Overview

Dataset statistics

Number of variables37
Number of observations776
Missing cells6384
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory241.9 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_10_31_01_P_골프연습장업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092189&dataSetDetailId=DDI_0000092264&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 (67.2%)Imbalance
회원모집총인원 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 776 (100.0%) missing valuesMissing
폐업일자 has 423 (54.5%) missing valuesMissing
재개업일자 has 776 (100.0%) missing valuesMissing
소재지전화 has 149 (19.2%) missing valuesMissing
소재지면적 has 776 (100.0%) missing valuesMissing
소재지우편번호 has 373 (48.1%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.5%) missing valuesMissing
도로명우편번호 has 219 (28.2%) missing valuesMissing
업태구분명 has 776 (100.0%) missing valuesMissing
좌표정보(X) has 15 (1.9%) missing valuesMissing
좌표정보(Y) has 15 (1.9%) missing valuesMissing
건축물연면적 has 512 (66.0%) missing valuesMissing
세부업종명 has 776 (100.0%) missing valuesMissing
법인명 has 776 (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 43 (5.5%) zerosZeros

Reproduction

Analysis started2023-12-10 20:16:09.547722
Analysis finished2023-12-10 20:16:10.842319
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.5
Minimum1
Maximum776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:10.972619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.75
Q1194.75
median388.5
Q3582.25
95-th percentile737.25
Maximum776
Range775
Interquartile range (IQR)387.5

Descriptive statistics

Standard deviation224.1562
Coefficient of variation (CV)0.57697862
Kurtosis-1.2
Mean388.5
Median Absolute Deviation (MAD)194
Skewness0
Sum301476
Variance50246
MonotonicityStrictly increasing
2023-12-11T05:16:11.249873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
535 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
Other values (766) 766
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 (%)
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
골프연습장업
776 

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 776
100.0%

Length

2023-12-11T05:16:11.458236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:11.625819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 776
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
10_31_01_P
776 

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 776
100.0%

Length

2023-12-11T05:16:11.790655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:11.955890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 776
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453363.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:12.099214image/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 deviation19394.762
Coefficient of variation (CV)0.005616195
Kurtosis-0.4643545
Mean3453363.4
Median Absolute Deviation (MAD)10000
Skewness-0.79441486
Sum2.67981 × 109
Variance3.761568 × 108
MonotonicityIncreasing
2023-12-11T05:16:12.268685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 204
26.3%
3460000 193
24.9%
3450000 142
18.3%
3420000 100
12.9%
3480000 54
 
7.0%
3430000 35
 
4.5%
3410000 28
 
3.6%
3440000 20
 
2.6%
ValueCountFrequency (%)
3410000 28
 
3.6%
3420000 100
12.9%
3430000 35
 
4.5%
3440000 20
 
2.6%
3450000 142
18.3%
3460000 193
24.9%
3470000 204
26.3%
3480000 54
 
7.0%
ValueCountFrequency (%)
3480000 54
 
7.0%
3470000 204
26.3%
3460000 193
24.9%
3450000 142
18.3%
3440000 20
 
2.6%
3430000 35
 
4.5%
3420000 100
12.9%
3410000 28
 
3.6%

관리번호
Text

Distinct258
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T05:16:12.580724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15520
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

Unique71 ?
Unique (%)9.1%

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 (248) 701
90.3%
2023-12-11T05:16:13.102207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6514
42.0%
3 1709
 
11.0%
1 1547
 
10.0%
2 990
 
6.4%
5 899
 
5.8%
C 776
 
5.0%
D 776
 
5.0%
F 776
 
5.0%
H 776
 
5.0%
9 199
 
1.3%
Other values (4) 558
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12416
80.0%
Uppercase Letter 3104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6514
52.5%
3 1709
 
13.8%
1 1547
 
12.5%
2 990
 
8.0%
5 899
 
7.2%
9 199
 
1.6%
8 156
 
1.3%
7 146
 
1.2%
4 139
 
1.1%
6 117
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 776
25.0%
D 776
25.0%
F 776
25.0%
H 776
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12416
80.0%
Latin 3104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6514
52.5%
3 1709
 
13.8%
1 1547
 
12.5%
2 990
 
8.0%
5 899
 
7.2%
9 199
 
1.6%
8 156
 
1.3%
7 146
 
1.2%
4 139
 
1.1%
6 117
 
0.9%
Latin
ValueCountFrequency (%)
C 776
25.0%
D 776
25.0%
F 776
25.0%
H 776
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6514
42.0%
3 1709
 
11.0%
1 1547
 
10.0%
2 990
 
6.4%
5 899
 
5.8%
C 776
 
5.0%
D 776
 
5.0%
F 776
 
5.0%
H 776
 
5.0%
9 199
 
1.3%
Other values (4) 558
 
3.6%

인허가일자
Real number (ℝ)

Distinct705
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099134
Minimum19891220
Maximum20211227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:13.329742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20001092
Q120070384
median20091126
Q320140808
95-th percentile20191026
Maximum20211227
Range320007
Interquartile range (IQR)70423.75

Descriptive statistics

Standard deviation59525.001
Coefficient of variation (CV)0.0029615704
Kurtosis0.37214005
Mean20099134
Median Absolute Deviation (MAD)30762.5
Skewness-0.33899089
Sum1.5596928 × 1010
Variance3.5432257 × 109
MonotonicityNot monotonic
2023-12-11T05:16:13.554570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111108 3
 
0.4%
20080527 3
 
0.4%
20070607 3
 
0.4%
20100325 3
 
0.4%
20080521 3
 
0.4%
20070403 3
 
0.4%
20070919 3
 
0.4%
20070703 3
 
0.4%
20070216 2
 
0.3%
20150417 2
 
0.3%
Other values (695) 748
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 (%)
20211227 1
0.1%
20211201 1
0.1%
20211115 1
0.1%
20211110 1
0.1%
20211105 1
0.1%
20211008 1
0.1%
20211007 1
0.1%
20210811 1
0.1%
20210616 1
0.1%
20210603 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
421 
3
310 
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 (%)
1 421
54.3%
3 310
39.9%
4 44
 
5.7%
2 1
 
0.1%

Length

2023-12-11T05:16:14.137877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:14.306568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 421
54.3%
3 310
39.9%
4 44
 
5.7%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업/정상
421 
폐업
310 
취소/말소/만료/정지/중지
44 
휴업
 
1

Length

Max length14
Median length5
Mean length4.3079897
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 421
54.3%
폐업 310
39.9%
취소/말소/만료/정지/중지 44
 
5.7%
휴업 1
 
0.1%

Length

2023-12-11T05:16:14.501380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:14.692344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 421
54.3%
폐업 310
39.9%
취소/말소/만료/정지/중지 44
 
5.7%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
13
421 
3
309 
35
44 
34
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.6005155
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 421
54.3%
3 309
39.8%
35 44
 
5.7%
34 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T05:16:14.863793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:15.043609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 421
54.3%
3 309
39.8%
35 44
 
5.7%
34 1
 
0.1%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업중
421 
폐업
309 
직권말소
44 
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length3
Mean length2.6597938
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 421
54.3%
폐업 309
39.8%
직권말소 44
 
5.7%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

Length

2023-12-11T05:16:15.249565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:15.434367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 421
54.3%
폐업 309
39.8%
직권말소 44
 
5.7%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)74.8%
Missing423
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean20156515
Minimum20030131
Maximum20211227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:15.648252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20056581
Q120130325
median20170718
Q320191227
95-th percentile20210427
Maximum20211227
Range181096
Interquartile range (IQR)60902

Descriptive statistics

Standard deviation47655.451
Coefficient of variation (CV)0.0023642704
Kurtosis-0.1537497
Mean20156515
Median Absolute Deviation (MAD)30188
Skewness-0.85754768
Sum7.1152496 × 109
Variance2.271042 × 109
MonotonicityNot monotonic
2023-12-11T05:16:15.886070image/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
 
1.0%
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 (254) 276
35.6%
(Missing) 423
54.5%
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 (%)
20211227 1
0.1%
20211220 1
0.1%
20211216 1
0.1%
20211110 1
0.1%
20211108 1
0.1%
20211014 1
0.1%
20210926 1
0.1%
20210831 1
0.1%
20210810 1
0.1%
20210809 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
775 
20191218
 
1

Length

Max length8
Median length4
Mean length4.0051546
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> 775
99.9%
20191218 1
 
0.1%

Length

2023-12-11T05:16:16.135101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:16.315618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 775
99.9%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
775 
20211217
 
1

Length

Max length8
Median length4
Mean length4.0051546
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> 775
99.9%
20211217 1
 
0.1%

Length

2023-12-11T05:16:16.509740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:16.708054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 775
99.9%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Text

MISSING 

Distinct607
Distinct (%)96.8%
Missing149
Missing (%)19.2%
Memory size6.2 KiB
2023-12-11T05:16:17.132332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.379585
Min length7

Characters and Unicode

Total characters6508
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

Unique588 ?
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%
053-552-0202 2
 
0.3%
358-0700 2
 
0.3%
958-1175 2
 
0.3%
053-753-0701 2
 
0.3%
053-632-0707 2
 
0.3%
981-0752 2
 
0.3%
291-9090 2
 
0.3%
053-964-1237 2
 
0.3%
053-637-0046 2
 
0.3%
Other values (600) 610
96.7%
2023-12-11T05:16:17.810151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1043
16.0%
- 969
14.9%
5 934
14.4%
3 802
12.3%
7 642
9.9%
6 448
6.9%
2 373
 
5.7%
1 354
 
5.4%
8 330
 
5.1%
9 303
 
4.7%
Other values (5) 310
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5525
84.9%
Dash Punctuation 969
 
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 1043
18.9%
5 934
16.9%
3 802
14.5%
7 642
11.6%
6 448
8.1%
2 373
 
6.8%
1 354
 
6.4%
8 330
 
6.0%
9 303
 
5.5%
4 296
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 969
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 6508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1043
16.0%
- 969
14.9%
5 934
14.4%
3 802
12.3%
7 642
9.9%
6 448
6.9%
2 373
 
5.7%
1 354
 
5.4%
8 330
 
5.1%
9 303
 
4.7%
Other values (5) 310
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1043
16.0%
- 969
14.9%
5 934
14.4%
3 802
12.3%
7 642
9.9%
6 448
6.9%
2 373
 
5.7%
1 354
 
5.4%
8 330
 
5.1%
9 303
 
4.7%
Other values (5) 310
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)57.1%
Missing373
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean704640.51
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:18.060984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile701041
Q1702889.5
median704830
Q3705835
95-th percentile706844.9
Maximum711857
Range11837
Interquartile range (IQR)2945.5

Descriptive statistics

Standard deviation2125.2742
Coefficient of variation (CV)0.0030161113
Kurtosis2.0495857
Mean704640.51
Median Absolute Deviation (MAD)1202
Skewness0.55042076
Sum2.8397012 × 108
Variance4516790.5
MonotonicityNot monotonic
2023-12-11T05:16:18.297071image/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) 334
43.0%
(Missing) 373
48.1%
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 

Distinct741
Distinct (%)96.7%
Missing10
Missing (%)1.3%
Memory size6.2 KiB
2023-12-11T05:16:18.719435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.298956
Min length13

Characters and Unicode

Total characters18613
Distinct characters259
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 (%)93.7%

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 766
 
21.3%
달서구 195
 
5.4%
수성구 193
 
5.4%
북구 142
 
3.9%
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 (1028) 1974
54.9%
2023-12-11T05:16:19.375168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3572
19.2%
구 1491
 
8.0%
동 894
 
4.8%
1 867
 
4.7%
대 803
 
4.3%
시 782
 
4.2%
역 768
 
4.1%
광 767
 
4.1%
지 702
 
3.8%
- 590
 
3.2%
Other values (249) 7377
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10563
56.8%
Decimal Number 3766
 
20.2%
Space Separator 3572
 
19.2%
Dash Punctuation 590
 
3.2%
Open Punctuation 33
 
0.2%
Close 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 1491
14.1%
동 894
 
8.5%
대 803
 
7.6%
시 782
 
7.4%
역 768
 
7.3%
광 767
 
7.3%
지 702
 
6.6%
번 550
 
5.2%
성 325
 
3.1%
층 265
 
2.5%
Other values (225) 3216
30.4%
Decimal Number
ValueCountFrequency (%)
1 867
23.0%
2 525
13.9%
3 450
11.9%
4 349
9.3%
0 321
 
8.5%
5 316
 
8.4%
8 266
 
7.1%
6 240
 
6.4%
7 240
 
6.4%
9 192
 
5.1%
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 (%)
3572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10563
56.8%
Common 8032
43.2%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1491
14.1%
동 894
 
8.5%
대 803
 
7.6%
시 782
 
7.4%
역 768
 
7.3%
광 767
 
7.3%
지 702
 
6.6%
번 550
 
5.2%
성 325
 
3.1%
층 265
 
2.5%
Other values (225) 3216
30.4%
Common
ValueCountFrequency (%)
3572
44.5%
1 867
 
10.8%
- 590
 
7.3%
2 525
 
6.5%
3 450
 
5.6%
4 349
 
4.3%
0 321
 
4.0%
5 316
 
3.9%
8 266
 
3.3%
6 240
 
3.0%
Other values (9) 536
 
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 10563
56.8%
ASCII 8050
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3572
44.4%
1 867
 
10.8%
- 590
 
7.3%
2 525
 
6.5%
3 450
 
5.6%
4 349
 
4.3%
0 321
 
4.0%
5 316
 
3.9%
8 266
 
3.3%
6 240
 
3.0%
Other values (14) 554
 
6.9%
Hangul
ValueCountFrequency (%)
구 1491
14.1%
동 894
 
8.5%
대 803
 
7.6%
시 782
 
7.4%
역 768
 
7.3%
광 767
 
7.3%
지 702
 
6.6%
번 550
 
5.2%
성 325
 
3.1%
층 265
 
2.5%
Other values (225) 3216
30.4%

도로명전체주소
Text

MISSING 

Distinct750
Distinct (%)98.2%
Missing12
Missing (%)1.5%
Memory size6.2 KiB
2023-12-11T05:16:19.861300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.269634
Min length19

Characters and Unicode

Total characters21598
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

Unique737 ?
Unique (%)96.5%

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 764
 
17.6%
달서구 200
 
4.6%
수성구 191
 
4.4%
북구 142
 
3.3%
동구 99
 
2.3%
2층 61
 
1.4%
달성군 53
 
1.2%
3층 37
 
0.9%
달구벌대로 37
 
0.9%
지하1층 35
 
0.8%
Other values (1103) 2726
62.7%
2023-12-11T05:16:20.624934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3698
 
17.1%
구 1594
 
7.4%
동 1016
 
4.7%
대 949
 
4.4%
시 783
 
3.6%
광 770
 
3.6%
역 769
 
3.6%
로 753
 
3.5%
1 751
 
3.5%
( 728
 
3.4%
Other values (299) 9787
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12552
58.1%
Space Separator 3698
 
17.1%
Decimal Number 3211
 
14.9%
Open Punctuation 728
 
3.4%
Close Punctuation 728
 
3.4%
Other Punctuation 546
 
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 1594
 
12.7%
동 1016
 
8.1%
대 949
 
7.6%
시 783
 
6.2%
광 770
 
6.1%
역 769
 
6.1%
로 753
 
6.0%
성 373
 
3.0%
층 364
 
2.9%
달 324
 
2.6%
Other values (271) 4857
38.7%
Decimal Number
ValueCountFrequency (%)
1 751
23.4%
2 527
16.4%
3 352
11.0%
4 298
 
9.3%
0 284
 
8.8%
5 262
 
8.2%
6 226
 
7.0%
7 186
 
5.8%
9 164
 
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%
Y 1
 
4.0%
P 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 540
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 728
100.0%
Close Punctuation
ValueCountFrequency (%)
) 728
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12552
58.1%
Common 9021
41.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1594
 
12.7%
동 1016
 
8.1%
대 949
 
7.6%
시 783
 
6.2%
광 770
 
6.1%
역 769
 
6.1%
로 753
 
6.0%
성 373
 
3.0%
층 364
 
2.9%
달 324
 
2.6%
Other values (271) 4857
38.7%
Common
ValueCountFrequency (%)
3698
41.0%
1 751
 
8.3%
( 728
 
8.1%
) 728
 
8.1%
, 540
 
6.0%
2 527
 
5.8%
3 352
 
3.9%
4 298
 
3.3%
0 284
 
3.1%
5 262
 
2.9%
Other values (8) 853
 
9.5%
Latin
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
C 2
 
8.0%
G 2
 
8.0%
M 1
 
4.0%
Y 1
 
4.0%
P 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12552
58.1%
ASCII 9046
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3698
40.9%
1 751
 
8.3%
( 728
 
8.0%
) 728
 
8.0%
, 540
 
6.0%
2 527
 
5.8%
3 352
 
3.9%
4 298
 
3.3%
0 284
 
3.1%
5 262
 
2.9%
Other values (18) 878
 
9.7%
Hangul
ValueCountFrequency (%)
구 1594
 
12.7%
동 1016
 
8.1%
대 949
 
7.6%
시 783
 
6.2%
광 770
 
6.1%
역 769
 
6.1%
로 753
 
6.0%
성 373
 
3.0%
층 364
 
2.9%
달 324
 
2.6%
Other values (271) 4857
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct364
Distinct (%)65.4%
Missing219
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean81216.131
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:20.816681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41077.4
Q141475
median42130
Q342704
95-th percentile700737
Maximum706846
Range665844
Interquartile range (IQR)1229

Descriptive statistics

Standard deviation156406.32
Coefficient of variation (CV)1.9258036
Kurtosis12.060894
Mean81216.131
Median Absolute Deviation (MAD)625
Skewness3.7439443
Sum45237385
Variance2.4462937 × 1010
MonotonicityNot monotonic
2023-12-11T05:16:21.008409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.7%
41422 7
 
0.9%
41475 6
 
0.8%
42187 6
 
0.8%
42921 6
 
0.8%
42038 5
 
0.6%
42217 5
 
0.6%
41086 5
 
0.6%
41026 5
 
0.6%
42688 4
 
0.5%
Other values (354) 495
63.8%
(Missing) 219
28.2%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 2
 
0.3%
41009 1
 
0.1%
41019 1
 
0.1%
41020 1
 
0.1%
41026 5
0.6%
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

Distinct722
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T05:16:21.363196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.1765464
Min length2

Characters and Unicode

Total characters6345
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

Unique673 ?
Unique (%)86.7%

Sample

1st row우리들골프휘트니스
2nd row삼정골프
3rd row청운골프스쿨
4th row비앤제이
5th row청량골프
ValueCountFrequency (%)
골프 40
 
3.8%
스크린골프 37
 
3.5%
스크린 35
 
3.3%
골프연습장 30
 
2.8%
아카데미 19
 
1.8%
골프아카데미 11
 
1.0%
스크린골프연습장 9
 
0.8%
골프클럽 7
 
0.7%
golf 6
 
0.6%
골프존파크 6
 
0.6%
Other values (766) 859
81.1%
2023-12-11T05:16:21.920962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 705
 
11.1%
골 697
 
11.0%
스 461
 
7.3%
크 340
 
5.4%
린 330
 
5.2%
283
 
4.5%
장 230
 
3.6%
연 221
 
3.5%
습 219
 
3.5%
아 108
 
1.7%
Other values (374) 2751
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5647
89.0%
Uppercase Letter 291
 
4.6%
Space Separator 283
 
4.5%
Lowercase Letter 28
 
0.4%
Close Punctuation 27
 
0.4%
Decimal Number 27
 
0.4%
Open Punctuation 26
 
0.4%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 705
 
12.5%
골 697
 
12.3%
스 461
 
8.2%
크 340
 
6.0%
린 330
 
5.8%
장 230
 
4.1%
연 221
 
3.9%
습 219
 
3.9%
아 108
 
1.9%
카 94
 
1.7%
Other values (324) 2242
39.7%
Uppercase Letter
ValueCountFrequency (%)
G 56
19.2%
S 38
13.1%
K 21
 
7.2%
J 20
 
6.9%
M 20
 
6.9%
D 13
 
4.5%
T 13
 
4.5%
B 12
 
4.1%
C 11
 
3.8%
R 11
 
3.8%
Other values (13) 76
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
l 4
14.3%
o 4
14.3%
f 3
10.7%
h 2
 
7.1%
t 2
 
7.1%
n 2
 
7.1%
k 1
 
3.6%
j 1
 
3.6%
r 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
2 7
25.9%
1 6
22.2%
6 4
14.8%
5 3
11.1%
4 3
11.1%
7 2
 
7.4%
3 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
& 7
46.7%
. 6
40.0%
/ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5647
89.0%
Common 379
 
6.0%
Latin 319
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 705
 
12.5%
골 697
 
12.3%
스 461
 
8.2%
크 340
 
6.0%
린 330
 
5.8%
장 230
 
4.1%
연 221
 
3.9%
습 219
 
3.9%
아 108
 
1.9%
카 94
 
1.7%
Other values (324) 2242
39.7%
Latin
ValueCountFrequency (%)
G 56
17.6%
S 38
 
11.9%
K 21
 
6.6%
J 20
 
6.3%
M 20
 
6.3%
D 13
 
4.1%
T 13
 
4.1%
B 12
 
3.8%
C 11
 
3.4%
R 11
 
3.4%
Other values (26) 104
32.6%
Common
ValueCountFrequency (%)
283
74.7%
) 27
 
7.1%
( 26
 
6.9%
& 7
 
1.8%
2 7
 
1.8%
1 6
 
1.6%
. 6
 
1.6%
6 4
 
1.1%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5647
89.0%
ASCII 698
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 705
 
12.5%
골 697
 
12.3%
스 461
 
8.2%
크 340
 
6.0%
린 330
 
5.8%
장 230
 
4.1%
연 221
 
3.9%
습 219
 
3.9%
아 108
 
1.9%
카 94
 
1.7%
Other values (324) 2242
39.7%
ASCII
ValueCountFrequency (%)
283
40.5%
G 56
 
8.0%
S 38
 
5.4%
) 27
 
3.9%
( 26
 
3.7%
K 21
 
3.0%
J 20
 
2.9%
M 20
 
2.9%
D 13
 
1.9%
T 13
 
1.9%
Other values (40) 181
25.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174891 × 1013
Minimum2.0030127 × 1013
Maximum2.0220125 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:22.088064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0081097 × 1013
Q12.0160331 × 1013
median2.0190403 × 1013
Q32.020101 × 1013
95-th percentile2.0211026 × 1013
Maximum2.0220125 × 1013
Range1.8999796 × 1011
Interquartile range (IQR)4.0679738 × 1010

Descriptive statistics

Standard deviation4.0441687 × 1010
Coefficient of variation (CV)0.0020045554
Kurtosis2.0330526
Mean2.0174891 × 1013
Median Absolute Deviation (MAD)1.9725495 × 1010
Skewness-1.547485
Sum1.5655715 × 1016
Variance1.6355301 × 1021
MonotonicityNot monotonic
2023-12-11T05:16:22.287787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091126103252 1
 
0.1%
20211229093533 1
 
0.1%
20181029095711 1
 
0.1%
20210722173210 1
 
0.1%
20171124113910 1
 
0.1%
20171124114105 1
 
0.1%
20171124114224 1
 
0.1%
20171124114406 1
 
0.1%
20210118085014 1
 
0.1%
20120831111404 1
 
0.1%
Other values (766) 766
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 (%)
20220125104554 1
0.1%
20220124153949 1
0.1%
20220124153714 1
0.1%
20220120172545 1
0.1%
20220111135020 1
0.1%
20220111113729 1
0.1%
20220110115522 1
0.1%
20220110115501 1
0.1%
20220107133235 1
0.1%
20220107133211 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
U
416 
I
360 

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 416
53.6%
I 360
46.4%

Length

2023-12-11T05:16:22.470114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:22.597034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 416
53.6%
i 360
46.4%

데이터갱신일자
Date

Distinct268
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-27 02:40:00
2023-12-11T05:16:22.755926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:16:22.947888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct649
Distinct (%)85.3%
Missing15
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean343154.21
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:23.150517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile334303.4
Q1338844.39
median343785.82
Q3346885.14
95-th percentile354290.1
Maximum357870.14
Range30371.807
Interquartile range (IQR)8040.7553

Descriptive statistics

Standard deviation5863.709
Coefficient of variation (CV)0.017087679
Kurtosis-0.31196824
Mean343154.21
Median Absolute Deviation (MAD)4013.8017
Skewness0.13493211
Sum2.6114035 × 108
Variance34383083
MonotonicityNot monotonic
2023-12-11T05:16:23.361394image/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%
355665.232375 3
 
0.4%
347202.24792 3
 
0.4%
346271.979582 3
 
0.4%
346769.820444 3
 
0.4%
340873.134187 3
 
0.4%
Other values (639) 726
93.6%
(Missing) 15
 
1.9%
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 

Distinct649
Distinct (%)85.3%
Missing15
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263160.3
Minimum238769.81
Maximum274284.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:23.555289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257450.95
Q1260528.63
median263032.08
Q3265312.31
95-th percentile272479.2
Maximum274284.78
Range35514.971
Interquartile range (IQR)4783.682

Descriptive statistics

Standard deviation4822.3381
Coefficient of variation (CV)0.018324718
Kurtosis3.6331595
Mean263160.3
Median Absolute Deviation (MAD)2383.9166
Skewness-0.69262173
Sum2.0026498 × 108
Variance23254945
MonotonicityNot monotonic
2023-12-11T05:16:23.778198image/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%
264323.705484 3
 
0.4%
259665.923686 3
 
0.4%
259441.744147 3
 
0.4%
259787.645722 3
 
0.4%
272651.408529 3
 
0.4%
Other values (639) 726
93.6%
(Missing) 15
 
1.9%
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
776 

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 776
100.0%

Length

2023-12-11T05:16:23.959653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:24.084057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 776
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
사립
776 

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 776
100.0%

Length

2023-12-11T05:16:24.210277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:24.353701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 776
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
607 
0
88 
Y
81 

Length

Max length4
Median length4
Mean length3.3466495
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> 607
78.2%
0 88
 
11.3%
Y 81
 
10.4%

Length

2023-12-11T05:16:24.944139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:25.131105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 607
78.2%
0 88
 
11.3%
y 81
 
10.4%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
688 
0
 
43
1
 
39
2
 
6

Length

Max length4
Median length4
Mean length3.6597938
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> 688
88.7%
0 43
 
5.5%
1 39
 
5.0%
2 6
 
0.8%

Length

2023-12-11T05:16:25.331956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:25.511032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 688
88.7%
0 43
 
5.5%
1 39
 
5.0%
2 6
 
0.8%

건축물동수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
647 
1
86 
0
 
43

Length

Max length4
Median length4
Mean length3.5012887
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> 647
83.4%
1 86
 
11.1%
0 43
 
5.5%

Length

2023-12-11T05:16:25.735281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:25.912854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 647
83.4%
1 86
 
11.1%
0 43
 
5.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct208
Distinct (%)78.8%
Missing512
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean4760.1291
Minimum0
Maximum488305
Zeros43
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T05:16:26.097278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1322.425
median1237.195
Q32482.18
95-th percentile8085.956
Maximum488305
Range488305
Interquartile range (IQR)2159.755

Descriptive statistics

Standard deviation31467.479
Coefficient of variation (CV)6.6106356
Kurtosis214.97916
Mean4760.1291
Median Absolute Deviation (MAD)981.875
Skewness14.200437
Sum1256674.1
Variance9.9020223 × 108
MonotonicityNot monotonic
2023-12-11T05:16:26.337027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
 
5.5%
3653.0 2
 
0.3%
2503.24 2
 
0.3%
99.0 2
 
0.3%
2044.54 2
 
0.3%
4540.17 2
 
0.3%
4991.45 2
 
0.3%
1461.99 2
 
0.3%
1917.34 2
 
0.3%
2677.94 2
 
0.3%
Other values (198) 203
 
26.2%
(Missing) 512
66.0%
ValueCountFrequency (%)
0.0 43
5.5%
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%
9495.92 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
728 
0
 
46
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.818299
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> 728
93.8%
0 46
 
5.9%
50 1
 
0.1%
100 1
 
0.1%

Length

2023-12-11T05:16:26.575388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:26.767694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 728
93.8%
0 46
 
5.9%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

Sample

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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>
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