinct (%)97.8%
Missing12
Missing (%)1.5%
Memory size6.4 KiB
2024-04-29T21:11:44.865070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length52
Mean length28.303685
Min length19

Characters and Unicode

Total characters22275
Distinct characters316
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)95.8%

Sample

1st row대구광역시 중구 경상감영길 1 (서성로1가)
2nd row대구광역시 중구 대봉로 220-73 (대봉동)
3rd row대구광역시 중구 공평로8길 29 (삼덕동2가)
4th row대구광역시 중구 태평로 192 (태평로1가)
5th row대구광역시 중구 동성로1길 38 (봉산동)
ValueCountFrequency (%)
대구광역시 787
 
17.5%
달서구 210
 
4.7%
수성구 192
 
4.3%
북구 143
 
3.2%
동구 100
 
2.2%
2층 62
 
1.4%
달성군 56
 
1.2%
3층 43
 
1.0%
서구 37
 
0.8%
달구벌대로 37
 
0.8%
Other values (1134) 2821
62.9%
2024-04-29T21:11:45.376993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3816
 
17.1%
구 1632
 
7.3%
동 1033
 
4.6%
대 973
 
4.4%
시 806
 
3.6%
광 793
 
3.6%
역 792
 
3.6%
로 774
 
3.5%
1 772
 
3.5%
( 743
 
3.3%
Other values (306) 10141
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12949
58.1%
Space Separator 3816
 
17.1%
Decimal Number 3313
 
14.9%
Open Punctuation 743
 
3.3%
Close Punctuation 743
 
3.3%
Other Punctuation 565
 
2.5%
Dash Punctuation 107
 
0.5%
Uppercase Letter 28
 
0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1632
 
12.6%
동 1033
 
8.0%
대 973
 
7.5%
시 806
 
6.2%
광 793
 
6.1%
역 792
 
6.1%
로 774
 
6.0%
성 382
 
3.0%
층 380
 
2.9%
달 337
 
2.6%
Other values (277) 5047
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
39.3%
A 4
 
14.3%
L 2
 
7.1%
G 2
 
7.1%
C 2
 
7.1%
S 2
 
7.1%
M 1
 
3.6%
P 1
 
3.6%
T 1
 
3.6%
K 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 772
23.3%
2 543
16.4%
3 370
11.2%
4 303
 
9.1%
0 296
 
8.9%
5 269
 
8.1%
6 232
 
7.0%
7 196
 
5.9%
9 167
 
5.0%
8 165
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 559
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3816
100.0%
Open Punctuation
ValueCountFrequency (%)
( 743
100.0%
Close Punctuation
ValueCountFrequency (%)
) 743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12949
58.1%
Common 9298
41.7%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1632
 
12.6%
동 1033
 
8.0%
대 973
 
7.5%
시 806
 
6.2%
광 793
 
6.1%
역 792
 
6.1%
로 774
 
6.0%
성 382
 
3.0%
층 380
 
2.9%
달 337
 
2.6%
Other values (277) 5047
39.0%
Common
ValueCountFrequency (%)
3816
41.0%
1 772
 
8.3%
( 743
 
8.0%
) 743
 
8.0%
, 559
 
6.0%
2 543
 
5.8%
3 370
 
4.0%
4 303
 
3.3%
0 296
 
3.2%
5 269
 
2.9%
Other values (8) 884
 
9.5%
Latin
ValueCountFrequency (%)
B 11
39.3%
A 4
 
14.3%
L 2
 
7.1%
G 2
 
7.1%
C 2
 
7.1%
S 2
 
7.1%
M 1
 
3.6%
P 1
 
3.6%
T 1
 
3.6%
K 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12949
58.1%
ASCII 9326
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3816
40.9%
1 772
 
8.3%
( 743
 
8.0%
) 743
 
8.0%
, 559
 
6.0%
2 543
 
5.8%
3 370
 
4.0%
4 303
 
3.2%
0 296
 
3.2%
5 269
 
2.9%
Other values (19) 912
 
9.8%
Hangul
ValueCountFrequency (%)
구 1632
 
12.6%
동 1033
 
8.0%
대 973
 
7.5%
시 806
 
6.2%
광 793
 
6.1%
역 792
 
6.1%
로 774
 
6.0%
성 382
 
3.0%
층 380
 
2.9%
달 337
 
2.6%
Other values (277) 5047
39.0%

도로명우편번호
Text

MISSING 

Distinct377
Distinct (%)65.2%
Missing221
Missing (%)27.7%
Memory size6.4 KiB
2024-04-29T21:11:45.654844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1141869
Min length5

Characters and Unicode

Total characters2956
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

Unique254 ?
Unique (%)43.9%

Sample

1st row700-261
2nd row41954
3rd row41940
4th row41910
5th row700-823
ValueCountFrequency (%)
41423 13
 
2.2%
41422 7
 
1.2%
42187 6
 
1.0%
41475 6
 
1.0%
41026 6
 
1.0%
42921 6
 
1.0%
42038 5
 
0.9%
41086 5
 
0.9%
42217 5
 
0.9%
42175 4
 
0.7%
Other values (367) 515
89.1%
2024-04-29T21:11:46.054781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 723
24.5%
2 506
17.1%
1 472
16.0%
7 238
 
8.1%
0 237
 
8.0%
8 170
 
5.8%
5 156
 
5.3%
9 148
 
5.0%
6 147
 
5.0%
3 126
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2923
98.9%
Dash Punctuation 33
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 723
24.7%
2 506
17.3%
1 472
16.1%
7 238
 
8.1%
0 237
 
8.1%
8 170
 
5.8%
5 156
 
5.3%
9 148
 
5.1%
6 147
 
5.0%
3 126
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2956
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 723
24.5%
2 506
17.1%
1 472
16.0%
7 238
 
8.1%
0 237
 
8.0%
8 170
 
5.8%
5 156
 
5.3%
9 148
 
5.0%
6 147
 
5.0%
3 126
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 723
24.5%
2 506
17.1%
1 472
16.0%
7 238
 
8.1%
0 237
 
8.0%
8 170
 
5.8%
5 156
 
5.3%
9 148
 
5.0%
6 147
 
5.0%
3 126
 
4.3%

사업장명
Text

Distinct747
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-29T21:11:46.296561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.2377972
Min length2

Characters and Unicode

Total characters6582
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique700 ?
Unique (%)87.6%

Sample

1st row우리들골프휘트니스
2nd row삼정골프
3rd row청운골프스쿨
4th row비앤제이
5th row청량골프
ValueCountFrequency (%)
골프 47
 
4.2%
스크린골프 37
 
3.3%
스크린 36
 
3.2%
골프연습장 32
 
2.9%
아카데미 24
 
2.2%
골프아카데미 13
 
1.2%
스크린골프연습장 9
 
0.8%
골프존 7
 
0.6%
golf 6
 
0.5%
주식회사 6
 
0.5%
Other values (792) 895
80.5%
2024-04-29T21:11:46.662706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 722
 
11.0%
골 713
 
10.8%
스 469
 
7.1%
크 344
 
5.2%
린 333
 
5.1%
313
 
4.8%
장 227
 
3.4%
연 219
 
3.3%
습 217
 
3.3%
아 116
 
1.8%
Other values (382) 2909
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5834
88.6%
Space Separator 313
 
4.8%
Uppercase Letter 305
 
4.6%
Close Punctuation 29
 
0.4%
Decimal Number 29
 
0.4%
Open Punctuation 28
 
0.4%
Lowercase Letter 28
 
0.4%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 722
 
12.4%
골 713
 
12.2%
스 469
 
8.0%
크 344
 
5.9%
린 333
 
5.7%
장 227
 
3.9%
연 219
 
3.8%
습 217
 
3.7%
아 116
 
2.0%
카 103
 
1.8%
Other values (332) 2371
40.6%
Uppercase Letter
ValueCountFrequency (%)
G 58
19.0%
S 42
13.8%
M 21
 
6.9%
J 20
 
6.6%
K 19
 
6.2%
D 15
 
4.9%
T 14
 
4.6%
R 13
 
4.3%
B 13
 
4.3%
P 10
 
3.3%
Other values (13) 80
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
o 4
14.3%
l 4
14.3%
f 3
10.7%
h 2
 
7.1%
t 2
 
7.1%
n 2
 
7.1%
k 1
 
3.6%
j 1
 
3.6%
r 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
2 8
27.6%
1 6
20.7%
6 4
13.8%
4 4
13.8%
5 3
 
10.3%
7 2
 
6.9%
3 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
& 8
53.3%
. 5
33.3%
/ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5834
88.6%
Common 415
 
6.3%
Latin 333
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 722
 
12.4%
골 713
 
12.2%
스 469
 
8.0%
크 344
 
5.9%
린 333
 
5.7%
장 227
 
3.9%
연 219
 
3.8%
습 217
 
3.7%
아 116
 
2.0%
카 103
 
1.8%
Other values (332) 2371
40.6%
Latin
ValueCountFrequency (%)
G 58
17.4%
S 42
 
12.6%
M 21
 
6.3%
J 20
 
6.0%
K 19
 
5.7%
D 15
 
4.5%
T 14
 
4.2%
R 13
 
3.9%
B 13
 
3.9%
P 10
 
3.0%
Other values (26) 108
32.4%
Common
ValueCountFrequency (%)
313
75.4%
) 29
 
7.0%
( 28
 
6.7%
& 8
 
1.9%
2 8
 
1.9%
1 6
 
1.4%
. 5
 
1.2%
6 4
 
1.0%
4 4
 
1.0%
5 3
 
0.7%
Other values (4) 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5834
88.6%
ASCII 748
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 722
 
12.4%
골 713
 
12.2%
스 469
 
8.0%
크 344
 
5.9%
린 333
 
5.7%
장 227
 
3.9%
연 219
 
3.8%
습 217
 
3.7%
아 116
 
2.0%
카 103
 
1.8%
Other values (332) 2371
40.6%
ASCII
ValueCountFrequency (%)
313
41.8%
G 58
 
7.8%
S 42
 
5.6%
) 29
 
3.9%
( 28
 
3.7%
M 21
 
2.8%
J 20
 
2.7%
K 19
 
2.5%
D 15
 
2.0%
T 14
 
1.9%
Other values (40) 189
25.3%

최종수정시점
Date

UNIQUE 

Distinct799
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2003-01-27 14:34:39
Maximum2024-03-27 13:01:33
2024-04-29T21:11:46.786982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:46.907215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
U
484 
I
315 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 484
60.6%
I 315
39.4%

Length

2024-04-29T21:11:47.032128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:47.127035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 484
60.6%
i 315
39.4%

데이터갱신일자
Date

Distinct316
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-29 02:40:00
2024-04-29T21:11:47.229151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:47.355917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct669
Distinct (%)85.4%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean342972.21
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-29T21:11:47.719694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile333440.07
Q1338721.46
median343177.79
Q3346848.22
95-th percentile354277.36
Maximum357870.14
Range30371.807
Interquartile range (IQR)8126.7577

Descriptive statistics

Standard deviation5893.4888
Coefficient of variation (CV)0.017183576
Kurtosis-0.30709954
Mean342972.21
Median Absolute Deviation (MAD)4002.2759
Skewness0.15406846
Sum2.6854724 × 108
Variance34733211
MonotonicityNot monotonic
2024-04-29T21:11:47.836501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340895.569122613 5
 
0.6%
339849.860777837 5
 
0.6%
351945.298975239 4
 
0.5%
346769.820444211 3
 
0.4%
338706.883294401 3
 
0.4%
343989.148954259 3
 
0.4%
340873.134186707 3
 
0.4%
344246.836165185 3
 
0.4%
339574.568457952 3
 
0.4%
346271.979581791 3
 
0.4%
Other values (659) 748
93.6%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
327498.328919814 1
0.1%
328171.38241643 1
0.1%
328293.623590322 1
0.1%
328835.504223247 1
0.1%
329730.405935653 1
0.1%
329813.136009712 1
0.1%
329931.551476846 1
0.1%
330010.742978997 1
0.1%
330325.906026892 1
0.1%
330435.153561728 2
0.3%
ValueCountFrequency (%)
357870.136201308 1
0.1%
357832.242269486 1
0.1%
356433.80989924 2
0.3%
356353.915440362 1
0.1%
356351.617490545 1
0.1%
356310.91765893 1
0.1%
355769.203833617 1
0.1%
355716.735045617 1
0.1%
355698.810726211 1
0.1%
355694.01492302 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct669
Distinct (%)85.4%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263289.4
Minimum238769.81
Maximum306176.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-29T21:11:47.966792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257359.61
Q1260293.52
median263030.28
Q3265318.02
95-th percentile272482.63
Maximum306176.29
Range67406.474
Interquartile range (IQR)5024.5014

Descriptive statistics

Standard deviation5973.488
Coefficient of variation (CV)0.022687917
Kurtosis14.821142
Mean263289.4
Median Absolute Deviation (MAD)2499.272
Skewness1.5637511
Sum2.061556 × 108
Variance35682559
MonotonicityNot monotonic
2024-04-29T21:11:48.096441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272482.628300685 5
 
0.6%
257521.210538211 5
 
0.6%
265312.312735967 4
 
0.5%
259787.645722047 3
 
0.4%
257347.594572499 3
 
0.4%
265465.247822228 3
 
0.4%
272651.408529432 3
 
0.4%
270460.631388069 3
 
0.4%
267880.681218 3
 
0.4%
259441.744147136 3
 
0.4%
Other values (659) 748
93.6%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
238769.812521748 1
0.1%
239961.682616529 1
0.1%
240790.294842875 1
0.1%
243626.759583297 1
0.1%
243669.128702281 1
0.1%
244258.573643283 1
0.1%
244402.559937905 1
0.1%
244623.565628627 1
0.1%
244661.838228877 1
0.1%
244677.980445693 1
0.1%
ValueCountFrequency (%)
306176.286570225 1
0.1%
306134.859694189 1
0.1%
305282.664426927 1
0.1%
304760.640516535 1
0.1%
298978.8512836 1
0.1%
274284.783060572 1
0.1%
273873.569896227 2
0.3%
273573.031507575 1
0.1%
273523.341721362 1
0.1%
273408.810725525 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
골프연습장업
799 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 799
100.0%

Length

2024-04-29T21:11:48.220320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:48.307153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 799
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
사립
799 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 799
100.0%

Length

2024-04-29T21:11:48.398669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:48.488920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 799
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
629 
0
86 
Y
84 

Length

Max length4
Median length4
Mean length3.3617021
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> 629
78.7%
0 86
 
10.8%
Y 84
 
10.5%

Length

2024-04-29T21:11:48.591054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:48.718367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
78.7%
0 86
 
10.8%
y 84
 
10.5%

지도자수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
602 
0
149 
1
 
41
2
 
7

Length

Max length4
Median length4
Mean length3.2603254
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> 602
75.3%
0 149
 
18.6%
1 41
 
5.1%
2 7
 
0.9%

Length

2024-04-29T21:11:48.830973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:48.934779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 602
75.3%
0 149
 
18.6%
1 41
 
5.1%
2 7
 
0.9%

건축물동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
571 
0
139 
1
87 
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.1439299
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 571
71.5%
0 139
 
17.4%
1 87
 
10.9%
2 1
 
0.1%
3 1
 
0.1%

Length

2024-04-29T21:11:49.041649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:49.151954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
71.5%
0 139
 
17.4%
1 87
 
10.9%
2 1
 
0.1%
3 1
 
0.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct217
Distinct (%)62.5%
Missing452
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean3655.1727
Minimum0
Maximum488305
Zeros117
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-29T21:11:49.268515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median659.61
Q31941.115
95-th percentile6662.836
Maximum488305
Range488305
Interquartile range (IQR)1941.115

Descriptive statistics

Standard deviation27509.54
Coefficient of variation (CV)7.5261944
Kurtosis281.76835
Mean3655.1727
Median Absolute Deviation (MAD)659.61
Skewness16.24602
Sum1268344.9
Variance7.5677479 × 108
MonotonicityNot monotonic
2024-04-29T21:11:49.405896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 117
 
14.6%
1917.34 2
 
0.3%
4991.45 2
 
0.3%
3653.0 2
 
0.3%
2677.94 2
 
0.3%
1157.22 2
 
0.3%
1284.46 2
 
0.3%
99.0 2
 
0.3%
2044.54 2
 
0.3%
1604.69 2
 
0.3%
Other values (207) 212
26.5%
(Missing) 452
56.6%
ValueCountFrequency (%)
0.0 117
14.6%
83.0 1
 
0.1%
99.0 2
 
0.3%
127.9 1
 
0.1%
148.66 1
 
0.1%
151.0 1
 
0.1%
201.96 1
 
0.1%
202.01 1
 
0.1%
211.23 1
 
0.1%
225.11 1
 
0.1%
ValueCountFrequency (%)
488305.0 1
0.1%
131035.57 1
0.1%
74943.96 1
0.1%
46167.34 1
0.1%
25094.42 1
0.1%
15590.0 1
0.1%
13667.74 1
0.1%
12020.42 1
0.1%
11839.94 1
0.1%
9856.75 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
640 
0
157 
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.4067584
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 640
80.1%
0 157
 
19.6%
50 1
 
0.1%
100 1
 
0.1%

Length

2024-04-29T21:11:49.546040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:49.654465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 640
80.1%
0 157
 
19.6%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing799
Missing (%)100.0%
Memory size7.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01골프연습장업10_31_01_P3410000CDFH33010520070000012007-11-05<NA>3폐업3폐업2009-11-25<NA><NA><NA>053)212-3780<NA>700-732대구광역시 중구 동인동2가 50-3번지 호수빌딩 7M층<NA><NA>우리들골프휘트니스2009-11-26 10:32:52I2018-08-31 23:59:59<NA>344542.752498264410.068753골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
12골프연습장업10_31_01_P3410000CDFH33010520120000012012-11-29<NA>4취소/말소/만료/정지/중지35직권말소2014-06-12<NA><NA><NA><NA><NA>700-261대구광역시 중구 서성로1가 109번지대구광역시 중구 경상감영길 1 (서성로1가)700-261삼정골프2014-06-12 14:18:35I2018-08-31 23:59:59<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23골프연습장업10_31_01_P3410000CDFH33010519980000011998-12-21<NA>3폐업3폐업2019-06-14<NA><NA><NA>427-8042<NA>700-809대구광역시 중구 대봉동 44-215번지대구광역시 중구 대봉로 220-73 (대봉동)41954청운골프스쿨2019-06-14 10:07:32U2019-06-16 02:40:00<NA>344769.018938263320.374802골프연습장업사립<NA><NA><NA>328.5<NA><NA><NA>
34골프연습장업10_31_01_P3410000CDFH33010520030000012003-02-19<NA>3폐업3폐업2018-09-11<NA><NA><NA>428-2217<NA>700-412대구광역시 중구 삼덕동2가 28-1번지대구광역시 중구 공평로8길 29 (삼덕동2가)41940비앤제이2018-09-11 15:13:36U2018-09-11 23:59:59<NA>344584.392161264140.939983골프연습장업사립<NA><NA><NA>895.05<NA><NA><NA>
45골프연습장업10_31_01_P3410000CDFH33010520050000022005-03-21<NA>3폐업3폐업2019-05-03<NA><NA><NA><NA><NA>700-111대구광역시 중구 태평로1가 15번지대구광역시 중구 태평로 192 (태평로1가)41910청량골프2019-05-03 17:39:53U2019-05-05 02:40:00<NA>344297.109016264941.456813골프연습장업사립<NA><NA><NA>714.28<NA><NA><NA>
56골프연습장업10_31_01_P3410000CDFH33010520080000022008-05-27<NA>3폐업3폐업2013-03-25<NA><NA><NA>423-5516<NA>700-822대구광역시 중구 봉산동 35-15번지대구광역시 중구 동성로1길 38 (봉산동)700-823메니아스크린골프2014-01-23 14:42:35I2018-08-31 23:59:59<NA>344024.728712264053.735679골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
67골프연습장업10_31_01_P3410000CDFH33010520080000042008-10-15<NA>3폐업3폐업2023-08-08<NA><NA><NA>426-8900<NA><NA>대구광역시 중구 동인동1가 362 삼승슈퍼타워 201호대구광역시 중구 신암로 6 (동인동1가, 삼승슈퍼타워아파트)41904에스에스 골프클럽2023-08-08 18:00:23U2023-08-10 02:40:00<NA>344886.028177264849.333099골프연습장업사립<NA>0015590.00<NA><NA>
78골프연습장업10_31_01_P3410000CDFH33010520170000012017-05-08<NA>3폐업3폐업2020-06-17<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가대구광역시 중구 경상감영길 101, 중앙상가 (포정동)41918와우스크린골프2020-06-17 14:39:08U2020-06-19 02:40:00<NA>343800.362369264745.47733골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
89골프연습장업10_31_01_P3410000CDFH33010520170000022017-09-14<NA>3폐업3폐업2020-06-17<NA><NA><NA>053-428-7007<NA><NA>대구광역시 중구 동인동2가 108-17번지 종각빌딩대구광역시 중구 국채보상로 673, 종각빌딩 (동인동2가)41908종각스크린골프2020-06-17 09:30:29U2020-06-19 02:40:00<NA>344834.342272264443.735234골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
910골프연습장업10_31_01_P3410000CDFH33010520170000032017-12-21<NA>3폐업3폐업2019-12-19<NA><NA><NA>053-423-0707<NA><NA>대구광역시 중구 동인동1가 71번지대구광역시 중구 공평로 104 (동인동1가)41911대박스크린골프2019-12-19 13:48:14U2019-12-21 02:40:00<NA>344560.477197264846.507527골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
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