Overview

Dataset statistics

Number of variables37
Number of observations788
Missing cells6448
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory245.6 KiB
Average record size in memory319.2 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년11월_6270000_대구광역시_10_31_01_P_골프연습장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097056&dataSetDetailId=DDI_0000097082&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 (58.9%)Imbalance
회원모집총인원 is highly imbalanced (74.1%)Imbalance
인허가취소일자 has 788 (100.0%) missing valuesMissing
폐업일자 has 412 (52.3%) missing valuesMissing
재개업일자 has 788 (100.0%) missing valuesMissing
소재지전화 has 157 (19.9%) missing valuesMissing
소재지면적 has 788 (100.0%) missing valuesMissing
소재지우편번호 has 387 (49.1%) missing valuesMissing
소재지전체주소 has 10 (1.3%) missing valuesMissing
도로명전체주소 has 12 (1.5%) missing valuesMissing
도로명우편번호 has 219 (27.8%) missing valuesMissing
업태구분명 has 788 (100.0%) missing valuesMissing
좌표정보(X) has 16 (2.0%) missing valuesMissing
좌표정보(Y) has 16 (2.0%) missing valuesMissing
건축물연면적 has 491 (62.3%) missing valuesMissing
세부업종명 has 788 (100.0%) missing valuesMissing
법인명 has 788 (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 71 (9.0%) zerosZeros

Reproduction

Analysis started2024-04-17 17:55:38.576505
Analysis finished2024-04-17 17:55:39.319186
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct788
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.5
Minimum1
Maximum788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:39.393927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.35
Q1197.75
median394.5
Q3591.25
95-th percentile748.65
Maximum788
Range787
Interquartile range (IQR)393.5

Descriptive statistics

Standard deviation227.6203
Coefficient of variation (CV)0.57698428
Kurtosis-1.2
Mean394.5
Median Absolute Deviation (MAD)197
Skewness0
Sum310866
Variance51811
MonotonicityStrictly increasing
2024-04-18T02:55:39.575978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
520 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
525 1
 
0.1%
526 1
 
0.1%
527 1
 
0.1%
528 1
 
0.1%
529 1
 
0.1%
Other values (778) 778
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 (%)
788 1
0.1%
787 1
0.1%
786 1
0.1%
785 1
0.1%
784 1
0.1%
783 1
0.1%
782 1
0.1%
781 1
0.1%
780 1
0.1%
779 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
골프연습장업
788 

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 788
100.0%

Length

2024-04-18T02:55:39.741502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:39.851955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 788
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
10_31_01_P
788 

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 788
100.0%

Length

2024-04-18T02:55:39.930930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:40.001348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 788
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453540.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:40.073872image/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 deviation19394.313
Coefficient of variation (CV)0.0056157768
Kurtosis-0.44885451
Mean3453540.6
Median Absolute Deviation (MAD)10000
Skewness-0.80401875
Sum2.72139 × 109
Variance3.7613939 × 108
MonotonicityIncreasing
2024-04-18T02:55:40.158026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 211
26.8%
3460000 194
24.6%
3450000 143
18.1%
3420000 101
12.8%
3480000 56
 
7.1%
3430000 35
 
4.4%
3410000 28
 
3.6%
3440000 20
 
2.5%
ValueCountFrequency (%)
3410000 28
 
3.6%
3420000 101
12.8%
3430000 35
 
4.4%
3440000 20
 
2.5%
3450000 143
18.1%
3460000 194
24.6%
3470000 211
26.8%
3480000 56
 
7.1%
ValueCountFrequency (%)
3480000 56
 
7.1%
3470000 211
26.8%
3460000 194
24.6%
3450000 143
18.1%
3440000 20
 
2.5%
3430000 35
 
4.4%
3420000 101
12.8%
3410000 28
 
3.6%

관리번호
Text

Distinct265
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-18T02:55:40.306037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15760
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)9.6%

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%
cdfh3301052009000001 7
 
0.9%
cdfh3301052018000001 7
 
0.9%
cdfh3301052010000004 7
 
0.9%
cdfh3301052005000001 7
 
0.9%
cdfh3301052007000002 7
 
0.9%
Other values (255) 713
90.5%
2024-04-18T02:55:40.549112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6610
41.9%
3 1734
 
11.0%
1 1564
 
9.9%
2 1026
 
6.5%
5 912
 
5.8%
C 788
 
5.0%
D 788
 
5.0%
F 788
 
5.0%
H 788
 
5.0%
9 199
 
1.3%
Other values (4) 563
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12608
80.0%
Uppercase Letter 3152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6610
52.4%
3 1734
 
13.8%
1 1564
 
12.4%
2 1026
 
8.1%
5 912
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 148
 
1.2%
4 141
 
1.1%
6 118
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 788
25.0%
D 788
25.0%
F 788
25.0%
H 788
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12608
80.0%
Latin 3152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6610
52.4%
3 1734
 
13.8%
1 1564
 
12.4%
2 1026
 
8.1%
5 912
 
7.2%
9 199
 
1.6%
8 156
 
1.2%
7 148
 
1.2%
4 141
 
1.1%
6 118
 
0.9%
Latin
ValueCountFrequency (%)
C 788
25.0%
D 788
25.0%
F 788
25.0%
H 788
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6610
41.9%
3 1734
 
11.0%
1 1564
 
9.9%
2 1026
 
6.5%
5 912
 
5.8%
C 788
 
5.0%
D 788
 
5.0%
F 788
 
5.0%
H 788
 
5.0%
9 199
 
1.3%
Other values (4) 563
 
3.6%

인허가일자
Real number (ℝ)

Distinct717
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100793
Minimum19891220
Maximum20221026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:40.663466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891220
5-th percentile20004265
Q120070404
median20091211
Q320141152
95-th percentile20200211
Maximum20221026
Range329806
Interquartile range (IQR)70748.25

Descriptive statistics

Standard deviation60669.353
Coefficient of variation (CV)0.0030182567
Kurtosis0.31132909
Mean20100793
Median Absolute Deviation (MAD)38904.5
Skewness-0.2933428
Sum1.5839425 × 1010
Variance3.6807704 × 109
MonotonicityNot monotonic
2024-04-18T02:55:40.767327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070919 3
 
0.4%
20111108 3
 
0.4%
20080521 3
 
0.4%
20080527 3
 
0.4%
20070703 3
 
0.4%
20100325 3
 
0.4%
20070607 3
 
0.4%
20070403 3
 
0.4%
19900104 2
 
0.3%
20101111 2
 
0.3%
Other values (707) 760
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 (%)
20221026 1
0.1%
20220718 1
0.1%
20220628 1
0.1%
20220523 1
0.1%
20220518 1
0.1%
20220405 1
0.1%
20220329 1
0.1%
20220311 1
0.1%
20220307 1
0.1%
20220302 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
410 
3
333 
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 (%)
1 410
52.0%
3 333
42.3%
4 44
 
5.6%
2 1
 
0.1%

Length

2024-04-18T02:55:40.861394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:40.934357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 410
52.0%
3 333
42.3%
4 44
 
5.6%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
410 
폐업
333 
취소/말소/만료/정지/중지
44 
휴업
 
1

Length

Max length14
Median length5
Mean length4.2309645
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 410
52.0%
폐업 333
42.3%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

Length

2024-04-18T02:55:41.044143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:41.142802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 410
52.0%
폐업 333
42.3%
취소/말소/만료/정지/중지 44
 
5.6%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
13
410 
3
332 
35
44 
34
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.5774112
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 410
52.0%
3 332
42.1%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

Length

2024-04-18T02:55:41.225150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:41.302430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 410
52.0%
3 332
42.1%
35 44
 
5.6%
34 1
 
0.1%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업중
410 
폐업
332 
직권말소
44 
영업장폐쇄
 
1
휴업
 
1

Length

Max length5
Median length3
Mean length2.6357868
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 410
52.0%
폐업 332
42.1%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

Length

2024-04-18T02:55:41.393669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:41.474508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 410
52.0%
폐업 332
42.1%
직권말소 44
 
5.6%
영업장폐쇄 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)75.5%
Missing412
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean20160433
Minimum20030131
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:41.773828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030131
5-th percentile20060292
Q120130723
median20170814
Q320200619
95-th percentile20220323
Maximum20221130
Range190999
Interquartile range (IQR)69896.25

Descriptive statistics

Standard deviation48663.007
Coefficient of variation (CV)0.0024137877
Kurtosis-0.12019856
Mean20160433
Median Absolute Deviation (MAD)30448
Skewness-0.85842689
Sum7.5803229 × 109
Variance2.3680882 × 109
MonotonicityNot monotonic
2024-04-18T02:55:41.894566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210219 16
 
2.0%
20170718 13
 
1.6%
20200617 9
 
1.1%
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 (274) 299
37.9%
(Missing) 412
52.3%
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 (%)
20221130 1
0.1%
20220929 1
0.1%
20220831 1
0.1%
20220805 1
0.1%
20220804 1
0.1%
20220801 1
0.1%
20220729 1
0.1%
20220726 1
0.1%
20220713 1
0.1%
20220617 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
787 
20191218
 
1

Length

Max length8
Median length4
Mean length4.0050761
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> 787
99.9%
20191218 1
 
0.1%

Length

2024-04-18T02:55:42.006515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:42.084755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 787
99.9%
20191218 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
787 
20211217
 
1

Length

Max length8
Median length4
Mean length4.0050761
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> 787
99.9%
20211217 1
 
0.1%

Length

2024-04-18T02:55:42.169889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:42.252114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 787
99.9%
20211217 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

소재지전화
Text

MISSING 

Distinct610
Distinct (%)96.7%
Missing157
Missing (%)19.9%
Memory size6.3 KiB
2024-04-18T02:55:42.437071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.402536
Min length7

Characters and Unicode

Total characters6564
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

Unique590 ?
Unique (%)93.5%

Sample

1st row053)212-3780
2nd row427-8042
3rd row428-2217
4th row423-5516
5th row053-428-7007
ValueCountFrequency (%)
326-3079 3
 
0.5%
053-753-0701 2
 
0.3%
053 2
 
0.3%
476-0077 2
 
0.3%
053-632-0754 2
 
0.3%
053-986-0050 2
 
0.3%
053-964-1237 2
 
0.3%
291-9090 2
 
0.3%
053-632-0707 2
 
0.3%
053-754-0753 2
 
0.3%
Other values (603) 614
96.7%
2024-04-18T02:55:42.728821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1051
16.0%
- 979
14.9%
5 945
14.4%
3 813
12.4%
7 648
9.9%
6 451
6.9%
2 376
 
5.7%
1 353
 
5.4%
8 335
 
5.1%
9 305
 
4.6%
Other values (5) 308
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5571
84.9%
Dash Punctuation 979
 
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 1051
18.9%
5 945
17.0%
3 813
14.6%
7 648
11.6%
6 451
8.1%
2 376
 
6.7%
1 353
 
6.3%
8 335
 
6.0%
9 305
 
5.5%
4 294
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 979
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 6564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1051
16.0%
- 979
14.9%
5 945
14.4%
3 813
12.4%
7 648
9.9%
6 451
6.9%
2 376
 
5.7%
1 353
 
5.4%
8 335
 
5.1%
9 305
 
4.6%
Other values (5) 308
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1051
16.0%
- 979
14.9%
5 945
14.4%
3 813
12.4%
7 648
9.9%
6 451
6.9%
2 376
 
5.7%
1 353
 
5.4%
8 335
 
5.1%
9 305
 
4.6%
Other values (5) 308
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)57.1%
Missing387
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean704636.9
Minimum700020
Maximum711857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:42.848667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile701040
Q1702886
median704830
Q3705835
95-th percentile706845
Maximum711857
Range11837
Interquartile range (IQR)2949

Descriptive statistics

Standard deviation2129.723
Coefficient of variation (CV)0.0030224403
Kurtosis2.036298
Mean704636.9
Median Absolute Deviation (MAD)1211
Skewness0.55441495
Sum2.825594 × 108
Variance4535719.9
MonotonicityNot monotonic
2024-04-18T02:55:42.983017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 11
 
1.4%
704948 9
 
1.1%
702886 9
 
1.1%
704802 7
 
0.9%
704830 7
 
0.9%
704816 6
 
0.8%
704837 6
 
0.8%
704928 5
 
0.6%
706803 5
 
0.6%
704936 4
 
0.5%
Other values (219) 332
42.1%
(Missing) 387
49.1%
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 

Distinct750
Distinct (%)96.4%
Missing10
Missing (%)1.3%
Memory size6.3 KiB
2024-04-18T02:55:43.215358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length24.16838
Min length13

Characters and Unicode

Total characters18803
Distinct characters263
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

Unique724 ?
Unique (%)93.1%

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 778
 
21.3%
달서구 202
 
5.5%
수성구 194
 
5.3%
북구 143
 
3.9%
동구 101
 
2.8%
달성군 56
 
1.5%
지하1층 54
 
1.5%
2층 53
 
1.5%
서구 34
 
0.9%
범어동 33
 
0.9%
Other values (1047) 2004
54.9%
2024-04-18T02:55:43.569093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3625
19.3%
구 1513
 
8.0%
동 905
 
4.8%
1 879
 
4.7%
대 815
 
4.3%
시 794
 
4.2%
역 780
 
4.1%
광 779
 
4.1%
지 662
 
3.5%
- 597
 
3.2%
Other values (253) 7454
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10639
56.6%
Decimal Number 3820
 
20.3%
Space Separator 3625
 
19.3%
Dash Punctuation 597
 
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 1513
14.2%
동 905
 
8.5%
대 815
 
7.7%
시 794
 
7.5%
역 780
 
7.3%
광 779
 
7.3%
지 662
 
6.2%
번 511
 
4.8%
성 332
 
3.1%
서 269
 
2.5%
Other values (229) 3279
30.8%
Decimal Number
ValueCountFrequency (%)
1 879
23.0%
2 532
13.9%
3 454
11.9%
4 351
 
9.2%
0 326
 
8.5%
5 320
 
8.4%
8 271
 
7.1%
6 243
 
6.4%
7 243
 
6.4%
9 201
 
5.3%
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 (%)
3625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 597
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 10639
56.6%
Common 8146
43.3%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1513
14.2%
동 905
 
8.5%
대 815
 
7.7%
시 794
 
7.5%
역 780
 
7.3%
광 779
 
7.3%
지 662
 
6.2%
번 511
 
4.8%
성 332
 
3.1%
서 269
 
2.5%
Other values (229) 3279
30.8%
Common
ValueCountFrequency (%)
3625
44.5%
1 879
 
10.8%
- 597
 
7.3%
2 532
 
6.5%
3 454
 
5.6%
4 351
 
4.3%
0 326
 
4.0%
5 320
 
3.9%
8 271
 
3.3%
6 243
 
3.0%
Other values (9) 548
 
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 10639
56.6%
ASCII 8164
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3625
44.4%
1 879
 
10.8%
- 597
 
7.3%
2 532
 
6.5%
3 454
 
5.6%
4 351
 
4.3%
0 326
 
4.0%
5 320
 
3.9%
8 271
 
3.3%
6 243
 
3.0%
Other values (14) 566
 
6.9%
Hangul
ValueCountFrequency (%)
구 1513
14.2%
동 905
 
8.5%
대 815
 
7.7%
시 794
 
7.5%
역 780
 
7.3%
광 779
 
7.3%
지 662
 
6.2%
번 511
 
4.8%
성 332
 
3.1%
서 269
 
2.5%
Other values (229) 3279
30.8%

도로명전체주소
Text

MISSING 

Distinct759
Distinct (%)97.8%
Missing12
Missing (%)1.5%
Memory size6.3 KiB
2024-04-18T02:55:43.887592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length28.295103
Min length19

Characters and Unicode

Total characters21957
Distinct characters313
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

Unique743 ?
Unique (%)95.7%

Sample

1st row대구광역시 중구 경상감영길 1 (서성로1가)
2nd row대구광역시 중구 대봉로 220-73 (대봉동)
3rd row대구광역시 중구 공평로8길 29 (삼덕동2가)
4th row대구광역시 중구 태평로 192 (태평로1가)
5th row대구광역시 중구 동성로1길 38 (봉산동)
ValueCountFrequency (%)
대구광역시 776
 
17.6%
달서구 207
 
4.7%
수성구 192
 
4.3%
북구 143
 
3.2%
동구 100
 
2.3%
2층 62
 
1.4%
달성군 55
 
1.2%
3층 41
 
0.9%
달구벌대로 37
 
0.8%
지하1층 35
 
0.8%
Other values (1113) 2772
62.7%
2024-04-18T02:55:44.307508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3760
 
17.1%
구 1616
 
7.4%
동 1027
 
4.7%
대 962
 
4.4%
시 795
 
3.6%
광 782
 
3.6%
역 781
 
3.6%
로 765
 
3.5%
1 763
 
3.5%
( 738
 
3.4%
Other values (303) 9968
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12758
58.1%
Space Separator 3760
 
17.1%
Decimal Number 3267
 
14.9%
Open Punctuation 738
 
3.4%
Close Punctuation 738
 
3.4%
Other Punctuation 556
 
2.5%
Dash Punctuation 105
 
0.5%
Uppercase Letter 25
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1616
 
12.7%
동 1027
 
8.0%
대 962
 
7.5%
시 795
 
6.2%
광 782
 
6.1%
역 781
 
6.1%
로 765
 
6.0%
성 380
 
3.0%
층 373
 
2.9%
달 333
 
2.6%
Other values (275) 4944
38.8%
Decimal Number
ValueCountFrequency (%)
1 763
23.4%
2 536
16.4%
3 364
11.1%
4 302
 
9.2%
0 292
 
8.9%
5 264
 
8.1%
6 228
 
7.0%
7 191
 
5.8%
9 164
 
5.0%
8 163
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
G 2
 
8.0%
C 2
 
8.0%
P 1
 
4.0%
M 1
 
4.0%
Y 1
 
4.0%
K 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 550
98.9%
. 4
 
0.7%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 738
100.0%
Close Punctuation
ValueCountFrequency (%)
) 738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12758
58.1%
Common 9174
41.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1616
 
12.7%
동 1027
 
8.0%
대 962
 
7.5%
시 795
 
6.2%
광 782
 
6.1%
역 781
 
6.1%
로 765
 
6.0%
성 380
 
3.0%
층 373
 
2.9%
달 333
 
2.6%
Other values (275) 4944
38.8%
Common
ValueCountFrequency (%)
3760
41.0%
1 763
 
8.3%
( 738
 
8.0%
) 738
 
8.0%
, 550
 
6.0%
2 536
 
5.8%
3 364
 
4.0%
4 302
 
3.3%
0 292
 
3.2%
5 264
 
2.9%
Other values (8) 867
 
9.5%
Latin
ValueCountFrequency (%)
B 11
44.0%
A 4
 
16.0%
G 2
 
8.0%
C 2
 
8.0%
P 1
 
4.0%
M 1
 
4.0%
Y 1
 
4.0%
K 1
 
4.0%
S 1
 
4.0%
T 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12758
58.1%
ASCII 9199
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3760
40.9%
1 763
 
8.3%
( 738
 
8.0%
) 738
 
8.0%
, 550
 
6.0%
2 536
 
5.8%
3 364
 
4.0%
4 302
 
3.3%
0 292
 
3.2%
5 264
 
2.9%
Other values (18) 892
 
9.7%
Hangul
ValueCountFrequency (%)
구 1616
 
12.7%
동 1027
 
8.0%
대 962
 
7.5%
시 795
 
6.2%
광 782
 
6.1%
역 781
 
6.1%
로 765
 
6.0%
성 380
 
3.0%
층 373
 
2.9%
달 333
 
2.6%
Other values (275) 4944
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)65.2%
Missing219
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean80399.798
Minimum41002
Maximum706846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:44.415213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41076.2
Q141475
median42143
Q342714
95-th percentile700596.6
Maximum706846
Range665844
Interquartile range (IQR)1239

Descriptive statistics

Standard deviation154845.43
Coefficient of variation (CV)1.9259431
Kurtosis12.423794
Mean80399.798
Median Absolute Deviation (MAD)620
Skewness3.7920492
Sum45747485
Variance2.3977108 × 1010
MonotonicityNot monotonic
2024-04-18T02:55:44.540969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.6%
41422 7
 
0.9%
42187 6
 
0.8%
41475 6
 
0.8%
42921 6
 
0.8%
41026 6
 
0.8%
42217 5
 
0.6%
41086 5
 
0.6%
42038 5
 
0.6%
41587 4
 
0.5%
Other values (361) 506
64.2%
(Missing) 219
27.8%
ValueCountFrequency (%)
41002 2
 
0.3%
41005 2
 
0.3%
41009 1
 
0.1%
41019 1
 
0.1%
41020 1
 
0.1%
41026 6
0.8%
41027 1
 
0.1%
41043 1
 
0.1%
41046 1
 
0.1%
41047 1
 
0.1%
ValueCountFrequency (%)
706846 1
0.1%
706826 1
0.1%
706823 1
0.1%
706820 1
0.1%
706745 1
0.1%
706738 1
0.1%
706092 1
0.1%
705835 1
0.1%
704944 1
0.1%
704940 1
0.1%

사업장명
Text

Distinct733
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-18T02:55:44.773402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.1954315
Min length2

Characters and Unicode

Total characters6458
Distinct characters389
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique683 ?
Unique (%)86.7%

Sample

1st row우리들골프휘트니스
2nd row삼정골프
3rd row청운골프스쿨
4th row비앤제이
5th row청량골프
ValueCountFrequency (%)
골프 43
 
4.0%
스크린골프 37
 
3.4%
스크린 35
 
3.2%
골프연습장 31
 
2.9%
아카데미 20
 
1.8%
골프아카데미 13
 
1.2%
스크린골프연습장 9
 
0.8%
골프클럽 7
 
0.6%
골프존파크 6
 
0.6%
golf 6
 
0.6%
Other values (779) 877
80.9%
2024-04-18T02:55:45.088807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 714
 
11.1%
골 705
 
10.9%
스 465
 
7.2%
크 344
 
5.3%
린 332
 
5.1%
296
 
4.6%
장 228
 
3.5%
연 220
 
3.4%
습 218
 
3.4%
아 111
 
1.7%
Other values (379) 2825
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5738
88.9%
Uppercase Letter 298
 
4.6%
Space Separator 296
 
4.6%
Close Punctuation 28
 
0.4%
Lowercase Letter 28
 
0.4%
Open Punctuation 27
 
0.4%
Decimal Number 27
 
0.4%
Other Punctuation 15
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 714
 
12.4%
골 705
 
12.3%
스 465
 
8.1%
크 344
 
6.0%
린 332
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 111
 
1.9%
카 98
 
1.7%
Other values (329) 2303
40.1%
Uppercase Letter
ValueCountFrequency (%)
G 57
19.1%
S 42
14.1%
J 20
 
6.7%
M 20
 
6.7%
K 20
 
6.7%
D 14
 
4.7%
T 13
 
4.4%
R 12
 
4.0%
B 12
 
4.0%
C 10
 
3.4%
Other values (13) 78
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
o 4
14.3%
l 4
14.3%
f 3
10.7%
h 2
 
7.1%
n 2
 
7.1%
t 2
 
7.1%
j 1
 
3.6%
a 1
 
3.6%
x 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 (%)
296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5738
88.9%
Common 394
 
6.1%
Latin 326
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 714
 
12.4%
골 705
 
12.3%
스 465
 
8.1%
크 344
 
6.0%
린 332
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 111
 
1.9%
카 98
 
1.7%
Other values (329) 2303
40.1%
Latin
ValueCountFrequency (%)
G 57
17.5%
S 42
 
12.9%
J 20
 
6.1%
M 20
 
6.1%
K 20
 
6.1%
D 14
 
4.3%
T 13
 
4.0%
R 12
 
3.7%
B 12
 
3.7%
C 10
 
3.1%
Other values (26) 106
32.5%
Common
ValueCountFrequency (%)
296
75.1%
) 28
 
7.1%
( 27
 
6.9%
2 7
 
1.8%
& 7
 
1.8%
. 6
 
1.5%
1 6
 
1.5%
6 4
 
1.0%
5 3
 
0.8%
4 3
 
0.8%
Other values (4) 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5738
88.9%
ASCII 720
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 714
 
12.4%
골 705
 
12.3%
스 465
 
8.1%
크 344
 
6.0%
린 332
 
5.8%
장 228
 
4.0%
연 220
 
3.8%
습 218
 
3.8%
아 111
 
1.9%
카 98
 
1.7%
Other values (329) 2303
40.1%
ASCII
ValueCountFrequency (%)
296
41.1%
G 57
 
7.9%
S 42
 
5.8%
) 28
 
3.9%
( 27
 
3.8%
J 20
 
2.8%
M 20
 
2.8%
K 20
 
2.8%
D 14
 
1.9%
T 13
 
1.8%
Other values (40) 183
25.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct788
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178151 × 1013
Minimum2.0030127 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:45.199121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0090149 × 1013
Q12.0161165 × 1013
median2.0190717 × 1013
Q32.0210219 × 1013
95-th percentile2.0220611 × 1013
Maximum2.022113 × 1013
Range1.9100302 × 1011
Interquartile range (IQR)4.9053715 × 1010

Descriptive statistics

Standard deviation4.133454 × 1010
Coefficient of variation (CV)0.0020484801
Kurtosis1.8841291
Mean2.0178151 × 1013
Median Absolute Deviation (MAD)1.9913993 × 1010
Skewness-1.4853321
Sum1.5900383 × 1016
Variance1.7085442 × 1021
MonotonicityNot monotonic
2024-04-18T02:55:45.313571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091126103252 1
 
0.1%
20171124114224 1
 
0.1%
20181109132040 1
 
0.1%
20201231102441 1
 
0.1%
20181123145258 1
 
0.1%
20210315202636 1
 
0.1%
20210204185233 1
 
0.1%
20210118085014 1
 
0.1%
20220518180820 1
 
0.1%
20220523091041 1
 
0.1%
Other values (778) 778
98.7%
ValueCountFrequency (%)
20030127143439 1
0.1%
20030522160701 1
0.1%
20030626155644 1
0.1%
20040203162835 1
0.1%
20040305164920 1
0.1%
20040316102437 1
0.1%
20040413092851 1
0.1%
20040521132716 1
0.1%
20040623102341 1
0.1%
20040910083817 1
0.1%
ValueCountFrequency (%)
20221130165518 1
0.1%
20221130161149 1
0.1%
20221122111414 1
0.1%
20221122105625 1
0.1%
20221115103515 1
0.1%
20221107094232 1
0.1%
20221107092145 1
0.1%
20221107091803 1
0.1%
20221028151845 1
0.1%
20221028151403 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
U
437 
I
351 

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 437
55.5%
I 351
44.5%

Length

2024-04-18T02:55:45.417273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:45.490502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 437
55.5%
i 351
44.5%

데이터갱신일자
Date

Distinct294
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2024-04-18T02:55:45.585814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:55:45.691333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct659
Distinct (%)85.4%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343032.26
Minimum327498.33
Maximum357870.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:45.799291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327498.33
5-th percentile333290.54
Q1338749.18
median343356.9
Q3346867.98
95-th percentile354285
Maximum357870.14
Range30371.807
Interquartile range (IQR)8118.8028

Descriptive statistics

Standard deviation5907.2726
Coefficient of variation (CV)0.017220749
Kurtosis-0.31412475
Mean343032.26
Median Absolute Deviation (MAD)4030.0854
Skewness0.13213158
Sum2.6482091 × 108
Variance34895870
MonotonicityNot monotonic
2024-04-18T02:55:45.899266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339849.860777837 5
 
0.6%
340895.569122613 5
 
0.6%
351945.298975239 4
 
0.5%
338706.883294401 3
 
0.4%
347422.657419824 3
 
0.4%
346867.984705363 3
 
0.4%
355665.232375402 3
 
0.4%
339574.568457952 3
 
0.4%
340873.134186707 3
 
0.4%
343989.148954259 3
 
0.4%
Other values (649) 737
93.5%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
327498.328919814 1
0.1%
328171.38241643 1
0.1%
328293.623590322 1
0.1%
328835.504223247 1
0.1%
329730.405935653 1
0.1%
329813.136009712 1
0.1%
329931.551476846 1
0.1%
330010.742978997 1
0.1%
330325.906026892 1
0.1%
330435.153561728 2
0.3%
ValueCountFrequency (%)
357870.136201308 1
0.1%
357832.242269486 1
0.1%
356433.80989924 2
0.3%
356353.915440362 1
0.1%
356351.617490545 1
0.1%
356310.91765893 1
0.1%
355769.203833617 1
0.1%
355716.735045617 1
0.1%
355698.810726211 1
0.1%
355694.01492302 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct659
Distinct (%)85.4%
Missing16
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263059.59
Minimum238769.81
Maximum274284.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:46.000906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257376.25
Q1260317.2
median263020.81
Q3265312.31
95-th percentile272480.03
Maximum274284.78
Range35514.971
Interquartile range (IQR)4995.1128

Descriptive statistics

Standard deviation4989.8141
Coefficient of variation (CV)0.018968379
Kurtosis3.4746051
Mean263059.59
Median Absolute Deviation (MAD)2487.1854
Skewness-0.76097416
Sum2.0308201 × 108
Variance24898244
MonotonicityNot monotonic
2024-04-18T02:55:46.104802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257521.210538211 5
 
0.6%
272482.628300685 5
 
0.6%
265312.312735967 4
 
0.5%
257347.594572499 3
 
0.4%
264544.009326814 3
 
0.4%
262864.425630556 3
 
0.4%
264323.705483609 3
 
0.4%
267880.681218 3
 
0.4%
272651.408529432 3
 
0.4%
265465.247822228 3
 
0.4%
Other values (649) 737
93.5%
(Missing) 16
 
2.0%
ValueCountFrequency (%)
238769.812521748 1
0.1%
239961.682616529 1
0.1%
240790.294842875 1
0.1%
243626.759583297 1
0.1%
243669.128702281 1
0.1%
244258.573643283 1
0.1%
244402.559937905 1
0.1%
244623.565628627 1
0.1%
244661.838228877 1
0.1%
244677.980445693 1
0.1%
ValueCountFrequency (%)
274284.783060572 1
0.1%
273873.569896227 2
0.3%
273573.031507575 1
0.1%
273523.341721362 1
0.1%
273408.810725525 1
0.1%
273367.914662366 1
0.1%
273227.276823379 1
0.1%
273080.521641193 2
0.3%
272988.868487103 1
0.1%
272960.803625499 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
골프연습장업
788 

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 788
100.0%

Length

2024-04-18T02:55:46.200392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:46.267133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 788
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
사립
788 

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 788
100.0%

Length

2024-04-18T02:55:46.337421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:46.405438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 788
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
618 
0
88 
Y
82 

Length

Max length4
Median length4
Mean length3.3527919
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> 618
78.4%
0 88
 
11.2%
Y 82
 
10.4%

Length

2024-04-18T02:55:46.480125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:46.557519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 618
78.4%
0 88
 
11.2%
y 82
 
10.4%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
662 
0
80 
1
 
39
2
 
7

Length

Max length4
Median length4
Mean length3.5203046
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> 662
84.0%
0 80
 
10.2%
1 39
 
4.9%
2 7
 
0.9%

Length

2024-04-18T02:55:46.642104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:46.721506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 662
84.0%
0 80
 
10.2%
1 39
 
4.9%
2 7
 
0.9%

건축물동수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
625 
1
86 
0
77 

Length

Max length4
Median length4
Mean length3.3794416
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> 625
79.3%
1 86
 
10.9%
0 77
 
9.8%

Length

2024-04-18T02:55:46.808327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:46.895711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 625
79.3%
1 86
 
10.9%
0 77
 
9.8%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct212
Distinct (%)71.4%
Missing491
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean4282.3366
Minimum0
Maximum488305
Zeros71
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-04-18T02:55:46.989666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1127.9
median999.52
Q32334.06
95-th percentile8033.982
Maximum488305
Range488305
Interquartile range (IQR)2206.16

Descriptive statistics

Standard deviation29698.233
Coefficient of variation (CV)6.9350534
Kurtosis241.48818
Mean4282.3366
Median Absolute Deviation (MAD)999.52
Skewness15.044751
Sum1271854
Variance8.8198505 × 108
MonotonicityNot monotonic
2024-04-18T02:55:47.097895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
 
9.0%
2503.24 2
 
0.3%
1284.46 2
 
0.3%
3653.0 2
 
0.3%
2677.94 2
 
0.3%
1157.22 2
 
0.3%
4991.45 2
 
0.3%
99.0 2
 
0.3%
2044.54 2
 
0.3%
4540.17 2
 
0.3%
Other values (202) 208
26.4%
(Missing) 491
62.3%
ValueCountFrequency (%)
0.0 71
9.0%
83.0 1
 
0.1%
99.0 2
 
0.3%
127.9 1
 
0.1%
148.66 1
 
0.1%
151.0 1
 
0.1%
201.96 1
 
0.1%
202.01 1
 
0.1%
211.23 1
 
0.1%
225.11 1
 
0.1%
ValueCountFrequency (%)
488305.0 1
0.1%
131035.57 1
0.1%
74943.96 1
0.1%
46167.34 1
0.1%
25094.42 1
0.1%
15590.0 1
0.1%
13667.74 1
0.1%
12020.42 1
0.1%
11839.94 1
0.1%
9856.75 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
702 
0
84 
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.6763959
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> 702
89.1%
0 84
 
10.7%
50 1
 
0.1%
100 1
 
0.1%

Length

2024-04-18T02:55:47.436643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:55:47.517766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 702
89.1%
0 84
 
10.7%
50 1
 
0.1%
100 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing788
Missing (%)100.0%
Memory size7.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01골프연습장업10_31_01_P3410000CDFH330105200700000120071105<NA>3폐업3폐업20091125<NA><NA><NA>053)212-3780<NA>700732대구광역시 중구 동인동2가 50-3번지 호수빌딩 7M층<NA><NA>우리들골프휘트니스20091126103252I2018-08-31 23:59:59.0<NA>344542.752498264410.068753골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
12골프연습장업10_31_01_P3410000CDFH330105201200000120121129<NA>4취소/말소/만료/정지/중지35직권말소20140612<NA><NA><NA><NA><NA>700261대구광역시 중구 서성로1가 109번지대구광역시 중구 경상감영길 1 (서성로1가)700261삼정골프20140612141835I2018-08-31 23:59:59.0<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23골프연습장업10_31_01_P3410000CDFH330105199800000119981221<NA>3폐업3폐업20190614<NA><NA><NA>427-8042<NA>700809대구광역시 중구 대봉동 44-215번지대구광역시 중구 대봉로 220-73 (대봉동)41954청운골프스쿨20190614100732U2019-06-16 02:40:00.0<NA>344769.018938263320.374802골프연습장업사립<NA><NA><NA>328.5<NA><NA><NA>
34골프연습장업10_31_01_P3410000CDFH330105200300000120030219<NA>3폐업3폐업20180911<NA><NA><NA>428-2217<NA>700412대구광역시 중구 삼덕동2가 28-1번지대구광역시 중구 공평로8길 29 (삼덕동2가)41940비앤제이20180911151336U2018-09-11 23:59:59.0<NA>344584.392161264140.939983골프연습장업사립<NA><NA><NA>895.05<NA><NA><NA>
45골프연습장업10_31_01_P3410000CDFH330105200500000220050321<NA>3폐업3폐업20190503<NA><NA><NA><NA><NA>700111대구광역시 중구 태평로1가 15번지대구광역시 중구 태평로 192 (태평로1가)41910청량골프20190503173953U2019-05-05 02:40:00.0<NA>344297.109016264941.456813골프연습장업사립<NA><NA><NA>714.28<NA><NA><NA>
56골프연습장업10_31_01_P3410000CDFH330105200800000220080527<NA>3폐업3폐업20130325<NA><NA><NA>423-5516<NA>700822대구광역시 중구 봉산동 35-15번지대구광역시 중구 동성로1길 38 (봉산동)700823메니아스크린골프20140123144235I2018-08-31 23:59:59.0<NA>344024.728712264053.735679골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
67골프연습장업10_31_01_P3410000CDFH330105201700000120170508<NA>3폐업3폐업20200617<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가대구광역시 중구 경상감영길 101, 중앙상가 (포정동)41918와우스크린골프20200617143908U2020-06-19 02:40:00.0<NA>343800.362369264745.47733골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
78골프연습장업10_31_01_P3410000CDFH330105201700000220170914<NA>3폐업3폐업20200617<NA><NA><NA>053-428-7007<NA><NA>대구광역시 중구 동인동2가 108-17번지 종각빌딩대구광역시 중구 국채보상로 673, 종각빌딩 (동인동2가)41908종각스크린골프20200617093029U2020-06-19 02:40:00.0<NA>344834.342272264443.735234골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
89골프연습장업10_31_01_P3410000CDFH330105201700000320171221<NA>3폐업3폐업20191219<NA><NA><NA>053-423-0707<NA><NA>대구광역시 중구 동인동1가 71번지대구광역시 중구 공평로 104 (동인동1가)41911대박스크린골프20191219134814U2019-12-21 02:40:00.0<NA>344560.477197264846.507527골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
910골프연습장업10_31_01_P3410000CDFH330105200900000220091006<NA>3폐업3폐업20200421<NA><NA><NA>422-7628<NA>700150대구광역시 중구 공평동 55-54번지 상림빌딩 6층대구광역시 중구 동성로6길 36 (공평동)41941동성로 휘트니스20200421100527U2020-04-23 02:40:00.0<NA>344182.117576264325.505092골프연습장업사립<NA><NA><NA>5554.38<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
778779골프연습장업10_31_01_P3480000CDFH330105201900000220190408<NA>1영업/정상13영업중<NA><NA><NA><NA>053-557-0707<NA><NA>대구광역시 달성군 구지면 응암리 1272-3번지대구광역시 달성군 구지면 국가산단대로42길 5-3943008대국골프20190422132931U2019-04-24 02:40:00.0<NA>328171.382416239961.682617골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
779780골프연습장업10_31_01_P3480000CDFH330105201900000320190529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 240번지대구광역시 달성군 화원읍 성천로26길 50, A동 1층42954CJ GDR골프연습장20200213102433U2020-02-15 02:40:00.0<NA>335177.980312257114.729223골프연습장업사립Y<NA><NA>998.37<NA><NA><NA>
780781골프연습장업10_31_01_P3480000CDFH330105201900000420190807<NA>1영업/정상13영업중<NA><NA><NA><NA>053-214-3966<NA><NA>대구광역시 달성군 다사읍 세천리 1686-5대구광역시 달성군 다사읍 세천로6길 1442921골프연구소 세천점20220331104141U2022-04-02 02:40:00.0<NA>332854.487916264528.243046골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
781782골프연습장업10_31_01_P3480000CDFH330105201900000520191030<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-0753<NA><NA>대구광역시 달성군 현풍읍 중리 489-1번지대구광역시 달성군 현풍읍 테크노상업로 48, 동신빌딩 6층43017유나골프20191030131424I2019-11-01 00:23:04.0<NA>331501.593718244623.565629골프연습장업사립Y<NA><NA><NA><NA><NA><NA>
782783골프연습장업10_31_01_P3480000CDFH330105201800000320180820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 본리리 2666대구광역시 달성군 옥포읍 비슬로447길 10-842971제이(J)골프20211224170829U2021-12-26 02:40:00.0<NA>332553.463002255494.539028골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
783784골프연습장업10_31_01_P3480000CDFH330105202100000120211115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1680-3대구광역시 달성군 다사읍 세천로7길 11, 1층42921세천 GDR 골프연습장20221028151845U2022-10-30 02:40:00.0<NA>332853.878961264812.731673골프연습장업사립<NA>000.00<NA><NA>
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