Overview

Dataset statistics

Number of variables37
Number of observations785
Missing cells6443
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory244.7 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년06월_6270000_대구광역시_10_31_01_P_골프연습장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093751&dataSetDetailId=DDI_0000093794&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.6%)Imbalance
휴업종료일자 is highly imbalanced (98.6%)Imbalance
지도자수 is highly imbalanced (62.5%)Imbalance
회원모집총인원 is highly imbalanced (77.8%)Imbalance
인허가취소일자 has 785 (100.0%) missing valuesMissing
폐업일자 has 418 (53.2%) missing valuesMissing
재개업일자 has 785 (100.0%) missing valuesMissing
소재지전화 has 155 (19.7%) missing valuesMissing
소재지면적 has 785 (100.0%) missing valuesMissing
소재지우편번호 has 383 (48.8%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.5%) missing valuesMissing
도로명우편번호 has 219 (27.9%) missing valuesMissing
업태구분명 has 785 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.0%) missing valuesMissing
좌표정보(Y) has 16 (2.0%) missing valuesMissing
건축물연면적 has 504 (64.2%) missing valuesMissing
세부업종명 has 785 (100.0%) missing valuesMissing
법인명 has 785 (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 55 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 20:16:40.567646
Analysis finished2023-12-10 20:16:41.713904
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct785
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean393
Minimum1
Maximum785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:41.858363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.2
Q1197
median393
Q3589
95-th percentile745.8
Maximum785
Range784
Interquartile range (IQR)392

Descriptive statistics

Standard deviation226.75427
Coefficient of variation (CV)0.57698288
Kurtosis-1.2
Mean393
Median Absolute Deviation (MAD)196
Skewness0
Sum308505
Variance51417.5
MonotonicityStrictly increasing
2023-12-11T05:16:42.400131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
517 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
525 1
 
0.1%
526 1
 
0.1%
Other values (775) 775
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 (%)
785 1
0.1%
784 1
0.1%
783 1
0.1%
782 1
0.1%
781 1
0.1%
780 1
0.1%
779 1
0.1%
778 1
0.1%
777 1
0.1%
776 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
골프연습장업
785 

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 785
100.0%

Length

2023-12-11T05:16:42.609685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:42.749757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 785
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
10_31_01_P
785 

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 785
100.0%

Length

2023-12-11T05:16:42.904462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:43.049309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 785
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453477.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:43.185729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation19398.015
Coefficient of variation (CV)0.005616951
Kurtosis-0.45661785
Mean3453477.7
Median Absolute Deviation (MAD)10000
Skewness-0.80096198
Sum2.71098 × 109
Variance3.7628298 × 108
MonotonicityIncreasing
2023-12-11T05:16:43.378415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 210
26.8%
3460000 193
24.6%
3450000 143
18.2%
3420000 101
12.9%
3480000 55
 
7.0%
3430000 35
 
4.5%
3410000 28
 
3.6%
3440000 20
 
2.5%
ValueCountFrequency (%)
3410000 28
 
3.6%
3420000 101
12.9%
3430000 35
 
4.5%
3440000 20
 
2.5%
3450000 143
18.2%
3460000 193
24.6%
3470000 210
26.8%
3480000 55
 
7.0%
ValueCountFrequency (%)
3480000 55
 
7.0%
3470000 210
26.8%
3460000 193
24.6%
3450000 143
18.2%
3440000 20
 
2.5%
3430000 35
 
4.5%
3420000 101
12.9%
3410000 28
 
3.6%

관리번호
Text

Distinct264
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T05:16:43.700162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15700
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

Unique76 ?
Unique (%)9.7%

Sample

1st rowCDFH3301052007000001
2nd rowCDFH3301052012000001
3rd rowCDFH3301051998000001
4th rowCDFH3301052003000001
5th rowCDFH3301052005000002
ValueCountFrequency (%)
cdfh3301052007000001 8
 
1.0%
cdfh3301052010000002 8
 
1.0%
cdfh3301052012000001 8
 
1.0%
cdfh3301052010000001 8
 
1.0%
cdfh3301052010000003 8
 
1.0%
cdfh3301052009000001 7
 
0.9%
cdfh3301052018000001 7
 
0.9%
cdfh3301052011000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
cdfh3301052008000003 7
 
0.9%
Other values (254) 710
90.4%
2023-12-11T05:16:44.172970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6586
41.9%
3 1728
 
11.0%
1 1560
 
9.9%
2 1018
 
6.5%
5 909
 
5.8%
C 785
 
5.0%
D 785
 
5.0%
F 785
 
5.0%
H 785
 
5.0%
9 199
 
1.3%
Other values (4) 560
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12560
80.0%
Uppercase Letter 3140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6586
52.4%
3 1728
 
13.8%
1 1560
 
12.4%
2 1018
 
8.1%
5 909
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 146
 
1.2%
4 140
 
1.1%
6 118
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 785
25.0%
D 785
25.0%
F 785
25.0%
H 785
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12560
80.0%
Latin 3140
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6586
52.4%
3 1728
 
13.8%
1 1560
 
12.4%
2 1018
 
8.1%
5 909
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 146
 
1.2%
4 140
 
1.1%
6 118
 
0.9%
Latin
ValueCountFrequency (%)
C 785
25.0%
D 785
25.0%
F 785
25.0%
H 785
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6586
41.9%
3 1728
 
11.0%
1 1560
 
9.9%
2 1018
 
6.5%
5 909
 
5.8%
C 785
 
5.0%
D 785
 
5.0%
F 785
 
5.0%
H 785
 
5.0%
9 199
 
1.3%
Other values (4) 560
 
3.6%

인허가일자
Real number (ℝ)

Distinct714
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100397
Minimum19891220
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:44.412875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20002915
Q120070403
median20091208
Q320141112
95-th percentile20200189
Maximum20220628
Range329408
Interquartile range (IQR)70709

Descriptive statistics

Standard deviation60428.675
Coefficient of variation (CV)0.0030063423
Kurtosis0.32696963
Mean20100397
Median Absolute Deviation (MAD)31091
Skewness-0.30039554
Sum1.5778812 × 1010
Variance3.6516247 × 109
MonotonicityNot monotonic
2023-12-11T05:16:44.628730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070919 3
 
0.4%
20111108 3
 
0.4%
20080521 3
 
0.4%
20080527 3
 
0.4%
20070703 3
 
0.4%
20100325 3
 
0.4%
20070403 3
 
0.4%
20070607 3
 
0.4%
20080708 2
 
0.3%
19900104 2
 
0.3%
Other values (704) 757
96.4%
ValueCountFrequency (%)
19891220 1
0.1%
19900104 2
0.3%
19900308 1
0.1%
19901029 1
0.1%
19920326 1
0.1%
19920722 1
0.1%
19921005 1
0.1%
19930323 1
0.1%
19930424 1
0.1%
19930712 1
0.1%
ValueCountFrequency (%)
20220628 1
0.1%
20220523 1
0.1%
20220518 1
0.1%
20220405 1
0.1%
20220329 1
0.1%
20220311 1
0.1%
20220307 1
0.1%
20220302 1
0.1%
20211227 1
0.1%
20211201 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
416 
3
324 
4
44 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 416
53.0%
3 324
41.3%
4 44
 
5.6%
2 1
 
0.1%

Length

2023-12-11T05:16:44.858359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:45.029476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 416
53.0%
3 324
41.3%
4 44
 
5.6%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
416 
폐업
324 
취소/말소/만료/정지/중지
44 
휴업
 
1

Length

Max length14
Median length5
Mean length4.2624204
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 416
53.0%
폐업 324
41.3%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

Length

2023-12-11T05:16:45.239663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:45.453481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 416
53.0%
폐업 324
41.3%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
13
416 
3
323 
35
44 
34
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.5872611
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 416
53.0%
3 323
41.1%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T05:16:45.673233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:45.864040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 416
53.0%
3 323
41.1%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업중
416 
폐업
323 
직권말소
44 
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length3
Mean length2.6458599
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 416
53.0%
폐업 323
41.1%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

Length

2023-12-11T05:16:46.074185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:46.272136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 416
53.0%
폐업 323
41.1%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct275
Distinct (%)74.9%
Missing418
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean20158952
Minimum20030131
Maximum20220617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:46.490988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20060254
Q120130572
median20170718
Q320200617
95-th percentile20211080
Maximum20220617
Range190486
Interquartile range (IQR)70045

Descriptive statistics

Standard deviation48315.853
Coefficient of variation (CV)0.0023967443
Kurtosis-0.13444612
Mean20158952
Median Absolute Deviation (MAD)30308
Skewness-0.85454679
Sum7.3983355 × 109
Variance2.3344217 × 109
MonotonicityNot monotonic
2023-12-11T05:16:46.726523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210219 16
 
2.0%
20170718 13
 
1.7%
20200617 9
 
1.1%
20140120 8
 
1.0%
20190729 7
 
0.9%
20180905 6
 
0.8%
20190329 6
 
0.8%
20181026 5
 
0.6%
20210115 4
 
0.5%
20190705 3
 
0.4%
Other values (265) 290
36.9%
(Missing) 418
53.2%
ValueCountFrequency (%)
20030131 1
0.1%
20030319 1
0.1%
20030624 1
0.1%
20040203 1
0.1%
20040305 1
0.1%
20040316 1
0.1%
20040413 1
0.1%
20040501 1
0.1%
20040531 1
0.1%
20040623 1
0.1%
ValueCountFrequency (%)
20220617 1
0.1%
20220615 1
0.1%
20220602 2
0.3%
20220524 1
0.1%
20220503 1
0.1%
20220328 1
0.1%
20220325 1
0.1%
20220324 2
0.3%
20220323 2
0.3%
20220228 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
784 
20191218
 
1

Length

Max length8
Median length4
Mean length4.0050955
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
99.9%
20191218 1
 
0.1%

Length

2023-12-11T05:16:46.964633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:47.142643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
99.9%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
784 
20211217
 
1

Length

Max length8
Median length4
Mean length4.0050955
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
99.9%
20211217 1
 
0.1%

Length

2023-12-11T05:16:47.327419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:47.466107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
99.9%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

소재지전화
Text

MISSING 

Distinct609
Distinct (%)96.7%
Missing155
Missing (%)19.7%
Memory size6.3 KiB
2023-12-11T05:16:47.846170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.393651
Min length7

Characters and Unicode

Total characters6548
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

Unique589 ?
Unique (%)93.5%

Sample

1st row053)212-3780
2nd row427-8042
3rd row428-2217
4th row423-5516
5th row053-428-7007
ValueCountFrequency (%)
326-3079 3
 
0.5%
958-1175 2
 
0.3%
053-754-0753 2
 
0.3%
053 2
 
0.3%
053-763-0753 2
 
0.3%
053-552-0202 2
 
0.3%
053-637-0046 2
 
0.3%
981-0752 2
 
0.3%
053-964-1237 2
 
0.3%
291-9090 2
 
0.3%
Other values (602) 613
96.7%
2023-12-11T05:16:48.463637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1050
16.0%
- 976
14.9%
5 941
14.4%
3 810
12.4%
7 648
9.9%
6 448
6.8%
2 375
 
5.7%
1 353
 
5.4%
8 333
 
5.1%
9 305
 
4.7%
Other values (5) 309
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5558
84.9%
Dash Punctuation 976
 
14.9%
Close Punctuation 4
 
0.1%
Math Symbol 4
 
0.1%
Space Separator 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1050
18.9%
5 941
16.9%
3 810
14.6%
7 648
11.7%
6 448
8.1%
2 375
 
6.7%
1 353
 
6.4%
8 333
 
6.0%
9 305
 
5.5%
4 295
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 976
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6548
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1050
16.0%
- 976
14.9%
5 941
14.4%
3 810
12.4%
7 648
9.9%
6 448
6.8%
2 375
 
5.7%
1 353
 
5.4%
8 333
 
5.1%
9 305
 
4.7%
Other values (5) 309
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1050
16.0%
- 976
14.9%
5 941
14.4%
3 810
12.4%
7 648
9.9%
6 448
6.8%
2 375
 
5.7%
1 353
 
5.4%
8 333
 
5.1%
9 305
 
4.7%
Other values (5) 309
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)57.2%
Missing383
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean704639.83
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:48.695148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile701040.5
Q1702887.75
median704830
Q3705835
95-th percentile706844.95
Maximum711857
Range11837
Interquartile range (IQR)2947.25

Descriptive statistics

Standard deviation2127.8786
Coefficient of variation (CV)0.0030198103
Kurtosis2.0382283
Mean704639.83
Median Absolute Deviation (MAD)1206.5
Skewness0.55073525
Sum2.8326521 × 108
Variance4527867.3
MonotonicityNot monotonic
2023-12-11T05:16:48.938174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 11
 
1.4%
702886 9
 
1.1%
704948 9
 
1.1%
704802 7
 
0.9%
704830 7
 
0.9%
704837 6
 
0.8%
704816 6
 
0.8%
704928 5
 
0.6%
706803 5
 
0.6%
703848 4
 
0.5%
Other values (220) 333
42.4%
(Missing) 383
48.8%
ValueCountFrequency (%)
700020 1
0.1%
700082 1
0.1%
700111 1
0.1%
700150 1
0.1%
700170 1
0.1%
700261 2
0.3%
700320 1
0.1%
700412 2
0.3%
700413 1
0.1%
700421 1
0.1%
ValueCountFrequency (%)
711857 1
0.1%
711852 2
0.3%
711836 1
0.1%
711835 2
0.3%
711833 1
0.1%
711831 2
0.3%
711813 2
0.3%
706947 1
0.1%
706946 1
0.1%
706939 1
0.1%

소재지전체주소
Text

MISSING 

Distinct747
Distinct (%)96.4%
Missing10
Missing (%)1.3%
Memory size6.3 KiB
2023-12-11T05:16:49.417729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.216774
Min length13

Characters and Unicode

Total characters18768
Distinct characters261
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

Unique721 ?
Unique (%)93.0%

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 775
 
21.3%
달서구 201
 
5.5%
수성구 193
 
5.3%
북구 143
 
3.9%
동구 101
 
2.8%
달성군 55
 
1.5%
지하1층 54
 
1.5%
2층 53
 
1.5%
서구 34
 
0.9%
범어동 33
 
0.9%
Other values (1041) 1996
54.9%
2023-12-11T05:16:50.056726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3611
19.2%
구 1508
 
8.0%
동 903
 
4.8%
1 876
 
4.7%
대 812
 
4.3%
시 791
 
4.2%
역 777
 
4.1%
광 776
 
4.1%
지 681
 
3.6%
- 595
 
3.2%
Other values (251) 7438
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10633
56.7%
Decimal Number 3807
 
20.3%
Space Separator 3611
 
19.2%
Dash Punctuation 595
 
3.2%
Close Punctuation 33
 
0.2%
Open Punctuation 33
 
0.2%
Other Punctuation 33
 
0.2%
Uppercase Letter 18
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1508
14.2%
동 903
 
8.5%
대 812
 
7.6%
시 791
 
7.4%
역 777
 
7.3%
광 776
 
7.3%
지 681
 
6.4%
번 529
 
5.0%
성 329
 
3.1%
서 268
 
2.5%
Other values (227) 3259
30.6%
Decimal Number
ValueCountFrequency (%)
1 876
23.0%
2 531
13.9%
3 455
12.0%
4 350
 
9.2%
0 326
 
8.6%
5 319
 
8.4%
8 268
 
7.0%
6 243
 
6.4%
7 241
 
6.3%
9 198
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 11
61.1%
A 3
 
16.7%
M 2
 
11.1%
G 1
 
5.6%
C 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 27
81.8%
/ 3
 
9.1%
. 2
 
6.1%
@ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
3611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 595
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 10633
56.7%
Common 8117
43.2%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1508
14.2%
동 903
 
8.5%
대 812
 
7.6%
시 791
 
7.4%
역 777
 
7.3%
광 776
 
7.3%
지 681
 
6.4%
번 529
 
5.0%
성 329
 
3.1%
서 268
 
2.5%
Other values (227) 3259
30.6%
Common
ValueCountFrequency (%)
3611
44.5%
1 876
 
10.8%
- 595
 
7.3%
2 531
 
6.5%
3 455
 
5.6%
4 350
 
4.3%
0 326
 
4.0%
5 319
 
3.9%
8 268
 
3.3%
6 243
 
3.0%
Other values (9) 543
 
6.7%
Latin
ValueCountFrequency (%)
B 11
61.1%
A 3
 
16.7%
M 2
 
11.1%
G 1
 
5.6%
C 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10633
56.7%
ASCII 8135
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3611
44.4%
1 876
 
10.8%
- 595
 
7.3%
2 531
 
6.5%
3 455
 
5.6%
4 350
 
4.3%
0 326
 
4.0%
5 319
 
3.9%
8 268
 
3.3%
6 243
 
3.0%
Other values (14) 561
 
6.9%
Hangul
ValueCountFrequency (%)
구 1508
14.2%
동 903
 
8.5%
대 812
 
7.6%
시 791
 
7.4%
역 777
 
7.3%
광 776
 
7.3%
지 681
 
6.4%
번 529
 
5.0%
성 329
 
3.1%
서 268
 
2.5%
Other values (227) 3259
30.6%

도로명전체주소
Text

MISSING 

Distinct756
Distinct (%)97.8%
Missing12
Missing (%)1.5%
Memory size6.3 KiB
2023-12-11T05:16:50.506436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.27555
Min length19

Characters and Unicode

Total characters21857
Distinct characters311
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

Unique740 ?
Unique (%)95.7%

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 773
 
17.6%
달서구 206
 
4.7%
수성구 191
 
4.3%
북구 143
 
3.3%
동구 100
 
2.3%
2층 62
 
1.4%
달성군 54
 
1.2%
3층 40
 
0.9%
달구벌대로 37
 
0.8%
지하1층 35
 
0.8%
Other values (1108) 2758
62.7%
2023-12-11T05:16:51.217400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3742
 
17.1%
구 1611
 
7.4%
동 1025
 
4.7%
대 958
 
4.4%
시 792
 
3.6%
광 779
 
3.6%
역 778
 
3.6%
로 762
 
3.5%
1 760
 
3.5%
) 736
 
3.4%
Other values (301) 9914
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12700
58.1%
Space Separator 3742
 
17.1%
Decimal Number 3252
 
14.9%
Close Punctuation 736
 
3.4%
Open Punctuation 736
 
3.4%
Other Punctuation 553
 
2.5%
Dash Punctuation 104
 
0.5%
Uppercase Letter 25
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1611
 
12.7%
동 1025
 
8.1%
대 958
 
7.5%
시 792
 
6.2%
광 779
 
6.1%
역 778
 
6.1%
로 762
 
6.0%
성 377
 
3.0%
층 370
 
2.9%
달 331
 
2.6%
Other values (273) 4917
38.7%
Decimal Number
ValueCountFrequency (%)
1 760
23.4%
2 532
16.4%
3 361
11.1%
4 299
 
9.2%
0 291
 
8.9%
5 263
 
8.1%
6 229
 
7.0%
7 191
 
5.9%
9 165
 
5.1%
8 161
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
C 2
 
8.0%
G 2
 
8.0%
Y 1
 
4.0%
M 1
 
4.0%
P 1
 
4.0%
K 1
 
4.0%
T 1
 
4.0%
S 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 547
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 736
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12700
58.1%
Common 9132
41.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1611
 
12.7%
동 1025
 
8.1%
대 958
 
7.5%
시 792
 
6.2%
광 779
 
6.1%
역 778
 
6.1%
로 762
 
6.0%
성 377
 
3.0%
층 370
 
2.9%
달 331
 
2.6%
Other values (273) 4917
38.7%
Common
ValueCountFrequency (%)
3742
41.0%
1 760
 
8.3%
) 736
 
8.1%
( 736
 
8.1%
, 547
 
6.0%
2 532
 
5.8%
3 361
 
4.0%
4 299
 
3.3%
0 291
 
3.2%
5 263
 
2.9%
Other values (8) 865
 
9.5%
Latin
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
C 2
 
8.0%
G 2
 
8.0%
Y 1
 
4.0%
M 1
 
4.0%
P 1
 
4.0%
K 1
 
4.0%
T 1
 
4.0%
S 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12700
58.1%
ASCII 9157
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3742
40.9%
1 760
 
8.3%
) 736
 
8.0%
( 736
 
8.0%
, 547
 
6.0%
2 532
 
5.8%
3 361
 
3.9%
4 299
 
3.3%
0 291
 
3.2%
5 263
 
2.9%
Other values (18) 890
 
9.7%
Hangul
ValueCountFrequency (%)
구 1611
 
12.7%
동 1025
 
8.1%
대 958
 
7.5%
시 792
 
6.2%
광 779
 
6.1%
역 778
 
6.1%
로 762
 
6.0%
성 377
 
3.0%
층 370
 
2.9%
달 331
 
2.6%
Other values (273) 4917
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)65.0%
Missing219
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean80600.237
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:51.428661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41075.75
Q141475
median42141
Q342713
95-th percentile700642.5
Maximum706846
Range665844
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation155231.39
Coefficient of variation (CV)1.9259422
Kurtosis12.333065
Mean80600.237
Median Absolute Deviation (MAD)621.5
Skewness3.7800796
Sum45619734
Variance2.4096786 × 1010
MonotonicityNot monotonic
2023-12-11T05:16:51.667542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.7%
41422 7
 
0.9%
41026 6
 
0.8%
41475 6
 
0.8%
42187 6
 
0.8%
42921 6
 
0.8%
42038 5
 
0.6%
42217 5
 
0.6%
41086 5
 
0.6%
42688 4
 
0.5%
Other values (358) 503
64.1%
(Missing) 219
27.9%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 2
 
0.3%
41009 1
 
0.1%
41019 1
 
0.1%
41020 1
 
0.1%
41026 6
0.8%
41027 1
 
0.1%
41043 1
 
0.1%
41046 1
 
0.1%
41047 1
 
0.1%
ValueCountFrequency (%)
706846 1
0.1%
706826 1
0.1%
706823 1
0.1%
706820 1
0.1%
706745 1
0.1%
706738 1
0.1%
706092 1
0.1%
705835 1
0.1%
704944 1
0.1%
704940 1
0.1%

사업장명
Text

Distinct730
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T05:16:51.965367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.1910828
Min length2

Characters and Unicode

Total characters6430
Distinct characters389
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

Unique680 ?
Unique (%)86.6%

Sample

1st row우리들골프휘트니스
2nd row삼정골프
3rd row청운골프스쿨
4th row비앤제이
5th row청량골프
ValueCountFrequency (%)
골프 42
 
3.9%
스크린골프 37
 
3.4%
스크린 36
 
3.3%
골프연습장 31
 
2.9%
아카데미 20
 
1.9%
골프아카데미 12
 
1.1%
스크린골프연습장 9
 
0.8%
골프클럽 7
 
0.6%
golf 6
 
0.6%
골프존파크 6
 
0.6%
Other values (775) 874
80.9%
2023-12-11T05:16:52.586190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 711
 
11.1%
골 702
 
10.9%
스 464
 
7.2%
크 343
 
5.3%
린 331
 
5.1%
295
 
4.6%
장 228
 
3.5%
연 220
 
3.4%
습 218
 
3.4%
아 109
 
1.7%
Other values (379) 2809
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5715
88.9%
Space Separator 295
 
4.6%
Uppercase Letter 295
 
4.6%
Close Punctuation 28
 
0.4%
Lowercase Letter 28
 
0.4%
Open Punctuation 27
 
0.4%
Decimal Number 27
 
0.4%
Other Punctuation 14
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 711
 
12.4%
골 702
 
12.3%
스 464
 
8.1%
크 343
 
6.0%
린 331
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 109
 
1.9%
카 96
 
1.7%
Other values (329) 2293
40.1%
Uppercase Letter
ValueCountFrequency (%)
G 56
19.0%
S 39
13.2%
K 21
 
7.1%
J 20
 
6.8%
M 20
 
6.8%
D 14
 
4.7%
T 13
 
4.4%
R 12
 
4.1%
B 12
 
4.1%
O 11
 
3.7%
Other values (13) 77
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
l 4
14.3%
o 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 7
25.9%
1 6
22.2%
6 4
14.8%
5 3
11.1%
4 3
11.1%
3 2
 
7.4%
7 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
& 6
42.9%
. 6
42.9%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5715
88.9%
Common 392
 
6.1%
Latin 323
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 711
 
12.4%
골 702
 
12.3%
스 464
 
8.1%
크 343
 
6.0%
린 331
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 109
 
1.9%
카 96
 
1.7%
Other values (329) 2293
40.1%
Latin
ValueCountFrequency (%)
G 56
17.3%
S 39
 
12.1%
K 21
 
6.5%
J 20
 
6.2%
M 20
 
6.2%
D 14
 
4.3%
T 13
 
4.0%
R 12
 
3.7%
B 12
 
3.7%
O 11
 
3.4%
Other values (26) 105
32.5%
Common
ValueCountFrequency (%)
295
75.3%
) 28
 
7.1%
( 27
 
6.9%
2 7
 
1.8%
& 6
 
1.5%
1 6
 
1.5%
. 6
 
1.5%
6 4
 
1.0%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5715
88.9%
ASCII 715
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 711
 
12.4%
골 702
 
12.3%
스 464
 
8.1%
크 343
 
6.0%
린 331
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 109
 
1.9%
카 96
 
1.7%
Other values (329) 2293
40.1%
ASCII
ValueCountFrequency (%)
295
41.3%
G 56
 
7.8%
S 39
 
5.5%
) 28
 
3.9%
( 27
 
3.8%
K 21
 
2.9%
J 20
 
2.8%
M 20
 
2.8%
D 14
 
2.0%
T 13
 
1.8%
Other values (40) 182
25.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct785
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0177069 × 1013
Minimum2.0030127 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:52.772417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0090137 × 1013
Q12.0160804 × 1013
median2.0190603 × 1013
Q32.0210121 × 1013
95-th percentile2.0220322 × 1013
Maximum2.022063 × 1013
Range1.9050303 × 1011
Interquartile range (IQR)4.9317044 × 1010

Descriptive statistics

Standard deviation4.0826038 × 1010
Coefficient of variation (CV)0.0020233879
Kurtosis1.9505944
Mean2.0177069 × 1013
Median Absolute Deviation (MAD)1.980092 × 1010
Skewness-1.5059659
Sum1.5839 × 1016
Variance1.6667654 × 1021
MonotonicityNot monotonic
2023-12-11T05:16:52.953928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091126103252 1
 
0.1%
20171124113910 1
 
0.1%
20171124114224 1
 
0.1%
20171124114406 1
 
0.1%
20201231102441 1
 
0.1%
20181123145258 1
 
0.1%
20210315202636 1
 
0.1%
20210204185233 1
 
0.1%
20210118085014 1
 
0.1%
20220518180820 1
 
0.1%
Other values (775) 775
98.7%
ValueCountFrequency (%)
20030127143439 1
0.1%
20030522160701 1
0.1%
20030626155644 1
0.1%
20040203162835 1
0.1%
20040305164920 1
0.1%
20040316102437 1
0.1%
20040413092851 1
0.1%
20040521132716 1
0.1%
20040623102341 1
0.1%
20040910083817 1
0.1%
ValueCountFrequency (%)
20220630170552 1
0.1%
20220628131119 1
0.1%
20220617170157 1
0.1%
20220617095322 1
0.1%
20220616135539 1
0.1%
20220615160637 1
0.1%
20220614093956 1
0.1%
20220602195507 1
0.1%
20220602171238 1
0.1%
20220531110159 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
U
428 
I
357 

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 428
54.5%
I 357
45.5%

Length

2023-12-11T05:16:53.518969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:53.664932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 428
54.5%
i 357
45.5%

데이터갱신일자
Date

Distinct287
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2023-12-11T05:16:53.819269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:16:54.035274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct654
Distinct (%)85.0%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343116.26
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:54.260221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile334196.27
Q1338834.1
median343508.48
Q3346867.98
95-th percentile354286.39
Maximum357870.14
Range30371.807
Interquartile range (IQR)8033.8859

Descriptive statistics

Standard deviation5866.931
Coefficient of variation (CV)0.017098959
Kurtosis-0.29419575
Mean343116.26
Median Absolute Deviation (MAD)3950.3645
Skewness0.13221524
Sum2.6385641 × 108
Variance34420880
MonotonicityNot monotonic
2023-12-11T05:16:54.473953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339849.860778 5
 
0.6%
340895.569123 5
 
0.6%
351945.298975 4
 
0.5%
346769.820444 3
 
0.4%
347202.24792 3
 
0.4%
347422.65742 3
 
0.4%
346867.984705 3
 
0.4%
339574.568458 3
 
0.4%
340873.134187 3
 
0.4%
344246.836165 3
 
0.4%
Other values (644) 734
93.5%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
327498.32892 1
0.1%
328171.382416 1
0.1%
328293.62359 1
0.1%
328838.821732 1
0.1%
329761.0 1
0.1%
329830.0 1
0.1%
329931.551477 1
0.1%
329995.029724 1
0.1%
330325.906027 1
0.1%
330435.153562 2
0.3%
ValueCountFrequency (%)
357870.136201 1
0.1%
357832.242269 1
0.1%
356433.809899 2
0.3%
356353.91544 1
0.1%
356351.617491 1
0.1%
356310.917659 1
0.1%
355769.748109 1
0.1%
355716.735045 1
0.1%
355698.810726 1
0.1%
355694.014923 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct654
Distinct (%)85.0%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263133.98
Minimum238769.81
Maximum274284.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:54.647446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257450.95
Q1260479.65
median263030.1
Q3265312.31
95-th percentile272476.18
Maximum274284.78
Range35514.971
Interquartile range (IQR)4832.6659

Descriptive statistics

Standard deviation4828.3788
Coefficient of variation (CV)0.018349507
Kurtosis3.5414627
Mean263133.98
Median Absolute Deviation (MAD)2440.6373
Skewness-0.67454963
Sum2.0235003 × 108
Variance23313242
MonotonicityNot monotonic
2023-12-11T05:16:54.859874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257521.210538 5
 
0.6%
272482.628301 5
 
0.6%
265312.312736 4
 
0.5%
259787.645722 3
 
0.4%
259665.923686 3
 
0.4%
264544.009327 3
 
0.4%
262864.425631 3
 
0.4%
267880.681218 3
 
0.4%
272651.408529 3
 
0.4%
270460.631388 3
 
0.4%
Other values (644) 734
93.5%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
238769.812522 1
0.1%
239961.682617 1
0.1%
240790.294843 1
0.1%
243621.0 1
0.1%
243669.128702 1
0.1%
244639.0 1
0.1%
244658.0 1
0.1%
244698.0 1
0.1%
244757.0 1
0.1%
245466.39857 1
0.1%
ValueCountFrequency (%)
274284.783061 1
0.1%
273873.569896 2
0.3%
273573.031508 1
0.1%
273523.341721 1
0.1%
273408.810726 1
0.1%
273367.914662 1
0.1%
273227.276823 1
0.1%
273080.521641 2
0.3%
272988.868487 1
0.1%
272960.724753 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
골프연습장업
785 

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 785
100.0%

Length

2023-12-11T05:16:55.054551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:55.173494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 785
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
사립
785 

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 785
100.0%

Length

2023-12-11T05:16:55.300531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:55.443563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 785
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
616 
0
88 
Y
81 

Length

Max length4
Median length4
Mean length3.3541401
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> 616
78.5%
0 88
 
11.2%
Y 81
 
10.3%

Length

2023-12-11T05:16:55.600662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:55.839894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 616
78.5%
0 88
 
11.2%
y 81
 
10.3%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
677 
0
 
62
1
 
39
2
 
7

Length

Max length4
Median length4
Mean length3.5872611
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> 677
86.2%
0 62
 
7.9%
1 39
 
5.0%
2 7
 
0.9%

Length

2023-12-11T05:16:56.010621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:56.167499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 677
86.2%
0 62
 
7.9%
1 39
 
5.0%
2 7
 
0.9%

건축물동수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
636 
1
86 
0
 
63

Length

Max length4
Median length4
Mean length3.4305732
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> 636
81.0%
1 86
 
11.0%
0 63
 
8.0%

Length

2023-12-11T05:16:56.344071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:56.501631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 636
81.0%
1 86
 
11.0%
0 63
 
8.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct212
Distinct (%)75.4%
Missing504
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean4526.1707
Minimum0
Maximum488305
Zeros55
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:16:56.687884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1274.5
median1145.31
Q32463.08
95-th percentile8097.95
Maximum488305
Range488305
Interquartile range (IQR)2188.58

Descriptive statistics

Standard deviation30516.825
Coefficient of variation (CV)6.7423054
Kurtosis228.61335
Mean4526.1707
Median Absolute Deviation (MAD)996.65
Skewness14.640276
Sum1271854
Variance9.3127662 × 108
MonotonicityNot monotonic
2023-12-11T05:16:56.899338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
 
7.0%
1604.69 2
 
0.3%
3613.14 2
 
0.3%
1284.46 2
 
0.3%
3653.0 2
 
0.3%
2677.94 2
 
0.3%
1157.22 2
 
0.3%
4991.45 2
 
0.3%
99.0 2
 
0.3%
2044.54 2
 
0.3%
Other values (202) 208
26.5%
(Missing) 504
64.2%
ValueCountFrequency (%)
0.0 55
7.0%
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 size6.3 KiB
<NA>
717 
0
 
66
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.743949
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> 717
91.3%
0 66
 
8.4%
50 1
 
0.1%
100 1
 
0.1%

Length

2023-12-11T05:16:57.094301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:57.246726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
91.3%
0 66
 
8.4%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01골프연습장업10_31_01_P3410000CDFH330105200700000120071105<NA>3폐업3폐업20091125<NA><NA><NA>053)212-3780<NA>700732대구광역시 중구 동인동2가 50-3번지 호수빌딩 7M층<NA><NA>우리들골프휘트니스20091126103252I2018-08-31 23:59:59.0<NA>344542.752498264410.068753골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
12골프연습장업10_31_01_P3410000CDFH330105201200000120121129<NA>4취소/말소/만료/정지/중지35직권말소20140612<NA><NA><NA><NA><NA>700261대구광역시 중구 서성로1가 109번지대구광역시 중구 경상감영길 1 (서성로1가)700261삼정골프20140612141835I2018-08-31 23:59:59.0<NA>343315.940921264622.218272골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23골프연습장업10_31_01_P3410000CDFH330105199800000119981221<NA>3폐업3폐업20190614<NA><NA><NA>427-8042<NA>700809대구광역시 중구 대봉동 44-215번지대구광역시 중구 대봉로 220-73 (대봉동)41954청운골프스쿨20190614100732U2019-06-16 02:40:00.0<NA>344769.018938263320.374802골프연습장업사립<NA><NA><NA>328.5<NA><NA><NA>
34골프연습장업10_31_01_P3410000CDFH330105200300000120030219<NA>3폐업3폐업20180911<NA><NA><NA>428-2217<NA>700412대구광역시 중구 삼덕동2가 28-1번지대구광역시 중구 공평로8길 29 (삼덕동2가)41940비앤제이20180911151336U2018-09-11 23:59:59.0<NA>344584.392161264140.939983골프연습장업사립<NA><NA><NA>895.05<NA><NA><NA>
45골프연습장업10_31_01_P3410000CDFH330105200500000220050321<NA>3폐업3폐업20190503<NA><NA><NA><NA><NA>700111대구광역시 중구 태평로1가 15번지대구광역시 중구 태평로 192 (태평로1가)41910청량골프20190503173953U2019-05-05 02:40:00.0<NA>344297.109016264941.456813골프연습장업사립<NA><NA><NA>714.28<NA><NA><NA>
56골프연습장업10_31_01_P3410000CDFH330105200800000220080527<NA>3폐업3폐업20130325<NA><NA><NA>423-5516<NA>700822대구광역시 중구 봉산동 35-15번지대구광역시 중구 동성로1길 38 (봉산동)700823메니아스크린골프20140123144235I2018-08-31 23:59:59.0<NA>344024.728712264053.735679골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
67골프연습장업10_31_01_P3410000CDFH330105201700000120170508<NA>3폐업3폐업20200617<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가대구광역시 중구 경상감영길 101, 중앙상가 (포정동)41918와우스크린골프20200617143908U2020-06-19 02:40:00.0<NA>343800.362369264745.47733골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
78골프연습장업10_31_01_P3410000CDFH330105201700000220170914<NA>3폐업3폐업20200617<NA><NA><NA>053-428-7007<NA><NA>대구광역시 중구 동인동2가 108-17번지 종각빌딩대구광역시 중구 국채보상로 673, 종각빌딩 (동인동2가)41908종각스크린골프20200617093029U2020-06-19 02:40:00.0<NA>344834.342272264443.735234골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
89골프연습장업10_31_01_P3410000CDFH330105201700000320171221<NA>3폐업3폐업20191219<NA><NA><NA>053-423-0707<NA><NA>대구광역시 중구 동인동1가 71번지대구광역시 중구 공평로 104 (동인동1가)41911대박스크린골프20191219134814U2019-12-21 02:40:00.0<NA>344559.806795264847.026012골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
910골프연습장업10_31_01_P3410000CDFH330105200900000220091006<NA>3폐업3폐업20200421<NA><NA><NA>422-7628<NA>700150대구광역시 중구 공평동 55-54번지 상림빌딩 6층대구광역시 중구 동성로6길 36 (공평동)41941동성로 휘트니스20200421100527U2020-04-23 02:40:00.0<NA>344182.117576264325.505092골프연습장업사립<NA><NA><NA>5554.38<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
775776골프연습장업10_31_01_P3480000CDFH330105201800000220180510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 502번지대구광역시 달성군 현풍읍 테크노상업로2길 16-10, 1층43017V1스크린골프20200110100906U2020-01-12 02:40:00.0<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
776777골프연습장업10_31_01_P3480000CDFH330105201900000220190408<NA>1영업/정상13영업중<NA><NA><NA><NA>053-557-0707<NA><NA>대구광역시 달성군 구지면 응암리 1272-3번지대구광역시 달성군 구지면 국가산단대로42길 5-3943008대국골프20190422132931U2019-04-24 02:40:00.0<NA>328171.382416239961.682617골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
777778골프연습장업10_31_01_P3480000CDFH330105201900000320190529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 240번지대구광역시 달성군 화원읍 성천로26길 50, A동 1층42954CJ GDR골프연습장20200213102433U2020-02-15 02:40:00.0<NA>335177.980312257114.729223골프연습장업사립Y<NA><NA>998.37<NA><NA><NA>
778779골프연습장업10_31_01_P3480000CDFH330105201900000420190807<NA>1영업/정상13영업중<NA><NA><NA><NA>053-214-3966<NA><NA>대구광역시 달성군 다사읍 세천리 1686-5대구광역시 달성군 다사읍 세천로6길 1442921골프연구소 세천점20220331104141U2022-04-02 02:40:00.0<NA>332854.487916264528.243046골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
779780골프연습장업10_31_01_P3480000CDFH330105201900000520191030<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-0753<NA><NA>대구광역시 달성군 현풍읍 중리 489-1번지대구광역시 달성군 현풍읍 테크노상업로 48, 동신빌딩 6층43017유나골프20191030131424I2019-11-01 00:23:04.0<NA>331625.0244639.0골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
780781골프연습장업10_31_01_P3480000CDFH330105201800000320180820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 본리리 2666대구광역시 달성군 옥포읍 비슬로447길 10-842971제이(J)골프20211224170829U2021-12-26 02:40:00.0<NA>332619.216116255787.236689골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
781782골프연습장업10_31_01_P3480000CDFH330105202100000120211115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1680-3대구광역시 달성군 다사읍 세천로7길 11, 1층42921세천 GDR 골프연습장20211115131041I2021-11-17 00:22:45.0<NA>332853.878961264812.731673골프연습장업사립<NA>000.00<NA><NA>
782783골프연습장업10_31_01_P3480000CDFH330105202100000220211201<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-0708<NA><NA>대구광역시 달성군 유가읍 용리 887-5대구광역시 달성군 유가읍 테크노순환로12길 2442994피닉스 골프아카데미20211201135001I2021-12-03 00:22:43.0<NA><NA><NA>골프연습장업사립<NA>000.00<NA><NA>
783784골프연습장업10_31_01_P3480000CDFH330105201800000420181218<NA>1영업/정상13영업중<NA><NA><NA><NA>053-616-3065<NA><NA>대구광역시 달성군 구지면 내리 840-5대구광역시 달성군 구지면 달성2차동1로 99, 6층43013라온스크린골프연습장20210422170747U2021-04-24 02:40:00.0<NA>328293.62359238769.812522골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
784785골프연습장업10_31_01_P3480000CDFH330105200800000320080918<NA>3폐업3폐업20170816<NA><NA><NA><NA><NA>711835대구광역시 달성군 화원읍 본리리 568번지대구광역시 달성군 화원읍 인흥2길 94<NA>동아골프클럽20170816152336I2018-08-31 23:59:59.0<NA>337338.975182255415.802726골프연습장업사립0<NA><NA><NA><NA><NA><NA>