Overview

Dataset statistics

Number of variables37
Number of observations770
Missing cells6344
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory240.0 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_10_31_01_P_골프연습장업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090911&dataSetDetailId=DDI_0000090956&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 (98.2%)Imbalance
휴업종료일자 is highly imbalanced (98.2%)Imbalance
지도자수 is highly imbalanced (72.5%)Imbalance
건축물동수 is highly imbalanced (55.5%)Imbalance
회원모집총인원 is highly imbalanced (87.9%)Imbalance
인허가취소일자 has 770 (100.0%) missing valuesMissing
폐업일자 has 425 (55.2%) missing valuesMissing
재개업일자 has 770 (100.0%) missing valuesMissing
소재지전화 has 145 (18.8%) missing valuesMissing
소재지면적 has 770 (100.0%) missing valuesMissing
소재지우편번호 has 365 (47.4%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.6%) missing valuesMissing
도로명우편번호 has 220 (28.6%) missing valuesMissing
업태구분명 has 770 (100.0%) missing valuesMissing
좌표정보(X) has 13 (1.7%) missing valuesMissing
좌표정보(Y) has 13 (1.7%) missing valuesMissing
건축물연면적 has 521 (67.7%) missing valuesMissing
세부업종명 has 770 (100.0%) missing valuesMissing
법인명 has 770 (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 26 (3.4%) zerosZeros

Reproduction

Analysis started2024-04-17 23:04:03.698604
Analysis finished2024-04-17 23:04:04.472455
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.5
Minimum1
Maximum770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:04.536248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.45
Q1193.25
median385.5
Q3577.75
95-th percentile731.55
Maximum770
Range769
Interquartile range (IQR)384.5

Descriptive statistics

Standard deviation222.42414
Coefficient of variation (CV)0.57697573
Kurtosis-1.2
Mean385.5
Median Absolute Deviation (MAD)192.5
Skewness0
Sum296835
Variance49472.5
MonotonicityStrictly increasing
2024-04-18T08:04:04.676893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
579 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
Other values (760) 760
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 (%)
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%
762 1
0.1%
761 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
골프연습장업
770 

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 770
100.0%

Length

2024-04-18T08:04:04.801358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:04.895426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 770
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
10_31_01_P
770 

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 770
100.0%

Length

2024-04-18T08:04:04.982024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:05.067142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 770
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453363.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:05.142552image/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 deviation19338.481
Coefficient of variation (CV)0.005599897
Kurtosis-0.44773343
Mean3453363.6
Median Absolute Deviation (MAD)10000
Skewness-0.80192376
Sum2.65909 × 109
Variance3.7397683 × 108
MonotonicityIncreasing
2024-04-18T08:04:05.264540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 203
26.4%
3460000 193
25.1%
3450000 141
18.3%
3420000 98
12.7%
3480000 52
 
6.8%
3430000 35
 
4.5%
3410000 28
 
3.6%
3440000 20
 
2.6%
ValueCountFrequency (%)
3410000 28
 
3.6%
3420000 98
12.7%
3430000 35
 
4.5%
3440000 20
 
2.6%
3450000 141
18.3%
3460000 193
25.1%
3470000 203
26.4%
3480000 52
 
6.8%
ValueCountFrequency (%)
3480000 52
 
6.8%
3470000 203
26.4%
3460000 193
25.1%
3450000 141
18.3%
3440000 20
 
2.6%
3430000 35
 
4.5%
3420000 98
12.7%
3410000 28
 
3.6%

관리번호
Text

Distinct256
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-18T08:04:05.475501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15400
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

Unique69 ?
Unique (%)9.0%

Sample

1st rowCDFH3301052008000006
2nd rowCDFH3301052001000001
3rd rowCDFH3301052008000004
4th rowCDFH3301052008000003
5th rowCDFH3301052016000002
ValueCountFrequency (%)
cdfh3301052010000001 8
 
1.0%
cdfh3301052010000003 8
 
1.0%
cdfh3301052010000002 8
 
1.0%
cdfh3301052012000001 8
 
1.0%
cdfh3301052007000001 8
 
1.0%
cdfh3301052018000001 7
 
0.9%
cdfh3301052011000001 7
 
0.9%
cdfh3301052008000002 7
 
0.9%
cdfh3301052017000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
Other values (246) 695
90.3%
2024-04-18T08:04:05.787836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6467
42.0%
3 1697
 
11.0%
1 1533
 
10.0%
2 975
 
6.3%
5 892
 
5.8%
C 770
 
5.0%
D 770
 
5.0%
F 770
 
5.0%
H 770
 
5.0%
9 199
 
1.3%
Other values (4) 557
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12320
80.0%
Uppercase Letter 3080
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6467
52.5%
3 1697
 
13.8%
1 1533
 
12.4%
2 975
 
7.9%
5 892
 
7.2%
9 199
 
1.6%
8 156
 
1.3%
7 145
 
1.2%
4 139
 
1.1%
6 117
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 770
25.0%
D 770
25.0%
F 770
25.0%
H 770
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12320
80.0%
Latin 3080
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6467
52.5%
3 1697
 
13.8%
1 1533
 
12.4%
2 975
 
7.9%
5 892
 
7.2%
9 199
 
1.6%
8 156
 
1.3%
7 145
 
1.2%
4 139
 
1.1%
6 117
 
0.9%
Latin
ValueCountFrequency (%)
C 770
25.0%
D 770
25.0%
F 770
25.0%
H 770
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6467
42.0%
3 1697
 
11.0%
1 1533
 
10.0%
2 975
 
6.3%
5 892
 
5.8%
C 770
 
5.0%
D 770
 
5.0%
F 770
 
5.0%
H 770
 
5.0%
9 199
 
1.3%
Other values (4) 557
 
3.6%

인허가일자
Real number (ℝ)

Distinct699
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098028
Minimum19891220
Maximum20210811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:05.921278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20001066
Q120070315
median20091114
Q320140620
95-th percentile20190869
Maximum20210811
Range319591
Interquartile range (IQR)70304.25

Descriptive statistics

Standard deviation58834.573
Coefficient of variation (CV)0.0029273804
Kurtosis0.41401608
Mean20098028
Median Absolute Deviation (MAD)30587.5
Skewness-0.36217867
Sum1.5475482 × 1010
Variance3.461507 × 109
MonotonicityNot monotonic
2024-04-18T08:04:06.050463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111108 3
 
0.4%
20080521 3
 
0.4%
20100325 3
 
0.4%
20070919 3
 
0.4%
20070703 3
 
0.4%
20070607 3
 
0.4%
20080527 3
 
0.4%
20070403 3
 
0.4%
20101111 2
 
0.3%
20101208 2
 
0.3%
Other values (689) 742
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 (%)
20210811 1
0.1%
20210616 1
0.1%
20210603 1
0.1%
20210527 1
0.1%
20210521 1
0.1%
20210401 1
0.1%
20210330 1
0.1%
20210312 1
0.1%
20210311 1
0.1%
20210303 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
1
422 
3
302 
4
44 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 422
54.8%
3 302
39.2%
4 44
 
5.7%
2 2
 
0.3%

Length

2024-04-18T08:04:06.167635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:06.259851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 422
54.8%
3 302
39.2%
4 44
 
5.7%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업/정상
422 
폐업
302 
취소/말소/만료/정지/중지
44 
휴업
 
2

Length

Max length14
Median length5
Mean length4.3298701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 422
54.8%
폐업 302
39.2%
취소/말소/만료/정지/중지 44
 
5.7%
휴업 2
 
0.3%

Length

2024-04-18T08:04:06.376044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:06.508577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 422
54.8%
폐업 302
39.2%
취소/말소/만료/정지/중지 44
 
5.7%
휴업 2
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
13
422 
3
301 
35
44 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.6064935
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 422
54.8%
3 301
39.1%
35 44
 
5.7%
2 2
 
0.3%
34 1
 
0.1%

Length

2024-04-18T08:04:06.615712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:06.713264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 422
54.8%
3 301
39.1%
35 44
 
5.7%
2 2
 
0.3%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
영업중
422 
폐업
301 
직권말소
44 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6662338
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 422
54.8%
폐업 301
39.1%
직권말소 44
 
5.7%
휴업 2
 
0.3%
영업장폐쇄 1
 
0.1%

Length

2024-04-18T08:04:06.820487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:06.924268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 422
54.8%
폐업 301
39.1%
직권말소 44
 
5.7%
휴업 2
 
0.3%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct256
Distinct (%)74.2%
Missing425
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean20155249
Minimum20030131
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:07.048806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20052934
Q120130129
median20170718
Q320190729
95-th percentile20210219
Maximum20210831
Range180700
Interquartile range (IQR)60600

Descriptive statistics

Standard deviation47465.928
Coefficient of variation (CV)0.0023550157
Kurtosis-0.17578356
Mean20155249
Median Absolute Deviation (MAD)30015
Skewness-0.84324087
Sum6.953561 × 109
Variance2.2530143 × 109
MonotonicityNot monotonic
2024-04-18T08:04:07.186825image/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%
20180905 6
 
0.8%
20190329 6
 
0.8%
20181026 5
 
0.6%
20210115 4
 
0.5%
20140313 3
 
0.4%
Other values (246) 268
34.8%
(Missing) 425
55.2%
ValueCountFrequency (%)
20030131 1
0.1%
20030319 1
0.1%
20030624 1
0.1%
20040203 1
0.1%
20040305 1
0.1%
20040316 1
0.1%
20040413 1
0.1%
20040501 1
0.1%
20040531 1
0.1%
20040623 1
0.1%
ValueCountFrequency (%)
20210831 1
0.1%
20210810 1
0.1%
20210809 1
0.1%
20210727 1
0.1%
20210721 1
0.1%
20210630 1
0.1%
20210628 1
0.1%
20210526 1
0.1%
20210510 1
0.1%
20210429 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
768 
20210803
 
1
20191218
 
1

Length

Max length8
Median length4
Mean length4.0103896
Min length4

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> 768
99.7%
20210803 1
 
0.1%
20191218 1
 
0.1%

Length

2024-04-18T08:04:07.317627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:07.417779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 768
99.7%
20210803 1
 
0.1%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
768 
20210803
 
1
20211217
 
1

Length

Max length8
Median length4
Mean length4.0103896
Min length4

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> 768
99.7%
20210803 1
 
0.1%
20211217 1
 
0.1%

Length

2024-04-18T08:04:07.534175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:07.642697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 768
99.7%
20210803 1
 
0.1%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Text

MISSING 

Distinct605
Distinct (%)96.8%
Missing145
Missing (%)18.8%
Memory size6.1 KiB
2024-04-18T08:04:07.865165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.368
Min length7

Characters and Unicode

Total characters6480
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

Unique586 ?
Unique (%)93.8%

Sample

1st row426-4777
2nd row422-0750
3rd row426-8900
4th row422-0753
5th row235-9610
ValueCountFrequency (%)
326-3079 3
 
0.5%
053-965-0753 2
 
0.3%
053 2
 
0.3%
053-637-0046 2
 
0.3%
476-0077 2
 
0.3%
053-753-0701 2
 
0.3%
053-964-1237 2
 
0.3%
326-6888 2
 
0.3%
053-763-0753 2
 
0.3%
291-9090 2
 
0.3%
Other values (598) 608
96.7%
2024-04-18T08:04:08.227625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1033
15.9%
- 964
14.9%
5 933
14.4%
3 797
12.3%
7 637
9.8%
6 445
6.9%
2 373
 
5.8%
1 354
 
5.5%
8 329
 
5.1%
9 303
 
4.7%
Other values (5) 312
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5502
84.9%
Dash Punctuation 964
 
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 1033
18.8%
5 933
17.0%
3 797
14.5%
7 637
11.6%
6 445
8.1%
2 373
 
6.8%
1 354
 
6.4%
8 329
 
6.0%
9 303
 
5.5%
4 298
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 964
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 6480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1033
15.9%
- 964
14.9%
5 933
14.4%
3 797
12.3%
7 637
9.8%
6 445
6.9%
2 373
 
5.8%
1 354
 
5.5%
8 329
 
5.1%
9 303
 
4.7%
Other values (5) 312
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1033
15.9%
- 964
14.9%
5 933
14.4%
3 797
12.3%
7 637
9.8%
6 445
6.9%
2 373
 
5.8%
1 354
 
5.5%
8 329
 
5.1%
9 303
 
4.7%
Other values (5) 312
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)57.0%
Missing365
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean704631.73
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:08.360303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700865.6
Q1702886
median704830
Q3705835
95-th percentile706844.8
Maximum711857
Range11837
Interquartile range (IQR)2949

Descriptive statistics

Standard deviation2128.5765
Coefficient of variation (CV)0.0030208354
Kurtosis2.028238
Mean704631.73
Median Absolute Deviation (MAD)1202
Skewness0.54309361
Sum2.8537585 × 108
Variance4530837.8
MonotonicityNot monotonic
2024-04-18T08:04:08.518165image/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%
706803 5
 
0.6%
704928 5
 
0.6%
706839 4
 
0.5%
Other values (221) 336
43.6%
(Missing) 365
47.4%
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 

Distinct731
Distinct (%)96.2%
Missing10
Missing (%)1.3%
Memory size6.1 KiB
2024-04-18T08:04:08.796656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.378947
Min length13

Characters and Unicode

Total characters18528
Distinct characters258
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

Unique705 ?
Unique (%)92.8%

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 760
 
21.3%
달서구 194
 
5.4%
수성구 193
 
5.4%
북구 141
 
4.0%
동구 98
 
2.7%
지하1층 54
 
1.5%
2층 53
 
1.5%
달성군 52
 
1.5%
서구 34
 
1.0%
범어동 33
 
0.9%
Other values (1018) 1957
54.8%
2024-04-18T08:04:09.219789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3544
19.1%
구 1481
 
8.0%
동 888
 
4.8%
1 860
 
4.6%
대 797
 
4.3%
시 776
 
4.2%
역 762
 
4.1%
광 761
 
4.1%
지 730
 
3.9%
- 586
 
3.2%
Other values (248) 7343
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10540
56.9%
Decimal Number 3738
 
20.2%
Space Separator 3544
 
19.1%
Dash Punctuation 586
 
3.2%
Close Punctuation 33
 
0.2%
Open Punctuation 33
 
0.2%
Other Punctuation 32
 
0.2%
Uppercase Letter 17
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1481
14.1%
동 888
 
8.4%
대 797
 
7.6%
시 776
 
7.4%
역 762
 
7.2%
광 761
 
7.2%
지 730
 
6.9%
번 578
 
5.5%
성 322
 
3.1%
층 265
 
2.5%
Other values (224) 3180
30.2%
Decimal Number
ValueCountFrequency (%)
1 860
23.0%
2 522
14.0%
3 447
12.0%
4 348
9.3%
5 316
 
8.5%
0 316
 
8.5%
8 263
 
7.0%
6 238
 
6.4%
7 237
 
6.3%
9 191
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
58.8%
A 3
 
17.6%
M 2
 
11.8%
G 1
 
5.9%
C 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 26
81.2%
/ 3
 
9.4%
. 2
 
6.2%
@ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
3544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 586
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10540
56.9%
Common 7971
43.0%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1481
14.1%
동 888
 
8.4%
대 797
 
7.6%
시 776
 
7.4%
역 762
 
7.2%
광 761
 
7.2%
지 730
 
6.9%
번 578
 
5.5%
성 322
 
3.1%
층 265
 
2.5%
Other values (224) 3180
30.2%
Common
ValueCountFrequency (%)
3544
44.5%
1 860
 
10.8%
- 586
 
7.4%
2 522
 
6.5%
3 447
 
5.6%
4 348
 
4.4%
5 316
 
4.0%
0 316
 
4.0%
8 263
 
3.3%
6 238
 
3.0%
Other values (9) 531
 
6.7%
Latin
ValueCountFrequency (%)
B 10
58.8%
A 3
 
17.6%
M 2
 
11.8%
G 1
 
5.9%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10540
56.9%
ASCII 7988
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3544
44.4%
1 860
 
10.8%
- 586
 
7.3%
2 522
 
6.5%
3 447
 
5.6%
4 348
 
4.4%
5 316
 
4.0%
0 316
 
4.0%
8 263
 
3.3%
6 238
 
3.0%
Other values (14) 548
 
6.9%
Hangul
ValueCountFrequency (%)
구 1481
14.1%
동 888
 
8.4%
대 797
 
7.6%
시 776
 
7.4%
역 762
 
7.2%
광 761
 
7.2%
지 730
 
6.9%
번 578
 
5.5%
성 322
 
3.1%
층 265
 
2.5%
Other values (224) 3180
30.2%

도로명전체주소
Text

MISSING 

Distinct743
Distinct (%)98.0%
Missing12
Missing (%)1.6%
Memory size6.1 KiB
2024-04-18T08:04:09.558509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.241425
Min length19

Characters and Unicode

Total characters21407
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

Unique729 ?
Unique (%)96.2%

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 758
 
17.6%
달서구 199
 
4.6%
수성구 191
 
4.4%
북구 141
 
3.3%
동구 97
 
2.3%
2층 61
 
1.4%
달성군 51
 
1.2%
달구벌대로 37
 
0.9%
3층 37
 
0.9%
서구 35
 
0.8%
Other values (1098) 2701
62.7%
2024-04-18T08:04:10.088428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3667
 
17.1%
구 1584
 
7.4%
동 1009
 
4.7%
대 943
 
4.4%
시 777
 
3.6%
광 764
 
3.6%
역 763
 
3.6%
로 747
 
3.5%
1 740
 
3.5%
) 724
 
3.4%
Other values (299) 9689
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12439
58.1%
Space Separator 3667
 
17.1%
Decimal Number 3180
 
14.9%
Close Punctuation 724
 
3.4%
Open Punctuation 724
 
3.4%
Other Punctuation 539
 
2.5%
Dash Punctuation 102
 
0.5%
Uppercase Letter 24
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1584
 
12.7%
동 1009
 
8.1%
대 943
 
7.6%
시 777
 
6.2%
광 764
 
6.1%
역 763
 
6.1%
로 747
 
6.0%
성 370
 
3.0%
층 362
 
2.9%
달 321
 
2.6%
Other values (271) 4799
38.6%
Decimal Number
ValueCountFrequency (%)
1 740
23.3%
2 522
16.4%
3 350
11.0%
4 297
9.3%
0 279
 
8.8%
5 259
 
8.1%
6 226
 
7.1%
7 184
 
5.8%
9 164
 
5.2%
8 159
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
41.7%
A 4
 
16.7%
C 2
 
8.3%
G 2
 
8.3%
T 1
 
4.2%
M 1
 
4.2%
S 1
 
4.2%
K 1
 
4.2%
P 1
 
4.2%
Y 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 533
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 724
100.0%
Open Punctuation
ValueCountFrequency (%)
( 724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12439
58.1%
Common 8944
41.8%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1584
 
12.7%
동 1009
 
8.1%
대 943
 
7.6%
시 777
 
6.2%
광 764
 
6.1%
역 763
 
6.1%
로 747
 
6.0%
성 370
 
3.0%
층 362
 
2.9%
달 321
 
2.6%
Other values (271) 4799
38.6%
Common
ValueCountFrequency (%)
3667
41.0%
1 740
 
8.3%
) 724
 
8.1%
( 724
 
8.1%
, 533
 
6.0%
2 522
 
5.8%
3 350
 
3.9%
4 297
 
3.3%
0 279
 
3.1%
5 259
 
2.9%
Other values (8) 849
 
9.5%
Latin
ValueCountFrequency (%)
B 10
41.7%
A 4
 
16.7%
C 2
 
8.3%
G 2
 
8.3%
T 1
 
4.2%
M 1
 
4.2%
S 1
 
4.2%
K 1
 
4.2%
P 1
 
4.2%
Y 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12439
58.1%
ASCII 8968
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3667
40.9%
1 740
 
8.3%
) 724
 
8.1%
( 724
 
8.1%
, 533
 
5.9%
2 522
 
5.8%
3 350
 
3.9%
4 297
 
3.3%
0 279
 
3.1%
5 259
 
2.9%
Other values (18) 873
 
9.7%
Hangul
ValueCountFrequency (%)
구 1584
 
12.7%
동 1009
 
8.1%
대 943
 
7.6%
시 777
 
6.2%
광 764
 
6.1%
역 763
 
6.1%
로 747
 
6.0%
성 370
 
3.0%
층 362
 
2.9%
달 321
 
2.6%
Other values (271) 4799
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct363
Distinct (%)66.0%
Missing220
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean81712.978
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:10.220335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41076.35
Q141475
median42129.5
Q342697.5
95-th percentile700768.5
Maximum706846
Range665844
Interquartile range (IQR)1222.5

Descriptive statistics

Standard deviation157337.74
Coefficient of variation (CV)1.9254926
Kurtosis11.84922
Mean81712.978
Median Absolute Deviation (MAD)624.5
Skewness3.7155988
Sum44942138
Variance2.4755164 × 1010
MonotonicityNot monotonic
2024-04-18T08:04:10.342901image/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%
41026 5
 
0.6%
41086 5
 
0.6%
42921 5
 
0.6%
42217 5
 
0.6%
42038 5
 
0.6%
42175 4
 
0.5%
Other values (353) 489
63.5%
(Missing) 220
28.6%
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

Distinct715
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-04-18T08:04:10.585352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.1051948
Min length2

Characters and Unicode

Total characters6241
Distinct characters383
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

Unique665 ?
Unique (%)86.4%

Sample

1st row동인실내골프연습장
2nd rowGM골프연습장
3rd row에스에스 골프클럽
4th row조아스크린골프연습장
5th row탑스크린골프
ValueCountFrequency (%)
골프 40
 
3.8%
스크린골프 38
 
3.6%
스크린 36
 
3.4%
골프연습장 28
 
2.7%
아카데미 17
 
1.6%
골프아카데미 10
 
1.0%
스크린골프연습장 9
 
0.9%
골프클럽 7
 
0.7%
golf 6
 
0.6%
골프존파크 6
 
0.6%
Other values (756) 848
81.1%
2024-04-18T08:04:10.955649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 699
 
11.2%
골 692
 
11.1%
스 452
 
7.2%
크 339
 
5.4%
린 329
 
5.3%
275
 
4.4%
장 227
 
3.6%
연 217
 
3.5%
습 215
 
3.4%
아 105
 
1.7%
Other values (373) 2691
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5571
89.3%
Uppercase Letter 277
 
4.4%
Space Separator 275
 
4.4%
Lowercase Letter 28
 
0.4%
Decimal Number 27
 
0.4%
Close Punctuation 24
 
0.4%
Open Punctuation 23
 
0.4%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 699
 
12.5%
골 692
 
12.4%
스 452
 
8.1%
크 339
 
6.1%
린 329
 
5.9%
장 227
 
4.1%
연 217
 
3.9%
습 215
 
3.9%
아 105
 
1.9%
미 89
 
1.6%
Other values (323) 2207
39.6%
Uppercase Letter
ValueCountFrequency (%)
G 54
19.5%
S 36
13.0%
K 21
 
7.6%
M 20
 
7.2%
J 19
 
6.9%
T 13
 
4.7%
B 12
 
4.3%
C 11
 
4.0%
D 10
 
3.6%
R 10
 
3.6%
Other values (13) 71
25.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
l 4
14.3%
o 4
14.3%
f 3
10.7%
n 2
 
7.1%
h 2
 
7.1%
t 2
 
7.1%
j 1
 
3.6%
k 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 (%)
275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5571
89.3%
Common 365
 
5.8%
Latin 305
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 699
 
12.5%
골 692
 
12.4%
스 452
 
8.1%
크 339
 
6.1%
린 329
 
5.9%
장 227
 
4.1%
연 217
 
3.9%
습 215
 
3.9%
아 105
 
1.9%
미 89
 
1.6%
Other values (323) 2207
39.6%
Latin
ValueCountFrequency (%)
G 54
17.7%
S 36
 
11.8%
K 21
 
6.9%
M 20
 
6.6%
J 19
 
6.2%
T 13
 
4.3%
B 12
 
3.9%
C 11
 
3.6%
D 10
 
3.3%
R 10
 
3.3%
Other values (26) 99
32.5%
Common
ValueCountFrequency (%)
275
75.3%
) 24
 
6.6%
( 23
 
6.3%
& 7
 
1.9%
2 7
 
1.9%
1 6
 
1.6%
. 6
 
1.6%
6 4
 
1.1%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 7
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5571
89.3%
ASCII 670
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 699
 
12.5%
골 692
 
12.4%
스 452
 
8.1%
크 339
 
6.1%
린 329
 
5.9%
장 227
 
4.1%
연 217
 
3.9%
습 215
 
3.9%
아 105
 
1.9%
미 89
 
1.6%
Other values (323) 2207
39.6%
ASCII
ValueCountFrequency (%)
275
41.0%
G 54
 
8.1%
S 36
 
5.4%
) 24
 
3.6%
( 23
 
3.4%
K 21
 
3.1%
M 20
 
3.0%
J 19
 
2.8%
T 13
 
1.9%
B 12
 
1.8%
Other values (40) 173
25.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct770
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.017345 × 1013
Minimum2.0030127 × 1013
Maximum2.0210831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:11.093747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0081061 × 1013
Q12.0160305 × 1013
median2.0190225 × 1013
Q32.0200617 × 1013
95-th percentile2.0210625 × 1013
Maximum2.0210831 × 1013
Range1.8070401 × 1011
Interquartile range (IQR)4.0312489 × 1010

Descriptive statistics

Standard deviation3.981835 × 1010
Coefficient of variation (CV)0.0019737997
Kurtosis2.1155289
Mean2.017345 × 1013
Median Absolute Deviation (MAD)1.9418507 × 1010
Skewness-1.572284
Sum1.5533557 × 1016
Variance1.585501 × 1021
MonotonicityNot monotonic
2024-04-18T08:04:11.239884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210129092943 1
 
0.1%
20141119134346 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%
20190729100720 1
 
0.1%
Other values (760) 760
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 (%)
20210831153309 1
0.1%
20210824150406 1
0.1%
20210823171606 1
0.1%
20210819154219 1
0.1%
20210819131054 1
0.1%
20210813130924 1
0.1%
20210811155731 1
0.1%
20210811114326 1
0.1%
20210809111614 1
0.1%
20210803154455 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
U
402 
I
368 

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 (%)
U 402
52.2%
I 368
47.8%

Length

2024-04-18T08:04:11.364146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:11.448412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 402
52.2%
i 368
47.8%

데이터갱신일자
Date

Distinct253
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-09-02 02:40:00
2024-04-18T08:04:11.551432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:04:11.672642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct648
Distinct (%)85.6%
Missing13
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean343139.42
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:11.796923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile334316.35
Q1338844.39
median343668.47
Q3346867.98
95-th percentile354293
Maximum357870.14
Range30371.807
Interquartile range (IQR)8023.5962

Descriptive statistics

Standard deviation5843.1227
Coefficient of variation (CV)0.017028422
Kurtosis-0.29282425
Mean343139.42
Median Absolute Deviation (MAD)3953.8682
Skewness0.13973553
Sum2.5975654 × 108
Variance34142083
MonotonicityNot monotonic
2024-04-18T08:04:11.921465image/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%
340873.134187 3
 
0.4%
339574.568458 3
 
0.4%
346271.979582 3
 
0.4%
347422.65742 3
 
0.4%
346769.820444 3
 
0.4%
346867.984705 3
 
0.4%
Other values (638) 722
93.8%
(Missing) 13
 
1.7%
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 

Distinct648
Distinct (%)85.6%
Missing13
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean263150.33
Minimum238769.81
Maximum274284.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:12.082005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257450.95
Q1260528.63
median263030.1
Q3265312.31
95-th percentile272479.2
Maximum274284.78
Range35514.971
Interquartile range (IQR)4783.682

Descriptive statistics

Standard deviation4829.095
Coefficient of variation (CV)0.018351088
Kurtosis3.6235055
Mean263150.33
Median Absolute Deviation (MAD)2385.8961
Skewness-0.68765275
Sum1.992048 × 108
Variance23320159
MonotonicityNot monotonic
2024-04-18T08:04:12.215568image/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%
272651.408529 3
 
0.4%
267880.681218 3
 
0.4%
259441.744147 3
 
0.4%
264544.009327 3
 
0.4%
259787.645722 3
 
0.4%
262864.425631 3
 
0.4%
Other values (638) 722
93.8%
(Missing) 13
 
1.7%
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 size6.1 KiB
골프연습장업
770 

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 770
100.0%

Length

2024-04-18T08:04:12.341961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:12.432775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 770
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
사립
770 

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 770
100.0%

Length

2024-04-18T08:04:12.516933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:12.611975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 770
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
601 
0
88 
Y
81 

Length

Max length4
Median length4
Mean length3.3415584
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> 601
78.1%
0 88
 
11.4%
Y 81
 
10.5%

Length

2024-04-18T08:04:12.723522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:12.821405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 601
78.1%
0 88
 
11.4%
y 81
 
10.5%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
701 
1
 
39
0
 
25
2
 
5

Length

Max length4
Median length4
Mean length3.7311688
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> 701
91.0%
1 39
 
5.1%
0 25
 
3.2%
2 5
 
0.6%

Length

2024-04-18T08:04:12.923486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:13.020552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 701
91.0%
1 39
 
5.1%
0 25
 
3.2%
2 5
 
0.6%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
659 
1
86 
0
 
25

Length

Max length4
Median length4
Mean length3.5675325
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> 659
85.6%
1 86
 
11.2%
0 25
 
3.2%

Length

2024-04-18T08:04:13.124483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:13.219154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 659
85.6%
1 86
 
11.2%
0 25
 
3.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct209
Distinct (%)83.9%
Missing521
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean5124.8073
Minimum0
Maximum488305
Zeros26
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-18T08:04:13.338104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1478.29
median1292.5
Q32673.55
95-th percentile8954.066
Maximum488305
Range488305
Interquartile range (IQR)2195.26

Descriptive statistics

Standard deviation32381.885
Coefficient of variation (CV)6.3186541
Kurtosis202.78666
Mean5124.8073
Median Absolute Deviation (MAD)979.28
Skewness13.791816
Sum1276077
Variance1.0485865 × 109
MonotonicityNot monotonic
2024-04-18T08:04:14.056176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
3.4%
4540.17 2
 
0.3%
1284.46 2
 
0.3%
4991.45 2
 
0.3%
1157.22 2
 
0.3%
2677.94 2
 
0.3%
3653.0 2
 
0.3%
9376.11 2
 
0.3%
3613.14 2
 
0.3%
99.0 2
 
0.3%
Other values (199) 205
 
26.6%
(Missing) 521
67.7%
ValueCountFrequency (%)
0.0 26
3.4%
83.0 1
 
0.1%
99.0 2
 
0.3%
127.9 1
 
0.1%
148.66 1
 
0.1%
151.0 1
 
0.1%
201.96 1
 
0.1%
202.01 1
 
0.1%
210.56 1
 
0.1%
211.23 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%
9572.98 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
742 
0
 
26
100
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.8948052
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> 742
96.4%
0 26
 
3.4%
100 1
 
0.1%
50 1
 
0.1%

Length

2024-04-18T08:04:14.186265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:04:14.286838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 742
96.4%
0 26
 
3.4%
100 1
 
0.1%
50 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing770
Missing (%)100.0%
Memory size6.9 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
760761골프연습장업10_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>
761762골프연습장업10_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>
762763골프연습장업10_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>
763764골프연습장업10_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>
764765골프연습장업10_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>
765766골프연습장업10_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>
766767골프연습장업10_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>
767768골프연습장업10_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>
768769골프연습장업10_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>
769770골프연습장업10_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>332619.216116255787.236689골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>