Overview

Dataset statistics

Number of variables37
Number of observations781
Missing cells6419
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory243.4 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년04월_6270000_대구광역시_10_31_01_P_골프연습장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092919&dataSetDetailId=DDI_0000092994&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 (64.9%)Imbalance
회원모집총인원 is highly imbalanced (80.0%)Imbalance
인허가취소일자 has 781 (100.0%) missing valuesMissing
폐업일자 has 420 (53.8%) missing valuesMissing
재개업일자 has 781 (100.0%) missing valuesMissing
소재지전화 has 153 (19.6%) missing valuesMissing
소재지면적 has 781 (100.0%) missing valuesMissing
소재지우편번호 has 379 (48.5%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.5%) missing valuesMissing
도로명우편번호 has 219 (28.0%) missing valuesMissing
업태구분명 has 781 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.0%) missing valuesMissing
좌표정보(Y) has 16 (2.0%) missing valuesMissing
건축물연면적 has 508 (65.0%) missing valuesMissing
세부업종명 has 781 (100.0%) missing valuesMissing
법인명 has 781 (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 50 (6.4%) zerosZeros

Reproduction

Analysis started2023-12-10 20:56:39.631644
Analysis finished2023-12-10 20:56:40.612296
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct781
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391
Minimum1
Maximum781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:40.704026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40
Q1196
median391
Q3586
95-th percentile742
Maximum781
Range780
Interquartile range (IQR)390

Descriptive statistics

Standard deviation225.59957
Coefficient of variation (CV)0.576981
Kurtosis-1.2
Mean391
Median Absolute Deviation (MAD)195
Skewness0
Sum305371
Variance50895.167
MonotonicityStrictly increasing
2023-12-11T05:56:40.908911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
538 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
Other values (771) 771
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 (%)
781 1
0.1%
780 1
0.1%
779 1
0.1%
778 1
0.1%
777 1
0.1%
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
골프연습장업
781 

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 781
100.0%

Length

2023-12-11T05:56:41.099935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:41.235774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 781
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
10_31_01_P
781 

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 781
100.0%

Length

2023-12-11T05:56:41.366123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:41.488026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 781
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453444.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:41.588658image/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 deviation19369.379
Coefficient of variation (CV)0.0056087134
Kurtosis-0.45127019
Mean3453444.3
Median Absolute Deviation (MAD)10000
Skewness-0.80172782
Sum2.69714 × 109
Variance3.7517286 × 108
MonotonicityIncreasing
2023-12-11T05:56:41.729810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 208
26.6%
3460000 193
24.7%
3450000 143
18.3%
3420000 100
12.8%
3480000 54
 
6.9%
3430000 35
 
4.5%
3410000 28
 
3.6%
3440000 20
 
2.6%
ValueCountFrequency (%)
3410000 28
 
3.6%
3420000 100
12.8%
3430000 35
 
4.5%
3440000 20
 
2.6%
3450000 143
18.3%
3460000 193
24.7%
3470000 208
26.6%
3480000 54
 
6.9%
ValueCountFrequency (%)
3480000 54
 
6.9%
3470000 208
26.6%
3460000 193
24.7%
3450000 143
18.3%
3440000 20
 
2.6%
3430000 35
 
4.5%
3420000 100
12.8%
3410000 28
 
3.6%

관리번호
Text

Distinct262
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T05:56:42.010531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15620
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

Unique74 ?
Unique (%)9.5%

Sample

1st rowCDFH3301052007000001
2nd rowCDFH3301052012000001
3rd rowCDFH3301051998000001
4th rowCDFH3301052003000001
5th rowCDFH3301052005000002
ValueCountFrequency (%)
cdfh3301052007000001 8
 
1.0%
cdfh3301052010000003 8
 
1.0%
cdfh3301052012000001 8
 
1.0%
cdfh3301052010000001 8
 
1.0%
cdfh3301052010000002 8
 
1.0%
cdfh3301052008000002 7
 
0.9%
cdfh3301052009000001 7
 
0.9%
cdfh3301052017000001 7
 
0.9%
cdfh3301052005000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
Other values (252) 706
90.4%
2023-12-11T05:56:42.475483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6554
42.0%
3 1720
 
11.0%
1 1554
 
9.9%
2 1006
 
6.4%
5 904
 
5.8%
C 781
 
5.0%
D 781
 
5.0%
F 781
 
5.0%
H 781
 
5.0%
9 199
 
1.3%
Other values (4) 559
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12496
80.0%
Uppercase Letter 3124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6554
52.4%
3 1720
 
13.8%
1 1554
 
12.4%
2 1006
 
8.1%
5 904
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 146
 
1.2%
4 140
 
1.1%
6 117
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 781
25.0%
D 781
25.0%
F 781
25.0%
H 781
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12496
80.0%
Latin 3124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6554
52.4%
3 1720
 
13.8%
1 1554
 
12.4%
2 1006
 
8.1%
5 904
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 146
 
1.2%
4 140
 
1.1%
6 117
 
0.9%
Latin
ValueCountFrequency (%)
C 781
25.0%
D 781
25.0%
F 781
25.0%
H 781
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6554
42.0%
3 1720
 
11.0%
1 1554
 
9.9%
2 1006
 
6.4%
5 904
 
5.8%
C 781
 
5.0%
D 781
 
5.0%
F 781
 
5.0%
H 781
 
5.0%
9 199
 
1.3%
Other values (4) 559
 
3.6%

인허가일자
Real number (ℝ)

Distinct710
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099910
Minimum19891220
Maximum20220405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:42.716887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20001114
Q120070403
median20091203
Q320140925
95-th percentile20191231
Maximum20220405
Range329185
Interquartile range (IQR)70522

Descriptive statistics

Standard deviation60117.116
Coefficient of variation (CV)0.0029909146
Kurtosis0.34179584
Mean20099910
Median Absolute Deviation (MAD)31084
Skewness-0.31312102
Sum1.569803 × 1010
Variance3.6140676 × 109
MonotonicityNot monotonic
2023-12-11T05:56:42.958796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111108 3
 
0.4%
20070703 3
 
0.4%
20070607 3
 
0.4%
20080521 3
 
0.4%
20070403 3
 
0.4%
20070919 3
 
0.4%
20080527 3
 
0.4%
20100325 3
 
0.4%
20081114 2
 
0.3%
20080703 2
 
0.3%
Other values (700) 753
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 (%)
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%
20211115 1
0.1%
20211110 1
0.1%
20211105 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
Missing (%)100.0%
Memory size7.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
418 
3
318 
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 (%)
1 418
53.5%
3 318
40.7%
4 44
 
5.6%
2 1
 
0.1%

Length

2023-12-11T05:56:43.170854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:43.387627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 418
53.5%
3 318
40.7%
4 44
 
5.6%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업/정상
418 
폐업
318 
취소/말소/만료/정지/중지
44 
휴업
 
1

Length

Max length14
Median length5
Mean length4.2816901
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 418
53.5%
폐업 318
40.7%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

Length

2023-12-11T05:56:43.611481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:43.795978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 418
53.5%
폐업 318
40.7%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
13
418 
3
317 
35
44 
34
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.5928297
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 418
53.5%
3 317
40.6%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T05:56:43.955985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:44.106468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 418
53.5%
3 317
40.6%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업중
418 
폐업
317 
직권말소
44 
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length3
Mean length2.6517286
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 418
53.5%
폐업 317
40.6%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

Length

2023-12-11T05:56:44.287059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:44.510288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 418
53.5%
폐업 317
40.6%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct270
Distinct (%)74.8%
Missing420
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean20157928
Minimum20030131
Maximum20220328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:44.702672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20060228
Q120130523
median20170718
Q320200527
95-th percentile20210803
Maximum20220328
Range190197
Interquartile range (IQR)70004

Descriptive statistics

Standard deviation48051.877
Coefficient of variation (CV)0.0023837706
Kurtosis-0.14303163
Mean20157928
Median Absolute Deviation (MAD)30293
Skewness-0.85430591
Sum7.277012 × 109
Variance2.3089829 × 109
MonotonicityNot monotonic
2023-12-11T05:56:44.925035image/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
 
1.2%
20140120 8
 
1.0%
20190729 7
 
0.9%
20190329 6
 
0.8%
20180905 6
 
0.8%
20181026 5
 
0.6%
20210115 4
 
0.5%
20210217 3
 
0.4%
Other values (260) 284
36.4%
(Missing) 420
53.8%
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 (%)
20220328 1
0.1%
20220325 1
0.1%
20220324 2
0.3%
20220323 2
0.3%
20220228 1
0.1%
20220222 1
0.1%
20211227 1
0.1%
20211220 1
0.1%
20211216 1
0.1%
20211110 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
780 
20191218
 
1

Length

Max length8
Median length4
Mean length4.0051216
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> 780
99.9%
20191218 1
 
0.1%

Length

2023-12-11T05:56:45.155414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:45.325047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
99.9%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
780 
20211217
 
1

Length

Max length8
Median length4
Mean length4.0051216
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> 780
99.9%
20211217 1
 
0.1%

Length

2023-12-11T05:56:45.530907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:45.698856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
99.9%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
Missing (%)100.0%
Memory size7.0 KiB

소재지전화
Text

MISSING 

Distinct608
Distinct (%)96.8%
Missing153
Missing (%)19.6%
Memory size6.2 KiB
2023-12-11T05:56:46.060838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.388535
Min length7

Characters and Unicode

Total characters6524
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 (%)93.8%

Sample

1st row053)212-3780
2nd row427-8042
3rd row428-2217
4th row423-5516
5th row053-428-7007
ValueCountFrequency (%)
326-3079 3
 
0.5%
326-6888 2
 
0.3%
053-784-0754 2
 
0.3%
053-965-0753 2
 
0.3%
053-763-0753 2
 
0.3%
958-1175 2
 
0.3%
053-552-0202 2
 
0.3%
053-964-1237 2
 
0.3%
358-0700 2
 
0.3%
053-632-0707 2
 
0.3%
Other values (601) 611
96.7%
2023-12-11T05:56:46.640625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1044
16.0%
- 972
14.9%
5 937
14.4%
3 808
12.4%
7 648
9.9%
6 447
6.9%
2 373
 
5.7%
1 352
 
5.4%
8 330
 
5.1%
9 303
 
4.6%
Other values (5) 310
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5538
84.9%
Dash Punctuation 972
 
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 1044
18.9%
5 937
16.9%
3 808
14.6%
7 648
11.7%
6 447
8.1%
2 373
 
6.7%
1 352
 
6.4%
8 330
 
6.0%
9 303
 
5.5%
4 296
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 972
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 6524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1044
16.0%
- 972
14.9%
5 937
14.4%
3 808
12.4%
7 648
9.9%
6 447
6.9%
2 373
 
5.7%
1 352
 
5.4%
8 330
 
5.1%
9 303
 
4.6%
Other values (5) 310
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1044
16.0%
- 972
14.9%
5 937
14.4%
3 808
12.4%
7 648
9.9%
6 447
6.9%
2 373
 
5.7%
1 352
 
5.4%
8 330
 
5.1%
9 303
 
4.6%
Other values (5) 310
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)57.2%
Missing379
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean704639.83
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:46.885892image/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
2023-12-11T05:56:47.287849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 11
 
1.4%
702886 9
 
1.2%
704948 9
 
1.2%
704830 7
 
0.9%
704802 7
 
0.9%
704816 6
 
0.8%
704837 6
 
0.8%
704928 5
 
0.6%
706803 5
 
0.6%
701170 4
 
0.5%
Other values (220) 333
42.6%
(Missing) 379
48.5%
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 

Distinct743
Distinct (%)96.4%
Missing10
Missing (%)1.3%
Memory size6.2 KiB
2023-12-11T05:56:47.808477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.250324
Min length13

Characters and Unicode

Total characters18697
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

Unique717 ?
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 771
 
21.3%
달서구 199
 
5.5%
수성구 193
 
5.3%
북구 143
 
4.0%
동구 100
 
2.8%
지하1층 54
 
1.5%
달성군 54
 
1.5%
2층 53
 
1.5%
서구 34
 
0.9%
범어동 33
 
0.9%
Other values (1033) 1985
54.8%
2023-12-11T05:56:48.645883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3593
19.2%
구 1501
 
8.0%
동 899
 
4.8%
1 874
 
4.7%
대 808
 
4.3%
시 787
 
4.2%
역 773
 
4.1%
광 772
 
4.1%
지 690
 
3.7%
- 593
 
3.2%
Other values (251) 7407
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10600
56.7%
Decimal Number 3789
 
20.3%
Space Separator 3593
 
19.2%
Dash Punctuation 593
 
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 1501
14.2%
동 899
 
8.5%
대 808
 
7.6%
시 787
 
7.4%
역 773
 
7.3%
광 772
 
7.3%
지 690
 
6.5%
번 538
 
5.1%
성 328
 
3.1%
서 266
 
2.5%
Other values (227) 3238
30.5%
Decimal Number
ValueCountFrequency (%)
1 874
23.1%
2 528
13.9%
3 452
11.9%
4 349
 
9.2%
0 324
 
8.6%
5 318
 
8.4%
8 266
 
7.0%
6 241
 
6.4%
7 240
 
6.3%
9 197
 
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 (%)
3593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 593
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 10600
56.7%
Common 8079
43.2%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1501
14.2%
동 899
 
8.5%
대 808
 
7.6%
시 787
 
7.4%
역 773
 
7.3%
광 772
 
7.3%
지 690
 
6.5%
번 538
 
5.1%
성 328
 
3.1%
서 266
 
2.5%
Other values (227) 3238
30.5%
Common
ValueCountFrequency (%)
3593
44.5%
1 874
 
10.8%
- 593
 
7.3%
2 528
 
6.5%
3 452
 
5.6%
4 349
 
4.3%
0 324
 
4.0%
5 318
 
3.9%
8 266
 
3.3%
6 241
 
3.0%
Other values (9) 541
 
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 10600
56.7%
ASCII 8097
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3593
44.4%
1 874
 
10.8%
- 593
 
7.3%
2 528
 
6.5%
3 452
 
5.6%
4 349
 
4.3%
0 324
 
4.0%
5 318
 
3.9%
8 266
 
3.3%
6 241
 
3.0%
Other values (14) 559
 
6.9%
Hangul
ValueCountFrequency (%)
구 1501
14.2%
동 899
 
8.5%
대 808
 
7.6%
시 787
 
7.4%
역 773
 
7.3%
광 772
 
7.3%
지 690
 
6.5%
번 538
 
5.1%
성 328
 
3.1%
서 266
 
2.5%
Other values (227) 3238
30.5%

도로명전체주소
Text

MISSING 

Distinct754
Distinct (%)98.0%
Missing12
Missing (%)1.5%
Memory size6.2 KiB
2023-12-11T05:56:49.268666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.271782
Min length19

Characters and Unicode

Total characters21741
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 (%)96.2%

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 769
 
17.6%
달서구 204
 
4.7%
수성구 191
 
4.4%
북구 143
 
3.3%
동구 99
 
2.3%
2층 61
 
1.4%
달성군 53
 
1.2%
3층 39
 
0.9%
달구벌대로 37
 
0.8%
지하1층 35
 
0.8%
Other values (1104) 2744
62.7%
2023-12-11T05:56:50.185251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3723
 
17.1%
구 1603
 
7.4%
동 1021
 
4.7%
대 954
 
4.4%
시 788
 
3.6%
광 775
 
3.6%
역 774
 
3.6%
로 758
 
3.5%
1 755
 
3.5%
( 733
 
3.4%
Other values (301) 9857
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12636
58.1%
Space Separator 3723
 
17.1%
Decimal Number 3231
 
14.9%
Open Punctuation 733
 
3.4%
Close Punctuation 733
 
3.4%
Other Punctuation 550
 
2.5%
Dash Punctuation 102
 
0.5%
Uppercase Letter 25
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1603
 
12.7%
동 1021
 
8.1%
대 954
 
7.5%
시 788
 
6.2%
광 775
 
6.1%
역 774
 
6.1%
로 758
 
6.0%
성 376
 
3.0%
층 367
 
2.9%
달 328
 
2.6%
Other values (273) 4892
38.7%
Decimal Number
ValueCountFrequency (%)
1 755
23.4%
2 530
16.4%
3 354
11.0%
4 299
 
9.3%
0 289
 
8.9%
5 262
 
8.1%
6 228
 
7.1%
7 188
 
5.8%
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%
M 1
 
4.0%
P 1
 
4.0%
Y 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 544
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3723
100.0%
Open Punctuation
ValueCountFrequency (%)
( 733
100.0%
Close Punctuation
ValueCountFrequency (%)
) 733
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12636
58.1%
Common 9080
41.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1603
 
12.7%
동 1021
 
8.1%
대 954
 
7.5%
시 788
 
6.2%
광 775
 
6.1%
역 774
 
6.1%
로 758
 
6.0%
성 376
 
3.0%
층 367
 
2.9%
달 328
 
2.6%
Other values (273) 4892
38.7%
Common
ValueCountFrequency (%)
3723
41.0%
1 755
 
8.3%
( 733
 
8.1%
) 733
 
8.1%
, 544
 
6.0%
2 530
 
5.8%
3 354
 
3.9%
4 299
 
3.3%
0 289
 
3.2%
5 262
 
2.9%
Other values (8) 858
 
9.4%
Latin
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
C 2
 
8.0%
G 2
 
8.0%
M 1
 
4.0%
P 1
 
4.0%
Y 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12636
58.1%
ASCII 9105
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3723
40.9%
1 755
 
8.3%
( 733
 
8.1%
) 733
 
8.1%
, 544
 
6.0%
2 530
 
5.8%
3 354
 
3.9%
4 299
 
3.3%
0 289
 
3.2%
5 262
 
2.9%
Other values (18) 883
 
9.7%
Hangul
ValueCountFrequency (%)
구 1603
 
12.7%
동 1021
 
8.1%
대 954
 
7.5%
시 788
 
6.2%
광 775
 
6.1%
역 774
 
6.1%
로 758
 
6.0%
성 376
 
3.0%
층 367
 
2.9%
달 328
 
2.6%
Other values (273) 4892
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct366
Distinct (%)65.1%
Missing219
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean80872.377
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:50.798909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41078.15
Q141475
median42136
Q342713
95-th percentile700703.7
Maximum706846
Range665844
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation155750.11
Coefficient of variation (CV)1.9258752
Kurtosis12.212099
Mean80872.377
Median Absolute Deviation (MAD)621.5
Skewness3.764062
Sum45450276
Variance2.4258096 × 1010
MonotonicityNot monotonic
2023-12-11T05:56:51.029322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.7%
41422 7
 
0.9%
42921 6
 
0.8%
42187 6
 
0.8%
41475 6
 
0.8%
41086 5
 
0.6%
41026 5
 
0.6%
42038 5
 
0.6%
42217 5
 
0.6%
42713 4
 
0.5%
Other values (356) 500
64.0%
(Missing) 219
28.0%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 2
 
0.3%
41009 1
 
0.1%
41019 1
 
0.1%
41020 1
 
0.1%
41026 5
0.6%
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

Distinct727
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T05:56:51.477480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.1882202
Min length2

Characters and Unicode

Total characters6395
Distinct characters385
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

Unique678 ?
Unique (%)86.8%

Sample

1st row우리들골프휘트니스
2nd row삼정골프
3rd row청운골프스쿨
4th row비앤제이
5th row청량골프
ValueCountFrequency (%)
골프 40
 
3.7%
스크린골프 37
 
3.5%
스크린 36
 
3.4%
골프연습장 31
 
2.9%
아카데미 19
 
1.8%
골프아카데미 12
 
1.1%
스크린골프연습장 9
 
0.8%
골프클럽 7
 
0.7%
golf 6
 
0.6%
골프존파크 6
 
0.6%
Other values (770) 868
81.0%
2023-12-11T05:56:52.268873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 707
 
11.1%
골 698
 
10.9%
스 463
 
7.2%
크 342
 
5.3%
린 331
 
5.2%
290
 
4.5%
장 230
 
3.6%
연 222
 
3.5%
습 220
 
3.4%
아 108
 
1.7%
Other values (375) 2784
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5688
88.9%
Uppercase Letter 292
 
4.6%
Space Separator 290
 
4.5%
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 707
 
12.4%
골 698
 
12.3%
스 463
 
8.1%
크 342
 
6.0%
린 331
 
5.8%
장 230
 
4.0%
연 222
 
3.9%
습 220
 
3.9%
아 108
 
1.9%
카 95
 
1.7%
Other values (325) 2272
39.9%
Uppercase Letter
ValueCountFrequency (%)
G 56
19.2%
S 38
13.0%
K 21
 
7.2%
M 20
 
6.8%
J 20
 
6.8%
D 14
 
4.8%
T 13
 
4.5%
B 12
 
4.1%
R 12
 
4.1%
O 11
 
3.8%
Other values (13) 75
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
l 4
14.3%
o 4
14.3%
f 3
10.7%
n 2
 
7.1%
t 2
 
7.1%
h 2
 
7.1%
r 1
 
3.6%
k 1
 
3.6%
j 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%
7 2
 
7.4%
3 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
& 6
42.9%
. 6
42.9%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
290
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 5688
88.9%
Common 387
 
6.1%
Latin 320
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 707
 
12.4%
골 698
 
12.3%
스 463
 
8.1%
크 342
 
6.0%
린 331
 
5.8%
장 230
 
4.0%
연 222
 
3.9%
습 220
 
3.9%
아 108
 
1.9%
카 95
 
1.7%
Other values (325) 2272
39.9%
Latin
ValueCountFrequency (%)
G 56
17.5%
S 38
 
11.9%
K 21
 
6.6%
M 20
 
6.2%
J 20
 
6.2%
D 14
 
4.4%
T 13
 
4.1%
B 12
 
3.8%
R 12
 
3.8%
O 11
 
3.4%
Other values (26) 103
32.2%
Common
ValueCountFrequency (%)
290
74.9%
) 28
 
7.2%
( 27
 
7.0%
2 7
 
1.8%
1 6
 
1.6%
& 6
 
1.6%
. 6
 
1.6%
6 4
 
1.0%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5688
88.9%
ASCII 707
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 707
 
12.4%
골 698
 
12.3%
스 463
 
8.1%
크 342
 
6.0%
린 331
 
5.8%
장 230
 
4.0%
연 222
 
3.9%
습 220
 
3.9%
아 108
 
1.9%
카 95
 
1.7%
Other values (325) 2272
39.9%
ASCII
ValueCountFrequency (%)
290
41.0%
G 56
 
7.9%
S 38
 
5.4%
) 28
 
4.0%
( 27
 
3.8%
K 21
 
3.0%
M 20
 
2.8%
J 20
 
2.8%
D 14
 
2.0%
T 13
 
1.8%
Other values (40) 180
25.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct781
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176054 × 1013
Minimum2.0030127 × 1013
Maximum2.0220427 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:52.516942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0081127 × 1013
Q12.0160527 × 1013
median2.0190418 × 1013
Q32.0201228 × 1013
95-th percentile2.0220104 × 1013
Maximum2.0220427 × 1013
Range1.9029999 × 1011
Interquartile range (IQR)4.0700968 × 1010

Descriptive statistics

Standard deviation4.083317 × 1010
Coefficient of variation (CV)0.0020238432
Kurtosis2.005746
Mean2.0176054 × 1013
Median Absolute Deviation (MAD)1.9800013 × 1010
Skewness-1.5261407
Sum1.5757498 × 1016
Variance1.6673478 × 1021
MonotonicityNot monotonic
2023-12-11T05:56:52.788944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091126103252 1
 
0.1%
20220418092555 1
 
0.1%
20171124113910 1
 
0.1%
20171124114105 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%
Other values (771) 771
98.7%
ValueCountFrequency (%)
20030127143439 1
0.1%
20030128144503 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%
ValueCountFrequency (%)
20220427134512 1
0.1%
20220425194619 1
0.1%
20220425134611 1
0.1%
20220418092555 1
0.1%
20220412194142 1
0.1%
20220411153040 1
0.1%
20220405191513 1
0.1%
20220404125630 1
0.1%
20220401093907 1
0.1%
20220331104141 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
U
423 
I
358 

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 423
54.2%
I 358
45.8%

Length

2023-12-11T05:56:53.039203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:53.262244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 423
54.2%
i 358
45.8%

데이터갱신일자
Date

Distinct281
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-29 02:40:00
2023-12-11T05:56:53.505269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:53.805276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct652
Distinct (%)85.2%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343139.98
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:54.165654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile334306.63
Q1338844.39
median343574.7
Q3346867.98
95-th percentile354288.24
Maximum357870.14
Range30371.807
Interquartile range (IQR)8023.5962

Descriptive statistics

Standard deviation5853.0626
Coefficient of variation (CV)0.017057361
Kurtosis-0.30432107
Mean343139.98
Median Absolute Deviation (MAD)3940.1266
Skewness0.14110285
Sum2.6250209 × 108
Variance34258342
MonotonicityNot monotonic
2023-12-11T05:56:54.576655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340895.569123 5
 
0.6%
339849.860778 5
 
0.6%
351945.298975 4
 
0.5%
338082.677125 3
 
0.4%
347422.65742 3
 
0.4%
347202.24792 3
 
0.4%
346867.984705 3
 
0.4%
346271.979582 3
 
0.4%
346769.820444 3
 
0.4%
339574.568458 3
 
0.4%
Other values (642) 730
93.5%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
327498.32892 1
0.1%
328171.382416 1
0.1%
328293.62359 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%
330896.78909 1
0.1%
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 

Distinct652
Distinct (%)85.2%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263145.02
Minimum238769.81
Maximum274284.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:54.927165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257465
Q1260492.86
median263030.28
Q3265312.31
95-th percentile272477.69
Maximum274284.78
Range35514.971
Interquartile range (IQR)4819.4565

Descriptive statistics

Standard deviation4819.8569
Coefficient of variation (CV)0.018316352
Kurtosis3.6063209
Mean263145.02
Median Absolute Deviation (MAD)2421.4686
Skewness-0.68368088
Sum2.0130594 × 108
Variance23231021
MonotonicityNot monotonic
2023-12-11T05:56:55.345181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272482.628301 5
 
0.6%
257521.210538 5
 
0.6%
265312.312736 4
 
0.5%
258975.070473 3
 
0.4%
264544.009327 3
 
0.4%
259665.923686 3
 
0.4%
262864.425631 3
 
0.4%
259441.744147 3
 
0.4%
259787.645722 3
 
0.4%
267880.681218 3
 
0.4%
Other values (642) 730
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 size6.2 KiB
골프연습장업
781 

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 781
100.0%

Length

2023-12-11T05:56:55.729763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:56.146663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 781
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
사립
781 

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 781
100.0%

Length

2023-12-11T05:56:56.453570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:56.659813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 781
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
612 
0
88 
Y
81 

Length

Max length4
Median length4
Mean length3.3508323
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> 612
78.4%
0 88
 
11.3%
Y 81
 
10.4%

Length

2023-12-11T05:56:56.887068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:57.099655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
78.4%
0 88
 
11.3%
y 81
 
10.4%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
683 
0
 
53
1
 
39
2
 
6

Length

Max length4
Median length4
Mean length3.6235595
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> 683
87.5%
0 53
 
6.8%
1 39
 
5.0%
2 6
 
0.8%

Length

2023-12-11T05:56:57.367361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:57.559639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 683
87.5%
0 53
 
6.8%
1 39
 
5.0%
2 6
 
0.8%

건축물동수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
642 
1
86 
0
 
53

Length

Max length4
Median length4
Mean length3.4660691
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> 642
82.2%
1 86
 
11.0%
0 53
 
6.8%

Length

2023-12-11T05:56:57.772686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:58.000007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 642
82.2%
1 86
 
11.0%
0 53
 
6.8%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct210
Distinct (%)76.9%
Missing508
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean4640.34
Minimum0
Maximum488305
Zeros50
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T05:56:58.211819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1287.54
median1157.22
Q32472.87
95-th percentile8113.866
Maximum488305
Range488305
Interquartile range (IQR)2185.33

Descriptive statistics

Standard deviation30954.42
Coefficient of variation (CV)6.6707224
Kurtosis222.15045
Mean4640.34
Median Absolute Deviation (MAD)955.26
Skewness14.432664
Sum1266812.8
Variance9.5817614 × 108
MonotonicityNot monotonic
2023-12-11T05:56:58.440008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
6.4%
986.85 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%
4540.17 2
 
0.3%
Other values (200) 205
26.2%
(Missing) 508
65.0%
ValueCountFrequency (%)
0.0 50
6.4%
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 size6.2 KiB
<NA>
723 
0
 
56
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.7810499
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> 723
92.6%
0 56
 
7.2%
50 1
 
0.1%
100 1
 
0.1%

Length

2023-12-11T05:56:58.799944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:59.113921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 723
92.6%
0 56
 
7.2%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
Missing (%)100.0%
Memory size7.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing781
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
771772골프연습장업10_31_01_P3480000CDFH330105201800000120180219<NA>1영업/정상13영업중<NA><NA><NA><NA>053-716-0707<NA><NA>대구광역시 달성군 다사읍 서재리 231번지대구광역시 달성군 다사읍 서재로7길 2, 4층42929JH골프20190409095900U2019-04-11 02:40:00.0<NA>334802.266143264165.07144골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
772773골프연습장업10_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>
773774골프연습장업10_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>
774775골프연습장업10_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>
775776골프연습장업10_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>
776777골프연습장업10_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>
777778골프연습장업10_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>
778779골프연습장업10_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>
779780골프연습장업10_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>
780781골프연습장업10_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>