Overview

Dataset statistics

Number of variables37
Number of observations759
Missing cells6276
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory236.6 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_10_31_01_P_골프연습장업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088429&dataSetDetailId=DDI_0000088504&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.5%)Imbalance
휴업종료일자 is highly imbalanced (98.5%)Imbalance
지도자수 is highly imbalanced (82.1%)Imbalance
회원모집총인원 is highly imbalanced (98.2%)Imbalance
인허가취소일자 has 759 (100.0%) missing valuesMissing
폐업일자 has 429 (56.5%) missing valuesMissing
재개업일자 has 759 (100.0%) missing valuesMissing
소재지전화 has 136 (17.9%) missing valuesMissing
소재지면적 has 759 (100.0%) missing valuesMissing
소재지우편번호 has 352 (46.4%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.6%) missing valuesMissing
도로명우편번호 has 222 (29.2%) missing valuesMissing
업태구분명 has 759 (100.0%) missing valuesMissing
좌표정보(X) has 11 (1.4%) missing valuesMissing
좌표정보(Y) has 11 (1.4%) missing valuesMissing
건축물연면적 has 539 (71.0%) missing valuesMissing
세부업종명 has 759 (100.0%) missing valuesMissing
법인명 has 759 (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

Reproduction

Analysis started2023-12-10 19:21:34.929767
Analysis finished2023-12-10 19:21:36.380539
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct759
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380
Minimum1
Maximum759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:36.474540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.9
Q1190.5
median380
Q3569.5
95-th percentile721.1
Maximum759
Range758
Interquartile range (IQR)379

Descriptive statistics

Standard deviation219.24872
Coefficient of variation (CV)0.57697031
Kurtosis-1.2
Mean380
Median Absolute Deviation (MAD)190
Skewness0
Sum288420
Variance48070
MonotonicityStrictly increasing
2023-12-11T04:21:36.677632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
511 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
509 1
 
0.1%
Other values (749) 749
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 (%)
759 1
0.1%
758 1
0.1%
757 1
0.1%
756 1
0.1%
755 1
0.1%
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
골프연습장업
759 

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 759
100.0%

Length

2023-12-11T04:21:36.854216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:36.997319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 759
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
10_31_01_P
759 

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 759
100.0%

Length

2023-12-11T04:21:37.111528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:37.251888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 759
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453267.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:37.394253image/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 deviation19434.509
Coefficient of variation (CV)0.0056278609
Kurtosis-0.48022649
Mean3453267.5
Median Absolute Deviation (MAD)10000
Skewness-0.79015462
Sum2.62103 × 109
Variance3.7770014 × 108
MonotonicityIncreasing
2023-12-11T04:21:37.546180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 199
26.2%
3460000 190
25.0%
3450000 137
18.1%
3420000 98
12.9%
3480000 52
 
6.9%
3430000 35
 
4.6%
3410000 28
 
3.7%
3440000 20
 
2.6%
ValueCountFrequency (%)
3410000 28
 
3.7%
3420000 98
12.9%
3430000 35
 
4.6%
3440000 20
 
2.6%
3450000 137
18.1%
3460000 190
25.0%
3470000 199
26.2%
3480000 52
 
6.9%
ValueCountFrequency (%)
3480000 52
 
6.9%
3470000 199
26.2%
3460000 190
25.0%
3450000 137
18.1%
3440000 20
 
2.6%
3430000 35
 
4.6%
3420000 98
12.9%
3410000 28
 
3.7%

관리번호
Text

Distinct252
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:21:37.828012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15180
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

Unique68 ?
Unique (%)9.0%

Sample

1st rowCDFH3301052008000006
2nd rowCDFH3301052001000001
3rd rowCDFH3301052008000004
4th rowCDFH3301052008000003
5th rowCDFH3301052016000002
ValueCountFrequency (%)
cdfh3301052010000002 8
 
1.1%
cdfh3301052012000001 8
 
1.1%
cdfh3301052010000003 8
 
1.1%
cdfh3301052010000001 8
 
1.1%
cdfh3301052007000001 8
 
1.1%
cdfh3301052014000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
cdfh3301052008000002 7
 
0.9%
cdfh3301052017000001 7
 
0.9%
cdfh3301052009000002 7
 
0.9%
Other values (242) 684
90.1%
2023-12-11T04:21:38.282557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6380
42.0%
3 1673
 
11.0%
1 1508
 
9.9%
2 953
 
6.3%
5 880
 
5.8%
C 759
 
5.0%
D 759
 
5.0%
F 759
 
5.0%
H 759
 
5.0%
9 197
 
1.3%
Other values (4) 553
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12144
80.0%
Uppercase Letter 3036
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6380
52.5%
3 1673
 
13.8%
1 1508
 
12.4%
2 953
 
7.8%
5 880
 
7.2%
9 197
 
1.6%
8 156
 
1.3%
7 144
 
1.2%
4 137
 
1.1%
6 116
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 759
25.0%
D 759
25.0%
F 759
25.0%
H 759
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12144
80.0%
Latin 3036
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6380
52.5%
3 1673
 
13.8%
1 1508
 
12.4%
2 953
 
7.8%
5 880
 
7.2%
9 197
 
1.6%
8 156
 
1.3%
7 144
 
1.2%
4 137
 
1.1%
6 116
 
1.0%
Latin
ValueCountFrequency (%)
C 759
25.0%
D 759
25.0%
F 759
25.0%
H 759
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6380
42.0%
3 1673
 
11.0%
1 1508
 
9.9%
2 953
 
6.3%
5 880
 
5.8%
C 759
 
5.0%
D 759
 
5.0%
F 759
 
5.0%
H 759
 
5.0%
9 197
 
1.3%
Other values (4) 553
 
3.6%

인허가일자
Real number (ℝ)

Distinct688
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096714
Minimum19891220
Maximum20210204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:38.476944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20001105
Q120070308
median20091022
Q320140311
95-th percentile20190425
Maximum20210204
Range318984
Interquartile range (IQR)70003

Descriptive statistics

Standard deviation57636.065
Coefficient of variation (CV)0.0028679348
Kurtosis0.49779097
Mean20096714
Median Absolute Deviation (MAD)30303
Skewness-0.40632102
Sum1.5253406 × 1010
Variance3.321916 × 109
MonotonicityNot monotonic
2023-12-11T04:21:38.676656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070607 3
 
0.4%
20070703 3
 
0.4%
20080527 3
 
0.4%
20111108 3
 
0.4%
20080521 3
 
0.4%
20070403 3
 
0.4%
20070919 3
 
0.4%
20100325 3
 
0.4%
20110524 2
 
0.3%
20110422 2
 
0.3%
Other values (678) 731
96.3%
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 (%)
20210204 1
0.1%
20210118 2
0.3%
20201126 1
0.1%
20201014 1
0.1%
20200922 1
0.1%
20200728 1
0.1%
20200413 1
0.1%
20200331 1
0.1%
20200326 1
0.1%
20200319 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
1
427 
3
287 
4
44 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 427
56.3%
3 287
37.8%
4 44
 
5.8%
2 1
 
0.1%

Length

2023-12-11T04:21:38.872190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:39.010067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 427
56.3%
3 287
37.8%
4 44
 
5.8%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업/정상
427 
폐업
287 
취소/말소/만료/정지/중지
44 
휴업
 
1

Length

Max length14
Median length5
Mean length4.3833992
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 427
56.3%
폐업 287
37.8%
취소/말소/만료/정지/중지 44
 
5.8%
휴업 1
 
0.1%

Length

2023-12-11T04:21:39.164114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:39.294123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 427
56.3%
폐업 287
37.8%
취소/말소/만료/정지/중지 44
 
5.8%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
13
427 
3
286 
35
44 
34
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.6218709
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row13
2nd row35
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 427
56.3%
3 286
37.7%
35 44
 
5.8%
34 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T04:21:39.449134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:39.590457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 427
56.3%
3 286
37.7%
35 44
 
5.8%
34 1
 
0.1%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업중
427 
폐업
286 
직권말소
44 
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length3
Mean length2.6824769
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 427
56.3%
폐업 286
37.7%
직권말소 44
 
5.8%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

Length

2023-12-11T04:21:39.748007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:39.874033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 427
56.3%
폐업 286
37.7%
직권말소 44
 
5.8%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)73.3%
Missing429
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean20152735
Minimum20030131
Maximum20210219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:40.020424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20051002
Q120120864
median20170354
Q320190705
95-th percentile20210218
Maximum20210219
Range180088
Interquartile range (IQR)69841.25

Descriptive statistics

Standard deviation47009.272
Coefficient of variation (CV)0.0023326498
Kurtosis-0.21139606
Mean20152735
Median Absolute Deviation (MAD)30228.5
Skewness-0.82102204
Sum6.6504025 × 109
Variance2.2098717 × 109
MonotonicityNot monotonic
2023-12-11T04:21:40.214358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210219 16
 
2.1%
20170718 13
 
1.7%
20200617 9
 
1.2%
20140120 8
 
1.1%
20190729 7
 
0.9%
20190329 6
 
0.8%
20180905 6
 
0.8%
20181026 5
 
0.7%
20210115 4
 
0.5%
20190705 3
 
0.4%
Other values (232) 253
33.3%
(Missing) 429
56.5%
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 (%)
20210219 16
2.1%
20210218 1
 
0.1%
20210217 3
 
0.4%
20210204 1
 
0.1%
20210203 1
 
0.1%
20210122 1
 
0.1%
20210115 4
 
0.5%
20201209 1
 
0.1%
20201201 2
 
0.3%
20201030 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
758 
20191218
 
1

Length

Max length8
Median length4
Mean length4.0052701
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> 758
99.9%
20191218 1
 
0.1%

Length

2023-12-11T04:21:40.443044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:40.577781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 758
99.9%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
758 
20211217
 
1

Length

Max length8
Median length4
Mean length4.0052701
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> 758
99.9%
20211217 1
 
0.1%

Length

2023-12-11T04:21:40.733754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:40.891129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 758
99.9%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

소재지전화
Text

MISSING 

Distinct603
Distinct (%)96.8%
Missing136
Missing (%)17.9%
Memory size6.1 KiB
2023-12-11T04:21:41.189110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.346709
Min length7

Characters and Unicode

Total characters6446
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

Unique584 ?
Unique (%)93.7%

Sample

1st row426-4777
2nd row422-0750
3rd row426-8900
4th row422-0753
5th row235-9610
ValueCountFrequency (%)
326-3079 3
 
0.5%
291-9090 2
 
0.3%
053-763-0753 2
 
0.3%
326-6888 2
 
0.3%
981-0752 2
 
0.3%
053-965-0753 2
 
0.3%
358-0700 2
 
0.3%
053-552-0202 2
 
0.3%
053-635-8882 2
 
0.3%
053-753-0701 2
 
0.3%
Other values (596) 606
96.7%
2023-12-11T04:21:41.741386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1028
15.9%
- 959
14.9%
5 924
14.3%
3 790
12.3%
7 635
9.9%
6 447
6.9%
2 371
 
5.8%
1 344
 
5.3%
8 329
 
5.1%
9 307
 
4.8%
Other values (5) 312
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5473
84.9%
Dash Punctuation 959
 
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 1028
18.8%
5 924
16.9%
3 790
14.4%
7 635
11.6%
6 447
8.2%
2 371
 
6.8%
1 344
 
6.3%
8 329
 
6.0%
9 307
 
5.6%
4 298
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 959
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 6446
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1028
15.9%
- 959
14.9%
5 924
14.3%
3 790
12.3%
7 635
9.9%
6 447
6.9%
2 371
 
5.8%
1 344
 
5.3%
8 329
 
5.1%
9 307
 
4.8%
Other values (5) 312
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1028
15.9%
- 959
14.9%
5 924
14.3%
3 790
12.3%
7 635
9.9%
6 447
6.9%
2 371
 
5.8%
1 344
 
5.3%
8 329
 
5.1%
9 307
 
4.8%
Other values (5) 312
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)56.8%
Missing352
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean704632.84
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:41.933179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700887.4
Q1702889.5
median704830
Q3705832
95-th percentile706844.7
Maximum711857
Range11837
Interquartile range (IQR)2942.5

Descriptive statistics

Standard deviation2123.3899
Coefficient of variation (CV)0.00301347
Kurtosis2.0512322
Mean704632.84
Median Absolute Deviation (MAD)1202
Skewness0.54280311
Sum2.8678557 × 108
Variance4508784.9
MonotonicityNot monotonic
2023-12-11T04:21:42.111778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 11
 
1.4%
704948 9
 
1.2%
702886 9
 
1.2%
704802 8
 
1.1%
704830 7
 
0.9%
704837 6
 
0.8%
704816 6
 
0.8%
704914 5
 
0.7%
706803 5
 
0.7%
704928 5
 
0.7%
Other values (221) 336
44.3%
(Missing) 352
46.4%
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 

Distinct717
Distinct (%)95.7%
Missing10
Missing (%)1.3%
Memory size6.1 KiB
2023-12-11T04:21:42.530535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length24.504673
Min length13

Characters and Unicode

Total characters18354
Distinct characters255
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

Unique688 ?
Unique (%)91.9%

Sample

1st row대구광역시 중구 동인동1가 339-1 동인새마을금고 지하1층
2nd row대구광역시 중구 동인동3가 370-1번지
3rd row대구광역시 중구 동인동1가 362번지 삼승슈퍼타워 201호
4th row대구광역시 중구 대봉동 128-8
5th row대구광역시 중구 봉산동 204-1번지 3층
ValueCountFrequency (%)
대구광역시 749
 
21.3%
수성구 190
 
5.4%
달서구 190
 
5.4%
북구 137
 
3.9%
동구 98
 
2.8%
2층 53
 
1.5%
지하1층 53
 
1.5%
달성군 52
 
1.5%
서구 34
 
1.0%
범어동 33
 
0.9%
Other values (987) 1921
54.7%
2023-12-11T04:21:43.222839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3486
19.0%
구 1458
 
7.9%
동 876
 
4.8%
1 844
 
4.6%
지 786
 
4.3%
대 785
 
4.3%
시 764
 
4.2%
광 750
 
4.1%
역 750
 
4.1%
번 637
 
3.5%
Other values (245) 7218
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10500
57.2%
Decimal Number 3673
 
20.0%
Space Separator 3486
 
19.0%
Dash Punctuation 577
 
3.1%
Open Punctuation 33
 
0.2%
Close Punctuation 33
 
0.2%
Other Punctuation 32
 
0.2%
Uppercase Letter 16
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1458
13.9%
동 876
 
8.3%
지 786
 
7.5%
대 785
 
7.5%
시 764
 
7.3%
광 750
 
7.1%
역 750
 
7.1%
번 637
 
6.1%
성 315
 
3.0%
층 259
 
2.5%
Other values (222) 3120
29.7%
Decimal Number
ValueCountFrequency (%)
1 844
23.0%
2 514
14.0%
3 442
12.0%
4 339
9.2%
5 315
 
8.6%
0 305
 
8.3%
8 259
 
7.1%
7 233
 
6.3%
6 232
 
6.3%
9 190
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 26
81.2%
/ 3
 
9.4%
. 2
 
6.2%
@ 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
62.5%
A 3
 
18.8%
M 2
 
12.5%
C 1
 
6.2%
Space Separator
ValueCountFrequency (%)
3486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 577
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10500
57.2%
Common 7838
42.7%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1458
13.9%
동 876
 
8.3%
지 786
 
7.5%
대 785
 
7.5%
시 764
 
7.3%
광 750
 
7.1%
역 750
 
7.1%
번 637
 
6.1%
성 315
 
3.0%
층 259
 
2.5%
Other values (222) 3120
29.7%
Common
ValueCountFrequency (%)
3486
44.5%
1 844
 
10.8%
- 577
 
7.4%
2 514
 
6.6%
3 442
 
5.6%
4 339
 
4.3%
5 315
 
4.0%
0 305
 
3.9%
8 259
 
3.3%
7 233
 
3.0%
Other values (9) 524
 
6.7%
Latin
ValueCountFrequency (%)
B 10
62.5%
A 3
 
18.8%
M 2
 
12.5%
C 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10500
57.2%
ASCII 7854
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3486
44.4%
1 844
 
10.7%
- 577
 
7.3%
2 514
 
6.5%
3 442
 
5.6%
4 339
 
4.3%
5 315
 
4.0%
0 305
 
3.9%
8 259
 
3.3%
7 233
 
3.0%
Other values (13) 540
 
6.9%
Hangul
ValueCountFrequency (%)
구 1458
13.9%
동 876
 
8.3%
지 786
 
7.5%
대 785
 
7.5%
시 764
 
7.3%
광 750
 
7.1%
역 750
 
7.1%
번 637
 
6.1%
성 315
 
3.0%
층 259
 
2.5%
Other values (222) 3120
29.7%

도로명전체주소
Text

MISSING 

Distinct732
Distinct (%)98.0%
Missing12
Missing (%)1.6%
Memory size6.1 KiB
2023-12-11T04:21:43.775596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.145917
Min length19

Characters and Unicode

Total characters21025
Distinct characters309
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

Unique718 ?
Unique (%)96.1%

Sample

1st row대구광역시 중구 국채보상로139길 51 (동인동1가)
2nd row대구광역시 중구 신암로 6 (동인동1가, 삼승슈퍼타워아파트)
3rd row대구광역시 중구 대봉로 200 (대봉동)
4th row대구광역시 중구 명륜로 145, 3층 (봉산동)
5th row대구광역시 중구 약령길 83-1 (수동)
ValueCountFrequency (%)
대구광역시 747
 
17.7%
달서구 195
 
4.6%
수성구 188
 
4.4%
북구 137
 
3.2%
동구 97
 
2.3%
2층 60
 
1.4%
달성군 51
 
1.2%
3층 35
 
0.8%
달구벌대로 35
 
0.8%
서구 35
 
0.8%
Other values (1084) 2650
62.6%
2023-12-11T04:21:44.562889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3600
 
17.1%
구 1558
 
7.4%
동 994
 
4.7%
대 928
 
4.4%
시 766
 
3.6%
광 753
 
3.6%
역 751
 
3.6%
로 736
 
3.5%
1 723
 
3.4%
( 712
 
3.4%
Other values (299) 9504
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12227
58.2%
Space Separator 3600
 
17.1%
Decimal Number 3119
 
14.8%
Open Punctuation 712
 
3.4%
Close Punctuation 712
 
3.4%
Other Punctuation 523
 
2.5%
Dash Punctuation 102
 
0.5%
Uppercase Letter 23
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1558
 
12.7%
동 994
 
8.1%
대 928
 
7.6%
시 766
 
6.3%
광 753
 
6.2%
역 751
 
6.1%
로 736
 
6.0%
성 360
 
2.9%
층 348
 
2.8%
달 314
 
2.6%
Other values (271) 4719
38.6%
Decimal Number
ValueCountFrequency (%)
1 723
23.2%
2 517
16.6%
3 339
10.9%
4 291
9.3%
0 275
 
8.8%
5 254
 
8.1%
6 220
 
7.1%
7 182
 
5.8%
9 162
 
5.2%
8 156
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
C 2
 
8.7%
M 1
 
4.3%
K 1
 
4.3%
Y 1
 
4.3%
S 1
 
4.3%
G 1
 
4.3%
P 1
 
4.3%
T 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 517
98.9%
. 4
 
0.8%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3600
100.0%
Open Punctuation
ValueCountFrequency (%)
( 712
100.0%
Close Punctuation
ValueCountFrequency (%)
) 712
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12227
58.2%
Common 8775
41.7%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1558
 
12.7%
동 994
 
8.1%
대 928
 
7.6%
시 766
 
6.3%
광 753
 
6.2%
역 751
 
6.1%
로 736
 
6.0%
성 360
 
2.9%
층 348
 
2.8%
달 314
 
2.6%
Other values (271) 4719
38.6%
Common
ValueCountFrequency (%)
3600
41.0%
1 723
 
8.2%
( 712
 
8.1%
) 712
 
8.1%
2 517
 
5.9%
, 517
 
5.9%
3 339
 
3.9%
4 291
 
3.3%
0 275
 
3.1%
5 254
 
2.9%
Other values (8) 835
 
9.5%
Latin
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
C 2
 
8.7%
M 1
 
4.3%
K 1
 
4.3%
Y 1
 
4.3%
S 1
 
4.3%
G 1
 
4.3%
P 1
 
4.3%
T 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12227
58.2%
ASCII 8798
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3600
40.9%
1 723
 
8.2%
( 712
 
8.1%
) 712
 
8.1%
2 517
 
5.9%
, 517
 
5.9%
3 339
 
3.9%
4 291
 
3.3%
0 275
 
3.1%
5 254
 
2.9%
Other values (18) 858
 
9.8%
Hangul
ValueCountFrequency (%)
구 1558
 
12.7%
동 994
 
8.1%
대 928
 
7.6%
시 766
 
6.3%
광 753
 
6.2%
역 751
 
6.1%
로 736
 
6.0%
성 360
 
2.9%
층 348
 
2.8%
달 314
 
2.6%
Other values (271) 4719
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct352
Distinct (%)65.5%
Missing222
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean82669.358
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:44.794392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41074.4
Q141475
median42129
Q342698
95-th percentile700811.8
Maximum706846
Range665844
Interquartile range (IQR)1223

Descriptive statistics

Standard deviation159112.51
Coefficient of variation (CV)1.9246855
Kurtosis11.456135
Mean82669.358
Median Absolute Deviation (MAD)626
Skewness3.6623799
Sum44393445
Variance2.5316792 × 1010
MonotonicityNot monotonic
2023-12-11T04:21:45.019468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.7%
41422 7
 
0.9%
42187 6
 
0.8%
41475 6
 
0.8%
41086 5
 
0.7%
42921 5
 
0.7%
42217 5
 
0.7%
41026 5
 
0.7%
42038 5
 
0.7%
42713 4
 
0.5%
Other values (342) 476
62.7%
(Missing) 222
29.2%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 2
 
0.3%
41009 1
 
0.1%
41019 1
 
0.1%
41020 1
 
0.1%
41026 5
0.7%
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

Distinct704
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:21:45.477289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.0922266
Min length2

Characters and Unicode

Total characters6142
Distinct characters384
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

Unique654 ?
Unique (%)86.2%

Sample

1st row동인실내골프연습장
2nd rowGM골프연습장
3rd row에스에스 골프클럽
4th row조아스크린골프연습장
5th row탑스크린골프
ValueCountFrequency (%)
골프 41
 
4.0%
스크린 38
 
3.7%
스크린골프 38
 
3.7%
골프연습장 26
 
2.5%
아카데미 17
 
1.7%
골프아카데미 10
 
1.0%
스크린골프연습장 10
 
1.0%
골프클럽 7
 
0.7%
golf 6
 
0.6%
골프존파크 5
 
0.5%
Other values (742) 831
80.8%
2023-12-11T04:21:46.193606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 692
 
11.3%
골 685
 
11.2%
스 444
 
7.2%
크 335
 
5.5%
린 327
 
5.3%
270
 
4.4%
장 224
 
3.6%
연 215
 
3.5%
습 213
 
3.5%
아 102
 
1.7%
Other values (374) 2635
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5489
89.4%
Space Separator 270
 
4.4%
Uppercase Letter 264
 
4.3%
Lowercase Letter 34
 
0.6%
Decimal Number 24
 
0.4%
Close Punctuation 23
 
0.4%
Open Punctuation 22
 
0.4%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 692
 
12.6%
골 685
 
12.5%
스 444
 
8.1%
크 335
 
6.1%
린 327
 
6.0%
장 224
 
4.1%
연 215
 
3.9%
습 213
 
3.9%
아 102
 
1.9%
미 86
 
1.6%
Other values (323) 2166
39.5%
Uppercase Letter
ValueCountFrequency (%)
G 53
20.1%
S 35
13.3%
K 18
 
6.8%
M 17
 
6.4%
J 16
 
6.1%
T 13
 
4.9%
B 12
 
4.5%
C 11
 
4.2%
A 10
 
3.8%
P 9
 
3.4%
Other values (13) 70
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
20.6%
l 5
14.7%
o 5
14.7%
f 3
8.8%
p 2
 
5.9%
n 2
 
5.9%
h 2
 
5.9%
t 2
 
5.9%
j 1
 
2.9%
k 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
1 6
25.0%
2 5
20.8%
6 4
16.7%
5 3
12.5%
4 3
12.5%
3 2
 
8.3%
7 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 7
46.7%
& 6
40.0%
/ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5489
89.4%
Common 355
 
5.8%
Latin 298
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 692
 
12.6%
골 685
 
12.5%
스 444
 
8.1%
크 335
 
6.1%
린 327
 
6.0%
장 224
 
4.1%
연 215
 
3.9%
습 213
 
3.9%
아 102
 
1.9%
미 86
 
1.6%
Other values (323) 2166
39.5%
Latin
ValueCountFrequency (%)
G 53
17.8%
S 35
 
11.7%
K 18
 
6.0%
M 17
 
5.7%
J 16
 
5.4%
T 13
 
4.4%
B 12
 
4.0%
C 11
 
3.7%
A 10
 
3.4%
P 9
 
3.0%
Other values (27) 104
34.9%
Common
ValueCountFrequency (%)
270
76.1%
) 23
 
6.5%
( 22
 
6.2%
. 7
 
2.0%
1 6
 
1.7%
& 6
 
1.7%
2 5
 
1.4%
6 4
 
1.1%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 6
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5489
89.4%
ASCII 653
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 692
 
12.6%
골 685
 
12.5%
스 444
 
8.1%
크 335
 
6.1%
린 327
 
6.0%
장 224
 
4.1%
연 215
 
3.9%
습 213
 
3.9%
아 102
 
1.9%
미 86
 
1.6%
Other values (323) 2166
39.5%
ASCII
ValueCountFrequency (%)
270
41.3%
G 53
 
8.1%
S 35
 
5.4%
) 23
 
3.5%
( 22
 
3.4%
K 18
 
2.8%
M 17
 
2.6%
J 16
 
2.5%
T 13
 
2.0%
B 12
 
1.8%
Other values (41) 174
26.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct759
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170233 × 1013
Minimum2.0030127 × 1013
Maximum2.0210225 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:46.422400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0080958 × 1013
Q12.016011 × 1013
median2.0180905 × 1013
Q32.0200312 × 1013
95-th percentile2.0210126 × 1013
Maximum2.0210225 × 1013
Range1.8009795 × 1011
Interquartile range (IQR)4.0201488 × 1010

Descriptive statistics

Standard deviation3.8622631 × 1010
Coefficient of variation (CV)0.0019148331
Kurtosis2.2216241
Mean2.0170233 × 1013
Median Absolute Deviation (MAD)1.9596002 × 1010
Skewness-1.5907789
Sum1.5309207 × 1016
Variance1.4917076 × 1021
MonotonicityNot monotonic
2023-12-11T04:21:46.631235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210129092943 1
 
0.1%
20190705134829 1
 
0.1%
20160329170907 1
 
0.1%
20130104172114 1
 
0.1%
20110719183622 1
 
0.1%
20170721101058 1
 
0.1%
20100329172707 1
 
0.1%
20060111112322 1
 
0.1%
20200804170522 1
 
0.1%
20190729104028 1
 
0.1%
Other values (749) 749
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 (%)
20210225090311 1
0.1%
20210222162230 1
0.1%
20210222162002 1
0.1%
20210219174350 1
0.1%
20210219115617 1
0.1%
20210219114809 1
0.1%
20210219113523 1
0.1%
20210219113423 1
0.1%
20210219113145 1
0.1%
20210219112914 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
I
399 
U
360 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 399
52.6%
U 360
47.4%

Length

2023-12-11T04:21:46.861225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:47.417177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 399
52.6%
u 360
47.4%

데이터갱신일자
Date

Distinct213
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-27 02:40:00
2023-12-11T04:21:47.638336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:21:47.898193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct643
Distinct (%)86.0%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean343126.64
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:48.146385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile334187.34
Q1338841.82
median343621.59
Q3346885.82
95-th percentile354299.54
Maximum357870.14
Range30371.807
Interquartile range (IQR)8044.0034

Descriptive statistics

Standard deviation5870.1868
Coefficient of variation (CV)0.017107931
Kurtosis-0.30018867
Mean343126.64
Median Absolute Deviation (MAD)3962.8642
Skewness0.13503247
Sum2.5665873 × 108
Variance34459093
MonotonicityNot monotonic
2023-12-11T04:21:48.359259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339849.860778 5
 
0.7%
340895.569123 5
 
0.7%
351945.298975 4
 
0.5%
344246.836165 3
 
0.4%
346769.820444 3
 
0.4%
347422.65742 3
 
0.4%
355665.232375 3
 
0.4%
339574.568458 3
 
0.4%
343983.089178 3
 
0.4%
338082.677125 3
 
0.4%
Other values (633) 713
93.9%
(Missing) 11
 
1.4%
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%
330010.742979 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 

Distinct643
Distinct (%)86.0%
Missing11
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263128.4
Minimum238769.81
Maximum273873.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:48.593925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257450.95
Q1260524.44
median263020.81
Q3265312.31
95-th percentile272479.2
Maximum273873.57
Range35103.757
Interquartile range (IQR)4787.8701

Descriptive statistics

Standard deviation4886.4495
Coefficient of variation (CV)0.01857059
Kurtosis3.649244
Mean263128.4
Median Absolute Deviation (MAD)2396.2776
Skewness-0.73927901
Sum1.9682004 × 108
Variance23877389
MonotonicityNot monotonic
2023-12-11T04:21:48.905182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257521.210538 5
 
0.7%
272482.628301 5
 
0.7%
265312.312736 4
 
0.5%
270460.631388 3
 
0.4%
259787.645722 3
 
0.4%
264544.009327 3
 
0.4%
264323.705484 3
 
0.4%
267880.681218 3
 
0.4%
265470.741158 3
 
0.4%
258975.070473 3
 
0.4%
Other values (633) 713
93.9%
(Missing) 11
 
1.4%
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%
244402.559938 1
0.1%
244639.0 1
0.1%
244658.0 1
0.1%
244698.0 1
0.1%
244757.0 1
0.1%
ValueCountFrequency (%)
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%
272651.408529 3
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
골프연습장업
759 

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 759
100.0%

Length

2023-12-11T04:21:49.157700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:49.427507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 759
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
사립
759 

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 759
100.0%

Length

2023-12-11T04:21:49.616288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:49.844104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 759
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
589 
0
89 
Y
81 

Length

Max length4
Median length4
Mean length3.3280632
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> 589
77.6%
0 89
 
11.7%
Y 81
 
10.7%

Length

2023-12-11T04:21:50.125551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:50.313036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 589
77.6%
0 89
 
11.7%
y 81
 
10.7%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
715 
1
 
38
2
 
5
0
 
1

Length

Max length4
Median length4
Mean length3.826087
Min length1

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> 715
94.2%
1 38
 
5.0%
2 5
 
0.7%
0 1
 
0.1%

Length

2023-12-11T04:21:50.495199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:50.686087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 715
94.2%
1 38
 
5.0%
2 5
 
0.7%
0 1
 
0.1%

건축물동수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
673 
1
86 

Length

Max length4
Median length4
Mean length3.6600791
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> 673
88.7%
1 86
 
11.3%

Length

2023-12-11T04:21:50.896215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:51.088098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 673
88.7%
1 86
 
11.3%

건축물연면적
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)93.2%
Missing539
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean5189.0708
Minimum83
Maximum488305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:21:51.308078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile249.7055
Q1771.1
median1468.295
Q33077.26
95-th percentile9376.11
Maximum488305
Range488222
Interquartile range (IQR)2306.16

Descriptive statistics

Standard deviation33343.883
Coefficient of variation (CV)6.4257907
Kurtosis203.88128
Mean5189.0708
Median Absolute Deviation (MAD)974.17
Skewness14.066744
Sum1141595.6
Variance1.1118145 × 109
MonotonicityNot monotonic
2023-12-11T04:21:51.601006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4540.17 2
 
0.3%
3653.0 2
 
0.3%
9376.11 2
 
0.3%
4991.45 2
 
0.3%
1157.22 2
 
0.3%
2677.94 2
 
0.3%
3613.14 2
 
0.3%
99.0 2
 
0.3%
2503.24 2
 
0.3%
4204.01 2
 
0.3%
Other values (195) 200
 
26.4%
(Missing) 539
71.0%
ValueCountFrequency (%)
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%
210.56 1
0.1%
211.23 1
0.1%
225.11 1
0.1%
ValueCountFrequency (%)
488305.0 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%
9572.98 1
0.1%
9495.92 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
757 
100
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9960474
Min length2

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> 757
99.7%
100 1
 
0.1%
50 1
 
0.1%

Length

2023-12-11T04:21:51.869242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:52.054043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 757
99.7%
100 1
 
0.1%
50 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing759
Missing (%)100.0%
Memory size6.8 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01골프연습장업10_31_01_P3410000CDFH330105200800000620081028<NA>1영업/정상13영업중<NA><NA><NA><NA>426-4777<NA>700421대구광역시 중구 동인동1가 339-1 동인새마을금고 지하1층대구광역시 중구 국채보상로139길 51 (동인동1가)41905동인실내골프연습장20210129092943U2021-01-31 02:40:00.0<NA>344977.442353264670.677754골프연습장업사립<NA><NA><NA>1894.29<NA><NA><NA>
12골프연습장업10_31_01_P3410000CDFH330105200100000120010821<NA>4취소/말소/만료/정지/중지35직권말소20090708<NA><NA><NA>422-0750<NA>700423대구광역시 중구 동인동3가 370-1번지<NA><NA>GM골프연습장20090720161102I2018-08-31 23:59:59.0<NA>345337.355564264851.279983골프연습장업사립<NA><NA><NA>151.0<NA><NA><NA>
23골프연습장업10_31_01_P3410000CDFH330105200800000420081015<NA>1영업/정상13영업중<NA><NA><NA><NA>426-8900<NA><NA>대구광역시 중구 동인동1가 362번지 삼승슈퍼타워 201호대구광역시 중구 신암로 6 (동인동1가, 삼승슈퍼타워아파트)41904에스에스 골프클럽20181130094826U2018-12-02 02:40:00.0<NA>344886.028177264849.333099골프연습장업사립<NA><NA><NA>15590.0<NA><NA><NA>
34골프연습장업10_31_01_P3410000CDFH330105200800000320080527<NA>1영업/정상13영업중<NA><NA><NA><NA>422-0753<NA>700811대구광역시 중구 대봉동 128-8대구광역시 중구 대봉로 200 (대봉동)41954조아스크린골프연습장20210202162940U2021-02-04 02:40:00.0<NA>344683.360059263011.525066골프연습장업사립<NA><NA><NA>3502.85<NA><NA><NA>
45골프연습장업10_31_01_P3410000CDFH330105201600000220160610<NA>3폐업3폐업20200617<NA><NA><NA>235-9610<NA><NA>대구광역시 중구 봉산동 204-1번지 3층대구광역시 중구 명륜로 145, 3층 (봉산동)41949탑스크린골프20200617145125U2020-06-19 02:40:00.0<NA>344444.448556263431.9835골프연습장업사립<NA><NA><NA>2463.08<NA><NA><NA>
56골프연습장업10_31_01_P3410000CDFH330105201600000120160111<NA>3폐업3폐업20200617<NA><NA><NA>053-292-1100<NA><NA>대구광역시 중구 수동 45번지대구광역시 중구 약령길 83-1 (수동)41934MG 엔젤 스크린골프 연습장20200617145110U2020-06-19 02:40:00.0<NA>343508.478889264770.495852골프연습장업사립<NA><NA><NA>911.46<NA><NA><NA>
67골프연습장업10_31_01_P3410000CDFH330105201400000120140911<NA>3폐업3폐업20200617<NA><NA><NA><NA><NA>700752대구광역시 중구 남산동 2434번지 보성송림아파트 상가지하1층대구광역시 중구 남산로4길 91, 상가지하1층 (남산동)41970NS 아카데미20200617145048U2020-06-19 02:40:00.0<NA>343048.868171263477.97043골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
78골프연습장업10_31_01_P3410000CDFH330105201300000120130823<NA>3폐업3폐업20200617<NA><NA><NA><NA><NA><NA>대구광역시 중구 서성로1가 36-1번지대구광역시 중구 서성로 72, 2층 (서성로1가)41919자이스크린골프20200617145026U2020-06-19 02:40:00.0<NA>343319.251749264791.514765골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
89골프연습장업10_31_01_P3410000CDFH330105201000000420100706<NA>3폐업3폐업20200617<NA><NA><NA>053-428-1110<NA>700082대구광역시 중구 계산동2가 100번지 지하1층 B105호대구광역시 중구 달구벌대로 2051, 지하1층 B105호 (계산동2가)41933미소스크린골프연습장20200617144955U2020-06-19 02:40:00.0<NA>343402.156825264132.511006골프연습장업사립<NA><NA><NA>74943.96<NA><NA><NA>
910골프연습장업10_31_01_P3410000CDFH330105201000000320100604<NA>3폐업3폐업20110117<NA><NA><NA><NA><NA>700813대구광역시 중구 대봉동 726-5번지 3층<NA><NA>보니또골프클리닉20110126093415I2018-08-31 23:59:59.0<NA>344358.573425263264.64915골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
749750골프연습장업10_31_01_P3480000CDFH330105200600000220060525<NA>3폐업3폐업20190718<NA><NA><NA><NA><NA>711813대구광역시 달성군 다사읍 서재리 1068-38번지대구광역시 달성군 다사읍 서재로12길 51<NA>미라벨골프클럽20190718102904U2019-07-20 02:40:00.0<NA>334943.723008263938.129252골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
750751골프연습장업10_31_01_P3480000CDFH330105200600000120060508<NA>3폐업3폐업20170727<NA><NA><NA>053-642-3618<NA>711836대구광역시 달성군 화원읍 천내리 452-1번지대구광역시 달성군 화원읍 비슬로522길 33<NA>알바트로스골프연습장20170727133420I2018-08-31 23:59:59.0<NA>335669.327894256935.724598골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
751752골프연습장업10_31_01_P3480000CDFH330105200200000120020328<NA>3폐업3폐업20070801<NA><NA><NA>616-0709<NA>711852대구광역시 달성군 논공읍 남리 860번지<NA><NA>달성골프연습장20071210113015I2018-08-31 23:59:59.0<NA>331296.715241247669.556654골프연습장업사립0<NA><NA><NA><NA><NA><NA>
752753골프연습장업10_31_01_P3480000CDFH330105199200000119920722<NA>3폐업3폐업20070312<NA><NA><NA>634-7777<NA>711831대구광역시 달성군 화원읍 구라리 1737-3번지대구광역시 달성군 화원읍 비슬로 2725<NA>대동골프연습장20071210113106I2018-08-31 23:59:59.0<NA>336656.446857257751.217655골프연습장업사립0<NA><NA><NA><NA><NA><NA>
753754골프연습장업10_31_01_P3480000CDFH330105201000000220100402<NA>3폐업3폐업20190715<NA><NA><NA>053-587-7718<NA><NA>대구광역시 달성군 다사읍 매곡리 1551번지 7층대구광역시 달성군 다사읍 달구벌대로 889, 701호 (대흥빌딩)42913세룡골프아카데미20190715133235U2019-07-17 02:40:00.0<NA>332405.190437262922.07962골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
754755골프연습장업10_31_01_P3480000CDFH330105200800000120080724<NA>3폐업3폐업20190718<NA><NA><NA><NA><NA>711813대구광역시 달성군 다사읍 서재리 99번지대구광역시 달성군 다사읍 서재로 121<NA>서재 스크린 골프연습장20190718103059U2019-07-20 02:40:00.0<NA>335156.849172264839.76682골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
755756골프연습장업10_31_01_P3480000CDFH330105200700000220071228<NA>3폐업3폐업20190729<NA><NA><NA>053-615-0874<NA>711852대구광역시 달성군 논공읍 북리 803-58번지 2,3층대구광역시 달성군 논공읍 논공로9길 74 (2,3층)<NA>월드스크린골프연습장20190729112933U2019-07-31 02:40:00.0<NA>330435.153562248779.530062골프연습장업사립<NA><NA>1659.61<NA><NA><NA>
756757골프연습장업10_31_01_P3480000CDFH330105200900000220090225<NA>3폐업3폐업20170601<NA><NA><NA><NA><NA>711857대구광역시 달성군 논공읍 북리 803-58번지대구광역시 달성군 논공읍 논공로9길 74<NA>월드스크린골프연습장20170601130413I2018-08-31 23:59:59.0<NA>330435.153562248779.530062골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
757758골프연습장업10_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>
758759골프연습장업10_31_01_P3480000CDFH330105201800000320180820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 본리리 2666번지대구광역시 달성군 옥포읍 비슬로447길 10-842971J골프20190409100015U2019-04-11 02:40:00.0<NA>332553.463002255494.539028골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>